A subsidy management method based on Internet of Vehicles platform

Abstract

The present invention discloses a subsidy management method based on an Internet of Vehicles platform. The Internet of Vehicles platform includes a data layer, a support layer, an application layer and a client. The subsidy management method based on the Internet of Vehicles platform includes the following steps: Step 1, the data layer obtains data through an interconnection system, and sends the processed data to the support layer; the data layer includes a static archive module and an implementation status module; Step 2, the support layer receives data from the data layer, analyzes the data, and provides the analyzed data to the application layer; Step 3, a subsidy management system for the Internet of Vehicles platform is provided in the application layer; Step 4, the client includes a management client, a leadership client, and an operator client. The subsidy management method based on the Internet of Vehicles platform is easy to use.

Description

Technical Field

[0001] The present invention belongs to the technical field of Internet of Vehicles, and in particular relates to a subsidy management method based on an Internet of Vehicles platform. Background Art

[0002] The subsidy management of the existing Internet of Vehicles platform has problems such as online review and post-subsidy operation monitoring. It is necessary to develop a new management method to solve the existing problems. Summary of the invention

[0003] The purpose of the present invention is to provide a subsidy management method based on a vehicle networking platform to solve the problem that the subsidy management of the vehicle networking platform cannot be operated and monitored during the subsidy process.

[0004] To achieve the above object, the present invention provides the following technical solution: a subsidy management method based on an Internet of Vehicles platform, the Internet of Vehicles platform includes a data layer, a support layer, an application layer and a client, and the subsidy management method based on the Internet of Vehicles platform includes the following steps:

[0005] Step 1: The data layer obtains data through the interconnection system, and sends the processed data to the support layer; the data layer includes a static file module and an implementation status module;

[0006] Step 2: The support layer receives data from the data layer, analyzes the data, and provides the analyzed data to the application layer; the support layer includes a statistical analysis module, a user authority module, a BI model module, a file management module, a subsidy management module, and a real-time monitoring module;

[0007] Step 3: A vehicle networking platform subsidy management system is provided in the application layer;

[0008] Step 4: The client includes a management client, a leadership client, and an operator client. The management client, the leadership client, and the operator client can all use APP to classify and store basic data, image data, thematic data, and subject data, upload data through cloud computing, and form a service-oriented architecture.

[0009] Preferably, the Internet of Vehicles platform subsidy management system includes a charging fee monitoring module, a charging setting relocation monitoring module and a data quality monitoring module.

[0010] Preferably, the charging fee monitoring module is used to monitor the charging orders of charging operators within the jurisdiction in real time, obtain the electricity fee and service fee related data of each charging order by screening, and give timely warnings to orders that do not meet the price limit.

[0011] Preferably, the charging facility relocation monitoring module is used to monitor the charging facility coding, location, and GIS geographic information, grasp the location and operation status of all charging facilities, issue early warnings when the same charging infrastructure appears at different addresses, and prompt relevant persons in charge to conduct on-site inspections in a timely manner through work order management.

[0012] Preferably, the data quality monitoring module is used to monitor the actual situation of the charging facilities, formulate practical data validity management rules, improve the quality of data through consistency conversion, outlier correction, and invalid value replacement, and monitor the problems of data duplication, data missing, and data reduction in the data uploaded by operators in real time through comparison and threshold setting. Invalid data is eliminated during data analysis, and operators are urged to continuously improve data quality; consistency conversion: verify the model by comparing the similarity between the simulation model and the actual system or hypothetical system behavior characteristics to ensure data conversion consistency; outlier correction: when the data is abnormal, it is corrected by deletion, estimation, transformation and merging; invalid value replacement: when the system detects an invalid value, it replaces the invalid value through a regular expression method.

[0013] Preferably, the Internet of Vehicles platform subsidy management system also includes the ability to display real-time data on subsidy amounts, subsidy announcements, subsidy review status, and charging pile charging times.

[0014] Preferably, the data collected by the interconnection system include device model, type, charging power, GIS information, and device operating parameters. The device operating parameters include the operator to which the device belongs, charging fee standards, and charging time.

[0015] Preferably, the method for collecting data by the interconnection system is that the timer periodically wakes up the collection module, the collection module performs sampling, and compares the sampled data with the last monitoring data, calculates the change rate, and compares the calculated change rate with the sensitive threshold set by the system. If the change rate exceeds the threshold set by the system, the data for that day is uploaded to the server; if the change rate does not exceed the threshold set by the system, the current data is saved to the current window, and the interconnection system pre-processes the collected data.

[0016] Preferably, the preprocessing method performs data filtering, data screening, data verification, data conversion and data cleaning on the collected charging facility basic data, order data and change data content to ensure the metadata quality of the system's available functions.

[0017] Preferably, the statistical analysis module: performs trend analysis on charging volume and electricity charges in a set area by time, region, and operator, down to hourly granularity;

[0018] The user authority module is used to manage the operating users of the software;

[0019] The BI model module: by establishing a BI model, a conventional comparative analysis of the user charging payment process is performed;

[0020] The file management module is used to manage the information of subsidy users;

[0021] The subsidy management module: implements the sorting and formulation of the subsidy application process, completes the configuration of the subsidy management process in the system, and implements the maintenance and announcement of the subsidized charging facility information;

[0022] The real-time monitoring module is used to monitor the charging facilities for which subsidies have been applied.

[0023] The technical effects and advantages of the present invention are as follows: The subsidy management method based on the Internet of Vehicles platform is easy to use. Combined with the requirements for the management of subsidy funds for the construction and operation of charging facilities, users can realize functions such as subsidy standard query, subsidy calculation, and application submission. Managers can realize functions such as standard compliance statistics, subsidy calculation, online review, and post-subsidy operation monitoring, thereby realizing the informatization and automation of the entire subsidy management process and improving the standardization, scientificity, and efficiency of management. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 Schematic diagram of the system architecture of the present invention. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The present invention provides Figure 1 A subsidy management method based on an Internet of Vehicles platform is shown in , the Internet of Vehicles platform includes a data layer, a support layer, an application layer and a client, and the subsidy management method based on the Internet of Vehicles platform includes the following steps:

[0027] Step 1: The data layer obtains data through the interconnection system and sends the processed data to the support layer; the data layer includes a static archive module for managing basic data and an implementation status module for checking the implementation status;

[0028] Step 2: The support layer receives data from the data layer, analyzes the data, and provides the analyzed data to the application layer; the support layer includes a statistical analysis module, a user authority module, a BI model module, a file management module, a subsidy management module, and a real-time monitoring module; the statistical analysis module: divides the dimensions of time, region, and operator, and is refined to hourly granularity to perform trend analysis on the charging amount and electricity fee in the set area;

[0029] Statistical analysis module: It analyzes the charging volume and electricity cost trends in the set area by time, region, and operator, and also by hourly granularity;

[0030] User authority module: manage the users who use the software, including adding and removing users, allocating authority, etc.

[0031] BI model module: By establishing a BI model, a conventional comparative analysis of the user charging payment process is conducted;

[0032] File management module: manages the information of subsidy users and supports operations such as query, add, modify and delete;

[0033] Subsidy management module: implement and formulate subsidy application procedures, complete the configuration of subsidy management procedures in the system, and implement functions such as maintenance and announcement of subsidized charging facility information;

[0034] Real-time monitoring module: used to monitor charging facilities that have applied for subsidies;

[0035] Step 3: The application layer is provided with a vehicle networking platform subsidy management system; the vehicle networking platform subsidy management system includes a charging fee monitoring module, a charging setting relocation monitoring module and a data quality monitoring module. The charging fee monitoring is used to monitor the charging orders of charging operators within the jurisdiction in real time according to the relevant regulations of various cities on the management of charging infrastructure. By screening and obtaining relevant data such as electricity charges and service fees for each charging order, timely warnings are given to orders that do not meet the price limit to ensure the effectiveness of relevant policies at the implementation level; the charging facility relocation monitoring is used to monitor the location and operation of all charging facilities through the monitoring of key information such as charging facility codes, locations, and GIS geographic information, and to give warnings for the same charging infrastructure appearing at different addresses, and to prompt relevant persons in charge to conduct on-site inspections in a timely manner through work order management, effectively reducing various problems and risks caused by the relocation of charging facilities; the data quality monitoring is used to formulate practical data validity governance rules based on the actual situation of charging facilities, improve the quality of data through consistency conversion, outlier correction, invalid value replacement, etc., and ensure the accuracy of subsequent data statistical analysis. For data duplication, data missing, data reduction and other problems existing in the data uploaded by the operator, real-time monitoring is carried out through comparison, threshold setting and other methods, invalid data is eliminated during data analysis, and the operator is urged to continuously improve the data quality to ensure the authenticity, accuracy and completeness of the data; In this embodiment, the Internet of Vehicles platform subsidy management system also includes real-time data such as subsidy amount, subsidy publicity, subsidy review status and charging times of charging piles for display; In this embodiment, the Internet of Vehicles platform subsidy management system also includes subsidy reports, and the statistical function of charging facility subsidies is to display the relevant situation in the form of charts according to the number of charging facilities and subsidy amounts approved by cities / districts (according to local policies) and operators; Subsidy application is used for operators to view the details of the declared list and check the charging facilities for which subsidies are declared, and submit relevant qualification documents;

[0036] Subsidy review: The supervision account reviews the charging facilities and related qualifications for which subsidies are to be applied, and provides functions such as approval and application return;

[0037] Subsidy supervision is used to monitor charging facilities that have applied for subsidies, monitor the dynamic data of charging piles (charging amount, number of charging times), and prompt alarm information of low-utilization charging facilities; subsidy publicity is used to publicize subsidies that have been issued.

[0038] Step 4: The client includes a management client, a leadership client, and an operator client. The management client, the leadership client, and the operator client can all use APP to classify and store basic data, image data, thematic data, and subject data, upload data through cloud computing, and form a service-oriented architecture.

[0039] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A subsidy management method based on a vehicle networking platform, the vehicle networking platform comprising a data layer, a support layer, an application layer and a client, the subsidy management method based on the vehicle networking platform is characterized by: The following steps are involved: Step 1: The data layer obtains data through the interconnection system, and sends the processed data to the support layer; the data layer includes a static archive module and an implementation status module; The data collected by the interconnection system includes device model, type, charging power, GIS information and device operation parameters, and the device operation parameters include the operator to which the device belongs, charging fee standards and charging time; The method for collecting data in the interconnection system is that the timer wakes up the collection module regularly, the collection module performs sampling, and compares the sampled data with the last monitoring data, calculates the change rate, and compares the calculated change rate with the sensitive threshold set by the system. If the change rate exceeds the threshold set by the system, the data of the day is uploaded to the server; if the change rate does not exceed the threshold set by the system, the current data is saved in the current window, and the interconnection system pre-processes the collected data; Step 2: The support layer receives data from the data layer, compares and analyzes the data, and provides the analyzed data to the application layer; the support layer includes a statistical analysis module, a user authority module, a BI model module, a file management module, a subsidy management module and a real-time monitoring module; The statistical analysis module: performs trend analysis on charging volume and electricity charges in a set area at hourly granularity by time, region and operator; The user authority module is used to manage the operating users of the software; The BI model module: by establishing a BI model, a conventional comparative analysis of the user charging payment process is performed; The file management module is used to manage the information of subsidy users; The subsidy management module: implements the sorting and formulation of the subsidy application process, completes the configuration of the subsidy management process in the system, and implements the maintenance and announcement of the subsidized charging facility information; The real-time monitoring module is used to monitor the charging facilities for which subsidies have been applied; Step 3: A vehicle networking platform subsidy management system is provided in the application layer; The Internet of Vehicles platform subsidy management system includes a charging fee monitoring module, a charging setting relocation monitoring module and a data quality monitoring module; The charging fee monitoring module is used to monitor the charging orders of charging operators in the jurisdiction in real time, obtain the electricity fee and service fee data of each charging order by screening, and give timely warnings to orders that do not meet the price limit; The charging facility relocation monitoring module is used to monitor the charging facility code, location and GIS geographic information, grasp the location and operation status of all charging facilities, issue an early warning when the same charging infrastructure appears at different addresses, and prompt the relevant person in charge to conduct on-site inspections in a timely manner through work order management; The data quality monitoring module is used to monitor the actual situation of charging facilities, formulate practical data validity management rules, improve data quality through consistency conversion, outlier correction and invalid value replacement, and monitor the data duplication, data missing and data reduction problems in the data uploaded by operators in real time through comparison and threshold setting, eliminate invalid data during data analysis, and urge operators to continuously improve data quality; The Internet of Vehicles platform subsidy management system also includes displaying real-time data on subsidy amount, subsidy publicity, subsidy review status, and charging times of charging piles; Step 4: The client includes an administrator client, a leadership client and an operator client. The administrator client, the leadership client and the operator client can use APP to classify and store basic data, image data, thematic data and subject data, upload data through cloud computing, and form a service-oriented architecture.

2. The subsidy management method based on the Internet of Vehicles platform according to claim 1 is characterized by: The preprocessing method performs data filtering, data screening, data verification, data conversion and data cleaning on the collected charging facility basic data, order data and change data content to ensure the metadata quality of the system's available functions.

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