Charging station inspection project generation method and device, equipment and medium

Abstract

The invention provides a charging station inspection project generation method and device, equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: obtaining the station data of a to-be-inspected charging station and a plurality of scoring indexes; for each scoring index, classifying the station data according to the corresponding relationship between the data type of the station data and the scoring index to obtain to-be-counted data corresponding to the scoring index; for each scoring index, counting the to-be-counted data according to a statistical rule corresponding to the scoring index, and taking a statistical result as a scoring index value corresponding to the scoring index; and taking the inspection items corresponding to the scoring index values as the inspection items for generating the charging station to be inspected according to the corresponding relationship between the scoring index values and the inspection items. According to the technical scheme of the embodiment of the invention, the automatic generation of the inspection item can be realized, the manual workload is reduced, the accuracy of inspection item determination is improved, and the improvement of the efficiency of subsequent inspection work is facilitated.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method, device, equipment and medium for generating inspection items for a charging station. Background Art

[0002] With the rapid development of new energy vehicles, the number of charging stations is increasing. In order to ensure the normal operation of charging stations, it is necessary to inspect the equipment in the charging stations, promptly detect equipment failures in the stations and repair them in time.

[0003] At present, most of the inspection work of charging stations is done manually. Due to the scattered construction and wide distribution of charging stations, the inspection workload of staff is heavy and it is impossible to inspect all stations in time. At the same time, during the inspection process, the staff mainly checks the physical status of the equipment, which requires high technical and experience requirements for the staff, resulting in some equipment failures not being discovered or missed, affecting the accuracy of the inspection work. Summary of the invention

[0004] In view of this, an object of the present invention is to provide a method for generating inspection items for charging stations, which automatically generates inspection items for the charging stations to be inspected by acquiring station data of the charging stations to be inspected, thereby improving the certainty of the inspection items and helping to improve the efficiency of subsequent inspection work.

[0005] In a first aspect, an embodiment of the present invention provides a method for generating inspection items of a charging station, comprising: Obtain the station data and multiple scoring indicators of the charging stations to be inspected; the station data is used to characterize the status of the equipment in the charging stations to be inspected, and the scoring indicators include: alarm rate, number of work orders, station gene, station scale, station characteristic data, station health status, month-on-month capacity, month-on-month availability, and month-on-month current satisfaction rate; For each scoring indicator, the station data is classified according to the corresponding relationship between the data type of the station data and the scoring indicator, and the statistical data corresponding to the scoring indicator is obtained; the data types of the station data include: image data, station equipment relationship data, station equipment measurement model data, station equipment alarm message data, station equipment charging message data, station basic information data and station work order system data; For each scoring indicator, the statistical data are counted according to the statistical rules corresponding to the scoring indicator, and the statistical results are used as the scoring indicator values ​​corresponding to the scoring indicator; According to the corresponding relationship between the scoring index values ​​and the inspection items, the inspection items corresponding to the scoring index values ​​are used as the inspection items of the charging stations to be inspected.

[0006] In a preferred embodiment of the present invention, the above-mentioned acquisition of the charging station data to be inspected includes: Acquiring initial station data of at least one charging station; For each charging station, the charging time included in the initial station data is counted to determine the ranking result of each charging station; According to the sorting results, a preset number of charging stations are selected as charging stations to be inspected; The initial station data of the charging station to be inspected is used as the station data of the charging station to be inspected.

[0007] In a preferred embodiment of the present invention, the above-mentioned counting of the charging duration included in the initial station data to determine the ranking result of each charging station includes: For each charging station, the charging time included in the initial station data is counted to obtain the cumulative charging time corresponding to the charging station; The charging stations are sorted according to the accumulated charging times corresponding to the charging stations to obtain a sorting result.

[0008] In a preferred embodiment of the present invention, the station data includes first station data collected in a first historical time period and second station data collected in a second historical time period; for each scoring indicator, the station data is classified according to the corresponding relationship between the data type of the station data and the scoring indicator to obtain the statistical data to be counted corresponding to the scoring indicator, including: For each scoring indicator, determine a collection time period corresponding to the scoring indicator; the collection time period includes a first historical time period, or the first historical time period and a second historical time period; According to the collection time period and the correspondence between the data type of the station data and the scoring index, the station data is screened to obtain the initial statistical data corresponding to the scoring index.

[0009] In a preferred embodiment of the present invention, according to the correspondence between the scoring index values ​​and the inspection items, after taking the inspection items corresponding to the scoring index values ​​as the inspection items of the charging station to be inspected, the following is further included: Get the indicator weight corresponding to each scoring indicator value; The weighted sum of the values ​​of each scoring indicator is performed according to the corresponding indicator weight to determine the comprehensive scoring value of the charging station to be inspected; The inspection cycle of the charging station to be inspected is determined based on the correspondence between the comprehensive score value and the inspection items.

[0010] In a preferred embodiment of the present invention, the method further comprises: Generate at least one inspection work order based on the inspection items and inspection cycles; According to the feedback of inspection work order information, the inspection results corresponding to each inspection work order are determined.

[0011] In a second aspect, an embodiment of the present invention further provides a device for generating inspection items for a charging station, comprising: The data acquisition module is used to obtain the station data of the charging station to be inspected and multiple scoring indicators; the station data is used to characterize the status of the equipment in the charging station to be inspected, and the scoring indicators include: alarm rate, number of work orders, station gene, station scale, station characteristic data, station health status, transportation capacity month-on-month, availability month-on-month and current satisfaction rate month-on-month; The statistical data determination module is used to classify the station data according to the corresponding relationship between the data type of the station data and the scoring index for each scoring index, and obtain the statistical data to be calculated corresponding to the scoring index; wherein the data types of the station data include: image data, station equipment relationship data, station equipment measurement model data, station equipment alarm message data, station equipment charging message data, station basic information data and station work order system data; The indicator value determination module is used to count the statistical data for each scoring indicator according to the statistical rules corresponding to the scoring indicator, and use the statistical results as the scoring indicator value corresponding to the scoring indicator; The inspection item generation module is used to generate the inspection items corresponding to the scoring indicator values ​​as the inspection items for the charging stations to be inspected according to the corresponding relationship between the scoring indicator values ​​and the inspection items.

[0012] In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the charging station inspection item generation method of the first aspect above.

[0013] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the charging station inspection item generation method of the first aspect mentioned above.

[0014] In a fifth aspect, an embodiment of the present invention further provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the method for generating inspection items for charging stations according to the first aspect.

[0015] The embodiments of the present invention bring the following beneficial effects: An embodiment of the present invention provides a method for generating inspection items for charging stations. The method obtains station data of charging stations to be charged, performs statistics on the station data according to different scoring indicators, determines scoring indicator data, and generates inspection items for charging stations to be inspected according to the correspondence between scoring indicator values ​​and inspection items. The method realizes automatic generation of inspection items. Compared with the prior art, the method provides clear guidance for manual inspections, avoids the problem of missed faults caused by manual inspections, improves the certainty of inspection items, reduces the workload of manual inspections, and helps to improve the efficiency of inspection work.

[0016] Other features and advantages of the present invention will be set forth in the following description, or some features and advantages may be inferred or unambiguously determined from the description, or may be learned by implementing the above-mentioned technology of the present invention.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A flowchart of a method for generating inspection items for a charging station provided in an embodiment of the present invention; Figure 2 Another charging station inspection item generation method provided by the embodiment of the present invention Figure 1 ; Figure 3 Another charging station inspection item generation method provided by the embodiment of the present invention Figure 2 ; Figure 4 Another charging station inspection item generation method provided by the embodiment of the present invention Figure 3 ; Figure 5 A schematic diagram of the structure of a charging station inspection item generating device provided by an embodiment of the present invention; Figure 6 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] With the rapid development of new energy vehicles, the number of charging stations is increasing. In order to ensure the normal operation of charging stations, it is necessary to inspect the equipment in the charging stations, promptly detect the failure of the equipment in the stations and repair them in time.

[0022] At present, most of the inspection work of charging stations is done manually. Due to the scattered construction and wide distribution of charging stations, the inspection workload of staff is heavy and it is impossible to inspect all stations in time. At the same time, during the inspection process, the staff mainly checks the physical status of the equipment, which requires high technical and experience requirements for the staff, resulting in some equipment failures not being discovered or missed, affecting the accuracy of the inspection work.

[0023] Based on this, an embodiment of the present invention provides a method for generating inspection items for charging stations. The method obtains the station data of the charging stations to be inspected and performs statistics to determine the scoring index data. According to the correspondence between the scoring index values ​​and the inspection items, the inspection items for the charging stations to be inspected are generated to realize the automatic generation of inspection items, avoid the problem of missed faults caused by manual inspections, thereby improving the accuracy of inspection item determination, reducing the workload of manual inspections, and improving the efficiency of inspection work.

[0024] To facilitate understanding of this embodiment, a method for generating inspection items for a charging station disclosed in an embodiment of the present invention is first introduced in detail.

[0025] Example 1 The embodiment of the present invention provides a method for generating inspection items of a charging station. Figure 1 The present invention provides a flow chart of a method for generating inspection items for a charging station. Figure 1 As shown, the charging station inspection item generation method may include the following steps: Step S101, obtaining station data of the charging station to be inspected and a plurality of scoring indicators.

[0026] The charging station to be inspected refers to the charging station that needs to be inspected. The station data refers to the data used to describe the status of the equipment in the charging station. In the embodiment of the present invention, the data type of the station data includes at least image data, station equipment relationship data, station equipment measurement model data, station equipment alarm message data, station equipment charging message data, station basic information data and station work order system data.

[0027] Among them, the image data is used to describe the image captured by the image acquisition device of the charging station. The station equipment relationship data is used to describe the relationship between multiple charging piles in the charging station, including the centralized control type and product type. The product type is used to describe the control method when the charging pile is charging. Exemplarily, the control method can be a group charging method and a single charging method.

[0028] The field equipment measurement model data is used to describe the data of the operating status of the charging pile. Exemplarily, the field equipment measurement model data includes charging pile status data, telemetry data and telesignaling data. Charging pile status data is used to describe the operating status of the charging pile, such as charging, idle, faulty and off-grid. Telemetry data refers to remote measurement data in the power system, that is, data such as voltage, current, power on the line that describes the load and power supply of the charging pile. Telesignaling data refers to remote signal data, such as protection and switch quantity information.

[0029] The basic information data of the station is used to describe the characteristics of the charging station, such as location characteristics, environmental characteristics, station type, etc. Among them, location characteristics include whether it is a main road, whether it is coastal, or whether it is at high altitude; environmental characteristics include whether there are serious willow catkins, etc.; station types include bus-only stations, non-bus-only stations, and personal charging piles, etc.

[0030] Station equipment alarm message data refers to the alarm information sent when each device in the charging station fails. Station equipment charging message data refers to the message data sent by the charging pile equipment in the charging station when charging. Station work order system data refers to the record data stored in the station work order system for charging station equipment that has been repaired, is being repaired, and has not yet started repair.

[0031] Scoring indicators are used to describe the properties or status of charging stations or equipment in charging stations. Scoring indicators can be used to quantitatively evaluate charging stations or equipment in charging stations. Among them, the scoring indicators include at least: alarm rate, number of work orders, station genes, station scale, station feature data, station health status, transportation capacity month-on-month, availability month-on-month and current satisfaction rate month-on-month. Specifically, the alarm rate refers to the number of times that the equipment in the charging station to be inspected sends station equipment alarm message data per unit time, that is, the number of station equipment alarm messages. The number of work orders refers to the number of station work order system data in the historical time period. Station genes are used to classify charging stations. Station genes include good genes, general genes, poor genes and uncalculated. The corresponding charging station categories are high-quality stations, inefficient stations, invalid stations and uncalculated. Station scale is used to describe the size of the station. Station feature data is used to describe the characteristics of the charging station, including location characteristics and environmental characteristics. The station health status is used to describe the working status of each device in the charging station. The month-on-month operation capacity is used to describe the change in the charging capacity of the fast charging terminals in the charging station. The month-on-month availability rate is used to describe the change in the number of charging terminals that can be used normally in the charging station. The month-on-month current satisfaction rate is used to describe the change in the current satisfaction rate in the charging station.

[0032] Specifically, the data collected by the data collection equipment installed at the charging station to be inspected, as well as the data generated by the operation of the equipment in the charging station to be inspected, are used as the station data of the charging station. The charging station inspection project generation system obtains the station data within a certain time period between the current time and the charging station to be inspected, where the certain time period can be one month, one quarter, or one year. In the charging station inspection project generation system, multiple scoring indicators can be pre-set, and the staff can select some or all of the scoring indicators from the multiple scoring indicators as the scoring indicators of the charging station to be inspected.

[0033] Step S102: for each scoring indicator, the station data is classified according to the corresponding relationship between the data type of the station data and the scoring indicator to obtain the statistical data to be counted corresponding to the scoring indicator.

[0034] Specifically, the correspondence between the data type of the station data and the scoring index can be preset, and the data type of a station data can correspond to at least one scoring index. The data to be counted refers to the data used to obtain the scoring index. It can be understood that the data to be counted corresponding to different scoring indicators are different, or partially the same. The station data can be classified according to the data type of the station data, and for each scoring index, the data of the data type corresponding to the scoring index in the station data is used as the data to be counted.

[0035] Exemplarily, when the scoring indicator is the station scale, the data type of the corresponding station data is the station equipment relationship data, and the station equipment relationship data in the station data can be used as the statistical data to be counted corresponding to the station scale. When the scoring indicator is the alarm rate, the data type of the corresponding station data is the station equipment alarm message data, and the station equipment alarm message data in the station data can be used as the statistical data to be counted corresponding to the alarm rate. When the scoring indicator is the number of work orders, the data type of the corresponding station data is the station work order system data, and the station work order system data in the station data can be used as the statistical data to be counted corresponding to the number of work orders. When the scoring indicator is the station gene, the data type of the corresponding station data is the station basic information data, and the station basic information data in the station data can be used as the statistical data to be counted corresponding to the station gene. When the scoring indicator is the station feature data, the data type of the corresponding station data is the station basic information data, and the station basic information data in the station data can be used as the statistical data to be counted corresponding to the station feature data. When the scoring indicator is the station health status, the corresponding data type of the station data is the station equipment measurement model data, and the station equipment measurement model data in the station data can be used as the statistical data corresponding to the station health status. When the scoring indicator is the month-on-month operation capacity, month-on-month availability, or month-on-month current satisfaction rate, the corresponding data type of the station data is the station equipment charging message data, and the station equipment charging message data in the station data can be used as the statistical data corresponding to the month-on-month operation capacity, month-on-month availability, or month-on-month current satisfaction rate.

[0036] Step S103 , for each scoring indicator, statistics are performed on the statistical data according to the statistical rules corresponding to the scoring indicator, and the statistical results are used as the scoring indicator values ​​corresponding to the scoring indicator.

[0037] For each scoring indicator, the statistical rules corresponding to the scoring indicator are obtained by table lookup or other means, the statistical data are counted to obtain the statistical results, and the statistical results are used as the scoring indicator value corresponding to the scoring indicator.

[0038] Exemplarily, the scoring indicator is the alarm rate, the statistical rule is to calculate the number of alarm messages per unit time, and according to the statistical rule, the number of statistical data to be counted per unit time is calculated, and the calculation result is used as the scoring indicator value.

[0039] Step S104, according to the correspondence between the scoring index values ​​and the inspection items, the inspection items corresponding to the scoring index values ​​are used as the inspection items of the charging station to be inspected.

[0040] Inspection items are used to indicate what needs to be inspected and the inspection cycle when the staff inspects the charging station. The inspection content includes at least one of the following: inspection requirements, inspection standards, whether photos need to be uploaded, and inspection methods. For example, in an inspection item, the inspection requirement is to check whether the indicator light of the power distribution cabinet is normal; the inspection standard is whether the indicator light of the power distribution cabinet is normal; whether photos need to be uploaded is no.

[0041] Based on the scoring index values, it can be determined by looking up a table or other means to determine whether the charging station needs to be inspected, as well as the inspection items, etc.

[0042] An embodiment of the present invention provides a method for generating inspection items for charging stations. The method obtains station data of a charging station, performs statistics on the station data according to different scoring indicators, determines the scoring indicator values, and generates inspection items for the charging station to be inspected according to the corresponding relationship between the scoring indicator values ​​and the inspection items. The method realizes the automatic generation of inspection items. Compared with the prior art, the method provides clear guidance for manual inspections, avoids the problem of missed faults caused by manual inspections, improves the accuracy of inspection item determination, reduces the workload of manual inspections, and helps to improve the efficiency of inspection work.

[0043] Example 2 The embodiment of the present invention also provides another method for generating inspection items of charging stations; this method is implemented on the basis of the method of the above embodiment; this method focuses on describing the specific implementation method of obtaining the station data of the charging station to be inspected.

[0044] Figure 2 Another charging station inspection item generation method provided by the embodiment of the present invention Figure 1 ,like Figure 2 As shown, the charging station inspection item generation method may include the following steps: Step S201, obtaining initial station data of at least one charging station.

[0045] The charging station inspection project generation system can manage all charging stations in a preset area, where the preset area can be a city or a province. Specifically, the charging station inspection project generation system obtains the station data of each charging station in the preset area, that is, the initial station data.

[0046] Step S202: for each charging station, the charging duration included in the initial station data is counted to determine the ranking result of each charging station.

[0047] Charging time refers to the length of time that each charging pile in the charging station performs charging work. The sorting result can be the arrangement order of the charging stations. The initial station data includes charging time, and the data type of the initial station data includes charging message data of the station equipment. The charging message data of the station equipment can be parsed to obtain the charging time.

[0048] Specifically, for each charging station, the charging time included in the initial station data is counted, that is, the charging time in the initial station data is added, and the result of the addition is used as the statistical result corresponding to each charging station, that is, the cumulative time corresponding to each charging station. The charging stations are sorted according to the cumulative time corresponding to each charging station to obtain the sorting results of each charging station. In this application, the charging stations can be sorted in order from large to small according to the cumulative time, or they can be sorted in order from small to large.

[0049] Step S203: According to the sorting result, a preset number of charging stations are selected as charging stations to be inspected.

[0050] Specifically, according to the sorting result, a preset number of charging stations are selected from the charging stations as the charging stations to be inspected. Exemplarily, the sorting result is to sort the charging stations in descending order according to the cumulative time, and select the first N charging stations as the charging stations to be inspected.

[0051] Step S204: using the initial station data of the charging station to be inspected as the station data of the charging station to be inspected.

[0052] Specifically, when a charging station is determined to be a charging station to be inspected, the initial station data of the charging station is also determined to be the station data of the charging station to be inspected. That is, the initial station data of the charging station to be inspected is used as the station data of the charging station to be inspected from the initial station data of the charging station.

[0053] Step S205, obtaining multiple scoring indicators.

[0054] Step S206: for each scoring indicator, the station data is classified according to the corresponding relationship between the data type of the station data and the scoring indicator to obtain the statistical data to be counted corresponding to the scoring indicator.

[0055] Step S207: for each scoring indicator, statistics are performed on the statistical data according to the statistical rules corresponding to the scoring indicator, and the statistical results are used as the scoring indicator values ​​corresponding to the scoring indicator.

[0056] Step S208, according to the correspondence between the scoring index values ​​and the inspection items, the inspection items corresponding to the scoring index values ​​are used as the inspection items of the charging station to be inspected.

[0057] The method for generating inspection items for charging stations provided in an embodiment of the present invention determines the ranking results of the charging stations by counting the charging time included in the initial station data of at least one charging station, and determines the charging stations to be inspected according to the ranking results. It is possible to inspect charging stations with longer charging times, that is, to inspect charging stations with more charging work, and to appropriately reduce the inspection of charging stations with less charging work, thereby reducing the inspection workload and improving the inspection efficiency.

[0058] Example 3 An embodiment of the present invention also provides another method for generating inspection items for charging stations; this method is implemented on the basis of the method in the above embodiment; this method focuses on describing a specific implementation method for generating inspection items for charging stations to be inspected based on the correspondence between the scoring index values ​​and the inspection items.

[0059] Figure 3 Another charging station inspection item generation method provided by the embodiment of the present invention Figure 2 ,like Figure 3 As shown, the charging station inspection item generation method may include the following steps: Step S301, obtaining the station data of the charging station to be inspected and a plurality of scoring indicators.

[0060] The station data includes first station data collected in a first historical time period and second station data collected in a second historical time period.

[0061] Step S302: for each scoring indicator, determine the collection time period corresponding to the scoring indicator.

[0062] The collection time period refers to the time period corresponding to the site data that needs to be counted when calculating the scoring index value. The collection time period includes the first historical time period, or the first historical time period and the second historical time period. The first historical time period and the second historical time period are two consecutive time periods before the current moment, and the second historical time period is before the first historical time period. For example, the current moment is July 7, the first historical time period is from June 7 to July 6, and the second historical event period is from May 7 to June 6.

[0063] Specifically, according to the scoring index, the collection time period required for calculating the scoring index value is queried. It is understandable that when counting station data and determining the scoring index value, it may be necessary to count station data for one historical time period or two historical time periods.

[0064] Exemplarily, when the scoring indicator is the month-on-month transportation capacity, it corresponds to the first historical time period and the second historical time period, that is, when calculating the month-on-month transportation capacity value, the station data of the charging stations to be inspected in two historical time periods are required; when the scoring indicator is the station gene, it corresponds to the first historical time period, that is, when calculating the station gene value, the station data of the charging stations to be inspected in one historical time period is required.

[0065] It can be understood that when the scoring indicators are alarm rate, number of work orders, station genes, station scale and station characteristic data, the corresponding collection time period is the first historical time period; when the scoring indicators are station health status, month-on-month capacity, month-on-month availability and month-on-month current satisfaction rate, the corresponding collection time periods are the first historical time period and the second historical time period.

[0066] Step S303, screening the station data according to the collection time period and the corresponding relationship between the data type of the station data and the scoring index, to obtain the statistical data to be counted corresponding to the scoring index.

[0067] Specifically, for each scoring indicator, the station data within the collection time period is used as the initial statistics to be counted. From the initial statistics to be counted, the data of the data type corresponding to the scoring indicator is used as the statistics to be counted. It can be understood that the station data includes the first station data collected within the first historical time period and the second station data collected within the second historical time period. For each scoring indicator, if the collection time period corresponding to the scoring indicator is the first historical time period, the first station data is used as the initial statistics to be counted. If the collection time period corresponding to the scoring indicator is the first historical time period and the second historical time period, the first station data and the second station data are used as the initial statistics to be counted.

[0068] Exemplarily, the scoring indicator is the alarm rate, the corresponding collection time period is the first historical time period, the first station data is used as the initial statistical data to be counted, the data type of the station data corresponding to the scoring indicator is the station equipment alarm message data, and the station equipment alarm message data is extracted from the initial statistical data as the statistical data to be counted.

[0069] Step S304: for each scoring indicator, statistics are performed on the statistical data according to the statistical rules corresponding to the scoring indicator, and the statistical results are used as the scoring indicator values ​​corresponding to the scoring indicator.

[0070] Exemplarily, the scoring indicator is the alarm rate, and the data type of the site data corresponding to the preset alarm rate is the site equipment alarm message data. The site equipment alarm message data of the first historical time period is extracted from the site data as the statistical data to be counted, and the number of the statistical data to be counted per unit time is counted, that is, the number of alarm messages in the alarm message data is counted, and the number of alarm messages per unit time is used as the scoring indicator value corresponding to the alarm rate.

[0071] The scoring indicator is the number of work orders. The data type of the station data corresponding to the preset number of work orders is the station work order system data. The station work order system data of the first historical time period is extracted from the station data as the statistical data to be counted, and the number of statistical data to be counted is counted, that is, the number of work orders in the station work order system data is counted, and the sum of the number of work orders is used as the scoring indicator value corresponding to the number of work orders.

[0072] The scoring indicator is the station gene. The data type of the station data corresponding to the pre-set station gene is the station basic information data. The station basic information data of the first historical time period is extracted from the station data as the statistical data to be counted. The statistical data, that is, the station basic information data, is counted according to the statistical rules to obtain the scoring indicator value corresponding to the station gene. Specifically, the statistical rules are as follows: 1) Good genes: All corresponding indicators must meet the first-level indicators & (operating status: in operation) & (station type: not a bus station / not a non-bus station / not a personal pile / not a BOT); 2) General genes: All corresponding indicators must meet the first-level or second-level indicators & (operating status: in operation) & (station type: not a bus station / not a non-bus station / not a personal pile / not a BOT); 3) Poor genes: (operating status: in operation) & non-good genes & non-general genes & non-uncalculated & (station type: not a bus station / not a non-bus station / not a personal pile / not a BOT); 4) Uncalculated: (operating status: not in operation) / (station type: bus station / non-bus station / personal pile / BOT) / availability rate in the past 7 days has not been generated. Among them, the corresponding indicators include the average power of the fast charging terminal in operation, the length of time open to the outside world, and other indicators. You can determine whether the corresponding indicators meet the first-level indicators or second-level indicators by looking up the table.

[0073] The scoring indicator is the station scale, the data type of the station data corresponding to the preset station scale is the station equipment relationship data, the station equipment relationship data of the first historical time period is extracted from the station data as the statistical data to be counted, the statistical rule is to count the number of fast charging terminals or the number of charging piles in the station equipment relationship data, and the number of fast charging terminals or the number of charging piles in the statistical data to be counted is used as the scoring indicator value corresponding to the station scale. Specifically, the more the number of fast charging terminals or the number of charging piles, the higher the scoring indicator value.

[0074] The scoring index is the station characteristic data. The data type of the station data corresponding to the pre-set station characteristic data is the station basic information data. The station basic information data of the first historical time period is extracted from the station data as the statistical data to be counted. The statistical rule is to treat the statistical data, that is, the data in the station basic information data such as whether the location is a main road, whether it is coastal, whether it is at high altitude, whether the catkins are serious, and the type of station are counted. According to the statistical results, the scoring index value corresponding to the statistical results is determined by table lookup.

[0075] The scoring indicator is the station health status. The data type of the station data corresponding to the preset station health status is the station equipment measurement model data. The station equipment measurement model data of the first historical time period and the second historical time period are extracted from the station data as the statistical data to be counted. The statistical rule is to calculate the normal distribution, year-on-year results and month-on-month results of the statistical data, that is, the charging pile status data, telemetry data and telesignaling data in the station equipment measurement model data as the statistical results. According to the statistical results, the scoring indicator value corresponding to the statistical results is determined by looking up the table.

[0076] The scoring indicator is the month-on-month transportation capacity. The data type of the station data corresponding to the preset month-on-month transportation capacity is the station equipment charging message data. The station equipment charging message data of the first historical time period and the second historical time period are extracted from the station data as the statistical data to be counted. The statistical rule is to count the charging time and operating time in the station equipment charging message data in each historical time period to obtain the ratio of the charging time to the operating time. The month-on-month transportation capacity is calculated according to the ratio of the charging time to the operating time corresponding to the two historical time periods. The calculated month-on-month transportation capacity is used as the scoring indicator value corresponding to the month-on-month transportation capacity.

[0077] The scoring indicator is the month-on-month availability ratio. The data type of the station data corresponding to the preset month-on-month availability ratio is the station equipment charging message data. The station equipment charging message data of the first historical time period and the second historical time period are extracted from the station data as the statistical data to be counted. The statistical rule is that in each historical time period, the charging time and error time in the station equipment charging message data are counted to obtain the ratio of charging time to error time. The month-on-month ratio is calculated based on the ratio of charging time to error time corresponding to the two historical time periods. The calculated month-on-month ratio is used as the scoring indicator value corresponding to the month-on-month availability ratio. Among them, the error time includes the fault time and the off-grid time. The fault time refers to the length of time when the equipment fails, and the off-grid time refers to the length of time when the equipment is disconnected. It can be understood that when the equipment is off-grid, the charging station inspection project generation system cannot obtain the station equipment charging message data.

[0078] The scoring indicator is the current satisfaction rate month-on-month. The data type of the site data corresponding to the preset current satisfaction rate month-on-month is the site equipment charging message data. The site equipment charging message data of the first historical time period and the second historical time period are extracted from the site data as the statistical data to be counted. The statistical rule is that in each historical time period, the supply current and demand current in the site equipment charging message data are counted to obtain the ratio of the supply current to the demand current. The month-on-month is calculated based on the ratio of the supply current to the demand current corresponding to the two historical time periods. The calculated month-on-month is used as the scoring indicator value corresponding to the current satisfaction rate month-on-month.

[0079] Step S305: According to the correspondence between the scoring index values ​​and the inspection items, the inspection items corresponding to the scoring index values ​​are used as the inspection items of the charging station to be inspected.

[0080] The method for generating inspection items for charging stations provided in an embodiment of the present invention sets different indicator weights for different scoring indicators, and determines the inspection items according to the comprehensive scoring values ​​of the charging stations to be inspected. This method can take into account the influence of different scoring indicators in the process of determining the inspection items, thereby improving the accuracy of determining the inspection items.

[0081] Example 4 An embodiment of the present invention also provides another method for generating inspection items for charging stations; this method is implemented on the basis of the method in the above embodiment; this method focuses on describing a specific implementation method for generating inspection items for charging stations to be inspected based on the correspondence between the scoring index values ​​and the inspection items.

[0082] Figure 4 Another charging station inspection item generation method provided by the embodiment of the present invention Figure 3 ,like Figure 4 As shown, the charging station inspection item generation method may include the following steps: Step S401, obtaining the station data of the charging station to be inspected and a plurality of scoring indicators.

[0083] Step S402: for each scoring indicator, the station data is classified according to the corresponding relationship between the data type of the station data and the scoring indicator to obtain the statistical data to be counted corresponding to the scoring indicator.

[0084] Step S403: for each scoring indicator, statistics are performed on the statistical data according to the statistical rules corresponding to the scoring indicator, and the statistical results are used as the scoring indicator values ​​corresponding to the scoring indicator.

[0085] Step S404: According to the correspondence between the scoring index values ​​and the inspection items, the inspection items corresponding to the scoring index values ​​are used as the inspection items of the charging station to be inspected.

[0086] Step S405: Obtain the indicator weight corresponding to each scoring indicator value.

[0087] The indicator weight is used to describe the importance of the scoring indicator. The indicator weights of different scoring indicators can be the same or different. Specifically, a corresponding indicator weight can be set for each scoring indicator and used as the indicator weight corresponding to the scoring indicator value.

[0088] Step S406: Perform weighted summation on the values ​​of each scoring indicator according to the corresponding indicator weights to determine the comprehensive scoring value of the charging station to be inspected.

[0089] The comprehensive score value refers to the result of weighted summation of the scores of each score indicator. Specifically, each score indicator value is multiplied by the corresponding indicator weight, and then the products are added, that is, each score indicator value is weighted summed to obtain the comprehensive score value of the charging station to be inspected.

[0090] Step S407: Determine the inspection cycle of the charging station to be inspected according to the corresponding relationship between the comprehensive score value and the inspection items.

[0091] The inspection cycle corresponding to the comprehensive score value is queried by looking up the table and used as the inspection cycle of the charging station to be inspected.

[0092] Step S408: Generate at least one inspection work order according to the inspection items and the inspection cycle.

[0093] The inspection cycle is used to describe the time when the staff inspects the inspection items, that is, the inspection cycle. For example, the inspection cycle can be one month, that is, the inspection items are inspected once a month. The inspection work order is used to arrange the corresponding staff to inspect the charging stations to be inspected according to the inspection items and inspection cycles.

[0094] Specifically, there is at least one inspection item. For each inspection item and inspection cycle, corresponding staff are assigned, and a corresponding inspection work order is generated to instruct the corresponding staff to inspect the inspection items according to the inspection cycle, wherein the inspection work order includes the inspection items, inspection cycles and staff.

[0095] Step S409: Determine the inspection result corresponding to each inspection work order according to the fed-back inspection work order information.

[0096] Inspection work order information refers to the information that inspection staff members provide when conducting inspections according to the inspection items. Inspection results are used to describe whether the inspection work is completed, including whether the inspection is completed or not. According to the feedback of the inspection work order information, the inspection result corresponding to the inspection work order is determined. For example, when inspecting the charging station to be inspected, the staff members provide feedback of the inspection work order information according to the inspection requirements in the inspection items. After receiving the feedback of the inspection work order information, the reviewer can determine the inspection result corresponding to the inspection work order.

[0097] The charging station inspection item generation method provided in the embodiment of the present invention generates an inspection work order through the inspection content and inspection cycle in the inspection item, and determines the inspection result according to the feedback inspection work order information, which can improve the accuracy of inspection work order generation, supervise the inspection results, and improve the inspection quality.

[0098] Example 5 Corresponding to the above method embodiment, the embodiment of the present invention provides a device for generating inspection items of a charging station, Figure 5 A schematic diagram of a charging station inspection item generating device provided by an embodiment of the present invention is shown in FIG. Figure 5 As shown, the charging station inspection item generating device may include: The data acquisition module 501 is used to acquire the station data of the charging station to be inspected and multiple scoring indicators; wherein the station data is used to characterize the status of the equipment in the charging station to be inspected, and the scoring indicators include: alarm rate, number of work orders, station gene, station scale, station characteristic data, station health status, transportation capacity month-on-month, availability month-on-month and current satisfaction rate month-on-month; The statistical data determination module 502 is used to classify the station data according to the corresponding relationship between the data type of the station data and the scoring index for each scoring index, and obtain the statistical data to be calculated corresponding to the scoring index; wherein the data types of the station data include: image data, station equipment relationship data, station equipment measurement model data, station equipment alarm message data, station equipment charging message data, station basic information data and station work order system data; The indicator value determination module 503 is used to count the statistical data for each scoring indicator according to the statistical rules corresponding to the scoring indicator, and use the statistical results as the scoring indicator value corresponding to the scoring indicator; The inspection item generation module 504 is used to generate the inspection items corresponding to the scoring indicator values ​​as the inspection items of the charging station to be inspected according to the corresponding relationship between the scoring indicator values ​​and the inspection items.

[0099] The charging station inspection item generating device provided by the embodiment of the present invention obtains the station data of the charging station to be inspected, performs statistics on the station data according to different scoring indicators, determines the scoring indicator value, and generates the inspection items of the charging station to be inspected according to the correspondence between the scoring indicator value and the inspection items, thereby realizing the automatic generation of the inspection items. Compared with the prior art, it provides clear guidance for manual inspection, avoids the problem of missed faults caused by manual inspection, improves the certainty of the inspection items, reduces the workload of manual inspection, and helps to improve the efficiency of the inspection work.

[0100] In some embodiments, the data acquisition module 501 includes: An initial data acquisition unit, used to acquire initial station data of at least one charging station; A sorting unit, for counting the charging time included in the initial station data for each charging station, and determining a sorting result for each charging station; A station screening unit, used to select a preset number of charging stations as charging stations to be inspected according to the sorting result; The data determination unit is used to use the initial station data of the charging station to be inspected as the station data of the charging station to be inspected.

[0101] In some embodiments, the sorting unit is further configured to: For each charging station, the charging time included in the initial station data is counted to obtain the cumulative charging time corresponding to the charging station; The charging stations are sorted according to the accumulated charging times corresponding to the charging stations to obtain a sorting result.

[0102] In some embodiments, the station data includes first station data collected in a first historical time period and second station data collected in a second historical time period; the statistical data determination module 502 is further used to: For each scoring indicator, determine a collection time period corresponding to the scoring indicator; the collection time period includes a first historical time period, or the first historical time period and a second historical time period; According to the collection time period and the correspondence between the data type of the station data and the scoring index, the station data is screened to obtain the statistical data corresponding to the scoring index.

[0103] In some embodiments, the apparatus further comprises: A weight acquisition module is used to obtain the indicator weight corresponding to each scoring indicator; A comprehensive score acquisition module is used to perform weighted summation of the values ​​of each score indicator according to the corresponding indicator weight to determine the comprehensive score value of the charging station to be inspected; The inspection cycle determination module is used to determine the inspection cycle of the charging station to be inspected based on the corresponding relationship between the comprehensive score value and the inspection items.

[0104] In some embodiments, the apparatus further comprises: A work order generation module, used to generate at least one inspection work order according to the inspection items and inspection cycles; The inspection result determination module is used to determine the inspection result corresponding to each inspection work order based on the feedback inspection work order information.

[0105] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0106] Example 6 The embodiment of the present invention also provides an electronic device for executing the above-mentioned charging station inspection item generation method; see Figure 6 A structural schematic diagram of an electronic device is shown, which includes a memory 600 and a processor 601, wherein the memory 600 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 601 to implement the above-mentioned charging station inspection item generation method.

[0107] Further, Figure 6 The electronic device shown further includes a bus 602 and a communication interface 603 , and the processor 601 , the communication interface 603 and the memory 600 are connected via the bus 602 .

[0108] The memory 600 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 603 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 602 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0109] The processor 601 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 601. The above processor 601 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 600, and the processor 601 reads the information in the memory 500 and completes the steps of the method of the above embodiment in combination with its hardware.

[0110] An embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned charging station inspection item generation method. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0111] The computer program product for the method of generating inspection items for charging stations provided in the embodiment of the present invention includes a computer-readable storage medium storing a non-volatile program code executable by a processor. The instructions included in the program code can be used to execute the method described in the previous method embodiment. The specific implementation can be referred to the method embodiment, which will not be repeated here.

[0112] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0113] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0114] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0115] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0116] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that can be executed by a processor. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., various media that can store program codes.

[0117] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for generating inspection items for a charging station, characterized in that: include: Obtaining station data and multiple scoring indicators of the charging station to be inspected; wherein the station data is used to characterize the status of the equipment in the charging station to be inspected, and the scoring indicators include: alarm rate, number of work orders, station gene, station scale, station characteristic data, station health status, month-on-month capacity, month-on-month availability, and month-on-month current satisfaction rate; For each scoring indicator, the station data is classified according to the corresponding relationship between the data type of the station data and the scoring indicator to obtain the statistical data to be counted corresponding to the scoring indicator; wherein the data type of the station data includes: image data, station equipment relationship data, station equipment measurement model data, station equipment warning message data, station equipment charging message data, station basic information data and station work order system data; For each scoring indicator, the to-be-stated data are counted according to the statistical rules corresponding to the scoring indicator, and the statistical results are used as the scoring indicator values ​​corresponding to the scoring indicator; According to the correspondence between the scoring index values ​​and the inspection items, the inspection items corresponding to the scoring index values ​​are used as the inspection items of the charging station to be inspected.

2. The method according to claim 1, characterized in that The obtaining of the station data of the charging station to be inspected includes: Acquiring initial station data of at least one charging station; For each of the charging stations, the charging duration included in the initial station data is counted to determine a ranking result of each of the charging stations; According to the sorting result, a preset number of charging stations are selected as charging stations to be inspected; The initial station data of the charging station to be inspected is used as the station data of the charging station to be inspected.

3. The method according to claim 2, characterized in that The counting of the charging durations included in the initial station data to determine the ranking results of the charging stations includes: For each charging station, the charging duration included in the initial station data is counted to obtain the cumulative charging duration corresponding to the charging station; The charging stations are sorted according to the accumulated charging times corresponding to the charging stations to obtain a sorting result.

4. The method according to claim 1, characterized in that: The station data includes first station data collected in a first historical time period and second station data collected in a second historical time period; for each scoring indicator, the station data is classified according to the corresponding relationship between the data type of the station data and the scoring indicator to obtain the statistical data to be counted corresponding to the scoring indicator, including: For each scoring indicator, determine a collection time period corresponding to the scoring indicator; the collection time period includes a first historical time period, or a first historical time period and a second historical time period; According to the collection time period and the corresponding relationship between the data type of the site data and the scoring index, the site data is screened to obtain initial statistical data corresponding to the scoring index.

5. The method according to claim 1, characterized in that After the inspection items corresponding to the scoring indicator values ​​are used as the inspection items of the charging station to be inspected according to the corresponding relationship between the scoring indicator values ​​and the inspection items, the method further includes: Obtaining the indicator weight corresponding to each of the scoring indicators; Performing weighted summation of the scoring index values ​​according to the corresponding index weights to determine the comprehensive scoring value of the charging station to be inspected; The inspection cycle of the charging station to be inspected is determined according to the corresponding relationship between the comprehensive score value and the inspection items.

6. The method according to claim 5, characterized in that Also includes: Generate at least one inspection work order according to the inspection items and inspection cycles; According to the feedback of the inspection work order information, the inspection results corresponding to each inspection work order are determined.

7. A device for generating inspection items for a charging station, characterized in that: include: A data acquisition module, used to acquire station data and multiple scoring indicators of the charging station to be inspected; wherein the station data is used to characterize the status of the equipment in the charging station to be inspected, and the scoring indicators include: alarm rate, number of work orders, station gene, station scale, station characteristic data, station health status, transportation capacity month-on-month, availability month-on-month and current satisfaction rate month-on-month; A statistical data determination module is used to classify the station data according to the corresponding relationship between the data type of the station data and the scoring index for each scoring index, and obtain the statistical data to be calculated corresponding to the scoring index; wherein the data type of the station data includes: image data, station equipment relationship data, station equipment measurement model data, station equipment warning message data, station equipment charging message data, station basic information data and station work order system data; An indicator value determination module is used to count the to-be-counted data for each scoring indicator according to the statistical rules corresponding to the scoring indicator, and use the statistical results as the scoring indicator value corresponding to the scoring indicator; The inspection item generation module is used to generate the inspection items of the charging station to be inspected based on the corresponding relationship between the scoring indicator values ​​and the inspection items, and to use the inspection items corresponding to the scoring indicator values ​​as the inspection items.

8. An electronic device, characterized in that: It includes a processor and a memory, the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the charging station inspection item generation method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by the processor, the computer-executable instructions prompt the processor to implement the method for generating charging station inspection items according to any one of claims 1 to 6.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the method for generating inspection items for a charging station as described in any one of claims 1 to 6 is implemented.

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