WO2024114384A1 - Method and apparatus for reminding user to perform mobility power supply - Google Patents

Method and apparatus for reminding user to perform mobility power supply Download PDF

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Publication number
WO2024114384A1
WO2024114384A1 PCT/CN2023/131802 CN2023131802W WO2024114384A1 WO 2024114384 A1 WO2024114384 A1 WO 2024114384A1 CN 2023131802 W CN2023131802 W CN 2023131802W WO 2024114384 A1 WO2024114384 A1 WO 2024114384A1
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WIPO (PCT)
Prior art keywords
energy replenishment
mobile energy
target user
mobile
information
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PCT/CN2023/131802
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French (fr)
Chinese (zh)
Inventor
王炜
王阳
郑炜
Original Assignee
浙江极氪智能科技有限公司
浙江吉利控股集团有限公司
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Publication of WO2024114384A1 publication Critical patent/WO2024114384A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/109Time management, e.g. calendars, reminders, meetings or time accounting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Definitions

  • the present disclosure relates to the automotive field, and in particular to a method and device for reminding a user to perform mobile energy replenishment.
  • Mobile energy replenishment refers to replenishing users' new energy vehicles through mobile energy replenishment equipment.
  • Mobile energy replenishment equipment is a movable device that provides mobile energy replenishment services to users.
  • the present disclosure provides a method and device for reminding a user to perform mobile energy replenishment, so as to solve the deficiencies in the related art.
  • a method for reminding a user to perform mobile energy replenishment includes performing mobile energy replenishment on the user's new energy vehicle through a mobile energy replenishment device, and the method is executed by a server; the method includes:
  • a mobile energy replenishment reminder is sent to the target user.
  • a device for reminding a user to perform mobile energy replenishment wherein the mobile energy replenishment includes performing mobile energy replenishment on the user's new energy vehicle through a mobile energy replenishment device, and the device is applied to a server; the device includes:
  • An acquisition unit used to acquire current scene information related to a target user
  • a first input unit is used to input the current scene information into a mobile energy replenishment demand model to obtain the mobile energy replenishment demand value of the target user in the current scene; wherein the mobile energy replenishment demand model is trained according to the historical order data of the mobile energy replenishment of the mobile energy replenishment device;
  • the first sending unit is used to send a mobile energy replenishment reminder to the target user when the mobile energy replenishment demand value reaches a preset threshold and the mobile energy replenishment device has not received the mobile energy replenishment order of the target user.
  • an electronic device including:
  • a memory for storing processor-executable instructions
  • the processor implements any one of the methods in the first aspect by running the executable instructions.
  • a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the method described in the first aspect is implemented.
  • the mobile energy replenishment demand value of the target user in the current scenario is obtained by obtaining the current scenario information related to the target user and inputting the current scenario information into the mobile energy replenishment demand model. Since the mobile energy replenishment demand model is trained based on the historical order data of mobile energy replenishment by the mobile energy replenishment device, the mobile energy replenishment demand model can infer the mobile energy replenishment demand value of the target user in the current scenario based on the ordering habits of the target user, so that when the mobile energy replenishment demand value is greater than the preset threshold, a mobile energy replenishment reminder is sent to the target user to avoid power shortage caused by the target user forgetting to send the mobile energy replenishment order.
  • FIG1 is a system architecture diagram of a method for reminding a target user to perform mobile energy replenishment, shown in an embodiment of the present disclosure
  • FIG2 is a flow chart of a method for reminding a target user to perform mobile energy replenishment according to an embodiment of the present disclosure
  • FIG3 is a schematic diagram of obtaining current scene information according to an embodiment of the present disclosure.
  • FIG4 is a schematic diagram of an interface for a user to view historical orders according to an embodiment of the present disclosure
  • FIG5 is a flow chart of a method for training a mobile energy replenishment demand model shown in an embodiment of the present disclosure
  • FIG6a is a schematic diagram of a mobile energy replenishment reminder shown in an embodiment of the present disclosure.
  • FIG6b is a schematic diagram of candidate order information shown in an embodiment of the present disclosure.
  • FIG6c is a schematic diagram of customized order information shown in an embodiment of the present disclosure.
  • FIG7 is a schematic diagram of a logistic regression function shown in an embodiment of the present disclosure.
  • FIG8 is a schematic structural diagram of an electronic device shown in an embodiment of the present disclosure.
  • FIG. 9 is a block diagram of a device for reminding a target user to perform mobile energy replenishment according to an embodiment of the present disclosure.
  • first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other.
  • first information may also be referred to as the second information without departing from the scope of the present disclosure, and similarly, the second information may also be referred to as the first information.
  • word "if” as used herein may be interpreted as "when" or “when” or “in response to determining.”
  • the present disclosure first describes in detail what a mobile charging device is.
  • the owner when a new energy vehicle is low on power, the owner is required to drive the new energy vehicle to a preset charging pile for charging, i.e., the "car looking for pile" charging method.
  • the charging pile may have been out of service, forcing the owner to look for the next charging pile, resulting in a poor user experience, or even the remaining power cannot reach the next charging pile, causing the vehicle to break down. Therefore, the present invention designs a mobile energy replenishment device, which consists of a control unit and at least one energy storage unit.
  • All units are detachable, and each unit is small in size and has a certain degree of portability.
  • the relevant operating personnel can combine the control unit and the corresponding number of energy storage units into a mobile energy replenishment device, and directly carry the mobile energy replenishment device to the vehicle corresponding to the order in the form of handheld or vehicle-mounted, and use the device to complete the energy replenishment of the vehicle. Therefore, it can also be roughly regarded as a "pile-finding-car" energy replenishment method. While solving the social employment problem (arranging operating personnel), it can also improve the user experience of the car owner, and there is no need to worry about "looking for charging piles due to low battery".
  • FIG1 is a system architecture diagram for reminding a user to perform mobile charging, shown in an embodiment of the present disclosure.
  • the architecture diagram may include a mobile phone 10 , a mobile charging device 11 , and a server 12 .
  • the mobile phone 10 may be a type of electronic device used by a user. Under normal circumstances, the user may send a mobile energy replenishment order to the mobile energy replenishment device 11 through the mobile phone 10 to obtain the mobile energy replenishment service provided by the mobile energy replenishment device 11.
  • a mobile energy replenishment demand model is run on the server 12. The model is trained based on the historical order data of mobile energy replenishment performed by the mobile energy replenishment device 11 and is used to predict the tendency of users to perform mobile energy replenishment demand in different scenarios.
  • the server 12 can obtain scenario information related to the user and input the scenario information into a pre-trained mobile energy replenishment demand model to obtain a mobile energy replenishment demand value, which can reflect the user's tendency to make mobile energy replenishment demands.
  • the server 12 can send a mobile energy replenishment reminder to the mobile phone 10 to remind the user to send a mobile energy replenishment order.
  • the mobile energy replenishment demand model is trained based on the historical order data of mobile energy replenishment by mobile energy replenishment equipment, so that when the tendency is greater than the preset threshold, In this case, a mobile charging reminder is sent to the target user to avoid power shortage caused by the target user forgetting to send the mobile charging order.
  • FIG2 is a flow chart of a method for reminding a user to perform mobile energy replenishment shown in an exemplary embodiment of the present disclosure.
  • the mobile energy replenishment includes performing mobile energy replenishment on the user's new energy vehicle through a mobile energy replenishment device.
  • the method is applied to a server and may specifically include the following steps 202 to 206 .
  • Step 202 Obtain current scene information related to the target user.
  • the target user may refer to a user who has registered an account on the mobile charging device, or a user who has recorded historical order data on the mobile charging device.
  • the current scene information related to the target user may refer to information about the scene in which the target user is currently located. Specifically, the current scene information may include at least one of the following: weather information, time information, and location information.
  • the time information is the moment in the current scene of the target user, such as 9:20 in the morning
  • the location information is the current location of the target user, which may specifically be the location of the mobile phone used by the target user, such as "a certain community in a certain county in a certain city”
  • the weather information is the weather information at the current location of the target user and the current moment, such as "sunny" or "light rain”.
  • the current scene information may be a combination of weather information, time information, and location information, such as "a certain community, nine o'clock in the morning, sunny", and the present disclosure does not limit the specific content of the current scene information.
  • the server 301 can send a scene information acquisition request to the mobile phone 302 corresponding to the target user.
  • the mobile phone 302 is configured with a weather module 303, a timing module 304, and a positioning module 305, wherein the positioning module 305 can locate the location of the mobile phone 302 to obtain the location information, the weather module 303 can further obtain the weather conditions of the current location according to the location information, thereby obtaining the weather information, and the timing module 304 can record the moment when the mobile phone 302 receives the scene information acquisition request, thereby obtaining the time information.
  • the mobile phone 302 can respectively run the weather module 303, the timing module 304, and the positioning module 305, thereby obtaining weather information, time information, and location information, and return these three types of information to the server 301 as the current scene information.
  • the method of obtaining scene information is not limited to the method shown in FIG3 , for example: the scene information can be manually input by the user, or the server can obtain the location information of the target user, and obtain the relevant weather information and time information from the third-party platform after obtaining the location information. The present disclosure does not limit this.
  • Step 204 input the current scenario information into a mobile energy replenishment demand model to obtain the mobile energy replenishment demand value of the target user in the current scenario; wherein the mobile energy replenishment demand model is trained based on historical order data of mobile energy replenishment performed by the mobile energy replenishment device.
  • the mobile energy replenishment demand model is trained by the server based on the historical order data of mobile energy replenishment by mobile energy replenishment equipment.
  • the historical order data may include: the first category historical order data of the target user and/or the second category historical order data of other users different from the target user.
  • the training sample of the mobile charging equipment demand model comes from: the second category historical order data, or the first category historical order data and the second category historical order data; when the first category historical order data of the target user reaches the preset quantity threshold, the training sample of the mobile charging equipment demand model comes from the first category historical order data.
  • the mobile energy replenishment device stores historical order data of three people, namely, one historical order data of Xiao Ming, five historical order data of Xiao Bai, and ten historical order data of Xiao Hei.
  • the preset quantity threshold is five historical order data
  • the training sample of the mobile energy replenishment demand model at this time comes from the historical order data of Xiao Bai and Xiao Hei (i.e., the second category of historical order data), or the historical order data of Xiao Ming, Xiao Bai and Xiao Hei (i.e., the first category of historical order data and the second category of historical order data).
  • the training sample of the mobile energy replenishment demand model only comes from Xiao Hei's historical order data.
  • the historical order data may include historical scene information, and the historical scene information may specifically include the order time, the order location, and the weather information when the order was placed.
  • Figure 4 is a schematic diagram of a user viewing a historical order interface shown in an exemplary embodiment of the present disclosure.
  • the mobile energy replenishment order in Figure 4 is stored in the mobile energy replenishment device, and the user can view the historical order data through the client.
  • the historical order data may include: order number, order time, order location, weather, electricity consumption, delivery method, payment method, and payment amount. Among them, the order time, order location, and weather all belong to historical scene information.
  • the order time of the order is "2022-9-12 18:32:40”
  • the order location is "xx Community, xx County, xx City”
  • the weather is "Sunny”.
  • the server can extract historical scene information from the historical order data as training samples, and combine the scene information with the user's mobile energy replenishment tendency, so that the server can calculate the user's mobile energy replenishment demand value in the current scene through the mobile energy replenishment demand model.
  • the training method of the mobile energy replenishment demand model is described in detail below in conjunction with Figure 5. As shown in Figure 5, the method can include the following steps 501 to 505.
  • Step 501 input historical scene information and actual mobile energy replenishment demand value into a mobile energy replenishment demand model to obtain a predicted mobile energy replenishment demand value.
  • historical scenario information may include order time, order location, and weather. Since historical orders are generated orders, the probability of a user placing an order is 1, so the actual mobile energy replenishment demand value can be set to 1 by default.
  • Each set of samples includes historical scenario information extracted from a set of historical order data and the actual mobile energy replenishment demand value. The sample is input into the mobile energy replenishment demand model, which extracts features from the historical scene information and finally calculates the predicted mobile energy replenishment demand value for the historical scene information.
  • the predicted mobile energy replenishment demand value represents the user's tendency to perform mobile energy replenishment under the historical scene predicted by the model.
  • Step 502 substitute the predicted mobile energy replenishment demand value and the actual mobile energy replenishment demand value into the cost function for calculation.
  • the specific cost function can be the sum of the square differences between the predicted mobile energy replenishment demand value and the actual mobile energy replenishment demand value of all samples. For example: there are two sample results, the predicted mobile energy replenishment demand value of the first one is 0.8, and the actual mobile energy replenishment demand value is 1; the predicted mobile energy replenishment demand value of the second one is 0.75, and the actual mobile energy replenishment demand value is 1, then the calculation result of the cost function is the square difference between 1 and 0.8 (0.36) and the sum of the square differences between 1 and 0.9 (0.19), that is, 0.55.
  • the calculation method of the cost value is not limited to the square difference, and the variance and the average value can be used to calculate the cost function, and the present disclosure does not limit this.
  • Step 503 whether the calculation result is greater than a preset cost value.
  • the mobile energy replenishment demand model is not accurate enough, so enter step 504 to adjust the parameters of the mobile energy replenishment demand model.
  • the preset cost value can be set manually or according to the number of samples. For example, when the number of samples is large, the preset cost value can be set as small as possible to improve the accuracy of the mobile energy replenishment demand model; when the number of samples is small, the preset cost value can be set larger to avoid the training process being too lengthy.
  • the embodiment shown in FIG5 provides a method for training a mobile energy replenishment demand model.
  • the trained mobile energy replenishment demand model is more accurate and more in line with the user's ordering habits, thereby improving the user's usage experience.
  • Step 206 When the mobile energy replenishment demand value reaches a preset threshold and the mobile energy replenishment device has not received the mobile energy replenishment order of the target user, send a mobile energy replenishment reminder to the target user.
  • the preset threshold can be manually set by the administrator of the server.
  • the preset threshold can be set to 0.95.
  • the mobile energy replenishment demand value calculated by the mobile energy replenishment demand model reaches 0.95, it means that the probability that the target user has a mobile energy replenishment demand in the current scenario has reached the preset threshold. If the mobile energy replenishment device does not receive the mobile energy replenishment order sent by the target user at this time, a mobile energy replenishment reminder can be sent to the user to remind the user to perform mobile energy replenishment.
  • This embodiment obtains current scene information related to the target user and inputs the current scene information into the mobile
  • the energy replenishment demand model is used to obtain the mobile energy replenishment demand value of the target user in the current scenario. Since the mobile energy replenishment demand model is trained based on the historical order data of mobile energy replenishment by mobile energy replenishment equipment, the mobile energy replenishment demand model can infer the mobile energy replenishment demand value of the target user in the current scenario based on the target user's ordering habits, so that when the mobile energy replenishment demand value is greater than the preset threshold, a mobile energy replenishment reminder is sent to the target user to avoid power shortage caused by the target user forgetting to send a mobile energy replenishment order.
  • a mobile energy replenishment order is generated; the mobile energy replenishment order is sent to the mobile energy replenishment device, so that the mobile energy replenishment device performs mobile energy replenishment on the new energy vehicle of the target user.
  • the above-mentioned mobile energy replenishment reminder not only has the function of reminding users to perform mobile energy replenishment, but also can include candidate order information for users to choose.
  • the current scenario information of the target user is input into the mobile energy replenishment order information model to obtain the candidate order information of the target user in the current scenario; wherein the mobile energy replenishment order information model is trained according to the historical order data uploaded by the mobile energy replenishment device; the mobile energy replenishment reminder is generated, and the mobile energy replenishment reminder includes the candidate order information; wherein the candidate order information is used to: when the target user returns confirmation information for the mobile energy replenishment reminder, automatically fill in the corresponding generated mobile energy replenishment order.
  • the candidate order information may include electricity consumption.
  • the server can optimize only the mobile energy replenishment demand model through the feedback of the target user, or can optimize only the mobile energy replenishment order information model through the feedback of the target user, or can optimize the mobile energy replenishment demand model and the mobile energy replenishment order information model respectively through the feedback of the target user.
  • the mobile energy replenishment order may also include order information such as power consumption, delivery method, and payment method.
  • the server may use the historical order information in the historical order data as training samples to train the mobile energy replenishment order information model. After the server inputs the current scenario information into the trained mobile energy replenishment order information model, it can obtain the candidate order information that the target user may use in the current scenario.
  • the mobile energy replenishment reminder sent by the server to the target user may include the candidate order information, so that the target user can generate a mobile energy replenishment order without manually entering the order information.
  • the server can send the mobile energy replenishment reminder to the mobile phone corresponding to the target user, and present the words "Mobile energy replenishment reminds you whether you currently have a mobile energy replenishment demand?" to the target user through the mobile phone.
  • the user can click the "No, thank you” button to refuse mobile energy replenishment in the current scenario, or click the "Need” button to confirm that there is a need for mobile energy replenishment.
  • the interface will jump to the interface shown in Figure 6b, and the mobile phone will present the candidate order information sent by the server to the target user, and the target user will confirm whether to use the candidate order information.
  • the target user chooses to use the candidate order information, he can click the "Submit Order” button. If the target user does not choose to use the candidate order information, he can click the "Customize” button to customize the order information of the mobile energy replenishment order. When the target user clicks the "Customize” button, the interface will jump to the interface shown in Figure 6c. The user can manually enter information such as power consumption, delivery method, and payment method. After filling in the order information, he can click the "Submit Order" button to submit the order.
  • This embodiment obtains candidate order information that may be used by the target user in the current scenario through the mobile charging order information model, so that the user can generate a mobile charging order without manually entering the order information, thereby improving the user experience.
  • the server can adjust the model parameters according to the calculation result of the cost function, so as to improve the accuracy of the model.
  • the server can also adjust the model parameters according to the feedback of the target user on the mobile energy replenishment reminder to optimize the model.
  • the feedback of the target user on the mobile energy replenishment reminder is received; the mobile energy replenishment demand model and/or the mobile energy replenishment order information model are optimized according to the feedback of the target user.
  • the server can optimize the mobile energy replenishment demand model through a logistic regression function, as shown in FIG7, where the Y axis represents the cost value and the X axis represents the mobile energy replenishment demand value.
  • FIG6a there are two feedback situations of the target user, one represents that the target user needs to perform mobile energy replenishment, and the other represents that the target user does not need to perform mobile energy replenishment.
  • the solid line in FIG7 shows that when the target user needs to perform mobile energy replenishment, the closer the mobile energy replenishment demand value is to 1 (i.e., the real mobile energy replenishment demand value), the smaller the cost value is, indicating that the model accuracy is higher and the optimization is less needed; the dotted line represents that when the target user does not need to perform mobile energy replenishment, the larger the mobile energy replenishment demand value is, the larger the cost value is, indicating that the model accuracy is lower and the optimization is more needed.
  • the optimization process of the mobile energy replenishment order information model is similar to that of the mobile energy replenishment demand model.
  • the cost function is also used to calculate the cost value of the candidate order information and the target user's customized order information to optimize the mobile energy replenishment order information model. It will not be repeated here.
  • the present disclosure also provides embodiments of a device, an electronic device, and a vehicle.
  • FIG8 is a schematic structural diagram of an electronic device shown in an embodiment of the present disclosure. Please refer to FIG8.
  • the device includes a processor 801, a network interface 802, a memory 803, a non-volatile memory 804, and an internal bus 805, and may also include hardware required for other services.
  • One or more embodiments of the present disclosure can be implemented based on software, such as the processor 801 reading the corresponding computer program from the non-volatile memory 804 into the memory 803 and then running it.
  • one or more embodiments of the present disclosure do not exclude other implementations, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.
  • FIG9 is a block diagram of a device for reminding a user to perform mobile energy replenishment shown in an embodiment of the present disclosure.
  • the device can be applied to the device shown in FIG8 to implement the technical solution described in the present disclosure, wherein the mobile energy replenishment includes performing mobile energy replenishment on the user's new energy vehicle through a mobile energy replenishment device, and the device is applied to a server; the device includes:
  • An acquisition unit 901 is used to acquire current scene information related to a target user
  • the first input unit 902 is used to input the current scene information into the mobile energy replenishment demand model to obtain the mobile energy replenishment demand value of the target user in the current scene; wherein the mobile energy replenishment demand model is trained according to the historical order data of the mobile energy replenishment of the mobile energy replenishment device;
  • the first sending unit 903 is configured to send a mobile energy replenishment reminder to the target user when the mobile energy replenishment demand value reaches a preset threshold and the mobile energy replenishment device has not received the mobile energy replenishment order of the target user.
  • the current scene information includes at least one of the following: weather information, time information or location information.
  • the historical order data includes at least one of the following: first-category historical order data of the target user or second-category historical order data of other users different from the target user; wherein:
  • the training sample of the mobile charging device demand model comes from: the second type of historical order data, or the first type of historical order data and the second type of historical order data;
  • the training samples of the mobile charging equipment demand model come from the first type of historical order data.
  • the device further comprises:
  • the second input unit 904 is used to input the current scenario information of the target user into the mobile charging order information model to obtain the candidate order information of the target user in the current scenario; wherein the mobile charging order information model is trained according to the historical order data uploaded by the mobile charging device;
  • the first generating unit 905 is used to generate the mobile energy replenishment reminder, and the mobile energy replenishment reminder includes the candidate order information; wherein the candidate order information is used to: when the target user returns confirmation information for the mobile energy replenishment reminder, automatically fill in the corresponding generated mobile energy replenishment order.
  • the device further comprises:
  • the receiving unit 906 is configured to receive feedback from the target user on the mobile energy replenishment reminder
  • the optimization unit 907 is used to optimize the mobile energy replenishment demand model or the mobile energy replenishment demand model according to the feedback of the target user. At least one of the energy replenishment order information models is optimized.
  • the candidate order information includes: electricity consumption.
  • the device further comprises:
  • a second generating unit 908 is configured to generate a mobile energy replenishment order in response to confirmation information returned by the target user in response to the mobile energy replenishment reminder;
  • the second sending unit 909 is used to send the mobile energy replenishment order to the mobile energy replenishment device, so that the mobile energy replenishment device performs mobile energy replenishment for the new energy vehicle of the target user.

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Abstract

The present disclosure provides a method and apparatus for reminding a user to perform mobility power supply. The mobility power supply comprises performing mobility power supply on a new energy vehicle of the user by means of a mobility power supply device. The method is applied to a server. The method comprises: acquiring current scenario information related to a target user; inputting the current scenario information into a mobility power supply demand model to obtain a mobility power supply demand value of the target user under the current scenario, wherein the mobility power supply demand model is obtained by performing training according to historical order data of the mobility power supply device for mobility power supply; and when the mobility power supply demand value reaches a preset threshold and the mobility power supply device does not receive a mobility power supply order of the target user, sending a mobility power supply reminder to the target user.

Description

提醒用户进行移动补能的方法及装置Method and device for reminding users to perform mobile energy replenishment
相关申请的交叉引用CROSS-REFERENCE TO RELATED APPLICATIONS
本申请要求于2022年12月02日提交的、申请号为202211541613.7的中国专利申请的优先权,该申请以引用的方式并入本文中。This application claims priority to Chinese patent application No. 202211541613.7 filed on December 2, 2022, which is incorporated herein by reference.
技术领域Technical Field
本公开涉及汽车领域,尤其涉及一种提醒用户进行移动补能的方法及装置。The present disclosure relates to the automotive field, and in particular to a method and device for reminding a user to perform mobile energy replenishment.
背景技术Background technique
随着新能源汽车的普及,移动补能成为实现新能源汽车快速补能的重要途径,移动补能指的是通过移动补能设备向用户的新能源汽车进行补能,移动补能设备是一种向用户提供移动补能服务的可移动的设备。With the popularization of new energy vehicles, mobile energy replenishment has become an important way to achieve rapid energy replenishment of new energy vehicles. Mobile energy replenishment refers to replenishing users' new energy vehicles through mobile energy replenishment equipment. Mobile energy replenishment equipment is a movable device that provides mobile energy replenishment services to users.
目前,在没有收到用户的移动补能订单的情况下,移动补能设备是不会向用户提供移动补能服务的。而用户在日常生活中容易忘记发送移动补能订单,从而导致新能源汽车缺电的问题。At present, if there is no mobile charging order from the user, the mobile charging equipment will not provide mobile charging service to the user. And users tend to forget to send mobile charging orders in daily life, which leads to the problem of power shortage of new energy vehicles.
发明内容Summary of the invention
有鉴于此,本公开提供一种提醒用户进行移动补能的方法及装置,以解决相关技术中的不足。In view of this, the present disclosure provides a method and device for reminding a user to perform mobile energy replenishment, so as to solve the deficiencies in the related art.
具体地,本公开是通过如下技术方案实现:Specifically, the present disclosure is implemented through the following technical solutions:
根据本公开的第一方面,提供了一种提醒用户进行移动补能的方法,所述移动补能包括通过移动补能设备向用户的新能源车辆进行移动补能,所述方法由服务器执行;所述方法包括:According to a first aspect of the present disclosure, a method for reminding a user to perform mobile energy replenishment is provided, wherein the mobile energy replenishment includes performing mobile energy replenishment on the user's new energy vehicle through a mobile energy replenishment device, and the method is executed by a server; the method includes:
获取与目标用户相关的当前场景信息;Get current scene information related to the target user;
将所述当前场景信息输入至移动补能需求模型,以得到当前场景下所述目标用户的移动补能需求值;其中,所述移动补能需求模型为根据所述移动补能设备进行移动补能的历史订单数据进行训练得到; Inputting the current scenario information into a mobile energy replenishment demand model to obtain the mobile energy replenishment demand value of the target user in the current scenario; wherein the mobile energy replenishment demand model is trained based on historical order data of mobile energy replenishment performed by the mobile energy replenishment device;
在所述移动补能需求值达到预设阈值,且所述移动补能设备未收到所述目标用户的移动补能订单的情况下,向所述目标用户发送移动补能提醒。When the mobile energy replenishment demand value reaches a preset threshold and the mobile energy replenishment device has not received the mobile energy replenishment order of the target user, a mobile energy replenishment reminder is sent to the target user.
根据本公开的第二方面,提供了一种提醒用户进行移动补能的装置,所述移动补能包括通过移动补能设备向用户的新能源车辆进行移动补能,所述装置应用于服务器;所述装置包括:According to a second aspect of the present disclosure, a device for reminding a user to perform mobile energy replenishment is provided, wherein the mobile energy replenishment includes performing mobile energy replenishment on the user's new energy vehicle through a mobile energy replenishment device, and the device is applied to a server; the device includes:
获取单元,用于获取与目标用户相关的当前场景信息;An acquisition unit, used to acquire current scene information related to a target user;
第一输入单元,用于将所述当前场景信息输入至移动补能需求模型,以得到当前场景下所述目标用户的移动补能需求值;其中,所述移动补能需求模型为根据所述移动补能设备进行移动补能的历史订单数据进行训练得到;A first input unit is used to input the current scene information into a mobile energy replenishment demand model to obtain the mobile energy replenishment demand value of the target user in the current scene; wherein the mobile energy replenishment demand model is trained according to the historical order data of the mobile energy replenishment of the mobile energy replenishment device;
第一发送单元,用于在所述移动补能需求值达到预设阈值,且所述移动补能设备未收到所述目标用户的移动补能订单的情况下,向所述目标用户发送移动补能提醒。The first sending unit is used to send a mobile energy replenishment reminder to the target user when the mobile energy replenishment demand value reaches a preset threshold and the mobile energy replenishment device has not received the mobile energy replenishment order of the target user.
根据本公开的第三方面,提供了一种电子设备,包括:According to a third aspect of the present disclosure, there is provided an electronic device, including:
处理器;processor;
用于存储处理器可执行指令的存储器;a memory for storing processor-executable instructions;
其中,所述处理器通过运行所述可执行指令以实现第一方面中任一项所述的方法。The processor implements any one of the methods in the first aspect by running the executable instructions.
根据本公开的第四方面,提供了一种计算机可读存储介质,其上存储有计算机程序,所述程序被处理器执行时实现第一方面所述方法。According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method described in the first aspect is implemented.
本公开的实施例提供的技术方案可以包括以下有益效果:The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects:
在本公开的实施例中,通过获取与目标用户相关的当前场景信息,并将当前场景信息输入至移动补能需求模型,来得到当前场景下目标用户的移动补能需求值。由于移动补能需求模型为根据移动补能设备进行移动补能的历史订单数据进行训练得到,所以移动补能需求模型可以根据目标用户的下单习惯推测出目标用户在当前场景下进行移动补能需求值,从而在移动补能需求值大于预设阈值的情况下,向目标用户发送移动补能提醒,避免目标用户忘记发送移动补能订单而导致的缺电问题。In an embodiment of the present disclosure, the mobile energy replenishment demand value of the target user in the current scenario is obtained by obtaining the current scenario information related to the target user and inputting the current scenario information into the mobile energy replenishment demand model. Since the mobile energy replenishment demand model is trained based on the historical order data of mobile energy replenishment by the mobile energy replenishment device, the mobile energy replenishment demand model can infer the mobile energy replenishment demand value of the target user in the current scenario based on the ordering habits of the target user, so that when the mobile energy replenishment demand value is greater than the preset threshold, a mobile energy replenishment reminder is sent to the target user to avoid power shortage caused by the target user forgetting to send the mobile energy replenishment order.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
为了更清楚地说明本公开的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单的介绍。显而易见地,下面描述中的附图仅仅是本公开的一些实施例, 对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其它附图。In order to more clearly illustrate the technical solution of the present disclosure, the following briefly introduces the drawings required for use in the embodiments or prior art descriptions. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
图1是本公开实施例示出的一种提醒目标用户进行移动补能的***架构图;FIG1 is a system architecture diagram of a method for reminding a target user to perform mobile energy replenishment, shown in an embodiment of the present disclosure;
图2是本公开实施例示出的一种提醒目标用户进行移动补能方法的流程图;FIG2 is a flow chart of a method for reminding a target user to perform mobile energy replenishment according to an embodiment of the present disclosure;
图3是本公开实施例示出的一种获取当前场景信息的示意图;FIG3 is a schematic diagram of obtaining current scene information according to an embodiment of the present disclosure;
图4是本公开实施例示出的一种用户查看历史订单界面的示意图;FIG4 is a schematic diagram of an interface for a user to view historical orders according to an embodiment of the present disclosure;
图5是本公开实施例示出的一种移动补能需求模型训练方法的流程图;FIG5 is a flow chart of a method for training a mobile energy replenishment demand model shown in an embodiment of the present disclosure;
图6a是本公开实施例示出的一种移动补能提醒的示意图;FIG6a is a schematic diagram of a mobile energy replenishment reminder shown in an embodiment of the present disclosure;
图6b是本公开实施例示出的一种候选订单信息的示意图;FIG6b is a schematic diagram of candidate order information shown in an embodiment of the present disclosure;
图6c是本公开实施例示出的一种自定义订单信息的示意图;FIG6c is a schematic diagram of customized order information shown in an embodiment of the present disclosure;
图7是本公开实施例示出的一种逻辑回归函数的示意图;FIG7 is a schematic diagram of a logistic regression function shown in an embodiment of the present disclosure;
图8是本公开实施例示出的一种电子设备的示意结构图;FIG8 is a schematic structural diagram of an electronic device shown in an embodiment of the present disclosure;
图9是本公开实施例示出的一种提醒目标用户进行移动补能的装置的框图。FIG. 9 is a block diagram of a device for reminding a target user to perform mobile energy replenishment according to an embodiment of the present disclosure.
具体实施方式Detailed ways
这里将详细地对示例性实施例进行说明,其示例表示在附图中。下面的描述涉及附图时,除非另有表示,不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本公开相一致的所有实施方式。相反,它们仅是与本公开的一些方面相一致的装置和方法的例子。Here, exemplary embodiments will be described in detail, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are only examples of devices and methods consistent with some aspects of the present disclosure.
在本公开使用的术语是仅仅出于描述特定实施例的目的,而非旨在限制本公开。在本公开和所附权利要求书中所使用的单数形式的“一种”、“所述”和“该”也旨在包括多数形式,除非上下文清楚地表示其他含义。还应当理解,本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。The terms used in this disclosure are for the purpose of describing specific embodiments only and are not intended to limit the disclosure. The singular forms of "a", "said" and "the" used in this disclosure and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and/or" used herein refers to and includes any or all possible combinations of one or more associated listed items.
应当理解,尽管在本公开可能采用术语第一、第二、第三等来描述各种信息,但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开。例如,在不脱离本公开范围的情况下,第一信息也可以被称为第二信息,类似地,第二信息也可以被称为第一信息。取决于语境,如在此所使用的词语“如果”可以被解释成为“在……时” 或“当……时”或“响应于确定”。It should be understood that although the terms first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, the first information may also be referred to as the second information without departing from the scope of the present disclosure, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when..." or “when” or “in response to determining.”
下面结合附图对本公开的提醒用户进行移动补能的方法的实施例进行详细描述。The following describes in detail an embodiment of the method for reminding a user to perform mobile energy replenishment according to the present disclosure in conjunction with the accompanying drawings.
为了更好的理解本公开所述的提醒用户进行移动补能的方法,本公开先详细描述何为移动补能设备。在相关技术中,当新能源汽车电量不足时,需要车主驾驶该新能源汽车至预设的充电桩进行补能,即“车找桩”的补能方式,然而,有时车主在抵达充电桩后,该充电桩可能早已无法服务,使得车主不得不寻找下一个充电桩,造成用户体验较差,甚至剩余电量无法到达下一充电桩,造成车辆抛锚。所以,本公开设计了一款移动补能设备,该移动补能设备由一个控制单元和至少一个储能单元组成,所有单元均是可拆卸的,且每一单元的体积较小、具有一定的便携性,相关的运营人员可以在接收到车主下发的移动补能订单后,将所述控制单元和相应数量的储能单元合成移动补能设备,并直接以手提、车载等形式将该移动补能设备携带至对应订单的车辆旁,并使用该设备完成对车辆的补能,所以也可以近似的认为是一种“桩找车”的补能方式,在解决社会就业问题(安排运营人员)的同时,也可以提升车主的用户体验,不再有“低电量找充电桩”的担忧。In order to better understand the method of reminding users to perform mobile charging described in the present disclosure, the present disclosure first describes in detail what a mobile charging device is. In the related art, when a new energy vehicle is low on power, the owner is required to drive the new energy vehicle to a preset charging pile for charging, i.e., the "car looking for pile" charging method. However, sometimes after the owner arrives at the charging pile, the charging pile may have been out of service, forcing the owner to look for the next charging pile, resulting in a poor user experience, or even the remaining power cannot reach the next charging pile, causing the vehicle to break down. Therefore, the present invention designs a mobile energy replenishment device, which consists of a control unit and at least one energy storage unit. All units are detachable, and each unit is small in size and has a certain degree of portability. After receiving the mobile energy replenishment order issued by the car owner, the relevant operating personnel can combine the control unit and the corresponding number of energy storage units into a mobile energy replenishment device, and directly carry the mobile energy replenishment device to the vehicle corresponding to the order in the form of handheld or vehicle-mounted, and use the device to complete the energy replenishment of the vehicle. Therefore, it can also be roughly regarded as a "pile-finding-car" energy replenishment method. While solving the social employment problem (arranging operating personnel), it can also improve the user experience of the car owner, and there is no need to worry about "looking for charging piles due to low battery".
图1是本公开实施例示出的一种提醒用户进行移动补能的***架构图。该架构图可以包括手机10、移动补能设备11和服务器12。FIG1 is a system architecture diagram for reminding a user to perform mobile charging, shown in an embodiment of the present disclosure. The architecture diagram may include a mobile phone 10 , a mobile charging device 11 , and a server 12 .
手机10可以是用户使用的一种类型的电子设备,正常情况下,用户可以通过手机10向移动补能设备11发送移动补能订单,以获取移动补能设备11提供的移动补能服务。服务器12上运行有移动补能需求模型,该模型为根据移动补能设备11进行移动补能的历史订单数据进行训练得到,用于对不同场景下用户进行移动补能需求的倾向性进行预测。The mobile phone 10 may be a type of electronic device used by a user. Under normal circumstances, the user may send a mobile energy replenishment order to the mobile energy replenishment device 11 through the mobile phone 10 to obtain the mobile energy replenishment service provided by the mobile energy replenishment device 11. A mobile energy replenishment demand model is run on the server 12. The model is trained based on the historical order data of mobile energy replenishment performed by the mobile energy replenishment device 11 and is used to predict the tendency of users to perform mobile energy replenishment demand in different scenarios.
服务器12可以获取与用户相关的场景信息,并将场景信息输入至预先训练的移动补能需求模型,以得到移动补能需求值,该移动补能需求值可以体现用户进行移动补能需求的倾向性。在移动补能需求值大于预设阈值,且移动补能设备没有收到用户的移动补能订单的情况下,服务器12可以向手机10发送移动补能提醒,以提醒用户发送移动补能订单。The server 12 can obtain scenario information related to the user and input the scenario information into a pre-trained mobile energy replenishment demand model to obtain a mobile energy replenishment demand value, which can reflect the user's tendency to make mobile energy replenishment demands. When the mobile energy replenishment demand value is greater than a preset threshold and the mobile energy replenishment device has not received the user's mobile energy replenishment order, the server 12 can send a mobile energy replenishment reminder to the mobile phone 10 to remind the user to send a mobile energy replenishment order.
基于上述提醒用户进行移动补能的***架构,由于移动补能需求模型为根据移动补能设备进行移动补能的历史订单数据进行训练得到,所以得到的移动补能需求值可以准确体现目标用户在当前场景下进行移动补能的倾向性,从而在倾向性大于预设阈值的情 况下,向目标用户发送移动补能提醒,避免目标用户忘记发送移动补能订单而导致的缺电问题。Based on the above system architecture for reminding users to perform mobile energy replenishment, since the mobile energy replenishment demand model is trained based on the historical order data of mobile energy replenishment by mobile energy replenishment equipment, the obtained mobile energy replenishment demand value can accurately reflect the target user's tendency to perform mobile energy replenishment in the current scenario, so that when the tendency is greater than the preset threshold, In this case, a mobile charging reminder is sent to the target user to avoid power shortage caused by the target user forgetting to send the mobile charging order.
图2是本公开示例性实施例示出的一种提醒用户进行移动补能方法的流程图,所述移动补能包括通过移动补能设备向用户的新能源车辆进行移动补能,所述方法应用于服务器;具体可以包括如下步骤202至206。FIG2 is a flow chart of a method for reminding a user to perform mobile energy replenishment shown in an exemplary embodiment of the present disclosure. The mobile energy replenishment includes performing mobile energy replenishment on the user's new energy vehicle through a mobile energy replenishment device. The method is applied to a server and may specifically include the following steps 202 to 206 .
步骤202、获取与目标用户相关的当前场景信息。Step 202: Obtain current scene information related to the target user.
目标用户可以指在移动补能设备上注册账号的用户,或者在移动补能设备上记录有历史订单数据的用户。与目标用户相关的当前场景信息可以指目标用户当前所处场景的信息。具体的,当前场景信息可以包括下述至少之一:天气信息、时间信息、位置信息。其中,时间信息为目标用户当前场景下的时刻,例如上午九点二十;位置信息为目标用户当前所处的位置,具体可以为目标用户使用的手机所处的位置,例如“某某市某某县某某小区”;天气信息为目标用户当前位置、当前时刻的天气信息,例如“晴”或者“小雨”。当然,当前场景信息可以为天气信息、时间信息、位置信息的组合,例如“某某小区,上午九点,晴”,本公开并不对当前场景信息的具体内容进行限制。The target user may refer to a user who has registered an account on the mobile charging device, or a user who has recorded historical order data on the mobile charging device. The current scene information related to the target user may refer to information about the scene in which the target user is currently located. Specifically, the current scene information may include at least one of the following: weather information, time information, and location information. Among them, the time information is the moment in the current scene of the target user, such as 9:20 in the morning; the location information is the current location of the target user, which may specifically be the location of the mobile phone used by the target user, such as "a certain community in a certain county in a certain city"; the weather information is the weather information at the current location of the target user and the current moment, such as "sunny" or "light rain". Of course, the current scene information may be a combination of weather information, time information, and location information, such as "a certain community, nine o'clock in the morning, sunny", and the present disclosure does not limit the specific content of the current scene information.
服务器获取当前场景信息的方式有很多种,如图3所示,服务器301可以向目标用户对应的手机302发送场景信息获取请求,手机302上配置有天气模块303、计时模块304以及定位模块305,其中,定位模块305可以定位手机302的位置以获取位置信息,天气模块303可以根据位置信息进一步获取当前位置的天气情况,从而得到天气信息,计时模块304可以记录手机302在接收到场景信息获取请求时的时刻,从而得到时间信息。响应于服务器301发送的场景信息获取请求,手机302可以分别运行天气模块303、计时模块304以及定位模块305,从而得到天气信息、时间信息、位置信息,并将这三种信息作为当前场景信息返回至服务器301。当然,获取场景信息的方式不限于图3所示的方法,例如:场景信息可以由用户手动输入,或者,服务器可以获取目标用户的位置信息,在获得位置信息后向第三方平台获取相关的天气信息以及时间信息。本公开并不对此进行限制。There are many ways for the server to obtain the current scene information. As shown in FIG3 , the server 301 can send a scene information acquisition request to the mobile phone 302 corresponding to the target user. The mobile phone 302 is configured with a weather module 303, a timing module 304, and a positioning module 305, wherein the positioning module 305 can locate the location of the mobile phone 302 to obtain the location information, the weather module 303 can further obtain the weather conditions of the current location according to the location information, thereby obtaining the weather information, and the timing module 304 can record the moment when the mobile phone 302 receives the scene information acquisition request, thereby obtaining the time information. In response to the scene information acquisition request sent by the server 301, the mobile phone 302 can respectively run the weather module 303, the timing module 304, and the positioning module 305, thereby obtaining weather information, time information, and location information, and return these three types of information to the server 301 as the current scene information. Of course, the method of obtaining scene information is not limited to the method shown in FIG3 , for example: the scene information can be manually input by the user, or the server can obtain the location information of the target user, and obtain the relevant weather information and time information from the third-party platform after obtaining the location information. The present disclosure does not limit this.
步骤204、将所述当前场景信息输入至移动补能需求模型,以得到当前场景下所述目标用户的移动补能需求值;其中,所述移动补能需求模型为根据所述移动补能设备进行移动补能的历史订单数据进行训练得到。Step 204: input the current scenario information into a mobile energy replenishment demand model to obtain the mobile energy replenishment demand value of the target user in the current scenario; wherein the mobile energy replenishment demand model is trained based on historical order data of mobile energy replenishment performed by the mobile energy replenishment device.
移动补能需求模型由服务器根据移动补能设备进行移动补能的历史订单数据进行训 练得到,历史订单数据可以包括:目标用户的第一类历史订单数据和/或区别于所述目标用户的其他用户的第二类历史订单数据。其中,在目标用户的第一类历史订单数据未达到预设数量阈值的情况下,移动补能设备需求模型的训练样本来自于:第二类历史订单数据,或者第一类历史订单数据和第二类历史订单数据;在目标用户的第一类历史订单数据达到预设数量阈值的情况下,移动补能设备需求模型的训练样本来自于第一类历史订单数据。The mobile energy replenishment demand model is trained by the server based on the historical order data of mobile energy replenishment by mobile energy replenishment equipment. It can be obtained that the historical order data may include: the first category historical order data of the target user and/or the second category historical order data of other users different from the target user. Wherein, when the first category historical order data of the target user does not reach the preset quantity threshold, the training sample of the mobile charging equipment demand model comes from: the second category historical order data, or the first category historical order data and the second category historical order data; when the first category historical order data of the target user reaches the preset quantity threshold, the training sample of the mobile charging equipment demand model comes from the first category historical order data.
在一实施例中,移动补能设备存储有三人的历史订单数据,分别是小明的一份历史订单数据,小白的五份历史订单数据,小黑的十份历史订单数据。在预设数量阈值为五份历史订单数据的情况下,若获取到小明的当前场景信息,由于小明的历史订单数据的数量小于预设数量阈值,所以此时移动补能需求模型的训练样本来自于小白和小黑的历史订单数据(即第二类历史订单数据),或者小明、小白和小黑的历史订单数据(即第一类历史订单数据和第二类历史订单数据)。若获取到小黑的当前场景信息,由于小黑的历史订单数据的数量大于预设数量阈值,所以移动补能需求模型的训练样本仅来自于小黑的历史订单数据。In one embodiment, the mobile energy replenishment device stores historical order data of three people, namely, one historical order data of Xiao Ming, five historical order data of Xiao Bai, and ten historical order data of Xiao Hei. When the preset quantity threshold is five historical order data, if Xiao Ming's current scene information is obtained, since the number of Xiao Ming's historical order data is less than the preset quantity threshold, the training sample of the mobile energy replenishment demand model at this time comes from the historical order data of Xiao Bai and Xiao Hei (i.e., the second category of historical order data), or the historical order data of Xiao Ming, Xiao Bai and Xiao Hei (i.e., the first category of historical order data and the second category of historical order data). If Xiao Hei's current scene information is obtained, since the number of Xiao Hei's historical order data is greater than the preset quantity threshold, the training sample of the mobile energy replenishment demand model only comes from Xiao Hei's historical order data.
具体的,历史订单数据可以包括历史场景信息,历史场景信息具体可以包括下单时间、下单位置以及下单时的天气信息。图4是本公开示例性实施例示出的一种用户查看历史订单界面的示意图,图4中的移动补能订单被存储于移动补能设备,用户可以通过客户端查看历史订单数据。如图4所示,历史订单数据可以包括:订单编号、下单时间、下单位置、天气、用电量、配送方式、支付方式、支付金额。其中,下单时间、下单位置、天气均属于历史场景信息,该订单的下单时间为“2022-9-12 18:32:40”,下单位置为“xx市xx县xx小区”,天气为“晴”。Specifically, the historical order data may include historical scene information, and the historical scene information may specifically include the order time, the order location, and the weather information when the order was placed. Figure 4 is a schematic diagram of a user viewing a historical order interface shown in an exemplary embodiment of the present disclosure. The mobile energy replenishment order in Figure 4 is stored in the mobile energy replenishment device, and the user can view the historical order data through the client. As shown in Figure 4, the historical order data may include: order number, order time, order location, weather, electricity consumption, delivery method, payment method, and payment amount. Among them, the order time, order location, and weather all belong to historical scene information. The order time of the order is "2022-9-12 18:32:40", the order location is "xx Community, xx County, xx City", and the weather is "Sunny".
服务器可以提取历史订单数据中的历史场景信息作为训练样本,将场景信息和用户的移动补能倾向性相结合,使得服务器可以通过移动补能需求模型计算出当前场景下用户的移动补能需求值。下面结合图5对移动补能需求模型的训练方法进行详细说明,如图5所示,该方法可以包括以下步骤501至505。The server can extract historical scene information from the historical order data as training samples, and combine the scene information with the user's mobile energy replenishment tendency, so that the server can calculate the user's mobile energy replenishment demand value in the current scene through the mobile energy replenishment demand model. The training method of the mobile energy replenishment demand model is described in detail below in conjunction with Figure 5. As shown in Figure 5, the method can include the following steps 501 to 505.
步骤501,将历史场景信息和真实移动补能需求值输入至移动补能需求模型,得到预测移动补能需求值。Step 501: input historical scene information and actual mobile energy replenishment demand value into a mobile energy replenishment demand model to obtain a predicted mobile energy replenishment demand value.
如前所述,历史场景信息可以包括下单时间、下单位置以及天气,由于历史订单是已生成的订单,用户下单概率为1,所以真实移动补能需求值可以默认设置为1,每一组样本包括从一份历史订单数据中提取的历史场景信息和真实移动补能需求值。将训练 样本输入至移动补能需求模型,移动补能需求模型会对历史场景信息进行特征提取,并最终计算出针对历史场景信息的预测移动补能需求值,该预测移动补能需求值代表模型预测的用户在历史场景下进行移动补能的倾向性。As mentioned above, historical scenario information may include order time, order location, and weather. Since historical orders are generated orders, the probability of a user placing an order is 1, so the actual mobile energy replenishment demand value can be set to 1 by default. Each set of samples includes historical scenario information extracted from a set of historical order data and the actual mobile energy replenishment demand value. The sample is input into the mobile energy replenishment demand model, which extracts features from the historical scene information and finally calculates the predicted mobile energy replenishment demand value for the historical scene information. The predicted mobile energy replenishment demand value represents the user's tendency to perform mobile energy replenishment under the historical scene predicted by the model.
步骤502,将预测移动补能需求值和真实移动补能需求值代入代价函数进行计算。具体的代价函数可以为所有样本的预测移动补能需求值和真实移动补能需求值的平方差之和,例如:存在两份样本结果,第一份的预测移动补能需求值为0.8,真实移动补能需求值为1;第二份的预测移动补能需求值为0.75,真实移动补能需求值为1,那么代价函数的计算结果为1和0.8的平方差(0.36)以及1和0.9的平方差之和(0.19),即0.55。当然,代价值的计算方式不限于平方差,方差、平均值都可以用于代价函数的计算,本公开对此并不进行限制。Step 502, substitute the predicted mobile energy replenishment demand value and the actual mobile energy replenishment demand value into the cost function for calculation. The specific cost function can be the sum of the square differences between the predicted mobile energy replenishment demand value and the actual mobile energy replenishment demand value of all samples. For example: there are two sample results, the predicted mobile energy replenishment demand value of the first one is 0.8, and the actual mobile energy replenishment demand value is 1; the predicted mobile energy replenishment demand value of the second one is 0.75, and the actual mobile energy replenishment demand value is 1, then the calculation result of the cost function is the square difference between 1 and 0.8 (0.36) and the sum of the square differences between 1 and 0.9 (0.19), that is, 0.55. Of course, the calculation method of the cost value is not limited to the square difference, and the variance and the average value can be used to calculate the cost function, and the present disclosure does not limit this.
步骤503,计算结果是否大于预设代价值。Step 503: whether the calculation result is greater than a preset cost value.
预测移动补能需求值和真实移动补能需求值的结果越接近,则代价函数的计算结果越小,在代价函数的计算结果大于预设代价值的情况下,移动补能需求模型还不够精确,所以进入步骤504,调整移动补能需求模型的参数。在调整继续进行训练,直至代价函数的计算结果小于预设代价值。在代价函数的计算结果未达到预设代价值的情况下,移动补能需求模型足够精确,所以可以进入步骤505,结束训练。预设代价值可以人为设置,也可以根据样本的数量进行设置,例如:在样本数量很大时,可以将预设代价值设置的尽量小,以此提高移动补能需求模型的精确度;在样本数量较小时,可以将预设代价值设置的偏大,避免训练过程过于冗长。The closer the predicted mobile energy replenishment demand value is to the actual mobile energy replenishment demand value, the smaller the calculated result of the cost function is. When the calculated result of the cost function is greater than the preset cost value, the mobile energy replenishment demand model is not accurate enough, so enter step 504 to adjust the parameters of the mobile energy replenishment demand model. Continue training during adjustment until the calculated result of the cost function is less than the preset cost value. When the calculated result of the cost function does not reach the preset cost value, the mobile energy replenishment demand model is accurate enough, so enter step 505 to end the training. The preset cost value can be set manually or according to the number of samples. For example, when the number of samples is large, the preset cost value can be set as small as possible to improve the accuracy of the mobile energy replenishment demand model; when the number of samples is small, the preset cost value can be set larger to avoid the training process being too lengthy.
图5所示的实施例提供了一种移动补能需求模型的训练方法,通过将历史订单数据的历史场景信息作为训练样本对模型进行训练,使得训练出的移动补能需求模型更加精确、更贴合于用户的下单习惯,提升了用户的使用体验。The embodiment shown in FIG5 provides a method for training a mobile energy replenishment demand model. By using the historical scenario information of the historical order data as training samples to train the model, the trained mobile energy replenishment demand model is more accurate and more in line with the user's ordering habits, thereby improving the user's usage experience.
步骤206、在所述移动补能需求值达到预设阈值,且所述移动补能设备未收到所述目标用户的移动补能订单的情况下,向所述目标用户发送移动补能提醒。Step 206: When the mobile energy replenishment demand value reaches a preset threshold and the mobile energy replenishment device has not received the mobile energy replenishment order of the target user, send a mobile energy replenishment reminder to the target user.
预设阈值可以由服务器的管理员进行人为设置,例如可以将预设阈值设置为0.95,在移动补能需求模型计算出的移动补能需求值达到0.95的情况下,说明目标用户在当前场景下有移动补能需求的概率达到了预设阈值,若此时移动补能设备没有收到目标用户发送的移动补能订单,则可以向用户发送移动补能提醒,以提醒用户进行移动补能。The preset threshold can be manually set by the administrator of the server. For example, the preset threshold can be set to 0.95. When the mobile energy replenishment demand value calculated by the mobile energy replenishment demand model reaches 0.95, it means that the probability that the target user has a mobile energy replenishment demand in the current scenario has reached the preset threshold. If the mobile energy replenishment device does not receive the mobile energy replenishment order sent by the target user at this time, a mobile energy replenishment reminder can be sent to the user to remind the user to perform mobile energy replenishment.
该实施例通过获取与目标用户相关的当前场景信息,并将当前场景信息输入至移动 补能需求模型,来得到当前场景下目标用户的移动补能需求值。由于移动补能需求模型为根据移动补能设备进行移动补能的历史订单数据进行训练得到,所以移动补能需求模型可以根据目标用户的下单习惯推测出目标用户在当前场景下进行移动补能需求值,从而在移动补能需求值大于预设阈值的情况下,向目标用户发送移动补能提醒,避免目标用户忘记发送移动补能订单而导致的缺电问题。This embodiment obtains current scene information related to the target user and inputs the current scene information into the mobile The energy replenishment demand model is used to obtain the mobile energy replenishment demand value of the target user in the current scenario. Since the mobile energy replenishment demand model is trained based on the historical order data of mobile energy replenishment by mobile energy replenishment equipment, the mobile energy replenishment demand model can infer the mobile energy replenishment demand value of the target user in the current scenario based on the target user's ordering habits, so that when the mobile energy replenishment demand value is greater than the preset threshold, a mobile energy replenishment reminder is sent to the target user to avoid power shortage caused by the target user forgetting to send a mobile energy replenishment order.
在一实施例中,响应于所述目标用户针对所述移动补能提醒返回的确认信息,生成移动补能订单;将所述移动补能订单发送至所述移动补能设备,以使所述移动补能设备向所述目标用户的新能源车辆进行移动补能。In one embodiment, in response to the confirmation information returned by the target user in response to the mobile energy replenishment reminder, a mobile energy replenishment order is generated; the mobile energy replenishment order is sent to the mobile energy replenishment device, so that the mobile energy replenishment device performs mobile energy replenishment on the new energy vehicle of the target user.
上述移动补能提醒不仅具备提醒用户进行移动补能的功能,还可以包括候选订单信息,以供用户选择。在一实施例中,将所述目标用户的当前场景信息输入至移动补能订单信息模型,以得到当前场景下所述目标用户的候选订单信息;其中,所述移动补能订单信息模型根据所述移动补能设备上传的历史订单数据进行训练得到;生成所述移动补能提醒,所述移动补能提醒包含所述候选订单信息;其中,所述候选订单信息用于:在所述目标用户针对所述移动补能提醒返回确认信息的情况下,自动填充至相应生成的移动补能订单中。具体的,候选订单信息可以包括用电量。在上述优化过程中,服务器可以通过目标用户的反馈仅对移动补能需求模型进行优化,也可以通过目标用户的反馈仅对移动补能订单信息模型进行优化,还可以通过目标用户的反馈分别对移动补能需求模型和移动补能订单信息模型进行优化。The above-mentioned mobile energy replenishment reminder not only has the function of reminding users to perform mobile energy replenishment, but also can include candidate order information for users to choose. In one embodiment, the current scenario information of the target user is input into the mobile energy replenishment order information model to obtain the candidate order information of the target user in the current scenario; wherein the mobile energy replenishment order information model is trained according to the historical order data uploaded by the mobile energy replenishment device; the mobile energy replenishment reminder is generated, and the mobile energy replenishment reminder includes the candidate order information; wherein the candidate order information is used to: when the target user returns confirmation information for the mobile energy replenishment reminder, automatically fill in the corresponding generated mobile energy replenishment order. Specifically, the candidate order information may include electricity consumption. In the above-mentioned optimization process, the server can optimize only the mobile energy replenishment demand model through the feedback of the target user, or can optimize only the mobile energy replenishment order information model through the feedback of the target user, or can optimize the mobile energy replenishment demand model and the mobile energy replenishment order information model respectively through the feedback of the target user.
在图4所示的移动补能订单中,除历史场景信息之外,移动补能订单中还可以包括用电量、配送方式、支付方式等订单信息,服务器可以将历史订单数据中的历史订单信息作为训练样本,对移动补能订单信息模型进行训练。在服务器将当前场景信息输入至训练得到的移动补能订单信息模型后,可以得到当前场景下目标用户可能使用的候选订单信息。服务器发送至目标用户的移动补能提醒可以包括该候选订单信息,使得目标用户不用手动输入订单信息即可生成移动补能订单。In the mobile energy replenishment order shown in FIG4 , in addition to the historical scenario information, the mobile energy replenishment order may also include order information such as power consumption, delivery method, and payment method. The server may use the historical order information in the historical order data as training samples to train the mobile energy replenishment order information model. After the server inputs the current scenario information into the trained mobile energy replenishment order information model, it can obtain the candidate order information that the target user may use in the current scenario. The mobile energy replenishment reminder sent by the server to the target user may include the candidate order information, so that the target user can generate a mobile energy replenishment order without manually entering the order information.
下面结合图6a、6b、6c对移动补能订单提醒进行详细说明,如图6a所示,服务器可以将移动补能提醒发送至目标用户对应的手机上,通过手机将“移动补能提醒您目前是否有移动补能需求?”的字样呈现至目标用户。用户可以点击“不,谢谢了”按钮,拒绝在当前场景下进行移动补能,也可以点击“需要”按钮,确认有移动补能需求。在目标用户点击“需要”按钮的情况下,界面将会跳转至图6b所示的界面,手机将服务器发送的候选订单信息呈现至目标用户,由目标用户对是否使用候选订单信息进行确认。 若目标用户选择使用候选订单信息,则可以点击“提交订单”按钮,若目标用户不选择使用候选订单信息,则可以点击“自定义”按钮,自定义移动补能订单的订单信息。在目标用户点击“自定义”按钮的情况下,界面将会跳转至图6c所示的界面,用户可以手动输入用电量、配送方式、支付方式等信息,在填写完订单信息后,可以点击“提交订单”按钮提交订单。The mobile energy replenishment order reminder is described in detail below in conjunction with Figures 6a, 6b, and 6c. As shown in Figure 6a, the server can send the mobile energy replenishment reminder to the mobile phone corresponding to the target user, and present the words "Mobile energy replenishment reminds you whether you currently have a mobile energy replenishment demand?" to the target user through the mobile phone. The user can click the "No, thank you" button to refuse mobile energy replenishment in the current scenario, or click the "Need" button to confirm that there is a need for mobile energy replenishment. When the target user clicks the "Need" button, the interface will jump to the interface shown in Figure 6b, and the mobile phone will present the candidate order information sent by the server to the target user, and the target user will confirm whether to use the candidate order information. If the target user chooses to use the candidate order information, he can click the "Submit Order" button. If the target user does not choose to use the candidate order information, he can click the "Customize" button to customize the order information of the mobile energy replenishment order. When the target user clicks the "Customize" button, the interface will jump to the interface shown in Figure 6c. The user can manually enter information such as power consumption, delivery method, and payment method. After filling in the order information, he can click the "Submit Order" button to submit the order.
该实施例通过移动补能订单信息模型,得到当前场景下目标用户可能使用的候选订单信息,使得用户无需手动输入订单信息即可生成移动补能订单,提升了用户的使用体验。This embodiment obtains candidate order information that may be used by the target user in the current scenario through the mobile charging order information model, so that the user can generate a mobile charging order without manually entering the order information, thereby improving the user experience.
在移动补能需求模型的训练过程中,服务器可以根据代价函数的计算结果对模型参数进行调整,从而提高模型的准确度。服务器还可以根据目标用户对移动补能提醒的反馈对模型参数进行调整,以优化模型。在一实施例中,接收所述目标用户对所述移动补能提醒的反馈;根据所述目标用户的反馈对所述移动补能需求模型和/或所述移动补能订单信息模型进行优化。服务器可以通过逻辑回归函数对移动补能需求模型进行优化,如图7所示,Y轴代表代价值,X轴代表移动补能需求值。如图6a所示,目标用户存在两种反馈情况,一种代表目标用户需要进行移动补能,一种代表目标用户不需要进行移动补能。图7中实线呈现了在目标用户需要进行移动补能的情况下,得到的移动补能需求值越接近1(即真实移动补能需求值),则代价值越小,说明模型准确度较高,越不需要优化;虚线代表在目标用户不需要进行移动补能的情况下,得到的移动补能需求值越大,则代价值越大,说明模型准确度较低,越需要优化。移动补能订单信息模型的优化过程与移动补能需求模型的优化过程类似,同样通过代价函数计算候选订单信息和目标用户自定义订单信息的代价值,以此来对移动补能订单信息模型进行优化,此处不再赘述。During the training process of the mobile energy replenishment demand model, the server can adjust the model parameters according to the calculation result of the cost function, so as to improve the accuracy of the model. The server can also adjust the model parameters according to the feedback of the target user on the mobile energy replenishment reminder to optimize the model. In one embodiment, the feedback of the target user on the mobile energy replenishment reminder is received; the mobile energy replenishment demand model and/or the mobile energy replenishment order information model are optimized according to the feedback of the target user. The server can optimize the mobile energy replenishment demand model through a logistic regression function, as shown in FIG7, where the Y axis represents the cost value and the X axis represents the mobile energy replenishment demand value. As shown in FIG6a, there are two feedback situations of the target user, one represents that the target user needs to perform mobile energy replenishment, and the other represents that the target user does not need to perform mobile energy replenishment. The solid line in FIG7 shows that when the target user needs to perform mobile energy replenishment, the closer the mobile energy replenishment demand value is to 1 (i.e., the real mobile energy replenishment demand value), the smaller the cost value is, indicating that the model accuracy is higher and the optimization is less needed; the dotted line represents that when the target user does not need to perform mobile energy replenishment, the larger the mobile energy replenishment demand value is, the larger the cost value is, indicating that the model accuracy is lower and the optimization is more needed. The optimization process of the mobile energy replenishment order information model is similar to that of the mobile energy replenishment demand model. The cost function is also used to calculate the cost value of the candidate order information and the target user's customized order information to optimize the mobile energy replenishment order information model. It will not be repeated here.
与前述方法的实施例相对应,本公开还提供了装置、电子设备以及车辆的实施例。Corresponding to the embodiments of the aforementioned methods, the present disclosure also provides embodiments of a device, an electronic device, and a vehicle.
图8是本公开实施例示出的一种电子设备的示意结构图。请参考图8,在硬件层面,该设备包括处理器801、网络接口802、内存803、非易失性存储器804以及内部总线805,当然还可能包括其他业务所需要的硬件。本公开一个或多个实施例可以基于软件方式来实现,比如由处理器801从非易失性存储器804中读取对应的计算机程序到内存803中然后运行。当然,除了软件实现方式之外,本公开一个或多个实施例并不排除其他实现方式,比如逻辑器件抑或软硬件结合的方式等等,也就是说以下处理流程的执行主体并不限定于各个逻辑单元,也可以是硬件或逻辑器件。 FIG8 is a schematic structural diagram of an electronic device shown in an embodiment of the present disclosure. Please refer to FIG8. At the hardware level, the device includes a processor 801, a network interface 802, a memory 803, a non-volatile memory 804, and an internal bus 805, and may also include hardware required for other services. One or more embodiments of the present disclosure can be implemented based on software, such as the processor 801 reading the corresponding computer program from the non-volatile memory 804 into the memory 803 and then running it. Of course, in addition to the software implementation, one or more embodiments of the present disclosure do not exclude other implementations, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.
图9为本公开实施例示出的一种提醒用户进行移动补能的装置的框图。参考图9,该装置可以应用于如图8所示的设备中,以实现本公开所述的技术方案,所述移动补能包括通过移动补能设备向用户的新能源车辆进行移动补能,所述装置应用于服务器;所述装置包括:FIG9 is a block diagram of a device for reminding a user to perform mobile energy replenishment shown in an embodiment of the present disclosure. Referring to FIG9, the device can be applied to the device shown in FIG8 to implement the technical solution described in the present disclosure, wherein the mobile energy replenishment includes performing mobile energy replenishment on the user's new energy vehicle through a mobile energy replenishment device, and the device is applied to a server; the device includes:
获取单元901,用于获取与目标用户相关的当前场景信息;An acquisition unit 901 is used to acquire current scene information related to a target user;
第一输入单元902,用于将所述当前场景信息输入至移动补能需求模型,以得到当前场景下所述目标用户的移动补能需求值;其中,所述移动补能需求模型为根据所述移动补能设备进行移动补能的历史订单数据进行训练得到;The first input unit 902 is used to input the current scene information into the mobile energy replenishment demand model to obtain the mobile energy replenishment demand value of the target user in the current scene; wherein the mobile energy replenishment demand model is trained according to the historical order data of the mobile energy replenishment of the mobile energy replenishment device;
第一发送单元903,用于在所述移动补能需求值达到预设阈值,且所述移动补能设备未收到所述目标用户的移动补能订单的情况下,向所述目标用户发送移动补能提醒。The first sending unit 903 is configured to send a mobile energy replenishment reminder to the target user when the mobile energy replenishment demand value reaches a preset threshold and the mobile energy replenishment device has not received the mobile energy replenishment order of the target user.
可选的,所述当前场景信息包括下述至少之一:天气信息、时间信息或位置信息。Optionally, the current scene information includes at least one of the following: weather information, time information or location information.
可选的,所述历史订单数据包括下述至少之一:所述目标用户的第一类历史订单数据或区别于所述目标用户的其他用户的第二类历史订单数据;其中:Optionally, the historical order data includes at least one of the following: first-category historical order data of the target user or second-category historical order data of other users different from the target user; wherein:
在所述目标用户的第一类历史订单数据未达到预设数量阈值的情况下,所述移动补能设备需求模型的训练样本来自于:所述第二类历史订单数据,或者所述第一类历史订单数据和所述第二类历史订单数据;When the first type of historical order data of the target user does not reach a preset quantity threshold, the training sample of the mobile charging device demand model comes from: the second type of historical order data, or the first type of historical order data and the second type of historical order data;
在所述目标用户的第一类历史订单数据达到预设数量阈值的情况下,所述移动补能设备需求模型的训练样本来自于所述第一类历史订单数据。When the first type of historical order data of the target user reaches a preset quantity threshold, the training samples of the mobile charging equipment demand model come from the first type of historical order data.
可选的,所述装置还包括:Optionally, the device further comprises:
第二输入单元904,用于将所述目标用户的当前场景信息输入至移动补能订单信息模型,以得到当前场景下所述目标用户的候选订单信息;其中,所述移动补能订单信息模型根据所述移动补能设备上传的历史订单数据进行训练得到;The second input unit 904 is used to input the current scenario information of the target user into the mobile charging order information model to obtain the candidate order information of the target user in the current scenario; wherein the mobile charging order information model is trained according to the historical order data uploaded by the mobile charging device;
第一生成单元905,用于生成所述移动补能提醒,所述移动补能提醒包含所述候选订单信息;其中,所述候选订单信息用于:在所述目标用户针对所述移动补能提醒返回确认信息的情况下,自动填充至相应生成的移动补能订单中。The first generating unit 905 is used to generate the mobile energy replenishment reminder, and the mobile energy replenishment reminder includes the candidate order information; wherein the candidate order information is used to: when the target user returns confirmation information for the mobile energy replenishment reminder, automatically fill in the corresponding generated mobile energy replenishment order.
可选的,所述装置还包括:Optionally, the device further comprises:
接收单元906,用于接收所述目标用户对所述移动补能提醒的反馈;The receiving unit 906 is configured to receive feedback from the target user on the mobile energy replenishment reminder;
优化单元907,用于根据所述目标用户的反馈对所述移动补能需求模型或所述移动 补能订单信息模型中的至少一个进行优化。The optimization unit 907 is used to optimize the mobile energy replenishment demand model or the mobile energy replenishment demand model according to the feedback of the target user. At least one of the energy replenishment order information models is optimized.
可选的,所述候选订单信息包括:用电量。Optionally, the candidate order information includes: electricity consumption.
可选的,所述装置还包括:Optionally, the device further comprises:
第二生成单元908,用于响应于所述目标用户针对所述移动补能提醒返回的确认信息,生成移动补能订单;A second generating unit 908 is configured to generate a mobile energy replenishment order in response to confirmation information returned by the target user in response to the mobile energy replenishment reminder;
第二发送单元909,用于将所述移动补能订单发送至所述移动补能设备,以使所述移动补能设备向所述目标用户的新能源车辆进行移动补能。The second sending unit 909 is used to send the mobile energy replenishment order to the mobile energy replenishment device, so that the mobile energy replenishment device performs mobile energy replenishment for the new energy vehicle of the target user.
虽然本公开包含许多具体实施细节,但是这些不应被解释为限制任何发明的范围或所要求保护的范围,而是主要用于描述特定发明的具体实施例的特征。本公开内在多个实施例中描述的某些特征也可以在单个实施例中被组合实施。另一方面,在单个实施例中描述的各种特征也可以在多个实施例中分开实施或以任何合适的子组合来实施。此外,虽然特征可以如上所述在某些组合中起作用并且甚至最初如此要求保护,但是来自所要求保护的组合中的一个或多个特征在一些情况下可以从该组合中去除,并且所要求保护的组合可以指向子组合或子组合的变型。Although the present disclosure includes many specific implementation details, these should not be interpreted as limiting the scope of any invention or the scope of the claimed protection, but are mainly used to describe the features of the specific embodiments of specific inventions. Certain features described in multiple embodiments within the present disclosure may also be implemented in combination in a single embodiment. On the other hand, the various features described in a single embodiment may also be implemented separately in multiple embodiments or in any suitable sub-combination. In addition, although features may work in certain combinations as described above and even initially claimed as such, one or more features from the claimed combination may be removed from the combination in some cases, and the claimed combination may point to a sub-combination or a variation of a sub-combination.
类似地,虽然在附图中以特定顺序描绘了操作,但是这不应被理解为要求这些操作以所示的特定顺序执行或顺次执行、或者要求所有例示的操作被执行,以实现期望的结果。在某些情况下,多任务和并行处理可能是有利的。此外,上述实施例中的各种***模块和组件的分离不应被理解为在所有实施例中均需要这样的分离,并且应当理解,所描述的程序组件和***通常可以一起集成在单个软件产品中,或者封装成多个软件产品。Similarly, although operations are depicted in a particular order in the accompanying drawings, this should not be understood as requiring that these operations be performed in the particular order shown or performed sequentially, or requiring that all illustrated operations be performed to achieve the desired results. In some cases, multitasking and parallel processing may be advantageous. In addition, the separation of various system modules and components in the above-described embodiments should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product, or packaged into multiple software products.
由此,主题的特定实施例已被描述。其他实施例在所附权利要求书的范围以内。在某些情况下,权利要求书中记载的动作可以以不同的顺序执行并且仍实现期望的结果。此外,附图中描绘的处理并非必需所示的特定顺序或顺次顺序,以实现期望的结果。在某些实现中,多任务和并行处理可能是有利的。Thus, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the particular order or sequential order shown to achieve the desired results. In some implementations, multitasking and parallel processing may be advantageous.
以上所述仅为本公开的较佳实施例而已,并不用以限制本公开,凡在本公开的精神和原则之内,所做的任何修改、等同替换、改进等,均应包含在本公开保护的范围之内。 The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present disclosure shall be included in the scope of protection of the present disclosure.

Claims (10)

  1. 一种提醒用户进行移动补能的方法,所述移动补能包括通过移动补能设备向用户的新能源车辆进行移动补能,所述方法由服务器执行;所述方法包括:A method for reminding a user to perform mobile energy replenishment, wherein the mobile energy replenishment includes performing mobile energy replenishment on the user's new energy vehicle through a mobile energy replenishment device, and the method is executed by a server; the method includes:
    获取与目标用户相关的当前场景信息;Get current scene information related to the target user;
    将所述当前场景信息输入至移动补能需求模型,以得到所述当前场景下所述目标用户的移动补能需求值;其中,所述移动补能需求模型为根据所述移动补能设备进行移动补能的历史订单数据进行训练得到;Inputting the current scenario information into a mobile energy replenishment demand model to obtain the mobile energy replenishment demand value of the target user in the current scenario; wherein the mobile energy replenishment demand model is trained based on historical order data of mobile energy replenishment performed by the mobile energy replenishment device;
    在所述移动补能需求值达到预设阈值,且所述移动补能设备未收到所述目标用户的移动补能订单的情况下,向所述目标用户发送移动补能提醒。When the mobile energy replenishment demand value reaches a preset threshold and the mobile energy replenishment device has not received the mobile energy replenishment order of the target user, a mobile energy replenishment reminder is sent to the target user.
  2. 根据权利要求1所述的方法,其特征在于,所述当前场景信息包括下述至少之一:天气信息、时间信息或位置信息。The method according to claim 1 is characterized in that the current scene information includes at least one of the following: weather information, time information or location information.
  3. 根据权利要求1所述的方法,其特征在于,所述历史订单数据包括下述至少之一:所述目标用户的第一类历史订单数据或区别于所述目标用户的其他用户的第二类历史订单数据;其中:The method according to claim 1, characterized in that the historical order data comprises at least one of the following: first-category historical order data of the target user or second-category historical order data of other users different from the target user; wherein:
    在所述目标用户的第一类历史订单数据未达到预设数量阈值的情况下,所述移动补能设备需求模型的训练样本来自于:When the first type of historical order data of the target user does not reach the preset quantity threshold, the training samples of the mobile charging equipment demand model come from:
    所述第二类历史订单数据,或者The second type of historical order data, or
    所述第一类历史订单数据和所述第二类历史订单数据;The first category of historical order data and the second category of historical order data;
    在所述目标用户的第一类历史订单数据达到预设数量阈值的情况下,所述移动补能设备需求模型的训练样本来自于所述第一类历史订单数据。When the first type of historical order data of the target user reaches a preset quantity threshold, the training samples of the mobile charging equipment demand model come from the first type of historical order data.
  4. 根据权利要求1所述的方法,其特征在于,还包括:The method according to claim 1, further comprising:
    将所述目标用户的所述当前场景信息输入至移动补能订单信息模型,以得到所述当前场景下所述目标用户的候选订单信息;其中,所述移动补能订单信息模型根据所述移动补能设备上传的历史订单数据进行训练得到;Inputting the current scenario information of the target user into a mobile charging order information model to obtain candidate order information of the target user in the current scenario; wherein the mobile charging order information model is trained based on historical order data uploaded by the mobile charging device;
    生成所述移动补能提醒,所述移动补能提醒包含所述候选订单信息;其中,所述候选订单信息用于:在所述目标用户针对所述移动补能提醒返回确认信息的情况下,自动填充至相应生成的移动补能订单中。Generate the mobile energy replenishment reminder, which includes the candidate order information; wherein the candidate order information is used to automatically fill in the corresponding generated mobile energy replenishment order when the target user returns confirmation information for the mobile energy replenishment reminder.
  5. 根据权利要求4所述的方法,其特征在于,还包括:The method according to claim 4, further comprising:
    接收所述目标用户对所述移动补能提醒的反馈;receiving feedback from the target user on the mobile energy replenishment reminder;
    根据所述目标用户的反馈对所述移动补能需求模型或所述移动补能订单信息模型中的至少一个进行优化。 At least one of the mobile energy replenishment demand model or the mobile energy replenishment order information model is optimized according to the feedback of the target user.
  6. 根据权利要求4所述的方法,其特征在于,所述候选订单信息包括:用电量。The method according to claim 4, characterized in that the candidate order information includes: electricity consumption.
  7. 根据权利要求1所述的方法,其特征在于,还包括:The method according to claim 1, further comprising:
    响应于所述目标用户针对所述移动补能提醒返回的确认信息,生成移动补能订单;In response to confirmation information returned by the target user in response to the mobile energy replenishment reminder, generating a mobile energy replenishment order;
    将所述移动补能订单发送至所述移动补能设备,以使所述移动补能设备向所述目标用户的新能源车辆进行移动补能。The mobile energy replenishment order is sent to the mobile energy replenishment device, so that the mobile energy replenishment device performs mobile energy replenishment for the new energy vehicle of the target user.
  8. 一种提醒用户进行移动补能的装置,所述移动补能包括通过移动补能设备向用户的新能源车辆进行移动补能,所述装置应用于服务器;所述装置包括:A device for reminding a user to perform mobile energy replenishment, wherein the mobile energy replenishment includes performing mobile energy replenishment on the user's new energy vehicle through a mobile energy replenishment device, and the device is applied to a server; the device includes:
    获取单元,用于获取与目标用户相关的当前场景信息;An acquisition unit, used to acquire current scene information related to a target user;
    输入单元,用于将所述当前场景信息输入至移动补能需求模型,以得到所述当前场景下所述目标用户的移动补能需求值;其中,所述移动补能需求模型为根据所述移动补能设备进行移动补能的历史订单数据进行训练得到;An input unit, used to input the current scenario information into a mobile energy replenishment demand model to obtain a mobile energy replenishment demand value of the target user in the current scenario; wherein the mobile energy replenishment demand model is trained based on historical order data of mobile energy replenishment performed by the mobile energy replenishment device;
    发送单元,用于在所述移动补能需求值达到预设阈值,且所述移动补能设备未收到所述目标用户的移动补能订单的情况下,向所述目标用户发送移动补能提醒。The sending unit is used to send a mobile energy replenishment reminder to the target user when the mobile energy replenishment demand value reaches a preset threshold and the mobile energy replenishment device has not received the mobile energy replenishment order of the target user.
  9. 一种电子设备,包括:An electronic device, comprising:
    处理器;processor;
    用于存储处理器可执行指令的存储器;a memory for storing processor-executable instructions;
    其中,所述处理器通过运行所述可执行指令以实现如权利要求1至7中任一项所述的方法。The processor implements the method according to any one of claims 1 to 7 by running the executable instructions.
  10. 一种计算机可读存储介质,其上存储有计算机程序,所述程序被处理器执行时实现如权利要求1至7中任一所述方法。 A computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method as claimed in any one of claims 1 to 7.
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