Operation detection early warning system suitable for optical storage and charging integrated equipment

Abstract

The invention belongs to the field of optical storage and charging integrated equipment, relates to a data analysis technology, is used for solving the problem that an existing operation detection and early warning system of the optical storage and charging integrated equipment cannot detect the state of a photovoltaic power generation process, and particularly relates to an operation detection and early warning system suitable for the optical storage and charging integrated equipment. Comprising a power generation test module, a power generation detection module and an anomaly analysis module. The power generation test module is used for testing and analyzing the power generation amount of the light storage and charging integrated equipment: 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 acquiring an illumination coefficient of a photovoltaic power generation area of the light storage and charging integrated equipment at the test time points; according to the invention, the generating capacity of the photovoltaic storage and charging integrated equipment can be tested and analyzed, the parameters influencing the photovoltaic generating capacity are collected and counted, and then a power generation contrast basis is generated according to the generating capacity and the illumination value in the test period, so that data support is provided for the power generation detection process.

Description

Technical Field

[0001] The present invention belongs to the field of integrated photovoltaic storage and charging equipment, relates to data analysis technology, and specifically is an operation detection and early warning system suitable for integrated photovoltaic storage and charging equipment. Background Art

[0002] The integrated photovoltaic storage and charging device is a comprehensive device that integrates solar power generation, energy storage and charging functions. It is mainly composed of solar panel energy storage batteries, charging modules and control units. The working principle of the integrated photovoltaic storage and charging device is to use solar panels to convert light energy into electrical energy, and then store the electrical energy in the energy storage battery. When charging is required, the device will automatically extract electrical energy from the energy storage battery and provide power to electric vehicles or other electrical equipment through the charging module.

[0003] The existing operation detection and early warning systems of integrated photovoltaic storage and charging equipment can usually only perform detection and early warning analysis on the charging process, but cannot detect the state of the photovoltaic power generation process. As a result, it is difficult to detect abnormal power generation status, and it is impossible to analyze the fault type based on abnormal power generation data, resulting in low efficiency in abnormal detection and processing of the power generation subsystem.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide an operation detection and early warning system applicable to a photovoltaic storage and charging integrated device, which is used to solve the problem that the operation detection and early warning system of the existing photovoltaic storage and charging integrated device cannot detect the state of the photovoltaic power generation process;

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

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An operation detection and early warning system suitable for photovoltaic storage and charging integrated equipment comprises 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 to test and analyze the power generation of the photovoltaic storage and charging integrated device: generate a test cycle and divide the test cycle into a number of test time periods, set a number of test time points in the test period, and obtain the light coefficient GZ of the photovoltaic power generation area of ​​the photovoltaic storage and charging integrated device at the test time point; sum and average the light coefficients GZ of all test time points in the test period to obtain the light value of the test period, and the maximum light value and the minimum light value of the test period in the test cycle constitute the light range, divide the light range into a number of light intervals, and the minimum value and the minimum value of the power generation of the test period whose light value is within the light interval constitute the power generation range of the light interval;

[0010] The power generation detection module is used to detect and analyze the power generation state of the integrated photovoltaic storage and charging device: generate a detection cycle and divide the detection cycle into a number of detection time periods, obtain the deviation coefficient and uniformity coefficient of the detection time period, compare the deviation coefficient and uniformity coefficient with the preset deviation threshold and uniformity threshold respectively, and judge whether the power generation state of the integrated photovoltaic storage and charging device in the detection cycle meets the requirements through the comparison results;

[0011] The abnormal analysis module is used to analyze the abnormal power generation state of the integrated photovoltaic storage and charging device.

[0012] As a preferred embodiment of the present invention, the process of obtaining the light coefficient GZ includes: obtaining the light intensity data GQ, radiation data FS and temperature data WD of the photovoltaic power generation area at the test time point and performing numerical calculations to obtain the light coefficient GZ of the photovoltaic power generation area at the test time point; the light intensity data GQ is the light 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 invention, the process of obtaining the deviation coefficient and uniformity coefficient of the detection period includes: the duration of the detection period is equal to the duration of the test period; a number of detection time points are set within the detection period, the light intensity data GQ, radiation data FS and temperature data WD of the photovoltaic power generation area of ​​the integrated photovoltaic storage and charging device at the detection time point are obtained and numerical calculations are performed to obtain the illumination coefficient GZ, the illumination coefficients GZ of all detection time points within the detection period are summed and averaged to obtain the detection value of the detection period, the power generation range of the illumination interval corresponding to the detection value is retrieved, 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 integrated photovoltaic storage and charging device within the detection period and the standard value is marked as the deviation value, the deviation values ​​of all detection periods within the detection cycle are summed and averaged to obtain the deviation coefficient of the detection cycle, and the variance of the deviation values ​​of all detection periods within the detection cycle is calculated to obtain the uniformity coefficient.

[0014] As a preferred embodiment of the present invention, 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 smaller than the deviation threshold and the uniformity coefficient is smaller than the uniformity threshold, it is determined that the power generation state of the integrated photovoltaic storage and charging device within the detection period meets the requirements; otherwise, it is determined that the power generation state of the integrated photovoltaic storage and charging device within 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 invention, the specific process of the abnormal analysis module analyzing the abnormal power generation state of the photovoltaic storage and charging integrated device includes: taking infrared images of the photovoltaic power generation area of ​​the photovoltaic storage and charging integrated device, marking the obtained infrared images as analysis images, dividing the analysis images into several analysis areas according to the distribution of photovoltaic panels, obtaining the temperature values ​​of the analysis areas and performing variance calculation on the temperature values ​​of all analysis areas to obtain the overall coefficient, and comparing the overall coefficient with a preset overall threshold: if the overall coefficient is less than the overall threshold, an overall shadow signal is generated and 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; and the abnormal areas are analyzed centrally.

[0016] As a preferred embodiment of the present invention, the specific process of centralized analysis of abnormal areas includes: randomly selecting an abnormal area and marking it as the central area, obtaining the distance value between the center point of the central area and the center points of all remaining abnormal areas and summing and averaging them to obtain the centralized value of the central area; then selecting the next abnormal area as the central area and obtaining the centralized value of the central area again, and so on, until all abnormal areas are used as central areas to obtain centralized values, summing and averaging all centralized values ​​to obtain a centralized coefficient, and comparing the centralized coefficient with a preset centralized threshold: if the centralized coefficient is less than the centralized threshold, a regional shadow signal is generated and the regional shadow signal is sent to the mobile phone terminal of the administrator; if the centralized coefficient is greater than or equal to the centralized threshold, the photovoltaic panel corresponding to the abnormal area is marked as an abnormal object, a component abnormal signal is generated, and the component abnormal signal and the abnormal object are sent to the mobile phone terminal of the administrator.

[0017] As a preferred embodiment of the present invention, the working method of the operation detection and early warning system applicable to the integrated photovoltaic storage and charging equipment comprises the following steps:

[0018] Step 1: Test and analyze the power generation of the photovoltaic storage and charging integrated device: generate a test cycle and divide the test cycle into several test time periods, obtain the light value of the test time period, and the maximum light value and the minimum light value of the test time period in the test cycle constitute the light range, divide the light range into several light intervals, and the minimum power generation value and the minimum value of the test time period whose light value is within the light interval constitute the power generation range of the light interval;

[0019] Step 2: Detect and analyze the power generation status of the integrated photovoltaic storage and charging device: generate a detection cycle and divide the detection cycle into several detection time periods, obtain the deviation value of the detection time period, perform numerical calculations on the deviation values ​​of all detection time periods within the detection cycle to obtain the deviation coefficient and uniformity coefficient, and use the deviation coefficient and uniformity coefficient to determine whether the power generation status of the integrated photovoltaic storage and charging device within the detection cycle meets the requirements;

[0020] Step 3: Analyze the abnormal power generation status of the integrated photovoltaic storage and charging equipment: Take infrared images of the photovoltaic power generation area of ​​the integrated photovoltaic storage and charging equipment, mark the obtained infrared images as analysis images, divide the analysis images into several analysis areas according to the distribution of photovoltaic panels, mark the analysis areas as normal areas or abnormal areas according to the temperature values ​​of the analysis areas, conduct centralized analysis on the abnormal areas, generate regional shadow signals or component abnormal signals, and send them to the mobile phone terminals of the managers.

[0021] The present invention has the following beneficial effects:

[0022] 1. The power generation test module can be used to test and analyze the power generation of the photovoltaic storage and charging integrated equipment, collect and count the parameters that affect the photovoltaic power generation, and then generate a power generation comparison basis based on the power generation and light value during the test period, providing data support for the power generation detection process;

[0023] 2. The power generation detection module can detect and analyze the power generation status of the photovoltaic storage and charging integrated device, analyze and calculate the deviation values ​​of all detection periods within the detection cycle to obtain the deviation coefficient and uniformity coefficient, and issue a timely warning when abnormal power generation of the photovoltaic storage and charging integrated device occurs within the detection cycle;

[0024] 3. The abnormal power generation status of the integrated photovoltaic storage and charging equipment can be analyzed through the abnormal analysis module, and infrared images of the photovoltaic power generation area of ​​the integrated photovoltaic storage and charging equipment can be taken. 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 decision-making of power generation abnormality processing and improving the efficiency of abnormal processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative work.

[0026] Figure 1 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 solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0029] Embodiment 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 to test and analyze the power generation of the photovoltaic storage and charging integrated device: generate a test cycle and divide the test cycle into several test time periods, set several test time points in the test period, and obtain the light intensity data GQ, radiation data FS and temperature data WD of the photovoltaic power generation area of ​​the photovoltaic storage and charging integrated device at the test time point; the light intensity data GQ is the light 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 light coefficient GZ of the photovoltaic power generation area at the test time point is obtained by the formula GZ=α1*GQ+α2*FS+α3*WD. , where α1, α2 and α3 are all proportional coefficients, and α1>α2>α3>1; the illumination coefficient GZ of all test time points in the test period is summed and averaged to obtain the illumination value of the test period, the illumination range is composed of the maximum illumination value and the minimum illumination value of the test period in the test cycle, and the illumination range is divided into several illumination intervals, and the minimum power generation value and the minimum value of the test period in which the illumination value is within the illumination interval constitute the power generation range of the illumination interval; the power generation of the integrated photovoltaic storage and charging equipment is tested and analyzed, the parameters affecting the photovoltaic power generation are collected and counted, and then the power generation comparison basis is generated according to the power generation and illumination value in the test cycle, providing data support for the power generation detection process.

[0032] The power generation detection module is used to detect and analyze the power generation status of the photovoltaic storage and charging integrated device: generate a detection cycle and divide the detection cycle into several detection time periods, the length of the detection period is equal to the length of the test period; set several detection time points in the detection period, obtain the light intensity data GQ, radiation data FS and temperature data WD of the photovoltaic power generation area of ​​the photovoltaic storage and charging integrated device at the detection time point, and perform numerical calculations to obtain the light coefficient GZ, sum and average the light coefficients GZ of all detection time points in the detection period to obtain the detection value of the detection period, call the power generation range of the detection value corresponding to the illumination interval, mark the average of the maximum and minimum values ​​of the power generation range as the standard value, mark the absolute value of the difference between the power generation of the photovoltaic storage and charging integrated device in the detection period and the standard value as the deviation value, and perform a total of all detections in the detection period. The deviation values ​​of the time periods are summed and averaged to obtain the deviation coefficient of the detection period, the variance of the deviation values ​​of all detection time periods within the detection period is calculated to obtain the uniformity coefficient, and the deviation coefficient and uniformity coefficient are compared with the preset deviation threshold and 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 photovoltaic storage and charging equipment within the detection period meets the requirements; otherwise, it is determined that the power generation state of the photovoltaic storage and charging equipment within the detection period does not meet the requirements, and an abnormal analysis signal is generated and sent to the abnormal analysis module; the power generation state of the photovoltaic storage and charging equipment is detected and analyzed, and the deviation values ​​of all detection time periods within the detection period are analyzed and calculated to obtain the deviation coefficient and uniformity coefficient, and timely warning is issued when abnormal power generation of the photovoltaic storage and charging equipment occurs within the detection period.

[0033] The abnormal analysis module is used to analyze the abnormal power generation status of the integrated photovoltaic storage and charging equipment: take infrared images of the photovoltaic power generation area of ​​the integrated photovoltaic storage and charging equipment, mark the obtained infrared images as analysis images, divide the analysis images into several analysis areas according to the distribution of photovoltaic panels, obtain the temperature values ​​of the analysis areas, and calculate the variance of the temperature values ​​of all analysis areas to obtain the overall coefficient, and compare the overall coefficient with the preset overall threshold: if the overall coefficient is less than the overall threshold, generate an overall shadow signal and send the overall shadow signal to the mobile phone terminal of the administrator; if the overall coefficient is greater than or equal to the overall threshold, compare the temperature value of the analysis area with the preset temperature threshold: if the temperature value is less than the temperature threshold, mark the corresponding analysis area as an abnormal area; if the temperature value is greater than or equal to the temperature threshold, mark the corresponding analysis area as a normal area; conduct centralized analysis of abnormal areas: randomly select an abnormal area and mark it as the central area, obtain the distance value between the center point of the central area and the center points of all remaining abnormal areas, and sum and average them. The concentration value of the central area is obtained by calculating the value; then the next abnormal area is selected as the central area and the concentration value of the central area is obtained again, and so on, until all the abnormal areas are used as the central areas to obtain the concentration value, and all the concentration values ​​are summed and averaged to obtain the concentration coefficient, and the concentration coefficient 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 abnormal signal is generated, and the component abnormal signal and the abnormal object are sent to the mobile phone terminal of the administrator; the abnormal power generation state of the integrated photovoltaic storage and charging equipment is analyzed, and infrared images of the photovoltaic power generation area of ​​the integrated photovoltaic storage and charging equipment are 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, so as to provide a reference direction for the power generation abnormality processing decision and improve the efficiency of abnormal processing.

[0034] Embodiment 2

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

[0036] Step 1: Test and analyze the power generation of the photovoltaic storage and charging integrated device: generate a test cycle and divide the test cycle into several test time periods, obtain the light value of the test time period, and the maximum light value and the minimum light value of the test time period in the test cycle constitute the light range, divide the light range into several light intervals, and the minimum power generation value and the minimum value of the test time period whose light value is within the light interval constitute the power generation range of the light interval;

[0037] Step 2: Detect and analyze the power generation status of the integrated photovoltaic storage and charging device: generate a detection cycle and divide the detection cycle into several detection time periods, obtain the deviation value of the detection time period, perform numerical calculations on the deviation values ​​of all detection time periods within the detection cycle to obtain the deviation coefficient and uniformity coefficient, and use the deviation coefficient and uniformity coefficient to determine whether the power generation status of the integrated photovoltaic storage and charging device within the detection cycle meets the requirements;

[0038] Step 3: Analyze the abnormal power generation status of the integrated photovoltaic storage and charging equipment: Take infrared images of the photovoltaic power generation area of ​​the integrated photovoltaic storage and charging equipment, mark the obtained infrared images as analysis images, divide the analysis images into several analysis areas according to the distribution of photovoltaic panels, mark the analysis areas as normal areas or abnormal areas according to the temperature values ​​of the analysis areas, conduct centralized analysis on the abnormal areas, generate regional shadow signals or component abnormal signals, and send them to the mobile phone terminals of the managers.

[0039] The invention discloses an operation detection and early warning system for a photovoltaic storage and charging integrated device. When the system is in operation, a test cycle is generated and divided into several test time periods, the illumination value of the test time period is obtained, the illumination range is formed by the maximum illumination value and the minimum illumination value of the test time period within the test cycle, the illumination range is divided into several illumination intervals, and the power generation range of the illumination interval is formed by the minimum power generation value and the minimum value of the test time period whose illumination value is within the illumination interval; a detection cycle is generated and divided into several detection time periods, the deviation value of the detection time period is obtained, the deviation coefficient and the uniformity coefficient are numerically calculated for the deviation values ​​of all detection time periods within the detection cycle, and whether the power generation state of the photovoltaic storage and charging integrated device within the detection cycle meets the requirements is determined by the deviation coefficient and the uniformity coefficient; an infrared image is taken of the photovoltaic power generation area of ​​the photovoltaic storage and charging integrated device, the obtained infrared image is marked as an analysis image, the analysis image is divided into several analysis areas according to the distribution of photovoltaic panels, the analysis area is marked as a normal area or an abnormal area by the temperature value of the analysis area, the abnormal area is centrally analyzed, and a regional shadow signal or a component abnormal signal is generated and sent to a mobile phone terminal of a manager.

[0040] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0041] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: formula GZ = α1*GQ+α2*FS+α3*WD; technicians in this field collect multiple groups of sample data and set corresponding illumination coefficients for each group of sample data; substitute the set illumination coefficients and the collected sample data into the formula, any three formulas constitute a three-variable linear equation group, screen the calculated coefficients and take the average, and obtain the values ​​of α1, α2 and α3, which are 4.43, 2.85 and 2.12 respectively;

[0042] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the initial setting of the corresponding illumination coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the illumination coefficient is proportional to the value of the light intensity data.

[0043] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. 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 invention. In this specification, the schematic representation 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 present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An operation detection and early warning system suitable for integrated photovoltaic storage and charging equipment, characterized in that: It includes 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; The power generation test module is used to test and analyze the power generation of the photovoltaic storage and charging integrated device: generate a test cycle and divide the test cycle into a number of test time periods, set a number of test time points in the test period, and obtain the light coefficient GZ of the photovoltaic power generation area of ​​the photovoltaic storage and charging integrated device at the test time point; sum and average the light coefficients GZ of all test time points in the test period to obtain the light value of the test period, and the maximum light value and the minimum light value of the test period in the test cycle constitute the light range, divide the light range into a number of light intervals, and the minimum value and the minimum value of the power generation of the test period whose light value is within the light interval constitute the power generation range of the light interval; The power generation detection module is used to detect and analyze the power generation state of the integrated photovoltaic storage and charging device: generate a detection cycle and divide the detection cycle into a number of detection time periods, obtain the deviation coefficient and uniformity coefficient of the detection time period, compare the deviation coefficient and uniformity coefficient with the preset deviation threshold and uniformity threshold respectively, and judge whether the power generation state of the integrated photovoltaic storage and charging device in the detection cycle meets the requirements through the comparison results; The abnormal analysis module is used to analyze the abnormal power generation state of the integrated photovoltaic storage and charging device.

2. According to claim 1, an operation detection and early warning system suitable for integrated photovoltaic storage and charging equipment is characterized in that: The process of obtaining the light coefficient GZ includes: obtaining the light intensity data GQ, radiation data FS and temperature data WD of the photovoltaic power generation area at the test time point and performing numerical calculations to obtain the light coefficient GZ of the photovoltaic power generation area at the test time point; the light intensity data GQ is the light 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.

3. The operation detection and early warning system for integrated photovoltaic storage and charging equipment according to claim 2 is characterized in that: The process of obtaining the deviation coefficient and uniformity coefficient of the detection period includes: the duration of the detection period is equal to the duration of the test period; several detection time points are set within the detection period, the light intensity data GQ, radiation data FS and temperature data WD of the photovoltaic power generation area of ​​the photovoltaic storage and charging integrated device at the detection time point are obtained and numerical calculations are performed to obtain the light coefficient GZ, the light coefficients GZ of all detection time points within the detection period are summed and averaged to obtain the detection value of the detection period, the power generation range of the illumination interval corresponding to the detection value is retrieved, 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 photovoltaic storage and charging integrated device within the detection period and the standard value is marked as the deviation value, the deviation values ​​of all detection periods within the detection cycle are summed and averaged to obtain the deviation coefficient of the detection cycle, and the variance of the deviation values ​​of all detection periods within the detection cycle is calculated to obtain the uniformity coefficient.

4. The operation detection and early warning system for integrated photovoltaic storage and charging equipment according to claim 3 is characterized in that: 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 smaller than the deviation threshold and the uniformity coefficient is smaller than the uniformity threshold, it is determined that the power generation state of the integrated photovoltaic storage and charging device during the detection period meets the requirements; otherwise, it is determined that the power generation state of the integrated photovoltaic storage and charging device during 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 for integrated photovoltaic storage and charging equipment according to claim 4 is characterized in that: The specific process of the abnormal analysis module analyzing the abnormal power generation state of the photovoltaic storage and charging integrated device includes: taking infrared images of the photovoltaic power generation area of ​​the photovoltaic storage and charging integrated device, marking the obtained infrared images as analysis images, dividing the analysis images into several analysis areas according to the distribution of photovoltaic panels, obtaining the temperature values ​​of the analysis areas and performing variance calculation on the temperature values ​​of all analysis areas to obtain the overall coefficient, and comparing the overall coefficient with the preset overall threshold: if the overall coefficient is less than the overall threshold, an overall shadow signal is generated and 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; and the abnormal areas are analyzed centrally.

6. The operation detection and early warning system for integrated photovoltaic storage and charging equipment according to claim 5 is characterized in that: The specific process of centralized analysis of abnormal areas includes: randomly selecting an abnormal area and marking it as the central area, obtaining the distance value between the center point of the central area and the center points of all remaining abnormal areas and summing and averaging them to obtain the centralized value of the central area; then selecting the next abnormal area as the central area and obtaining the centralized value of the central area again, and so on, until all abnormal areas are used as central areas to obtain centralized values, summing and averaging all centralized values ​​to obtain the centralized coefficient, and comparing the centralized coefficient with the preset centralized threshold: if the centralized coefficient is less than the centralized threshold, a regional shadow signal is generated and the regional shadow signal is sent to the mobile phone terminal of the administrator; if the centralized coefficient is greater than or equal to the centralized threshold, the photovoltaic panel corresponding to the abnormal area is marked as an abnormal object, a component abnormal signal is generated, and the component abnormal signal and the abnormal object are sent to the mobile phone terminal of the administrator.

7. An operation detection and early warning system for integrated photovoltaic storage and charging equipment according to any one of claims 1 to 6, characterized in that: The working method of the operation detection and early warning system applicable to the integrated photovoltaic storage and charging equipment comprises the following steps: Step 1: Test and analyze the power generation of the photovoltaic storage and charging integrated device: generate a test cycle and divide the test cycle into several test time periods, obtain the light value of the test time period, and the maximum light value and the minimum light value of the test time period in the test cycle constitute the light range, divide the light range into several light intervals, and the minimum power generation value and the minimum value of the test time period whose light value is within the light interval constitute the power generation range of the light interval; Step 2: Detect and analyze the power generation status of the integrated photovoltaic storage and charging device: generate a detection cycle and divide the detection cycle into several detection time periods, obtain the deviation value of the detection time period, perform numerical calculations on the deviation values ​​of all detection time periods within the detection cycle to obtain the deviation coefficient and uniformity coefficient, and use the deviation coefficient and uniformity coefficient to determine whether the power generation status of the integrated photovoltaic storage and charging device within the detection cycle meets the requirements; Step 3: Analyze the abnormal power generation status of the integrated photovoltaic storage and charging equipment: Take infrared images of the photovoltaic power generation area of ​​the integrated photovoltaic storage and charging equipment, mark the obtained infrared images as analysis images, divide the analysis images into several analysis areas according to the distribution of photovoltaic panels, mark the analysis areas as normal areas or abnormal areas according to the temperature values ​​of the analysis areas, conduct centralized analysis on the abnormal areas, generate regional shadow signals or component abnormal signals, and send them to the mobile phone terminals of the managers.

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