Charging station management method and system
Patent Information
- Application Number
- JP2026514737
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-09-28
- Filing Date
- 2024-09-25
- Publication Date
- 2026-09-14
AI Technical Summary
【0018】 本発明による技術案は、少なくとも以下の有益な効果を含んでもよい。以上の実施例によれば、前記管理システムにおける運営サブシステムは、少なくとも1つの事業者に対応する充電ステーション情報を取得して、記憶サブシステムに記憶し、運営サブシステム自体又は外部の計算サブシステムに、前記充電ステーション情報に対してデータクリーニングを行わせ、データクリーニング結果を得、前記データクリーニング結果から前記少なくとも1つの事業者のいずれかに対応する充電ステーションの異常情報を決定することができる。該異常情報に基づいて、メンテナンスが必要な充電ステーション及び該充電ステーションの異常状況を決定することができ、これにより、異常のある充電ステーションを適切にメンテナンスするようにメンテナンス担当者をタイムリーに手配することができ、充電ステーションのメンテナンス効率を向上させ、ユーザにより良い充電サービスを提供する。図面及び詳細な説明を読んで理解すると、他の点も明らかになる。
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Abstract
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] The present application claims the priority of a Chinese patent application with application number 202311278798.1 filed with the China National Intellectual Property Administration on September 28, 2023, the entire content of which is incorporated into the present application by reference. TECHNICAL FIELD
[0002] Embodiments of the present invention relate to, but are not limited to, the field of vehicle technology, and in particular, relate to, but are not limited to, a charging station management method, system, apparatus, electronic device, and a machine-readable storage medium. BACKGROUND ART
[0003] When a third-party service platform uniformly manages charging stations of various operators, there are omissions or errors in the charging station information provided by the service platforms corresponding to different operators, so that the corresponding charging stations cannot operate normally, and charging service may not be provided to users. Alternatively, due to an abnormal state of the charging station itself, the charging station cannot operate, and charging service may not be provided to users. SUMMARY OF THE INVENTION
[0004] The summary of the present invention is described below. The summary of the present invention is not intended to limit the scope of the claims. The present invention provides a charging station management method applied to an operation subsystem in a management system, wherein the management system further comprises a storage subsystem, acquiring charging station information corresponding to at least one operator, and storing the information in the storage subsystem; causing the operation subsystem itself or an external computing subsystem to perform data cleaning on the charging station information stored in the storage subsystem to obtain a data cleaning result; The present invention provides a method for managing charging stations, which includes the step of determining abnormal information of a charging station corresponding to one of the at least one operators from the data cleaning results.
[0005] In some embodiments, the method further includes the step of outputting the abnormal information to the user.
[0006] In some embodiments, the method further, The steps include having the operation subsystem itself or the calculation subsystem compare the charging station information stored in the storage subsystem with the historical charging station information and obtaining the comparison result, Based on the comparison results, the steps include determining the number of charging stations corresponding to each of the at least one operators, and / or whether the charging station information has been changed, The method includes the step of recording the changed charging station information if the number of charging stations corresponding to any of the at least one operators or the charging station information changes.
[0007] In some embodiments, the method further includes the step of outputting the modified charging station information to the user.
[0008] In some embodiments, the charging station information includes charging station address information, and the operation subsystem itself or the calculation subsystem performs data cleaning on the charging station information stored in the storage subsystem, and the step of obtaining the data cleaning result is as follows: The steps include obtaining the address information of the charging station, A step of determining whether the address information of the charging station is complete, If the address information of the charging station is complete, the step of calling an address analysis API to analyze the address information, obtaining the analysis result, and determining whether the address information is accurate based on the analysis result, If it is determined that the address information is inaccurate, the step of generating first instruction information to indicate an address anomaly of the charging station as a result of the data cleaning, The method includes the step of generating a first instruction information as a result of the data cleaning to indicate an address anomaly of the charging station if the address information of the charging station is incomplete.
[0009] In some embodiments, the steps include calling the address parsing API to parse the address information, obtaining the parsing result, and determining whether the address information is accurate based on the parsing result. The steps include calling the address analysis API to analyze the address information and generating latitude and longitude information corresponding to the address information, A step of querying whether the location corresponding to the latitude and longitude information matches the address information, The step includes determining that the address information is accurate if the location corresponding to the latitude and longitude information matches the address information.
[0010] In some embodiments, the charging station information includes the number of charging station facilities, and the operation subsystem itself or the calculation subsystem performs data cleaning on the charging station information stored in the storage subsystem, and the step of obtaining the data cleaning result is as follows: The steps include obtaining the number of facilities at the aforementioned charging station, The steps include determining whether the number of the aforementioned equipment is a predetermined number, The method includes, if the number of equipment is the predetermined number, generating a second instruction information as the data cleaning result to indicate that the number of equipment is the predetermined number.
[0011] In some embodiments, the charging station information includes charging station status information, and the operation subsystem itself or the calculation subsystem performs data cleaning on the charging station information stored in the storage subsystem, and the step of obtaining the data cleaning result is as follows: The steps include: acquiring status information of the charging station, The steps include determining whether the status information of the charging station corresponds to a predetermined time period, If the status information of the charging station corresponds to the predetermined time period, the step of determining whether the status of the charging station is normal based on the status information of the charging station, If it is determined that the state of the charging station is not normal, the step of generating a third instruction information as the data cleaning result to indicate that the state of the charging station is not normal, The step of generating the third instruction information as the data cleaning result if the status information of the charging station is not the status information corresponding to the predetermined time period.
[0012] In some embodiments, the charging station information includes charging station order information, and the operation subsystem itself or the calculation subsystem performs data cleaning on the charging station information stored in the storage subsystem, and the step of obtaining the data cleaning result is as follows: The steps include obtaining order information for the aforementioned charging station, The steps include determining whether the order information of the charging station includes normal order information within a predetermined time period, If it is determined that the order information of the charging station does not include normal order information within the predetermined time period, the method includes the step of generating a fourth instruction information as a data cleaning result to indicate that the order information of the charging station is not normal.
[0013] In some embodiments, the charging station information includes charging station price information, and the operation subsystem itself or the calculation subsystem performs data cleaning on the charging station information stored in the storage subsystem, and the step of obtaining the data cleaning result is as follows: The steps include obtaining price information for the aforementioned charging station, The steps include determining whether the price information of the charging station includes price information corresponding to a predetermined time period, If it is determined that the price information for the charging station does not include price information corresponding to the predetermined time period, the method includes the step of generating a fifth instruction information as a data cleaning result to indicate that the price information for the charging station is abnormal.
[0014] In some embodiments, the at least one operator includes multiple operators, and the step of having the operation subsystem itself or the computing subsystem perform data cleaning on the charging station information stored in the storage subsystem and obtaining the data cleaning result is as follows: The steps include: obtaining charging station information corresponding to each of the aforementioned multiple operators; The steps include determining whether the charging station information corresponding to one of the aforementioned multiple operators overlaps with the charging station information corresponding to another of the aforementioned multiple operators, The data cleaning result includes the step of generating a sixth instruction information to indicate that the dependency relationship of the charging station corresponding to the operator is abnormal, if it is determined that the charging station information corresponding to any of the above-mentioned multiple operators overlaps with the charging station information corresponding to another operator among the above-mentioned multiple operators.
[0015] The present invention further, Memory subsystem and Provided is a charging station management system, comprising: an operation subsystem configured to acquire charging station information corresponding to at least one operator, store the acquired information in the storage subsystem, cause the operation subsystem itself or an external computing subsystem to perform data cleaning on the charging station information stored in the storage subsystem to obtain a data cleaning result, and determine abnormality information of a charging station corresponding to any one of the at least one operator based on the data cleaning result.
[0016] The present invention further provides an electronic device comprising a communication interface, a processor, a memory and a bus, wherein the communication interface, the processor and the memory are connected to each other via the bus, machine-readable instructions are stored in the memory, and the processor executes the charging station management method by calling the machine-readable instructions.
[0017] The present invention further provides a machine-readable storage medium having machine-readable instructions stored thereon, wherein when the machine-readable instructions are called and executed by a processor, the charging station management method is implemented.
[0018] The technical solution according to the present invention may include at least the following beneficial effects. According to the above embodiments, the operation subsystem in the management system acquires charging station information corresponding to at least one operator, stores the information in the storage subsystem, and causes the operation subsystem itself or an external computing subsystem to perform data cleaning on the charging station information to obtain a data cleaning result, and abnormality information of a charging station corresponding to any one of the at least one operator can be determined from the data cleaning result. Based on the abnormality information, the charging station requiring maintenance and the abnormality status of the charging station can be determined, thereby allowing timely arrangement of maintenance personnel to appropriately maintain the abnormal charging station, improving the maintenance efficiency of charging stations and providing better charging services for users. Other aspects will become apparent upon reading and understanding the drawings and detailed description. Brief Description of the Drawings
[0019] [Figure 1] It is an interaction diagram of a charging station management system according to an exemplary embodiment. [Figure 2] It is a flowchart of a charging station management method according to an exemplary embodiment. [Figure 3] It is a flowchart of another charging station management method according to an exemplary embodiment. [Figure 4] It is a hardware structure diagram of an electronic device where a charging station management apparatus according to an exemplary embodiment is located. [Figure 5] It is a block diagram of a charging station management apparatus according to an exemplary embodiment. Mode for Carrying Out the Invention
[0020] Exemplary embodiments are described in detail here, and examples are shown in the accompanying drawings. Where the following description relates to the drawings, unless otherwise noted, the same numbers in different drawings indicate the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. On the contrary, they are merely examples of apparatus and methods consistent with some aspects of the present invention detailed in the accompanying claims.
[0021] In other embodiments, the steps of the corresponding method may not necessarily be performed in the order shown and described herein. In some other embodiments, the method may include more or fewer steps than those described herein. Also, a single step described herein may be broken down into multiple steps in other embodiments, and multiple steps described herein may be combined into a single step in other embodiments.
[0022] A charging station, also known as an electric vehicle charging station or electric vehicle charging facility, is a facility for charging electric vehicles, electric bicycles, and other electric means of transportation.
[0023] In order to achieve open sharing of charging station data and provide users with more convenient charging services using current technology, the new energy industry has developed a complete protocol system called the China Electricity Council Protocol. Different operators correspond to different electric vehicle operation service platforms, and these service platforms contain information on charging stations managed by the corresponding operators. Furthermore, information can be exchanged between electric vehicle operation service platforms corresponding to different operators based on the China Electricity Council Protocol, and third-party service platforms can also exchange information with all operation service platforms based on the China Electricity Council Protocol, thereby managing charging stations corresponding to each operator.
[0024] In actual applications, there is a possibility that the charging station information included in the service platform corresponding to each operator may be missing or incorrect. In this case, the third-party service platform may not be able to operate the charging station with missing or incorrect information and therefore cannot provide charging services to users. Alternatively, a malfunction in the charging station itself may prevent it from operating and thus prevent it from providing charging services to users.
[0025] In view of this, the present invention provides a method for managing charging stations. This method performs data cleaning on charging station information corresponding to at least one operator and determines abnormal information for each operator's charging station from the data cleaning results. As a result, after maintaining the charging station based on the abnormal information, the charging station can be put into operation to provide charging services to users.
[0026] In implementation, the method is applied to the operation subsystem 101 in the management system, which may further include a computing subsystem 102 and a storage subsystem 103. The operation subsystem 101 can acquire charging station information corresponding to at least one operator and store it in the storage subsystem 103. The operation subsystem 101 may be implemented by an electronic device.
[0027] In some embodiments, the operation subsystem 101 can send an execution command to the calculation subsystem 102 such that the calculation subsystem 102 acquires the charging station information from the storage subsystem 103, performs data cleaning on the charging station information, and returns the data cleaning results to the operation subsystem 101.
[0028] In some embodiments, the operation subsystem 101 can determine abnormal information of a charging station corresponding to one of the at least one operators from the data cleaning results.
[0029] According to the above embodiment, the operation subsystem 101 in the management system acquires charging station information corresponding to at least one operator, stores it in the storage subsystem 103, and has the operation subsystem 101 itself or an external computing subsystem 102 perform data cleaning on the charging station information to obtain data cleaning results. The operation subsystem 101 determines abnormal information for charging stations corresponding to any of the at least one operator from the data cleaning results, and based on this abnormal information, it can determine which charging stations require maintenance and the abnormal status of those charging stations. This makes it possible to timely arrange for maintenance personnel to properly maintain the abnormal charging stations, improve the maintenance efficiency of charging stations, and provide better charging services to users.
[0030] The method for managing the charging station is applied to the operation subsystem 101 of the management system. The management system may further include a computing subsystem 102 and a storage subsystem 103, and information can be exchanged between the subsystems included in the management system based on a specific communication protocol, such as the Chugoku Electric Power Association protocol described above, thereby enabling the management of charging stations corresponding to each operator. Figure 1 is an architectural diagram of a charging station management system according to one exemplary embodiment. The management system may include the operation subsystem 101, the storage subsystem 103, and the computing subsystem 102.
[0031] Here, the operation subsystem 101 may include an external connection system and an internal station operation system. Here, the external connection system may connect to a service platform corresponding to at least one operator, acquire charging station information from the service platform, store the charging station information in the storage subsystem 103, and send an execution command to the calculation subsystem 102 to trigger the calculation subsystem 102 to acquire the charging station information from the storage subsystem 103, perform data cleaning on the charging station information, and return the data cleaning results to the operation subsystem 101. The internal station operation system may determine abnormal information of a charging station corresponding to one of the at least one operator from the data cleaning results, store the abnormal information in a database, and allow maintenance personnel to acquire the abnormal information from the database to perform subsequent maintenance operations.
[0032] The computing subsystem 102 can respond to an execution command sent from the operation subsystem 101 by acquiring the charging station information from the storage subsystem 103, performing data cleaning on the charging station information, and returning the data cleaning results to the operation subsystem 101.
[0033] In one embodiment, the computing subsystem 102 may be Alibaba Cloud Datawork, a big data computing and analytics platform that can provide users with functions such as data storage, data computing, data development, and data collaboration. In another embodiment, the computing subsystem 102 may be the processor of the operations subsystem 101.
[0034] The storage subsystem 103 stores charging station information corresponding to at least one operator and can transmit the charging station information to the calculation subsystem 102 in response to an acquisition request from the calculation subsystem 102.
[0035] In one embodiment, the storage subsystem 103 may be an OSS (Object Storage Service). An OSS is a secure, highly reliable, and low-cost cloud storage service that can store and process various types of data, including text, images, audio, and video. In another embodiment, the storage subsystem 103 may be the memory of the operations subsystem 101.
[0036] In some embodiments, the operation subsystem 101 can directly perform a charging station management method that includes the steps of: acquiring charging station information corresponding to at least one operator; performing data cleaning on the charging station information to obtain data cleaning results; and determining abnormal information for a charging station corresponding to any of the at least one operator from the data cleaning results.
[0037] The present invention will be described below by combining specific examples and specific application scenarios.
[0038] Figure 2 is a flowchart of a charging station management method according to one exemplary embodiment. As shown in Figure 2, based on the three subsystems included in the management system, the operation subsystem 101 can execute steps 202 to 206.
[0039] Step 202: Charging station information corresponding to at least one operator is obtained and stored in the storage subsystem 103.
[0040] The charging station information may be obtained by the external connection system in the operation subsystem 101 from a service platform corresponding to each of the at least one operators. The charging station information may include data that needs to be cleaned, or it may include data that does not need to be cleaned. Therefore, target charging station information that needs to be cleaned may be extracted from the charging station information, and then data cleaning may be performed on the target charging station information.
[0041] After the external connection system acquires the charging station information, the operation subsystem 101 may directly perform subsequent data cleaning operations on the acquired charging station information, or the operation subsystem 101 may store the charging station information in the storage subsystem 103 so that the calculation subsystem 102 acquires the charging station information from the storage subsystem 103 and performs subsequent data cleaning operations.
[0042] Furthermore, the operation subsystem 101 may acquire charging station information from the service platform corresponding to at least one of the aforementioned operators by executing a scheduled task and store it in the storage subsystem 103. This eliminates the need for the subsequent computing subsystem 102 to rely on a real-time network connection when acquiring the charging station information from the storage subsystem 103 and performing data cleaning operations, effectively avoiding failure to perform data cleaning due to being offline.
[0043] Step 204: The operation subsystem 101 itself or an external computing subsystem 102 is instructed to perform data cleaning on the charging station information stored in the storage subsystem 103, and the data cleaning results are obtained.
[0044] The operation subsystem 101 can directly perform data cleaning on the charging station information and obtain the data cleaning results. Alternatively, the operation subsystem 101 may send an execution command to the calculation subsystem 102 for executing the data cleaning task, triggering the calculation subsystem 102 to acquire the charging station information from the storage subsystem 103, perform data cleaning on the charging station information, and, after the data cleaning is completed, return the data cleaning results to the internal station operation system in the operation subsystem 101.
[0045] The present invention does not limit the specific contents included in the charging station information. For example, the charging station information may include address information, number of facilities, price information, status information, and so on.
[0046] In one embodiment, the charging station information may include the address information of the charging station. Accordingly, performing data cleaning on the charging station information may include, but is not limited to, the steps of: determining whether the address information of the charging station is complete; if the address information of the charging station is complete, calling an address analysis API to analyze the address information to obtain the analysis result, and determining whether the address information is accurate based on the analysis result; if it is determined that the address information is inaccurate, generating a first instruction information to indicate an address anomaly of the charging station as the data cleaning result; and if the address information of the charging station is incomplete, generating a first instruction information to indicate an address anomaly of the charging station as the data cleaning result.
[0047] In other words, the above data cleaning operation may include performing data cleaning on the address information of the charging station to determine whether the address information is complete and whether it is accurate.
[0048] The present invention is not limited to methods for determining whether or not the address information is complete. For example, the completeness of the address information can be determined by determining whether or not the address information contains predetermined information, where the predetermined information may be information at the provincial level, information at the city level, etc. Alternatively, the address information can be analyzed by calling an address analysis API and the completeness of the address information can be determined based on the analysis results.
[0049] If the address information is incomplete, it can be determined that there is an abnormality in the address information, and a first instruction information indicating the abnormality of the charging station's address can be generated as a result of the data cleaning. If the address information is complete, it is necessary to further determine whether the address information is accurate or not, and if the address information is inaccurate, it can be determined that there is an abnormality in the address information, and a first instruction information indicating the abnormality of the charging station's address can be generated as a result of the data cleaning.
[0050] Here, to determine whether the address information is accurate, an address analysis API (Application Programming Interface) can be called to analyze the address information, and based on the analysis results, it can be determined whether the address information is accurate. Specifically, the address analysis API can be called to analyze the address information, longitude and latitude information corresponding to the address information can be generated, and it can be queried whether the location corresponding to the longitude and latitude information matches the address information. If a match is found, it can be determined that the address information is accurate.
[0051] In this way, it is possible to determine whether the address information for each charging station corresponding to each operator is complete and accurate, and if there is an abnormality in the address information, maintenance measures can be taken in a timely and accurate manner, thereby providing users with better charging services.
[0052] In one embodiment, the charging station information may include the number of charging station facilities. Accordingly, performing data cleaning on the charging station information may include, but is not limited to, the steps of determining whether the number of facilities is a predetermined number, and, if the number of facilities is a predetermined number, generating a second instruction information as the data cleaning result to indicate that the number of facilities is a predetermined number. Furthermore, when the calculation subsystem 102 performs a data cleaning operation, the calculation subsystem 102 returns the second instruction information to the operation subsystem 101.
[0053] The number of facilities at the charging station may be the number of charging guns deployed at the charging station. These charging guns are equipment for charging electric vehicles, and if the number of such charging facilities is insufficient, it becomes impossible to provide charging services to users. Therefore, it is necessary to determine whether or not the number of such charging facilities is insufficient.
[0054] In other words, the data cleaning operation described above may include determining whether the number of charging station facilities is a predetermined number, and if the number of facilities is a predetermined number, a second instruction information indicating that the number of facilities is a predetermined number can be generated as the data cleaning result.
[0055] The present invention does not limit the specific value of the predetermined number. For example, the predetermined number may be 0, or it may be any other value set according to the actual needs. For example, the processor or computing subsystem 102 of the operation subsystem 101 can determine whether the number of charging station equipment is 0, and if the number of equipment is 0, it can generate second instruction information to indicate that the number of equipment is 0.
[0056] In this way, it is possible to determine whether sufficient charging equipment is installed at the charging stations corresponding to each operator, and if there is a shortage of equipment, supplementary measures can be taken in a timely and accurate manner, thereby providing users with better charging services.
[0057] In one embodiment, the charging station information may include charging station status information. Accordingly, performing data cleaning on the charging station information may include, but is not limited to, the steps of: determining whether the charging station status information corresponds to a predetermined time period; determining whether the charging station is in a normal state based on the status information if it does correspond to a predetermined time period; generating a third instruction information as the data cleaning result to indicate that the charging station is in a normal state if it is determined that it is in a normal state; and generating a third instruction information as the data cleaning result to indicate that the charging station is in a normal state if it does not correspond to a predetermined time period.
[0058] The system determines whether the status information of a charging station corresponds to a predetermined time period. Specifically, each charging station can report status information to the corresponding service platform within a predetermined cycle, and the processor or computing subsystem 102 of the operation subsystem 101 can determine whether the charging station reported within the predetermined time period based on whether the status information of the charging station corresponds to a predetermined time period. If the status information of the charging station does not correspond to a predetermined time period, it indicates that the charging station did not report within the predetermined time period. In this case, it can be determined that there is an abnormality in the status of the charging station, and a third instruction information can be generated to indicate that the status of the charging station is not normal.
[0059] If the status information of a charging station corresponds to a predetermined time period, it indicates that the charging station reported within that time period. Furthermore, it is possible to determine whether the status of the charging station is normal or not based on this status information. If it is determined that the status of the charging station is not normal, a third instruction information can be generated to indicate that the status of the charging station is not normal.
[0060] The present invention is not limited to the aforementioned predetermined time period. For example, the predetermined time period may refer to a predetermined one week, or to a predetermined fifteen days.
[0061] For example, the processor or computing subsystem 102 of the operation subsystem 101 can determine whether the status information of a charging station is status information from within the last week. If the status information of the charging station is status information from one week ago, it can determine that there is an abnormality in the state of the charging station and generate a third instruction information as the data cleaning result to indicate that the state of the charging station is not normal. If the status information of the charging station is status information from within the last week, it can further determine whether the state of the charging station is normal based on the status information of the charging station. If the state of the charging station is not normal, it can generate a third instruction information as the data cleaning result to indicate that the state of the charging station is not normal.
[0062] In this way, it is possible to determine whether the status of the charging stations corresponding to each operator is normal or not. If the status of a charging station is abnormal, appropriate maintenance measures can be taken based on the current status, thereby providing users with a better charging service.
[0063] In one embodiment, the charging station information may include the order information of the charging station. Accordingly, performing data cleaning on the charging station information may include, but is not limited to, the steps of: determining whether the order information of the charging station includes normal order information within a predetermined time period; and, if it is determined that the order information of the charging station does not include normal order information within the predetermined time period, generating a fourth instruction information as the data cleaning result to indicate that the order information of the charging station is not normal. Furthermore, when the calculation subsystem 102 performs a data cleaning operation, the calculation subsystem 102 returns the fourth instruction information to the operation subsystem 101.
[0064] Order information may include abnormal order information and normal order information. For example, if a user creates a charging order but the charging station does not provide the charging service, the charging station can generate corresponding abnormal order information. If a user creates a charging order and the charging station provides the full charging service, the charging station can generate corresponding normal order information.
[0065] The present invention is not limited to a predetermined time period. For example, the predetermined time period may refer to a predetermined week, or to a predetermined 15 days.
[0066] For example, the processor or computing subsystem 102 of the operation subsystem 101 can determine whether the order information of the charging station includes normal order information from within the past week, and if it is determined that the order information of the charging station does not include normal order information from within the past week, it can generate a fourth instruction information as the data cleaning result to indicate that the order information of the charging station is not normal.
[0067] In this way, it is possible to determine whether the charging station corresponding to each operator can generate a normal order and whether or not it includes order records for charging services provided. If there is an anomaly in the order information, subsequent corrective measures can be taken based on the anomaly corresponding to the order information, thereby providing users with better charging services.
[0068] In one embodiment, the charging station information may include charging station price information. Accordingly, performing data cleaning on the charging station information may include, but is not limited to, the steps of: determining whether the charging station price information includes price information corresponding to a predetermined time period; and, if it is determined that the charging station price information does not include price information corresponding to a predetermined time period, generating a fifth instruction information as the data cleaning result to indicate that the charging station price information is abnormal. Furthermore, when the calculation subsystem 102 performs a data cleaning operation, the calculation subsystem 102 returns the fifth instruction information to the operation subsystem 101.
[0069] Regarding pricing information, different time zones may correspond to different prices. Therefore, to ensure the completeness of pricing information, it is necessary to determine whether or not the pricing information for each charging station includes pricing information for each time zone.
[0070] The present invention is not limited to the aforementioned predetermined time period. For example, the predetermined time period may refer to a predetermined 24 hours, or to a predetermined 1 week.
[0071] For example, the processor or computing subsystem 102 of the operation subsystem 101 can determine whether the price information of the charging station includes price information corresponding to each 24-hour period. If it is determined that the price information of the charging station does not include price information corresponding to each 24-hour period, it can generate a fifth instruction as a data cleaning result to indicate that the price information of the charging station is abnormal. Furthermore, if the computing subsystem 102 performs a data cleaning operation, it returns the fifth instruction as a response to the operation subsystem 101.
[0072] In this way, it is possible to determine whether the pricing information for each charging station corresponding to each operator is complete, and if the pricing information is incomplete, it can be supplemented in a timely manner, thereby providing users with more accurate charging information.
[0073] In one embodiment, the at least one operator may include multiple operators. In this case, performing data cleaning on the charging station information may include, but is not limited to, the steps of: determining whether the charging station information corresponding to any of the multiple operators overlaps with the charging station information corresponding to another operator among the multiple operators; and, if it is determined that the charging station information corresponding to any of the multiple operators overlaps with the charging station information corresponding to another operator among the multiple operators, generating a sixth instruction information as the data cleaning result to indicate that the dependency relationship of the corresponding charging station is abnormal. Furthermore, when the calculation subsystem 102 performs a data cleaning operation, the calculation subsystem 102 returns the sixth instruction information to the operation subsystem 101.
[0074] In actual applications, if charging station information corresponding to one of the aforementioned multiple operators overlaps with charging station information corresponding to another of the aforementioned multiple operators, it indicates a correspondence between the charging station and the multiple operators. In this case, managing the charging station becomes difficult, and therefore, it is necessary to eliminate such abnormal situations.
[0075] Specifically, if it is determined that charging station information corresponding to one of the multiple operators overlaps with charging station information corresponding to another of the multiple operators, it can be determined that the dependency relationship of the charging stations is abnormal, and a sixth instruction information indicating that the dependency relationship of the charging stations corresponding to that operator is abnormal can be generated as the data cleaning result.
[0076] For example, the multiple operators may include operator_1, operator_2, and operator_3, and the processor or computing subsystem 102 of the operation subsystem 101 can determine whether the charging station information corresponding to any of the three operators overlaps with the charging station information corresponding to the other operators, and if the information for charging station_2 corresponding to operator_1 overlaps with the information for charging station_4 corresponding to operator_3, it can generate a sixth instruction information to indicate that the dependency relationship of charging station_2 corresponding to operator_1 is abnormal.
[0077] In this way, it is possible to determine whether the dependency relationship between charging stations and each operator is normal, and if the dependency relationship is abnormal, it can be adjusted in a timely and accurate manner, enabling more accurate charging information to be pushed to users.
[0078] Step 206: From the data cleaning results, determine abnormal information for a charging station corresponding to one of the at least one operators.
[0079] The data cleaning results may include normal and abnormal information corresponding to the charging station.
[0080] For example, the charging station information may include address information, and the data cleaning result for the address information may include normal information indicating that the address information is complete and accurate, and first instruction information indicating that the address information is abnormal.
[0081] After completing all data cleaning tasks, the computing subsystem 102 can transmit the generated data cleaning results to the internal station operation system in the operation subsystem 101. In response, the internal station operation system of the operation subsystem 101 can determine abnormality information for each charging station corresponding to each operator, i.e., instruction information corresponding to each charging station, based on the data cleaning results it has generated or received from the computing subsystem 102.
[0082] For example, the data cleaning result for the address information of charging station_1 may include normal information indicating that the address information is complete and accurate, and first instruction information indicating that the address information is abnormal. The operation subsystem 101 can determine the charging station_1 and the first instruction information corresponding to the charging station_1 from the data cleaning result.
[0083] In this way, abnormal information for charging stations corresponding to each operator can be determined, and based on this abnormal information, it is possible to determine which charging stations require maintenance and the abnormal status of those charging stations. This allows maintenance personnel to be dispatched in a timely manner to properly maintain the abnormal charging stations, thereby improving the maintenance efficiency of charging stations and providing users with better charging services.
[0084] In one embodiment, the operation subsystem 101 can output the abnormal information to the user.
[0085] The operation subsystem 101 can output a visualization interface to the user for displaying the abnormal information, and through this visualization interface, the operation subsystem 101 can output relevant information for charging stations corresponding to each operator to the user, and this relevant information may include the abnormal information and the normal information.
[0086] In this way, maintenance personnel can clearly and intuitively grasp the abnormal status of charging stations corresponding to each operator, making it easier to take appropriate maintenance measures in response to those abnormal situations, and thus improving the maintenance efficiency of charging stations.
[0087] In one embodiment, the operation subsystem 101 may compare the charging station information with the historical charging station information, or the operation subsystem 101 may send an execution command to the calculation subsystem 102 to have the calculation subsystem 102 acquire the charging station information from the storage subsystem 103 and compare the charging station information with the historical charging station information. In this way, the operation subsystem 101 can determine whether the number of charging stations corresponding to each of the at least one operators and / or the charging station information has been changed based on the comparison results it has generated or received from the calculation subsystem 102, and if the number of charging stations or the charging station information corresponding to any of the at least one operators has been changed, it can record the changed charging station information.
[0088] The historical charging station information may be charging station information that the operation subsystem 101 previously obtained from the service platform corresponding to at least one operator. If the currently obtained charging station information differs from the historical charging station information, the operation subsystem 101 records the currently obtained charging station information and subsequently notifies the user of the change in the charging station based on the currently obtained charging station information.
[0089] For example, if a maintenance worker performs maintenance on abnormal information corresponding to the previous charging station information, the information corresponding to that charging station is changed, and the operation subsystem 101 records the changed charging station information and informs the user that the charging station has completed maintenance and can provide charging services.
[0090] Furthermore, for example, if one of the at least one operators installs a new charging station, or another operator removes an old charging station, the operation subsystem 101 can record the updated charging station information and inform the user that a new, usable charging station has been installed, or that an old charging station at a certain location has been removed.
[0091] In this way, we can inform users of changes to charging stations in a timely manner, push updated charging station information to users, and provide users with a more timely and accurate charging service.
[0092] In one embodiment, the operation subsystem 101 can output the modified charging station information to the user.
[0093] The operation subsystem 101 can push the latest information on modified charging stations to the user via a visualization interface for outputting to the user.
[0094] In this way, users who need to use the charging service can stay informed of the changes at each charging station in a timely manner and select the appropriate charging station based on those changes.
[0095] To help those skilled in the art better understand the technical concepts in the embodiments of the present invention, embodiments of the present invention will be described below with reference to the flowchart of the charging station management method shown in Figure 3.
[0096] Figure 3 is a flowchart of a management method for another charging station according to one exemplary embodiment.
[0097] The operation subsystem 101 can acquire charging station information corresponding to at least one operator and store the charging station information in the storage subsystem 103.
[0098] The operation subsystem 101 may perform data cleaning on the acquired charging station information, or it may send an execution command to the calculation subsystem 102 to trigger the calculation subsystem 102 to acquire the charging station information from the storage subsystem 103 and perform the following data cleaning on the charging station information.
[0099] The processor or computing subsystem 102 of the operation subsystem 101 performs data cleaning on the address information of the charging station and determines whether the address information is complete by determining whether it contains predetermined information, where the predetermined information may be province-level information, city-level information, etc. If the address information is incomplete, it is determined that there is an abnormality in the address information and first instruction information to indicate the abnormality of the charging station's address can be generated as a data cleaning result. If the address information is complete, the address analysis API can be called to analyze the address information and obtain the analysis result, and it can be determined whether the address information is accurate based on the analysis result. If the address information is inaccurate, it can be determined that there is an abnormality in the address information and first instruction information to indicate the abnormality of the charging station's address can be generated as a data cleaning result.
[0100] The processor or computing subsystem 102 of the operation subsystem 101 can perform data cleaning on the number of charging station facilities, determine whether the number of charging station facilities is 0 or not, and if the number of facilities is 0, can generate a second instruction information as a data cleaning result to indicate that the number of facilities is 0.
[0101] The processor or computing subsystem 102 of the operation subsystem 101 can perform data cleaning on the status information of the charging station and determine whether the status information of the charging station is from within the last week. If the status information of the charging station is from one week ago, it can determine that there is an abnormality in the state of the charging station and generate a third instruction information as a data cleaning result to indicate that the state of the charging station is not normal. If the status information of the charging station is from within the last week, it can further determine whether the state of the charging station is normal based on the status information and generate a third instruction information as a data cleaning result to indicate that the state of the charging station is not normal.
[0102] The processor or computing subsystem 102 of the operation subsystem 101 can perform data cleaning on the order information of the charging station, determine whether the order information of the charging station includes normal order information from within the past week, and if it is determined that the order information of the charging station does not include normal order information from within the past week, it can generate a fourth instruction as a data cleaning result to indicate that the order information of the charging station is not normal.
[0103] The processor or computing subsystem 102 of the operation subsystem 101 can perform data cleaning on the price information of a charging station, determine whether the price information of the charging station includes price information corresponding to each 24-hour period, and if it is determined that the price information of the charging station does not include price information corresponding to each 24-hour period, it can generate a fifth instruction as a data cleaning result to indicate that the price information of the charging station is not normal.
[0104] The processor or computing subsystem 102 of the operation subsystem 101 can perform data cleaning on charging station information corresponding to multiple operators, which may include operator_1, operator_2, and operator_3, and can determine whether charging station information corresponding to any of the three operators overlaps with charging station information corresponding to other operators. If the information for charging station_2 corresponding to operator_1 overlaps with the information for charging station_4 corresponding to operator_3, it can generate a sixth instruction information as a data cleaning result to indicate that the dependency relationship of charging station_2 is abnormal.
[0105] After completing the data cleaning, the calculation subsystem 102 can return the data cleaning results to the operation subsystem 101. Accordingly, the operation subsystem 101 can obtain the instruction information from the data cleaning results, determine abnormal information for a charging station corresponding to one of the at least one operators, and output the abnormal information to the maintenance personnel via a visualization interface for output to maintenance personnel.
[0106] Furthermore, the operation subsystem 101 may acquire the charging station information and compare the charging station information with the historical charging station information, or the operation subsystem 101 may send an execution command to the calculation subsystem 102 to have the calculation subsystem 102 acquire the charging station information from the storage subsystem 103 and compare the charging station information with the historical charging station information. In this way, the operation subsystem 101 can determine, based on the comparison results it generates or receives from the calculation subsystem 102, whether the number of charging stations corresponding to each of the at least one operators and / or the charging station information has been changed, and if the number of charging stations or the charging station information corresponding to any of the at least one operators has been changed, it can record the changed charging station information.
[0107] After completing the comparison, the calculation subsystem 102 can return the comparison results to the operation subsystem 101. Accordingly, the operation subsystem 101 can obtain the modified charging station information recorded from the comparison results, determine the modified charging station, and push the latest information on the modified charging station to users with charging needs via a visualization interface.
[0108] Corresponding to the embodiment of the charging station management method described above, the present invention further provides an embodiment of a charging station management device.
[0109] Figure 4 is a hardware structure diagram of an electronic device in which a charging station management device according to an exemplary embodiment is located. In terms of hardware, the device includes a processor 402, an internal bus 404, a network interface 406, memory 408, and non-volatile memory 410, and may of course include hardware necessary for other services. One or more embodiments of the present invention may be implemented on a software basis, for example, the processor 402 reads a corresponding computer program from the non-volatile memory 410 into memory 408 and executes it. Of course, in addition to the software implementation, one or more embodiments of the present invention do not exclude other implementations such as logical devices or combinations of software and hardware, i.e., the entity executing the following processing processes is not limited to each logical unit, but may be hardware or a logical device.
[0110] Figure 5 is a block diagram of a charging station management device according to one exemplary embodiment. The charging station management device may be applied to the electronic device shown in Figure 4 in order to realize the technical proposal of the present invention. Here, the device may be applied to the operation subsystem 101 in a management system, the management system further including a storage subsystem 103, the device may include an acquisition unit 502 for acquiring charging station information corresponding to at least one operator and storing it in the storage subsystem 103, a cleaning unit 504 for causing the operation subsystem 101 itself or an external computing subsystem 102 to perform data cleaning on the charging station information stored in the storage subsystem 103 and obtain data cleaning results, and a determination unit 506 for determining abnormal information of a charging station corresponding to any of the at least one operator from the data cleaning results.
[0111] In this embodiment, the apparatus may further include an output unit for outputting the abnormal information to the user.
[0112] In this embodiment, the cleaning unit 504 further causes the operation subsystem itself or the calculation subsystem 102 to compare the charging station information stored in the storage subsystem with the history charging station information, obtains a comparison result, determines the number of charging stations corresponding to each of the at least one operators and / or whether the charging station information has been changed based on the comparison result, and if the number of charging stations corresponding to any of the at least one operators or the charging station information has been changed, it is used to record the changed charging station information.
[0113] In this embodiment, the output unit is further used to output the modified charging station information to the user.
[0114] In this embodiment, the charging station information includes the address information of the charging station. The cleaning unit 504 further acquires the address information of the charging station, determines whether the address information of the charging station is complete, and if the address information of the charging station is complete, it calls an address analysis API to analyze the address information and obtains an analysis result. Based on the analysis result, it determines whether the address information is accurate. If it determines that the address information is inaccurate, it generates a first instruction information to indicate an address anomaly of the charging station as the data cleaning result. If the address information of the charging station is incomplete, it is used to generate a first instruction information to indicate an address anomaly of the charging station as the data cleaning result.
[0115] In this embodiment, the charging station information includes the number of equipment units in the charging station, and the cleaning unit 504 further acquires the number of equipment units in the charging station, determines whether the number of equipment units is a predetermined number, and if the number of equipment units is the predetermined number, it is used to generate second instruction information as the data cleaning result to indicate that the number of equipment units is the predetermined number.
[0116] In this embodiment, the charging station information includes charging station status information, and the cleaning unit 504 further acquires the charging station status information, determines whether the charging station status information corresponds to a predetermined time period, determines whether the charging station is in a normal state based on the charging station status information if the charging station status information corresponds to the predetermined time period, generates a third instruction information as the data cleaning result to indicate that the charging station is in a normal state if it is determined that the charging station is in a normal state, and uses the third instruction information to generate the data cleaning result if the charging station status information does not correspond to the predetermined time period.
[0117] In this embodiment, the charging station information includes the charging station's order information. The cleaning unit 504 further acquires the charging station's order information, determines whether the charging station's order information includes normal order information within a predetermined time period, and, if it determines that the charging station's order information does not include normal order information within the predetermined time period, uses a fourth instruction information to indicate that the charging station's order information is not normal as the data cleaning result.
[0118] In this embodiment, the charging station information includes price information for the charging station, and the cleaning unit 504 further acquires the price information for the charging station, determines whether the price information for the charging station includes price information corresponding to a predetermined time period, and if it is determined that the price information for the charging station does not include price information corresponding to the predetermined time period, it is used to generate a fifth instruction information as the data cleaning result to indicate that the price information for the charging station is not normal.
[0119] In this embodiment, the at least one business operator includes multiple business operators, and the cleaning unit 504 further acquires charging station information corresponding to each of the multiple business operators, determines whether the charging station information corresponding to any of the multiple business operators overlaps with the charging station information corresponding to another of the multiple business operators, and if it is determined that the charging station information corresponding to any of the multiple business operators overlaps with the charging station information corresponding to another of the multiple business operators, it is used to generate a sixth instruction information as the data cleaning result to indicate that the dependency relationship of the corresponding charging station is abnormal.
[0120] The process for realizing the function and operation of each unit in the aforementioned apparatus is described in detail in the process for realizing the corresponding step in the method described above, so the explanation is omitted here.
[0121] Regarding the apparatus embodiments, they basically correspond to the method embodiments, so relevant parts should be referred to in the description of the method embodiments. The apparatus embodiments described above are merely illustrative; units described as separate components may or may not be physically separated, and components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Depending on actual needs, some or all of these modules can be selected to realize the objectives of the technical proposal of the present invention. Those skilled in the art will be able to understand and implement it without requiring any creative effort.
[0122] The systems, devices, modules, or units described in the above embodiments may be specifically implemented by computer chips, entities, or products having some function. A typical implementing device is a computer, and the specific form of the computer may be a personal computer, laptop computer, mobile phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email sending and receiving device, game console, tablet, wearable device, or any combination of these devices.
[0123] A typical computer configuration includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.
[0124] Memory may include volatile memory, random access memory (RAM), and / or non-volatile memory in a computer-readable medium, such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
[0125] Computer-readable storage media include non-volatile and volatile media, movable and immovable media, and information storage can be realized by any method or technique. Information may be computer-readable instructions, data structures, program modules, or other data. Computer storage media include, but are not limited to, Phase Change RAM (PRAM), Static Random-Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Flash Memory or other memory technologies, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic Cassette Tape, Disk Storage, Quantum Memory, Graphene-based Storage Media or other Magnetic Storage Devices, or any other non-transmission media that may be used to store information accessible from a computing device. According to the definition herein, computer-readable storage media does not include temporary storage computer-readable storage media (transitory media), such as modulated data signals and carriers.
[0126] Furthermore, the terms “include,” “contain,” or any other variation thereof are intended to include non-exclusive inclusion, thereby including not only these elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. Unless further restrictions are imposed, an element limited by the phrase “include one…” is not precluded from the existence of other identical elements in a process, method, article, or device containing such element.
[0127] Specific embodiments of the present invention have been described above. Other embodiments are within the scope of the claims. In some cases, the operations or steps described in the claims may be performed in a different order than those in the embodiments to achieve the desired results. Furthermore, the processes shown in the drawings do not necessarily have to be performed in the specific order or sequence shown to obtain the desired results. In some embodiments, multitasking or parallel processing may be advantageous.
[0128] The terms used in one or more embodiments of the present invention are merely for the purpose of describing a particular embodiment and are not intended to limit one or more embodiments of the present invention. The singular forms “one kind,” “the said,” and “the” used in one or more embodiments and claims of the present invention are also intended to include the plural form unless the context clearly indicates otherwise. Furthermore, the term “and / or” used in the present invention should be understood to include any or all possible combinations of one or more related enumerated items.
[0129] One or more embodiments of the present invention may use terms such as first, second, third, etc., to describe various types of information, but it should be understood that this information is not limited to these terms. These terms are used solely to distinguish the same type of information. For example, without departing from the scope of one or more embodiments of the present invention, first information may be called second information, and similarly, second information may be called first information. Depending on the context, the word "…case" used herein may be interpreted as "…and," "…when," or "in response to a decision."
[0130] The foregoing describes only preferred embodiments of one or more embodiments of the present invention and is not intended to limit one or more embodiments of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of one or more embodiments of the present invention should be included within the scope of protection of one or more embodiments of the present invention.
[0131] The user information (including, but not limited to, user terminal information and user personal information) and data (including, but not limited to, analytical data, stored data, and display data) according to the present invention are all information and data obtained with the user's permission or with the full permission of each relevant party. The collection, use, and processing of related data comply with the laws, regulations, and standards of the relevant countries and regions, and a corresponding operating interface is provided that allows the user to choose to permit or deny.
Claims
1. A method for managing a charging station applied to an operating subsystem in a management system, wherein the management system further includes a storage subsystem, The steps include: acquiring charging station information corresponding to at least one operator and storing it in the storage subsystem; The steps include having the operation subsystem itself or an external computing subsystem perform data cleaning on the charging station information stored in the storage subsystem and obtaining the data cleaning results, The step of determining abnormal information of a charging station corresponding to one of the at least one operators from the data cleaning results, A method for managing a charging station, characterized by the following features.
2. moreover, The step includes outputting the aforementioned abnormal information to the user, The method for managing a charging station according to feature 1.
3. moreover, The steps include: having the operation subsystem itself or the calculation subsystem compare the charging station information stored in the storage subsystem with the historical charging station information and obtaining the comparison result; Based on the comparison results, the steps include determining the number of charging stations corresponding to each of the at least one operators, and / or whether the charging station information has been changed, The process includes the step of recording the changed charging station information if the number of charging stations corresponding to any of the at least one operators or the charging station information changes. The method for managing a charging station according to feature 1.
4. moreover, The process includes the step of outputting the modified charging station information to the user. The method for managing a charging station according to feature 3.
5. The charging station information includes the address information of the charging station, and the step of having the operation subsystem itself or the calculation subsystem perform data cleaning on the charging station information stored in the storage subsystem and obtaining the data cleaning result is: The steps include obtaining the address information of the charging station, A step of determining whether the address information of the charging station is complete, If the address information of the charging station is complete, the step of calling the address analysis API to analyze the address information, obtaining the analysis result, and determining whether the address information is accurate based on the analysis result, If it is determined that the address information is inaccurate, the step of generating first instruction information to indicate an address anomaly of the charging station as a result of the data cleaning, If the address information of the charging station is incomplete, the step of generating the first instruction information as a data cleaning result is included. The method for managing a charging station according to feature 1.
6. The steps of calling the address analysis API, analyzing the address information, obtaining the analysis result, and determining whether the address information is accurate based on the analysis result are as follows: The steps include calling the address analysis API to analyze the address information and generating latitude and longitude information corresponding to the address information, A step of querying whether the location corresponding to the latitude and longitude information matches the address information, The process includes the step of determining that the address information is accurate if the location corresponding to the latitude and longitude information matches the address information. The method for managing a charging station according to feature 5.
7. The charging station information includes the number of charging station facilities, and the step of having the operation subsystem itself or the calculation subsystem perform data cleaning on the charging station information stored in the storage subsystem, and obtaining the data cleaning result, is: The steps include obtaining the number of facilities at the aforementioned charging station, The steps include determining whether the number of the aforementioned equipment is a predetermined number, If the number of equipment is the predetermined number, the data cleaning result includes the step of generating a second instruction information to indicate that the number of equipment is the predetermined number. The method for managing a charging station according to feature 1.
8. The charging station information includes charging station status information, and the step of having the operation subsystem itself or the calculation subsystem perform data cleaning on the charging station information stored in the storage subsystem, and obtaining the data cleaning result, is: The steps include: acquiring status information of the charging station, The steps include determining whether the status information of the charging station corresponds to a predetermined time period, If the status information of the charging station corresponds to the predetermined time period, the step of determining whether the status of the charging station is normal based on the status information of the charging station, If it is determined that the state of the charging station is not normal, the step of generating a third instruction information as the data cleaning result to indicate that the state of the charging station is not normal, If the status information of the charging station is not the status information corresponding to the predetermined time period, the step of generating the third instruction information as the data cleaning result is included. The method for managing a charging station according to feature 1.
9. The charging station information includes the order information of the charging station, and the operation subsystem itself or the calculation subsystem is instructed to perform data cleaning on the charging station information stored in the storage subsystem, and the step of obtaining the data cleaning result is as follows: The steps include obtaining order information for the aforementioned charging station, The steps include determining whether the order information of the charging station includes normal order information within a predetermined time period, If it is determined that the order information of the charging station does not include normal order information within the predetermined time period, the step of generating a fourth instruction information as a data cleaning result to indicate that the order information of the charging station is not normal, includes: The method for managing a charging station according to feature 1.
10. The charging station information includes charging station price information, and the step of having the operation subsystem itself or the calculation subsystem perform data cleaning on the charging station information stored in the storage subsystem, and obtaining the data cleaning result, is: The steps include obtaining price information for the aforementioned charging station, The steps include determining whether the price information of the charging station includes price information corresponding to a predetermined time period, If it is determined that the price information for the charging station does not include price information corresponding to the predetermined time period, the data cleaning result includes the step of generating a fifth instruction information to indicate that the price information for the charging station is abnormal. The method for managing a charging station according to feature 1.
11. The steps include having the operation subsystem itself or the computing subsystem perform data cleaning on the charging station information stored in the storage subsystem, and obtaining the data cleaning results, The steps include: obtaining charging station information corresponding to each of the aforementioned multiple operators; The steps include determining whether the charging station information corresponding to one of the aforementioned multiple operators overlaps with the charging station information corresponding to another of the aforementioned multiple operators, The data cleaning result includes the step of generating a sixth instruction information to indicate that the dependency relationship of the charging station corresponding to the operator is abnormal, if it is determined that the charging station information corresponding to any of the aforementioned multiple operators overlaps with the charging station information corresponding to another operator among the aforementioned multiple operators. The method for managing a charging station according to feature 1.
12. Memory subsystem and The system includes an operation subsystem for acquiring charging station information corresponding to at least one operator, storing it in the storage subsystem, causing the operation subsystem itself or an external computing subsystem to perform data cleaning on the charging station information stored in the storage subsystem, obtaining data cleaning results, and determining abnormal information for charging stations corresponding to any of the at least one operator from the data cleaning results. A charging station management system characterized by the following features.
13. A charging station management device applied to an operating subsystem in a management system, wherein the management system further includes a storage subsystem, An acquisition unit for acquiring charging station information corresponding to at least one operator and storing it in the storage subsystem, A cleaning unit for causing the operation subsystem itself or an external computing subsystem to perform data cleaning on the charging station information stored in the storage subsystem and to obtain the data cleaning results, A determination unit for determining abnormal information of a charging station corresponding to one of the at least one operators from the data cleaning results, A charging station management device characterized by the following features.
14. An electronic device comprising a communication interface, a processor, memory, and a bus, wherein the communication interface, the processor, and the memory are connected to each other via the bus. Machine-readable instructions are stored in the memory, and the processor executes the charging station management method according to any one of claims 1 to 11 by calling the machine-readable instructions. An electronic device characterized by the following features.
15. A machine-readable storage medium storing machine-readable instructions, wherein when the machine-readable instructions are called and executed by a processor, the charging station management method described in any one of claims 1 to 11 is performed. A machine-readable storage medium characterized by the following features.