CN116433053B - Data processing method, device, computer equipment and storage medium - Google Patents
Data processing method, device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a data processing method, a data processing device, computer equipment and a storage medium. The method comprises the following steps: acquiring power conversion data corresponding to each target object in the region to be evaluated and position data of each target vehicle; determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object; and carrying out data processing on the first power conversion score and the second power conversion score of each target object in the region to be evaluated according to a preset evaluation strategy and position data of each target vehicle to obtain an evaluation result of the region to be evaluated. By adopting the method, the accuracy of the evaluation result of the region to be evaluated can be improved.
Description
Technical Field
The present application relates to the field of shared bicycle technologies, and in particular, to a data processing method, apparatus, computer device, and storage medium.
Background
In cities where sharing bicycles are operated, vehicle battery replacement is an extremely important operation and maintenance task for sharing bicycles. The vehicle is lack of electricity to directly cause that the vehicle cannot ride, so that whether the shared bicycle can be reasonably and timely replaced can directly influence the use conversion of the shared bicycle. Therefore, in order to improve the use conversion rate of the shared bicycle, the power change evaluation needs to be performed on the shared bicycle.
In the current power change evaluation method of the sharing bicycle, the power change quantity of each power change worker for completing the power change of the vehicle in the target area is counted and is used as an evaluation result for performing power change evaluation on the target area.
However, in the current power change evaluation method of the sharing bicycle, the power change evaluation is performed on the target area only based on the power change number of the power change workers, and the accuracy of the evaluation result is low.
Disclosure of Invention
Based on this, it is necessary to provide a data processing method, apparatus, computer device and computer readable storage medium in order to address the above technical problems.
In a first aspect, the present application provides a data processing method. The method comprises the following steps:
acquiring power conversion data corresponding to each target object in the region to be evaluated and position data of each target vehicle;
determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object;
and carrying out data processing on the first power conversion score and the second power conversion score of each target object in the region to be evaluated according to a preset evaluation strategy and the position data of each target vehicle to obtain an evaluation result of the region to be evaluated.
In one embodiment, the obtaining the power conversion data corresponding to each target object and the position data of each target vehicle in the region to be evaluated includes:
determining a target vehicle in each vehicle contained in the to-be-evaluated area according to the electric quantity information of each vehicle in the to-be-evaluated area;
and inquiring and acquiring the power conversion data of each target object, and acquiring the position data of each target vehicle.
In one embodiment, the power conversion data includes a number of power conversion per person, a working time per person, a power conversion completion rate, an average power conversion waiting time, power-failure vehicle loss data and power-failure order loss data, and determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object includes:
determining a first power conversion score of each target object according to the average power conversion number and the average working time length in the power conversion data corresponding to each target object;
and determining a second power change score of each target object according to the power change completion rate, the average power change waiting time, the power shortage vehicle loss data and the power shortage order loss data.
In one embodiment, the determining the second power conversion score of each target object according to the power conversion completion rate, the average power conversion waiting duration, the power-shortage vehicle loss data and the power-shortage order loss data includes:
performing product calculation on the average power-changing waiting time length, the power-failure vehicle loss data and the power-failure order loss data corresponding to each target object to obtain power-failure loss data corresponding to each target object;
and determining a second power conversion score of each target object according to the power conversion completion rate and the power failure loss data.
In one embodiment, the data processing is performed on the first power conversion score and the second power conversion score of each target object in the to-be-evaluated area according to a preset evaluation policy and position data of each target vehicle, so as to obtain an evaluation result of the to-be-evaluated area, where the data processing includes:
determining a target evaluation subarea in the area to be evaluated according to a preset evaluation strategy;
determining a first power conversion score and a second power conversion score of the target object corresponding to each target evaluation subarea according to the position data of each target vehicle;
Determining a comprehensive score of each target evaluation subarea according to the first power conversion score and the second power conversion score of each target object in each target evaluation subarea;
and determining the evaluation result of the region to be evaluated according to the comprehensive score of each target evaluation sub-region.
In one embodiment, the determining the evaluation result of the to-be-evaluated area according to the comprehensive score of each target evaluation sub-area includes:
sequencing the target evaluation subareas according to the sequence of the importance degree of the target evaluation subareas from big to small to obtain sequencing results of the target evaluation subareas;
and determining the evaluation result of the region to be evaluated according to the matching relation between the comprehensive score of each target evaluation sub-region and the sequencing result of each target evaluation sub-region.
In one embodiment, the determining the evaluation result of the to-be-evaluated area according to the comprehensive score of each target evaluation sub-area includes:
calculating the overall comprehensive score of the region to be evaluated according to the comprehensive score and the weight coefficient of each target evaluation sub-region;
and determining an evaluation result of the region to be evaluated according to the overall comprehensive score of the region to be evaluated and a preset evaluation grade threshold.
In a second aspect, the application further provides a data processing device. The device comprises:
the acquisition module is used for acquiring power conversion data corresponding to each target object in the region to be evaluated and position data of each target vehicle;
the determining module is used for determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object;
the processing module is used for carrying out data processing on the first power conversion score and the second power conversion score of each target object in the to-be-evaluated area according to a preset evaluation strategy and the position data of each target vehicle to obtain an evaluation result of the to-be-evaluated area.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring power conversion data corresponding to each target object in the region to be evaluated and position data of each target vehicle;
determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object;
And carrying out data processing on the first power conversion score and the second power conversion score of each target object in the region to be evaluated according to a preset evaluation strategy and the position data of each target vehicle to obtain an evaluation result of the region to be evaluated.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring power conversion data corresponding to each target object in the region to be evaluated and position data of each target vehicle;
determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object;
and carrying out data processing on the first power conversion score and the second power conversion score of each target object in the region to be evaluated according to a preset evaluation strategy and the position data of each target vehicle to obtain an evaluation result of the region to be evaluated.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
Acquiring power conversion data corresponding to each target object in the region to be evaluated and position data of each target vehicle;
determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object;
and carrying out data processing on the first power conversion score and the second power conversion score of each target object in the region to be evaluated according to a preset evaluation strategy and the position data of each target vehicle to obtain an evaluation result of the region to be evaluated.
The data processing method, the data processing device, the computer equipment and the storage medium acquire the power conversion data corresponding to each target object in the region to be evaluated and the position data of each target vehicle; determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object; and carrying out data processing on the first power conversion score and the second power conversion score of each target object in the region to be evaluated according to a preset evaluation strategy and the position data of each target vehicle to obtain an evaluation result of the region to be evaluated. According to the method, the power change results of the target objects are subjected to multidimensional grading according to the power change data corresponding to the target objects, so that the first power change grading and the second power change grading of the target objects are obtained, and further, the power change effect of the area to be evaluated is evaluated based on the position data of the target vehicle, the first power change grading and the second power change grading of the target objects and a preset evaluation strategy, so that the accuracy of the evaluation result is improved.
Drawings
FIG. 1 is a flow diagram of a data processing method in one embodiment;
FIG. 2 is a flow chart of a method of acquiring power change data and location data in one embodiment;
FIG. 3 is a flow chart of a power change scoring step for determining a target object in one embodiment;
FIG. 4 is a flow chart of a second power-change scoring method for determining a target object in one embodiment;
FIG. 5 is a flow chart of a method for determining an evaluation result of an area to be evaluated according to one embodiment;
FIG. 6 is a flow chart of a method for determining an evaluation result of an area to be evaluated according to a composite score of a target evaluation sub-area in one embodiment;
FIG. 7 is a flowchart of a method for determining an evaluation result of an area to be evaluated according to a composite score of a target evaluation sub-area in another embodiment;
FIG. 8 is a block diagram of a data processing apparatus in one embodiment;
fig. 9 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
In one embodiment, as shown in fig. 1, a data processing method is provided, where this embodiment is applied to a terminal to illustrate the method, and it is understood that the method may also be applied to a server, and may also be applied to a system including a terminal and a server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:
step 102, obtaining power conversion data corresponding to each target object in the region to be evaluated and position data of each target vehicle.
In the implementation, in the operation process of the sharing bicycle, daily supervision is required to be performed on each area where the sharing bicycle is put, and evaluation and diagnosis are performed on the electricity exchanging effect of the sharing bicycle in each area, so that the problem in the operation management of the sharing bicycle can be found in time. Therefore, a timing service is preset in the terminal for sharing the operation management of the bicycle, and based on the timing service, the terminal can start the evaluation and diagnosis of each target area (i.e., each area to be evaluated) at regular time according to a preset diagnosis period. In addition, during the daily use of the sharing bicycle, the terminal stores the electricity change record of each target object, the code scanning order record generated when each sharing bicycle is used, and the like. Therefore, in each diagnosis period, the terminal can acquire the power conversion data corresponding to each target object in the region to be evaluated and the position data of each target vehicle from the power conversion record and the code scanning order record.
The target vehicle may be an electric-shortage vehicle in the area to be evaluated, and the electric-shortage vehicle is determined by the residual electric quantity of the vehicle (i.e., electric quantity information of the vehicle) and a preset electric quantity threshold value. The target object may be a power conversion staff that references to the power conversion of the target vehicle in the diagnosis period, which is not limited in the embodiment of the present application.
And 104, determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object.
In implementation, after obtaining the power conversion data corresponding to each target object in the region to be evaluated in a preset diagnosis period, the terminal scores each target object according to the power conversion data corresponding to each target object from two dimensions of employee enthusiasm and power conversion result, and obtains a first power conversion score and a second power conversion score corresponding to each target object.
Specifically, the power conversion data may include: the number of power changes per person, the working time per person, the power change completion rate, the average power change waiting time, the loss data of the power-shortage vehicles, the loss data of the power-shortage orders and the like are all changed, and the specific data content contained in the power change data is not limited by the embodiment of the application. Optionally, the power change data may be directly obtained from the power change record and the code scanning order record, or may be further obtained by data processing based on the original data in the power change record and the code scanning order record.
And 106, carrying out data processing on the first power conversion score and the second power conversion score of each target object in the region to be evaluated according to a preset evaluation strategy and position data of each target vehicle to obtain an evaluation result of the region to be evaluated.
In implementation, the preset evaluation policy in the terminal may include a policy of performing area division on the area to be evaluated, so that the terminal may divide a target evaluation sub-area in the area to be evaluated according to the evaluation policy, and the terminal determines each target vehicle included in each target evaluation sub-area according to the position data of each target vehicle, thereby determining a first power conversion score and a second power conversion score of each target object corresponding to the target evaluation sub-area. And then, the terminal performs data processing on the first power conversion score and the second power conversion score of each target object in each target evaluation subarea based on a preset evaluation strategy to obtain an evaluation result of the area to be evaluated.
In the data processing method, the power conversion result of each target object is subjected to multidimensional grading according to the power conversion data corresponding to each target object, so that the first power conversion grade and the second power conversion grade of each target object are obtained, and further, the power conversion effect of the region to be evaluated is evaluated based on the position data of the target vehicle, the first power conversion grade and the second power conversion grade of each target object and a preset evaluation strategy, so that the accuracy of the evaluation result is improved.
In one embodiment, as shown in fig. 2, step 102 of obtaining power conversion data corresponding to each target object in the area to be evaluated and position data of each target vehicle includes the following steps:
step 202, determining a target vehicle in each vehicle contained in the to-be-evaluated area according to the electric quantity information of each vehicle in the to-be-evaluated area.
In implementation, the terminal acquires the electric quantity information of each vehicle in the area to be evaluated, and screens the target vehicle according to the electric quantity information of each vehicle. Specifically, a target vehicle screening condition is preset in the terminal, wherein the target vehicle screening condition is that the current daily electric quantity of the vehicle is lower than 30%. Then, the terminal determines a target vehicle whose current electric quantity is less than 30% from among the vehicles according to the electric quantity information of the respective vehicles and the target vehicle screening condition.
Step 204, query and obtain the power conversion data of each target object, and obtain the position data of each target vehicle.
In implementation, the power change data of each target object is stored in the power change record, and the terminal queries and acquires the power change data of each target object and acquires the position data of each target vehicle in the power change record. Specifically, the terminal may query, in the list of the power conversion record, a target table entry corresponding to the identifier of the target object according to the identifier (for example, IDentity ID) of the target object, so as to obtain power conversion data corresponding to the target object included in the target table entry. And acquiring the position data of each target vehicle in the vehicle positioning map according to the identification of each target vehicle. Optionally, after the target vehicle is determined, the target vehicle, data corresponding to the target vehicle, and the like are written into a power conversion list, where the power conversion list is used to instruct the target object to perform vehicle power conversion, and may also be used to provide data of the target vehicle when data analysis is performed.
In the embodiment, the data analysis is performed on the power conversion effect of the area to be evaluated from different dimensions by acquiring the power conversion data corresponding to the target object and the position data of each target vehicle, so that the evaluation of the power conversion effect of the area to be evaluated is realized, and the accuracy of the evaluation result of the area to be evaluated is improved.
In one embodiment, optionally, the power change data may include average power change number, average working time length, power change completion rate, average power change waiting time length, power-shortage vehicle loss data and power-shortage order loss data. Wherein, concretely, the average power change number: the average of the number of battery changes is accumulated on the day for all target objects (e.g., battery change staff). Average working time: average value of the effective working time of the current day of all target objects. The average power conversion number and the average working time length are used for representing the power conversion deposition polarity of staff, and the larger the average power conversion number and the average working time length are, the higher the power conversion deposition polarity of staff is. Power conversion completion rate: the number of complete power changes per day/the number of power changes to be performed per day. Average power-down waiting period (also referred to as average vehicle low-power period), wherein the power-down waiting period is the time interval between when the vehicle enters the power-down list (i.e., is confirmed as the target vehicle) and when the next power-down is completed. Average power-change waiting time period: average value of waiting time of all target vehicles to be powered up. The smaller the value of the average power change waiting time length is, the better the value is, the shorter the average power change waiting time length is, and the more timely the power change of the target vehicle is represented. Vehicle loss data for a defect (i.e., vehicle loss rate for a defect): number of vehicle losses per total number of vehicles per day. For a low battery target vehicle, a vehicle loss is determined if the user does not ride the vehicle after the code sweep and does not ride other vehicles nearby within 5 minutes. The same target vehicle does not repeat calculation, namely, different users scan the target vehicle, and only one vehicle loss is recorded. Electricity missing order loss data (i.e., electricity missing order loss rate): number of orders lost per total number of orders on the day. For a certain user to sweep a code using a certain target vehicle, if the target vehicle is not being ridden after the code sweep and other vehicles nearby are being ridden within 5 minutes, an order loss is noted. The same vehicle and the same user do not repeat calculation, namely the same user scans the same vehicle for a plurality of times in a short time (preset time length), and only records the order loss once. Wherein, the loss data of the electric shortage vehicle and the loss of the electric shortage order are used for representing the condition of the electric exchanging loss of the target vehicle, so the smaller the data is, the better the data is.
Based on the above power conversion data, as shown in fig. 3, in step 104, a first power conversion score and a second power conversion score of each target object are determined according to the power conversion data corresponding to each target object, which specifically includes:
step 302, determining a first power conversion score of each target object according to the average power conversion number and the average work time length in the power conversion data corresponding to each target object.
In implementation, the terminal determines a first power conversion score of each target object according to the average power conversion number and the average work time length in the power conversion data corresponding to each target object. Specifically, the first power conversion score is used for characterizing employee enthusiasm, and a calculation formula of the first power conversion score is shown in the following formula (1):
（1）
wherein 150 is a standard value of average power conversion number, 8 is a standard value of average working time length, so that a ratio of actual average power conversion data to the standard value of average power conversion number, also referred to as a first ratio, is used for representing whether the average power conversion number of each target object meets the standard; the ratio of the actual average working time length to the standard value of the average working time length, also called a second ratio, is used for representing whether the average working time length of each target object meets the standard. And then, obtaining employee enthusiasm scores of all the target objects, namely a first power conversion score, based on the sum of the first ratio and the second ratio.
Step 304, determining a second power change score of each target object according to the power change completion rate, the average power change waiting time, the power shortage vehicle loss data and the power shortage order loss data.
In implementation, the terminal determines a second power change score for each target object according to the power change completion rate, the average power change waiting time, the power shortage vehicle loss data and the power shortage order loss data. The second power change score is used to characterize a power change loss condition. Based on the second power change score, the power change effect of the region to be evaluated can be further reflected.
In the embodiment, the first power change score for reflecting the enthusiasm of the staff and the second power change score for reflecting the power change loss condition are obtained by performing data processing on the power change data corresponding to each target object, and then the power change effect of the area to be evaluated is evaluated from different angles based on the first power change score and the second power change score, so that the accuracy of the evaluation result of the area to be evaluated is improved.
In one embodiment, as shown in fig. 4, in step 304, the second power conversion score of each target object is determined according to the power conversion completion rate, the average power conversion waiting duration, the power-down vehicle loss data and the power-down order loss data, and specifically includes:
And step 402, performing product calculation on average power-change waiting time, power-failure vehicle loss data and power-failure order loss data corresponding to each target object to obtain power-failure loss data corresponding to each target object.
In implementation, the terminal performs product calculation on average power-change waiting time, power-failure vehicle loss data and power-failure order loss data corresponding to each target object to obtain power-failure loss data corresponding to each target object.
Step 404, determining a second power conversion score of each target object according to the power conversion completion rate and the power failure loss data.
In implementation, the terminal determines a second power conversion score of each target object according to the power conversion completion rate and the power failure loss data, specifically, the ratio of the power conversion completion rate of each target object to the power failure loss data, that is, the second power conversion score, is used for representing the power conversion result score of each target object. The specific calculation formula is shown in the following formula (2):
（2）
in this embodiment, the second power conversion score of the target object is calculated by the ratio of the power conversion completion rate of the target object to the power failure loss data, so as to realize the evaluation of the power conversion result of each target object in the region to be evaluated.
In one embodiment, as shown in fig. 5, in step 106, according to a preset evaluation policy and position data of each target vehicle, data processing is performed on a first power conversion score and a second power conversion score of each target object in an area to be evaluated, so as to obtain an evaluation result of the area to be evaluated, which specifically includes:
Step 502, determining a target evaluation subarea in the area to be evaluated according to a preset evaluation strategy.
In implementation, when the region to be evaluated is evaluated, a special region in the region to be evaluated can be subjected to key analysis, and the region to be evaluated can be comprehensively analyzed according to the evaluation result of the special region. Therefore, the terminal can determine the target evaluation subarea in the area to be evaluated according to a preset evaluation strategy, and particularly, the terminal divides the area to be evaluated into four types of target evaluation subareas according to the distribution situation of the target vehicle. The method comprises the following steps of: first category: the whole area, i.e. the whole area to be evaluated. The second category: the core area is divided according to the density of POIs (Pointof Intersesting, interest points), and the area with high POI density is divided into the core area. For example, common core areas include shops, restaurants, barbershops, commodity stores, parking lots, bus stops, subway stations, train stations, residential areas, office buildings, schools, and the like. Third category: the parking areas of the bicycle are shared, and a plurality of parking areas are selected manually or are divided in a system assisting mode. Fourth category: and (3) in the hot parking areas, sorting in a descending order based on the daily average order quantity of 30 days in the parking areas of the shared bicycles, wherein the selected order quantity accounts for 30% of the parking areas before the first.
And 504, determining a first power conversion score and a second power conversion score of the target object corresponding to each target evaluation subarea according to the position data of each target vehicle.
In implementation, the terminal determines a target evaluation sub-area where each target vehicle is located according to the position data of each target vehicle, and further determines a first power conversion score and a second power conversion score of a target object corresponding to each target evaluation sub-area for all target vehicles corresponding to the target evaluation sub-area.
Step 506, determining a comprehensive score of each target evaluation subarea according to the first power conversion score and the second power conversion score of each target object in each target evaluation subarea.
In implementation, the terminal determines a composite score for each target evaluation region according to the first power conversion score and the second power conversion score of each target object in each target evaluation region. Specifically, the terminal may determine a comprehensive power conversion score corresponding to each target object based on weights corresponding to the first power conversion score and the second power conversion score, and further, count the comprehensive power conversion scores of all target objects in each target evaluation sub-area, to obtain the comprehensive score of the target evaluation sub-area.
And step 508, determining an evaluation result of the region to be evaluated according to the comprehensive scores of the target evaluation sub-regions.
In the implementation, the terminal determines the evaluation result of the region to be evaluated according to the comprehensive score of each target evaluation sub-region. For example, the terminal may sum the comprehensive scores of the target evaluation sub-areas to obtain an overall comprehensive score of the to-be-evaluated area, and further determine an evaluation result of the to-be-evaluated area based on the overall comprehensive score and a preset evaluation criterion. Or, the terminal can compare and analyze the comprehensive scores of all the target evaluation subareas to determine the evaluation result of the area to be evaluated. The specific implementation of determining the evaluation result of the to-be-evaluated area based on the comprehensive score of each target evaluation sub-area in the embodiment of the present application will be described in detail in the following embodiments, which will not be described in detail herein.
In this embodiment, according to a preset evaluation policy and position data of each target vehicle, data processing is performed on the first power conversion score and the second power conversion score of each target vehicle in the region to be evaluated, so as to obtain an evaluation result of the region to be evaluated, and accuracy of the evaluation result of the region to be evaluated is improved.
In one embodiment, a specific method for determining the evaluation result of the to-be-evaluated area according to the comprehensive score of each target evaluation sub-area is provided, as shown in fig. 6, that is, in step 508, the evaluation result of the to-be-evaluated area is determined according to the comprehensive score of each target evaluation sub-area, which specifically includes:
step 602, sorting the target evaluation subareas according to the order of the importance degree of the target evaluation subareas from large to small, so as to obtain the sorting result of the target evaluation subareas.
In the implementation, the terminal sorts the target evaluation subareas according to the order of the importance degree of the target evaluation subareas from big to small, and a sorting result of the target evaluation subareas is obtained. Specifically, aiming at four types of targets, the terminal evaluates the subareas, and can obtain the targets according to the ordering from big to small according to the importance degree of the areas: hot parking area > core area > overall area.
Step 604, determining an evaluation result of the region to be evaluated according to the matching relationship between the comprehensive score of each target evaluation sub-region and the sequencing result of each target evaluation sub-region.
In implementation, the terminal compares and analyzes the comprehensive scores of the target evaluation subareas and the sequencing results of the target evaluation subareas, if the comprehensive scores of the target evaluation subareas are arranged in descending order according to the importance sequencing results of the target evaluation subareas, namely, the more important target evaluation subareas are, the higher the comprehensive scores of the target evaluation subareas are, the better the evaluation results of the to-be-evaluated areas are represented, and if the comprehensive scores of the target evaluation subareas are not arranged according to the sequencing results of the importance of the target evaluation subareas, the evaluation results of the to-be-evaluated areas are represented to be worse, and the point changing strategy of the to-be-evaluated areas is required to be further adjusted.
In the embodiment, the evaluation result of the region to be evaluated is obtained by performing data processing on the comprehensive scores of the target evaluation sub-regions included in the region to be evaluated, so that the accuracy of the evaluation result of the region to be evaluated is improved.
In one embodiment, another specific method for determining the evaluation result of the to-be-evaluated area according to the comprehensive score of each target evaluation sub-area is provided, as shown in fig. 7, that is, in step 508, the evaluation result of the to-be-evaluated area is determined according to the comprehensive score of each target evaluation sub-area, which specifically includes:
step 702, calculating the overall comprehensive score of the region to be evaluated according to the comprehensive score and the weight coefficient of each target evaluation sub-region.
In the implementation, the terminal calculates the overall comprehensive score of the region to be evaluated according to the comprehensive score and the weight coefficient of each target evaluation sub-region. Specifically, the weight coefficient corresponding to each target evaluation sub-area may be determined according to the importance degree of each target evaluation sub-area, or may be determined according to the vehicle conversion rate of each target evaluation sub-area, or other service indexes. And then, based on the weight coefficient corresponding to each target evaluation subarea, the terminal performs weighted summation calculation on the comprehensive scores of each target evaluation subarea to obtain a weighted summation result, wherein the weighted summation result is used as the overall comprehensive score of the to-be-evaluated area.
Step 704, determining an evaluation result of the region to be evaluated according to the overall comprehensive score of the region to be evaluated and a preset evaluation level threshold.
In implementation, each evaluation level of the area to be evaluated may be preset in the terminal, and an evaluation level threshold corresponding to each evaluation level is set corresponding to the evaluation level. For example, the evaluation level threshold corresponding to each evaluation level is the end point value of the range of each evaluation level, so that the terminal determines the evaluation level of the current region to be evaluated according to the overall comprehensive score of the current region to be evaluated and the preset evaluation level threshold, and uses the current evaluation level as the evaluation result of the region to be evaluated. For example, first level: 0-25 (minutes); second level: 26-50 minutes; third level: 51-75 (minutes); fourth grade: 76-100 (points), if the overall comprehensive score of the current region to be evaluated is 77 points, determining that the evaluation result of the region to be evaluated is in the fourth grade. The fourth level also characterizes that the current region to be evaluated has better power exchanging effect.
In the embodiment, the evaluation result of the region to be evaluated is obtained by performing data processing on the comprehensive scores of the target evaluation sub-regions included in the region to be evaluated, so that the accuracy of the evaluation result of the region to be evaluated is improved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a data processing device for realizing the above related data processing method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation of one or more embodiments of the data processing device provided below may refer to the limitation of the data processing method hereinabove, and will not be repeated herein.
In one embodiment, as shown in FIG. 8, there is provided a data processing apparatus 800 comprising: an acquisition module 810, a determination module 820, and a processing module 830, wherein:
the acquiring module 810 is configured to acquire power conversion data corresponding to each target object and position data of each target vehicle in the region to be evaluated.
The determining module 820 is configured to determine a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object.
The processing module 830 is configured to perform data processing on the first power conversion score and the second power conversion score of each target object in the to-be-evaluated area according to a preset evaluation policy and position data of each target vehicle, so as to obtain an evaluation result of the to-be-evaluated area.
In one embodiment, the obtaining module 810 is specifically configured to determine, according to the electric quantity information of each vehicle in the area to be evaluated, a target vehicle in each vehicle included in the area to be evaluated;
and inquiring and acquiring the power conversion data of each target object, and acquiring the position data of each target vehicle.
In one embodiment, the power change data includes a number of average power changes, a time length of average power changes, a power change completion rate, an average power change waiting time length, power-failure vehicle loss data and power-failure order loss data, and the determining module 820 is specifically configured to determine a first power change score of each target object according to the number of average power changes and the time length of average power changes in the power change data corresponding to each target object;
And determining a second power change score of each target object according to the power change completion rate, the average power change waiting time, the power-failure vehicle loss data and the power-failure order loss data.
In one embodiment, the determining module 820 is specifically configured to perform product calculation on the average power-change waiting duration, the power-failure vehicle loss data, and the power-failure order loss data corresponding to each target object, so as to obtain power-failure loss data corresponding to each target object;
and determining a second power conversion score of each target object according to the power conversion completion rate and the power failure loss data.
In one embodiment, the processing module 830 is specifically configured to determine a target evaluation sub-area in the area to be evaluated according to a preset evaluation policy;
determining a first power conversion score and a second power conversion score of a target object corresponding to each target evaluation subarea according to the position data of each target vehicle;
determining a comprehensive score of each target evaluation subarea according to the first power conversion score and the second power conversion score of each target object in each target evaluation subarea;
and determining an evaluation result of the region to be evaluated according to the comprehensive scores of the target evaluation sub-regions.
In one embodiment, the processing module 830 is specifically configured to sort the target evaluation sub-areas according to the order of importance of the target evaluation sub-areas from big to small, so as to obtain a sorting result of the target evaluation sub-areas;
And determining the evaluation result of the region to be evaluated according to the matching relation between the comprehensive score of each target evaluation sub-region and the sequencing result of each target evaluation sub-region.
In one embodiment, the processing module 830 is specifically configured to calculate an overall comprehensive score of the region to be evaluated according to the comprehensive score and the weight coefficient of each target evaluation sub-region;
and determining an evaluation result of the region to be evaluated according to the overall comprehensive score of the region to be evaluated and a preset evaluation grade threshold.
Each of the modules in the above-described data processing apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 9. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a data processing method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 9 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring power conversion data corresponding to each target object in the region to be evaluated and position data of each target vehicle;
determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object;
and carrying out data processing on the first power conversion score and the second power conversion score of each target object in the region to be evaluated according to a preset evaluation strategy and position data of each target vehicle to obtain an evaluation result of the region to be evaluated.
In one embodiment, the processor when executing the computer program further performs the steps of:
determining a target vehicle in each vehicle contained in the region to be evaluated according to the electric quantity information of each vehicle in the region to be evaluated;
And inquiring and acquiring the power conversion data of each target object, and acquiring the position data of each target vehicle.
In one embodiment, the processor when executing the computer program further performs the steps of:
determining a first power conversion score of each target object according to the average power conversion number and the average work time length in the power conversion data corresponding to each target object;
and determining a second power change score of each target object according to the power change completion rate, the average power change waiting time, the power-failure vehicle loss data and the power-failure order loss data.
In one embodiment, the processor when executing the computer program further performs the steps of:
calculating the product of average power-changing waiting time, power-failure vehicle loss data and power-failure order loss data corresponding to each target object to obtain power-failure loss data corresponding to each target object;
and determining a second power conversion score of each target object according to the power conversion completion rate and the power failure loss data.
In one embodiment, the processor when executing the computer program further performs the steps of:
determining a target evaluation subarea in the area to be evaluated according to a preset evaluation strategy;
determining a first power conversion score and a second power conversion score of a target object corresponding to each target evaluation subarea according to the position data of each target vehicle;
Determining a comprehensive score of each target evaluation subarea according to the first power conversion score and the second power conversion score of each target object in each target evaluation subarea;
and determining an evaluation result of the region to be evaluated according to the comprehensive scores of the target evaluation sub-regions.
In one embodiment, the processor when executing the computer program further performs the steps of:
sequencing all the target evaluation subareas according to the sequence of the importance degree of all the target evaluation subareas from big to small to obtain sequencing results of all the target evaluation subareas;
and determining the evaluation result of the region to be evaluated according to the matching relation between the comprehensive score of each target evaluation sub-region and the sequencing result of each target evaluation sub-region.
In one embodiment, the processor when executing the computer program further performs the steps of:
calculating the overall comprehensive score of the region to be evaluated according to the comprehensive score and the weight coefficient of each target evaluation sub-region;
and determining an evaluation result of the region to be evaluated according to the overall comprehensive score of the region to be evaluated and a preset evaluation grade threshold.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
The user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as Static Random access memory (Static Random access memory AccessMemory, SRAM) or dynamic Random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A method of data processing, the method comprising:
acquiring power conversion data corresponding to each target object in the region to be evaluated and position data of each target vehicle;
determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object;
according to a preset evaluation strategy and position data of each target vehicle, performing data processing on a first power conversion score and a second power conversion score of each target object in the region to be evaluated to obtain an evaluation result of the region to be evaluated;
The power conversion data comprise average power conversion number, average power conversion working time length, power conversion completion rate, average power conversion waiting time length, power-shortage vehicle loss data and power-shortage order loss data; the determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object includes:
determining a first power conversion score of each target object according to the average power conversion number and the average working time length in the power conversion data corresponding to each target object;
determining a second power change score of each target object according to the power change completion rate, the average power change waiting time, the power-shortage vehicle loss data and the power-shortage order loss data;
the data processing is performed on the first power conversion score and the second power conversion score of each target object in the to-be-evaluated area according to a preset evaluation strategy and position data of each target vehicle, so as to obtain an evaluation result of the to-be-evaluated area, including:
determining a target evaluation subarea in the area to be evaluated according to a preset evaluation strategy;
determining a first power conversion score and a second power conversion score of the target object corresponding to each target evaluation subarea according to the position data of each target vehicle;
Determining a comprehensive score of each target evaluation subarea according to the first power conversion score and the second power conversion score of each target object in each target evaluation subarea;
and determining the evaluation result of the region to be evaluated according to the comprehensive score of each target evaluation sub-region.
2. The method according to claim 1, wherein the obtaining the power conversion data corresponding to each target object in the area to be evaluated and the position data of each target vehicle includes:
determining a target vehicle in each vehicle contained in the to-be-evaluated area according to the electric quantity information of each vehicle in the to-be-evaluated area;
and inquiring and acquiring the power conversion data of each target object, and acquiring the position data of each target vehicle.
3. The method of claim 1, wherein the determining a second power change score for each of the target objects based on the power change completion rate, the average power change wait period, the power-on-demand vehicle loss data, and the power-on-demand order loss data comprises:
performing product calculation on the average power-changing waiting time length, the power-failure vehicle loss data and the power-failure order loss data corresponding to each target object to obtain power-failure loss data corresponding to each target object;
And determining a second power conversion score of each target object according to the power conversion completion rate and the power failure loss data.
4. The method according to claim 1, wherein determining the evaluation result of the region to be evaluated according to the composite score of each target evaluation sub-region comprises:
sequencing the target evaluation subareas according to the sequence of the importance degree of the target evaluation subareas from big to small to obtain sequencing results of the target evaluation subareas;
and determining the evaluation result of the region to be evaluated according to the matching relation between the comprehensive score of each target evaluation sub-region and the sequencing result of each target evaluation sub-region.
5. The method according to claim 1, wherein determining the evaluation result of the region to be evaluated according to the composite score of each target evaluation sub-region comprises:
calculating the overall comprehensive score of the region to be evaluated according to the comprehensive score and the weight coefficient of each target evaluation sub-region;
and determining an evaluation result of the region to be evaluated according to the overall comprehensive score of the region to be evaluated and a preset evaluation grade threshold.
6. A data processing apparatus, the apparatus comprising:
the acquisition module is used for acquiring power conversion data corresponding to each target object in the region to be evaluated and position data of each target vehicle;
the determining module is used for determining a first power conversion score and a second power conversion score of each target object according to the power conversion data corresponding to each target object;
the processing module is used for carrying out data processing on the first power conversion score and the second power conversion score of each target object in the to-be-evaluated area according to a preset evaluation strategy and the position data of each target vehicle to obtain an evaluation result of the to-be-evaluated area;
the power conversion data comprise average power conversion number, average power conversion working time length, power conversion completion rate, average power conversion waiting time length, power-shortage vehicle loss data and power-shortage order loss data; the determining module is specifically configured to determine a first power conversion score of each target object according to the average power conversion number and the average working time length in the power conversion data corresponding to each target object;
determining a second power change score of each target object according to the power change completion rate, the average power change waiting time, the power-shortage vehicle loss data and the power-shortage order loss data;
The processing module is specifically configured to determine a target evaluation sub-area in the to-be-evaluated area according to a preset evaluation policy;
determining a first power conversion score and a second power conversion score of the target object corresponding to each target evaluation subarea according to the position data of each target vehicle;
determining a comprehensive score of each target evaluation subarea according to the first power conversion score and the second power conversion score of each target object in each target evaluation subarea;
and determining the evaluation result of the region to be evaluated according to the comprehensive score of each target evaluation sub-region.
7. The device according to claim 6, wherein the obtaining module is specifically configured to determine a target vehicle from the vehicles contained in the area to be evaluated according to the electric quantity information of the vehicles in the area to be evaluated;
and inquiring and acquiring the power conversion data of each target object, and acquiring the position data of each target vehicle.
8. The apparatus of claim 6, wherein the determining module is specifically configured to perform product calculation on the average power-change waiting duration, the power-failure vehicle loss data, and the power-failure order loss data corresponding to each of the target objects, to obtain power-failure loss data corresponding to each of the target objects;
And determining a second power conversion score of each target object according to the power conversion completion rate and the power failure loss data.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
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| CN113071364A (en) * | 2021-04-01 | 2021-07-06 | 上海钧正网络科技有限公司 | Battery scheduling evaluation method and device and computer readable storage medium |
| CN113547949A (en) * | 2021-07-02 | 2021-10-26 | 上海钧正网络科技有限公司 | Electricity swapping task generation method and device, terminal and storage medium |
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| CN113071364A (en) * | 2021-04-01 | 2021-07-06 | 上海钧正网络科技有限公司 | Battery scheduling evaluation method and device and computer readable storage medium |
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