A running detection and early warning system suitable for a light storage and charging integrated device

Abstract

The application belongs to the field of light storage and charging integrated equipment, and relates to a data analysis technology, and is used for solving the problem that the operation detection and early warning system of the existing light storage and charging integrated equipment cannot detect the state of the photovoltaic power generation process, in particular to an operation detection and early warning system suitable for light storage and charging integrated equipment, which comprises a power generation test module, a power generation detection module and an abnormality analysis module; the power generation test module is used for testing and analyzing the power generation of the light storage and charging integrated equipment; a test period is generated and the test period is divided into a plurality of test time periods, a plurality of test time points are set in the test time periods, and the illumination coefficient of the photovoltaic power generation area of the light storage and charging integrated equipment is acquired at the test time points; the application can test and analyze the power generation of the light storage and charging integrated equipment, collect and count the parameters affecting the photovoltaic power generation, and then generate power generation comparison basis according to the power generation and the illumination value in the test period, so as to provide data support for the power generation detection process.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of light storage and charging integrated equipment, and relates to a data analysis technology, in particular to an operation detection and early warning system suitable for light storage and charging integrated equipment. BACKGROUND

[0002] The light storage and charging integrated equipment is a comprehensive equipment integrating solar power generation, energy storage and charging functions, which mainly comprises a solar panel energy storage battery, a charging module and a control unit and the like. The working principle of the light storage and charging integrated equipment is to convert light energy into electric energy by using a solar panel, and then store the electric energy in an energy storage battery. When charging is needed, the equipment automatically extracts electric energy from the energy storage battery and provides power for electric vehicles or other electric equipment through the charging module.

[0003] The existing operation detection and early warning system of the light storage and charging integrated equipment can only detect and analyze the charging process, and cannot detect the state of the photovoltaic power generation process, so that the abnormal power generation state is difficult to be detected. In addition, the fault type cannot be analyzed according to the abnormal power generation data, which leads to low efficiency of abnormal detection and processing of the power generation system.

[0004] In view of the above technical problems, the present application provides a solution. SUMMARY

[0005] The application aims to provide an operation detection and early warning system suitable for light storage and charging integrated equipment, which can solve the problem that the existing operation detection and early warning system of the light storage and charging integrated equipment cannot detect the state of the photovoltaic power generation process.

[0006] The technical problem to be solved by the application is how to provide an operation detection and early warning system suitable for light storage and charging integrated equipment, which can detect the state of the photovoltaic power generation process.

[0007] The object of the application can be achieved by the following technical scheme.

[0008] An operation detection and early warning system suitable for light storage and charging integrated equipment, comprising a power generation test module, a power generation detection module and an abnormality analysis module, wherein the power generation test module, the power generation detection module and the abnormality analysis module are sequentially connected in communication.

[0009] The power generation test module is used for testing and analyzing the power generation of the light storage and charging integrated device, generating a test period and dividing the test period into a plurality of test time periods, setting a plurality of test time points in the test time periods, and obtaining the illumination coefficient GZ of the photovoltaic power generation area of the light storage and charging integrated device at the test time points; summing and averaging the illumination coefficients GZ of all the test time points in the test time periods to obtain the illumination value of the test time period, and forming an illumination range by the maximum value and the minimum value of the illumination values of the test time periods in the test period, dividing the illumination range into a plurality of illumination intervals, and forming a power generation range of the illumination interval by the minimum value and the minimum value of the power generation of the test time period in which the illumination value is located in the illumination interval.

[0010] The power generation detection module is used for detecting and analyzing the power generation state of the light storage and charging integrated device, generating a detection period and dividing the detection period into a plurality of detection time periods, obtaining the deviation coefficient and the uniformity coefficient of the detection time period, comparing the deviation coefficient and the uniformity coefficient with the preset deviation threshold value and the uniformity threshold value respectively, and determining whether the power generation state of the light storage and charging integrated device in the detection period meets the requirements through the comparison results.

[0011] The abnormality analysis module is used for analyzing the power generation abnormal state of the light storage and charging integrated device.

[0012] As a preferred embodiment of the present application, the process of obtaining the illumination coefficient GZ includes: obtaining the light intensity data GQ, the radiation data FS and the temperature data WD of the photovoltaic power generation area at the test time point and performing numerical calculation to obtain the illumination coefficient GZ of the photovoltaic power generation area at the test time point; the light intensity data GQ is the illumination intensity value of the photovoltaic power generation area at the test time point, the radiation data FS is the radiation amount of the photovoltaic power generation area at the test time point, and the temperature data WD is the air temperature value of the photovoltaic power generation area at the test time point.

[0013] As a preferred embodiment of the present application, the process of obtaining the deviation coefficient and the uniformity coefficient of the detection time period includes: the length of the detection time period is equal to the length of the test time period; a plurality of detection time points are set in the detection time period, the light intensity data GQ, the radiation data FS and the temperature data WD of the photovoltaic power generation area of the light storage and charging integrated device at the detection time points are obtained and numerical calculation is performed to obtain the illumination coefficient GZ, the illumination coefficients GZ of all the detection time points in the detection time period are summed and averaged to obtain the detection value of the detection time period, the power generation range corresponding to the detection value is called, the average value of the maximum value and the minimum value of the power generation range is marked as a standard value, the absolute value of the difference between the power generation of the light storage and charging integrated device in the detection time period and the standard value is marked as a deviation value, the deviation values of all the detection time periods in the detection period are summed and averaged to obtain the deviation coefficient of the detection period, and the uniformity coefficient is obtained by variance calculation of the deviation values of all the detection time periods in the detection period.

[0014] As a preferred embodiment of the present application, the specific process of comparing the deviation coefficient and the uniformity coefficient with the preset deviation threshold and the uniformity threshold respectively includes: if the deviation coefficient is less than the deviation threshold and the uniformity coefficient is less than the uniformity threshold, it is determined that the power generation state of the light storage and charging integrated device in the detection period meets the requirements; otherwise, it is determined that the power generation state of the light storage and charging integrated device in the detection period does not meet the requirements, an abnormal analysis signal is generated and sent to the abnormal analysis module.

[0015] As a preferred embodiment of the present application, the specific process of the abnormal analysis module analyzing the power generation abnormal state of the light storage and charging integrated device includes: taking an infrared image of the photovoltaic power generation area of the light storage and charging integrated device, marking the obtained infrared image as an analysis image, dividing the analysis image into a plurality of analysis regions according to the distribution of the photovoltaic panel, obtaining the temperature value of the analysis region and calculating the variance of the temperature value of all analysis regions to obtain an overall coefficient, comparing the overall coefficient with a preset overall threshold: if the overall coefficient is less than the overall threshold, generating an overall shadow signal and sending the overall shadow signal to the mobile terminal of the management personnel; if the overall coefficient is greater than or equal to the overall threshold, comparing the temperature value of the analysis region with a preset temperature threshold: if the temperature value is less than the temperature threshold, marking the corresponding analysis region as an abnormal region; if the temperature value is greater than or equal to the temperature threshold, marking the corresponding analysis region as a normal region; and centrally analyzing the abnormal region.

[0016] As a preferred embodiment of the present application, the specific process of centrally analyzing the abnormal region includes: randomly selecting an abnormal region and marking it as a central region, obtaining the distance value of the central point of the central region and the central points of all remaining abnormal regions and summing to obtain the central value of the central region; then selecting the next abnormal region as the central region and obtaining the central value of the central region again, and so on, until all abnormal regions are used as central regions to obtain the central value, summing all central values to obtain a central coefficient, comparing the central coefficient with a preset central threshold: if the central coefficient is less than the central threshold, generating a regional shadow signal and sending the regional shadow signal to the mobile terminal of the management personnel; if the central coefficient is greater than or equal to the central threshold, marking the photovoltaic panel corresponding to the abnormal region as an abnormal object, generating a component abnormal signal and sending the component abnormal signal and the abnormal object to the mobile terminal of the management personnel.

[0017] As a preferred embodiment of the present application, the working method of the operation detection and early warning system suitable for the light storage and charging integrated device includes the following steps:

[0018] Step one: test and analyze the power generation of the light storage and charging integrated device; generate a test period and divide the test period into a plurality of test time periods; obtain the illumination value of the test time period; the illumination range is composed of the maximum value and the minimum value of the illumination value of the test time period; the illumination range is divided into a plurality of illumination intervals; the power generation range of the illumination interval is composed of the minimum value and the minimum value of the power generation of the test time period in which the illumination value is located in the illumination interval;

[0019] Step two: detect and analyze the power generation state of the light storage and charging integrated device; generate a detection period and divide the detection period into a plurality of detection time periods; obtain the deviation value of the detection time period; calculate the deviation coefficient and the uniform coefficient by the deviation value of all detection time periods in the detection period; determine whether the power generation state of the light storage and charging integrated device in the detection period meets the requirements through the deviation coefficient and the uniform coefficient;

[0020] Step three: analyze the power generation abnormal state of the light storage and charging integrated device; take infrared images of the photovoltaic power generation area of the light storage and charging integrated device; mark the obtained infrared images as analysis images; divide the analysis images into a plurality of analysis regions according to the distribution of the photovoltaic panel; mark the analysis region as a normal region or an abnormal region through the temperature value of the analysis region; centrally analyze the abnormal region; generate a regional shadow signal or a component abnormal signal and send it to the mobile terminal of the management personnel.

[0021] The present application has the following advantages:

[0022] 1. The power generation test module can test and analyze the power generation of the light storage and charging integrated device; the parameters affecting the photovoltaic power generation are collected and counted; then the power generation contrast basis is generated according to the power generation and the illumination value in the test period; and data support is provided for the power generation detection process;

[0023] 2. The power generation detection module can detect and analyze the power generation state of the light storage and charging integrated device; analyze and calculate the deviation coefficient and the uniform coefficient by the deviation value of all detection time periods in the detection period; and timely alarm when the power generation of the light storage and charging integrated device is abnormal in the detection period;

[0024] 3. The abnormality analysis module can analyze the power generation abnormal state of the light storage and charging integrated device; take infrared images of the photovoltaic power generation area of the light storage and charging integrated device; mark the abnormal influencing factors according to the temperature value distribution of the analysis region in the infrared image; and identify the regional shielding behavior by combining the centralized analysis process of the abnormal region; provide a reference direction for power generation abnormality processing decision; and improve the abnormality processing efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0027] Figure 2 This is a flow chart of the method of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0029] Example 1

[0030] like Figure 1 As shown, an operation detection and early warning system suitable for integrated photovoltaic storage and charging equipment includes a power generation test module, a power generation detection module and an abnormality analysis module. The power generation test module, the power generation detection module and the abnormality analysis module are communicatively connected in sequence.

[0031] The power generation test module is used for testing and analyzing the power generation of the light storage and charging integrated device: generating a test period and dividing the test period into a plurality of test time periods, setting a plurality of test time points in the test time periods, and obtaining light intensity data GQ, radiation data FS and temperature data WD of a photovoltaic power generation area of the light storage and charging integrated device at the test time points; the light intensity data GQ is the illumination intensity value of the photovoltaic power generation area at the test time point, the radiation data FS is the radiation amount of the photovoltaic power generation area at the test time point, and the temperature data WD is the air temperature value of the photovoltaic power generation area at the test time point; the illumination coefficient GZ of the photovoltaic power generation area at the test time point is obtained through the formula GZ = α1*GQ + α2*FS + α3*WD, wherein α1, α2 and α3 are proportional coefficients, and α1>α2>α3>1; the illumination coefficients GZ of all test time points in the test period are summed and averaged to obtain the illumination value of the test period, the maximum value and the minimum value of the illumination value of the test period in the test period form an illumination range, the illumination range is divided into a plurality of illumination intervals, the minimum value and the minimum value of the power generation range of the illumination interval are formed by the minimum value and the minimum value of the power generation of the test period in which the illumination value is located in the illumination interval; the power generation of the light storage and charging integrated device is tested and analyzed, the parameters affecting the photovoltaic power generation are collected and counted, and then the power generation contrast basis is generated according to the power generation and the illumination value in the test period, so as to provide data support for the power generation detection process.

[0032] The power generation detection module is used for detecting and analyzing the power generation state of the light storage and charging integrated device: a detection period is generated and the detection period is divided into a plurality of detection time periods, the length of the detection time period is equal to the length of the test time period; a plurality of detection time points are set in the detection time period, the light intensity data GQ, the radiation data FS and the temperature data WD of the photovoltaic power generation area of the light storage and charging integrated device at the detection time points are obtained and numerical calculation is performed to obtain the illumination coefficient GZ, the illumination coefficients GZ of all detection time points in the detection time period are summed and averaged to obtain the detection value of the detection time period, the power generation range of the illumination interval corresponding to the detection value is called, the average value of the maximum value and the minimum value of the power generation range is marked as the standard value, the absolute value of the difference between the power generation of the light storage and charging integrated device in the detection time period and the standard value is marked as the deviation value, the deviation values of all detection time periods in the detection period are summed and averaged to obtain the deviation coefficient of the detection period, the deviation values of all detection time periods in the detection period are calculated to obtain the uniformity coefficient, the deviation coefficient and the uniformity coefficient are compared with the preset deviation threshold and the uniformity threshold respectively: if the deviation coefficient is less than the deviation threshold and the uniformity coefficient is less than the uniformity threshold, it is determined that the power generation state of the light storage and charging integrated device in the detection period meets the requirements; otherwise, it is determined that the power generation state of the light storage and charging integrated device in the detection period does not meet the requirements, an abnormal analysis signal is generated and sent to the abnormal analysis module; the power generation state of the light storage and charging integrated device is detected and analyzed, the deviation coefficients and the uniformity coefficients are obtained by analyzing and calculating the deviation values of all detection time periods in the detection period, and the light storage and charging integrated device is timely warned when the power generation of the light storage and charging integrated device is abnormal in the detection period.

[0033] The abnormality analysis module is used to analyze the abnormal power generation status of the photovoltaic storage and charging integrated device: infrared images are taken of the photovoltaic power generation area of ​​the photovoltaic storage and charging integrated device, the obtained infrared images are marked as analysis images, the analysis images are divided into several analysis areas according to the distribution of photovoltaic panels, the temperature values ​​of the analysis areas are obtained, and the variance of the temperature values ​​of all analysis areas is calculated to obtain the overall coefficient, and the overall coefficient is compared with the preset overall threshold: if the overall coefficient is less than the overall threshold, an overall shadow signal is generated and the overall shadow signal is sent to the mobile phone terminal of the administrator; if the overall coefficient is greater than or equal to the overall threshold, the temperature value of the analysis area is compared with the preset temperature threshold: if the temperature value is less than the temperature threshold, the corresponding analysis area is marked as an abnormal area; if the temperature value is greater than or equal to the temperature threshold, the corresponding analysis area is marked as a normal area; centralized analysis of abnormal areas is performed: an abnormal area is randomly selected and marked as the central area, the distance values ​​between the center point of the central area and the center points of all remaining abnormal areas are obtained, and the sum is averaged. The concentration value of the central area is obtained by summing up all the concentration values ​​and averaging them to obtain the concentration coefficient, which is compared with the preset concentration threshold: if the concentration coefficient is less than the concentration threshold, a regional shadow signal is generated and the regional shadow signal is sent to the mobile phone terminal of the administrator; if the concentration coefficient is greater than or equal to the concentration threshold, the photovoltaic panel corresponding to the abnormal area is marked as an abnormal object, a component abnormality signal is generated, and the component abnormality signal and the abnormal object are sent to the mobile phone terminal of the administrator; the abnormal power generation state of the photovoltaic storage and charging integrated device is analyzed, and an infrared image of the photovoltaic power generation area of ​​the photovoltaic storage and charging integrated device is taken, and the abnormal influencing factors are marked according to the temperature value distribution of the analysis area in the infrared image, and the regional occlusion behavior is identified in combination with the centralized analysis process of the abnormal area, providing a reference direction for the power generation abnormality processing decision and improving the efficiency of abnormality processing.

[0034] Example 2

[0035] like Figure 2 As shown, a method for detecting and warning operation of an integrated photovoltaic storage and charging device includes the following steps:

[0036] Step 1: Test and analyze the power generation of the integrated solar-storage-charging device: Generate a test cycle and divide the test cycle into several test periods. Obtain the light values ​​of the test periods. The maximum and minimum light values ​​of the test periods within the test cycle constitute the light range. The light range is divided into several light intervals. The minimum and minimum power generation values ​​of the test periods within the light intervals constitute the power generation range of the light intervals.

[0037] Step two: detecting and analyzing the power generation state of the light storage and charging integrated device: generating a detection period and dividing the detection period into several detection time periods, obtaining the deviation value of the detection time period, calculating the deviation value of all detection time periods in the detection period to obtain the deviation coefficient and uniform coefficient, and determining whether the power generation state of the light storage and charging integrated device in the detection period meets the requirements through the deviation coefficient and the uniform coefficient;

[0038] Step three: analyzing the abnormal power generation state of the light storage and charging integrated device: taking infrared images of the photovoltaic power generation area of the light storage and charging integrated device, marking the obtained infrared images as analysis images, dividing the analysis images into several analysis regions according to the distribution of the photovoltaic panels, marking the analysis regions as normal regions or abnormal regions through the temperature values of the analysis regions, centrally analyzing the abnormal regions, generating regional shadow signals or component abnormal signals, and sending them to the mobile terminal of the management personnel.

[0039] A running detection and early warning system suitable for a light storage and charging integrated device, which, when working, generates a test period and divides the test period into several test time periods, obtains the illumination value of the test time period, forms an illumination range from the maximum value and the minimum value of the illumination value of the test time period in the test period, divides the illumination range into several illumination intervals, forms a power generation range of the illumination interval from the minimum value and the minimum value of the power generation of the test time period in which the illumination value is located in the illumination interval, generates a detection period and divides the detection period into several detection time periods, obtains the deviation value of the detection time period, calculates the deviation value of all detection time periods in the detection period to obtain the deviation coefficient and the uniform coefficient, determines whether the power generation state of the light storage and charging integrated device in the detection period meets the requirements through the deviation coefficient and the uniform coefficient, takes infrared images of the photovoltaic power generation area of the light storage and charging integrated device, marks the obtained infrared images as analysis images, divides the analysis images into several analysis regions according to the distribution of the photovoltaic panels, marks the analysis regions as normal regions or abnormal regions through the temperature values of the analysis regions, centrally analyzes the abnormal regions, generates regional shadow signals or component abnormal signals, and sends them to the mobile terminal of the management personnel.

[0040] The above content is only an example and description of the structure of the present application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the structure of the present application or exceed the scope defined by the present claims, and should belong to the protection scope of the present application.

[0041] The above formulas are obtained by collecting a large amount of data for software simulation and selecting one formula close to the true value, and the coefficients in the formula are set by a person skilled in the art according to the actual situation; for example: formula GZ = a1*GQ + a2*FS + a3*WD; a plurality of sample data are collected by a person skilled in the art, and a corresponding illumination coefficient is set for each sample data; the set illumination coefficient and the collected sample data are substituted into the formula, any three formulas constitute a ternary linear equation group, the calculated coefficients are screened and the mean value is taken, and the values of a1, a2 and a3 are 4.43, 2.85 and 2.12 respectively;

[0042] The size of the coefficient is a specific value obtained by quantifying each parameter for subsequent comparison, and the size of the coefficient depends on the number of sample data and the preliminary setting of the corresponding illumination coefficient by a person skilled in the art for each sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the positive correlation between the illumination coefficient and the light intensity data.

[0043] In the description of the present specification, the description of the terms "one embodiment", "example", "specific example" and the like means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0044] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all the details and limit the application to the specific embodiments. Obviously, many modifications and changes can be made according to the content of the present specification. The present specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and utilize the application. The application is limited by the claims and their entire scope and equivalents.

Claims

1. A running detection and early warning system suitable for a light storage and charging integrated device, characterized in that, The power generation test module, the power generation detection module and the abnormality analysis module are sequentially connected in communication; The power generation test module is used for testing and analyzing the power generation of the light storage and charging integrated device: generating a test period and dividing the test period into a plurality of test time periods, setting a plurality of test time points in the test time periods, and obtaining the light intensity coefficient GZ of the photovoltaic power generation area of the light storage and charging integrated device at the test time points; summing and averaging the light intensity coefficients GZ of all the test time points in the test time period to obtain the light value of the test time period, and constructing the power generation range of each light interval from the minimum value and the maximum value of the light value of the test time period in the test period, and dividing the light range into a plurality of light intervals. The power generation detection module is used for detecting and analyzing the power generation state of the light storage and charging integrated device: generating a detection period and dividing the detection period into a plurality of detection time periods, obtaining the deviation coefficient and the uniformity coefficient of the detection time period, comparing the deviation coefficient and the uniformity coefficient with the preset deviation threshold and the uniformity threshold respectively, and determining whether the power generation state of the light storage and charging integrated device in the detection period meets the requirements according to the comparison results. The abnormality analysis module is used for analyzing the power generation abnormality state of the light storage and charging integrated device. 2.The operation detection and early warning system suitable for the optical storage and charging integrated device according to claim 1, wherein, The light intensity coefficient GZ is obtained by obtaining the light intensity data GQ, the radiation data FS and the temperature data WD of the photovoltaic power generation area at the test time point and performing numerical calculation to obtain the light intensity coefficient GZ of the photovoltaic power generation area at the test time point. 3.The operation detection and early warning system for the optical storage and charging integrated device according to claim 2, characterized in that, The deviation coefficient and the uniformity coefficient of the detection time period are obtained by setting a plurality of detection time points in the detection time period, obtaining the light intensity data GQ, the radiation data FS and the temperature data WD of the photovoltaic power generation area of the light storage and charging integrated device at the detection time points, and performing numerical calculation to obtain the light intensity coefficient GZ, summing and averaging the light intensity coefficients GZ of all the detection time points in the detection time period to obtain the detection value of the detection time period, calling the power generation range of the corresponding light interval of the detection value, marking the average value of the maximum value and the minimum value of the power generation range as a standard value, marking the absolute value of the difference between the power generation of the light storage and charging integrated device in the detection time period and the standard value as a deviation value, summing and averaging the deviation values of all the detection time periods in the detection period to obtain the deviation coefficient of the detection period, and performing variance calculation on the deviation values of all the detection time periods in the detection period to obtain the uniformity coefficient.

4. The operation detection and early warning system suitable for the optical storage and charging integrated device according to claim 3, characterized in that, The specific process of comparing the deviation coefficient and the uniform coefficient with the preset deviation threshold and the uniform threshold respectively includes: if the deviation coefficient is less than the deviation threshold and the uniform coefficient is less than the uniform threshold, it is determined that the power generation state of the light storage and charging integrated equipment in the detection period meets the requirements; otherwise, it is determined that the power generation state of the light storage and charging integrated equipment in the detection period does not meet the requirements, an abnormal analysis signal is generated and sent to the abnormal analysis module.

5. The operation detection and early warning system suitable for the optical storage and charging integrated device according to claim 4, characterized in that, The specific process of the abnormal analysis module analyzing the power generation abnormal state of the light storage and charging integrated equipment includes: taking an infrared image of the photovoltaic power generation area of the light storage and charging integrated equipment, marking the obtained infrared image as an analysis image, dividing the analysis image into a plurality of analysis regions according to the distribution of the photovoltaic panel, obtaining the temperature value of the analysis region and calculating the variance of the temperature value of all analysis regions to obtain an overall coefficient, comparing the overall coefficient with the preset overall threshold: if the overall coefficient is less than the overall threshold, a whole shadow signal is generated and sent to the mobile terminal of the management personnel; if the overall coefficient is greater than or equal to the overall threshold, the temperature value of the analysis region is compared with the preset temperature threshold: if the temperature value is less than the temperature threshold, the corresponding analysis region is marked as an abnormal region; if the temperature value is greater than or equal to the temperature threshold, the corresponding analysis region is marked as a normal region; the abnormal region is analyzed. 6.The operation detection and early warning system for the optical storage and charging integrated device according to claim 5, wherein, The specific process of analyzing the abnormal region includes: randomly selecting an abnormal region and marking it as a central region, obtaining the distance value of the central point of the central region and the central points of all remaining abnormal regions and summing to obtain the central value of the central region; then selecting the next abnormal region as the central region and obtaining the central value of the central region again, and so on, until all abnormal regions are used as central regions to obtain the central value, summing all central values to obtain a central coefficient, comparing the central coefficient with the preset central threshold: if the central coefficient is less than the central threshold, a regional shadow signal is generated and sent to the mobile terminal of the management personnel; if the central coefficient is greater than or equal to the central threshold, the photovoltaic panel corresponding to the abnormal region is marked as an abnormal object, a component abnormal signal is generated and sent to the mobile terminal of the management personnel. 7.The operation detection and early warning system for the integrated optical storage and charging device according to any one of claims 1-6, characterized in that, The working method of the operation detection and early warning system suitable for the light storage and charging integrated equipment includes the following steps: Step one: test and analyze the power generation of the light storage and charging integrated equipment: generate a test period and divide the test period into a plurality of test periods, obtain the light value of the test period, and construct the light range from the maximum value and the minimum value of the light value of the test period in the test period, divide the light range into a plurality of light intervals, and construct the power generation range of the light interval from the minimum value and the minimum value of the power generation of the test period in which the light value is located in the light interval; Step two: detecting and analyzing the power generation state of the light storage and charging integrated device: generating a detection period and dividing the detection period into several detection time periods, obtaining the deviation value of the detection time period, calculating the deviation value of all detection time periods in the detection period to obtain the deviation coefficient and the uniform coefficient, and determining whether the power generation state of the light storage and charging integrated device in the detection period meets the requirements through the deviation coefficient and the uniform coefficient; Step three: analyzing the abnormal power generation state of the light storage and charging integrated device: taking infrared images of the photovoltaic power generation area of the light storage and charging integrated device, marking the obtained infrared images as analysis images, dividing the analysis images into several analysis regions according to the distribution of the photovoltaic panels, marking the analysis regions as normal regions or abnormal regions through the temperature values of the analysis regions, centrally analyzing the abnormal regions, generating regional shadow signals or component abnormal signals, and sending them to the mobile terminals of the management personnel.

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