Method, system, storage medium and equipment for charging station asset operation analysis

By building a database for charging station asset operation analysis and a charging pile asset management platform, the problems of unbalanced utilization rate and data islands in charging station management are solved, real-time monitoring of charging station assets and improving operational efficiency, and promoting the popularization of electric vehicles.

CN119963020APending Publication Date: 2025-05-09SPIC INTEGRATED SMART ENERGY TECH CO LTD
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Patent Information

Application Number
CN202411399446.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-08
Publication Date
2025-05-09

AI Technical Summary

Technical Problem

The existing charging station management methods have problems such as unbalanced utilization rate, low operational efficiency, and poor user experience. In addition, charging piles of different brands and models lack unified data transmission standards and interfaces, resulting in serious data island phenomena and it is difficult for investors to conduct comprehensive asset management.

Method used

By building a database for the operation and analysis of charging station assets, establishing a charging pile asset management platform, and connecting with multiple third-party platforms through standardized protocols, obtaining static and dynamic data of charging pile equipment, calculating key indicators of different time dimensions of charging stations, such as the number of charging times, charging amount, utilization rate and offline rate, and formulating a charging station asset operation report.

Benefits of technology

Real-time monitoring and in-depth analysis of charging station assets is realized, helping managers understand operational status, optimize resource allocation, improve operational efficiency, improve user experience, and promote the popularization of electric vehicles.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of charging station asset management, and relates to a method and system for charging station asset operation analysis, a storage medium and equipment, and the method comprises the steps: constructing a database for charging station asset operation analysis, and building a charging pile asset management platform through the database for charging station asset operation analysis; through the charging pile asset management platform, obtaining data related to the operation state of a plurality of charging pile devices of the charging station; calculating the trend analysis of the charging times, the charging quantity, the charging pile utilization rate and the charging pile offline rate of the charging station in different time dimensions through the data related to the operation state; and formulating a charging station asset operation report based on the trends of the charging times, the charging amount, the charging pile utilization rate and the offline rate of different time dimensions. The problem that the data islanding phenomenon is serious due to the fact that charging piles of different brands and models are lack of unified data transmission standards and interfaces is solved.
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Description

Technical Field

[0001] The present invention belongs to the technical field of charging station asset management and relates to a method, system, storage medium and device for charging station asset operation analysis. Background Art

[0002] With the increasing global awareness of environmental protection and the gradual transformation of energy structure, electric vehicles, as an important carrier of green travel, are rapidly gaining popularity. As a key link in the electric vehicle industry chain, the construction and operation of charging stations are directly related to the speed of popularization and user experience of electric vehicles. With the development of the electric vehicle business, many brands of charging pile hardware and software have appeared in the current market.

[0003] Traditional charging station management methods rely on manual inspections and simple data recording. The communication protocols and data upload processes of charging stations are basically private protocols of each manufacturer. After the charging station projects of various manufacturers are put into operation, there are many challenges and problems, such as uneven utilization of charging piles, low operating efficiency, and poor user experience.

[0004] Based on the above problems, there is a lack of unified data transmission standards and interfaces between charging piles of different brands and models. The assets of each charging station are scattered and managed on the proprietary platforms of each manufacturer, resulting in serious data silos. Investors lack an effective way to conduct standardized management of all their charging assets. Summary of the invention

[0005] In order to solve the above-mentioned problems, the present invention provides a method, system, storage medium and device for charging station asset operation analysis.

[0006] In a first aspect, the present invention provides a method for analyzing the operation of charging station assets, which adopts the following technical solution:

[0007] A method for analyzing the operation of charging station assets comprises the following steps:

[0008] Construct a database for asset operation analysis of charging stations, and establish a charging pile asset management platform through the database for asset operation analysis of charging stations; the database for asset operation analysis of charging stations is connected with multiple third-party databases through standardized protocols, and data related to the operation status of multiple charging pile devices of the charging station are obtained through the charging pile asset management platform; calculate the trend analysis of the number of charging times, charging amount, charging pile utilization rate, and charging pile offline rate in different time dimensions of the charging station through the data related to the operation status; formulate a charging station asset operation report based on the trends of charging amount, charging pile utilization rate, number of charging times, and charging pile offline rate in different time dimensions.

[0009] Preferably, the construction of a database for charging station asset operation analysis and the establishment of a charging pile asset management platform through the database for charging station asset operation analysis include: determining a third-party platform that needs to be connected, wherein the third-party platform includes the manufacturer of the charging pile equipment, the payment platform, and the supervision platform; determining the data type to be obtained from the third-party platform, wherein the data type includes the static data and dynamic data of the charging pile equipment.

[0010] Preferably, the static data includes the model, installation location, and manufacturer of the charging pile equipment; the dynamic data includes the charging voltage, current and power, charging order, and charging status of the charging pile equipment.

[0011] Preferably, the construction of a database for charging station asset operation analysis and the establishment of a charging pile asset management platform through the database for charging station asset operation analysis also include: formulating internal data transmission standards, that is, formulating an adaptive standardized protocol; for the database for charging station asset operation analysis, developing an interface that is compatible with a third-party platform, and performing data transmission in accordance with the formulated standardized protocol.

[0012] Preferably, the construction of a database for charging station asset operation analysis and the establishment of a charging pile asset management platform through the database for charging station asset operation analysis also include: collecting static data and dynamic data of charging pile equipment from a third-party platform; collecting static data and dynamic data of charging pile equipment from a third-party platform and denoising the data; and uniformly converting data formats of different third-party platforms into a format recognizable by the database for charging station asset operation analysis and storing the data in the database for charging station asset operation analysis.

[0013] Preferably, the trend analysis of the utilization rate of charging piles in different time dimensions of the charging station is calculated, including the following formula:

[0014]

[0015] Among them, R A is the daily utilization rate of a single charging station, R S1 is the utilization rate of a single charging station from 00:00 to 01:00 on the same day, R S24 It is the utilization rate of a single charging station between 23:00 and 24:00 on the same day.

[0016] Preferably, the trend analysis of the offline rate of charging piles in different time dimensions of the charging station is calculated, including the following formula:

[0017]

[0018] Among them, Q A is the daily average offline rate of a single charging station, QS1 is the offline rate of a single charging station from 00:00 to 01:00 on the same day, Q S24 It is the offline rate of a single charging station between 23:00 and 24:00 on the same day.

[0019] In a second aspect, the present invention provides a system for analyzing the operation of charging station assets, which adopts the following technical solution:

[0020] A system for analyzing the operation of charging station assets, the system comprising a module for establishing a charging pile asset management platform, a module for acquiring dynamic data, a module for analyzing the operation of charging station assets, and a module for formulating a charging station asset operation report;

[0021] The charging pile asset management platform establishment module establishes the charging pile asset management platform according to the database used for charging station asset operation analysis;

[0022] The dynamic data acquisition module is used to acquire data related to the operating status of the charging pile equipment in real time;

[0023] The analysis module of the charging station asset operation is used to calculate the number of charging times, charging amount, charging pile utilization rate, and charging pile offline rate trend analysis in different time dimensions of the charging station;

[0024] The charging station asset operation report formulation module is used to provide the charging station asset operation report to the investor.

[0025] In a third aspect, the present invention provides a computer storage medium, which adopts the following technical solution:

[0026] A computer storage medium stores one or more programs, which, when executed, implements the above-mentioned method for charging station asset operation analysis.

[0027] In a fourth aspect, the present invention provides a device, which adopts the following technical solution:

[0028] A device includes a processor, a communication interface, a memory and a communication bus; the processor, the communication interface and the memory communicate with each other via the communication bus; the memory stores at least one program in the computer storage medium that can be loaded and executed by the processor.

[0029] In summary, the present invention includes the following beneficial technical effects:

[0030] 1. Through real-time monitoring and in-depth analysis of charging station asset operation data, managers can timely understand the operating status of charging stations, including key indicators such as charging pile utilization, offline rate, charging capacity, and charging times. These data provide strong support for formulating and adjusting operating strategies, helping to optimize resource allocation and improve the operating efficiency of charging stations;

[0031] 2. Charging station asset operation analysis not only focuses on operational efficiency, but also strives to improve user experience. By analyzing users' charging habits and needs, managers can optimize the layout and configuration of charging piles to ensure that users can find and use charging piles easily and quickly;

[0032] 3. The method of asset operation analysis of charging stations plays an important role in promoting the popularization of electric vehicles and reducing the use of traditional fuel vehicles. By optimizing the layout of charging stations and improving charging efficiency, it can reduce the possibility of users continuing to use fuel vehicles due to charging inconveniences, help attract more electric vehicle users, and promote the sustainable development of the charging station business. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A flow chart of a method for charging station asset operation analysis is disclosed.

[0034] Figure 2 It is a flowchart that discloses the platform for charging pile asset management to obtain dynamic data.

[0035] Figure 3 A framework diagram of a method for analyzing charging station asset operations is disclosed.

[0036] Figure 4 The invention discloses a structural schematic diagram of an electronic device. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0038] The following is combined with Figure 1-4 The preferred embodiments of the present invention are described in detail.

[0039] See attached Figure 1 The present invention proposes a method for analyzing the operation of charging station assets. The method collects and counts static data and dynamic data of charging piles of different brands to realize the normalized calculation and management of the operation of charging assets in the project-charging station-charging pile-charging gun dimension and the operation status in the project-charging station-charging pile-charging gun dimension.

[0040] The method for analyzing the operation of charging station assets comprises the following steps:

[0041] S1. Establish a charging pile asset management platform

[0042] First, a database for charging station asset operation analysis is built through a database management system (DBMS). Then, the database for charging station asset operation analysis needs to be connected with the databases of multiple third-party platforms, and then a standardized protocol is used for data transmission to ensure the compatibility and accuracy of the transmitted data.

[0043] Among them, the charging station used for charging station asset operation analysis includes: a number of charging pile devices.

[0044] The specific steps are as follows:

[0045] S11. Develop a standardized protocol, with the following steps:

[0046] 1. Refer to existing standardized protocols. Given the diversity and complexity of the market, study existing international standards (such as OCPP-Open Charge Point Protocol) or industry standards (such as CEC charging protocol) and evaluate the applicability of existing international standards or industry standards.

[0047] 2. Develop adaptive standardized protocols. If the existing international standards and industry standards cannot meet the docking requirements, it is necessary to consider developing internal data transmission standards.

[0048] Among them, the internal data transmission standard refers to the data transmission standard used by the charging pile asset management platform, which needs to specify the format of transmitted data, data security requirements (such as encryption, authentication), data transmission method (such as HTTP, MQTT), and data error handling mechanism to ensure the accuracy and security of the data.

[0049] S12, interface development and testing, the specific steps are as follows:

[0050] 1. Development of a data transmission interface, a database for charging station asset operation analysis, and development of an interface compatible with a third-party platform. The interface is used to receive and send data and needs to follow the standardized protocol established in step S11 for data transmission.

[0051] 2. Adapt the third-party platform and develop corresponding codes or modules for the interface of the database used for charging station asset operation analysis. Through the adapted code or module, the interface can read and transmit data from the third-party platform.

[0052] 3. Encryption and authentication: The interface of the database used for charging station asset operation analysis needs to follow the standardized protocol established in step S11 and add corresponding encryption and authentication mechanisms to ensure the security and integrity of data transmission.

[0053] 4. Testing and verification: Through a simulated environment, multiple data transmission tests are performed on the interface of the database used for charging station asset operation analysis to verify the security and compatibility of data transmission.

[0054] Among them, multiple data transmission tests are conducted on the interface of the database used for charging station asset operation analysis, including unit testing, integration testing, and performance testing;

[0055] A1. Unit testing: Unit testing is performed on the interface of the database used for charging station asset operation analysis to verify that the code or module developed by the interface works as expected;

[0056] A2. Integration test: The adapted code or module is integrated into the database for charging station asset operation analysis for integration test to verify the accuracy and reliability of data transmission;

[0057] A3. Performance testing: By simulating high-concurrency and large-data-volume simulation scenarios, performance testing is performed on the interface of the database used for charging station asset operation analysis to verify the efficiency and stability of data transmission.

[0058] S13. Clarify the target and type of docking, and the specific steps are as follows:

[0059] 1. Clarify the docking objectives and determine the third-party platforms that need to be docked, including charging pile equipment manufacturers, payment platforms, and regulatory platforms.

[0060] 2. Clarify the data type and the type of data that needs to be obtained from the third-party platform, including the static data and dynamic data of the charging pile equipment.

[0061] Among them, the static data of the charging pile equipment includes the model of the charging pile equipment, the installation location of the charging pile equipment, and the manufacturer of the charging pile equipment;

[0062] The dynamic data of the charging pile equipment includes real-time data such as the charging voltage of the charging pile equipment, the charging order of the charging pile equipment, the current of the charging pile equipment, the power of the charging pile equipment, and the charging status of the charging pile equipment.

[0063] S14, data collection and preprocessing, specifically the following steps:

[0064] 1. Data collection: According to the standardized protocol developed in step S11, the standardized interface developed in step S12 collects static data and dynamic data of the charging pile equipment of the third-party platform in real time or regularly.

[0065] 2. Data preprocessing: denoising the static data and dynamic data of the charging pile equipment collected to ensure the accuracy and consistency of the collected data.

[0066] 3. Data storage: Since different third-party platforms have different data formats, they need to be uniformly converted into a format recognizable by the database for charging station asset operation analysis according to the standardized protocol formulated in step S11 and stored in the database.

[0067] S15. Establish a charging pile asset management platform

[0068] Based on the database for charging station asset operation analysis preprocessed in step S14, a charging pile asset management platform is established.

[0069] S2. Acquisition of dynamic data

[0070] The charging pile asset management platform obtains data related to the operating status of the charging pile equipment in real time through power station equipment monitoring, including charging status and duration, voltage and current, charging amount, real-time charging power, number of charging times, and SOC.

[0071] Among them, a single charging pile device includes: several charging gun devices.

[0072] The specific steps are as follows:

[0073] S21, Project - Charging Station - Charging Pile - Charging Gun Dimension

[0074] See attached Figure 2 The cloud platform of the third-party manufacturer is interconnected with the charging pile equipment of each charging station, and can obtain data related to the operating status of the charging pile equipment and the latitude and longitude data of the charging station in real time;

[0075] Exemplarily, the cloud platform of manufacturer 1 obtains data related to the operating status of multiple charging pile devices of manufacturer 1 and the longitude and latitude data of the charging stations of manufacturer 1 in real time;

[0076] The cloud platform of manufacturer 2 obtains the corresponding data on the operating status of multiple charging pile devices of manufacturer 2 and the longitude and latitude data of the charging stations of manufacturer 2 in real time.

[0077] S22. Charging pile asset management platform - project dimension

[0078] The charging pile asset management platform obtains data related to the operating status of charging pile equipment and the latitude and longitude data of charging stations collected by the cloud platform of third-party manufacturers through power station equipment monitoring;

[0079] Exemplarily, the charging pile asset management platform obtains the data collected by the cloud platform of manufacturer 1 and the cloud platform of manufacturer 2 in real time through power station equipment monitoring, and realizes management in the dimensions of charging pile asset management platform-project-charging station-charging pile-charging gun.

[0080] S3. Charging station asset operation analysis

[0081] The charging pile asset management platform summarizes the current, voltage, and charging capacity data of charging pile equipment from different manufacturers according to different time dimensions, and calculates the trend analysis of the number of charging times, charging capacity, charging pile utilization rate, and charging pile offline rate at different time dimensions of the charging station.

[0082] S31. The charging capacity of the charging station is as follows:

[0083] E S =E P1 +...+E Pn

[0084] Among them, E S Indicates the charging capacity of the charging station, in kilowatt-hours (kWh); E Pn Indicates the charging capacity of a single charging station in kilowatt-hours (kWh).

[0085] For example, assume that a certain charging station has 10 charging piles, and the 10 charging piles are marked 1-10 in sequence, and each charging pile includes two charging guns, namely, gun A and gun B.

[0086] Assume that the charging station only has A guns of charging piles numbered 1-5, and charges once during the time period from 0:00 to 1:00 on a certain day. During this time period, A guns of charging piles numbered 1-5 are used for 60 minutes, and the charging capacity is 10 kWh;

[0087] The charging capacity of the charging station satisfies the following formula:

[0088] E S =10+10+10+10+10=50kWh

[0089] S32, the number of charging times of the charging station, specifically the following formula:

[0090] C S =C P1 +...+C Pn

[0091] Among them, C S is the number of charging times at the charging station, C Pn It is the number of times a single charging pile is charged.

[0092] Exemplarily, according to the embodiment of step S31, the number of charging times of the charging station is calculated to satisfy the following formula:

[0093] C S =1+1+1+1+1=5 times

[0094] S33, the utilization rate of a single charging gun in a certain hour, the specific formula is as follows:

[0095]

[0096] Among them, R G Indicates the utilization rate of a single charging gun in a certain hour; T C Indicates the duration that a single charging gun is in charging state within this hour, in minutes.

[0097] Exemplarily, according to the embodiment of step S31, the utilization rate of the time period from 0 to 1 of charging pile A No. 1 is calculated, and the following formula is satisfied:

[0098]

[0099] S34. The average utilization rate of a single charging pile in a certain hour is as follows:

[0100]

[0101] Among them, R P Represents the average utilization rate of a single charging pile in a certain hour, R Gn It indicates the utilization rate of the nth charging gun of the charging pile this hour, and n indicates the number of charging guns of the charging pile.

[0102] Exemplarily, according to the embodiment of step S33, the average utilization rate of the time period from 0 to 1 of charging pile A No. 1 is calculated, and the following formula is satisfied:

[0103]

[0104] S35. The average utilization rate of a single charging station in a certain hour is as follows:

[0105]

[0106] Among them, R S is the average utilization rate of a single charging station in a certain hour, R Pm is the utilization rate of the mth charging pile of the charging station this hour, and m is the number of charging piles in the charging station.

[0107] Exemplarily, according to the embodiment of step S34, the average utilization rate of the charging station during the time period 0-1 is calculated, and the following formula is satisfied:

[0108]

[0109] S36, daily average utilization rate of a single charging station, the specific formula is as follows:

[0110]

[0111] Among them, RA represents the daily average utilization rate of a single charging station, R S24 Indicates the utilization rate of a single charging station between 23:00 and 24:00 on the same day.

[0112] Exemplarily, according to the embodiment of step S35, the average utilization rate of the charging station for a whole day is calculated to satisfy the following formula:

[0113]

[0114] S37, the offline rate of a single charging pile in a certain hour, the specific formula is as follows:

[0115]

[0116] Among them, Q P Indicates the offline rate of a single charging pile in a certain hour; K C Indicates the duration that a single charging pile is offline within this hour, in minutes.

[0117] For example, assume that a certain charging station has 10 charging piles, and the 10 charging piles are marked 1-10 in sequence, and each charging pile includes two charging guns, namely, gun A and gun B.

[0118] Assume that the charging station has only charging pile numbered 1, which is offline during the time period from 0:00 to 6:00 on a certain day. Calculate the offline rate of charging pile numbered 1 during the time period from 0:00 to 6:00, and satisfy the following formula:

[0119]

[0120] S38. The average offline rate of a single charging station in a certain hour is as follows:

[0121]

[0122] Among them, Q S represents the average offline rate of a single charging station in a certain hour, Q Pm It represents the offline rate of the mth charging pile of the charging station this hour, and m represents the number of charging piles in the charging station.

[0123] Exemplarily, according to the embodiment of step S37, the offline rate of the charging station in the time period of 0-6 hours is calculated, which satisfies the following formula:

[0124]

[0125] S39, daily average offline rate of a single charging station, the specific formula is as follows:

[0126]

[0127] Among them, QA represents the daily average offline rate of a single charging station, Q S24 Indicates the offline rate of a single charging station between 23:00 and 24:00 on the same day.

[0128] Exemplarily, according to the embodiment of step S37, the average offline rate of the charging station for a whole day is calculated to satisfy the following formula:

[0129]

[0130] S4. Prepare charging station asset operation report

[0131] Based on the dynamic data of each charging pile in the charging station, the charging pile asset management platform can calculate the key operating parameters of charging volume, charging times, charging pile utilization rate, and charging pile offline rate in different time dimensions. Through real-time data analysis, the charging pile asset management platform provides investors with detailed charging station asset operation reports.

[0132] S41. The higher the utilization rate of the charging station, the lower the vacancy rate of the asset, which proves that the income of the charging station asset is higher; the lower the utilization rate of the charging station, the higher the vacancy rate of the asset, which proves that the income of the charging station asset is lower;

[0133] For example, the average utilization rate of the charging station for a whole day is set to R A ≥20%.

[0134] S42. The offline rate of the charging station is too high, which is equivalent to the failure rate of multiple charging pile devices in the charging station being too high. The charging pile asset management platform uses power station equipment monitoring. If the offline rate of the charging station is too high, it will immediately feedback the abnormal conditions of the charging pile equipment and charging guns.

[0135] For example, the average offline rate Q of the charging station for a whole day is set to A ≤10%.

[0136] S43. Data display and map positioning

[0137] The static data and dynamic data of the charging pile equipment and the latitude and longitude data of the charging station obtained in step S2 are displayed on the map through the charging pile asset management platform. Users can view the distribution and specific data of each charging station at any time through the map.

[0138] See attached Figure 3 The present invention proposes a system for analyzing the operation of charging station assets, which includes a module for establishing a charging pile asset management platform, a module for acquiring dynamic data, a module for analyzing the operation of charging station assets, and a module for formulating a charging station asset operation report.

[0139] The charging pile asset management platform establishment module establishes the charging pile asset management platform according to the database used for charging station asset operation analysis;

[0140] The dynamic data acquisition module is used to acquire data related to the operating status of the charging pile equipment in real time;

[0141] The analysis module of the charging station asset operation is used to calculate the number of charging times, charging amount, charging pile utilization rate, and charging pile offline rate trend analysis in different time dimensions of the charging station;

[0142] The charging station asset operation report formulation module is used to provide the charging station asset operation report to the investor.

[0143] The modules described above may be implemented in whole or in part through software, hardware, or a combination thereof, supporting processors embedded in or independent of a computer device in hardware form, and also supporting memories stored in a computer device in software form, so that the processor can call and execute operations corresponding to the modules described above.

[0144] An embodiment of the present invention provides a computer storage medium storing instructions executable by at least one processor, wherein the instructions are executed by at least one processor to enable the at least one processor to execute a computer program for a method for analyzing charging station asset operations as described above.

[0145] The storage medium exemplarily includes: a USB flash drive, a mobile hard disk, a magnetic disk, a read-only memory (ROM), a random access memory (RAM), or an optical disk, and other media that can store program codes.

[0146] The embodiment of the present invention provides a device, see the attached Figure 4 , used to execute the above-mentioned coding management platform, the computer device includes a processor, a memory, a network interface and a database connected through a system bus. The processor of the computer device is used to provide computing and control capabilities; the memory of the computer device includes a non-volatile storage medium and an internal memory; the processor of the computer device implements the steps of the above-mentioned coding management method when executing a computer program; the non-volatile storage medium stores an operating system, a computer program and a database; the internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium.

[0147] It should be noted that the user information (including but not limited to user device information and personal information, etc.) and data (including but not limited to data used for analysis, stored data and displayed data, etc.) involved in the present invention are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0148] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for analyzing the operation of charging station assets, characterized in that: The method comprises the following steps: Constructing a database for charging station asset operation analysis, and establishing a charging pile asset management platform through the database for charging station asset operation analysis; The database for charging station asset operation analysis is connected to multiple third-party databases through a standardized protocol, and data related to the operation status of multiple charging pile devices of the charging station is obtained through the charging pile asset management platform; Through the data related to the operating status, the trend analysis of the number of charging times, charging amount, charging pile utilization rate and charging pile offline rate of the charging station in different time dimensions is calculated; Prepare a charging station asset operation report based on the trends of charging times, charging volume, charging pile utilization, and charging pile offline rate in different time dimensions.

2. A method for analyzing charging station asset operation according to claim 1, characterized in that: The database for charging station asset operation analysis is constructed, and a charging pile asset management platform is established through the database for charging station asset operation analysis, including: Determine the third-party platforms that need to be connected, including the manufacturers of charging pile equipment, payment platforms, and regulatory platforms; Determine the data types that need to be obtained from the third-party platform, including static data and dynamic data of the charging pile equipment.

3. A method for analyzing charging station asset operation according to claim 2, characterized in that: The static data includes the model, installation location, and manufacturer of the charging pile equipment; The dynamic data includes the charging voltage of the charging pile equipment, the charging order, the current and power of the charging pile equipment, and the charging status of the charging pile equipment.

4. A method for analyzing charging station asset operation according to claim 2, characterized in that: The said constructing a database for charging station asset operation analysis, and establishing a charging pile asset management platform through the said database for charging station asset operation analysis, further includes: Formulate internal data transmission standards, that is, formulate adaptive standardized protocols; For the database used for charging station asset operation analysis, an interface compatible with a third-party platform is developed, and data transmission is carried out in accordance with the established standardized protocol.

5. A method for analyzing charging station asset operation according to claim 4, characterized in that: The said constructing a database for charging station asset operation analysis, and establishing a charging pile asset management platform through the said database for charging station asset operation analysis, further includes: Collect static and dynamic data of charging pile equipment from third-party platforms; Collect static data and dynamic data denoising of charging pile equipment from third-party platforms; According to the established standardized protocol, the data formats of different third-party platforms are uniformly converted into a format recognizable by the database for charging station asset operation analysis and stored in the database for charging station asset operation analysis.

6. A method for analyzing charging station asset operation according to claim 1, characterized in that: The trend analysis of calculating the utilization rate of charging piles in different time dimensions of the charging station includes the following formula: Among them, R A is the daily utilization rate of a single charging station, R S1 is the utilization rate of a single charging station from 00:00 to 01:00 on the same day, R S24 It is the utilization rate of a single charging station between 23:00 and 24:00 on the same day.

7. A method for analyzing charging station asset operation according to claim 1, characterized in that: The trend analysis of calculating the offline rate of charging piles in different time dimensions of the charging station includes the following formula: Among them, Q A is the daily average offline rate of a single charging station, Q S1 is the offline rate of a single charging station from 00:00 to 01:00 on the same day, Q S24 It is the offline rate of a single charging station between 23:00 and 24:00 on the same day.

8. A system for analyzing the operation of charging station assets, characterized in that: The system includes a module for establishing a charging pile asset management platform, a module for acquiring dynamic data, a module for analyzing the operation of charging station assets, and a module for formulating a charging station asset operation report; The charging pile asset management platform establishment module establishes the charging pile asset management platform according to the database used for charging station asset operation analysis; The dynamic data acquisition module is used to acquire data related to the operating status of the charging pile equipment in real time; The analysis module of the charging station asset operation is used to calculate the number of charging times, charging amount, charging pile utilization rate, and charging pile offline rate trend analysis in different time dimensions of the charging station; The charging station asset operation report formulation module is used to provide the charging station asset operation report to the investor.

9. A computer storage medium, characterized in that: One or more programs are stored, and when the one or more programs are executed, a method for analyzing the operation of charging station assets as described in any one of claims 1 to 7 can be implemented.

10. A device, characterized in that: The system comprises a processor, a communication interface, a memory and a communication bus; the memory stores at least one program in a computer storage medium as claimed in claim 9 which can be loaded and executed by the processor.

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