Charging pile operation system and method

Abstract

The invention relates to a charging pile operation system and method, and belongs to the technical field of new energy charging. According to the scheme, after a charging demand sent by a user terminal and the current position of a user are received, a target charging pile is matched for the user according to the occupancy state of the charging pile within a set range around the current position of the user; calling a map of an area where the user is located, generating AR navigation data from the current position of the user to the position of the target charging pile according to the positions of the user and the target charging pile in the map, and sending the AR navigation data to the user terminal; and after the identity of the user arriving at the target charging pile is confirmed, binding is completed based on biological characteristics or multi-mode non-inductive payment bound by the vehicle, charging is started, and money is automatically deducted after charging is completed. According to the method and the system, the pile finding convenience and the payment efficiency are improved, resource optimization configuration is realized through intelligent matching, a visual and accurate charging pile navigation service is provided for a user through AR navigation, the user is helped to quickly find the charging pile in a complex environment, and the finding time is shortened.

Description

A charging pile operation system and method Technical Field

[0001] This invention relates to a charging pile operation system and method, involving AR navigation for precise positioning, multimodal contactless payment, and intelligent matching and diversion technology for charging piles, belonging to the field of new energy charging technology. Background Technology

[0002] In the operation of new energy vehicle charging stations, traditional map navigation, which presents information in a two-dimensional plane, struggles to accurately locate and guide users to charging stations in complex underground parking lots and old neighborhoods, resulting in long search times and a poor user experience. Meanwhile, payment methods such as scanning QR codes and swiping cards require manual verification and payment by users, which is cumbersome and time-consuming, easily causing queues and congestion during peak charging periods, reducing the efficiency of charging station utilization. At the operational management level, existing systems lack in-depth analysis of user charging habits and payment preferences, making it impossible to provide personalized service recommendations or to scientifically plan and accurately allocate charging station resources based on charging demand forecasts. This leads to an imbalance between supply and demand for charging stations in some areas and inconsistent utilization rates.

[0003] Therefore, the current charging pile operation system is still in the "functional patchwork" stage. Users face three pain points: "difficulty in finding charging piles, complicated payment, and uneven resource allocation". It is difficult to meet users' needs for efficient, convenient and intelligent charging services, and it is also unable to adapt to the development demands of operators for refined management and improved resource utilization. Summary of the Invention

[0004] The purpose of this invention is to provide a charging pile operation system and method to solve the core pain points of existing charging piles, such as "difficulty in finding charging piles, cumbersome payment, and uneven resource allocation", and to achieve efficient charging services and intelligent operation management.

[0005] To achieve the above objectives, the present invention provides a charging pile operation method comprising the following steps: 1) Upon receiving a charging request and the user's current location from a user terminal, matching a target charging pile for the user according to a set rule based on the occupancy status of the corresponding charging piles within a set range around the user's current location; 2) Retrieving a map of the user's area, generating AR navigation data from the user's current location to the target charging pile location based on the user's and the target charging pile's location on the map, and sending it to the user terminal; simultaneously, continuously updating the AR navigation data based on changes in the user's location and sending it to the user terminal; the AR navigation data is used to generate guide lines and / or turning indicators superimposed on the forward-facing real-world image captured by the user terminal's camera; 3) After confirming that the user's identity upon arriving at the target charging pile matches the user's identity as the user who sent the charging request, completing payment binding based on a preset multimodal contactless payment method, and controlling the target charging pile to start charging; after charging is completed, automatic deduction is made through the bound payment account without manual operation by the user.

[0006] Furthermore, in step 3), user identity verification is achieved through any of the following methods: collecting the license plate information of the vehicle in the charging space through the target charging pile and comparing it with the license plate information reserved by the user who sent the charging request; or collecting the user's biometric information through the biometric collection hardware (fingerprint, face, iris, etc.) of the target charging pile and comparing it with the biometric data bound to the user terminal.

[0007] Furthermore, the multimodal contactless payment method includes two types: biometric payment: the corresponding biometric collection hardware is activated to complete information collection, and after the user's identity is confirmed by comparison, it is associated with the user's preset payment account; vehicle-linked payment: the camera is activated to collect vehicle license plate information, and after the user's identity is confirmed by comparison, it is matched with the associated user payment account; the payment account is used for automatic deduction after charging is completed, and no additional operation by the user is required throughout the process.

[0008] Furthermore, the setting rules are centered on user needs and resource efficiency, and include basic matching logic and multi-objective optimization strategies. The basic matching logic specifically involves filtering available charging stations within a set range around the user's current location, choosing either "closest" or "lowest unit price" as a single objective to determine candidate charging stations. The multi-objective optimization strategy specifically includes at least two of the following objectives: charging economy (charging unit price, estimated energy cost to reach the charging station), time efficiency (estimated travel time to the charging station), charging station reliability (historical failure rate, real-time status), and predicted charging station occupancy probability. A weighted calculation is performed based on the attribute information corresponding to each optimization objective to obtain a comprehensive recommendation index, and the available charging station with the highest comprehensive recommendation index is selected as the target charging station.

[0009] Furthermore, the predicted probability of charging pile occupancy is determined through one or more of the following methods: the historical usage frequency and time period distribution model of the charging pile; the charging demand trend in the area where the charging pile is located during specific dates, holidays, or large-scale events; and real-time traffic data reflecting the traffic flow in the area or information on surrounding commercial promotional activities.

[0010] Furthermore, the weighting coefficients for the weighted calculation are determined in any of the following ways: by the system operator through unified configuration and adjustment based on the operation strategy; or by dynamic adjustment based on the user's historical selection preferences or the priority specified during the current charging request.

[0011] The present invention provides a charging pile operation system, comprising a processor and a storage medium storing a computer program. When the processor executes the computer program, it implements all the steps of any of the charging pile operation methods described above. The system can also coordinate with user terminals and charging pile terminals to realize AR navigation data transmission, user authentication, and contactless payment data interaction.

[0012] The beneficial effects of this invention are as follows: 1. More efficient and accurate charging station location: AR navigation technology overlays guide lines and turn indicators on the real-world view on the user terminal, breaking through the limitations of traditional two-dimensional navigation. Even in complex underground parking lots, old streets and other scenarios with many obstructions and difficult positioning, it can provide users with intuitive and clear path guidance, help quickly locate the target charging station, greatly shorten the time spent finding the charging station, and improve the convenience of finding the charging station.

[0013] 2. More convenient and seamless payment: Multimodal seamless payment technology (biometric payment, vehicle-linked payment) enables automatic deduction after charging is completed, eliminating the need for users to manually scan codes, swipe cards, or enter commands. This completely simplifies the payment process and avoids queuing congestion caused by payment operations during peak charging hours, improving both the user charging experience and the turnover efficiency of charging stations.

[0014] 3. Smarter Resource Allocation: By integrating multi-dimensional optimization target setting rules and flexible and adjustable weight coefficients, the system achieves precise matching and scientific allocation of charging pile resources, reduces regional supply and demand imbalances, improves the overall utilization rate of charging piles, and provides users with personalized charging service recommendations, balancing user experience and operational efficiency. Attached Figure Description

[0015] Figure 1 is a schematic diagram of the charging pile operation system architecture of the present invention; Figure 2 is a flowchart of the AR navigation implementation of the charging pile operation system / method of the present invention; Figure 3 is a flowchart of the multimodal contactless payment process of the charging pile operation system / method of the present invention. Detailed Implementation

[0016] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be described in detail below with reference to the accompanying drawings and embodiments.

[0017] This invention aims to provide a charging pile operation system and method based on AR navigation, multimodal contactless payment, and intelligent resource matching. It achieves accurate positioning and rapid navigation of charging piles through AR navigation, simplifies the payment process through multimodal contactless payment, and realizes intelligent operation and management of charging piles by combining big data analysis and multi-objective optimization strategies, thereby simultaneously improving the user charging experience and the operating efficiency of charging piles.

[0018] Implementation of charging pile operation system: (1) System architecture.

[0019] The charging pile operation system of the present invention mainly includes a user terminal module, a charging pile terminal module, and a cloud server module. Its architecture is shown in Figure 1.

[0020] User terminal module: This module allows users to install a corresponding charging station operation APP on their smartphones, connected vehicle systems, or other smart devices. Utilizing the device's display screen and the APP software, this module enables AR display functionality. It can receive AR navigation information sent from the cloud server and overlay virtual navigation guidance onto the scene captured by the user terminal module's camera, guiding users to the charging station. It also integrates a multi-module contactless payment SDK (Software Development Kit), supporting biometric (fingerprint, face, iris, etc.) payment and vehicle-linked payment methods. Furthermore, it collects user operation data, charging data, payment data, and historical selection preferences, uploading these data to the cloud server module.

[0021] Charging pile terminal module: Installed on the charging pile, it includes a control unit, communication unit, payment recognition unit, charging metering unit, and biometric data acquisition hardware (camera, fingerprint sensor, iris recognition module, etc.). The control unit is responsible for controlling the charging pile's start and stop, charging power adjustment, and other control operations; the communication unit is used to interact with the cloud server module, receiving control commands and user order information sent by the cloud server, and uploading charging pile status information (such as idle, charging, fault, etc.) and charging metering data; the payment recognition unit is used to identify the user's payment method, interact with the user terminal module or third-party payment platform, and complete payment verification; the charging metering unit is used to accurately measure the user's charging power, providing a basis for billing.

[0022] The cloud server module, as the core of the entire system, is responsible for storing and managing data such as user information, charging pile information, charging order information, payment information, and historical charging information. It processes the collected data using data analysis algorithms to analyze user charging habits, payment preferences, and charging pile usage frequency, predicting charging demand in different areas and time periods. Combining user location and charging pile status, it matches target charging piles according to set rules and plans the optimal AR navigation route. It also coordinates communication between user terminals and charging pile terminals, managing the entire process from order creation and payment processing to charging control.

[0023] (2) AR-based charging pile positioning and navigation method.

[0024] The process of AR-based charging pile positioning and navigation is shown in Figure 2. After the user inputs their charging needs on the charging pile operation APP on the user terminal module, the APP uses the positioning hardware of the user terminal module to obtain the user's current location information and sends it to the cloud server module. Based on the user's location information, the cloud server module queries nearby available charging pile information and, combined with factors such as the vehicle's remaining battery power, real-time road traffic conditions, and charging pile usage status, uses a multi-objective optimization strategy to match the target charging pile and plans the optimal route to the charging pile for the user. Simultaneously, the cloud server module generates AR navigation data corresponding to this route, including virtual directional signs along the way (such as arrows, directional signs, etc.), virtual models and location markings of the charging piles, and integrates real-time data such as the charging pile status, time-of-use electricity price, and parking space size, and sends this data to the user terminal module.

[0025] After receiving AR navigation data, the user terminal module uses its camera to capture the real-world scene. It then merges the AR navigation data with the real-world scene, displaying virtual AR navigation guides on the screen in real time. If the user terminal is a vehicle-mounted unit, the navigation guides are overlaid onto the dashcam or front-facing camera feed. During navigation, the user terminal module continuously feeds back the user's location information to the cloud server module. The cloud server module dynamically adjusts the AR navigation data based on the user's actual location and route deviations to ensure the user accurately reaches the charging station.

[0026] Specifically, users can activate the AR navigation guidance function within the charging station operation app as needed. The app uses the camera on the user's terminal module to capture real-world images and guides the user to point the camera in the direction of travel. The cloud server module, based on the user's location and the target charging station's location, combines a high-precision map (which may further include indoor maps) to generate AR navigation guide lines and turning indicators, which are overlaid on the camera's real-world view. This makes it easier for users to quickly find the target charging station in old, narrow streets or complex underground parking lots.

[0027] (3) Multimodal contactless payment method.

[0028] The multimodal contactless payment process is shown in Figure 3. When a user uses the system for the first time, they complete the payment method binding settings on the charging pile operation APP on the user terminal module. They can choose biometric payment methods (such as fingerprint, facial information, iris information, etc.) or bind vehicle information and payment accounts (such as associating the vehicle's license plate number with payment accounts such as Alipay and WeChat). When the user arrives at the charging pile and starts charging, the payment recognition unit of the charging pile terminal module obtains the user's payment method information and activates the corresponding recognition hardware through interaction with the user terminal module: if it is a biometric payment method, it uses devices such as cameras and fingerprint sensors to collect the user's biometric information and compares it with the biometric data pre-stored in the user terminal or cloud server for verification; if it is a vehicle-based payment method, the payment recognition unit obtains the vehicle's license plate number through license plate recognition technology and matches it with the vehicle payment account information stored in the cloud server.

[0029] After charging is complete, the charging pile terminal module sends the charging metering data to the cloud server. The cloud server calculates the fee according to the pre-designed fee rules and automatically deducts the payment from the associated payment account. At the same time, the bill is pushed to the user's terminal APP. If the user does not choose contactless payment, the APP will push the bill after charging is complete. The user can complete the manual payment by verifying the password (fingerprint or password) or being redirected to a third-party payment APP.

[0030] (4) Implementation of multi-objective optimization of charging pile matching rules.

[0031] The setting rules for charging pile matching include basic logic and multi-objective optimization strategies, and are implemented as follows: Basic matching logic: Filter available charging piles within the set range and determine candidate charging piles according to "distance priority" or "unit price priority".

[0032] Multi-objective optimization strategy: For candidate charging piles, at least two of the following are selected as optimization objectives: charging economy (charging unit price, estimated energy consumption cost to reach), time efficiency (estimated travel time), charging pile status reliability (historical failure rate, real-time status), and charging pile occupancy prediction probability. A comprehensive recommendation index is obtained through weighted calculation, and the charging pile with the highest index is selected as the target charging pile.

[0033] Weighting coefficient configuration: The weight can be uniformly adjusted by the system operator according to the operation strategy, or dynamically adjusted based on the user's historical selection preferences and the priority specified in this charging request (e.g., if the user specifies "economic priority", the charging unit price weight will be increased).

[0034] The probability of charging pile occupancy is determined by combining the historical usage frequency and time distribution model of charging piles, the charging demand trend of the area during holidays / major events, real-time traffic data, and information on surrounding commercial promotion activities.

[0035] (5) Intelligent operation and management methods based on big data analysis.

[0036] The cloud server module performs big data analysis on collected user charging data, payment data, and charging pile usage data. By analyzing data such as user charging time, charging location, and charging volume, it understands users' charging habits, predicts charging demand in different areas and at different times, and provides a basis for decision-making regarding the layout planning and expansion of charging piles. Based on user payment preferences, it optimizes the promotion and configuration of payment methods, improving user payment convenience and satisfaction. Simultaneously, it analyzes data such as charging pile usage frequency and malfunction occurrences to promptly identify problems with charging piles, arrange maintenance personnel for upkeep, and improve the normal operation rate of charging piles. Furthermore, based on data analysis results, it can provide users with personalized services, such as pushing charging promotions and recommending suitable charging times and locations, enhancing user loyalty and user experience.

[0037] Implementation method of charging pile operation: The charging pile operation method of the present invention is executed by the operator's server (in this embodiment, a cloud server) as the core. The interaction process is shown in Figure 1 and includes the following steps: 1) After receiving the charging demand (charging order) and the user's current location (the user's location reflected by the user terminal's location) from the user terminal (e.g., a mobile phone with a charging pile operation APP installed), the system matches the user with a target charging pile according to the set rules based on the occupancy status of the corresponding charging piles uploaded by the charging pile terminal modules built into the charging piles within a set range around the user's current location.

[0038] As a specific implementation, the set rules can be: finding the nearest available charging pile as the target charging pile; finding the available charging pile with the lowest unit price (electricity price per kilowatt-hour + service fee) as the target charging pile; or a combination of the two. Alternatively, a multi-objective optimization strategy can be adopted, selecting at least two of the following as optimization objectives for candidate charging piles: charging economy (charging unit price + estimated energy consumption cost to reach the charging pile), time efficiency (estimated travel time to reach the charging pile), charging pile status reliability (historical failure rate, real-time operating status), and charging pile occupancy prediction probability (based on analysis of historical usage frequency and time distribution of charging piles, demand trends during holidays / large-scale events in the area, real-time traffic data, etc.). A comprehensive recommendation index is obtained through weighted calculation, and the charging pile with the highest index is selected as the target charging pile.

[0039] 2) Referring to Figure 2, the system proactively or upon user request retrieves a high-precision map of the user's location (including indoor maps). Based on the user's and the target charging station's positions on the high-precision map, it generates AR navigation data from the user's current location to the target charging station's location, which is then sent to the user's terminal. The user terminal then overlays the guide lines, turn indicators, etc., from the AR navigation data onto the real-world image captured by the user's camera, creating AR navigation guidance for the user to refer to and follow in finding the target charging station.

[0040] Simultaneously, it receives location information from the user terminal in real time, adjusts the AR navigation data based on the feedback location information, and then sends it back to the user terminal until the user returns the location information and arrives at the target charging station.

[0041] After receiving AR navigation data, or upon user request (selecting AR navigation guidance function), the user terminal calls the camera to capture real-world images and guides the user to point the camera at the scene in front through text and other means. Then, the algorithm uses the received AR navigation data to generate guide lines, turning symbols, etc., which are superimposed on the real-world images in real time to form AR navigation guidance. The display content of AR navigation guidance is continuously updated according to the latest AR navigation data.

[0042] If the user terminal module is an in-vehicle host, the in-vehicle host will turn on the vehicle's dashcam or front-facing camera screen, and overlay guide lines and turn indicators based on the navigation data to form AR navigation guidance, which will be updated in real time.

[0043] 3) After matching the target charging pile, the user's charging order is sent to the charging pile terminal module. The charging pile terminal module changes its status (from idle to waiting for user). After the user arrives at the charging pile parking space (arrival can be determined by operating the charging pile, such as connecting the charging gun to the vehicle's charging port; or by other sensing modules on the charging pile and parking space), the charging pile terminal module uploads the user's arrival information to the cloud server. The cloud server controls the charging pile terminal module to activate the corresponding recognition hardware according to the payment method selected by the user in the charging order (which can be selected when the user registers or when the user creates the charging order for this charging need). For example, for biometric payment, the camera, iris module, or fingerprint module will be turned on; for vehicle-binding payment, the camera will be turned on to recognize the license plate. After completing the collection of user biometric information or license plate image, it communicates with the cloud server to first confirm whether the arriving user is the user who created the charging order (sent the charging request) (i.e., user identification), that is, whether it is consistent with the biometric information or license plate number of the user who created the charging order stored in the cloud server, or whether the license plate information matches the license plate information submitted in the charging order (charging request).

[0044] Once the match is found, the system will match the user's biometric information or vehicle information (license plate number) to obtain the corresponding user's payment account, and then wait for payment to be completed before billing and deduction. See Figure 3 for the specific payment process.

[0045] As one specific implementation, the user identification process, which identifies the license plate number based on the license plate image, can be performed in the charging pile terminal module. That is, after identifying the license plate number, it is uploaded, thus reducing the amount of communication data. Alternatively, it can be executed on a cloud server, where the license plate image is uploaded and the cloud server identifies the license plate number. This reduces the hardware requirements and cost of the charging pile. If the user identification process is performed at the charging pile, for example, by identifying the license plate number in the charging pile terminal module and comparing it with the license plate number in the received user order, the final result will be uploaded to the cloud server.

[0046] In another implementation, after a user arrives at the target charging station parking space, the charging station terminal module senses the vehicle's arrival, activates the camera to collect license plate information, and compares the license plate information with the charging orders or charging demands currently received by the cloud server. If they match, the corresponding biometric identification hardware is activated based on the user's selected payment method (if the payment is linked to the vehicle, there is no need to repeatedly collect the license plate image) for subsequent identification and matching to obtain the corresponding user's payment account.

[0047] If the user uses a traditional payment method, the user's identity (that they are the user of the current charging order) needs to be confirmed by means such as license plate recognition or scanning the QR code on the charging pile by the charging pile operator's APP. Then the charging pile operator's APP ensures the user's ability to pay (there is a deposit or pre-charge fee, or the charging pile operator's APP can deduct the fee from the linked payment account), and the billing and deduction are made after the charging is completed.

[0048] 4) After user identity verification (confirming the user is the current charging order user) and obtaining the corresponding user's payment account, a control command is sent to the charging pile terminal module, which then initiates charging. Other conditions for initiating charging include a charging gun insertion confirmation signal as required by national standards, which will not be elaborated here. If the user has a credit limit or has pre-deposited a deposit or fees, charging can be initiated immediately upon user identity verification. The payment account is obtained and confirmed during the charging process.

[0049] 5) After charging is complete, the system receives charging metering data from the charging pile terminal module, calculates the charging fee according to preset billing rules, and automatically deducts the fee from the user's linked payment account. Simultaneously, a charging bill, including the charging fee and other charging information, is pushed to the user's charging pile operation app for viewing. Users can leave immediately after charging, achieving seamless payment.

[0050] If the user uses the traditional payment method, they can complete the payment through the APP after receiving the charging fee bill upon completion of charging.

[0051] The technical solution of the present invention has the following beneficial effects: 1) Dual optimization of charging station location and payment experience: AR navigation technology breaks through the limitations of traditional two-dimensional navigation. By superimposing real-scene guide lines and turn indicators, it adapts to complex underground parking lots, old streets and other scenarios, helping users to quickly and accurately locate charging stations and greatly shorten the time for finding charging stations; Multimodal contactless payment (biometric payment, vehicle binding payment) realizes automatic deduction after charging is completed, without the need for manual scanning or card swiping, which completely simplifies the payment process, avoids queuing and congestion during peak charging periods, and significantly improves the convenience and experience of charging for users.

[0052] 2) Improved operational efficiency and resource utilization: Through big data analysis, charging demand in different regions and time periods is accurately predicted. Combined with multi-objective optimization strategies (integrating dimensions such as economy, time efficiency, and equipment reliability), charging pile resources are accurately matched. Dynamic diversion logic is used to reduce regional supply and demand imbalances. At the same time, equipment operation data monitoring is used to detect and repair faults in a timely manner, improve the normal operation rate of charging piles, reduce user waiting time, and balance the turnover efficiency and overall utilization rate of charging piles.

[0053] 3) Personalized service and precise operation in one: Based on in-depth analysis of user charging habits, payment preferences, historical choices and other data, we provide users with personalized services such as customized charging recommendations and promotional activities to meet diverse needs; at the same time, we provide operators with precise decision support such as charging pile layout planning and operation strategy adjustment to help refine management and enhance the company's market competitiveness.

Claims

1. A method for operating a charging pile, characterized in that, The steps include: 1) After receiving the charging request and the user's current location from the user terminal, match the target charging pile for the user according to the occupancy status of the corresponding charging piles within a set range around the user's current location and according to the set rules. 2) Retrieve a map of the user's location, and based on the user's and the target charging station's positions on the map, generate AR navigation data from the user's current location to the target charging station's location and send it to the user's terminal. Simultaneously, continuously update the AR navigation data according to changes in the user's location and send it to the user's terminal. The AR navigation data is used to generate guide lines and / or turning indicators superimposed on the forward-facing real-world view captured by the user's terminal camera. 3) After confirming that the user's identity upon arriving at the target charging station matches the user's identity as the user who sent the charging request, complete the payment binding according to the user's preset multimodal contactless payment method, and control the target charging station to start charging. After charging is completed, automatically deduct the payment based on the payment binding.

2. The charging pile operation method according to claim 1, characterized in that, In step 3), the user identity of the user who arrives at the target charging station is confirmed to be consistent with the user identity of the user who sends the charging request by the following method: the license plate information of the vehicle in the corresponding charging space is collected by the target charging station and compared with the license plate information of the user who sends the charging request. If they are consistent, the user identity is considered to be consistent.

3. The charging pile operation method according to claim 1, characterized in that, Step 3) confirms that the user's identity upon arriving at the target charging station matches the user's identity as the user who sent the charging request using the following methods: After the user arrives at the parking space where the target charging station is located, the user's chosen payment method is also confirmed; if it is biometric payment, the corresponding biometric data collection hardware is activated, and the collected data is compared with the user's pre-stored biometric data. If they match, the user's identity is confirmed, and the corresponding user's payment account is linked; if it is vehicle-linked payment, the camera is activated to collect the vehicle license plate information, and it is compared with the user's pre-stored license plate information. If they match, the user's identity is confirmed, and the corresponding user's payment account is linked. The payment account is used to automatically deduct the payment after the user has finished charging.

4. The charging pile operation method according to claim 1, characterized in that, The setting rules include: filtering available charging piles within a set range around the user's current location, and determining candidate charging piles with the single objective of being the closest or having the lowest unit price; or, for the available charging piles, calculating a comprehensive recommendation index by weighting the attribute information corresponding to at least two of the optimization objectives among charging economy, time efficiency, charging pile status reliability, and charging pile occupancy prediction probability, and selecting the available charging pile with the highest comprehensive recommendation index as the target charging pile.

5. The charging pile operation method according to claim 4, characterized in that, The attribute information corresponding to the charging economy includes the charging unit price and the estimated energy consumption cost of going to the charging station; the attribute information corresponding to the time efficiency includes the estimated travel time to the charging station; the attribute information corresponding to the charging station status reliability includes the historical failure rate of the charging station or the real-time status of the charging station; the attribute information corresponding to the charging station occupancy prediction probability includes the probability that the charging station will be occupied in a specific period of the future, based on historical data and real-time event prediction.

6. The charging pile operation method according to claim 5, characterized in that, The probability that the charging pile will be occupied during a specific period in the future is predicted by analyzing one or more of the following data: the historical usage frequency and time period distribution model of the charging pile; the charging demand trend in the area where the charging pile is located during specific dates, holidays or large-scale events; and real-time traffic data reflecting the traffic flow in the area or information on surrounding commercial promotion activities.

7. The charging pile operation method according to claim 4 or 5, characterized in that, The weighting coefficients for the weighted calculation can be configured and adjusted by the system operator according to the operation strategy, or dynamically adjusted based on the user's historical selection preferences and the priority specified in this charging request.

8. A charging pile operation system, characterized in that, The device includes a processor and a storage medium storing a computer program, wherein the processor executes the computer program to implement the steps of the charging pile operation method according to any one of claims 1-7.

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