Charging data analysis system and method

Abstract

The invention relates to the technical field of charging management, and particularly discloses a charging data analysis system and method.The system comprises a data management module, an order management module, an analysis module and an employee management module; the data management module is used for inputting and modifying basic information of the site; the order management module is used for generating a charging order for each charging vehicle and calculating charging cost according to the charging information; the analysis module is used for obtaining and analyzing the charging order and generating a charging analysis result, and the charging analysis result comprises charging amount analysis, charging income analysis and charging vehicle analysis; the analysis module is further used for acquiring sensor data of the charging pile, judging whether any sensor data exceeds a corresponding threshold value or not, if yes, marking the corresponding charging order as an abnormal order, and generating a charging pause instruction; the employee management module is used for obtaining the abnormal order, screening the corresponding employees according to the abnormal order, and generating a maintenance work order. According to the technical scheme, the management efficiency of the charging station can be improved.

Description

Technical Field

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

[0002] In recent years, electric buses have been widely promoted and used. Compared with traditional buses, electric buses have obvious advantages in noise control and driving stability, and have high energy conversion efficiency, which can reduce the pollution of the environment during the use of vehicles and reduce the dependence on fossil fuels, and can improve the energy structure to a certain extent. As a result, charging stations for electric buses have also emerged.

[0003] The charging time of electric buses usually has a fixed time window. If the charging station is only open to buses, the effective utilization rate of the station will be low. Therefore, the charging station is often open to social vehicles as well. Due to the high mobility of social vehicles, management is more difficult.

[0004] Therefore, a charging data analysis system and method are needed that can improve the management efficiency of charging stations. Summary of the invention

[0005] One of the objectives of the present invention is to provide a charging data analysis system that can improve the management efficiency of charging stations.

[0006] In order to solve the above technical problems, this application provides the following technical solutions:

[0007] A charging data analysis system, comprising a data management module, an order management module, an analysis module and an employee management module;

[0008] The data management module is used to enter and modify the basic information of the site, including the site name, area, and charging pile information;

[0009] The order management module is used to generate a charging order for each charging vehicle and calculate the charging fee based on the charging information;

[0010] The analysis module is used to obtain charging orders for analysis and generate charging analysis results, which include charging volume analysis, charging revenue analysis, and charging vehicle analysis;

[0011] The analysis module is also used to obtain sensor data of the charging pile and determine whether any sensor data exceeds a corresponding threshold. If so, the corresponding charging order is marked as an abnormal order and a charging suspension instruction is generated;

[0012] The employee management module is used to obtain abnormal orders, filter the corresponding employees according to the abnormal orders, and generate maintenance work orders.

[0013] Further, the data management module includes a station management unit and a vehicle management unit;

[0014] The station management unit is used to enter and modify the basic information of the station, which also includes the station number, area, and opening hours;

[0015] The vehicle management unit is used to enter and modify basic vehicle information, which includes vehicle category and license plate number; vehicle categories include bus fleets and corporate fleets.

[0016] Further, the order management module includes a data collection unit and an order generation unit;

[0017] The data acquisition unit is used to collect vehicle identification information, vehicle and battery parameters, and charging information of the charging vehicle; vehicle identification information includes license plate number and VIN code; charging information includes occupied charging pile, charging time, and charging amount;

[0018] The order generation unit is used to generate a charging order for each charging vehicle and calculate the charging fee based on the charging information; it is also used to classify the orders according to the basic information of the vehicle, including bus charging orders, enterprise charging orders and social charging orders.

[0019] Furthermore, the bus charging order information includes the station name, order type, vehicle company, VIN, route, and license plate number.

[0020] Furthermore, the charging income analysis includes the number of orders, total electricity, original order amount of the platform, original electricity fee of the platform, original service fee of the platform, actual amount collected, actual electricity fee collected, and actual service fee collected;

[0021] The charging vehicle analysis includes the number of vehicles charged in different time periods.

[0022] Furthermore, the sensor data includes temperature data, current data, voltage data and charging power data.

[0023] Further, the employee management module includes an employee information management unit and a scheduling unit;

[0024] The employee information management unit is used to enter basic employee information, including employee name, position, and responsibilities;

[0025] The scheduling unit is used to obtain abnormal orders, screen the corresponding employees according to the abnormal orders, and generate maintenance work orders.

[0026] Furthermore, when the vehicle belongs to a bus fleet, the basic vehicle information also includes driver information; the driver information includes the driver's name and contact information;

[0027] The analysis module is also used to analyze the cumulative charging time of each driver at each station and each charging pile;

[0028] The dispatch unit is also used to screen out drivers whose total cumulative charging time of each charging pile at any station exceeds the set time, mark the corresponding driver as a reserve driver of the station, generate assistance request information, obtain contact information, and send the assistance request information to the reserve driver; determine whether the reserve driver accepts the assistance request based on the received reply information, and if accepted, mark the corresponding reserve driver as an assistant driver;

[0029] When an abnormal order occurs, the dispatch unit is also used to determine whether there is an assistant driver at the current station based on the charging order at the current station and the corresponding vehicle basic information. If there is an assistant driver, the dispatch unit sends a check message to the assistant driver.

[0030] The dispatch unit is also used to obtain feedback information uploaded by the assistant driver, and determine whether the anomaly has been eliminated based on the feedback information. If not, the corresponding employees are screened according to the abnormal order and a maintenance work order is generated.

[0031] A second object of the present invention is to provide a charging data analysis method using the above system.

[0032] This solution significantly improves the management efficiency of charging stations by integrating data management, order generation and exception handling functions. By quickly entering and updating the basic information of the station and the vehicle, the timeliness and accuracy of the information are ensured. The automatically generated charging orders are not only convenient for classification management, but also provide a reliable basis for subsequent data analysis. Through the charging data analysis function, operators can have an in-depth understanding of the charging volume, charging income and vehicle usage, so as to optimize resource allocation and operation strategies. Through the flexible scheduling function of the employee management module, maintenance work is made more efficient and the work response speed is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 The figure is a logic block diagram of a charging data analysis system. DETAILED DESCRIPTION

[0034] The following is further described in detail through specific implementation methods:

[0035] Embodiment 1

[0036] like Figure 1 As shown, a charging data analysis system of this embodiment includes a data management module, an order management module, an analysis module and an employee management module;

[0037] The data management module includes the station management unit and the vehicle management unit;

[0038] The station management unit is used to enter and modify the basic information of the station, including the station name, station number, area, opening hours, charging pile information, etc.

[0039] The vehicle management unit is used to enter and modify basic vehicle information, including vehicle category, license plate number, etc.; vehicle categories include bus fleets and corporate fleets.

[0040] The order management module includes a data collection unit and an order generation unit;

[0041] The data acquisition unit is used to collect vehicle identification information, vehicle and battery parameters, and charging information of the charging vehicle; vehicle identification information includes license plate number and VIN code; vehicle and battery parameters are used to match the charging protocol to output an adaptive current; charging information includes occupied charging pile, charging time, and charging amount;

[0042] The order generation unit is used to generate a charging order for each charging vehicle and calculate the charging fee according to the charging information; it is also used to classify the orders according to the basic information of the vehicle, including bus charging orders, enterprise charging orders and social charging orders; in this embodiment, the orders of the enterprise fleet and the vehicles corresponding to the vehicle identification information that have not been entered are classified as social charging orders. Taking the bus charging order as an example, the specific order information includes the station name, order type (bus), vehicle company (xx bus), VIN, route, license plate number, etc.

[0043] The analysis module is used to obtain charging orders for analysis and generate charging analysis results, which include charging volume analysis, charging income analysis, charging vehicle analysis, etc. In this embodiment, the charging volume analysis is displayed in the form of a line graph, with the horizontal axis being the charging date and the vertical axis being the charging volume; the bus charging volume, social vehicle charging volume and total charging volume are displayed by lines of different colors.

[0044] The charging income analysis includes the number of orders, total electricity consumption, the original order amount of the platform, the original electricity charge of the platform, the original service fee of the platform, the actual amount collected, the actual electricity charge collected, the actual service fee collected, etc.

[0045] The analysis content of charging vehicles is the number of vehicles charged in different time periods; this embodiment is displayed in the form of a bar graph, with the horizontal axis being the charging time period and the vertical axis being the number of vehicles charged; buses and social vehicles are displayed through bars of different colors; it is used to show the distribution of the number of buses and social vehicles in different time periods.

[0046] The analysis module is also used to obtain sensor data of the charging pile, which includes temperature data, current data, voltage data and charging power data; to determine whether any sensor data exceeds the corresponding threshold, for example, the temperature data exceeds the temperature threshold; if exceeded, the corresponding charging order is marked as an abnormal order and a charging suspension instruction is generated.

[0047] The employee management module includes an employee information management unit and a scheduling unit.

[0048] Employee information management unit, used to enter basic employee information, including employee name, position, responsibilities, etc.;

[0049] The dispatch unit is used to obtain abnormal orders, screen the corresponding employees according to the abnormal orders, and generate maintenance work orders. For example, if the abnormal order shows that a charging pile at site A is abnormal, the employee whose responsibility is to maintain the charging pile at site A is screened out, a maintenance work order is generated, and sent to the employee through the internal communication software.

[0050] Based on the above system, this embodiment also provides a charging data analysis method, including the following contents:

[0051] Data entry steps: Enter and modify basic site information, including site name, site number, region, opening hours, charging pile information, etc.

[0052] Enter and modify basic vehicle information, including vehicle category, license plate number, etc.; vehicle categories include bus fleets and corporate fleets.

[0053] Enter basic employee information, including employee name, position, responsibilities, etc.

[0054] Charging information collection steps: collect vehicle identification information, vehicle and battery parameters, and charging information of the charging vehicle; vehicle identification information includes license plate number and VIN code; vehicle and battery parameters are used to match the charging protocol to output the appropriate current; charging information includes occupied charging pile, charging time, and charging amount;

[0055] Obtain sensor data of the charging pile, including temperature data, current data, voltage data and charging power data;

[0056] Order generation step: Each charging vehicle generates a charging order and calculates the charging fee based on the charging information;

[0057] The orders are classified according to the basic information of the vehicle, including bus charging orders, enterprise charging orders and social charging orders. In this embodiment, the orders of enterprise fleets and vehicles without vehicle identification information are classified as social charging orders. Taking bus charging orders as an example, the specific order information includes station name, order type (bus), vehicle company (xx bus), VIN, route, license plate number, etc.

[0058] Order analysis step: obtain charging orders for analysis and generate charging analysis results, which include charging volume analysis, charging income analysis, charging vehicle analysis, etc.; in this embodiment, the charging volume analysis is displayed in the form of a line graph, with the horizontal axis being the charging date and the vertical axis being the charging volume; the bus charging volume, social vehicle charging volume and total charging volume are displayed by lines of different colors.

[0059] The charging income analysis includes the number of orders, total electricity consumption, the original order amount of the platform, the original electricity charge of the platform, the original service fee of the platform, the actual amount collected, the actual electricity charge collected, the actual service fee collected, etc.

[0060] The analysis content of charging vehicles is the number of vehicles charged in different time periods; this embodiment is displayed in the form of a bar graph, with the horizontal axis being the charging time period and the vertical axis being the number of vehicles charged; buses and social vehicles are displayed through bars of different colors; it is used to show the distribution of the number of buses and social vehicles in different time periods.

[0061] Determine whether any sensor data exceeds the corresponding threshold, for example, the temperature data exceeds the temperature threshold; if exceeded, mark the corresponding charging order as an abnormal order and generate a charging suspension instruction.

[0062] Scheduling steps: Get abnormal orders, select corresponding employees according to abnormal orders, and generate maintenance work orders. For example, if an abnormal order shows that a charging pile at site A is abnormal, select employees whose responsibilities are to maintain the charging pile at site A, generate maintenance work orders, and send them to the employees through internal communication software.

[0063] This solution significantly improves the management efficiency of charging stations by integrating data management, order generation and exception handling functions. By quickly entering and updating the basic information of the station and the vehicle, the timeliness and accuracy of the information are ensured. The automatically generated charging orders are not only convenient for classification management, but also provide a reliable basis for subsequent data analysis. Through the charging data analysis function, operators can have an in-depth understanding of the charging volume, charging income and vehicle usage, so as to optimize resource allocation and operation strategies. Through the flexible scheduling function of the employee management module, maintenance work is made more efficient and the work response speed is improved.

[0064] Embodiment 2

[0065] The difference between this embodiment and the first embodiment is that, in this embodiment, when the vehicle belongs to a bus fleet, the basic vehicle information also includes driver information; the driver information includes the driver's name and contact information;

[0066] The analysis module is also used to analyze the cumulative charging time of each driver at each station and each charging pile;

[0067] The dispatch unit is also used to screen out drivers whose total cumulative charging time of each charging pile at any station exceeds the set time, mark the corresponding driver as a reserve driver of the station, generate assistance request information, obtain contact information, and send the assistance request information to the reserve driver; determine whether the reserve driver accepts the assistance request based on the received reply information, and if accepted, mark the corresponding reserve driver as an assistant driver;

[0068] When an abnormal order occurs, the dispatch unit is also used to determine whether there is an assisting driver at the current station based on the charging order at the current station and the corresponding basic information of the vehicle. If there is an assisting driver, the checking information is sent to the assisting driver.

[0069] The dispatch unit is also used to obtain feedback information uploaded by the assistant driver, and determine whether the anomaly has been eliminated based on the feedback information. If not, the corresponding employees are screened according to the abnormal order and a maintenance work order is generated.

[0070] The current charging stations are often limited in the number of staff responsible for operation and maintenance, and they cannot be on duty at the same station all the time, resulting in slow processing speed when anomalies occur. The solution of this embodiment screens out drivers whose total cumulative charging time of each charging pile at any station exceeds the set time, and after obtaining consent, these drivers are used as assistant drivers. These bus drivers charge at a certain station for a long time and have a better understanding of the conditions of each charging pile. If there is an abnormality, the assistant driver who is charging the bus at the station sends a check message, and the assistant driver goes to the designated charging pile to check the situation and give feedback. If there is a simple problem, the assistant driver will handle it. If the assistant driver cannot handle it, a maintenance work order will be issued to the employee. After handling the problem, the system can give these assistant drivers rewards such as charging coupons to increase their enthusiasm. The solution of this embodiment can improve the efficiency of fault handling, reduce the impact of charging pile failures on operations, and also improve user experience and ensure the efficient operation of the station.

[0071] The above are only embodiments of the present invention. The invention is not limited to the fields involved in this implementation case. The common sense such as the known specific structures and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or the priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to explain the content of the claims.

Claims

1. A charging data analysis system, characterized in that: Including data management module, order management module, analysis module and employee management module; The data management module is used to enter and modify the basic information of the site, including the site name, area, and charging pile information; The order management module is used to generate a charging order for each charging vehicle and calculate the charging fee based on the charging information; The analysis module is used to obtain charging orders for analysis and generate charging analysis results, which include charging volume analysis, charging revenue analysis, and charging vehicle analysis; The analysis module is also used to obtain sensor data of the charging pile and determine whether any sensor data exceeds a corresponding threshold. If so, the corresponding charging order is marked as an abnormal order and a charging suspension instruction is generated; The employee management module is used to obtain abnormal orders, filter the corresponding employees according to the abnormal orders, and generate maintenance work orders.

2. The charging data analysis system according to claim 1, characterized in that: The data management module includes a station management unit and a vehicle management unit; The station management unit is used to enter and modify the basic information of the station, which also includes the station number, area, and opening hours; The vehicle management unit is used to enter and modify basic vehicle information, including vehicle category and license plate number; Vehicle categories include bus fleets and corporate fleets.

3. The charging data analysis system according to claim 2, characterized in that: The order management module includes a data collection unit and an order generation unit; The data acquisition unit is used to collect vehicle identification information, vehicle and battery parameters, and charging information of the charging vehicle; vehicle identification information includes license plate number and VIN code; charging information includes occupied charging pile, charging time, and charging amount; The order generation unit is used to generate a charging order for each charging vehicle and calculate the charging fee based on the charging information; it is also used to classify the orders according to the basic information of the vehicle, including bus charging orders, enterprise charging orders and social charging orders.

4. The charging data analysis system according to claim 3, characterized in that: The bus charging order information includes the station name, order type, vehicle company, VIN, route, and license plate number.

5. The charging data analysis system according to claim 4, characterized in that: The charging income analysis includes the number of orders, total electricity, original order amount of the platform, original electricity fee of the platform, original service fee of the platform, actual amount collected, actual electricity fee collected, and actual service fee collected; The charging vehicle analysis includes the number of vehicles charged in different time periods.

6. The charging data analysis system according to claim 5, characterized in that: The sensor data includes temperature data, current data, voltage data and charging power data.

7. The charging data analysis system according to claim 6, characterized in that: The employee management module includes an employee information management unit and a scheduling unit; The employee information management unit is used to enter basic employee information, including employee name, position, and responsibilities; The scheduling unit is used to obtain abnormal orders, screen the corresponding employees according to the abnormal orders, and generate maintenance work orders.

8. The charging data analysis system according to claim 7, characterized in that: When the vehicle belongs to a bus fleet, the basic vehicle information also includes driver information; the driver information includes the driver's name and contact information; The analysis module is also used to analyze the cumulative charging time of each driver at each station and each charging pile; The dispatch unit is also used to screen out drivers whose total cumulative charging time of each charging pile at any station exceeds the set time, mark the corresponding driver as a reserve driver of the station, generate assistance request information, obtain contact information, and send the assistance request information to the reserve driver; Determine whether the reserve driver accepts the assistance request according to the received response information, and if so, mark the corresponding reserve driver as an assistant driver; When an abnormal order occurs, the dispatch unit is also used to determine whether there is an assistant driver at the current station based on the charging order at the current station and the corresponding vehicle basic information. If there is an assistant driver, the dispatch unit sends a check message to the assistant driver. The dispatch unit is also used to obtain feedback information uploaded by the assistant driver, and determine whether the anomaly has been eliminated based on the feedback information. If not, the corresponding employees are screened according to the abnormal order and a maintenance work order is generated.

9. A charging data analysis method, characterized in that: Use the system according to any one of claims 1 to 8.

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