A car charging pile safety monitoring system based on big data

Abstract

The present invention discloses a car charging pile safety monitoring system based on big data, which relates to the technical field of charging pile safety monitoring, including a monitoring module and an information processing module, wherein the monitoring module includes a plurality of power monitoring units and a temperature monitoring unit; each of the power monitoring units matches a group of car charging piles respectively, and monitors the power information of the car charging piles to obtain power data; the recognition range of the temperature monitoring unit covers each car charging pile, and obtains the temperature data of the surface of each car charging pile; the information processing module is used to receive power data and temperature data, and analyze the temperature data to obtain the heat source part of each car charging pile, as well as the heating rate and diffusion rate of each heat source part. The present invention realizes comprehensive monitoring of the working state and temperature distribution of the charging pile through the power monitoring unit and the temperature monitoring unit, thereby improving the accuracy and comprehensiveness of the monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of charging pile safety monitoring, and in particular to a car charging pile safety monitoring system based on big data. Background Art

[0002] With the rapid development of the new energy vehicle industry, the safety and stability of car charging piles, as an important part of the new energy vehicle charging infrastructure, directly affect the user experience and public safety. However, there are many problems with charging piles in actual operation, especially abnormal temperature, overheating, insufficient heat dissipation performance, etc., which can easily lead to charging pile failures or even safety accidents. Therefore, safety monitoring of charging piles is one of the important directions.

[0003] After searching, a Chinese patent (publication number: CN117928741A) discloses a method for monitoring abnormal heat sources in charging piles. The patent obtains a temperature surface image formed by the fusion of infrared light and visible light at several measurement positions on the circumference of the tested charging pile, thereby improving the resolution and amplitude accuracy of the collected temperature data; and uses the Bayesian inference algorithm to solve the real value of the heat source mapped to each pixel point in the temperature surface image, screen out the maximum temperature point corresponding to each measurement position and the pixel coordinates of the maximum temperature point, and then combine the maximum temperature points of multiple measurement positions on the circumference to quickly and accurately locate the abnormal heating points of the entire tested charging pile.

[0004] In the prior art, the monitoring parameters for automobile charging piles are relatively simple, and the degree of refinement of the monitoring data is not high. In addition, since there is a certain time delay in the conduction of heat from the internal electronic components of the charging pile to the surface, it is necessary to analyze the time delay of the temperature response. Therefore, the present invention proposes a automobile charging pile safety monitoring system based on big data. Summary of the invention

[0005] The purpose of the present invention is to provide a car charging pile safety monitoring system based on big data to solve the problems mentioned in the above background technology.

[0006] The present invention can be implemented through the following technical solutions: A big data-based automobile charging pile safety monitoring system includes a monitoring module and an information processing module;

[0007] The monitoring module includes a plurality of power monitoring units and a temperature monitoring unit;

[0008] Each of the power monitoring units is matched with a group of car charging piles, and monitors the power information of the car charging piles, including the current, voltage, and power of the car charging piles, to obtain power data, which helps the information processing module to determine whether the corresponding car charging piles are working;

[0009] The temperature monitoring unit is arranged outside each vehicle charging pile, and the recognition range of the temperature monitoring unit covers each vehicle charging pile, and is used to obtain the temperature data of the surface of each vehicle charging pile;

[0010] The information processing module is used to receive power data and temperature data as real-time monitoring data, and the information processing module analyzes the temperature data to obtain the heat source location of each automobile charging pile, as well as the heating rate and diffusion rate of each heat source location;

[0011] And the information processing module matches the heat source location with the corresponding automobile charging pile to determine whether the heating of the corresponding automobile charging pile is related to the distribution of electronic components inside the corresponding automobile charging pile;

[0012] At the same time, the information processing module analyzes the heating rate and diffusion rate of each heat source part of the corresponding car charging pile based on big data, and judges the safety of the car charging pile by comparing the historical data and real-time monitoring data of the same model of charging piles.

[0013] A further technical improvement of the present invention is that the information processing module determines the safety of the vehicle charging pile in the following aspects:

[0014] Determination of heating delay time, that is, after the car charging pile works, the power monitoring unit monitors the power data, and as the car charging pile continues to work, the power load increases, which will cause the inside of the car charging pile to heat up. However, since it takes a certain amount of time for the heat to be transferred to the surface, there is a certain time delay in affecting the surface temperature change of the car charging pile. By comparing the time delay of the power data change and the temperature change, it can assist in judging the thermal response and heat dissipation performance of the car charging pile;

[0015] Determination of the location of the heat source: the information processing module locates the location of the heat source by monitoring the temperature changes in different areas of the surface of each car charging pile, and further compares the location of the heat source with the distribution of the electronic components inside the charging pile to determine whether the location of the heat source matches the distribution of the electronic components inside the car charging pile, and then determines whether an abnormal heat source occurs;

[0016] To judge the temperature diffusion, the information processing module compares the heat diffusion rate and temperature distribution of each heat source with the preset standard to determine whether the charging pile has sufficient heat dissipation capacity to ensure safe operation, or whether the abnormal heat source location poses a safety hazard.

[0017] A further technical improvement of the present invention is that the information processing module determines the heating delay time, including the following steps:

[0018] A1. The power monitoring unit collects power information of the corresponding car charging pile and analyzes the power load changes of the corresponding car charging pile;

[0019] At the same time, the temperature monitoring unit obtains the surface temperature of the corresponding vehicle charging pile to monitor the surface temperature change of the corresponding vehicle charging pile;

[0020] And the information processing module corrects the temperature change based on the environmental data of the corresponding area;

[0021] The formula used is: ;

[0022] in, To correspond to the surface temperature change of the car charging pile; is the heat generated by the power load; C is the specific heat capacity of the car charging pile;

[0023] is the environmental impact function, including:

[0024] , ambient temperature; H, ambient humidity; K, air circulation coefficient;

[0025] A2. Compare the change in power load with the change in surface temperature of the vehicle charging pile;

[0026] A3. Calculate the delay time between power load change and surface temperature change through cross-correlation analysis;

[0027] The cross-correlation analysis formula is: ;

[0028] in, is the power load at time t; is time t+ The surface temperature at time t; dt represents the time differential element of the integral variable; is the integration range, which means integration over all time; is the cross function value;

[0029] The delay time calculation formula is: ;

[0030] is the cross-correlation function;

[0031] Represents the search for the cross-correlation function Maximum time delay ;

[0032] A4. Delay time of maximum correlation in cross-correlation analysis With the preset delay time range Perform matching to determine whether the delay time is within a preset delay time range;

[0033] If the delay time Not within the delay time range If the information processing module determines that the car charging pile has a potential fault.

[0034] A further technical improvement of the present invention is that the method for determining the location of the heat source by the information processing module comprises the following steps:

[0035] S1. Preset identification points based on the distribution of electronic components inside the car charging pile;

[0036] S2. Monitor the surface temperature of the automobile charging pile through the temperature monitoring unit, and obtain the coordinate temperature of the surface of the automobile charging pile in combination with its position coordinates on the surface of the automobile charging pile;

[0037] S3, calculating the heating range and heating speed of the surface of the vehicle charging pile;

[0038] The heating range is obtained by calculating the increment of the surface temperature of the vehicle charging pile relative to the ambient temperature;

[0039] The heating rate is obtained by calculating the rate of change of surface temperature over time;

[0040] S4, performing heating delay calculation;

[0041] S5. Matching and judging the heat source position, including:

[0042] 1) In the temperature distribution data, the heating center is obtained by calculating the position with the largest temperature change rate;

[0043] 2) The center of the heat source position matches the identification point;

[0044] Calculate the spatial distance between the center of the heat source location and the identification point;

[0045] When the spatial distance is not greater than the preset spatial distance threshold and the heating delay is within the delay time range, it is determined that the heating is the heat generated by the normal operation of the vehicle charging pile;

[0046] If the conditions are not met, it is determined that abnormal fever exists.

[0047] A further technical improvement of the present invention is that: when multiple car charging piles work together, the temperature monitoring unit transmits the temperature data of each car charging pile to the information processing module respectively, ensuring that the temperature data of each car charging pile is independently monitored;

[0048] The information processing module monitors the temperature data of each automobile charging pile through time series analysis, obtains the dispersion of temperature data between different automobile charging piles, and determines whether the temperature distribution of each automobile charging pile is uniform;

[0049] If the power data of a car charging pile is normal, but the dispersion is greater than the preset safety threshold, it is determined whether the environmental data has an impact on the car charging pile, such as the problem of direct sunlight on the car charging pile.

[0050] A further technical improvement of the present invention is that: when the power data is normal, the information processing module matches the surface temperature with the heat source position by presetting a normal heat distribution model;

[0051] Among them, the normal heat distribution model is established based on the heat source position and temperature distribution law of the car charging pile under normal working conditions;

[0052] If the surface temperature of a car charging pile is discontinuous and a local "hot island" or "cold spot" phenomenon occurs, a warning message for the corresponding car charging pile will be generated to remind staff to inspect and repair the car charging pile in time to avoid cracks or damage on the surface of the car charging pile.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] The present invention collects the current, voltage, power and surface temperature data of the charging pile through the power monitoring unit and the temperature monitoring unit, respectively, to realize the comprehensive monitoring of the working state and temperature distribution of the charging pile, thereby improving the accuracy and comprehensiveness of the monitoring. In addition, the relationship between the heating of the internal electronic components and the surface temperature change is quantified through the time delay analysis of the power data and the temperature data, which is helpful to judge whether the thermal response performance and heat dissipation capacity of the charging pile are normal.

[0055] At the same time, the information processing module can analyze the location of the heat source through temperature data and match it with the identification points of the electronic components inside the charging pile to accurately determine whether there is abnormal heating. In addition, by calculating the heating rate and heat diffusion range, the heat dissipation performance of the charging pile is further analyzed, and by introducing environmental data, the temperature change of the charging pile is corrected, effectively avoiding misjudgment caused by external environmental influences. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0057] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0058] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0059] See also Figure 1 As shown, the present invention provides a car charging pile safety monitoring system based on big data, including a monitoring module and an information processing module;

[0060] The monitoring module includes multiple power monitoring units and temperature monitoring units;

[0061] Each power monitoring unit is matched with a group of car charging piles, and monitors the power information of the car charging piles, including the current, voltage and power of the car charging piles, to obtain power data, which helps the information processing module to determine whether the corresponding car charging piles are working;

[0062] The temperature monitoring unit is arranged outside each vehicle charging pile, and the recognition range of the temperature monitoring unit covers each vehicle charging pile, and is used to obtain the temperature data of the surface of each vehicle charging pile;

[0063] The information processing module is used to receive power data and temperature data as real-time monitoring data, and the information processing module analyzes the temperature data to obtain the heat source location of each car charging pile, as well as the heating rate and diffusion rate of each heat source location;

[0064] And the information processing module matches the heat source location with the corresponding automobile charging pile to determine whether the heating of the corresponding automobile charging pile is related to the distribution of electronic components inside the corresponding automobile charging pile;

[0065] At the same time, the information processing module analyzes the heating rate and diffusion rate of each heat source of the corresponding car charging pile based on big data, and judges the safety of the car charging pile by comparing the historical data and real-time monitoring data of the same model of charging pile;

[0066] The information processing module's safety assessment of vehicle charging piles includes the following aspects:

[0067] Determination of heating delay time, that is, after the car charging pile works, the power monitoring unit monitors the power data, and as the car charging pile continues to work, the power load increases, which will cause the inside of the car charging pile to heat up. However, since it takes a certain amount of time for the heat to be transferred to the surface, there is a certain time delay in affecting the surface temperature change of the car charging pile. By comparing the time delay of the power data change and the temperature change, it can assist in judging the thermal response and heat dissipation performance of the car charging pile;

[0068] The information processing module determines the heating delay time, including the following steps:

[0069] A1. The power monitoring unit collects power information of the corresponding vehicle charging pile to analyze the power load changes of the corresponding vehicle charging pile;

[0070] At the same time, the temperature monitoring unit obtains the surface temperature of the corresponding vehicle charging pile , to monitor the surface temperature changes of the corresponding car charging pile ;

[0071] And the information processing module corrects the temperature change based on the environmental data of the corresponding area;

[0072] In this embodiment, environmental data is obtained through public weather data services;

[0073] When the ambient temperature is low, the heat dissipation effect may be better, while when the ambient temperature is high, the heat dissipation effect may be poor;

[0074] The formula used is: ;

[0075] in, To correspond to the surface temperature change of the car charging pile, it indicates the temperature increase of the charging pile surface relative to the initial state, which is usually caused by the heat generated by the internal heat source gradually transferred to the surface;

[0076] The heat generated by the power load is determined by the heat generated by the power load during the operation of the car charging pile, which comes from the calculation of current, voltage and power;

[0077] C is the specific heat capacity of the car charging pile;

[0078] is the environmental impact function, which indicates the impact of environmental data on the temperature change of the vehicle charging pile, including:

[0079] , ambient temperature; H, ambient humidity; K, air circulation coefficient

[0080] In this embodiment, Obtained through big data, including data collection, data processing, and building functions using big data analysis tools ;

[0081] A2. Analyze the power data to obtain the power load change, and then compare the power load change with the surface temperature change of the car charging pile;

[0082] A3. Calculate the delay time between power load change and surface temperature change through cross-correlation analysis ;

[0083] The cross-correlation analysis formula is: ;

[0084] in, is the power load at time t;

[0085] is time t+ Surface temperature at time t;

[0086] dt represents the time differential element of the integral variable, which is used to represent small increments in continuous time;

[0087] is the integration range, which means integration over all time;

[0088] is the cross function value, indicating and The degree of correlation between

[0089] The delay time calculation formula is: ;

[0090] is the cross-correlation function;

[0091] represents finding the time delay that maximizes the cross-correlation function;

[0092] When the power load of the car charging pile increases, the internal components begin to heat up, but because heat conduction and diffusion take a certain amount of time, the change in surface temperature will lag behind the change in power load. By calculating the cross-correlation function, the time delay that maximizes ρ can be found, thereby quantifying the time difference between the power load change and the temperature change.

[0093] A4. Compare the delay time with the maximum correlation in the cross-correlation analysis with the preset delay time range. Perform matching to determine whether the delay time is within a preset delay time range;

[0094] in, is the minimum allowable heating delay time;

[0095] is the maximum allowable heating delay time;

[0096] If the delay time Not within the delay time range If the information processing module determines that the vehicle charging pile has a potential fault,

[0097] Determination of the location of the heat source: the information processing module locates the location of the heat source by monitoring the temperature changes in different areas of the surface of each car charging pile, and further compares the location of the heat source with the distribution of the electronic components inside the charging pile to determine whether the location of the heat source matches the distribution of the electronic components inside the car charging pile, and then determines whether an abnormal heat source occurs;

[0098] Temperature diffusion judgment: The information processing module compares the heat diffusion rate and temperature distribution of each heat source with the preset standard to determine whether the charging pile has sufficient heat dissipation capacity to ensure safe operation, or whether the abnormal heat source location poses a safety hazard;

[0099] The method for determining the location of a heat source by the information processing module includes the following steps:

[0100] S1. Preset identification points based on the distribution of electronic components inside the car charging pile ;

[0101] S2. Monitor the surface temperature of the car charging pile through the temperature monitoring unit, and combine its position coordinates (x, y) on the surface of the car charging pile to obtain the coordinate temperature of the corresponding car charging pile surface. , t represents time;

[0102] S3, calculating the heating range and heating speed of the surface of the vehicle charging pile;

[0103] The heating range is calculated by calculating the increment of the surface temperature of the vehicle charging pile relative to the ambient temperature, and the formula is:

[0104] ;

[0105] in, is the surface temperature of the vehicle charging pile surface at position (x, y) at time t, which is obtained by monitoring by a temperature monitoring unit;

[0106] is the ambient temperature;

[0107] The coordinate temperature of the surface (x, y) of the car charging pile relative to the ambient temperature The amount of growth;

[0108] Will With preset temperature increment threshold Compare and determine whether there is heating at the coordinate (x, y) position on the surface of the vehicle charging pile;

[0109] when >Temperature increment threshold When the surface of the vehicle charging pile is heated at the position (x, y);

[0110] The heating rate is calculated by calculating the rate of change of surface temperature over time. ;

[0111] The formula is: ;

[0112] in, is the rate of change of the temperature at the position (x, y) on the surface of the car charging pile with time t, that is, the heating rate;

[0113] is the temperature of the surface of the car charging pile at position (x, y) at time t;

[0114] To find the partial derivative with respect to time t, it represents the surface temperature The rate of change with respect to time;

[0115] S4, performing heating delay calculation;

[0116] S5. Matching and judging the heat source position, including:

[0117] 1) Location of fever center;

[0118] In temperature distribution data, identify the locations where the rate of temperature change is greatest , Take the rate of change The largest location;

[0119] 2) The center of the heat source position matches the identification point;

[0120] Calculate the center and identification point of the heat source The spatial distance D between them;

[0121] ;

[0122] When D is not greater than the preset spatial distance threshold and the heating delay is within the delay time range If the temperature is within 100 °C, it is judged that the heat is generated by the normal operation of the car charging pile;

[0123] If the conditions are not met, it is determined that abnormal heating exists, which may be caused by a fault in the vehicle charging station or the presence of an external heat source.

[0124] And when multiple car charging piles are working together, the temperature monitoring unit transmits the temperature data of each car charging pile to the information processing module respectively, ensuring that the temperature data of each car charging pile is monitored independently;

[0125] The information processing module monitors the temperature data of each car charging pile through time series analysis, obtains the dispersion of temperature data between different car charging piles, and determines whether the temperature distribution of each car charging pile is uniform;

[0126] If the power data of a car charging pile is normal, but the dispersion is greater than the preset safety threshold, it is determined whether the environmental data has an impact on the car charging pile, such as the problem of direct sunlight on the car charging pile.

[0127] When the power data is normal, the information processing module matches the surface temperature with the heat source location by presetting the normal heat distribution model;

[0128] Among them, the normal heat distribution model is established based on the heat source position and temperature distribution law of the car charging pile under normal working conditions;

[0129] If the surface temperature of a car charging pile is discontinuous and a local "hot island" or "cold spot" phenomenon occurs, a warning message for the corresponding car charging pile will be generated to remind staff to inspect and repair the car charging pile in time to avoid cracks or damage on the surface of the car charging pile.

[0130] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A car charging pile safety monitoring system based on big data, including a monitoring module and an information processing module, characterized in that: The monitoring module includes a plurality of power monitoring units and a temperature monitoring unit; Each power monitoring unit is matched with a group of car charging piles, and monitors the power information of the car charging piles, including the current, voltage, and power of the car charging piles, to obtain power data; The recognition range of the temperature monitoring unit covers each vehicle charging pile, and obtains the temperature data of the surface of each vehicle charging pile; The information processing module is used to receive power data and temperature data as real-time monitoring data, and the information processing module analyzes the temperature data to obtain the heat source position of each automobile charging pile, as well as the heating rate and diffusion rate of each heat source position; And the information processing module matches the heat source location with the corresponding automobile charging pile to determine whether the heating of the corresponding automobile charging pile is related to the distribution of electronic components inside the corresponding automobile charging pile; At the same time, the information processing module compares the historical data and real-time monitoring data of the same type of charging piles based on big data to judge the safety of the car charging piles; Safety judgment includes judgment of heating delay time, location of heat source and temperature diffusion; The information processing module determines the heating delay time, including the following steps: A1. The power monitoring unit collects power information of the corresponding car charging pile and analyzes the power load changes of the corresponding car charging pile; At the same time, the temperature monitoring unit obtains the surface temperature of the corresponding vehicle charging pile to monitor the surface temperature change of the corresponding vehicle charging pile; And the information processing module corrects the temperature change based on the environmental data of the corresponding area; The formula used is: ; in, To correspond to the surface temperature change of the car charging pile; is the heat generated by the power load; C is the specific heat capacity of the car charging pile; is the environmental impact function, including: , ambient temperature; H, ambient humidity; K, air circulation coefficient; A2, compare the power load change with the surface temperature change of the car charging pile; A3, calculate the delay time between the power load change and the surface temperature change through cross-correlation analysis; the cross-correlation analysis formula is: ;in, is the power load at time t; For time The surface temperature at the time; dt represents the time differential element of the integral variable; is the integration range, which means integration over all time; is the cross function value; The delay time calculation formula is: ; is the cross-correlation function; Represents the search for the cross-correlation function Maximum time delay ; A4. By comparing the delay time of the maximum correlation in the cross-correlation analysis with the preset delay time range Perform matching to determine whether the delay time is within a preset delay time range; If the delay time Not within the delay time range If the information processing module determines that the car charging pile has a potential fault.

2. According to the big data-based automobile charging pile safety monitoring system of claim 1, it is characterized in that: The method for determining the location of a heat source by the information processing module includes the following steps: S1. Preset identification points based on the distribution of electronic components inside the car charging pile; S2. Monitor the surface temperature of the automobile charging pile through the temperature monitoring unit, and obtain the coordinate temperature of the surface of the automobile charging pile in combination with its position coordinates on the surface of the automobile charging pile; S3, calculating the heating range and heating speed of the surface of the vehicle charging pile; The heating range is obtained by calculating the increment of the surface temperature of the vehicle charging pile relative to the ambient temperature; The heating rate is obtained by calculating the rate of change of surface temperature over time; S4, performing heating delay calculation; S5. Match and judge the location of the heat source.

3. The big data-based automobile charging pile safety monitoring system according to claim 2 is characterized in that: Step S5 includes: 1) In the temperature distribution data, the heating center is obtained by calculating the position with the largest temperature change rate; 2) The center of the heat source position matches the identification point; Calculate the spatial distance between the center of the heat source location and the identification point; When the spatial distance is not greater than the preset spatial distance threshold and the heating delay is within the delay time range, it is determined that the heating is the heat generated by the normal operation of the vehicle charging pile; If the conditions are not met, it is determined that abnormal fever exists.

4. The automobile charging pile safety monitoring system based on big data according to claim 1 is characterized in that: When multiple car charging piles work together, the temperature monitoring unit transmits the temperature data of each car charging pile to the information processing module respectively; The information processing module monitors the temperature data of each automobile charging pile through time series analysis to obtain the dispersion of temperature data between different automobile charging piles; If the power data of a certain car charging pile is normal, but the dispersion is greater than the preset safety threshold, it is determined whether the environmental data has an impact on the car charging pile.

5. The automobile charging pile safety monitoring system based on big data according to claim 1 is characterized in that: When the power data is normal, the information processing module matches the surface temperature with the heat source position by presetting a normal heat distribution model; If the surface temperature of a certain car charging pile is discontinuous, a warning message corresponding to the car charging pile is generated.

6. The big data-based automobile charging pile safety monitoring system according to claim 5 is characterized in that: The normal heat distribution model is established based on the heat source location and temperature distribution law of the automobile charging pile under normal working conditions.

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