A charging pile operation management method and system based on data analysis

Abstract

The present invention provides a charging pile operation management method and system based on data analysis, which belongs to the technical field of charging pile management, and specifically comprises: obtaining usage data of charging piles in different service areas, determining busy service areas in the service areas according to the usage data of charging piles in different service areas, determining distribution data of charging piles in a charging pile group in different busy service areas, and when it is determined that the charging pile group does not belong to a preset group type in combination with the usage data of charging piles in different busy service areas, obtaining distribution data of charging piles of preset group types in different service areas, and determining data interaction strategies of different charging piles in combination with historical usage data of charging piles in the service areas, utilizing the data interaction strategy, and adopting a unified data interaction protocol to perform interaction processing of charging piles that do not belong to the preset group type through a charging pile operation platform, thereby realizing unified management of charging piles.

Description

Technical Field

[0001] The present invention belongs to the technical field of charging pile management, and in particular relates to a charging pile operation management method and system based on data analysis. Background Art

[0002] Within existing service areas, charging pile operation and management requires logging into platforms provided by different manufacturers to implement remote supervision, which increases the workload of managers. At the same time, there are also problems such as the data source being the systems provided by various manufacturers, the accuracy being difficult to verify, and network security.

[0003] In order to solve the above technical problems, the invention patent application CN202410992574.5 "Charging pile processing method and device, storage medium and electronic device" solves the problem of poor effect of connecting charging piles with different types of data transmission protocols to the charging pile operation platform in the related art through the setting of charging pile interactive service software. However, at the same time, the following technical problems exist:

[0004] When constructing a charging pile operation platform, there are differences in the distribution data of charging piles of different types of communication protocols in different service areas. Therefore, when performing data interaction, if the distribution data of charging piles of different types of communication protocols in different service areas are ignored and differentiated data interaction strategies are determined, the reliability of data interaction for charging piles of higher importance cannot be guaranteed.

[0005] In response to the above technical problems, the present invention provides a charging pile operation management method and system based on data analysis. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] According to one aspect of the present invention, a charging pile operation management method based on data analysis is provided.

[0008] A charging pile operation management method based on data analysis, specifically comprising:

[0009] S1 divides the charging piles into different charging pile groups according to the type of the communication protocol of the charging piles, determines the distribution data of the charging piles of different charging pile groups in different service areas, and proceeds to the next step when it is determined based on the distribution data that the charging pile group does not belong to a preset group type;

[0010] S2 obtains usage data of charging piles in different service areas, and determines a busy service area in the service area according to the usage data of charging piles in different service areas;

[0011] S3 determines the distribution data of the charging piles in the charging pile group in different busy service areas, and when it is determined that the charging pile group does not belong to the preset group type based on the usage data of the charging piles in different busy service areas, proceeds to the next step;

[0012] S4 obtains the distribution data of charging piles of preset group types in different service areas, and determines the data interaction strategies of different charging piles in combination with the historical usage data of the charging piles in the service areas. The data interaction strategies are used through the charging pile operation platform and a unified data interaction protocol is adopted to perform interaction processing on charging piles that do not belong to the preset group types.

[0013] The beneficial effects of the present invention are:

[0014] Whether the charging pile group belongs to the preset group type is determined based on the distribution data of the charging piles in the charging pile group in different service areas, thereby realizing the screening of charging pile groups with higher importance based on the number of charging piles in the charging pile group and the distribution of charging piles in different service areas, and performing unified monitoring and processing of the charging pile group according to the preset interaction frequency, thereby ensuring the reliability of the monitoring and processing of the charging pile group and the reliability of the operation of the charging piles.

[0015] Through the charging pile operation platform, a unified data interaction protocol is adopted to interact with charging piles that do not belong to the preset group type, thereby taking into account the impact of the distribution number of charging piles of the preset group type in the service area on the reliability of monitoring and processing of the charging piles in the service area, while also taking into account the historical usage data of the charging piles to achieve reliable monitoring of charging piles with a large number of uses. On the basis of reducing the difficulty of interactive processing, unified supervision of different types of charging piles is achieved through a unified data interaction protocol, thereby improving the reliability of monitoring and processing of charging piles.

[0016] A further technical solution is to divide the charging piles into different charging pile groups, specifically including:

[0017] According to the type of the communication protocol of the charging piles, the charging piles using the same communication protocol are divided into the same charging pile group.

[0018] A further technical solution is that the distribution data of the charging piles in different service areas include the distribution numbers in different service areas.

[0019] A further technical solution is to determine that the charging pile group does not belong to a preset group type, specifically including:

[0020] Based on the distribution data of the charging pile group, determining the number of charging piles in the charging pile group distributed in different service areas;

[0021] Determining a screening service area among the service areas based on the distribution numbers in different service areas;

[0022] Determine whether the charging pile group belongs to a preset group type according to the number of the screened service areas.

[0023] A further technical solution is that the screening service areas are service areas whose distribution quantity is greater than a preset quantity.

[0024] A further technical solution is that when the number of screened service areas corresponding to the charging pile group is within a preset service area number range, it is determined that the charging pile group belongs to a preset group type.

[0025] A further technical solution is that, when the charging pile group belongs to a preset group type, based on a preset interaction frequency, a unified data interaction protocol is used through a charging pile operation platform to perform interaction processing of the charging piles of the preset group type.

[0026] A further technical solution is that the method for determining the data interaction strategy of the charging pile is:

[0027] Determine the historical usage times of the charging piles in the service area using the historical usage data of the charging piles, and determine the basic interaction frequency of the charging piles based on the historical usage times;

[0028] Determine, according to distribution data of charging piles of a preset group type in the service area, the proportion of the number of charging piles of the preset group type in the service area, and determine, based on the proportion of the number of charging piles of the preset group type, the frequency compensation amount of the basic interaction frequency in the service area;

[0029] The interaction frequency of the charging pile is determined based on the frequency compensation amount and the basic interaction frequency, and the data interaction strategy of the charging pile is determined using the interaction frequency.

[0030] A further technical solution is to use a unified data interaction protocol to interact with charging piles that do not belong to the preset group type, specifically including:

[0031] Based on the interaction frequency corresponding to the data interaction strategy, a unified data interaction protocol is used to perform interaction processing on charging piles that do not belong to the preset group type.

[0032] In a second aspect, the present invention provides a computer system comprising: a memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned charging pile operation and management method based on data analysis when running the computer program.

[0033] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0034] 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

[0035] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0036] Figure 1 It is a flow chart of a charging pile operation management method based on data analysis;

[0037] Figure 2 is a flow chart of a method for determining that a charging pile group does not belong to a preset group type;

[0038] Figure 3 is a flow chart of a method for determining a busy service area using a service area;

[0039] Figure 4 It is a flow chart of a method for determining a data interaction strategy for a charging pile. DETAILED DESCRIPTION

[0040] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0041] When constructing the charging pile operation platform, there are differences in the distribution data of charging piles with different types of communication protocols in different service areas. Therefore, when interacting with data, it is necessary to generate differentiated data interaction strategies based on the distribution data of charging piles with different types of communication protocols in different high-speed service areas to ensure the reliability and accuracy of data interaction processing.

[0042] Preset group type: determine whether the charging pile group belongs to the preset group type by using the proportion of service areas with a distribution number greater than the preset number. Specifically, the charging pile group with a proportion greater than 0.7 is taken as the preset group type.

[0043] Use busy service areas: The use time is determined based on the average usage time of charging piles in different service areas. Specifically, service areas with an average daily usage time of more than 12 hours are regarded as busy service areas.

[0044] The usage data of charging piles in busy service areas is used to determine that the charging pile group does not belong to the preset group type: the usage matching coefficient is determined according to the average of the average value of the proportion of the number of charging piles in busy service areas where the charging pile group exists and the proportion of the number of charging piles in different busy service areas, and the charging pile group with a usage matching coefficient greater than 0.3 is used as the preset group type.

[0045] Data interaction strategies for charging piles: Data interaction strategies for different charging piles are determined based on the average daily usage time of charging piles in different service areas.

[0046] Based on the interaction frequency corresponding to the data interaction strategy, a unified data interaction protocol is used to perform interaction processing for charging piles that do not belong to the preset group type.

[0047] Embodiment 1 To solve the above problem, according to one aspect of the present invention, Figure 1 As shown, a charging pile operation management method based on data analysis is provided, which specifically includes:

[0048] S1 divides the charging piles into different charging pile groups according to the type of the communication protocol of the charging piles, determines the distribution data of the charging piles of different charging pile groups in different service areas, and proceeds to the next step when it is determined based on the distribution data that the charging pile group does not belong to a preset group type;

[0049] Furthermore, the charging piles are divided into different charging pile groups, specifically including:

[0050] According to the type of the communication protocol of the charging piles, the charging piles using the same communication protocol are divided into the same charging pile group.

[0051] Specifically, the distribution data of the charging piles in different service areas includes the distribution quantity in different service areas.

[0052] It should be noted that if Figure 2 As shown, determining that the charging pile group does not belong to the preset group type specifically includes:

[0053] Based on the distribution data of the charging pile group, determining the number of charging piles in the charging pile group distributed in different service areas;

[0054] Determining a screening service area among the service areas based on the distribution numbers in different service areas;

[0055] Determine whether the charging pile group belongs to a preset group type according to the number of the screened service areas.

[0056] Furthermore, the screening service areas are service areas whose distribution quantity is greater than a preset quantity.

[0057] It can be understood that when the number of the screened service areas corresponding to the charging pile group is within a preset service area number interval, it is determined that the charging pile group belongs to a preset group type.

[0058] It should be noted that when the charging pile group belongs to a preset group type, the interaction processing of the charging piles of the preset group type is performed through the charging pile operation platform based on a preset interaction frequency and using a unified data interaction protocol.

[0059] Furthermore, the unified data interaction protocol is constructed according to the China Electricity Council-Electric Vehicle Charging and Swapping Service Information Exchange Standard.

[0060] It should also be noted that determining that the charging pile group does not belong to a preset group type specifically includes:

[0061] Based on the distribution data of the charging pile group, determining the number of charging piles in the charging pile group distributed in different service areas;

[0062] Based on the distribution number in different service areas, determining the service area where the charging piles in the charging pile group are located, and using it as the matching service area;

[0063] Determine whether the charging pile group belongs to a preset group type according to the number of the matching service areas.

[0064] It should be noted that determining that the charging pile group does not belong to the preset group type specifically includes:

[0065] S11 determines the distribution quantity of charging piles in the charging pile group based on the distribution data of the charging pile group, and determines the basic importance coefficient of the charging pile group by using the distribution quantity;

[0066] S12: based on the number of distributions in different service areas, determining the service area where the charging piles in the charging pile group are located, and using it as the matching service area, and determining the distribution importance coefficient of the charging pile group according to the number of matching service areas and the number of distributions of charging piles in different matching service areas;

[0067] Optionally, the above step S12 includes steps S121-S124, specifically:

[0068] S121 determines the service area where the charging piles in the charging pile group are located based on the number of distributions in different service areas, and uses it as the matching service area. When the number of the matching service areas is less than the preset number of matching service areas, proceeds to step S122; when the number of the matching service areas is not less than the preset number of matching service areas, proceeds to step S123;

[0069] S122 determines that there is no matching service area with a number of charging piles greater than a preset charging pile number threshold according to the number of charging piles in the charging pile group in different matching service areas, then determines that the charging pile group does not belong to the preset group type, and when there is a matching service area with a number of charging piles greater than the preset charging pile number threshold, proceeds to step S123;

[0070] S123: When the number of matching service areas where the number of charging piles is greater than the preset threshold of the number of charging piles is greater than the preset threshold of the number of service areas, it is determined that the charging pile group belongs to the preset group type; when the number of matching service areas where the number of charging piles is greater than the preset threshold of the number of charging piles is not greater than the preset threshold of the number of service areas, the process proceeds to step S124;

[0071] S124 determines the distribution importance coefficient of the charging pile group according to the number of matching service areas and the distribution number of charging piles in different matching service areas. When the distribution importance coefficient of the charging pile group is greater than the preset distribution coefficient threshold, it is determined that the charging pile group belongs to the preset group type. When the distribution importance coefficient of the charging pile group is not greater than the preset distribution coefficient threshold, proceed to step S13.

[0072] S13 determines a comprehensive importance coefficient according to the distribution importance coefficient and the basic importance coefficient of the charging pile group, and determines whether the charging pile group belongs to a preset group type through the comprehensive importance coefficient.

[0073] Further, when the comprehensive importance coefficient of the charging pile group is greater than a preset importance coefficient threshold, it is determined that the charging pile group belongs to a preset group type.

[0074] Optionally, the above step S11 includes steps S111-S112, which are specifically:

[0075] S111 determines the distribution number of charging piles in the charging pile group based on the distribution data of the charging pile group. When the distribution number of charging piles in the charging pile group is greater than a preset number threshold, it is determined that the charging pile group belongs to a preset group type. When the distribution number of charging piles in the charging pile group is not greater than the preset number threshold, the process proceeds to step S112.

[0076] S112 uses the distribution quantity to determine the basic importance coefficient of the charging pile group and proceeds to step S12.

[0077] Optionally, before entering step S12, it is also necessary to determine whether the basic importance coefficient of the charging pile group is less than a preset coefficient threshold. When the basic importance coefficient of the charging pile group is less than the preset coefficient threshold, it is determined that the charging pile group does not belong to the preset group type. When the basic importance coefficient of the charging pile group is not less than the preset coefficient threshold, proceed to step S12.

[0078] S2 obtains usage data of charging piles in different service areas, and determines a busy service area in the service area according to the usage data of charging piles in different service areas;

[0079] Furthermore, the usage data of the charging pile includes the number of times the charging pile is used for charging and the charging duration for different number of times of use.

[0080] Specifically, Figure 3 As shown, the method for determining the busy service area in the service area is:

[0081] Determining the number of times different charging piles in the service area are used for charging according to the usage data of the charging piles in the service area;

[0082] Determining a busy charging pile among the charging piles according to the number of times the charging is used;

[0083] The busy service area in the service area is determined according to the number of the busy charging piles.

[0084] It should also be noted that the method for determining the busy service area in the service area is:

[0085] Determine the number of times the charging piles in the service area are used on different dates according to the usage data of the charging piles in the service area;

[0086] Determine the busy date of the service area based on the number of times the charging piles of the service area are used on different dates;

[0087] The busy service area in the service area is determined according to the proportion of the busy dates.

[0088] Optionally, the method for determining the busy service area in the service area is:

[0089] According to the usage data of the charging piles in the service area, the usage times of the charging piles in the service area on different dates are determined. When there is a date with a usage time greater than a preset usage time:

[0090] The busy dates of the service area are determined based on the number of times the charging piles of the service area are used on different dates. When the proportion of the busy dates is greater than the proportion of the preset dates:

[0091] then determining that the service area is a busy service area;

[0092] When the proportion of the number of busy dates is not greater than the proportion of the number of preset dates or there is no date with a usage frequency greater than the preset usage frequency:

[0093] Determining the average usage times of the charging piles on different dates based on the usage times of the charging piles on different dates, and when the average usage times of the charging piles is greater than a preset times threshold, determining that the service area is a busy service area;

[0094] When the average usage times of the charging pile is greater than the preset times threshold:

[0095] Determine the number of times different charging piles in the service area are used for charging according to the usage data of the charging piles in the service area. When it is determined that there are busy charging piles in the service area by using the number of times of charging:

[0096] Determining a busy charging pile among the charging piles according to the number of charging usages, and determining that the service area is a busy service area when the number of busy charging piles in the service area is greater than a preset number of charging piles;

[0097] When there is no busy charging pile or the number of busy charging piles in the service area is not greater than the preset number of charging piles:

[0098] Obtaining an average value of the number of times different charging piles are used for charging, and when the average value of the number of times different charging piles are used for charging is greater than a preset charging number threshold, determining that the service area is a busy service area;

[0099] When the average number of times different charging piles are used is not greater than the preset charging number threshold:

[0100] The busy coefficient of the date usage of the service area is calculated based on the number of times the charging piles are used on different dates, and the busy coefficient of the charging pile usage of the service area is determined based on the number of times different charging piles are used for charging. When any one of the busy coefficient of the date usage and the busy coefficient of the charging pile usage is not within the preset busy coefficient range: the service area is determined to be a busy service area;

[0101] When the busy coefficient of the date and the busy coefficient of the charging pile are both within the preset busy coefficient range:

[0102] A comprehensive busy usage coefficient is determined based on the charging pile busy usage coefficient and the date busy usage coefficient, and whether the service area is a busy usage service area is determined by the comprehensive busy usage coefficient.

[0103] S3 determines the distribution data of the charging piles in the charging pile group in different busy service areas, and when it is determined that the charging pile group does not belong to the preset group type based on the usage data of the charging piles in different busy service areas, proceeds to the next step;

[0104] Further, determining that the charging pile group does not belong to a preset group type specifically includes:

[0105] The charging piles in the charging pile group are used as matching charging piles, and based on the distribution data of the matching charging piles in different busy service areas, a busy service area where a matching charging pile exists is determined, and the busy service area is used as the matching busy service area;

[0106] Determine the average daily usage times of charging piles in different matching busy service areas based on usage data of charging piles in different matching busy service areas, and determine the weight coefficients of different matching busy service areas based on the proportion of the number of matching charging piles in different matching busy service areas;

[0107] The weight coefficient is used to perform the matching to select service areas in the busy service area, and the number of the selected service areas is used to determine whether the charging pile group belongs to a preset group type.

[0108] It can be understood that the screening service area is a matching busy service area whose weight coefficient is greater than a preset weight coefficient threshold.

[0109] Further, when the number of the screened service areas is within a preset range of the number of screened service areas, it is determined that the charging pile group is a preset group type.

[0110] It should be noted that determining that the charging pile group does not belong to the preset group type specifically includes:

[0111] S31: using the charging piles in the charging pile group as matching charging piles, and determining a busy service area where a matching charging pile exists based on the distribution data of the matching charging piles in different busy service areas, and using the matching busy service area as the matching busy service area;

[0112] S32 determines the average daily usage times of the charging piles in different matching busy service areas based on the usage data of the charging piles in different matching busy service areas, and determines the weight coefficients of the different matching busy service areas based on the proportion of the number of matching charging piles in different matching busy service areas;

[0113] S33 determines the group reliability coefficient of the charging pile group according to the weight coefficients of the busy service areas used for different matching, and determines whether the charging pile group belongs to a preset group type by using the group reliability coefficient.

[0114] A further technical solution is that the method for determining the weight coefficient of the busy service area used for matching is:

[0115] Determine the service area busy coefficients of different matching busy service areas based on the preset proportional factors according to the average daily usage times of charging piles in different matching busy service areas;

[0116] The weight coefficient of the matching busy service area is determined according to the product of different service area busy coefficients of the matching busy service area and the proportion of the number of matching charging piles.

[0117] Specifically, when the group reliability coefficient of the charging pile group is greater than a preset reliability coefficient threshold, it is determined that the charging pile group belongs to a preset group type.

[0118] S4 obtains the distribution data of charging piles of preset group types in different service areas, and determines the data interaction strategies of different charging piles in combination with the historical usage data of the charging piles in the service areas. The data interaction strategies are used through the charging pile operation platform and a unified data interaction protocol is adopted to perform interaction processing on charging piles that do not belong to the preset group types.

[0119] Specifically, Figure 4 As shown, the method for determining the data interaction strategy of the charging pile is:

[0120] Obtain the distribution data of charging piles of preset group types in different service areas, and determine the data interaction strategies of different charging piles in combination with the historical usage data of the charging piles in the service areas.

[0121] Determine the historical usage times of the charging piles in the service area using the historical usage data of the charging piles, and determine the basic interaction frequency of the charging piles based on the historical usage times;

[0122] Determine, according to distribution data of charging piles of a preset group type in the service area, the proportion of the number of charging piles of the preset group type in the service area, and determine, based on the proportion of the number of charging piles of the preset group type, the frequency compensation amount of the basic interaction frequency in the service area;

[0123] The interaction frequency of the charging pile is determined based on the frequency compensation amount and the basic interaction frequency, and the data interaction strategy of the charging pile is determined using the interaction frequency.

[0124] Furthermore, a unified data interaction protocol is used to interact with charging piles that do not belong to the preset group type, specifically including:

[0125] Based on the interaction frequency corresponding to the data interaction strategy, a unified data interaction protocol is used to perform interaction processing on charging piles that do not belong to the preset group type.

[0126] Embodiment 2 In a second aspect, the present invention provides a computer system, comprising: a memory and a processor in communication connection, and a computer program stored in the memory and executable on the processor, wherein the processor executes the above-mentioned charging pile operation and management method based on data analysis when running the computer program.

[0127] Optionally, the above step S31 includes steps S311-S312, which specifically include:

[0128] S311: The charging piles in the charging pile group are used as matching charging piles. Based on the distribution data of the matching charging piles in different busy service areas, it is determined that there are busy service areas where matching charging piles exist, and the busy service areas are used as matching busy service areas. When the number of matching service areas is greater than the preset number of service areas, the process proceeds to step S312. When the number of matching service areas is not greater than the preset number of service areas, the process proceeds to step S32.

[0129] S312: When the number of matching charging piles in the matching service area is greater than the preset number of matching charging piles, it is determined that the charging pile group belongs to the preset group type; when the number of matching charging piles in the matching service area is not greater than the preset number of matching charging piles, proceed to step S32.

[0130] Optionally, before entering step S32, when the number of matching charging piles in the matching service area is not greater than the preset number of matching charging piles and the number of matching service areas is not greater than the preset number of service areas, it is determined that the charging pile group does not belong to the preset group type; when the number of matching charging piles in the matching service area is greater than the preset number of matching charging piles or the number of matching service areas is greater than the preset number of service areas, proceed to step S32.

[0131] Optionally, the above step S32 includes steps S321-S323, specifically:

[0132] Determine the average daily usage times of charging piles in different matching busy service areas based on usage data of charging piles in different matching busy service areas, and determine the weight coefficients of different matching busy service areas based on the proportion of the number of matching charging piles in different matching busy service areas;

[0133] S321 determines the average daily usage times of different matching busy service areas using the usage data of the charging piles of different matching busy service areas. When the number of matching busy service areas with an average daily usage time greater than a preset usage time threshold is within a preset matching service area number interval, it is determined that the charging pile group belongs to a preset group type. When the number of matching busy service areas with an average daily usage time greater than the preset usage time threshold is not within the preset matching service area number interval, proceed to step S322.

[0134] S322: obtaining the number ratios of matching charging piles in different matching busy service areas, and using the matching busy service areas whose number ratios of matching charging piles are within a preset number ratio interval as the screening matching service areas; when the number of the screening matching service areas does not meet the requirement, determining that the charging pile group belongs to the preset group type; when the number of the screening matching service areas meets the requirement, proceeding to step S323;

[0135] S323 determines different weight coefficients for matching busy service areas according to the average daily usage times of charging piles in different matching busy service areas and the proportion of the number of matching charging piles. When the number of matching busy service areas with a weight coefficient greater than a preset coefficient threshold does not meet the requirement, it is determined that the charging pile group belongs to the preset group type. When the number of matching busy service areas with a weight coefficient greater than the preset coefficient threshold meets the requirement, proceed to step S33.

[0136] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0137] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0138] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A charging pile operation management method based on data analysis, characterized in that: Specifically include: Dividing the charging piles into different charging pile groups according to the types of communication protocols of the charging piles, determining distribution data of the charging piles of different charging pile groups in different service areas, and when it is determined based on the distribution data that the charging pile group does not belong to a preset group type, proceeding to the next step; Acquire usage data of charging piles in different service areas, and determine a busy service area in the service area according to the usage data of charging piles in different service areas; Determine the distribution data of the charging piles in the charging pile group in different busy service areas, and when it is determined that the charging pile group does not belong to the preset group type based on the usage data of the charging piles in different busy service areas, proceed to the next step; Obtain the distribution data of charging piles of preset group types in different service areas, and determine the data interaction strategies of different charging piles in combination with the historical usage data of the charging piles in the service areas, and use the data interaction strategies to interact with charging piles that do not belong to the preset group types through the charging pile operation platform using a unified data interaction protocol; Determining based on the distribution data that the charging pile group does not belong to a preset group type specifically includes: Based on the distribution data of the charging pile group, determining the number of charging piles in the charging pile group distributed in different service areas; Determining a screening service area among the service areas based on the distribution numbers in different service areas; Determining whether the charging pile group belongs to a preset group type according to the number of the screened service areas; Combining the usage data of charging piles in different busy service areas to determine that the charging pile group does not belong to the preset group type specifically includes: The charging piles in the charging pile group are used as matching charging piles, and based on the distribution data of the matching charging piles in different busy service areas, a busy service area where a matching charging pile exists is determined, and the busy service area is used as the matching busy service area; Determine the average daily usage times of charging piles in different matching busy service areas based on usage data of charging piles in different matching busy service areas, and determine the weight coefficients of different matching busy service areas based on the proportion of the number of matching charging piles in different matching busy service areas; The matching is performed using the weight coefficient to select service areas in the busy service area, and the number of the selected service areas is used to determine whether the charging pile group belongs to a preset group type; The method for determining the data interaction strategy of the charging pile is: Determine the historical usage times of the charging piles in the service area using the historical usage data of the charging piles, and determine the basic interaction frequency of the charging piles based on the historical usage times; Determine, according to distribution data of charging piles of a preset group type in the service area, the proportion of the number of charging piles of the preset group type in the service area, and determine, based on the proportion of the number of charging piles of the preset group type, the frequency compensation amount of the basic interaction frequency in the service area; The interaction frequency of the charging pile is determined based on the frequency compensation amount and the basic interaction frequency, and the data interaction strategy of the charging pile is determined using the interaction frequency.

2. The charging pile operation management method based on data analysis according to claim 1, characterized in that: The charging piles are divided into different charging pile groups, specifically including: According to the type of the communication protocol of the charging piles, the charging piles using the same communication protocol are divided into the same charging pile group.

3. The charging pile operation management method based on data analysis according to claim 1, characterized in that: The distribution data of charging piles in different service areas includes the distribution quantity in different service areas.

4. The charging pile operation management method based on data analysis according to claim 1, characterized in that: The screening service areas are service areas whose distribution quantity is greater than a preset quantity.

5. The charging pile operation management method based on data analysis according to claim 1, characterized in that: When the charging pile group belongs to a preset group type, the interaction processing of the charging piles of the preset group type is performed through the charging pile operation platform based on the preset interaction frequency and using a unified data interaction protocol.

6. The charging pile operation management method based on data analysis according to claim 1, characterized in that: The unified data interaction protocol is constructed according to the China Electricity Council-Electric Vehicle Charging and Swapping Service Information Exchange Standard.

7. The charging pile operation management method based on data analysis according to claim 1, characterized in that: A unified data interaction protocol is used to interact with charging piles that do not belong to the preset group type, including: Based on the interaction frequency corresponding to the data interaction strategy, a unified data interaction protocol is used to perform interaction processing on charging piles that do not belong to the preset group type.

8. A computer system comprising: A memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, characterized in that when the processor runs the computer program, a charging pile operation and management method based on data analysis as described in any one of claims 1-7 is executed.

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