WO2021103726A1 - 资源配置数据的处理方法、装置及存储介质 - Google Patents

资源配置数据的处理方法、装置及存储介质 Download PDF

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Publication number
WO2021103726A1
WO2021103726A1 PCT/CN2020/112702 CN2020112702W WO2021103726A1 WO 2021103726 A1 WO2021103726 A1 WO 2021103726A1 CN 2020112702 W CN2020112702 W CN 2020112702W WO 2021103726 A1 WO2021103726 A1 WO 2021103726A1
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Prior art keywords
evaluation result
configuration data
resource configuration
popularity
target vehicle
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PCT/CN2020/112702
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English (en)
French (fr)
Inventor
周雪琪
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北京市商汤科技开发有限公司
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Priority to JP2020569990A priority Critical patent/JP2022515301A/ja
Priority to SG11202012623TA priority patent/SG11202012623TA/en
Priority to US17/123,180 priority patent/US20210165692A1/en
Publication of WO2021103726A1 publication Critical patent/WO2021103726A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0282—Rating or review of business operators or products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/07—Target detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/08—Detecting or categorising vehicles

Definitions

  • the present disclosure relates to the field of computer vision, and in particular to a method, device and storage medium for processing resource configuration data.
  • the embodiments of the present disclosure expect to provide a technical solution for a method for processing resource configuration data.
  • an embodiment of the present disclosure provides a method for processing resource allocation data, the method includes: acquiring the popularity and transaction volume of a target vehicle model in a target place within a preset time range; based on the popularity and the transaction volume The resource allocation data of the target vehicle model is evaluated to obtain the evaluation result of the resource allocation data; according to the evaluation result, the resource allocation data is adjusted or the resource adjustment suggestion corresponding to the evaluation result is output.
  • the evaluating the resource configuration data of the target vehicle model based on the popularity and the transaction volume to obtain the evaluation result of the resource configuration data includes: according to the popularity and the transaction volume.
  • the first comparison result is obtained based on the size relationship between the preset popularity;
  • the second comparison result is obtained according to the size relationship between the transaction volume and the preset transaction volume; based on the first comparison result and the second comparison As a result, the evaluation result was confirmed.
  • the preset time range includes a first preset time range and a second preset time range; the resource allocation for the target vehicle model is based on the popularity and the transaction volume Data is evaluated to obtain the evaluation result of the resource configuration data, including: determining the popularity within the first preset time range, relative to the first popularity within the second preset time range A change trend; determining the second change trend of the trading volume within the first preset time range relative to the trading volume within the second preset time range; based on the first change The trend and the second change trend determine the evaluation result.
  • the evaluation result includes at least two levels; the types of resource configuration data to be adjusted corresponding to different levels are different, and/or the adjustment methods of resource configuration data corresponding to different levels are different.
  • the determining the evaluation result based on the first comparison result and the second comparison result includes at least one of the following: the first comparison result indicates the popularity Is greater than or equal to the preset popularity, and the second comparison result indicates that the trading volume is less than the preset trading volume, the evaluation result is determined to be the first evaluation result; In a case where the result indicates that the popularity is less than the preset popularity, and the second comparison result indicates that the trading volume is greater than or equal to the preset trading volume, determining that the evaluation result is the second evaluation result; In a case where the first comparison result indicates that the popularity is less than the preset popularity, and the second comparison result indicates that the trading volume is less than the preset trading volume, it is determined that the evaluation result is the first Three evaluation results.
  • the determining the evaluation result based on the first change trend and the second change trend includes at least one of the following: when the first change trend is an upward trend, and When the second trend is a downward trend, it is determined that the evaluation result is a first evaluation result; when the first change trend is a downward trend and the second trend is an upward trend, the evaluation result is determined The evaluation result is the second evaluation result; when the first change trend is a downward trend and the second trend is a downward trend, the evaluation result is determined to be the third evaluation result.
  • the adjusting the resource configuration data according to the evaluation result includes at least one of the following: when the evaluation result includes the first evaluation result, adjusting the resource The content of configuration data, the resource configuration data includes online resource configuration data and/or offline resource configuration data; in the case that the evaluation result includes the second evaluation result, the adjustment of the offline resource configuration data Content; in the case where the evaluation result includes the third evaluation result, adjust the content of the online resource configuration data and the offline resource configuration data.
  • the content of the offline resource configuration data includes at least one of the placement location, selling price, after-sales service, and resource configuration data push mode of the target vehicle model; and/or,
  • the content of the online resource configuration data includes at least one of the present position, selling price, after-sales service, and resource configuration data push mode of the target vehicle-related information; and/or, the resource configuration data push mode includes at least At least one of the pushing time of the resource configuration data, the pushing interval of two adjacent resource configuration data, and the way of pushing the resource configuration data.
  • the acquiring the popularity of the target vehicle type in the target place within a preset time range includes: determining the corresponding target vehicle type based on the video images of multiple people visiting within the preset time range Based on the total stay time corresponding to the target vehicle type, determine the popularity of the target vehicle type.
  • the determining the total stay time corresponding to the target vehicle model based on the video images of the multiple people visited within the preset time range includes: based on the presence of the target in the multiple video images The location information of the person and the location information of the area where the target vehicle is located are determined to determine the vehicle type area where the target person is located; according to the collection time of multiple video images and the vehicle type area where the target person is located, multiple locations are determined The length of stay of the target person in the area where the target vehicle type is located in the video image; the total stay time corresponding to the target vehicle type is determined according to the stay time of a plurality of the target persons in the area where the target vehicle type is located duration.
  • the method is applied to a server, and the outputting a resource adjustment suggestion corresponding to the evaluation result according to the evaluation result includes: sending a resource adjustment corresponding to the evaluation result to a terminal Suggestions, so that the terminal displays at least part of the resource adjustment suggestions through a display interface.
  • the method is applied to a terminal, and the outputting a resource adjustment suggestion corresponding to the evaluation result according to the evaluation result includes: displaying at least part of the resource adjustment suggestion through the display interface of the terminal.
  • the resource adjustment suggestions corresponding to the evaluation results are described.
  • inventions of the present disclosure provide a device for processing resource configuration data.
  • the device includes: an acquisition module configured to acquire the popularity and transaction volume of a target vehicle model at a target location within a preset time range; an evaluation module, It is configured to evaluate the resource configuration data of the target vehicle model based on the popularity and the transaction volume to obtain the evaluation result of the resource configuration data; the execution module is configured to adjust the resource configuration according to the evaluation result Data or output resource adjustment suggestions corresponding to the evaluation results.
  • the evaluation module is configured to obtain the first comparison result according to the magnitude relationship between the popularity and the preset popularity; according to the magnitude between the transaction volume and the preset transaction volume Relationship, a second comparison result is obtained; and the evaluation result is determined based on the first comparison result and the second comparison result.
  • the preset time range includes a first preset time range and a second preset time range; the evaluation module is configured to determine all data within the first preset time range.
  • the popularity is relative to the first change trend of the popularity within the second preset time range; the transaction volume determined within the first preset time range is relative to the second preset time range.
  • the evaluation result includes at least two levels; the types of resource configuration data to be adjusted corresponding to different levels are different, and/or the adjustment methods of resource configuration data corresponding to different levels are different.
  • the evaluation module is configured to determine the evaluation result based on the first comparison result and the second comparison result, including at least one of the following: If the result indicates that the popularity is greater than or equal to the preset popularity, and the second comparison result indicates that the trading volume is less than the preset trading volume, it is determined that the evaluation result is the first evaluation result; In a case where the first comparison result indicates that the popularity is less than the preset popularity, and the second comparison result indicates that the trading volume is greater than or equal to the preset trading volume, it is determined that the evaluation result is The second evaluation result; in the case that the first comparison result indicates that the popularity is less than the preset popularity, and the second comparison result indicates that the transaction volume is less than the preset transaction volume, determine the The evaluation result is the third evaluation result.
  • the evaluation module is configured to determine the evaluation result based on the first change trend and the second change trend, including at least one of the following: When it is an upward trend and the second trend is a downward trend, the evaluation result is determined to be the first evaluation result; when the first change trend is a downward trend, and the second trend is an upward trend Next, it is determined that the evaluation result is a second evaluation result; when the first change trend is a downward trend and the second trend is a downward trend, the evaluation result is determined to be a third evaluation result.
  • the execution module is configured to adjust the resource configuration data according to the evaluation result, including at least one of the following: when the evaluation result includes the first evaluation result , Adjust the content of the resource configuration data, the resource configuration data includes online resource configuration data and/or offline resource configuration data; when the evaluation result includes the second evaluation result, adjust the line Download the content of the resource configuration data; if the evaluation result includes the third evaluation result, adjust the content of the online resource configuration data and the offline resource configuration data.
  • the content of the offline resource configuration data includes at least one of the placement location, selling price, after-sales service, and resource configuration data push mode of the target vehicle model; and/or,
  • the content of the online resource configuration data includes at least one of the present position, selling price, after-sales service, and resource configuration data push mode of the target vehicle-related information; and/or, the resource configuration data push mode includes at least At least one of the pushing time of the resource configuration data, the pushing interval of two adjacent resource configuration data, and the way of pushing the resource configuration data.
  • the acquisition module is configured to determine the total stay time corresponding to the target vehicle model based on the video images of multiple people visiting within the preset time range; The total stay time determines the popularity of the target vehicle type.
  • the acquisition module is configured to determine the vehicle type of the target person based on the location information of the target person appearing in the multiple video images and the location information of the area where the target vehicle type is located. Area; according to the collection time of the multiple video images and the vehicle type area where the target person is located, determine the length of stay of the target person in the multiple video images in the area where the target vehicle type is located; according to multiple The length of stay of the target person in the area where the target vehicle type is located determines the total length of stay corresponding to the target vehicle type.
  • the device is applied to a server; the execution module is configured to send a resource adjustment suggestion corresponding to the evaluation result to the terminal, so that the terminal displays at least part of the information on the display interface.
  • the resource adjustment recommendations are described.
  • the device is applied to a terminal; the execution module is configured to display at least part of the resource adjustment suggestions corresponding to the evaluation result through the display interface of the terminal.
  • embodiments of the present disclosure provide a device for processing resource configuration data.
  • the device includes a memory, a processor, and a computer program that is stored in the memory and can run on the processor, and the processor executes all The program is used to implement the steps of the resource configuration data processing method described in the embodiments of the present disclosure.
  • the embodiments of the present disclosure provide a computer storage medium, the computer storage medium stores a computer program, and when the computer program is executed by a processor, the processor executes the steps described in the embodiments of the present disclosure. Steps of the processing method of resource configuration data.
  • the embodiments of the present disclosure also provide a computer program that enables a computer to execute the resource configuration data processing method described in the embodiments of the present disclosure.
  • the technical solution provided by the embodiments of the present disclosure obtains the popularity and transaction volume of a target vehicle model in a target location within a preset time range; based on the popularity and the transaction volume, the resource allocation data of the target vehicle model is evaluated to obtain The evaluation result of the resource configuration data; according to the evaluation result, the resource configuration data is adjusted or the resource adjustment suggestion corresponding to the evaluation result is output.
  • the time spent in data sorting can be saved, that is, the time-consuming and labor-intensive problem caused by manual data sorting is solved.
  • the transaction volume is the data that can directly reflect the successful transaction
  • the heat is the data that has a greater impact on the transaction volume
  • the combination of the heat and the transaction volume can effectively reflect whether the resource allocation of the target model is reasonable.
  • the embodiment of the application can more accurately grasp the popularity and transaction volume data of the target vehicle model, and can provide the evaluation result of the resource allocation data of the target vehicle model, and can also provide a reasonable adjustment plan for the resource allocation data.
  • FIG. 1 is a schematic diagram of an implementation process of a method for processing resource configuration data provided by an embodiment of the disclosure
  • FIG. 2 is a schematic diagram of the implementation process of another method for processing resource configuration data provided by an embodiment of the present disclosure
  • FIG. 3 is a schematic diagram of a vehicle model popularity display interface provided by an embodiment of the disclosure.
  • FIG. 4 is a schematic diagram of the composition structure of a device for processing resource configuration data provided by an embodiment of the disclosure
  • FIG. 5 is a schematic diagram of the composition structure of another device for processing resource configuration data provided by an embodiment of the disclosure.
  • FIG. 6 is a schematic diagram of the hardware composition structure of a device for processing resource configuration data provided by an embodiment of the disclosure.
  • the embodiments of the present disclosure provide a method for processing resource configuration data.
  • the embodiments of the present disclosure can be applied to various electronic devices, including but not limited to fixed devices and/or mobile devices.
  • the fixed devices include but It is not limited to: a personal computer (PC, Personal Computer), or a server, etc.
  • the server may be a cloud server or a common server.
  • the mobile device includes but is not limited to one or more of a mobile phone, a tablet computer, or a wearable device. As shown in Figure 1, the method mainly includes the following steps:
  • Step 101 Obtain the popularity and transaction volume of the target vehicle model in the target place within a preset time range
  • Step 102 Evaluate the resource configuration data of the target vehicle model based on the popularity and the transaction volume to obtain an evaluation result of the resource configuration data;
  • Step 103 According to the evaluation result, adjust the resource configuration data or output a resource adjustment suggestion corresponding to the evaluation result.
  • the target location may generally refer to an area where vehicles can be exhibited, including but not limited to a 4S car sales service store, or a car shopping mall.
  • the preset time range may include a period of time starting from the start time and ending at the end time, such as one day, one week, one month, one quarter, six months, one year, etc. Assuming that the time range can be determined based on actual needs, the embodiment of the present disclosure does not limit the setting method, specific value, etc. of the preset time range. It should be noted that the end time is the time before the current moment.
  • the degree of popularity refers to the degree of attention (or degree of attention) of the target vehicle model.
  • the popularity of the target car model can be expressed by the total stay time corresponding to the target car model, and the total stay time is determined by the sum of the stay time of each target person in the car model area corresponding to the target car model; or based on the total stay time, The various feasibility changes carried out are expressed. Among them, the greater the total stay time, the greater the heat of the model; the smaller the total stay time, the less the heat of the model.
  • the preset time range is within the time range of 10:00-18:00 in the morning
  • the target The total stay time corresponding to car model 1 is 400 minutes; there are 10 target persons staying in the car model area corresponding to target car model 2, and the stay time of each target person is 5 minutes, so the total stay time corresponding to target car model 2 is 50 minutes.
  • the popularity of the target model 1 is greater than the popularity of the target model 2.
  • the transaction volume refers to the number of vehicle transaction transactions of the target model within a time unit, that is, the number of vehicle transaction transactions of the target model within a preset time range, that is, the target model within the preset time range.
  • the number of vehicles sold For example, the transaction volume of A-type cars in one month was 80 units, and the transaction volume of A-type cars in the first quarter was 300 units.
  • the resource configuration data may be resource configuration data related to the sales target vehicle model activity.
  • the resource configuration data may be data used to reflect the corresponding resources in the resource allocation plan adopted for the target vehicle model.
  • the resource configuration data includes, but is not limited to, one or a combination of multiple configuration, time configuration, space configuration, personnel configuration, and information network configuration.
  • the above-mentioned quantity configuration may include the quantity of target vehicle models to be sold.
  • the foregoing time configuration may include the time of the target vehicle model to be sold, and the time may be represented by at least one time dimension of year, quarter, month, date, and hour.
  • the above-mentioned spatial configuration may include the deployment position of the target vehicle model to be sold in the target location.
  • the above-mentioned personnel configuration may include configuration information of personnel for the target vehicle model to be sold, and so on, for example, may include the number of sales personnel for the target vehicle model to be sold.
  • the above-mentioned information network configuration may include the content of the recommended information for the target vehicle model to be sold and/or the recommended position in the target place or the network recommended position; wherein the recommended position in the target place can be understood as the entity advertisement in the target place
  • the recommended position such as a paper-based advertisement recommendation or a recommendation of various electronic screens in a target location, etc.; the network recommended position can be understood as an advertisement recommended position of a network platform, and so on.
  • the evaluation result can be used to reflect the magnitude of the impact on the transaction volume after the current resource configuration data has been configured for a period of time.
  • the evaluation result may include a change in the transaction volume of the target vehicle model after the resource configuration data has been configured for a period of time.
  • the adjusting the resource configuration data includes: matching, flowing, and reorganizing the resource configuration data within the scope of quantity, time, and space.
  • outputting the resource adjustment suggestions corresponding to the evaluation result includes: outputting resource adjustment suggestions for matching, flowing, and reorganizing resource configuration data within the scope of quantity, time, and space.
  • the technical solution provided by the embodiments of the present disclosure obtains the popularity and transaction volume of a target vehicle model in a target location within a preset time range; based on the popularity and the transaction volume, the resource allocation data of the target vehicle model is evaluated to obtain The evaluation result of the resource configuration data; according to the evaluation result, the resource configuration data is adjusted or the resource adjustment proposal corresponding to the evaluation result is output; in this way, the time spent in data sorting can be saved, that is, it is solved Time-consuming and labor-intensive problems caused by data sorting.
  • the transaction volume is the data that can directly reflect the successful transaction
  • the heat is the data that has a greater impact on the transaction volume
  • the combination of the heat and the transaction volume can effectively reflect whether the resource allocation of the target model is reasonable.
  • the embodiments of the present disclosure can more accurately grasp the popularity and transaction volume data of the target model, and can give the evaluation result of the resource allocation data of the target model, and can also provide reasonable resource adjustments of the resource allocation data.
  • Recommendations are conducive to targeted work and services based on the evaluation results of resource allocation data and adjustment plans, so that based on the results of data collation, the core factors that affect the transaction volume are locked, and the resource allocation based on the target vehicle model is reasonably planned. To further improve the customer experience and sales conversion rate.
  • the step 101 may include:
  • Step 1011 based on the video images of multiple people visited within the preset time range, determine the total stay time corresponding to the target vehicle type;
  • Step 1012 Determine the popularity of the target vehicle type based on the total stay time corresponding to the target vehicle type.
  • step 1011 includes:
  • Step 1011a Determine the vehicle type area where the target person is located based on the location information where the target person appears in the multiple video images and the location information of the area where the target vehicle type is located;
  • Step 1011b Determine the length of stay of the target person in the area where the target vehicle is located in the multiple video images according to the collection time of the multiple video images and the vehicle type area where the target person is located;
  • Step 1011c Determine the total stay time corresponding to the target vehicle type according to the stay time of the multiple target persons in the area where the target vehicle type is located.
  • target person may include persons other than those listed as whitelists.
  • the white list may include people who have little or no impact on the transaction volume, and usually people who belong to the white list often do not include customers who visit the target location.
  • the whitelist may include at least one of the following: 4S shop employees, cleaning staff, maintenance masters, couriers, takeaways, and so on. It should be noted that the persons in the whitelist can be set or adjusted according to the needs of the managers of the target location.
  • the video image of the image acquisition device when the video image of the image acquisition device is recognized, it is first determined whether the currently recognized object belongs to the white list, if it belongs to the white list, the current recognized object is ignored; if it does not belong to the white list , Determine that the currently recognized object is the target person, and record and analyze the stay time of the target person in the area where the multiple car models are located.
  • the area where the vehicle type is located is greater than or equal to the area occupied by the body of the vehicle of the vehicle type, and the area where the vehicle type is located can be determined automatically by the system or manually by a worker.
  • the area where each vehicle type is located can have an independent number and other identifications, and each identification is associated with the area where the vehicle type is located; each vehicle type can correspond to multiple areas.
  • the corresponding relationship between the vehicle type and the area may be determined based on manual settings by the user.
  • the corresponding relationship between the vehicle type and the area can also be determined based on the automatic setting of the system. For example, the system can automatically determine the corresponding vehicle type based on the shape of the vehicle body, and determine the corresponding identification of the vehicle type. Associate the area with the identification corresponding to the car model.
  • each vehicle type corresponds to an area.
  • Haval H6 cars are displayed in Area 1
  • Haval H7 cars are displayed in Area 2
  • Haval M6 cars are displayed in Area 3
  • Haval F7 cars are displayed in Area 4.
  • the same vehicle type may correspond to one or more regions.
  • Haval H6 cars are displayed in Area 1 and Area 2
  • Haval H7 cars are displayed in Area 3 and Area 4
  • Haval M6 cars are displayed in Area 5
  • Haval F7 cars are displayed in Area 6.
  • the relationship between the vehicle type and the region may be predetermined.
  • the manager of the target location can set the relationship between the vehicle model and the area, or determine the relationship between the vehicle model and the area based on the location of the vehicle.
  • determining the length of stay of the single target person in the area where the target vehicle type is located includes: responding to the adjacent appearance of the target person in the area where the target vehicle type is located and the adjacent The time difference corresponding to the appearance is less than or equal to a preset time threshold, and the time difference corresponding to the adjacent appearance is included in the stay time of the target person in the area where the target vehicle type is located.
  • determining the length of stay of the single target person in the area where the target vehicle type is located includes: responding to the time difference corresponding to the adjacent appearance of the target person in the area where the target vehicle type is located If it is greater than a preset time threshold, it is determined that the time difference corresponding to the adjacent appearance is not included in the stay time of the target person in the corresponding vehicle model area.
  • preset time threshold can be set or adjusted according to actual conditions or the needs of data maintenance personnel.
  • the front-end server responsible for image acquisition and image recognition processing sends a message every 1 minute to the back-end server responsible for car model analysis.
  • the message contains information about each target person. Time information and location information; the back-end server received a message about target person D’s visit information, specifically including that target person D appeared in the first model area at 9:00; at the 7th minute, the back-end server received information about the target Person D’s visit information specifically includes that target person D appeared in the first model area at 9:07; and at each time point from 9:00 to 9:07, the back-end server did not receive reports about target person D.
  • the background server determines that the target person D is actually only captured, and does not record the length of stay of the target person D.
  • the back-end server received the visit information about the target person B, specifically including the target person B appeared in the first model area at 9:01; in the second minute, the back-end server received the information about The visit information of target person B specifically includes that target person B appeared in the second model area at 9:02, at 3 minutes, 4 minutes, 5 minutes, 6 minutes, and 7 minutes, the back-end server did not receive information about the target person B’s message, the background server determines that the target person B has actually left, and does not record the stay time of the target person B.
  • the back-end server received the visit information about the target person C, specifically including the target person C appeared in the first model area at 9:01; in the second minute, the back-end server received information about The visit information of the target person C, specifically including the target person C appeared in the second model area at 9:02, at the 3rd, 4th, 5th, 6th, and 7th minutes, the background server did not receive the target person C’s message, then the background server determines that the target person C’s stay time in the area of the first vehicle type is 1 minute.
  • a preset time threshold is set to determine the length of time each target person stays in the vehicle type area, so as to provide a more reasonable and accurate data basis for determining the target person's car type of interest.
  • an independent accumulator is configured for each vehicle type area; with a set time period as a unit, the accumulator is used to accumulate the stay time of the target person appearing in the vehicle type area , Obtain the cumulative stay time of the vehicle type area within the set time period; accumulate the cumulative stay time of at least one of the vehicle type area within the set time period within the set time range to obtain the The total length of stay in the model area. Further, in response to the expiration of the set time period, the accumulator is reset.
  • the set time period can be set or adjusted according to the needs of the data maintenance personnel.
  • each model of the day has a separate accumulator. At the end of the day, the accumulated value of the accumulator is stored, and then the accumulator is reset. , In order to count the staying time of the target person in the next day.
  • the preset time range includes 3 set time periods, the cumulative stay time of the first model area in the first set time period is t1, and the cumulative stay of the first model area in the second set time period The duration is t2, and the accumulated stay time of the first vehicle type area in the third set time period is t3. Then, within the preset time range, the accumulated total stay time of the first vehicle type area is t1+t2+t3.
  • the method further includes: determining the car type of interest of each target person based on the stay time information of each target person for multiple target car models. For example, if a target person stays in the target car model 1 for 20 minutes and the target car model 1 stays in the target car model 1 for 5 minutes, it can indicate that the target person pays more attention to the target car model 1.
  • determining the car model of a single target person’s attention will facilitate the sales staff to provide targeted services to the target person when the target person visits next time, thereby improving the target person’s experience and sales conversion rate.
  • the step 101 may include: obtaining the transaction volume of the target vehicle type within a preset time range from the local or the first device.
  • the first device is a device that can be connected to the electronic device.
  • the connection manner between the first device and the electronic device is not limited, and the connection manner may be a wired connection or a wireless connection.
  • step 102 includes:
  • Step 1021 Obtain a first comparison result according to the magnitude relationship between the heat degree and the preset heat degree
  • Step 1022 Obtain a second comparison result according to the size relationship between the trading volume and the preset trading volume
  • Step 1023 Determine the evaluation result based on the first comparison result and the second comparison result.
  • the preset popularity may refer to the desired popularity
  • the preset trading volume may refer to the desired trading volume.
  • the preset popularity and/or preset transaction volume can be set in advance according to the time invested for the target model, labor costs, etc., and/or business needs, and the setting method is not limited here.
  • the first comparison result represents a comparison result of the magnitude of the heat degree and the preset heat degree.
  • the first comparison result includes: the heat degree is greater than or equal to the preset heat degree; or the heat degree is less than the preset heat degree. It can be understood that the first comparison result represents whether the current popularity corresponding to the target vehicle model meets the preset popularity (that is, whether it meets expectations).
  • the second comparison result represents a comparison result of the size of the transaction volume and the preset transaction volume.
  • the second comparison result includes: the trading volume is greater than or equal to the preset trading volume; or, the trading volume is less than the preset trading volume. It can be understood that the second comparison result represents whether the transaction volume corresponding to the target vehicle model meets the preset transaction volume (ie, whether the transaction and sales situation meets expectations).
  • the evaluation result is determined based on the first comparison result and the second comparison result, including at least one of the following: the first comparison result indicates that the popularity is greater than or Is equal to the preset popularity, and the second comparison result indicates that the trading volume is less than the preset trading volume, the evaluation result is determined to be the first evaluation result; in the first comparison result Indicates that the popularity is less than the preset popularity, and the second comparison result indicates that the trading volume is greater than or equal to the preset trading volume, the evaluation result is determined to be the second evaluation result; In the case where the first comparison result indicates that the popularity is less than the preset popularity, and the second comparison result indicates that the trading volume is less than the preset trading volume, it is determined that the evaluation result is a third evaluation result.
  • the evaluation result includes at least two levels, the types of resource configuration data to be adjusted corresponding to different levels are different, and/or the adjustment methods of resource configuration data corresponding to different levels are different.
  • the first evaluation result, the second evaluation result, and the third evaluation result are different evaluation results, that is, evaluation results of different levels.
  • the evaluation result of the resource allocation data of the target vehicle model can be given, which is helpful for the subsequent adjustment plan for the resource allocation data of the target vehicle model based on the evaluation result, thereby helping the staff to carry out targeted work according to the adjustment plan And service to improve customer experience and sales conversion rate.
  • adjusting the resource configuration data according to the evaluation result includes at least one of the following: when the evaluation result includes the first evaluation result, adjusting the content of the resource configuration data,
  • the resource configuration data includes online resource configuration data and/or offline resource configuration data; when the evaluation result includes the second evaluation result, the content of the offline resource configuration data is adjusted; If the evaluation result includes the third evaluation result, adjust the content of the online resource configuration data and the offline resource configuration data.
  • outputting the resource adjustment suggestion corresponding to the evaluation result may include at least one of the following: in the case where the evaluation result includes the first evaluation result, outputting the first resource An adjustment suggestion, where the first resource adjustment suggestion includes adjustments to online resource configuration data and/or offline resource configuration data included in the resource configuration data; when the evaluation result includes the second evaluation result Next, output a second resource adjustment suggestion, where the second resource adjustment suggestion includes adjusting the content of the offline resource configuration data included in the resource configuration data; in the case where the evaluation result includes the third evaluation result , Outputting a third resource adjustment suggestion, where the third resource adjustment suggestion includes adjusting the content of the online resource configuration data and the offline resource configuration data included in the resource configuration data.
  • online resource configuration data may refer to a business model based on online transactions of goods or services on an e-commerce website.
  • online resource configuration data includes at least one or a combination of the following: product presentation position, presentation time, advertisement push content, TV broadcast content, etc. on the webpage.
  • product presentation position e.g., product presentation position
  • presentation time e.g., presentation time
  • advertisement push content e.g., advertisement push content
  • TV broadcast content etc. on the webpage.
  • the specific content of the online resource configuration data is not limited here, and the same or different online resource configuration data can be selected in combination with different scenarios and requirements.
  • offline resource configuration data may refer to a business model based on the actual experience of goods or services in a physical store.
  • offline resource configuration data includes at least one or a combination of the following: the placement of billboards in the physical store, the placement of products in the physical store, the frequency and time of display objects in the physical store, etc. , Of course, it can also include more or less than the above-mentioned examples.
  • the specific content of offline resource configuration data is not limited here. Combining different scenarios and needs, you can select the same or different offline resources Configuration Data.
  • the content of the offline resource configuration data may at least include at least one of a placement location, selling price, after-sales service, and resource configuration data push mode of the target vehicle model.
  • the content of the online resource configuration data may at least include at least one of the present position, selling price, after-sales service, and resource configuration data push mode of the target vehicle-related information.
  • the aforementioned resource configuration data pushing method may include at least one of the pushing time of the resource configuration data, the pushing interval of two adjacent resource configuration data, and the way of pushing the resource configuration data.
  • the content of adjusting the allocation of online resources includes: reducing the price of the target model, extending the warranty period, increasing auxiliary gifts, increasing cash back, increasing the frequency of message pushes, and so on.
  • the content of adjusting offline resource allocation includes: swapping the placement position of the target model with that of the less popular model, reducing the price of the target model, extending the warranty period, increasing the intensity of gifts, and increasing the push of news Frequency and so on.
  • a first resource adjustment suggestion is output, and the first resource adjustment suggestion includes adjusting online resource configuration data and/or offline resource configuration data.
  • the adjustment suggestions for online resource allocation data included in the first resource adjustment suggestion may include: lowering the price of the target model, extending the warranty period, increasing auxiliary gifts, increasing cash back, increasing the frequency of message pushes, etc. Wait.
  • the adjustment suggestions for offline resource allocation data included in the first resource adjustment suggestion may include: swapping the placement position of the target model with that of the less popular model, reducing the price of the target model, and extending the warranty Period, increase the intensity of gifts, increase the frequency of news push, and so on.
  • the content of the offline resource configuration data is adjusted. For example, by adjusting the placement position of the target car model, etc., the placement position of the target car model can be reversed with the placement position of the hot car model to increase the frequency of message push.
  • a second resource adjustment suggestion is output, and the second resource adjustment suggestion includes adjusting the content of offline resource configuration data.
  • the adjustment proposal for offline resource allocation data included in the second resource adjustment proposal may include: adjusting the placement position of the target vehicle model, and so on.
  • the online resource configuration data and the offline resource configuration data are adjusted.
  • the content of adjusting the allocation of online resources includes: reducing the price of the target model, extending the warranty period, increasing auxiliary gifts, increasing cash back, increasing the frequency of message pushes, and so on.
  • adjusting the content of offline resource configuration data includes: adjusting the placement position of the target vehicle type, which can change the target vehicle type from the current placement position to a better placement position, and increase the frequency of message push.
  • a third resource adjustment suggestion is output, and the third resource adjustment suggestion includes adjustments to online resource configuration data and offline resource configuration data.
  • the third resource adjustment proposal includes adjustment suggestions for online resource allocation data, including: lowering the price of the target model, extending the warranty period, increasing auxiliary gifts, increasing cash back, increasing the frequency of message pushes, etc. Wait.
  • the adjustment proposal for offline resource allocation data included in the third resource adjustment proposal may include: adjusting the placement position of the target vehicle model.
  • determining the evaluation result based on the first comparison result and the second comparison result further includes: when the first comparison result indicates that the heat degree is greater than or equal to the preset heat degree, and If the second comparison result indicates that the trading volume is greater than or equal to the preset trading volume, it is determined that the evaluation result is the fourth evaluation result. Further, adjusting the resource allocation data according to the evaluation result also includes: in the case that the evaluation result is the fourth evaluation result, considering that the popularity and transaction volume of the target vehicle model have reached the expected situation Therefore, the adjustment of the resource configuration data may not be performed.
  • outputting the resource adjustment suggestion corresponding to the evaluation result may include: in the case that the evaluation result is the fourth evaluation result, considering that the popularity and transaction volume of the target vehicle model have been The expected situation is reached. Therefore, the resource adjustment proposal may not include any adjustment proposal.
  • the preset time range includes a first preset time range and a second preset time range; then the step 102 includes: determining that the time is within the first preset time range The popularity is relative to the first change trend of the popularity within the second preset time range; it is determined that the transaction volume within the first preset time range is relative to the second A second change trend of the trading volume within a preset time range; and the evaluation result is determined based on the first change trend and the second change trend.
  • the first preset time range is a part of the preset time range; the second preset time range is a part of the preset time range.
  • the union of the first preset time range and the second preset time range is less than or equal to the preset time range.
  • the start point of the second preset time range is later than the start point of the first preset time range.
  • the first preset time range and the second preset time range may overlap.
  • the preset time range may be January 1 to 30
  • the first preset time range may be January 1 to 20
  • the second preset time range is January 11. Day to 30th.
  • the first preset time range and the second preset time range may be seamlessly connected, that is, the first preset time range and the second preset time range are continuous.
  • the preset time range may be January 1 to 30
  • the first preset time range may be January 1 to 15
  • the second preset time range may be January 16th to 30th.
  • the first preset time range and the second preset time range may be discontinuous.
  • the preset time range may be January 1 to 30
  • the first preset time range may be January 1 to 10
  • the second preset time range may be January 20th to 30th.
  • the first change trend represents the change of the heat in the first preset time range with respect to the heat in the second preset time range.
  • the first change trend includes: an upward trend; or a downward trend; or, the relative change is relatively stable, or there is no change, that is, there is no change trend.
  • the second change trend represents the change of the trading volume in the first preset time range with respect to the trading volume in the second preset time range.
  • the second change trend includes: an upward trend; or, a downward trend; or, the relative change is relatively stable, or there is no change, that is, there is no change trend.
  • the evaluation result includes at least two levels, the types of resource configuration data to be adjusted corresponding to different levels are different, and/or the adjustment methods of resource configuration data corresponding to different levels are different.
  • the change trend can be more effectively reflected in the adjustment of resource allocation data, the stage or the impact on the transaction volume over a period of time, therefore, in an implementation method, it can be based on the change trend. Determine the evaluation result of the current resource configuration data.
  • the evaluation result is determined based on the first change trend and the second change trend, including at least one of the following: when the first change trend is an upward trend, and the second change trend When the trend is a downward trend, the evaluation result is determined to be the first evaluation result; when the first change trend is a downward trend and the second trend is an upward trend, the evaluation result is determined to be the first Two evaluation results; in the case where the first change trend is a downward trend, and the second trend is a downward trend, it is determined that the evaluation result is a third evaluation result.
  • adjusting the resource configuration data according to the evaluation result includes at least one of the following: when the evaluation result includes the first evaluation result, adjusting the content of the resource configuration data,
  • the resource configuration data includes online resource configuration data and/or offline resource configuration data; when the evaluation result includes the second evaluation result, the content of the offline resource configuration data is adjusted; If the evaluation result includes the third evaluation result, adjust the content of the online resource configuration data and the offline resource configuration data.
  • outputting the resource adjustment suggestion corresponding to the evaluation result may include at least one of the following: in the case where the evaluation result includes the first evaluation result, outputting the first resource An adjustment suggestion, where the first resource adjustment suggestion includes adjustments to online resource configuration data and/or offline resource configuration data included in the resource configuration data; when the evaluation result includes the second evaluation result Next, output a second resource adjustment suggestion, where the second resource adjustment suggestion includes adjusting the content of the offline resource configuration data included in the resource configuration data; in the case where the evaluation result includes the third evaluation result , Outputting a third resource adjustment suggestion, where the third resource adjustment suggestion includes adjusting the content of the online resource configuration data and the offline resource configuration data included in the resource configuration data.
  • the content of the offline resource configuration data may at least include at least one of the placement location, selling price, after-sales service, and resource configuration data push mode of the target vehicle model;
  • the content of the resource configuration data may at least include at least one of the present position, selling price, after-sales service, and resource configuration data push mode of the target vehicle-related information.
  • the resource configuration data pushing method may include at least one of the pushing time of the resource configuration data, the pushing interval of two adjacent resource configuration data, and the way of pushing the resource configuration data.
  • the online resource configuration data and/or the offline resource configuration data are adjusted.
  • the content of adjusting the allocation of online resources includes: reducing the price of the target model, extending the warranty period, increasing auxiliary gifts, increasing cash back, increasing the frequency of message pushes, and so on.
  • the content of adjusting offline resource allocation includes: swapping the placement position of the target model with that of the less popular model, reducing the price of the target model, extending the warranty period, increasing the intensity of gifts, and increasing the push of news Frequency and so on.
  • a first resource adjustment suggestion is output, and the first resource adjustment suggestion includes adjusting online resource configuration data and/or offline resource configuration data.
  • the adjustment suggestions for online resource allocation data included in the first resource adjustment suggestion may include: lowering the price of the target model, extending the warranty period, increasing auxiliary gifts, increasing cash back, increasing the frequency of message pushes, etc. Wait.
  • the adjustment suggestions for offline resource allocation data included in the first resource adjustment suggestion may include: swapping the placement position of the target model with that of the less popular model, reducing the price of the target model, and extending the warranty Period, increase the intensity of gifts, increase the frequency of news push, and so on.
  • the popularity in the first preset time range is in a downward trend relative to the popularity in the second preset time range
  • the transaction volume in the first preset time range is relative to that in the second preset time range
  • adjust the content of offline resource allocation data For example, by adjusting the placement position of the target car model, etc., the placement position of the target car model can be reversed with the placement position of the hot car model to increase the frequency of message push.
  • a second resource adjustment suggestion is output, and the second resource adjustment suggestion includes adjusting the content of offline resource configuration data.
  • the adjustment proposal for offline resource allocation data included in the second resource adjustment proposal may include: adjusting the placement position of the target vehicle model, and so on.
  • the content of adjusting the allocation of online resources includes: reducing the price of the target model, extending the warranty period, increasing auxiliary gifts, increasing cash back, increasing the frequency of message pushes, and so on.
  • adjusting the content of offline resource configuration data includes: adjusting the placement position of the target vehicle type, which can change the target vehicle type from the current placement position to a better placement position, and increase the frequency of message pushes.
  • a third resource adjustment suggestion is output, and the third resource adjustment suggestion includes adjustments to online resource configuration data and offline resource configuration data.
  • the third resource adjustment proposal includes adjustment suggestions for online resource allocation data, including: lowering the price of the target model, extending the warranty period, increasing auxiliary gifts, increasing cash back, increasing the frequency of message pushes, etc. Wait.
  • the adjustment proposal for offline resource allocation data included in the third resource adjustment proposal may include: adjusting the placement position of the target vehicle model.
  • determining the evaluation result based on the first comparison result and the second comparison result further includes: when the first change trend is an upward trend, and the second trend is an upward trend , It is determined that the evaluation result is the fourth evaluation result.
  • adjusting the resource allocation data according to the evaluation result also includes: in the case that the evaluation result is the fourth evaluation result, considering that the popularity and transaction volume of the target vehicle model have reached the expected situation Therefore, the adjustment of the resource configuration data may not be performed.
  • outputting the resource adjustment suggestion corresponding to the evaluation result may include: in the case that the evaluation result is the fourth evaluation result, considering that the popularity and transaction volume of the target vehicle model have been The expected situation is reached. Therefore, the resource adjustment proposal may not include any adjustment proposal.
  • the staff can input the query conditions through the terminal to lock the preset time range for obtaining the evaluation result and the corresponding adjustment plan.
  • the method when the method is applied to a server, the method further includes: receiving a query condition sent by a terminal, where the query condition includes at least the preset time range; and responding to the Query conditions to obtain the popularity and transaction volume of the target vehicle model in the target location within a preset time range; based on the popularity and the transaction volume, evaluate the resource configuration data of the target vehicle model to obtain the resource configuration data Evaluation result; according to the evaluation result, adjust the resource configuration data.
  • the technical solution provided by the embodiments of the present disclosure obtains the popularity and transaction volume of a target vehicle model in a target location within a preset time range; based on the popularity and the transaction volume, the resource allocation data of the target vehicle model is evaluated to obtain The evaluation result of the resource configuration data; according to the evaluation result, the resource configuration data is adjusted or the resource adjustment suggestions corresponding to the evaluation result are output; in this way, the popularity and transaction volume data of the target vehicle model can be grasped more accurately, Moreover, it can give the evaluation result of the resource allocation data of the target model, and can also give a reasonable adjustment plan of the resource allocation data, which is conducive to the targeted work and service based on the evaluation result of the resource allocation data and the adjustment plan. Based on the results of data collation, while locking in the core factors that affect the transaction volume, rationally plan the resource allocation based on the target model to further improve the customer experience and sales conversion rate.
  • the above method may be applied to a server, where the server may be a cloud server and/or a front-end server.
  • the above method is implemented by a front-end server (such as an all-in-one video machine) and a cloud server, where the front-end server Perform face and human tracking on the collected images to obtain face and human tracking results, and determine which image information is used for pedestrian recognition based on the quality of the face and/or human image, and then send the determined image information to the cloud server;
  • the server receives the image information sent by the front-end server, it queries the corresponding database based on the received image information, obtains the pedestrian recognition result, and sends the corresponding various processing results to the terminal.
  • outputting a resource adjustment suggestion corresponding to the evaluation result according to the evaluation result includes: sending a resource adjustment suggestion corresponding to the evaluation result to a terminal, so that the terminal At least part of the resource adjustment suggestions are displayed through the display interface.
  • the server can send information such as the popularity of the target vehicle model and the transaction volume of the vehicle model, as well as the evaluation result of the resource configuration data of the vehicle model, and the adjustment plan corresponding to the evaluation result to the terminal, so as to display the above information through the terminal, which is convenient for Relevant staff can quickly see information such as the popularity of the current target model and the transaction volume of the model, as well as the evaluation results of the resource allocation data of the model, and the adjustment plan corresponding to the evaluation result, so that the relevant staff can easily access the relevant resources of the target model. Quickly adjust the configuration data.
  • the method is applied to a terminal, and outputting a resource adjustment suggestion corresponding to the evaluation result according to the evaluation result includes: displaying at least part of the evaluation result through a display interface of the terminal The corresponding resource adjustment suggestions.
  • the terminal can display at least part of the information through the display interface such as the popularity of the target model and the transaction volume of the model, as well as the evaluation result of the resource configuration data of the model, and the adjustment plan corresponding to the evaluation result through the display interface, so as to pass
  • the terminal displays the above information so that relevant staff can quickly see the current target model’s popularity and model transaction volume, as well as the evaluation results of the model’s resource allocation data and the adjustment plan corresponding to the evaluation results, which is convenient for relevant staff
  • the relevant resource allocation data of the target vehicle model can be quickly adjusted.
  • the embodiments of the present disclosure provide a method for processing resource configuration data, which is applied to a terminal.
  • the terminal includes but is not limited to a fixed terminal and/or a mobile terminal.
  • the fixed terminal includes, but is not limited to, a PC, or a TV, etc.
  • the mobile terminal includes, but is not limited to, a mobile phone, or a tablet computer, or a wearable device, etc.
  • the method includes the following steps.
  • Step 201 Receive an evaluation result of the resource allocation data of the target vehicle type; wherein the evaluation result is obtained based on the popularity and transaction volume of the target vehicle type at the target location within a preset time range.
  • Step 202 Display the evaluation result.
  • the method further includes: receiving a resource adjustment suggestion corresponding to the evaluation result, and displaying the resource adjustment suggestion.
  • the method further includes: receiving a query condition, the query condition at least including the preset time range; and sending the query condition to an electronic device.
  • the terminal can provide the terminal with the evaluation results and adjustment results of the resource configuration data of the target vehicle model that are compatible with the query conditions, which is beneficial to the staff to perform targeted work and services based on the evaluation results and adjustment results of the vehicle model, thereby improving customer experience and sales Conversion rate.
  • Figure 3 shows a vehicle model popularity display interface. As shown in Figure 3, the store model popularity rankings are displayed on the display interface. Of course, other data can also be displayed on the display interface.
  • the calculation method of the stay time of the same vehicle type includes: calculating the staying time of all target persons in each vehicle type area within a preset time period, and accumulating the staying time of the same vehicle type area.
  • Each model of the day has a separate dwell time accumulator, which is placed on the market at the end of the day.
  • the receiving time range on the terminal is the query condition of D1 on a certain historical day
  • the server filters out the stay time of each vehicle type on D1 from the database based on the query condition, and ranks the vehicle popularity rankings.
  • the receiving time range on the terminal is the query condition of D-Current of the day
  • the server filters out the staying time of each vehicle model on D-Current from the accumulator based on the query condition, and the ranking of vehicle popularity is obtained after sorting;
  • the terminal receives the query conditions in the time range of D1 ⁇ D2, and the server filters out the staying time of each vehicle type D1 ⁇ D2 from the database or accumulator based on the query conditions, and then groups them and accumulates them by vehicle type. Get the total length of stay of each model, and get the popularity ranking of the models after sorting.
  • 4S store sales and stores can detect the attention and enthusiasm of the target person in the store for each model, combined with the store model promotion needs and marketing strategies, and provide data support for the placement of models in the 4S store and feedback on the effects of marketing activities; in particular; For regional companies, dealers, and OEMs, they can remotely know the level of attention of various store target groups on each model without leaving home, so as to support operational decision-making and evaluation of sales/store work effects.
  • the display interface shown in FIG. 3 is an optional display manner, but is not limited to this.
  • an embodiment of the present disclosure provides a device for processing resource configuration data.
  • the device includes: an acquisition module 10 configured to acquire information about a target location. The popularity and transaction volume of the target vehicle model within a preset time range; the evaluation module 20 is configured to evaluate the resource allocation data of the target vehicle model based on the popularity and the transaction volume to obtain an evaluation of the resource allocation data Result; execution module 30, configured to adjust the resource configuration data or output resource adjustment suggestions corresponding to the evaluation result according to the evaluation result.
  • the evaluation module 20 is configured to: obtain a first comparison result according to the relationship between the popularity and the preset popularity; according to the relationship between the transaction volume and the preset transaction volume , Obtain a second comparison result; determine the evaluation result based on the first comparison result and the second comparison result.
  • the preset time range includes a first preset time range and a second preset time range; the evaluation module 20 is configured to: determine the The popularity is relative to the first change trend of the popularity within the second preset time range; determining the trading volume within the first preset time range is relative to the second preset time range The second change trend of the trading volume within a time range; the evaluation result is determined based on the first change trend and the second change trend.
  • the evaluation result includes at least two levels; the types of resource configuration data to be adjusted corresponding to different levels are different, and/or the adjustment methods of resource configuration data corresponding to different levels are different.
  • the evaluation module 20 is configured to determine the evaluation result based on the first comparison result and the second comparison result, including at least one of the following: If the popularity is greater than or equal to the preset popularity, and the second comparison result indicates that the trading volume is less than the preset trading volume, it is determined that the evaluation result is the first evaluation result; In the case where the first comparison result indicates that the popularity is less than the preset popularity, and the second comparison result indicates that the trading volume is greater than or equal to the preset trading volume, it is determined that the evaluation result is the second Evaluation result; in the case where the first comparison result indicates that the popularity is less than the preset popularity, and the second comparison result indicates that the trading volume is less than the preset trading volume, the evaluation is determined The result is the third evaluation result.
  • the evaluation module 20 is configured to determine the evaluation result based on the first change trend and the second change trend, including at least one of the following: Trend, and the second trend is a downward trend, the evaluation result is determined to be the first evaluation result; when the first change trend is a downward trend, and the second trend is an upward trend, It is determined that the evaluation result is a second evaluation result; in a case where the first change trend is a downward trend and the second trend is a downward trend, the evaluation result is determined to be a third evaluation result.
  • the execution module 30 is configured to adjust the resource configuration data according to the evaluation result, including at least one of the following: when the evaluation result includes the first evaluation result, adjust The content of the resource configuration data, the resource configuration data includes online resource configuration data and/or offline resource configuration data; if the evaluation result includes the second evaluation result, the offline resource is adjusted Configuration data content; in the case where the evaluation result includes the third evaluation result, adjust the content of the online resource configuration data and the offline resource configuration data.
  • the content of the offline resource configuration data includes at least one of the placement location, selling price, after-sales service, and resource configuration data push mode of the target model; and/or, the online
  • the content of the resource configuration data at least includes at least one of the presentation location, selling price, after-sales service, and resource configuration data push method of the target vehicle-related information; and/or, the resource configuration data push method includes at least resource configuration data At least one of the push time of the resource configuration data, the push interval of two adjacent resource configuration data, and the way to push the resource configuration data.
  • the acquisition module 10 is configured to determine the total stay time corresponding to the target vehicle type based on the video images of multiple people visiting within the preset time range; and based on the total stay time corresponding to the target vehicle type The duration determines the popularity of the target vehicle type.
  • the acquisition module 10 is configured to determine the vehicle type area where the target person is located based on the location information of the target person appearing in the multiple video images and the location information of the area where the target vehicle type is located; According to the collection time of the multiple video images and the vehicle type area where the target person is located, determine the length of stay of the target person in the multiple video images in the area where the target vehicle type is located; The stay time of the target person in the area where the target vehicle type is located is determined to determine the total stay time corresponding to the target vehicle type.
  • the device is applied to a server; the execution module 30 is configured to send a resource adjustment suggestion corresponding to the evaluation result to the terminal, so that the terminal displays at least part of the resource through a display interface Adjustment recommendations.
  • the device is applied to a terminal; the execution module 30 is configured to display at least part of the resource adjustment suggestions corresponding to the evaluation result through the display interface of the terminal.
  • each processing unit in the device for processing resource configuration data shown in FIG. 4 can be implemented by a program running on a processor, or can be implemented by a specific logic circuit.
  • the above-mentioned specific structures of the acquisition module 10 and the evaluation module 20 can all correspond to a processor.
  • the specific structure of the processor may be a central processing unit (CPU, Central Processing Unit), a microprocessor (MCU, Micro Controller Unit), a digital signal processor (DSP, Digital Signal Processing), or a programmable logic device (PLC, Programmable Logic Controller) and other electronic components or collections of electronic components with processing functions.
  • CPU Central Processing Unit
  • MCU Micro Controller Unit
  • DSP Digital Signal Processing
  • PLC programmable logic device
  • the specific structure of the execution module 30 may correspond to a processor combined with a communication interface, and the communication interface may be used in actual applications through a communication module (including: basic communication suite) , Operating system, communication module, standardized interface and protocol, etc.) and the realization of the transceiver antenna.
  • the specific structure of the execution module 30 may correspond to a processor combined with a display screen.
  • the processor includes executable code, the executable code is stored in a storage medium, and the processor may be connected to the storage medium through a communication interface such as a bus.
  • the part of the storage medium for storing the executable code is preferably a non-transitory storage medium.
  • the resource configuration data processing device can more accurately grasp the popularity and transaction volume data of the target vehicle model, and can also give the evaluation result of the resource configuration data of the target vehicle model, and can also provide a reasonable resource configuration
  • the data adjustment plan is conducive to the targeted work and services based on the evaluation results of the resource allocation data and the adjustment plan, so that based on the data collation results, the core factors that affect the transaction volume are locked, and the resources based on the target model can be rationally planned. Distribution to further improve customer experience and sales conversion rate.
  • an embodiment of the present disclosure provides an apparatus for processing resource configuration data, which is applied to a terminal.
  • the apparatus includes: a communication module 40 configured to receive The evaluation result of the resource allocation data of the target vehicle type; the display processing module 50 is configured to display the evaluation result; wherein the evaluation result is obtained based on the popularity and transaction volume of the target vehicle type at the target location within a preset time range .
  • the popularity is obtained based on the total stay time corresponding to multiple vehicle types within a preset time range.
  • the communication module 40 is further configured to receive a resource adjustment suggestion corresponding to the evaluation result; the display processing module 50 is further configured to display the resource adjustment suggestion.
  • the device further includes: an input module 60 (not shown in FIG. 5), configured to receive query conditions, the query conditions including at least the preset time range; the communication module 40, It is configured to send the query condition to the electronic device.
  • an input module 60 configured to receive query conditions, the query conditions including at least the preset time range
  • the communication module 40 It is configured to send the query condition to the electronic device.
  • each processing module in the device for processing resource configuration data shown in FIG. 5 can be understood with reference to the foregoing description of the method for processing resource configuration data applied to the terminal.
  • the function of each processing unit in the device for processing resource configuration data shown in FIG. 5 can be realized by a program running on a processor, or can be realized by a specific logic circuit.
  • the specific structure of the above-mentioned communication module 40 may correspond to a communication interface, and the communication interface may pass through a communication module (including: basic communication kit, operating system, communication module, standardized interface and protocol, etc.) in actual application. And the transceiver antenna is realized.
  • the specific structure of the above-mentioned display processing module 50 may correspond to a processor combined with a display screen.
  • the specific structure of the aforementioned input module 60 may correspond to a processor.
  • the specific structure of the processor may be an electronic component or a collection of electronic components with processing functions such as a CPU, MCU, DSP, or PLC.
  • the processor includes executable code
  • the executable code is stored in a storage medium
  • the processor may be connected to the storage medium through a communication interface such as a bus.
  • a communication interface such as a bus.
  • the part of the storage medium for storing the executable code is preferably a non-transitory storage medium.
  • the resource configuration data processing device can more accurately grasp the popularity and transaction volume data of the target vehicle model, and can also give the evaluation result of the resource configuration data of the target vehicle model, and can also provide a reasonable resource configuration
  • the data adjustment plan is conducive to the targeted work and services based on the evaluation results of the resource allocation data and the adjustment plan, so that based on the data collation results, the core factors that affect the transaction volume are locked, and the resources based on the target model can be rationally planned. Distribution to further improve customer experience and sales conversion rate.
  • FIG. 6 is a schematic diagram of the hardware composition structure of the device for processing resource configuration data provided by an embodiment of the present disclosure.
  • the device includes: a memory 62 , A processor 61 and a computer program stored on the memory 62 and running on the processor 61, when the processor 61 executes the program, the processor 61 implements the resources provided by any one of the foregoing technical solutions for use in electronic equipment or in terminals How to configure the data.
  • each processing unit in the device for processing resource configuration data shown in FIG. 4 or FIG. 5 may be implemented by a program running on a processor, or may be implemented by a specific logic circuit.
  • the resource configuration data processing device can more accurately grasp the popularity and transaction volume data of the target vehicle model, and can also give the evaluation result of the resource configuration data of the target vehicle model, and can also provide a reasonable resource configuration
  • the data adjustment plan is conducive to the targeted work and services based on the evaluation results of the resource allocation data and the adjustment plan, so that based on the data collation results, the core factors that affect the transaction volume are locked, and the resources based on the target model can be rationally planned. Distribution to further improve customer experience and sales conversion rate.
  • the device for processing resource configuration data when the device for processing resource configuration data is applied to a server, the device for processing resource configuration data further includes a communication interface 64.
  • the communication interface 64 is used for wired or wireless communication between the resource configuration data processing device and other devices.
  • the device for processing resource configuration data when the device for processing resource configuration data is applied to a terminal, the device for processing resource configuration data further includes a display 65.
  • the display 65 may include a liquid crystal display (LCD, Liquid Crystal Display) and a touch panel (TP, Touch Panel). If the screen includes a touch panel, the screen can be implemented by a touch screen to receive input signals from the user.
  • LCD liquid crystal display
  • TP Touch Panel
  • bus system 63 is used to implement connection and communication between these components.
  • bus system 63 also includes a power bus, a control bus, and a status signal bus.
  • various buses are marked as the bus system 63 in FIG. 6.
  • the memory 62 may be a volatile memory or a non-volatile memory, and may also include both volatile and non-volatile memory.
  • non-volatile memory can be Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (Erasable Programmable Read-Only Memory) , EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Magnetic Random Access Memory (FRAM), Flash Memory, Magnetic Surface Memory , CD-ROM, or CD-ROM (Compact Disc Read-Only Memory, CD-ROM); magnetic surface memory can be disk storage or tape storage.
  • the volatile memory may be a random access memory (Random Access Memory, RAM), which is used as an external cache.
  • RAM static random access memory
  • SRAM static random access memory
  • SSRAM synchronous static random access memory
  • dynamic random access memory dynamic random access memory.
  • Memory Dynanamic Random Access Memory, DRAM
  • Synchronous Dynamic Random Access Memory SDRAM
  • Double Data Rate Synchronous Dynamic Random Access Memory Double Data Rate, Synchronous Dynamic Access Memory, DDRSDRAM
  • enhanced -Type synchronous dynamic random access memory Enhanced Synchronous Dynamic Random Access Memory, ESDRAM
  • synchronous connection dynamic random access memory SyncLink Dynamic Random Access Memory, SLDRAM
  • direct memory bus random access memory Direct Rambus Random Access Memory, DRRAM
  • the memory 62 described in the embodiments of the present disclosure is intended to include, but is not limited to, these and any other suitable types of memory.
  • the methods disclosed in the foregoing embodiments of the present disclosure may be applied to the processor 61 or implemented by the processor 61.
  • the processor 61 may be an integrated circuit chip with signal processing capability. In the implementation process, the steps of the foregoing method can be completed by an integrated logic circuit of hardware in the processor 61 or instructions in the form of software.
  • the aforementioned processor 61 may be a general-purpose processor, a DSP, or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, and the like.
  • the processor 61 may implement or execute various methods, steps, and logical block diagrams disclosed in the embodiments of the present disclosure.
  • the general-purpose processor may be a microprocessor or any conventional processor or the like.
  • the steps of the method disclosed in the embodiments of the present disclosure may be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor.
  • the software module may be located in a storage medium, and the storage medium is located in the memory 62.
  • the processor 61 reads the information in the memory 62 and completes the steps of the foregoing method in combination with its hardware.
  • the device for processing resource configuration data may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, ASIC), DSP, Programmable Logic Device (Programmable Logic Device, PLD), and complex programmable logic. It is implemented by a device (Complex Programmable Logic Device, CPLD), FPGA, general-purpose processor, controller, MCU, microprocessor (Microprocessor), or other electronic components, and is used to execute the foregoing method.
  • ASIC Application Specific Integrated Circuit
  • DSP Programmable Logic Device
  • PLD Programmable Logic Device
  • complex programmable logic programmable logic
  • FPGA Field-programmable Logic Device
  • controller Microcontroller
  • MCU microprocessor
  • the embodiments of the present disclosure also record a computer storage medium in which computer-executable instructions are stored, and the computer-executable instructions are used to execute the resource configuration data applied to electronic devices in each of the foregoing embodiments.
  • the computer-executable instructions are used to execute the resource configuration data processing methods applied to the terminal in each of the foregoing embodiments. That is to say, after the computer-executable instructions are executed by the processor, the method for processing resource configuration data applied to an electronic device or applied to a terminal provided by any one of the foregoing technical solutions can be implemented.
  • the embodiment of the present disclosure also provides a computer program that enables a computer to execute the method for processing resource configuration data applied to an electronic device or applied to a terminal according to the embodiment of the present disclosure.
  • the disclosed device and method may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the units is only a logical function division, and there may be other divisions in actual implementation, such as: multiple units or components can be combined, or It can be integrated into another system, or some features can be ignored or not implemented.
  • the coupling, or direct coupling, or communication connection between the components shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms. of.
  • the units described above as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • the functional units in the embodiments of the present disclosure can be all integrated into one processing unit, or each unit can be individually used as a unit, or two or more units can be integrated into one unit;
  • the unit can be implemented in the form of hardware, or in the form of hardware plus software functional units.
  • the foregoing program can be stored in a computer readable storage medium.
  • the execution includes The steps of the foregoing method embodiment; and the foregoing storage medium includes: various media that can store program codes, such as a mobile storage device, ROM, RAM, magnetic disk, or optical disk.
  • the aforementioned integrated unit of the present disclosure is implemented in the form of a software function module and sold or used as an independent product, it may also be stored in a computer readable storage medium.
  • the computer software product is stored in a storage medium and includes several instructions for A computer device (which may be a personal computer, a server, or a network device, etc.) is allowed to execute all or part of the methods described in the various embodiments of the present application.
  • the aforementioned storage media include: removable storage devices, ROM, RAM, magnetic disks, or optical disks and other media that can store program codes.

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Abstract

一种资源配置数据的处理方法、装置及存储介质，其中，所述方法包括：获取目标场所的目标车型在预设时间范围内的热度及成交量(101)；基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果(102)；根据所述评价结果，调整所述资源配置数据(103)。

Description

资源配置数据的处理方法、装置及存储介质
相关申请的交叉引用
本公开基于申请号为201911205884.3、申请日为2019年11月29日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此以引入方式并入本公开。
技术领域
本公开涉及计算机视觉领域，具体涉及一种资源配置数据的处理方法、装置及存储介质。
背景技术
实际应用中，诸如车辆销售等场所，往往是通过人为整理成功成交的数据，以基于整理后的数据对当前的场所内的资源配置情况进行调整。然而，人为进行数据整理不仅耗时耗力，且基于数据整理结果，往往很难锁定影响成交量的核心因素，也就很难合理对有限的资源进行分配。因此，亟需一种资源配置数据的处理方法，以解决上述技术问题。
发明内容
本公开实施例期望提供一种资源配置数据的处理方法的技术方案。
第一方面，本公开实施例提供了一种资源配置数据的处理方法，所述方法包括：获取目标场所的目标车型在预设时间范围内的热度及成交量；基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果；根据所述评价结果，调整所述资源配置数据或输出所述评价结果对应的资源调整建议。
在一种可能的实现方式中，所述基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果，包括：根据所述热度与预设热度之间的大小关系，得到第一对比结果；根据所述成交量与预设成交量之间的大小关系，得到第二对比结果；基于所述第一对比结果和所述第二对比结果，确定所述评价结果。
在一种可能的实现方式中，所述预设时间范围包括第一预设时间范围和第二预设时间范围；所述基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果，包括：确定在所述第一预设时间范围内的所述热度，相对于在所述第二预设时间范围内的所述热度的第一变化趋势；确定在所述第一预设时间范围内的所述成交量，相对于在所述第二预设时间范围内的所述成交量的第二变化趋势；基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果。
在一种可能的实现方式中，所述评价结果包括至少两个等级；不同等级对应的待调整的资源配置数据的种类不同，和/或，不同等级对应的资源配置数据的调整方式不同。
在一种可能的实现方式中，所述基于所述第一对比结果和所述第二对比结果，确定所述评价结果，包括如下至少一项：在所述第一比对结果表示所述热度大于或等于所述 预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第一评价结果；在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量大于或等于所述预设成交量的情况下，确定所述评价结果为第二评价结果；在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第三评价结果。
在一种可能的实现方式中，所述基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果，包括如下至少一项：在所述第一变化趋势为上升趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第一评价结果；在所述第一变化趋势为下降趋势，且所述第二趋势为上升趋势的情况下，确定所述评价结果为第二评价结果；在所述第一变化趋势为下降趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第三评价结果。
在一种可能的实现方式中，所述根据所述评价结果，调整所述资源配置数据，包括如下至少一项：在所述评价结果包括所述第一评价结果的情况下，调整所述资源配置数据的内容，所述资源配置数据包括线上资源配置数据和/或线下资源配置数据；在所述评价结果包括所述第二评价结果的情况下，调整所述线下资源配置数据的内容；在所述评价结果包括所述第三评价结果的情况下，调整所述线上资源配置数据和所述线下资源配置数据的内容。
在一种可能的实现方式中，所述线下资源配置数据的内容至少包括所述目标车型的放置位置、售价、售后服务、资源配置数据推送方式中的至少一项；和/或，所述线上资源配置数据的内容至少包括所述目标车型相关信息的呈现位置、售价、售后服务、资源配置数据推送方式中的至少一项；和/或，所述资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的至少一项。
在一种可能的实现方式中，所述获取目标场所的目标车型在预设时间范围内的热度，包括：基于所述预设时间范围内到访的多个人物的视频图像，确定目标车型对应的总停留时长；基于所述目标车型对应的总停留时长，确定所述目标车型的热度。
在一种可能的实现方式中，所述基于所述预设时间范围内到访的多个人物的视频图像，确定目标车型对应的总停留时长，包括：基于多张所述视频图像中出现目标人物的位置信息和所述目标车型所处区域的位置信息，确定所述目标人物所在的车型区域；根据多张所述视频图像的采集时间和所述目标人物所在的车型区域，确定多张所述视频图像中所述目标人物在所述目标车型所处区域内的停留时长；根据多个所述目标人物在所述目标车型所处区域内的停留时长，确定所述目标车型对应的总停留时长。
在一种可能的实现方式中，所述方法应用于一种服务器，所述根据所述评价结果，输出所述评价结果对应的资源调整建议，包括：向终端发送所述评价结果对应的资源调整建议，以使所述终端通过显示界面展示至少部分所述资源调整建议。
在一种可能的实现方式中，所述方法应用于一种终端，所述根据所述评价结果，输出所述评价结果对应的资源调整建议，包括：通过所述终端的显示界面展示至少部分所述评价结果对应的资源调整建议。
第二方面，本公开实施例提供了一种资源配置数据的处理装置，所述装置包括：获取模块，配置为获取目标场所的目标车型在预设时间范围内的热度及成交量；评价模块，配置为基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果；执行模块，配置为根据所述评价结果，调整所述资源配置数据或输出所述评价结果对应的资源调整建议。
在一种可能的实现方式中，所述评价模块，配置为根据所述热度与预设热度之间的大小关系，得到第一对比结果；根据所述成交量与预设成交量之间的大小关系，得到第二对比结果；基于所述第一对比结果和所述第二对比结果，确定所述评价结果。
在一种可能的实现方式中，所述预设时间范围包括第一预设时间范围和第二预设时间范围；所述评价模块，配置为确定在所述第一预设时间范围内的所述热度，相对于在所述第二预设时间范围内的所述热度的第一变化趋势；确定在所述第一预设时间范围内的所述成交量，相对于在所述第二预设时间范围内的所述成交量的第二变化趋势；基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果。
在一种可能的实现方式中，所述评价结果包括至少两个等级；不同等级对应的待调整的资源配置数据的种类不同，和/或，不同等级对应的资源配置数据的调整方式不同。
在一种可能的实现方式中，所述评价模块，配置为基于所述第一对比结果和所述第二对比结果，确定所述评价结果，包括如下至少一项：在所述第一比对结果表示所述热度大于或等于所述预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第一评价结果；在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量大于或等于所述预设成交量的情况下，确定所述评价结果为第二评价结果；在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第三评价结果。
在一种可能的实现方式中，所述评价模块，配置为基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果，包括如下至少一项：在所述第一变化趋势为上升趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第一评价结果；在所述第一变化趋势为下降趋势，且所述第二趋势为上升趋势的情况下，确定所述评价结果为第二评价结果；在所述第一变化趋势为下降趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第三评价结果。
在一种可能的实现方式中，所述执行模块，配置为根据所述评价结果，调整所述资源配置数据，包括如下至少一项：在所述评价结果包括所述第一评价结果的情况下，调整所述资源配置数据的内容，所述资源配置数据包括线上资源配置数据和/或线下资源配置数据；在所述评价结果包括所述第二评价结果的情况下，调整所述线下资源配置数据的内容；在所述评价结果包括所述第三评价结果的情况下，调整所述线上资源配置数据和所述线下资源配置数据的内容。
在一种可能的实现方式中，所述线下资源配置数据的内容至少包括所述目标车型的放置位置、售价、售后服务、资源配置数据推送方式中的至少一项；和/或，所述线上资源配置数据的内容至少包括所述目标车型相关信息的呈现位置、售价、售后服务、资源配置数据推送方式中的至少一项；和/或，所述资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的至少一项。
在一种可能的实现方式中，所述获取模块，配置为基于所述预设时间范围内到访的多个人物的视频图像，确定目标车型对应的总停留时长；基于所述目标车型对应的总停留时长，确定所述目标车型的热度。
在一种可能的实现方式中，所述获取模块，配置为基于多张所述视频图像中出现目标人物的位置信息和所述目标车型所处区域的位置信息，确定所述目标人物所在的车型区域；根据多张所述视频图像的采集时间和所述目标人物所在的车型区域，确定多张所述视频图像中所述目标人物在所述目标车型所处区域内的停留时长；根据多个所述目标人物在所述目标车型所处区域内的停留时长，确定所述目标车型对应的总停留时长。
在一种可能的实现方式中，所述装置应用于一种服务器；所述执行模块，配置为向终端发送所述评价结果对应的资源调整建议，以使所述终端通过显示界面展示至少部分所述资源调整建议。
在一种可能的实现方式中，所述装置应用于一种终端；所述执行模块，配置为通过所述终端的显示界面展示至少部分所述评价结果对应的资源调整建议。
第三方面，本公开实施例提供了一种资源配置数据的处理装置，所述装置包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现本公开实施例所述的资源配置数据的处理方法的步骤。
第四方面，本公开实施例提供了一种计算机存储介质，所述计算机存储介质存储有计算机程序，所述计算机程序被处理器执行时，使得所述处理器执行本公开各实施例所述的资源配置数据的处理方法的步骤。
第五方面，本公开实施例还提供了一种计算机程序，所述计算机程序使得计算机执行本公开实施例所述的资源配置数据的处理方法。
本公开实施例提供的技术方案，获取目标场所的目标车型在预设时间范围内的热度及成交量；基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果；根据所述评价结果，调整所述资源配置数据或输出所述评价结果对应的资源调整建议。如此，能够节省数据整理所耗费的时间，即解决了因人为进行数据整理而造成的耗时耗力的问题。并且，由于成交量是直接能够反映成功成交的数据，且热度是对成交量带来较大影响的数据，因此，热度与成交量二者结合，能够有效反映目标车型的资源配置情况是否合理，使评价结果更具有针对性，即仅仅针对目标车型而言进行资源配置情况的分析。这样就可以基于获取到的数据得到目标车型的资源配置数据的评价结果，从而可以基于评价结果合理调整针对于目标车型的资源配置数据，即资源配置情况。也就意味着，本申请实施例能够更准确的掌握目标车型的热度及成交量的数据，而且能够给出目标车型的资源配置数据的评价结果，还能给出合理的资源配置数据的调整方案，有利于根据资源配置数据的评价结果和调整方案进行针对性的工作和服务，从而在基于数据整理结果，锁定影响成交量的核心因素的情况下，合理规划基于目标车型的资源分配情况，以进一步提高顾客体验和销售转换率。
附图说明
图1为本公开实施例提供的一种资源配置数据的处理方法的实现流程示意图；
图2为本公开实施例提供的另一种资源配置数据的处理方法的实现流程示意图；
图3为本公开实施例提供的车型热度展示界面示意图；
图4为本公开实施例提供的一种资源配置数据的处理装置的组成结构示意图；
图5为本公开实施例提供的另一种资源配置数据的处理装置的组成结构示意图；
图6为本公开实施例提供的资源配置数据的处理装置的硬件组成结构示意图。
具体实施方式
为了使本技术领域的人员更好地理解本公开实施例方案，下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚地描述，显然，所描述的实施例仅仅是本公开一部分的实施例，而不是全部的实施例。
本公开的说明书实施例和权利要求书及上述附图中的术语“第一”、“第二”、和“第三”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系 列步骤或单元。方法、***、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
本公开实施例提供一种资源配置数据的处理方法，本公开实施例可以应用于各种电子设备中，该电子设备包括但不限于固定设备和/或移动设备，例如，所述固定设备包括但不限于：个人电脑(PC，Personal Computer)、或者服务器等，所述服务器可以是云服务器或普通服务器。所述移动设备包括但不限于：手机、平板电脑或可穿戴式设备中的一项或是多项。如图1所示，所述方法主要包括以下步骤：
步骤101、获取目标场所的目标车型在预设时间范围内的热度及成交量；
步骤102、基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果；
步骤103、根据所述评价结果，调整所述资源配置数据或输出所述评价结果对应的资源调整建议。
在本公开实施例中，所述目标场所通常可以指的是能够展览车辆的区域，包括但不限于汽车销售服务4S店、或者购车商场等。
在本公开实施例中，所述预设时间范围可以包括以起始时间为开始、以终止时间为截至的一段时间，例如一天、一周、一月、一季度、半年、一年等，该预设时间范围可以基于实际需求确定，本公开实施例对预设时间范围的设置方式、具体取值等不做限定。需要说明的是，所述终止时间为当前时刻之前的时间。
在本公开实施例中，所述热度是指目标车型的受关注程度(或被关注程度)。示例性的，目标车型的热度可以采用目标车型对应的总停留时长表示，该总停留时长通过各目标人物在目标车型对应的车型区域内的停留时长的总和确定；或者用基于该总停留时长、进行的各种可行性变形来表示。其中，总停留时长越大，车型的热度越大；总停留时长越小，车型的热度越小。例如，假设预设时间范围为早上10：00-18：00的时间范围内，若目标车型1对应的车型区域内共停留20个目标人物，每个目标人物的停留时长为20分钟，则目标车型1对应的总停留时长为400分钟；目标车型2对应的车型区域内共停留10个目标人物，每个目标人物的停留时长为5分钟，则目标车型2对应的总停留时长为50分钟，则可表明目标车型1的热度大于目标车型2的热度。
在本公开实施例中，所述成交量是指一个时间单位内目标车型的车辆交易成交的数量，即预设时间范围内目标车型的车辆交易成交的数量，也即预设时间范围内目标车型车辆售出的数量。例如，一个月内A款汽车的成交量为80台，第一季度A款汽车的成交量为300台。
在本公开实施例中，所述资源配置数据可以是与销售目标车型活动有关的资源配置数据。在一些实施例中，所述资源配置数据可以是用于反映针对目标车型所采取的资源分配方案中各项资源对应的数据。例如，所述资源配置数据包括但不限于数量配置、时间配置、空间配置、人员配置、信息网络配置等中的一项或是多项的组合。其中，上述数量配置可以包括待销售的目标车型的数量。上述时间配置可以包括待销售的目标车型的时间，该时间可通过年份、季度、月份、日期、小时中的至少一种时间维度表示。上述空间配置可以包括待销售的目标车型在目标场所内的部署位置。上述人员配置可包括针对待销售的目标车型的人员的配置信息等等，例如可包括针对待销售的目标车型的销售人员的数量。上述信息网络配置可以包括针对待销售的目标车型的推荐信息的内容和/或目标场所中的推荐位或网络推荐位；其中，所述目标场所中的推荐位可以理解为目标场所中的实体广告推荐位，例如纸质版的广告推荐或者目标场所中的各电子屏的推荐等等；所述网络推荐位可以理解为网络平台的广告推荐位等等。
在本公开实施例中，所述评价结果可以用于反映当前资源配置数据已配置一段时间 后、给成交量带来的影响的大小的数据。示例性的，所述评价结果可包括资源配置数据已配置一段时间后、目标车型的成交量的变化。
在一些实施例中，所述调整所述资源配置数据，包括：对资源配置数据在数量、时间、空间范围内进行匹配、流动和重组。
在一些实施例中，所述输出所述评价结果对应的资源调整建议，包括：输出针对资源配置数据在数量、时间、空间范围内进行匹配、流动和重组的资源调整建议。
本公开实施例提供的技术方案，获取目标场所的目标车型在预设时间范围内的热度及成交量；基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果；根据所述评价结果，调整所述资源配置数据或输出所述评价结果对应的资源调整建议；如此，能够节省数据整理所耗费的时间，即解决了因人为进行数据整理而造成的耗时耗力的问题。并且，由于成交量是直接能够反映成功成交的数据，且热度是对成交量带来较大影响的数据，因此，热度与成交量二者结合，能够有效反映目标车型的资源配置情况是否合理，使评价结果更具有针对性，即仅仅针对目标车型而言进行资源配置情况的分析。这样就可以基于获取到的数据得到目标车型的资源配置数据的评价结果，从而可以基于评价结果合理调整针对于目标车型的资源配置数据，即资源配置情况。也就意味着，本公开实施例能够更准确的掌握目标车型的热度及成交量的数据，而且能够给出目标车型的资源配置数据的评价结果，还能给出合理的资源配置数据的资源调整建议，有利于根据资源配置数据的评价结果和调整方案进行针对性的工作和服务，从而在基于数据整理结果，锁定影响成交量的核心因素的情况下，合理规划基于目标车型的资源分配情况，以进一步提高顾客体验和销售转换率。
考虑到目标场所内通常部署着多个图像采集装置，因此，可以借助图像采集装置采集到的视频图像，掌握目标场所的目标车型在预设时间范围内的热度及成交量。因此，在一些实施例中，所述步骤101可包括：
步骤1011、基于所述预设时间范围内到访的多个人物的视频图像，确定目标车型对应的总停留时长；
步骤1012、基于所述目标车型对应的总停留时长，确定所述目标车型的热度。
在一种可能的实现方式中，步骤1011，包括：
步骤1011a：基于多张所述视频图像中出现目标人物的位置信息和所述目标车型所处区域的位置信息，确定所述目标人物所在的车型区域；
步骤1011b：根据多张所述视频图像的采集时间和所述目标人物所在的车型区域，确定多张所述视频图像中所述目标人物在所述目标车型所处区域内的停留时长；
步骤1011c：根据多个所述目标人物在所述目标车型所处区域内的停留时长，确定所述目标车型对应的总停留时长。
可以理解，所述目标人物可以包括除被列为白名单以外的人。
其中，所述白名单可以包括对成交量影响较小甚至不存在影响的人，通常属于白名单的人往往不包括到访目标场所的顾客。比如，白名单可以包括下述至少之一：4S店的员工、保洁人员、维修师傅、快递人员、外卖人员等等。需要说明的是，所述白名单中的人员可根据目标场所的管理人员的需求进行设定或调整。
在一种可选实施例中，对图像采集装置的视频图像进行识别时，先判断当前被识别对象是否属于白名单，如果属于白名单，则忽略所述当前被识别对象；如果不属于白名单，判定当前被识别对象为目标人物，并对该目标人物分别在多个车型所处区域的停留时长进行记录、分析。
本实施例中，所述车型所处区域大于或等于该车型车辆的车身所占区域，所述车型所处区域可由***自动确定，或者通过工作人员采用人工的方式确定。实际应用中，每 个车型所处区域都可有独立的编号等标识，将各标识与车型所处的区域进行关联；每个车型可对应多个区域。
需要说明的是，在一种实施方式中，车型和区域的对应关系，可基于用户手动设置而确定。在另一种实施方式中，车型和区域的对应关系，也可基于***自动设置而确定，比如***可基于车身的形状自动确定对应的车型，确定车型对应的标识，在基于该车辆所在的区域将该区域与车型对应的标识关联。
在一些实施例中，每个车型对应一个区域。示例性地，哈弗H6车型汽车在区域1展示，哈弗H7车型汽车在区域2展示，哈弗M6车型汽车在区域3展示，哈弗F7车型汽车在区域4展示。
在另一些实施例中，相同车型可对应一个或多个区域。示例性地，哈弗H6车型汽车在区域1和区域2展示，哈弗H7车型汽车在区域3和区域4展示，哈弗M6车型汽车在区域5展示，哈弗F7车型汽车在区域6展示。
在一些实施例中，车型和区域的关系可以预先确定。比如，可由目标场所的管理人员设置车型和区域的关系，或者基于车辆位置确定车型和区域的关系。
在一些实施方式中，确定单个所述目标人物在所述目标车型所处区域内的停留时长，包括：响应于所述目标人物的相邻出现在所述目标车型所处区域且所述相邻出现所对应的时间差小于或等于预设时间阈值，将所述相邻出现所对应的时间差计入所述目标人物在所述目标车型所处区域的停留时长。
在另一些实施方式中，确定单个所述目标人物在所述目标车型所处区域内的停留时长，包括：响应于所述目标人物的相邻出现在所述目标车型所处区域所对应的时间差大于预设时间阈值，确定不将所述相邻出现所对应的时间差计入所述目标人物在所述对应的车型区域的停留时长。
需要说明的是，所述预设时间阈值可根据实际情况或数据维护人员需求进行设定或调整。
例如，假设预设时间阈值为5分钟(min)，负责采集图像和图像识别处理的前端服务器每隔1分钟向负责关注车型分析的后台服务器发送一次报文，该报文中含有各个目标人物的时间信息和位置信息；后台服务器接收到了关于目标人物D的到访信息的报文，具体包括目标人物D在9：00出现在第1车型区域；在第7分钟时，后台服务器接收到了关于目标人物D的到访信息，具体包括目标人物D在9：07出现在第1车型区域；而在9：00至9：07中的各时间点，后台服务器均没有接收到关于目标人物D的报文，则后台服务器判定目标人物D实际上只是被抓拍到，不记录目标人物D的停留时长。
又例如，假设在第1分钟时，后台服务器接收到了关于目标人物B的到访信息，具体包括目标人物B在9：01出现在第1车型区域；在第2分钟时，后台服务器接收到了关于目标人物B的到访信息，具体包括目标人物B在9：02出现在第2车型区域，在第3分钟、4分钟、5分钟，6分钟、7分钟，后台服务器均没有接收到关于目标人物B的报文，则后台服务器判定目标人物B实际上已经离开，不记录目标人物B的停留时长。
再例如，假设在第1分钟时，后台服务器接收到了关于目标人物C的到访信息，具体包括目标人物C在9：01出现在第1车型区域；在第2分钟时，后台服务器接收到了关于目标人物C的到访信息，具体包括目标人物C在9：02出现在第2车型区域，在第3分钟、4分钟、5分钟，6分钟、7分钟，后台服务器均没有接收到关于目标人物C的报文，那么，则后台服务器判定目标人物C在第一车型区域的停留时间为1分钟。
如此，通过设定预设时间阈值来确定每个目标人物对车型区域的停留时长，从而为 确定目标人物的关注车型提供更为合理的、更为精确的数据基础。
为了便于统计停留时长，在一些实施例中，为每个车型区域配置独立的累加器；以设定时间段为单位，通过所述累加器对所述车型区域出现的目标人物的停留时长进行累加，得到所述设定时间段内所述车型区域的累计停留时长；将所述设定时间范围内的至少一个所述设定时间段的所述车型区域的累计停留时长进行累加，得到所述车型区域的总停留时长。进一步地，响应于所述设定时间段超时，对所述累加器进行重置。
需要说明的是，所述设定时间段可根据数据维护人员需求进行设定或调整。
为了保证数据的实时性，以设定时间段为一天为例，每天的每一个车型都有一个单独的累加器，一天结束时存储该累加器所累加得到的数值，然后对该累加器重置，以便于统计下一天的目标人物停留时长。
示例性地，预设时间范围包括3个设定时间段，第1车型区域在第1个设定时间段的累计停留时长为t1，第1车型区域在第2个设定时间段的累计停留时长为t2，第1车型区域在第3个设定时间段的累计停留时长为t3，那么，在该预设时间范围内，第1车型区域的累计总停留时长为t1+t2+t3。
为了更好地实现对单个目标人物的服务，在一些实施例中，所述方法还包括：基于每个目标人物对于多个目标车型的停留时长信息，确定所述每个目标人物的关注车型。例如，某个目标人物在目标车型1的停留时长为20分钟，在目标车型1的停留时长为5分钟，则可表明该目标人物比较关注目标车型1。
如此，确定单个目标人物的关注车型，在目标人物下次到访时，便于销售人员对目标人物进行针对***，从而提高目标人物体验和销售转换率。
在一些实施例中，所述步骤101可包括：从本地或第一设备获取目标车型在预设时间范围内的成交量。
这里，所述第一设备是能够与所述电子设备连接的设备。本公开实施例中，并不对所述第一设备与所述电子设备的连接方式进行限定，该连接方式可以是有线连接，还可以是无线连接。
如此，能为后续确定目标车型的资源配置数据的评价结果提供更为精确的数据基础。
在一些实施例中，步骤102包括：
步骤1021：根据所述热度与预设热度之间的大小关系，得到第一对比结果；
步骤1022：根据所述成交量与预设成交量之间的大小关系，得到第二对比结果；
步骤1023：基于所述第一对比结果和所述第二对比结果，确定所述评价结果。
在本公开实施例中，所述预设热度可以是指期望达到的热度，所述预设成交量可以是指期望达到的成交量。预设热度和/或预设成交量，可以根据针对目标车型投入的时间、人力成本等，和/或商业需求，预先进行设置，在此对于设置方式等不予限定。
在本公开实施例中，所述第一比对结果表示热度和预设热度的大小的对比结果。例如，所述第一对比结果包括：热度大于或等于预设热度；或者，热度小于预设热度。可以理解，第一比对结果表征目标车型对应的当前热度是否满足预设热度(即是否满足预期)。
在本公开实施例中，所述第二比对结果表示成交量和预设成交量的大小的对比结果。例如，所述第二对比结果包括：成交量大于或等于预设成交量；或者，成交量小于预设成交量。可以理解，第二比对结果表征目标车型对应的成交量是否满足预设成交量(即交易销售的情况是否满足预期)。
在一种可能的实现方式中，基于所述第一对比结果和所述第二对比结果，确定所述评价结果，包括如下至少一项：在所述第一比对结果表示所述热度大于或等于所述预设 热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第一评价结果；在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量大于或等于所述预设成交量的情况下，确定所述评价结果为第二评价结果；在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第三评价结果。
本实施例中，所述评价结果包括至少两个等级，不同等级对应的待调整的资源配置数据的种类不同，和/或，不同等级对应的资源配置数据的调整方式不同。
可以理解，第一评价结果、第二评价结果和第三评价结果，是不同的评价结果，即不同等级的评价结果。
如此，能够给出关于目标车型的资源配置数据的评价结果，有助于后续根据该评价结果给出针对目标车型的资源配置数据的调整方案，从而有助于工作人员根据调整方案进行针对性工作和服务，从而提高顾客体验和销售转换率。
在一些实施方式中，根据所述评价结果，调整所述资源配置数据，包括如下至少一项：在所述评价结果包括所述第一评价结果的情况下，调整所述资源配置数据的内容，所述资源配置数据包括线上资源配置数据和/或线下资源配置数据；在所述评价结果包括所述第二评价结果的情况下，调整所述线下资源配置数据的内容；在所述评价结果包括所述第三评价结果的情况下，调整所述线上资源配置数据和所述线下资源配置数据的内容。
在一些实施方式中，根据所述评价结果，输出所述评价结果对应的资源调整建议，可包括如下至少一项：在所述评价结果包括所述第一评价结果的情况下，输出第一资源调整建议，所述第一资源调整建议中包括对所述资源配置数据包括的线上资源配置数据和/或线下资源配置数据进行调整；在所述评价结果包括所述第二评价结果的情况下，输出第二资源调整建议，所述第二资源调整建议包括对所述资源配置数据包括的线下资源配置数据的内容进行调整；在所述评价结果包括所述第三评价结果的情况下，输出第三资源调整建议，所述第三资源调整建议包括对所述资源配置数据包括的所述线上资源配置数据和所述线下资源配置数据的内容进行调整。
在本公开实施例中，“线上”可以是指基于电子商务网站的商品或服务的在线交易的一种商务模式。例如，线上资源配置数据至少包括如下的一项或是多项的组合：网页中产品呈现位置、呈现时间、广告推送的内容、电视广播等内容等等，当然也可以包括多于或是少于上述例举情况的内容，在此对于线上资源配置数据的具体内容不予限定，结合不同的场景、需求，可以选取相同或是不同的线上资源配置数据。
在本公开实施例中，“线下”可以是指基于实体店的商品或服务的实际体验的一种商务模式。例如，线下资源配置数据至少包括如下的一项或是多项的组合：实体店中广告牌的摆放位置、实体店中产品放置位置、实体店中显示屏显示对象的频次和时间等内容，当然也可以包括多于或是少于上述例举情况的内容，在此对于线下资源配置数据的具体内容不予限定，结合不同的场景、需求，可以选取相同或是不同的线下资源配置数据。
如此，能够有助于根据资源配置数据的调整方案，来指导调整目标车型的资源配置，从而有助于工作人员根据调整方案进行针对性工作和服务，从而提高顾客体验和销售转换率。
在一种实现方式中，所述线下资源配置数据的内容可以至少包括所述目标车型的放置位置、售价、售后服务、资源配置数据推送方式中的至少一项。所述线上资源配置数据的内容可以至少包括所述目标车型相关信息的呈现位置、售价、售后服务、资源配置 数据推送方式中的至少一项。
其中，上述资源配置数据推送方式可以至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的至少一项。
示例性地，若预设时间范围内的热度大于或等于预设热度，且成交量小于预设成交量(即上述第一评价结果)的情况下，调整线上资源配置数据和/或线下资源配置数据。例如，调整线上资源配置的内容包括：降低目标车型的售价、延长保修期、增加辅助性赠品、加大返现力度、增大消息推送频率等等。又例如，调整线下资源配置的内容包括：将目标车型的摆放位置与热度低的车型的摆放位置对调、降低目标车型的售价、延长保修期、加大赠品力度、增大消息推送频率等等。
在上述第一评价结果的情况下，输出第一资源调整建议，所述第一资源调整建议中包括对线上资源配置数据和/或线下资源配置数据进行调整。例如，第一资源调整建议中包括的对线上资源配置数据的调整建议可包括：降低目标车型的售价、延长保修期、增加辅助性赠品、加大返现力度、增大消息推送频率等等。又例如，第一资源调整建议中包括的对线下资源配置数据的调整建议可包括：将目标车型的摆放位置与热度低的车型的摆放位置对调、降低目标车型的售价、延长保修期、加大赠品力度、增大消息推送频率等等。
示例性地，若预设时间范围内的热度小于预设热度，且成交量大于或等于预设成交量(即上述第二评价结果)的情况下，调整线下资源配置数据的内容。例如，调整目标车型的摆放位置等等，可以将目标车型的摆放位置与热度高的车型的摆放位置对调，增大消息推送频率。
在上述第二评价结果的情况下，输出第二资源调整建议，所述第二资源调整建议中包括对线下资源配置数据的内容进行调整。例如，第二资源调整建议中包括的对线下资源配置数据的调整建议可包括：调整目标车型的摆放位置等等。
示例性地，若预设时间范围内的热度小于预设热度，且成交量小于预设成交量(即上述第三评价结果)的情况下，调整线上资源配置数据和线下资源配置数据。例如，调整线上资源配置的内容包括：降低目标车型的售价、延长保修期、增加辅助性赠品、加大返现力度、增大消息推送频率等等。又例如，调整线下资源配置数据的内容包括：调整目标车型的摆放位置，可以将目标车型从当前摆放位置变更到更好的摆放位置，增大消息推送频率。
在上述第三评价结果的情况下，输出第三资源调整建议，所述第三资源调整建议中包括对线上资源配置数据和线下资源配置数据进行调整。例如，第三资源调整建议中包括的对线上资源配置数据的调整建议可包括：降低目标车型的售价、延长保修期、增加辅助性赠品、加大返现力度、增大消息推送频率等等。又例如，第三资源调整建议中包括的对线下资源配置数据的调整建议可包括：调整目标车型的摆放位置。
可以理解，基于所述第一对比结果和所述第二对比结果，确定所述评价结果，还包括：在所述第一比对结果表示所述热度大于或等于所述预设热度，且所述第二比对结果表示所述成交量大于或等于所述预设成交量的情况下，确定所述评价结果为第四评价结果。进一步地，根据所述评价结果，调整所述资源配置数据，还包括：在所述评价结果为所述第四评价结果的情况下，考虑到目标车型的热度与成交量都已达到预期的状况，因此，可以不执行对所述资源配置数据的调整。相应的，根据所述评价结果，输出所述评价结果对应的资源调整建议，可包括：在所述评价结果为所述第四评价结果的情况下，考虑到目标车型的热度与成交量都已达到预期的状况，因此，所述资源调整建议中可不包括任何调整建议。
如此，能够在工作人员提供针对性工作和服务的情况下，节省调整资源配置数据所 耗费的人力物力，从而在保障顾客体验和销售转换率的情况下，节省数据配置资源及维护资源。
在一种可能的实现方式中，所述预设时间范围包括第一预设时间范围和第二预设时间范围；则所述步骤102，包括：确定在所述第一预设时间范围内的所述热度，相对于在所述第二预设时间范围内的所述热度的第一变化趋势；确定在所述第一预设时间范围内的所述成交量，相对于在所述第二预设时间范围内的所述成交量的第二变化趋势；基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果。
在本公开实施例中，所述第一预设时间范围是所述预设时间范围的一部分；所述第二预设时间范围是所述预设时间范围的一部分。其中，所述第一预设时间范围和所述第二预设时间范围的并集，小于或等于所述预设时间范围。其中，第二预设时间范围的开始点，晚于第一预设时间范围的开始点。
在一些示例中，所述第一预设时间范围和所述第二预设时间范围可以有重合部分。示例性地，所述预设时间范围可以为1月1日至30日，所述第一预设时间范围可以为1月1日至20日，所述第二预设时间范围为1月11日至30日。
在一些示例中，所述第一预设时间范围和所述第二预设时间范围可以无缝衔接，即第一预设时间范围和所述第二预设时间范围是连续的。示例性地，所述预设时间范围可以为1月1日至30日，所述第一预设时间范围可以为1月1日至15日，所述第二预设时间范围可以为1月16日至30日。
在一些示例中，所述第一预设时间范围和所述第二预设时间范围可以是不连续的。示例性地，所述预设时间范围可以为1月1日至30日，所述第一预设时间范围可以为1月1日至10日，所述第二预设时间范围可以为1月20日至30日。
在本公开实施例中，所述第一变化趋势表示第一预设时间范围内的热度相对于第二预设时间范围内的热度的变化。例如，所述第一变化趋势包括：上升趋势；或者，下降趋势；又或者，相对变化较为平稳，或是不存在变化，即无变化趋势。
在本公开实施例中，所述第二变化趋势表示第一预设时间范围内的成交量相对于第二预设时间范围内的成交量的变化。例如，所述第二变化趋势包括：上升趋势；或者，下降趋势；又或者，相对变化较为平稳，或是不存在变化，即无变化趋势。
在一些可选实施例中，所述评价结果包括至少两个等级，不同等级对应的待调整的资源配置数据的种类不同，和/或，不同等级对应的资源配置数据的调整方式不同。
考虑到变化趋势能够更有效的反映在调整资源配置数据的情况下，所带来的阶段性或是一段时间内的对成交量的影响，因此，在一种实现方式中，可以基于变化趋势来确定当前资源配置数据的评价结果。即在一些实施方式中，基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果，包括如下至少一项：在所述第一变化趋势为上升趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第一评价结果；在所述第一变化趋势为下降趋势，且所述第二趋势为上升趋势的情况下，确定所述评价结果为第二评价结果；在所述第一变化趋势为下降趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第三评价结果。
在一些实施方式中，根据所述评价结果，调整所述资源配置数据，包括如下至少一项：在所述评价结果包括所述第一评价结果的情况下，调整所述资源配置数据的内容，所述资源配置数据包括线上资源配置数据和/或线下资源配置数据；在所述评价结果包括所述第二评价结果的情况下，调整所述线下资源配置数据的内容；在所述评价结果包括所述第三评价结果的情况下，调整所述线上资源配置数据和所述线下资源配置数据的内容。
在一些实施方式中，根据所述评价结果，输出所述评价结果对应的资源调整建议， 可包括如下至少一项：在所述评价结果包括所述第一评价结果的情况下，输出第一资源调整建议，所述第一资源调整建议中包括对所述资源配置数据包括的线上资源配置数据和/或线下资源配置数据进行调整；在所述评价结果包括所述第二评价结果的情况下，输出第二资源调整建议，所述第二资源调整建议包括对所述资源配置数据包括的线下资源配置数据的内容进行调整；在所述评价结果包括所述第三评价结果的情况下，输出第三资源调整建议，所述第三资源调整建议包括对所述资源配置数据包括的所述线上资源配置数据和所述线下资源配置数据的内容进行调整。
如此，能够有助于根据资源配置数据的调整方案，来指导调整目标车型的资源配置，从而有助于工作人员根据调整方案进行针对性工作和服务，从而提高顾客体验和销售转换率。
在一种可能的实现方式中，所述线下资源配置数据的内容可以至少包括所述目标车型的放置位置、售价、售后服务、资源配置数据推送方式中的至少一项；所述线上资源配置数据的内容可以至少包括所述目标车型相关信息的呈现位置、售价、售后服务、资源配置数据推送方式中的至少一项。
其中，所述资源配置数据推送方式可以至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的至少一项。
示例性地，若第一预设时间范围内的热度相对于在第二预设时间范围内的热度呈上升趋势，且第一预设时间范围内的成交量相对于在第二预设时间范围内的热度呈下降趋势(即上述第一评价结果)的情况下，调整线上资源配置数据和/或线下资源配置数据。例如，调整线上资源配置的内容包括：降低目标车型的售价、延长保修期、增加辅助性赠品、加大返现力度、增大消息推送频率等等。又例如，调整线下资源配置的内容包括：将目标车型的摆放位置与热度低的车型的摆放位置对调、降低目标车型的售价、延长保修期、加大赠品力度、增大消息推送频率等等。
在上述第一评价结果的情况下，输出第一资源调整建议，所述第一资源调整建议中包括对线上资源配置数据和/或线下资源配置数据进行调整。例如，第一资源调整建议中包括的对线上资源配置数据的调整建议可包括：降低目标车型的售价、延长保修期、增加辅助性赠品、加大返现力度、增大消息推送频率等等。又例如，第一资源调整建议中包括的对线下资源配置数据的调整建议可包括：将目标车型的摆放位置与热度低的车型的摆放位置对调、降低目标车型的售价、延长保修期、加大赠品力度、增大消息推送频率等等。
示例性地，若第一预设时间范围内的热度相对于在第二预设时间范围内的热度呈下降趋势，且第一预设时间范围内的成交量相对于在第二预设时间范围内的热度呈上升趋势(即上述第二评价结果)的情况下，调整线下资源配置数据的内容。例如，调整目标车型的摆放位置等等，可以将目标车型的摆放位置与热度高的车型的摆放位置对调，增大消息推送频率。
在上述第二评价结果的情况下，输出第二资源调整建议，所述第二资源调整建议中包括对线下资源配置数据的内容进行调整。例如，第二资源调整建议中包括的对线下资源配置数据的调整建议可包括：调整目标车型的摆放位置等等。
示例性地，若第一预设时间范围内的热度相对于在第二预设时间范围内的热度呈下降趋势，且第一预设时间范围内的成交量相对于在第二预设时间范围内的热度呈下降趋势(即上述第三评价结果)的情况下，调整线上资源配置数据和线下资源配置数据。例如，调整线上资源配置的内容包括：降低目标车型的售价、延长保修期、增加辅助性赠品、加大返现力度、增大消息推送频率等等。又例如，调整线下资源配置数据的内容包括：调整目标车型的摆放位置，可以将目标车型从当前摆放位置变更到更好的摆放位置， 增大消息推送频率。
在上述第三评价结果的情况下，输出第三资源调整建议，所述第三资源调整建议中包括对线上资源配置数据和线下资源配置数据进行调整。例如，第三资源调整建议中包括的对线上资源配置数据的调整建议可包括：降低目标车型的售价、延长保修期、增加辅助性赠品、加大返现力度、增大消息推送频率等等。又例如，第三资源调整建议中包括的对线下资源配置数据的调整建议可包括：调整目标车型的摆放位置。
可以理解，基于所述第一对比结果和所述第二对比结果，确定所述评价结果，还包括：在所述第一变化趋势为上升趋势，且所述第二趋势为上升趋势的情况下，确定所述评价结果为第四评价结果。进一步地，根据所述评价结果，调整所述资源配置数据，还包括：在所述评价结果为所述第四评价结果的情况下，考虑到目标车型的热度与成交量都已达到预期的状况，因此，可以不执行对所述资源配置数据的调整。相应的，根据所述评价结果，输出所述评价结果对应的资源调整建议，可包括：在所述评价结果为所述第四评价结果的情况下，考虑到目标车型的热度与成交量都已达到预期的状况，因此，所述资源调整建议中可不包括任何调整建议。
如此，能够在工作人员提供针对性工作和服务的情况下，节省调整资源配置数据所耗费的人力物力，从而在保障顾客体验和销售转换率的情况下，节省数据配置资源及维护资源。
为了方便目标场所的工作人员基于实际场景需求，自主选择预设时间范围，从而得到更具有针对性的评价结果及相应的调整方案。因此，在一种实现方式中，工作人员可以通过终端输入查询条件，以锁定需要得出评价结果及相应调整方案的预设时间范围。即在一些实施例中，在所述方法应用于一种服务器的情况下，所述方法还包括：接收终端发送的查询条件，所述查询条件至少包括所述预设时间范围；响应于所述查询条件，获取目标场所的目标车型在预设时间范围内的热度及成交量；基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果；根据所述评价结果，调整所述资源配置数据。
如此，可为终端提供查询服务，能为终端提供某一时间范围内车型的评价结果和资源配置数据的调整方案，便于工作人员根据车型的评价结果和资源配置数据的调整方案制定工作计划，以提升顾客体验和销售转化率。
本公开实施例提供的技术方案，获取目标场所的目标车型在预设时间范围内的热度及成交量；基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果；根据所述评价结果，调整所述资源配置数据或输出所述评价结果对应的资源调整建议；如此，能够更准确的掌握目标车型的热度及成交量的数据，而且能够给出目标车型的资源配置数据的评价结果，还能给出合理的资源配置数据的调整方案，有利于根据资源配置数据的评价结果和调整方案进行针对性的工作和服务，从而在基于数据整理结果，锁定影响成交量的核心因素的情况下，合理规划基于目标车型的资源分配情况，以进一步提高顾客体验和销售转换率。
在一些实施例中，上述方法可以应用于一种服务器，其中，服务器可以为云端服务器和/或前端服务器，例如，上述方法由前端服务器(例如视频一体机)和云端服务器实现，其中，前端服务器对采集图像进行人脸和人体跟踪，得到人脸和人体跟踪结果，并基于人脸和/或人体图像的质量确定基于哪种图像信息进行行人识别，再向云端服务器发送确定的图像信息；云端服务器在接收到前端服务器发送的图像信息之后，基于接收到的图像信息查询对应的数据库，得到行人识别结果，并向终端发送相应的各种处理结果。
基于此，在一些可选实施例中，所述根据所述评价结果，输出所述评价结果对应的资源调整建议，包括：向终端发送所述评价结果对应的资源调整建议，以使所述终端通 过显示界面展示至少部分所述资源调整建议。
本实施例中，服务器可将目标车型的热度和车型的成交量等信息，以及车型的资源配置数据的评价结果、评价结果对应的调整方案等信息发送至终端，以通过终端显示上述信息，便于相关工作人员可快速的看到当前目标车型的热度和车型的成交量等信息，以及车型的资源配置数据的评价结果、评价结果对应的调整方案，便于相关工作人员可对目标车型的相关的资源配置数据进行快速调整。
在一些实施例中，所述方法应用于一种终端，所述根据所述评价结果，输出所述评价结果对应的资源调整建议，包括：通过所述终端的显示界面展示至少部分所述评价结果对应的资源调整建议。
本实施例中，终端可将目标车型的热度和车型的成交量等信息，以及车型的资源配置数据的评价结果、评价结果对应的调整方案等信息通过显示界面进行至少部分信息的展示，以通过终端对上述信息的展示，便于相关工作人员可快速的看到当前目标车型的热度和车型的成交量等信息，以及车型的资源配置数据的评价结果、评价结果对应的调整方案，便于相关工作人员可对目标车型的相关的资源配置数据进行快速调整。
本公开实施例提供了一种资源配置数据的处理方法，应用于终端，该终端包括但不限于固定终端和/或移动终端，例如，所述固定终端包括但不限于PC、或者电视等；所述移动终端包括但不限于手机、或平板电脑、或可穿戴式设备等。如图2所示，所述方法包括以下步骤。
步骤201、接收对目标车型的资源配置数据的评价结果；其中，所述评价结果是基于目标场所的目标车型在预设时间范围内的热度及成交量得到的。
步骤202、显示所述评价结果。
如此，能够为终端提供目标车型的资源配置数据的评价结果，有利于工作人员根据车型的评价结果进行针对性工作和服务，从而提高顾客体验和销售转换率。
在一些实施例中，所述方法还包括：接收所述评价结果对应的资源调整建议，显示所述资源调整建议。
如此，能够为终端提供目标车型的资源配置数据的调整结果，有利于工作人员根据车型的调整结果进行针对性工作和服务，从而提高顾客体验和销售转换率。
在一些实施例中，所述方法还包括：接收查询条件，所述查询条件至少包括所述预设时间范围；将所述查询条件发送至电子设备。
如此，能够为终端提供与查询条件相适应的目标车型的资源配置数据的评价结果和调整结果，有利于工作人员根据车型的评价结果和调整结果进行针对性工作和服务，从而提高顾客体验和销售转换率。
图3示出了一种车型热度展示界面，如图3所示，在展示界面上展示有门店车型热度排行，当然，在展示界面上还可以展示其他数据。
其中，同一车型的停留时长的计算方式包括：计算所有目标人物在预设时间段内在各个车型区域的驻留时长，同一车型区域驻留时长进行累加。
为了保证数据的实时性，采取数据流处理的实现方式，每天的每一个车型都有一个单独的停留时间累加器，一天结束时将该累加器落盘。
实际应用中，终端上接收时间范围为历史某一天D1的查询条件，服务器基于该查询条件从数据库中筛选出D1上每个车型的停留时长，排序后得到车型热度排行。
实际应用中，终端上接收时间范围为当天D-Current的查询条件，服务器基于该查询条件从累加器中筛选出D-Current上每个车型的停留时长，排序后得到车型热度排行；
实际应用中，终端上接收时间范围为D1～D2时间段的查询条件，服务器基于该查询条件从数据库或累加器中筛选出D1～D2每一天每个车型的停留时长，将其按车型分 组累加得到每个车型的总停留时长，排序后得到车型热度排行。
通过展示界面，可供4S店销售和门店探知到门店目标人物对各个车型的关注度热度，结合门店车型推广需要和营销策略，对4S店内车型的摆放及营销活动效果反馈提供数据支撑；尤其对区域公司、经销商和主机厂来说，可以足不出户远程获知到各个门店目标人物群体对各个车型的关注度强弱，以支撑运营决策和对销售/门店的工作效果评价。
应理解，图3所示的展示界面为一种可选的展示方式，但不限于此。
还应理解，图3示的展示界面仅仅是为了示例本公开实施例，本领域技术人员可以基于图3的示例进行各种显而易见的变化和/或替换，得到的技术方案仍属于本公开实施例的公开范围。
对应上述应用于电子设备的资源配置数据的处理方法，本公开实施例提供了一种资源配置数据的处理装置，如图4所示，所述装置包括：获取模块10，配置为获取目标场所的目标车型在预设时间范围内的热度及成交量；评价模块20，配置为基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果；执行模块30，配置为根据所述评价结果，调整所述资源配置数据或输出所述评价结果对应的资源调整建议。
作为一种实施方式，所述评价模块20，配置为：根据所述热度与预设热度之间的大小关系，得到第一对比结果；根据所述成交量与预设成交量之间的大小关系，得到第二对比结果；基于所述第一对比结果和所述第二对比结果，确定所述评价结果。
作为一种实施方式，所述预设时间范围包括第一预设时间范围和第二预设时间范围；所述评价模块20，配置为：确定在所述第一预设时间范围内的所述热度，相对于在所述第二预设时间范围内的所述热度的第一变化趋势；确定在所述第一预设时间范围内的所述成交量，相对于在所述第二预设时间范围内的所述成交量的第二变化趋势；基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果。
作为一种实施方式，所述评价结果包括至少两个等级；不同等级对应的待调整的资源配置数据的种类不同，和/或，不同等级对应的资源配置数据的调整方式不同。
作为一种实施方式，所述评价模块20，配置为基于所述第一对比结果和所述第二对比结果，确定所述评价结果，包括如下至少一项：在所述第一比对结果表示所述热度大于或等于所述预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第一评价结果；在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量大于或等于所述预设成交量的情况下，确定所述评价结果为第二评价结果；在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第三评价结果。
作为一种实施方式，所述评价模块20，配置为基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果，包括如下至少一项：在所述第一变化趋势为上升趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第一评价结果；在所述第一变化趋势为下降趋势，且所述第二趋势为上升趋势的情况下，确定所述评价结果为第二评价结果；在所述第一变化趋势为下降趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第三评价结果。
作为一种实施方式，所述执行模块30，配置为根据所述评价结果，调整所述资源配置数据，包括如下至少一项：在所述评价结果包括所述第一评价结果的情况下，调整所述资源配置数据的内容，所述资源配置数据包括线上资源配置数据和/或线下资源配置数据；在所述评价结果包括所述第二评价结果的情况下，调整所述线下资源配置数据的内 容；在所述评价结果包括所述第三评价结果的情况下，调整所述线上资源配置数据和所述线下资源配置数据的内容。
作为一种实施方式，所述线下资源配置数据的内容至少包括所述目标车型的放置位置、售价、售后服务、资源配置数据推送方式中的至少一项；和/或，所述线上资源配置数据的内容至少包括所述目标车型相关信息的呈现位置、售价、售后服务、资源配置数据推送方式中的至少一项；和/或，所述资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的至少一项。
作为一种实施方式，所述获取模块10，配置为基于所述预设时间范围内到访的多个人物的视频图像，确定目标车型对应的总停留时长；基于所述目标车型对应的总停留时长，确定所述目标车型的热度。
作为一种实施方式，所述获取模块10，配置为基于多张所述视频图像中出现目标人物的位置信息和所述目标车型所处区域的位置信息，确定所述目标人物所在的车型区域；根据多张所述视频图像的采集时间和所述目标人物所在的车型区域，确定多张所述视频图像中所述目标人物在所述目标车型所处区域内的停留时长；根据多个所述目标人物在所述目标车型所处区域内的停留时长，确定所述目标车型对应的总停留时长。
作为一种实施方式，所述装置应用于一种服务器；所述执行模块30，配置为向终端发送所述评价结果对应的资源调整建议，以使所述终端通过显示界面展示至少部分所述资源调整建议。
作为一种实施方式，所述装置应用于一种终端；所述执行模块30，配置为通过所述终端的显示界面展示至少部分所述评价结果对应的资源调整建议。
本领域技术人员应当理解，图4中所示的资源配置数据的处理装置中的各处理模块的实现功能可参照前述应用于电子设备的资源配置数据的处理方法的相关描述而理解。本领域技术人员应当理解，图4所示的资源配置数据的处理装置中各处理单元的功能可通过运行于处理器上的程序而实现，也可通过具体的逻辑电路而实现。
实际应用中，上述的获取模块10和评价模块20的具体结构均可对应于处理器。所述处理器具体的结构可以为中央处理器(CPU，Central Processing Unit)、微处理器(MCU，Micro Controller Unit)、数字信号处理器(DSP，Digital Signal Processing)或可编程逻辑器件(PLC，Programmable Logic Controller)等具有处理功能的电子元器件或电子元器件的集合。在资源配置数据的处理装置应用于服务器的情况下，所述执行模块30的具体结构可对应于处理器结合通信接口，所述通信接口在实际应用中可通过通信模组(包含：基础通信套件、操作***、通信模块、标准化接口和协议等)及收发天线实现。在资源配置数据的处理装置应用于终端的情况下，所述执行模块30的具体结构可对应于处理器结合显示屏。其中，所述处理器包括可执行代码，所述可执行代码存储在存储介质中，所述处理器可以通过总线等通信接口与所述存储介质中相连，在执行具体的各单元的对应功能时，从所述存储介质中读取并运行所述可执行代码。所述存储介质用于存储所述可执行代码的部分优选为非瞬间存储介质。
本公开实施例提供的资源配置数据的处理装置，能够更准确的掌握目标车型的热度及成交量的数据，而且能够给出目标车型的资源配置数据的评价结果，还能给出合理的资源配置数据的调整方案，有利于根据资源配置数据的评价结果和调整方案进行针对性的工作和服务，从而在基于数据整理结果，锁定影响成交量的核心因素的情况下，合理规划基于目标车型的资源分配情况，以进一步提高顾客体验和销售转换率。
对应上述应用于终端的资源配置数据的处理方法，本公开实施例提供了一种资源配置数据的处理装置，应用于终端，如图5所示，所述装置包括：通信模块40，配置为接收对目标车型的资源配置数据的评价结果；显示处理模块50，配置为显示所述评价结果； 其中，所述评价结果是基于目标场所的目标车型在预设时间范围内的热度及成交量得到的。其中，所述热度是基于预设时间范围内多个车型对应的总停留时长得到的。
在一些实施例中，所述通信模块40，还配置为接收所述评价结果对应的资源调整建议；所述显示处理模块50，还用于显示所述资源调整建议。
在一些实施例中，所述装置还包括：输入模块60(图5中未示出)，配置为接收查询条件，所述查询条件至少包括所述预设时间范围；所述通信模块40，还配置为向电子设备发送所述查询条件。
本领域技术人员应当理解，图5中所示的资源配置数据的处理装置中的各处理模块的实现功能可参照前述应用于终端的资源配置数据的处理方法的相关描述而理解。本领域技术人员应当理解，图5所示的资源配置数据的处理装置中各处理单元的功能可通过运行于处理器上的程序而实现，也可通过具体的逻辑电路而实现。
实际应用中，上述的通信模块40的具体结构可对应于通信接口，所述通信接口在实际应用中可通过通信模组(包含：基础通信套件、操作***、通信模块、标准化接口和协议等)及收发天线实现。上述显示处理模块50的具体结构可对应于处理器结合显示屏。上述输入模块60的具体结构可对应于处理器。所述处理器具体的结构可以为CPU、MCU、DSP或PLC等具有处理功能的电子元器件或电子元器件的集合。其中，所述处理器包括可执行代码，所述可执行代码存储在存储介质中，所述处理器可以通过总线等通信接口与所述存储介质中相连，在执行具体的各单元的对应功能时，从所述存储介质中读取并运行所述可执行代码。所述存储介质用于存储所述可执行代码的部分优选为非瞬间存储介质。
本公开实施例提供的资源配置数据的处理装置，能够更准确的掌握目标车型的热度及成交量的数据，而且能够给出目标车型的资源配置数据的评价结果，还能给出合理的资源配置数据的调整方案，有利于根据资源配置数据的评价结果和调整方案进行针对性的工作和服务，从而在基于数据整理结果，锁定影响成交量的核心因素的情况下，合理规划基于目标车型的资源分配情况，以进一步提高顾客体验和销售转换率。
本公开实施例还记载了一种资源配置数据的处理装置，图6为本公开实施例提供的资源配置数据的处理装置的硬件组成结构示意图，如图6所示，所述装置包括：存储器62、处理器61及存储在存储器62上并可在处理器61上运行的计算机程序，所述处理器61执行所述程序时实现前述任意一个技术方案提供的应用于电子设备或应用于终端的资源配置数据的处理方法。
本领域技术人员应当理解，图4或图5所示的资源配置数据的处理装置中各处理单元的功能可通过运行于处理器上的程序而实现，也可通过具体的逻辑电路而实现。
本公开实施例提供的资源配置数据的处理装置，能够更准确的掌握目标车型的热度及成交量的数据，而且能够给出目标车型的资源配置数据的评价结果，还能给出合理的资源配置数据的调整方案，有利于根据资源配置数据的评价结果和调整方案进行针对性的工作和服务，从而在基于数据整理结果，锁定影响成交量的核心因素的情况下，合理规划基于目标车型的资源分配情况，以进一步提高顾客体验和销售转换率。
可选地，在资源配置数据的处理装置应用于服务器的情况下，所述资源配置数据的处理装置还包括通信接口64。通信接口64用于资源配置数据的处理装置与其他设备之间有线或无线方式的通信。
可选地，在资源配置数据的处理装置应用于终端的情况下，所述资源配置数据的处理装置还包括显示器65。显示器65可以包括液晶显示器(LCD，Liquid Crystal Display)和触控面板(TP，Touch Panel)。如果屏幕包括触控面板，屏幕可以由触摸屏来实现，以接收来自用户的输入信号。
可以理解，资源配置数据的处理装置中的各个组件通过总线***63耦合在一起。可理解，总线***63用于实现这些组件之间的连接通信。总线***63除包括数据总线之外，还包括电源总线、控制总线和状态信号总线。但是为了清楚说明起见，在图6中将各种总线都标为总线***63。
可以理解，存储器62可以是易失性存储器或非易失性存储器，也可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read Only Memory，ROM)、可编程只读存储器(Programmable Read-Only Memory，PROM)、可擦除可编程只读存储器(Erasable Programmable Read-Only Memory，EPROM)、电可擦除可编程只读存储器(Electrically Erasable Programmable Read-Only Memory，EEPROM)、磁性随机存取存储器(Ferromagnetic Random Access Memory，FRAM)、快闪存储器(Flash Memory)、磁表面存储器、光盘、或只读光盘(Compact Disc Read-Only Memory，CD-ROM)；磁表面存储器可以是磁盘存储器或磁带存储器。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(Static Random Access Memory，SRAM)、同步静态随机存取存储器(Synchronous Static Random Access Memory，SSRAM)、动态随机存取存储器(Dynamic Random Access Memory，DRAM)、同步动态随机存取存储器(Synchronous Dynamic Random Access Memory，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate Synchronous Dynamic Random Access Memory，DDRSDRAM)、增强型同步动态随机存取存储器(Enhanced Synchronous Dynamic Random Access Memory，ESDRAM)、同步连接动态随机存取存储器(SyncLink Dynamic Random Access Memory，SLDRAM)、直接内存总线随机存取存储器(Direct Rambus Random Access Memory，DRRAM)。本公开实施例描述的存储器62旨在包括但不限于这些和任意其它适合类型的存储器。
上述本公开实施例揭示的方法可以应用于处理器61中，或者由处理器61实现。处理器61可能是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤可以通过处理器61中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器61可以是通用处理器、DSP，或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。处理器61可以实现或者执行本公开实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者任何常规的处理器等。结合本公开实施例所公开的方法的步骤，可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于存储介质中，该存储介质位于存储器62，处理器61读取存储器62中的信息，结合其硬件完成前述方法的步骤。
在示例性实施例中，资源配置数据的处理装置可以被一个或多个应用专用集成电路(Application Specific Integrated Circuit，ASIC)、DSP、可编程逻辑器件(Programmable Logic Device，PLD)、复杂可编程逻辑器件(Complex Programmable Logic Device，CPLD)、FPGA、通用处理器、控制器、MCU、微处理器(Microprocessor)、或其他电子元件实现，用于执行前述方法。
本公开实施例还记载了一种计算机存储介质，所述计算机存储介质中存储有计算机可执行指令，所述计算机可执行指令用于执行前述各个实施例所述的应用于电子设备的资源配置数据的处理方法；或者，所述计算机可执行指令用于执行前述各个实施例所述的应用于终端的资源配置数据的处理方法。也就是说，所述计算机可执行指令被处理器执行之后，能够实现前述任意一个技术方案提供的应用于电子设备或应用于终端的资源配置数据的处理方法。
本领域技术人员应当理解，本实施例的计算机存储介质中各程序的功能，可参照前 述各实施例所述的应用于电子设备或应用于终端的资源配置数据的处理方法的相关描述而理解。
本公开实施例还提供了一种计算机程序，所述计算机程序使得计算机执行本公开实施例所述的应用于电子设备或应用于终端的资源配置数据的处理方法。
在本公开所提供的几个实施例中，应该理解到，所揭露的装置和方法，可以通过其它的方式实现。以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，如：多个单元或组件可以结合，或可以集成到另一个***，或一些特征可以忽略，或不执行。另外，所显示或讨论的各组成部分相互之间的耦合、或直接耦合、或通信连接可以是通过一些接口，设备或单元的间接耦合或通信连接，可以是电性的、机械的或其它形式的。
上述作为分离部件说明的单元可以是、或也可以不是物理上分开的，作为单元显示的部件可以是、或也可以不是物理单元；既可以位于一个地方，也可以分布到多个网络单元上；可以根据实际的需要选择其中的部分或全部单元来实现本实施例方案的目的。
另外，在本公开各实施例中的各功能单元可以全部集成在一个处理单元中，也可以是各单元分别单独作为一个单元，也可以两个或两个以上单元集成在一个单元中；上述集成的单元既可以采用硬件的形式实现，也可以采用硬件加软件功能单元的形式实现。
本领域普通技术人员可以理解：实现上述方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成，前述的程序可以存储于计算机可读取存储介质中，该程序在执行时，执行包括上述方法实施例的步骤；而前述的存储介质包括：移动存储设备、ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
或者，本公开上述集成的单元如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。基于这样的理解，本公开实施例的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机、服务器、或者网络设备等)执行本申请各个实施例所述方法的全部或部分。而前述的存储介质包括：移动存储设备、ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本公开的可选实施方式，但本公开的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本公开揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本公开的保护范围之内。因此，本公开的保护范围应以所述权利要求的保护范围为准。

Claims (27)

  1. 一种资源配置数据的处理方法，所述方法包括：
    获取目标场所的目标车型在预设时间范围内的热度及成交量；
    基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果；
    根据所述评价结果，调整所述资源配置数据或输出所述评价结果对应的资源调整建议。
  2. 根据权利要求1所述的方法，其中，所述基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果，包括：
    根据所述热度与预设热度之间的大小关系，得到第一对比结果；
    根据所述成交量与预设成交量之间的大小关系，得到第二对比结果；
    基于所述第一对比结果和所述第二对比结果，确定所述评价结果。
  3. 根据权利要求1所述的方法，其中，所述预设时间范围包括第一预设时间范围和第二预设时间范围；
    所述基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果，包括：
    确定在所述第一预设时间范围内的所述热度，相对于在所述第二预设时间范围内的所述热度的第一变化趋势；
    确定在所述第一预设时间范围内的所述成交量，相对于在所述第二预设时间范围内的所述成交量的第二变化趋势；
    基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果。
  4. 根据权利要求2或3所述的方法，其中，所述评价结果包括至少两个等级；
    不同等级对应的待调整的资源配置数据的种类不同，和/或，不同等级对应的资源配置数据的调整方式不同。
  5. 根据权利要求2所述的方法，其中，所述基于所述第一对比结果和所述第二对比结果，确定所述评价结果，包括如下至少一项：
    在所述第一比对结果表示所述热度大于或等于所述预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第一评价结果；
    在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量大于或等于所述预设成交量的情况下，确定所述评价结果为第二评价结果；
    在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第三评价结果。
  6. 根据权利要求3所述的方法，其中，所述基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果，包括如下至少一项：
    在所述第一变化趋势为上升趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第一评价结果；
    在所述第一变化趋势为下降趋势，且所述第二趋势为上升趋势的情况下，确定所述评价结果为第二评价结果；
    在所述第一变化趋势为下降趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第三评价结果。
  7. 根据权利要求5或6所述的方法，其中，所述根据所述评价结果，调整所述资源配置数据，包括如下至少一项：
    在所述评价结果包括所述第一评价结果的情况下，调整所述资源配置数据的内容，所述资源配置数据包括线上资源配置数据和/或线下资源配置数据；
    在所述评价结果包括所述第二评价结果的情况下，调整所述线下资源配置数据的内容；
    在所述评价结果包括所述第三评价结果的情况下，调整所述线上资源配置数据和所述线下资源配置数据的内容。
  8. 根据权利要求7所述的方法，其中，所述线下资源配置数据的内容至少包括所述目标车型的放置位置、售价、售后服务、资源配置数据推送方式中的至少一项；
    和/或，所述线上资源配置数据的内容至少包括所述目标车型相关信息的呈现位置、售价、售后服务、资源配置数据推送方式中的至少一项；
    和/或，所述资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的至少一项。
  9. 根据权利要求1至8中任意一项所述的方法，其中，所述获取目标场所的目标车型在预设时间范围内的热度，包括：
    基于所述预设时间范围内到访的多个人物的视频图像，确定目标车型对应的总停留时长；
    基于所述目标车型对应的总停留时长，确定所述目标车型的热度。
  10. 根据权利要求9所述的方法，其中，所述基于所述预设时间范围内到访的多个人物的视频图像，确定目标车型对应的总停留时长，包括：
    基于多张所述视频图像中出现目标人物的位置信息和所述目标车型所处区域的位置信息，确定所述目标人物所在的车型区域；
    根据多张所述视频图像的采集时间和所述目标人物所在的车型区域，确定多张所述视频图像中所述目标人物在所述目标车型所处区域内的停留时长；
    根据多个所述目标人物在所述目标车型所处区域内的停留时长，确定所述目标车型对应的总停留时长。
  11. 根据权利要求1至10中任意一项所述的方法，其中，所述方法应用于一种服务器，所述根据所述评价结果，输出所述评价结果对应的资源调整建议，包括：
    向终端发送所述评价结果对应的资源调整建议，以使所述终端通过显示界面展示至少部分所述资源调整建议。
  12. 根据权利要求1至10中任意一项所述的方法，其中，所述方法应用于一种终端，所述根据所述评价结果，输出所述评价结果对应的资源调整建议，包括：
    通过所述终端的显示界面展示至少部分所述评价结果对应的资源调整建议。
  13. 一种资源配置数据的处理装置，所述装置包括：
    获取模块，配置为获取目标场所的目标车型在预设时间范围内的热度及成交量；
    评价模块，配置为基于所述热度和所述成交量，对所述目标车型的资源配置数据进行评价，得到所述资源配置数据的评价结果；
    执行模块，配置为根据所述评价结果，调整所述资源配置数据或输出所述评价结果对应的资源调整建议。
  14. 根据权利要求13所述的装置，其中，所述评价模块，配置为根据所述热度与预设热度之间的大小关系，得到第一对比结果；根据所述成交量与预设成交量之间的大小关系，得到第二对比结果；基于所述第一对比结果和所述第二对比结果，确定所述评价结果。
  15. 根据权利要求13所述的装置，其中，所述预设时间范围包括第一预设时间范围和第二预设时间范围；所述评价模块，配置为确定在所述第一预设时间范围内的所述 热度，相对于在所述第二预设时间范围内的所述热度的第一变化趋势；确定在所述第一预设时间范围内的所述成交量，相对于在所述第二预设时间范围内的所述成交量的第二变化趋势；基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果。
  16. 根据权利要求14或15所述的装置，其中，所述评价结果包括至少两个等级；不同等级对应的待调整的资源配置数据的种类不同，和/或，不同等级对应的资源配置数据的调整方式不同。
  17. 根据权利要求14所述的装置，其中，所述评价模块，配置为基于所述第一对比结果和所述第二对比结果，确定所述评价结果，包括如下至少一项：在所述第一比对结果表示所述热度大于或等于所述预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第一评价结果；在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量大于或等于所述预设成交量的情况下，确定所述评价结果为第二评价结果；在所述第一比对结果表示所述热度小于所述预设热度，且所述第二比对结果表示所述成交量小于所述预设成交量的情况下，确定所述评价结果为第三评价结果。
  18. 根据权利要求15所述的装置，其中，所述评价模块，配置为基于所述第一变化趋势和所述第二变化趋势，确定所述评价结果，包括如下至少一项：在所述第一变化趋势为上升趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第一评价结果；在所述第一变化趋势为下降趋势，且所述第二趋势为上升趋势的情况下，确定所述评价结果为第二评价结果；在所述第一变化趋势为下降趋势，且所述第二趋势为下降趋势的情况下，确定所述评价结果为第三评价结果。
  19. 根据权利要求17或18中任意一项所述的装置，其中，所述执行模块，配置为根据所述评价结果，调整所述资源配置数据，包括如下至少一项：在所述评价结果包括所述第一评价结果的情况下，调整所述资源配置数据的内容，所述资源配置数据包括线上资源配置数据和/或线下资源配置数据；在所述评价结果包括所述第二评价结果的情况下，调整所述线下资源配置数据的内容；在所述评价结果包括所述第三评价结果的情况下，调整所述线上资源配置数据和所述线下资源配置数据的内容。
  20. 根据权利要求19所述的装置，其中，所述线下资源配置数据的内容至少包括所述目标车型的放置位置、售价、售后服务、资源配置数据推送方式中的至少一项；
    和/或，所述线上资源配置数据的内容至少包括所述目标车型相关信息的呈现位置、售价、售后服务、资源配置数据推送方式中的至少一项；
    和/或，所述资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的至少一项。
  21. 根据权利要13至20中任意一项所述的装置，其中，所述获取模块，配置为基于所述预设时间范围内到访的多个人物的视频图像，确定目标车型对应的总停留时长；基于所述目标车型对应的总停留时长，确定所述目标车型的热度。
  22. 根据权利要求21所述的装置，其中，所述获取模块，配置为基于多张所述视频图像中出现目标人物的位置信息和所述目标车型所处区域的位置信息，确定所述目标人物所在的车型区域；根据多张所述视频图像的采集时间和所述目标人物所在的车型区域，确定多张所述视频图像中所述目标人物在所述目标车型所处区域内的停留时长；根据多个所述目标人物在所述目标车型所处区域内的停留时长，确定所述目标车型对应的总停留时长。
  23. 根据权利要求13至22任一项所述的装置，其中，所述装置应用于一种服务器；所述执行模块，配置为向终端发送所述评价结果对应的资源调整建议，以使所述终端通过显示界面展示至少部分所述资源调整建议。
  24. 根据权利要求13至22任一项所述的装置，其中，所述装置应用于一种终端；所述执行模块，配置为通过所述终端的显示界面展示至少部分所述评价结果对应的资源调整建议。
  25. 一种资源配置数据的处理装置，所述装置包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现权利要求1至12任一项所述的资源配置数据的处理方法。
  26. 一种计算机存储介质，所述计算机存储介质存储有计算机程序，所述计算机程序被处理器执行时，使得所述处理器执行权利要求1至12任一项所述的资源配置数据的处理方法。
  27. 一种计算机程序，所述计算机程序使得计算机执行权利要求1至12任一项所述的资源配置数据的处理方法。
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