CN113660461B - Method, device and equipment for evaluating performance of video passing equipment - Google Patents
Method, device and equipment for evaluating performance of video passing equipment Download PDFInfo
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- H—ELECTRICITY
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
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- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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- G—PHYSICS
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Abstract
The application discloses a method, a device and equipment for evaluating performance of video passing equipment, wherein a plurality of pieces of passing data corresponding to vehicles, which are uploaded by the video passing equipment, are obtained, the pieces of passing data are analyzed to obtain at least one performance index score of the video passing equipment, and the performance score for evaluating the performance of the video passing equipment is determined according to the at least one performance index score and a corresponding weight coefficient. Judging whether the equipment needs to be replaced by new equipment, fully excavating the efficiency of the equipment, and saving the input cost of the equipment.
Description
Technical Field
The invention relates to the field of big data analysis, in particular to a method, a device and equipment for evaluating performance of video passing equipment.
Background
With the continuous expansion of the scale of the urban passing video equipment, the equipment inspection operation and maintenance cost is greatly increased, meanwhile, the number of the passing data of the equipment is rapidly increased due to the annual increase of the maintenance quantity of the urban motor vehicle, and the passing data of the city is stored and inquired by the passing large data platform sequentially built by each traffic management department, but the passing data is only used for the aspects of passing inquiry, passing quantity statistics, congestion analysis and the like at present, and more data value still exists and can be mined. In addition, the current equipment replacement is based on the traditional equipment account and the service life to carry out batch replacement, and the effective acting time of equipment is greatly improved due to technical progress and improvement of equipment quality, so that the equipment efficiency cannot be accurately and fully realized in the existing mode, and the great equipment investment cost is caused.
Disclosure of Invention
The invention provides a method, a device and equipment for evaluating the performance of video passing equipment, which are used for solving the problem of great equipment input cost caused by the fact that the existing video passing equipment cannot accurately and fully realize the equipment performance.
In a first aspect, an embodiment of the present application provides a method for evaluating performance of a video passing device, including:
acquiring a plurality of pieces of vehicle passing data corresponding to vehicles, which are uploaded by video vehicle passing equipment;
analyzing the plurality of pieces of vehicle passing data to obtain at least one performance index score of the video vehicle passing equipment;
and determining a performance score for evaluating the performance of the video passing equipment according to the at least one performance index score and the corresponding weight coefficient.
In a possible embodiment, analyzing the plurality of pieces of passing data to obtain at least one performance indicator score of the video passing device includes at least one step of:
obtaining uploading delay time by analyzing the difference value of the acquired data time and the stored data time in the passing data, and obtaining the score of timeliness performance indexes according to the uploading delay time;
obtaining the score of the effectiveness performance index according to the result of the analyzed invalid license plate information by analyzing the license plate information in the passing data;
and determining the video capturing rate of the video passing equipment according to the total number of the passing data, and obtaining the score of the integrity performance index according to the video capturing rate.
In one possible embodiment, before parsing the plurality of pieces of passing data, at least one of the following is further included:
screening at least one piece of passing data with incomplete data in the plurality of pieces of passing data;
screening at least one piece of passing data acquired when the clock of the video passing equipment is abnormal according to the data acquisition time in the pieces of passing data;
screening at least one piece of repeated passing data in the plurality of pieces of passing data;
and screening at least one piece of passing data of which the vehicle type is not satisfactory in the pieces of passing data.
In one possible embodiment, the obtaining the uploading delay time by analyzing the difference between the acquired data time and the stored data time in the passing data, and obtaining the score of the timeliness performance index according to the uploading delay time includes:
determining an uploading delay time average value and a standard deviation according to the uploading delay time corresponding to each piece of passing data and the total number of the passing data;
determining an uploading delay time range according to the uploading delay time average value and the standard deviation;
filtering at least one piece of vehicle-passing data with uploading delay time not in the uploading delay time range;
and obtaining the score of the timeliness performance index corresponding to the average value by utilizing the average value of the uploading delay time of the plurality of pieces of traffic data obtained after filtering.
In one possible embodiment, the step of obtaining the score of the validity performance index according to the result of resolving the invalid license plate information by resolving the license plate information in the passing data includes:
according to license plate standard, statistics of passing data U which does not accord with the license plate standard 1 ；
Statistics of at least one passing data U failing to correctly identify vehicle number plate 2 ；
According to the instituteThe U is 1 、U 2 And the total number of the passing data is obtained, and the score of the video passing equipment passing data effectiveness performance index is obtained.
In a possible embodiment, analyzing a passing video uploaded by the video passing equipment, and performing video analysis on the passing video to determine the corresponding total number of passing vehicles;
calculating the capturing rate of the video passing equipment according to the total number of passing vehicles and the total number of passing data;
and obtaining the score of the integrity performance index corresponding to the capture rate according to the capture rate.
In one possible embodiment, in response to a performance viewing instruction, determining performance scores of video passing devices in different level areas, and displaying the performance scores of the video passing devices in the different level areas in combination with a Geographic Information System (GIS) map, wherein the different level areas are preset or determined according to the performance viewing instruction.
In a second aspect, an embodiment of the present application provides an apparatus for evaluating performance of a video passing device, including:
the data acquisition module is used for acquiring a plurality of pieces of vehicle passing data corresponding to the vehicles, which are uploaded by the video vehicle passing equipment;
the data analysis module is used for analyzing the plurality of pieces of vehicle passing data to obtain at least one performance index score of the video vehicle passing equipment;
and the performance score determining module is used for determining and evaluating the performance score of the video passing equipment according to the at least one performance index score and the corresponding weight coefficient.
In a third aspect, an embodiment of the present application provides an apparatus for evaluating performance of a video passing apparatus, including:
at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute any method for evaluating performance of video passing equipment provided by the embodiment of the application.
In a fourth aspect, embodiments of the present application provide a computer storage medium storing a computer program for causing a computer to execute the method for evaluating performance of any one of the video passing devices provided in the embodiments of the present application.
According to the evaluation method, the device and the equipment for the performance of the video passing equipment, the operation condition of the video passing equipment is evaluated according to at least one performance index score of the video passing equipment, a real and effective basis is provided for optimizing the operation and maintenance of the equipment, the traditional regular inspection investment is reduced, the accurate operation and maintenance of the equipment are realized, meanwhile, a reference is provided for the updating of the old equipment, the traditional equipment account service life is optimized, the high investment caused by the equipment is updated in batches according to the equipment account service life, and more accurate and reasonable equipment replacement updating is realized according to the operation effect of the analysis equipment and the equipment account service life, so that the updating and updating cost of the equipment is greatly reduced, and the cost is reasonably reduced.
Drawings
Fig. 1 is an application scene diagram of a video passing device.
Fig. 2 is a flow chart of a method for evaluating performance of video passing equipment.
FIG. 3 is a block diagram of an electronic device according to an embodiment of the present invention
Fig. 4 is a diagram of an evaluation device for performance of a video passing device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and thoroughly described below with reference to the accompanying drawings. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In view of the problem of high operation and maintenance cost of equipment inspection in the prior art, the application provides a method, a device and equipment for evaluating the performance of video passing equipment.
The inventive concept of the present application is: analyzing urban passing big data and simultaneously combining with capturing rate data of a sea message intelligent operation and maintenance platform device, scoring and evaluating the operation effect of the device from at least one performance index of video passing equipment, giving out the operation effect of the data scoring and evaluating device in each aspect of each device, and simultaneously obtaining the overall evaluation score of the operation effect of the device according to the evaluation score weight in at least one aspect, wherein the higher the evaluation score of the device is, the better the operation effect of the device is represented.
The following describes in detail an evaluation method of the performance of the video passing equipment in the embodiment of the present application with reference to the accompanying drawings.
Referring to fig. 1, a schematic diagram of an application environment according to one embodiment of the present application is shown.
As shown in fig. 1, the application may include, for example, a network 10, a server 20, a database 40, and at least one video passing device (mobile video passing device 30_1, video passing device 30_2, and video passing device 30_n illustrated in the figure), where the video passing device collects passing video and passing data, and uploads the passing video and the passing data to the server, where the server analyzes the passing data, performs corresponding traffic condition analysis, and the database is used to store the video passing device collecting passing video and passing data.
At present, the passing data are only used for the aspects of passing inquiry, passing amount statistics, congestion analysis and the like, more data values still exist and can be mined, and the embodiment of the invention provides a scheme for evaluating the performance of video passing equipment based on passing data analysis.
Referring to fig. 2, a schematic diagram of an evaluation flow of performance of a video passing device according to an embodiment of the present application is provided, where the method is applied to a server, and includes:
step S101: and acquiring a plurality of pieces of vehicle passing data corresponding to the vehicle, which are uploaded by the video vehicle passing equipment.
In the embodiment of the application, the video passing analysis is performed on the acquired video data, and when a vehicle is identified to enter the shooting range of the video passing equipment, the corresponding piece of passing data of the vehicle is acquired. The driving data of the peak time can better reflect the running condition of the video driving equipment, so the driving data of the peak time is selected for analysis. A plurality of pieces of driving data can be collected in the peak time, and each piece of driving data comprises at least one of the following data:
the video passing equipment acquires the data acquisition time of the piece of passing data;
uploading the data to a server and storing the data of the passing vehicle to a data storage time of a database;
license plate number;
vehicle type.
Step S102: and analyzing the plurality of pieces of vehicle passing data to obtain at least one performance index score of the video vehicle passing equipment.
The performance index of the video passing equipment can be an index for evaluating the performance of the video passing equipment, and different indexes have corresponding index determination rules, and the performance index can be one or a plurality of.
Before parsing the plurality of pieces of passing data, at least one of the following steps is included:
1) And screening at least one piece of passing data with incomplete data in the plurality of pieces of passing data.
In one possible embodiment, a complete piece of passing data includes: the video passing equipment collects the data collection time of the passing data, uploads the data to the server and stores the passing data in the data storage time, license plate number and vehicle type of the database, and the incomplete passing data lacks at least one data of the data. When the passing data in the above situation is found, the passing data is screened out from the plurality of passing data.
2) And screening at least one piece of passing data acquired when the clock of the video passing equipment is abnormal according to the data acquisition time in the pieces of passing data.
In one possible embodiment, the clock time of the video passing equipment is manually set, so that in the process of acquiring the passing data by the video passing equipment, the error of the time setting of the video passing equipment can occur, so that the time of acquiring the piece of data by the video passing equipment is incorrect, and the acquired passing data belongs to invalid data. For example, the actual acquisition time of a piece of passing data is 10:00, the time setting of the video passing equipment is incorrect, and the acquired time of the equipment for acquiring the piece of data is 14:00; for another example, the actual collection time of a piece of traffic data should be 2021, 7, 28 days, and the time setting of the video traffic device is incorrect, and the time the obtained device collects the piece of data is 2021, 7, 27 days. For the case similar to the two clock anomalies, the passing data obtained under the abnormal conditions are filtered out.
3) And screening out at least one piece of repeated passing data in the plurality of pieces of passing data.
In one possible embodiment, in the obtained passing data, there is a case where at least one piece of passing data is repeated at least once. For example, two pieces of passing data X 1 、X 2 The video passing equipment of the vehicle is completely consistent with the time for collecting the data, the time for storing the data, the license plate number and the vehicle type, and X is determined 1 Screening out and preserving X 2 Or then X 2 Screening out and preserving X 1 。
4) And screening at least one piece of passing data of which the vehicle type is not satisfactory in the pieces of passing data.
In one possible embodiment, there is a situation that the vehicle type is not satisfactory in the pieces of passing data, for example, the video passing device records the data of the non-motor vehicle such as the tricycle, the bicycle or the electric vehicle. Unsatisfactory data like those described above are screened out.
In one possible embodiment, the data complement processing is not performed after the data in the above situation is screened out.
Step S103: and determining a performance score for evaluating the performance of the video passing equipment according to the at least one performance index score and the corresponding weight coefficient.
When the performance index scores are 1, the corresponding weight coefficients are 1, when the performance index scores are multiple, the corresponding weight coefficients are respectively allocated, and the sum of the total weight coefficients is 1, the performance index scores are weighted and summed by the corresponding weight coefficients to obtain the performance score of the performance of the video passing equipment, so that the performance of the video passing equipment can be determined.
As an optional implementation manner, the performance index score in the embodiment of the present application includes at least one of a score of a timeliness performance index, a score of an effectiveness performance index, and a score of an integrity performance index, where the embodiment of the present application may specifically obtain the performance index score in the following manner:
obtaining uploading delay time by analyzing the difference value of the acquired data time and the stored data time in the passing data, and obtaining the score of timeliness performance indexes according to the uploading delay time;
obtaining the score of the effectiveness performance index according to the result of the analyzed invalid license plate information by analyzing the license plate information in the passing data;
and determining the video capturing rate of the video passing equipment according to the total number of the passing data, and obtaining the score of the integrity performance index according to the video capturing rate.
The invention mainly discusses an evaluation method for evaluating the equipment operation effect from three aspects of data timeliness, effectiveness and integrity by analyzing urban traffic big data and combining with the equipment capturing rate data of a sea message intelligent operation and maintenance platform, and provides the data score of each aspect of equipment to evaluate the equipment operation effect and obtain the overall evaluation score of the equipment operation effect according to the weight of the evaluation score of the three aspects, wherein the higher the equipment evaluation score is, the better the equipment operation effect is represented.
The detailed implementation process of obtaining the three performance index scores in the embodiment of the present application is given below.
1. Scoring of timeliness performance indicators
Each piece of data comprises: the video passing equipment collects the data collection time of the passing data, uploads the data collection time to the server and stores the passing data in the data storage time, license plate number and vehicle type of the database, and the difference value of the data collection time of the passing data collected by the video passing equipment and the data storage time uploaded to the server and stores the passing data in the database is the data storage timeData acquisition time T for acquiring the piece of vehicle passing data by using video vehicle passing equipment s Minus the data retention time T of uploading to the server and storing the strip of passing data to the database c Calculating the uploading delay time T up ＝T s -T c 。
As an optional implementation manner, determining the score of the timeliness performance index in the embodiment of the present application specifically includes:
1.1, as an optional implementation manner, determining the score of the timeliness performance index in the embodiment of the present application specifically includes:
and determining an uploading delay time average value and a standard deviation according to the uploading delay time corresponding to each piece of the passing data and the total number of the passing data.
In practice, by uploading the delay time T up (unit: seconds) data constitute a passing data upload delay data set a=t up 1，T up 2，T up 3，T up 4，T up 5，…，T up n; the average value of the uploading time delay is the ratio of the sum of the uploading time delay of each piece of passing data to the total number of the passing data, and the standard deviation is the arithmetic square root of the ratio of the sum of the squares of the average value of the uploading time delay subtracted from the uploading time delay of each piece of passing data to the total number of the passing data.
As an optional implementation manner, the embodiment of the application performs grouping processing on the data set with the uploading delay time of the passing data, namely, the data with the same uploading delay time is divided into a group, and the data after grouping is: x is X 1 ，X 2 ，…，X k (k≤n)。
For example, there are two data collection times and data storage times of T s1 、T c1 、T s2 、T c2 Respectively calculating the uploading delay time of the two pieces of data to obtain T s1 -T c1 ＝T s2 -T c2 Dividing the two data into X 1 A group.
As an optional implementation manner, the frequency of occurrence corresponding to the uploading delay time is: f (F) 1 ，F 2 ，…，F k (k.ltoreq.n). For example3 pieces of data with the uploading delay time of 2 seconds exist, the 3 pieces of data are divided into 1 group, and the frequency of occurrence of the data with the uploading delay time of 2 seconds is 3.
Multiplying the uploading delay time corresponding to each packet with the frequency number corresponding to the packet; then adding the products obtained by the multiplication; and finally, dividing the sum obtained after the addition by the sum of the frequency numbers corresponding to the delay time to obtain an uploading delay time average value. The specific calculation formula is as follows:
calculating standard deviation according to the average value, multiplying the square sum of the average value difference of the uploading delay time and the uploading delay time of the packet by the frequency of occurrence corresponding to the uploading delay time, adding the products obtained by multiplication, adding the sum obtained by addition and dividing the sum by the frequency of occurrence corresponding to the uploading delay time, and finally calculating the arithmetic square root of the obtained ratio, wherein the specific calculation formula is as follows:
1.2, determining an uploading delay time range according to the uploading delay time average value and the standard deviation, wherein the following calculation formula can be adopted specifically:
wherein R is r And (3) selecting a standard deviation range which is k times as large as the mean value of the characterization range for the uploading delay time range during grouping, wherein k is a range selection coefficient, so as to eliminate unreasonable data in the passing data.
And 1.3, filtering out at least one piece of traffic data with the uploading delay time not in the uploading delay time range.
In a possible embodiment, the uploading delay time range R is according to the above r On the reservation ofAnd transmitting the vehicle passing data in the time delay uploading time range by the extension time. For example, the uploading delay time range is [2s,7s ]]Data with uploading delay time less than 2 seconds and more than 7 seconds are filtered out.
And 1.4, obtaining the score of the timeliness performance index corresponding to the average value by utilizing the average value of the uploading delay time of the plurality of pieces of traffic data obtained after filtering.
The filtered uploading delay time is formed into a new data set B=T 1 ，T 2 ，...，T n . And calculating an average value according to the new data set as a reasonable delay time of the equipment, wherein the calculation formula is as follows:
and determining the equipment timeliness evaluation score TS according to the reasonable delay time range. The TS rule is determined as follows:
and determining a timeliness evaluation score range corresponding to the reasonable delay time of the equipment based on the preset mapping relation between the different equipment delay time and the timeliness evaluation score according to the determined reasonable delay time of the equipment, so as to obtain the timeliness evaluation score TS. The mapping relationship may be a mapping relationship defining a range of delay times and a range of timeliness evaluation scores of different devices, and the delay times and the timeliness evaluation scores of different devices are shown in table 1 as an example:
2. effectiveness performance index scoring
As an optional implementation manner, determining the timeliness performance index score according to the embodiment of the present application specifically includes: and analyzing license plate information in the passing data, and obtaining the score of the effectiveness performance index according to the result of the analyzed invalid license plate information, wherein the specific process is as follows:
and 2.1, analyzing license plate information in the passing data, and obtaining the score of the effectiveness performance index according to the result of the analyzed invalid license plate information.
According to license plate standard, statistics are not in accordance with license plate standard of motor vehicleNumber U of passing data of range standard 1 。
In one possible embodiment, the passing data vehicle license plate is judged to be in compliance with the standard according to the current standard specification of the motor vehicle license plate standard GA36-2018 of the people's republic of China. The standards include classification, specification, color, application range, technical requirements, test methods, inspection rules, marks, packaging, transportation, storage, installation, replacement and the like. For example, the number plate number of a vehicle is A F0231, and the province, the autonomous region or the city of direct administration, which are not represented by Chinese characters, do not accord with the standard of the motor vehicle number plate standard GA36-2018 of the people's republic of China. For example, a small car number plate with the outline size of 440mm x 140mm, blue bottom white character and white frame line meets the standard of the motor vehicle number plate standard GA36-2018 of the people's republic of China. Counting the number of passing data which does not accord with the standard of the motor vehicle license plate to obtain U 1 。
2.2, counting the number U of at least one piece of passing data failing to correctly identify the number plate of the vehicle 2 。
In one possible embodiment, failing to properly identify the vehicle number plate includes: the license plate number in the passing data is "empty", "unidentified" or "license plate". For example, in one piece of acquired passing data, the license plate number is "license plate", which indicates that the video passing device cannot correctly recognize the license plate. Counting the passing data which cannot be correctly identified to obtain U 2 。
2.3 according to the U 1 、U 2 And the total number of the passing data is obtained, and the score of the video passing equipment passing data effectiveness performance index is obtained.
In a possible embodiment, according to the U 1 、U 2 Determining the corresponding total number N of passing vehicles by analyzing the passing vehicle video uploaded by the video passing vehicle equipment t Obtaining a score AS of the effectiveness performance index of the vehicle passing data of the video vehicle passing equipment, wherein N is AS follows t The method is characterized in that the method is used for screening incomplete passing data, passing data acquired when clock of video passing equipment is abnormal, repeated passing data and video passing equipmentThe calculation formula obtained after the passing data which does not meet the requirements is as follows:
3. integrity performance index scoring
Determining the video capturing rate of the video passing equipment according to the total number of the passing data, and obtaining an integrity performance index score according to the video capturing rate, wherein the method comprises the following steps:
and 3.1, analyzing the passing video uploaded by the video passing equipment, and carrying out video analysis on the passing video to determine the corresponding passing total number.
In a possible embodiment, the video parsing is performed on the passing video to determine the corresponding passing total number N t 。
And 3.2, calculating the capture rate of the video passing equipment according to the total number of the passing vehicles and the total number of the passing data.
In one possible embodiment, the total number of passing vehicles N is filtered out t Incomplete at least one piece of passing data, at least one piece of passing data acquired when the clock of the video passing equipment is abnormal, repeated at least one piece of passing data and at least one piece of passing data with the vehicle type not meeting the requirements, thereby obtaining N vc 。
And calculating the capturing rate CR of the video passing equipment according to the total number of passing vehicles and the total number of passing data, wherein the calculation formula is as follows:
in the middle ofRepresenting the degree of deviation of the video vehicle for the deviation factor, where the deviation factor +.>Capturing rate CR calculation is based on visionThe method comprises the steps of calculating the total number of the vehicles passing through the frequency equipment and the calculation modes of different relation of the total number of the vehicles passing through the video frequency equipment. For example, the video device total number of passes N t 99 video number of total number N of vehicles passing vc 100->0.95%>Is 1.05, 99 in [95, 105 ]]The first equation in the above equation is satisfied, that is, the capturing rate is 100%.
And 3.3, obtaining the score of the integrity index corresponding to the capture rate according to the capture rate.
And obtaining a score IS of an integrity performance index corresponding to the capture rate according to the capture rate, wherein a calculation formula IS as follows:
IS＝CR×100。
in one possible embodiment, the performance score of the video passing device is obtained by weighting at least one score of a timeliness score, a validity score and an integrity score, and the calculation formula is as follows:
SS＝TS×γ ts +AS×γ as +IS×γ is
wherein TS is a timeliness evaluation score, gamma ts For timeliness evaluation score weight coefficient, AS is validity evaluation score, gamma as Weight coefficient for timeliness evaluation score, IS for integrity evaluation score, gamma is For evaluating the score weight coefficient for timeliness, the timeliness weight gamma ts =25%, effectiveness weight γ as =40%, integrity weight γ is =35%. For example, the timeliness, validity and integrity scores of a video passing device are respectively: 90, 93 and 95, the performance score of the video passing equipment is 92.95.
In one possible embodiment, the method for evaluating performance of a video passing device further includes:
responding to the performance checking instruction, and determining performance scores of video passing equipment in different level areas;
and displaying the performance scores of the video passing equipment in different grade areas in combination with a geographic information system (Geographic Information System, GIS) map, wherein the different grade areas are preset or determined according to the performance checking instructions.
The different level regions are: cities, areas, intersections. For example: when the running condition of the video passing equipment of a certain intersection is expected to be obtained, the grade area is firstly set as the certain intersection, and then the performance score of the video passing equipment of the intersection is obtained by calculating the timeliness score, the effectiveness score and the integrity score according to the method, so that the running condition of the video passing equipment is obtained. When the running condition of the video passing equipment in a certain city is expected to be obtained, the grade area is set as the certain city, and then the calculation timeliness score, the effectiveness score and the integrity score of each video passing equipment in the city are calculated according to the method respectively to obtain the performance score of each video passing equipment, so that the running condition of the video passing equipment in the city is obtained.
In one possible embodiment, the operation conditions of the overall equipment in the display city are distinguished according to the evaluation score conditions, and the operation effects of the display equipment are specifically as follows:
1) And supporting the overview of the running effect of the urban overall equipment to display the running effect of the urban equipment intuitively in a map combined with equipment evaluation score thermodynamic diagram mode.
2) The equipment with low timeliness, effectiveness and integrity scores and poor operation effect is mainly displayed, and visual basis is provided for equipment inspection optimization.
3) And supporting to select a specific area or a specific line on the map to view the operation evaluation of the related equipment of the specific area or the specific line.
4) And supporting the single intersection to view the intersection equipment operation evaluation score condition, and supporting the historical score condition to view.
According to the method for evaluating the equipment operation effect, the operation condition of the video passing equipment is evaluated by analyzing the passing data of the urban passing big data equipment, the three-level evaluation system of cities, areas and intersections is realized at the same time, the equipment operation effect is conveniently and intuitively checked, the equipment efficiency is fully excavated by scoring in all aspects, the equipment operation and maintenance optimization can be provided with accurate basis, the traditional regular inspection investment is reduced, the equipment accurate operation and maintenance is realized, and meanwhile, the reference is provided for the old equipment update. Meanwhile, the equipment account service life and the equipment recent operation effect evaluation condition can be combined to judge whether the equipment needs to be replaced by new equipment or not, so that more accurate and reasonable equipment replacement and update are realized, the equipment update cost is greatly reduced, and the equipment input cost is saved.
Based on the same inventive concept, the present application further provides an evaluation device 400 for performance of a video passing device, where the device includes;
the data acquisition module 401 is configured to acquire a plurality of pieces of vehicle passing data corresponding to a vehicle, which are uploaded by the video vehicle passing device;
the data parsing module 402 is configured to parse the plurality of pieces of driving data to obtain at least one performance index score of the video driving device.
The performance score determining module 403 determines a performance score for evaluating the performance of the video passing equipment according to the at least one performance index score and the corresponding weight coefficient. .
In a possible embodiment, the data parsing module parses the plurality of pieces of driving data to obtain at least one performance indicator score of the video driving device, including at least one step of:
obtaining uploading delay time by analyzing the difference value of the acquired data time and the stored data time in the passing data, and obtaining the score of timeliness performance indexes according to the uploading delay time;
obtaining a score of the effectiveness index according to the result of the analyzed invalid license plate information by analyzing the license plate information in the passing data;
and determining the video capturing rate of the video passing equipment according to the total number of the passing data, and obtaining the score of the integrity index according to the video capturing rate.
In one possible embodiment, before the data parsing module parses the plurality of pieces of passing data, the method further includes at least one of:
the screening data module screens at least one piece of passing data with incomplete data in the plurality of pieces of passing data;
according to the data acquisition time in the plurality of pieces of passing data, a screening data module screens out at least one piece of passing data acquired when the clock of the video passing equipment is abnormal;
the screening data module screens at least one piece of repeated passing data in the plurality of pieces of passing data;
and the screening data module screens at least one piece of passing data of which the vehicle type is not in accordance with the requirements in the plurality of pieces of passing data.
In one possible embodiment, the data analysis module analyzes the difference between the acquired data time and the stored data time in the passing data to obtain the uploading delay time, and obtains the score of the timeliness index according to the uploading delay time, including:
determining an uploading delay time average value and a standard deviation according to the uploading delay time corresponding to each piece of passing data and the total number of the passing data;
determining an uploading delay time range according to the uploading delay time average value and the standard deviation;
filtering at least one piece of vehicle-passing data with uploading delay time not in the uploading delay time range;
and obtaining the score of the timeliness index corresponding to the average value by utilizing the average value of the uploading delay time of the plurality of pieces of traffic data obtained after filtering.
In one possible embodiment, the data analysis module analyzes license plate information in the passing data, obtains a score of the validity index according to a result of the analyzed invalid license plate information, and includes:
according to license plate standard, statistics of passing data U which does not accord with the license plate standard 1 ；
Statistics of at least one passing data U failing to correctly identify vehicle number plate 2 ；
According to the U 1 、U 2 And the total number of the passing data is obtained, and the score of the video passing equipment passing data effectiveness index is obtained.
In one possible embodiment, determining a video capturing rate of the video passing device according to the total number of passing data, and scoring an integrity index according to the video capturing rate includes:
the data analysis module analyzes the passing video uploaded by the video passing equipment, and performs video analysis on the passing video to determine the corresponding passing total number;
calculating the capturing rate of the video passing equipment according to the total number of passing vehicles and the total number of passing data;
and obtaining the score of the integrity index corresponding to the capture rate according to the capture rate.
The device for evaluating the performance of the video passing equipment further comprises:
and responding to the performance checking instruction, determining performance scores of the video passing equipment in the areas with different grades, and displaying the performance scores of the video passing equipment in the areas with different grades by combining a Geographic Information System (GIS) map, wherein the areas with different grades are preset or determined according to the performance checking instruction.
Based on the same conception, the present application provides an electronic device comprising at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the reception processing method in the above-described embodiment.
An electronic device 130 according to this embodiment of the present application is described below with reference to fig. 3. The electronic device 130 shown in fig. 4 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present application in any way.
As shown in fig. 3, the electronic device 130 is in the form of a general-purpose electronic device. Components of electronic device 130 may include, but are not limited to: the at least one processor 131, the at least one memory 132, and a bus 133 connecting the various system components, including the memory 132 and the processor 131.
The processor 131 is configured to read and execute the instructions in the memory 132, so that the at least one processor can execute the method for evaluating the performance of the video passing device provided in the foregoing embodiment 1.
Bus 133 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, and a local bus using any of a variety of bus architectures.
Memory 132 may include readable media in the form of volatile memory such as Random Access Memory (RAM) 1321 and/or cache memory 1322, and may further include Read Only Memory (ROM) 1323.
Memory 132 may also include a program/utility 1325 having a set (at least one) of program modules 1324, such program modules 1324 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The electronic device 130 may also communicate with one or more external devices 134 (e.g., keyboard, pointing device, etc.), one or more devices that enable a user to interact with the electronic device 130, and/or any device (e.g., router, modem, etc.) that enables the electronic device 130 to communicate with one or more other electronic devices. Such communication may occur through an input/output (I/O) interface 135. Also, electronic device 130 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 136. As shown, network adapter 136 communicates with other modules for electronic device 130 over bus 133. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 130, including, but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
In some possible embodiments, aspects of a method, an apparatus, and a device for evaluating performance of a video passing device provided in the present application may also be implemented as a program product, which includes program code for causing a computer device to perform the steps described in the present specification for evaluating performance of a video passing device according to various exemplary embodiments of the present application when the program product is run on the computer device.
In addition, the present application also provides a computer-readable storage medium storing a computer program for causing a computer to execute the method of any one of the above embodiments.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (9)
1. The method for evaluating the performance of the video passing equipment is characterized by comprising the following steps:
acquiring a plurality of pieces of vehicle passing data corresponding to vehicles, which are uploaded by video vehicle passing equipment;
analyzing the plurality of pieces of vehicle passing data to obtain at least one performance index score of the video vehicle passing equipment, wherein the performance index score comprises a score of timeliness performance index, a score of effectiveness performance index and a score of integrity performance index;
determining a performance score for evaluating the performance of the video passing equipment according to the at least one performance index score and the corresponding weight coefficient;
wherein the integrity performance index score is determined by:
the video capturing rate of the video passing equipment is determined by the following formula:
wherein CR is the video capturing rate of the video passing equipment, N t For the total number N of passing vehicles obtained by analyzing the passing vehicle video uploaded by the video passing vehicle equipment vc Is N t Screening out incomplete at least one piece of vehicle passing data, at least one piece of vehicle passing data acquired when the clock of the video vehicle passing equipment is abnormal, repeated at least one piece of vehicle passing data and the data quantity of at least one piece of vehicle passing data with the vehicle type not meeting the requirements,representing the video vehicle deviation distance as the deviation coefficientA degree;
and obtaining the score of the integrity performance index corresponding to the video capturing rate according to the video capturing rate.
2. The method of claim 1, wherein parsing the plurality of pieces of taxi-through data to obtain at least one performance indicator score for the video taxi-through device comprises at least one of:
obtaining uploading delay time by analyzing the difference value of the acquired data time and the stored data time in the passing data, and obtaining the score of timeliness performance indexes according to the uploading delay time;
obtaining the score of the effectiveness performance index according to the result of the analyzed invalid license plate information by analyzing the license plate information in the passing data;
and determining the video capturing rate of the video passing equipment according to the total number of the passing data, and obtaining the score of the integrity performance index according to the video capturing rate.
3. The method of claim 1 or 2, further comprising, prior to parsing the plurality of pieces of passing data, at least one of:
screening at least one piece of passing data with incomplete data in the plurality of pieces of passing data;
screening at least one piece of passing data acquired when the clock of the video passing equipment is abnormal according to the data acquisition time in the pieces of passing data;
screening at least one piece of repeated passing data in the plurality of pieces of passing data;
and screening at least one piece of passing data of which the vehicle type is not satisfactory in the pieces of passing data.
4. The method of claim 2, wherein obtaining the upload delay time by analyzing a difference between the acquired data time and the stored data time in the passing data, and obtaining the score of the timeliness performance index according to the upload delay time comprises:
determining an uploading delay time average value and a standard deviation according to the uploading delay time corresponding to each piece of passing data and the total number of the passing data;
determining an uploading delay time range according to the uploading delay time average value and the standard deviation;
filtering at least one piece of vehicle-passing data with uploading delay time not in the uploading delay time range;
and obtaining the score of the timeliness performance index corresponding to the average value by utilizing the average value of the uploading delay time of the plurality of pieces of traffic data obtained after filtering.
5. The method according to claim 2, wherein obtaining the score of the validity performance index by analyzing license plate information in the passing data and according to the result of the analyzed invalid license plate information comprises:
according to license plate standard, statistics of passing data U which does not accord with the license plate standard 1 ；
Statistics of at least one passing data U failing to correctly identify vehicle number plate 2 ；
According to the U 1 、U 2 And the total number of the passing data is obtained, and the score of the video passing equipment passing data effectiveness performance index is obtained.
6. The method as recited in claim 1, further comprising:
and responding to the performance checking instruction, determining performance scores of the video passing equipment in the areas with different grades, and displaying the performance scores of the video passing equipment in the areas with different grades by combining a Geographic Information System (GIS) map, wherein the areas with different grades are preset or determined according to the performance checking instruction.
7. A video passing equipment performance evaluation device, the device comprising:
the data acquisition module is used for acquiring a plurality of pieces of vehicle passing data corresponding to the vehicles, which are uploaded by the video vehicle passing equipment;
the data analysis module is used for analyzing the plurality of pieces of vehicle passing data to obtain at least one performance index score of the video vehicle passing equipment, wherein the performance index score comprises a timeliness performance index score, an effectiveness performance index score and an integrity performance index score;
the performance grading module is used for determining and evaluating the performance grading of the video passing equipment according to the at least one performance index grading and the corresponding weight coefficient;
wherein the integrity performance index score is determined by:
the video capturing rate of the video passing equipment is determined by the following formula:
wherein CR is the video capturing rate of the video passing equipment, N t For the total number N of passing vehicles obtained by analyzing the passing vehicle video uploaded by the video passing vehicle equipment vc Is N t Screening out incomplete at least one piece of vehicle passing data, at least one piece of vehicle passing data acquired when the clock of the video vehicle passing equipment is abnormal, repeated at least one piece of vehicle passing data and the data quantity of at least one piece of vehicle passing data with the vehicle type not meeting the requirements,representing the degree of deviation of the video vehicle as a deviation coefficient;
and obtaining the score of the integrity performance index corresponding to the video capturing rate according to the video capturing rate.
8. A video passing equipment performance evaluation equipment, which is characterized by comprising at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
9. A computer storage medium, characterized in that the computer storage medium stores a computer program for causing a computer to perform the method according to any one of claims 1-6.
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