A charging pile fault warning system

Abstract

The invention relates to the technical field of electric vehicle charging facilities, and discloses a charging pile fault warning system, comprising a dynamic monitoring module, a data acquisition module, a data calculation module, a simulation warning module, and a management control module. The dynamic monitoring module acquires data by using a multifunctional camera device, the data acquisition module is responsible for collecting data, the data calculation module uses the collected data in a calculation formula to predict the fault of the charging pile and calculate the charging pile working error Sh, the charging car fault unit calculates the charging car fault index Vh according to the charging pile data and the charging car data, the charging environment fault unit calculates the charging environment influence fault index Rh according to the charging environment data, the simulation warning module simulates a virtual fault scenario according to the calculation result, the fault simulation unit determines the real charging pile fault according to the simulation information of the fault simulation unit, and the management control module issues instructions according to the warning information of the simulation warning module.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicle charging facilities, and in particular to a charging pile fault early warning system. Background Art

[0002] With the popularization of electric vehicles and the rapid development of charging infrastructure, charging piles, as key equipment for electric vehicle energy replenishment, are crucial to the stable operation and safety of the entire charging network. However, the existing technology still has significant deficiencies in the early warning of charging pile failures, especially the accuracy and reliability of data prediction models need to be improved. The current data prediction model may not be able to accurately predict the operating status and potential failures of the charging pile, which may result in the system being unable to issue early warning signals in a timely manner, thereby failing to effectively prevent the occurrence of failures. This limitation not only increases maintenance costs, but may also affect the user's charging experience and even threaten charging safety. Therefore, developing a more accurate and reliable data prediction model to achieve early identification and early warning of charging pile failures has become a technical problem that needs to be solved urgently in the industry. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides a charging pile fault warning system, which has the advantages of early fault identification and warning capabilities, and solves the problem that the prior art still has deficiencies in charging pile fault warning.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A charging pile fault warning system, comprising a dynamic monitoring module, a data acquisition module, a data calculation module, a simulation warning module and a management control module;

[0006] The dynamic monitoring module acquires data by using a multifunctional camera device, including charging pile status, charging vehicle records, and charging environment data;

[0007] The data acquisition module includes a charging pile data unit, a charging vehicle data unit and a charging environment data unit. The charging pile data unit collects charging pile data through sensor equipment, a cloud platform and a data interface. The charging vehicle data unit collects charging vehicle data through vehicle-mounted sensors and a battery management system. The charging environment data unit obtains charging environment data through a meteorological data interface, power grid data access and video monitoring equipment. After the charging pile data unit, the charging vehicle data unit and the charging environment data unit collect statistics on the collected data, they are connected to the data calculation module through the network;

[0008] The data calculation module uses the collected data in a calculation formula to predict the fault of the charging pile. The data calculation module includes a charging pile fault unit, a charging car fault unit and a charging environment fault unit. The charging pile fault unit calculates the charging pile working error Sh according to the charging pile data, the charging car fault unit calculates the charging car fault index Vh according to the charging pile data and the charging car data, and the charging environment fault unit calculates the charging environment impact fault index Rh according to the charging environment data. The charging pile fault unit, the charging car fault unit and the charging environment fault unit are connected to the simulation warning module through a network;

[0009] The simulation warning module includes a fault simulation unit and a fault alarm unit. The fault simulation unit simulates a virtual fault scenario according to the charging pile working error Sh, the charging vehicle fault index Vh and the charging environment impact fault index Rh. The fault simulation unit determines the real charging pile fault according to the simulation information of the fault simulation unit. The simulation warning module and the management control module are connected through a network;

[0010] The management control module issues instructions according to the warning information of the simulation warning module.

[0011] Preferably, the charging pile data includes the service life of the charging pile, the cumulative charging current extracted from the metering encrypted data, the cumulative charging voltage extracted from the metering encrypted data, and the maintenance frequency of the charging pile when the metering plaintext data is used, and data recording and data numbering are performed. The service life of the charging pile, the cumulative charging current extracted from the metering encrypted data, the cumulative charging voltage extracted from the metering encrypted data, and the cumulative charging power extracted from the metering plaintext data are numbered as A 1. W 1. T 1. X .

[0012] Preferably, the charging vehicle data includes the accumulated charging time of the charging vehicle, the frequency of the charging vehicle using the charging pile, the failure frequency of the charging pile when the charging vehicle is charging, and the maintenance frequency of the charging pile when the charging vehicle is charging, and the data is recorded and numbered. The accumulated charging time of the charging vehicle, the frequency of the charging vehicle using the charging pile, the failure frequency of the charging pile when the charging vehicle is charging, and the maintenance frequency of the charging pile when the charging vehicle is charging are numbered as L i , C i , Y i , X i .

[0013] Preferably, the charging environment data includes temperature, humidity and rainfall data near the charging pile on the same day, and the data is recorded and numbered. The temperature, humidity and rainfall data near the charging pile on the same day are numbered as T 2. W 2. j .

[0014] Preferably, the charging pile fault unit calculates the charging pile working error Sh according to the charging pile data, and the calculation formula is:

[0015] ;

[0016] In the formula, W 1. T 1. X They respectively represent the cumulative charging current extracted from the metering encrypted data, the cumulative charging voltage extracted from the metering encrypted data, and the cumulative charging power extracted from the metering plaintext data.

[0017] Preferably, the charging vehicle fault unit calculates the charging vehicle fault index Vh according to the charging pile data and the charging vehicle data, and the calculation formula is:

[0018] ;

[0019] In the formula, C i , Y i , X i They represent the frequency of charging piles used by charging vehicles, the failure frequency of charging piles when charging vehicles are charging, and the maintenance frequency of charging piles when charging vehicles are charging. A 1 indicates the service life of the charging pile. L i Indicates the cumulative charging time of the charging vehicle.

[0020] Preferably, the charging environment fault unit calculates the charging environment impact fault index Rh according to the charging environment data, and the calculation formula is:

[0021] ;

[0022] In the formula, T 2. W 2. j Respectively represent the temperature, humidity and rainfall data of the day near the charging pile. b 1. b 2. b 3 respectively represent the corresponding weighted coefficients of the impact of the temperature, humidity and rainfall on the charging pile nearby when the charging car is charging.

[0023] Preferably, the fault simulation unit determines the actual charging pile fault based on the simulation information of the fault simulation unit, and the process is: the fault simulation unit transmits the simulation information to the fault alarm unit through the network, and when the fault alarm unit receives the information, it predicts the fault impact of the charging pile itself, the charging car and the surrounding environment of the charging pile according to the fault scenario, and sets the preset values ​​corresponding to the charging pile working error Sh, the charging car fault index Vh and the charging environment impact fault index Rh according to the fault scenario.

[0024] Preferably, when the fault alarm unit monitors that the charging pile working error Sh and the charging car fault index Vh are both greater than the corresponding preset values, the fault alarm unit automatically disconnects the charging pile power supply, starts the protection mode, and immediately notifies the maintenance personnel to perform maintenance. When the charging pile working error Sh and the charging car fault index Vh are both less than the corresponding preset values, the work is suspended after completing a set of charging.

[0025] Preferably, when the fault alarm unit monitors that the charging environment impact fault index Rh is greater than a preset value, the fault alarm unit automatically starts the canopy mode or sunshade mode of the charging pile. When the charging environment impact fault index Rh is less than the preset value, the number of canopy self-check mode is increased on the original basis.

[0026] Compared with the prior art, the present invention provides a charging pile fault warning system, which has the following beneficial effects:

[0027] 1. The present invention calculates the working error Sh of the charging pile. When the working error Sh of the charging pile exceeds a preset value, it is predicted to be a charging pile failure. The system continuously monitors and analyzes the working error Sh value of the charging pile in real time for 24 hours, which helps to reasonably arrange the interchangeable charging resources of the charging piles and provides data support for the power grid to allocate the load of each charging pile and plan the construction of charging stations, thereby improving the charging efficiency and reducing the operating cost. Before the failure occurs, the system can send out an early warning signal so that the maintenance personnel can take timely measures to repair or replace it, thereby avoiding the occurrence or expansion of the failure. This preventive maintenance can not only reduce the maintenance cost, but also improve the overall quality of the equipment.

[0028] 2. The present invention calculates the charging car fault index Vh and compares the real-time monitoring value of the charging car fault index Vh with the preset value of the scenario simulated by the fault simulation unit. When the charging car fault index Vh exceeds the preset value, the fault alarm unit can promptly determine the safety hazard of the charging pile, thereby ensuring the safety of the charging process and preventing safety accidents caused by leakage during charging or charging pile failure. Accurate fault warning and timely maintenance response can reduce the delays encountered by users during the charging process and ultimately improve the user's charging experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0030] 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.

[0031] See also Figure 1 , a charging pile fault warning system, including a dynamic monitoring module, a data acquisition module, a data calculation module, a simulation warning module and a management control module;

[0032] The dynamic monitoring module uses a multifunctional camera to acquire data, including charging pile status, charging vehicle records, and charging environment data. The above data is used to monitor the operating status and environmental conditions of the charging pile in real time;

[0033] The data acquisition module includes a charging pile data unit, a charging vehicle data unit and a charging environment data unit. The charging pile data unit collects charging pile data through sensor equipment, cloud platform and data interface. The charging vehicle data unit collects charging vehicle data through vehicle-mounted sensors and battery management system. The charging environment data unit obtains charging environment data through meteorological data interface, power grid data access and video monitoring equipment. The charging pile data unit, charging vehicle data unit and charging environment data unit collect statistics on the collected data and connect to the data calculation module through the network. These data will provide a basis for subsequent analysis and prediction.

[0034] The data calculation module uses the collected data in a calculation formula to predict the fault of the charging pile. The data calculation module includes a charging pile fault unit, a charging car fault unit and a charging environment fault unit. The charging pile fault unit calculates the charging pile working error Sh according to the charging pile data. The charging car fault unit calculates the charging car fault index Vh according to the charging pile data and the charging car data. The charging environment fault unit calculates the charging environment impact fault index Rh according to the charging environment data. The charging pile fault unit, the charging car fault unit and the charging environment fault unit are connected to the simulation warning module through a network;

[0035] The simulation warning module includes a fault simulation unit and a fault alarm unit. The fault simulation unit simulates a virtual fault scenario according to the working error Sh of the charging pile, the fault index Vh of the charging vehicle, and the fault index Rh of the charging environment. The fault simulation unit determines the real charging pile fault according to the simulation information of the fault simulation unit. The simulation warning module and the management control module are connected through a network.

[0036] The management and control module issues instructions based on the warning information from the simulation warning module.

[0037] The charging pile data includes the service life of the charging pile, the cumulative charging current extracted from the metering encrypted data, the cumulative charging voltage extracted from the metering encrypted data, and the maintenance frequency of the charging pile when the metering plaintext data is extracted, and the data is recorded and numbered. The service life of the charging pile, the cumulative charging current extracted from the metering encrypted data, the cumulative charging voltage extracted from the metering encrypted data, and the cumulative charging power extracted from the metering plaintext data are numbered respectively. A 1. W 1. T 1. X .

[0038] The charging vehicle data includes the accumulated charging time of the charging vehicle, the frequency of the charging vehicle using the charging pile, the failure frequency of the charging pile when the charging vehicle is charging, and the maintenance frequency of the charging pile when the charging vehicle is charging, and the data is recorded and numbered. The accumulated charging time of the charging vehicle, the frequency of the charging pile using the charging pile, the failure frequency of the charging pile when the charging vehicle is charging, and the maintenance frequency of the charging pile when the charging vehicle is charging are numbered as L i , C i , Y i , X i .

[0039] The charging environment data includes the temperature, humidity and rainfall data of the day near the charging pile, and the data is recorded and numbered. The temperature, humidity and rainfall data of the day near the charging pile are numbered as follows: T 2. W 2. j .

[0040] The charging pile fault unit calculates the charging pile working error Sh according to the charging pile data, and the calculation formula is:

[0041] ;

[0042] In the formula, W 1. T 1. XThey respectively represent the cumulative charging current extracted from the metering encrypted data, the cumulative charging voltage extracted from the metering encrypted data, and the cumulative charging power extracted from the metering plaintext data.

[0043] The advantages are: by calculating the working error Sh of the charging pile, when the working error Sh of the charging pile exceeds the preset value, it is predicted to be a charging pile failure. The system's 24-hour continuous real-time monitoring and analysis of the working error Sh value of the charging pile helps to reasonably arrange the interchange of charging resources between charging piles, and provides data support for the power grid's load allocation of each charging pile and the construction planning of charging stations, thereby improving charging efficiency and reducing operating costs. In addition, before a failure occurs, the system can send out an early warning signal so that maintenance personnel can take timely measures to repair or replace it, thereby avoiding the occurrence or expansion of the failure. This preventive maintenance not only reduces maintenance costs, but also improves the overall quality of the equipment.

[0044] The charging vehicle fault unit calculates the charging vehicle fault index Vh according to the charging pile data and the charging vehicle data. The calculation formula is:

[0045] ;

[0046] In the formula, C i , Y i , X i They represent the frequency of charging piles used by charging vehicles, the failure frequency of charging piles when charging vehicles are charging, and the maintenance frequency of charging piles when charging vehicles are charging. A 1 indicates the service life of the charging pile. L i Indicates the cumulative charging time of the charging vehicle.

[0047] The advantages are: by calculating the charging car fault index Vh, and comparing the real-time monitoring value of the charging car fault index Vh with the preset value of the scenario simulated by the fault simulation unit, when the charging car fault index Vh exceeds the preset value, the fault alarm unit can promptly judge the safety hazard of the charging pile, thereby ensuring the safety of the charging process and preventing safety accidents caused by leakage during charging or charging pile failure. Among them, accurate fault warning and timely maintenance response can reduce the delays encountered by users during the charging process and ultimately improve the user's charging experience.

[0048] The charging environment fault unit calculates the charging environment impact fault index Rh based on the charging environment data. The calculation formula is:

[0049] ;

[0050] In the formula, T 2.W 2. j Respectively represent the temperature, humidity and rainfall data of the day near the charging pile. b 1. b 2. b 3 respectively represent the corresponding weighted coefficients of the impact of the temperature, humidity and rainfall on the charging pile nearby when the charging car is charging.

[0051] The advantages are: by calculating the charging environment impact fault index Rh, using high-precision sensors and advanced Internet of Things technology, the system can collect real-time temperature, humidity and rainfall data near the charging pile. After analysis, the above data can promptly reflect changes in the charging environment, and transmit the change data to the system for calculation and analysis, thereby triggering an early warning mechanism to remind managers to take corresponding measures. This real-time monitoring and early warning function helps reduce charging pile failures caused by environmental factors, helps managers to prepare in advance, and reduces the probability of failures.

[0052] The fault simulation unit determines the actual charging pile fault based on the simulation information of the fault simulation unit. The process is as follows: the fault simulation unit transmits the simulation information to the fault alarm unit through the network. When the fault alarm unit receives the information, it predicts the fault impact of the charging pile itself, the charging car and the surrounding environment of the charging pile according to the fault scenario, and sets the preset values ​​corresponding to the charging pile working error Sh, the charging car fault index Vh and the charging environment impact fault index Rh according to the fault scenario.

[0053] When the fault alarm unit detects that the charging pile working error Sh and the charging car fault index Vh are both greater than the corresponding preset values, the fault alarm unit automatically disconnects the power supply of the charging pile, starts the protection mode, and immediately notifies the maintenance personnel to perform maintenance. When the charging pile working error Sh and the charging car fault index Vh are both less than the corresponding preset values, the work will be suspended after completing a set of charging.

[0054] When the fault alarm unit detects that the charging environment impact fault index Rh is greater than the preset value, the fault alarm unit automatically starts the canopy mode or sunshade mode of the charging pile. When the charging environment impact fault index Rh is less than the preset value, the number of canopy self-check mode is increased on the original basis.

[0055] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A charging pile fault warning system, characterized in that: It includes dynamic monitoring module, data acquisition module, data calculation module, simulation warning module and management control module; The dynamic monitoring module acquires data by using a multifunctional camera device, including charging pile status, charging vehicle records, and charging environment data; The data acquisition module includes a charging pile data unit, a charging vehicle data unit and a charging environment data unit. The charging pile data unit collects charging pile data through sensor equipment, a cloud platform and a data interface. The charging vehicle data unit collects charging vehicle data through vehicle-mounted sensors and a battery management system. The charging environment data unit obtains charging environment data through a meteorological data interface, power grid data access and video monitoring equipment. After the charging pile data unit, the charging vehicle data unit and the charging environment data unit collect statistics on the collected data, they are connected to the data calculation module through the network; The data calculation module uses the collected data in a calculation formula to predict the fault of the charging pile. The data calculation module includes a charging pile fault unit, a charging car fault unit and a charging environment fault unit. The charging pile fault unit calculates the charging pile working error Sh according to the charging pile data, the charging car fault unit calculates the charging car fault index Vh according to the charging pile data and the charging car data, and the charging environment fault unit calculates the charging environment impact fault index Rh according to the charging environment data. The charging pile fault unit, the charging car fault unit and the charging environment fault unit are connected to the simulation warning module through a network; The simulation warning module includes a fault simulation unit and a fault alarm unit. The fault simulation unit simulates a virtual fault scenario according to the charging pile working error Sh, the charging vehicle fault index Vh and the charging environment impact fault index Rh. The fault simulation unit determines the real charging pile fault according to the simulation information of the fault simulation unit. The simulation warning module and the management control module are connected through a network; The management control module issues instructions according to the warning information of the simulation warning module; The charging pile data includes the service life of the charging pile, the cumulative charging current extracted from the metering encrypted data, the cumulative charging voltage extracted from the metering encrypted data, and the maintenance frequency of the charging pile when the metering plaintext data is used, and data recording and data numbering are performed. The service life of the charging pile, the cumulative charging current extracted from the metering encrypted data, the cumulative charging voltage extracted from the metering encrypted data, and the cumulative charging power extracted from the metering plaintext data are numbered respectively. A 1. W 1. T 1. X ; The charging vehicle data includes the accumulated charging time of the charging vehicle, the frequency of the charging vehicle using the charging pile, the failure frequency of the charging pile when the charging vehicle is charging, and the maintenance frequency of the charging pile when the charging vehicle is charging, and the data is recorded and numbered. The accumulated charging time of the charging vehicle, the frequency of the charging vehicle using the charging pile, the failure frequency of the charging pile when the charging vehicle is charging, and the maintenance frequency of the charging pile when the charging vehicle is charging are numbered as L i , C i , Y i , X i ; The charging environment data includes the temperature, humidity and rainfall data of the day near the charging pile, and the data is recorded and numbered. The temperature, humidity and rainfall data of the day near the charging pile are numbered as follows: T 2. W 2. j ; The charging pile fault unit calculates the charging pile working error Sh according to the charging pile data, and the calculation formula is: ； In the formula, W 1. T 1. X Respectively represent the cumulative charging current extracted from the metering encrypted data, the cumulative charging voltage extracted from the metering encrypted data, and the cumulative charging power extracted from the metering plaintext data; The charging vehicle fault unit calculates the charging vehicle fault index Vh according to the charging pile data and the charging vehicle data, and the calculation formula is: ； In the formula, C i , Y i , X i They represent the frequency of charging piles used by charging vehicles, the failure frequency of charging piles when charging vehicles are charging, and the maintenance frequency of charging piles when charging vehicles are charging. A 1 indicates the service life of the charging pile. L i Indicates the cumulative charging time of the charging vehicle; The charging environment fault unit calculates the charging environment impact fault index Rh according to the charging environment data, and the calculation formula is: ； In the formula, T 2. W 2. j Respectively represent the temperature, humidity and rainfall data of the day near the charging pile. b 1. b 2. b 3 respectively represent the corresponding weighted coefficients of the impact of the temperature, humidity and rainfall on the charging pile nearby when the charging car is charging.

2. A charging pile fault warning system according to claim 1, characterized in that: The fault simulation unit determines the actual charging pile fault according to the simulation information of the fault simulation unit, and the process is as follows: the fault simulation unit transmits the simulation information to the fault alarm unit through the network. When the fault alarm unit receives the information, it predicts the fault impact of the charging pile itself, the charging car and the surrounding environment of the charging pile according to the fault scenario, and sets the preset values ​​corresponding to the charging pile working error Sh, the charging car fault index Vh and the charging environment impact fault index Rh according to the fault scenario.

3. A charging pile fault warning system according to claim 2, characterized in that: When the fault alarm unit detects that the charging pile working error Sh and the charging car fault index Vh are both greater than the corresponding preset values, the fault alarm unit automatically disconnects the charging pile power supply, starts the protection mode, and immediately notifies the maintenance personnel to perform maintenance. When the charging pile working error Sh and the charging car fault index Vh are both less than the corresponding preset values, the work will be suspended after completing a set of charging.

4. A charging pile fault warning system according to claim 2, characterized in that: When the fault alarm unit detects that the charging environment impact fault index Rh is greater than a preset value, the fault alarm unit automatically starts the canopy mode or sunshade mode of the charging pile. When the charging environment impact fault index Rh is less than the preset value, the number of canopy self-check mode is increased on the original basis.

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