Photovoltaic field fire early warning system

Abstract

The invention relates to the technical field of fire early warning, and particularly discloses a photovoltaic field fire early warning system, which comprises a hidden danger acquisition module used for acquiring photovoltaic field image data and extracting hidden danger image data of a photovoltaic field according to the photovoltaic field image data; the danger detection module is used for acquiring the infrared image data of the photovoltaic field area and determining the assembly danger coefficient of the photovoltaic assembly in the photovoltaic field area according to the infrared image data of the photovoltaic field area; the early warning calculation module is used for establishing an early warning point radiation range image according to the assembly danger coefficient of the photovoltaic assembly, and determining a fire early warning coefficient of the photovoltaic field area according to the early warning point radiation range image; and the early warning generation module is used for determining a fire early warning grade according to the fire early warning coefficient of the photovoltaic field area and performing fire early warning according to the fire early warning grade. According to the invention, fire hazards of the surrounding environment of the photovoltaic field are comprehensively considered, fire early warning can be carried out in time, and the probability of fire accidents in the photovoltaic field is greatly reduced.

Description

Technical Field

[0001] The present application relates to the field of fire warning technology, and more specifically, to a photovoltaic field fire warning system. Background Art

[0002] Photovoltaic power generation is a greener, more environmentally friendly and energy-saving power generation method after thermal power, hydropower, nuclear power and wind power generation, and is also one of the main trends in the development of new energy power technology. The maintenance of photovoltaic fields is a very complex project. When photovoltaic modules are affected by high temperature, mechanical damage, etc., they may cause fires, which not only threaten people's lives and safety, but also cause property losses;

[0003] Large centralized photovoltaic power stations occupy a large area, have a large number of photovoltaic modules, complex terrain in photovoltaic areas, and vigorous weed growth. Fire prevention has become the top priority of daily operation and maintenance. Once a fire occurs, it will cause huge economic losses if it is not discovered in time. In the existing technology, fire early warning monitoring of photovoltaic areas is limited to the temperature changes of the photovoltaic modules themselves, without comprehensively considering the fire hazards caused by the surrounding environment of the photovoltaic modules. The monitoring effect is poor, resulting in insufficient timely fire warning. Summary of the invention

[0004] The present invention provides a photovoltaic field fire warning system to solve the problem of poor photovoltaic field fire warning monitoring effect in the prior art, comprising:

[0005] A hidden danger acquisition module is used to acquire the image data of the photovoltaic field area, and extract the hidden danger image data of the photovoltaic field area according to the image data of the photovoltaic field area;

[0006] A danger detection module is used to obtain infrared image data of the photovoltaic field area, and determine the component danger factor of the photovoltaic components in the photovoltaic field area according to the infrared image data of the photovoltaic field area;

[0007] An early warning calculation module is used to establish an early warning point radiation range image according to the component risk factor of the photovoltaic components, and determine the fire early warning coefficient of the photovoltaic field area according to the early warning point radiation range image;

[0008] The warning generation module is used to determine the fire warning level according to the fire warning coefficient of the photovoltaic field area and to issue a fire warning according to the fire warning level.

[0009] Furthermore, the hidden danger acquisition module extracts hidden danger image data of the photovoltaic field area according to the photovoltaic field area image data, including:

[0010] Preprocessing the photovoltaic field image data to obtain a preprocessed photovoltaic field image, wherein the preprocessing method includes grayscale and high-pass filtering;

[0011] Obtaining a preset grid, and segmenting the preprocessed photovoltaic field image according to the preset grid to obtain a plurality of photovoltaic field image blocks;

[0012] Based on the canny edge detection algorithm, edge detection is performed on the photovoltaic field image block, and multiple closed areas in the photovoltaic field image block are extracted according to the edge detection results;

[0013] Calculate the rectangular fitting degree of each closed area, and screen out the potential danger areas in the closed area according to the rectangular fitting degree of each closed area;

[0014] All potential danger areas of the photovoltaic field image are merged to obtain potential danger image data of the photovoltaic field.

[0015] Furthermore, the calculation of the rectangular fit of each closed area and the screening of the potential danger areas in the closed area according to the rectangular fit of each closed area include:

[0016] Obtain the minimum circumscribed rectangle of each closed area, calculate the ratio of the area of ​​the closed area to the area of ​​the corresponding minimum circumscribed rectangle, and obtain the rectangular fitting degree of the closed area;

[0017] A closed area whose rectangular fitting degree is less than a first preset threshold is screened out, and the closed area whose rectangular fitting degree is less than the first preset threshold is set as a hidden danger area.

[0018] Furthermore, the danger detection module determines the component danger factor of the photovoltaic components in the photovoltaic field area according to the infrared image data of the photovoltaic field area, including:

[0019] Preprocessing the infrared image data of the photovoltaic field area to obtain a preprocessed infrared image of the photovoltaic field area, and extracting a photovoltaic module image of the preprocessed infrared image of the photovoltaic field area;

[0020] Obtaining the grayscale value of each pixel in the photovoltaic component image, screening out the pixel whose grayscale value is greater than a second preset threshold, and setting the pixel whose grayscale value is greater than the second preset threshold as a high-temperature pixel;

[0021] Calculate the ratio of the area of ​​all high-temperature pixels to the area of ​​the photovoltaic module image, and determine the high-temperature abnormal value of the photovoltaic module according to the ratio of the area of ​​all high-temperature pixels to the area of ​​the photovoltaic module image;

[0022] The environmental dryness around the current photovoltaic module is obtained, the high temperature abnormal value is corrected according to the environmental dryness, and the module risk factor is determined according to the corrected high temperature abnormal value.

[0023] Furthermore, determining the component risk factor according to the corrected high temperature abnormal value includes:

[0024] Obtain the change of the high temperature abnormal value of the photovoltaic module, and draw a high temperature abnormal value change curve according to the change of the high temperature abnormal value of the photovoltaic module;

[0025] Perform curve fitting on the high temperature anomaly value variation curve to obtain the high temperature anomaly value prediction curve;

[0026] The rise time for the high temperature abnormal value to rise to the third preset threshold is determined according to the high temperature abnormal value prediction curve, and the component risk factor is determined according to the rise time for the high temperature abnormal value to rise to the third preset threshold.

[0027] Further, the determining of the component risk factor according to the rise time of the high temperature abnormal value rising to the third preset threshold value includes:

[0028] The component risk factor is calculated according to the risk factor calculation formula, and the risk factor calculation formula is specifically:

[0029]

[0030] Wherein, D is the component risk factor, T is the current high temperature abnormality value of the photovoltaic component, T0 is the preset allowable high temperature abnormality value, S is the rising time for the high temperature abnormality value to rise to the third preset threshold value, and S0 is the preset allowable time.

[0031] Furthermore, the early warning calculation module establishes an early warning point radiation range image according to the component risk factor of the photovoltaic component, including:

[0032] Screening out photovoltaic components whose component risk factor is greater than a fourth preset threshold value in the infrared image of the photovoltaic field area, setting the photovoltaic components whose component risk factor is greater than the fourth preset threshold value as warning points, and marking the warning points in the hidden danger image data;

[0033] Obtain the component risk factor of each warning point, and convert the component risk factor into a line segment according to a preset ratio;

[0034] With the warning point as the center and the corresponding line segment length as the radius, a circle is drawn in the hidden danger image data to obtain the radiation range image of the warning point.

[0035] Furthermore, the warning calculation module determines the fire warning coefficient of the photovoltaic field area according to the warning point radiation range image, including:

[0036] Obtain a preset minimum component risk factor, and set the range from the component risk factor of each warning point to the minimum component risk factor as the risk level from the center of each warning point to the circumference of the circle in the warning point radiation range image;

[0037] Obtain the distance from the hidden danger area within the circumference of the warning point to the warning point, and determine the danger level of the hidden danger area according to the distance from the hidden danger area to the warning point;

[0038] Obtain the area value of the hidden danger area, calculate the ratio of the area value of the hidden danger area to the preset allowable area value, and obtain the correction value of the early warning coefficient;

[0039] The fire warning coefficient of the hidden danger area is obtained by multiplying the correction value of the early warning coefficient by the danger level of the hidden danger area;

[0040] The sum of the fire warning coefficients of all hidden danger areas in the radiation range image of the warning point is calculated to obtain the fire warning coefficient of the photovoltaic field.

[0041] Furthermore, the warning generation module determines the fire warning level according to the fire warning coefficient of the photovoltaic field, including:

[0042] Obtaining a preset allowable fire warning coefficient, and calculating the difference between the fire warning coefficient of the photovoltaic field and the preset allowable fire warning coefficient;

[0043] Determine whether the difference between the fire warning coefficient and the preset allowable fire warning coefficient is greater than a fifth preset threshold value, and if the difference between the fire warning coefficient and the preset allowable fire warning coefficient is greater than the fifth preset threshold value, determine the first level as the warning level of the photovoltaic field area;

[0044] If the difference between the fire warning coefficient and the preset allowable fire warning coefficient is less than or equal to the fifth preset threshold, determining whether the difference between the fire warning coefficient and the preset allowable fire warning coefficient is greater than the sixth preset threshold;

[0045] If the difference between the fire warning coefficient and the preset permissible fire warning coefficient is greater than the sixth preset threshold, the second level is determined as the warning level of the photovoltaic field area;

[0046] If the difference between the fire warning coefficient and the preset allowable fire warning coefficient is less than or equal to the sixth preset threshold, the third level is determined as the warning level of the photovoltaic field area.

[0047] Furthermore, the warning generation module performs fire warning according to the fire warning level, including:

[0048] If the warning level of the photovoltaic field is the first level, a high-risk fire warning will be issued;

[0049] If the warning level of the photovoltaic field is the second level, a fire protection warning will be issued;

[0050] If the warning level of the photovoltaic field is the third level, no fire warning will be issued.

[0051] The beneficial effects of the present invention are:

[0052] By applying the above technical scheme, the present invention comprehensively considers the fire hazard areas in the environment around the photovoltaic field, timely detects the fire hazard situation around the high-temperature photovoltaic components and issues fire warnings. The monitoring efficiency is high and the effect is significant, which greatly reduces the probability of fire accidents in the photovoltaic field and ensures the safe operation of the photovoltaic power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0054] Figure 1 The figure shows the overall structure of a photovoltaic field fire warning system proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0056] The present application embodiment provides a photovoltaic field fire warning system, such as Figure 1 As shown, including:

[0057] The hidden danger acquisition module is used to acquire the image data of the photovoltaic area and extract the hidden danger image data of the photovoltaic area based on the image data of the photovoltaic area; the danger detection module is used to acquire the infrared image data of the photovoltaic area and determine the component danger coefficient of the photovoltaic components in the photovoltaic area based on the infrared image data of the photovoltaic area; the early warning calculation module is used to establish the radiation range image of the early warning point according to the component danger coefficient of the photovoltaic components and determine the fire early warning coefficient of the photovoltaic area based on the radiation range image of the early warning point; the early warning generation module is used to determine the fire warning level according to the fire warning coefficient of the photovoltaic area and issue a fire warning according to the fire warning level.

[0058] In this embodiment, by configuring fire prevention cameras and infrared cameras around the photovoltaic area, image data and infrared image data of the photovoltaic area are obtained, and the fire hazard areas such as weeds and fallen leaves around the photovoltaic components are detected through the photovoltaic area image data and hazard image data are generated. The temperature changes of the photovoltaic components are monitored through the infrared image data of the photovoltaic area, and the high temperature warning points of the photovoltaic components are monitored and the radiation range image of the warning points is established, so as to obtain the fire warning level of the photovoltaic area and perform a fire warning.

[0059] In some embodiments of the present application, the hidden danger acquisition module extracts hidden danger image data of the photovoltaic field area based on the photovoltaic field area image data, including: preprocessing the photovoltaic field area image data to obtain a preprocessed photovoltaic field area image, wherein the preprocessing method includes grayscale and high-pass filtering; obtaining a preset grid, and segmenting the preprocessed photovoltaic field area image according to the preset grid to obtain a number of photovoltaic field area image blocks; performing edge detection on the photovoltaic field area image block based on the canny edge detection algorithm, and extracting multiple closed areas in the photovoltaic field area image block according to the edge detection result; calculating the rectangular fit of each closed area, and screening out the hidden danger area in the closed area according to the rectangular fit of each closed area; merging all hidden danger areas of the photovoltaic field area image to obtain the hidden danger image data of the photovoltaic field area.

[0060] In this embodiment, the photovoltaic field image data is grayed and then high-pass filtered to retain more high-frequency information of the image, which is convenient for subsequent edge detection of the image. The pre-processed photovoltaic field image is segmented by a preset grid, and the size of the preset grid is set according to the number of photovoltaic modules in the photovoltaic field. The larger the number, the larger the preset grid. Based on the canny edge detection algorithm, multiple closed areas in the photovoltaic field image block are extracted. The closed areas specifically include photovoltaic modules and fire hazards such as weeds and fallen leaves. Since these fire hazards are irregular, all hidden danger areas are screened out by rectangular fitting, thereby obtaining the hidden danger image data of the entire photovoltaic field. The hidden danger image data includes the photovoltaic modules of the photovoltaic field and all the surrounding hidden danger areas.

[0061] In some embodiments of the present application, the rectangular fit of each closed area is calculated, and the hidden danger area in the closed area is screened out according to the rectangular fit of each closed area, including: obtaining the minimum circumscribed rectangle of each closed area, calculating the ratio of the area of ​​the closed area to the area of ​​the corresponding minimum circumscribed rectangle, and obtaining the rectangular fit of the closed area; screening out the closed area whose rectangular fit is less than a first preset threshold, and setting the closed area whose rectangular fit is less than the first preset threshold as a hidden danger area.

[0062] In this embodiment, the rectangular fit of the closed area is calculated by the ratio of the area of ​​the closed area to the area of ​​the corresponding minimum circumscribed rectangle, so that the hidden danger area smaller than the first preset threshold can be accurately screened out.

[0063] In some embodiments of the present application, the danger detection module determines the component danger coefficient of the photovoltaic components in the photovoltaic field area based on the infrared image data of the photovoltaic field area, including: preprocessing the infrared image data of the photovoltaic field area to obtain the preprocessed infrared image of the photovoltaic field area, and extracting the photovoltaic component image of the preprocessed infrared image of the photovoltaic field area; obtaining the grayscale value of each pixel in the photovoltaic component image, screening out the pixel points with a grayscale value greater than a second preset threshold, and setting the pixel points with a grayscale value greater than the second preset threshold as high-temperature pixel points; calculating the ratio of the area of ​​all high-temperature pixel points to the area of ​​the photovoltaic component image, and determining the high-temperature abnormality value of the photovoltaic component according to the ratio of the area of ​​all high-temperature pixel points to the area of ​​the photovoltaic component image; obtaining the environmental dryness around the current photovoltaic component, correcting the high-temperature abnormality value according to the environmental dryness, and determining the component danger coefficient according to the corrected high-temperature abnormality value.

[0064] In this embodiment, the infrared image of the photovoltaic field is grayed and high-pass filtered, and the photovoltaic module image is extracted based on edge detection. The high-temperature pixels are extracted through the grayscale value of the photovoltaic module image and the high-temperature anomaly value is calculated. At the same time, the environmental dryness around the photovoltaic module is detected, the environmental dryness is standardized and multiplied by the high-temperature anomaly value to obtain the corrected high-temperature anomaly value.

[0065] In some embodiments of the present application, determining the component risk factor based on the corrected high temperature abnormality value includes: obtaining the change of the high temperature abnormality value of the photovoltaic component, and drawing a high temperature abnormality value change curve according to the change of the high temperature abnormality value of the photovoltaic component; performing curve fitting on the high temperature abnormality value change curve to obtain a high temperature abnormality value prediction curve; determining the rise time for the high temperature abnormality value to rise to a third preset threshold value according to the high temperature abnormality value prediction curve, and determining the component risk factor according to the rise time for the high temperature abnormality value to rise to the third preset threshold value.

[0066] In some embodiments of the present application, determining the component risk factor according to the rise time of the high temperature abnormal value rising to the third preset threshold value includes: calculating the component risk factor according to a risk factor calculation formula, and the risk factor calculation formula is specifically,

[0067]

[0068] Wherein, D is the component risk factor, T is the current high temperature abnormality value of the photovoltaic component, T0 is the preset allowable high temperature abnormality value, S is the rising time for the high temperature abnormality value to rise to the third preset threshold value, and S0 is the preset allowable time.

[0069] In this embodiment, the high temperature abnormal value variation curve is fitted by the least square method to achieve the prediction of the high temperature abnormal value, and the component risk factor is determined by the rise time of the high temperature abnormal value rising to the third preset threshold.

[0070] In some embodiments of the present application, the early warning calculation module establishes a radiation range image of the early warning point based on the component risk coefficient of the photovoltaic component, including: screening out photovoltaic components in the infrared image of the photovoltaic field area whose component risk coefficient is greater than a fourth preset threshold, setting the photovoltaic components whose component risk coefficient is greater than the fourth preset threshold as early warning points, and marking the early warning points in the hidden danger image data; obtaining the component risk coefficient of each early warning point, and converting the component risk coefficient into a line segment according to a preset ratio; drawing a circle in the hidden danger image data with the warning point as the center and the corresponding line segment length as the radius to obtain the radiation range image of the warning point.

[0071] In this embodiment, the warning points in the infrared image of the photovoltaic field are screened out and the warning points are marked in the hidden danger image data. At the same time, a circle is drawn with each warning point as the center and the line segment converted from the component hazard factor corresponding to each warning point as the radius, thereby drawing an image of the radiation range of the warning point.

[0072] In some embodiments of the present application, the warning calculation module determines the fire warning coefficient of the photovoltaic field area based on the radiation range image of the warning point, including: obtaining a preset minimum component risk coefficient, and setting the range of the component risk coefficient of each warning point to the minimum component risk coefficient as the risk degree from the center of each warning point to the circumference of the warning point in the radiation range image of the warning point; obtaining the distance from the hidden danger area within the circumference of the warning point to the warning point, and determining the risk degree of the hidden danger area based on the distance from the hidden danger area to the warning point; obtaining the area value of the hidden danger area, calculating the ratio of the area value of the hidden danger area to the preset allowable area value, and obtaining a warning coefficient correction value; multiplying the warning coefficient correction value by the risk degree of the hidden danger area to obtain the fire warning coefficient of the hidden danger area; calculating the sum of the fire warning coefficients of all hidden danger areas in the radiation range image of the warning point to obtain the fire warning coefficient of the photovoltaic field area.

[0073] In this embodiment, the range of component risk coefficients to the lowest component risk coefficient is spread from the center of the warning point to the circumference in order from large to small, forming a risk degree radiation diagram. The closer to the center of the circle, the greater the risk degree, thereby obtaining the risk degree from the center of each warning point to the circumference. The corresponding risk degree is obtained by the distance from the hidden danger area to the nearest warning point. The risk degree of the hidden danger area is corrected by the ratio of the area value of the hidden danger area to the preset allowable area value, thereby obtaining the fire warning coefficient of the hidden danger area, and then the fire warning coefficient of the photovoltaic field area is obtained by summing.

[0074] In some embodiments of the present application, the warning generation module determines the fire warning level according to the fire warning coefficient of the photovoltaic area, including: obtaining a preset allowable fire warning coefficient, calculating the difference between the fire warning coefficient of the photovoltaic area and the preset allowable fire warning coefficient; judging whether the difference between the fire warning coefficient and the preset allowable fire warning coefficient is greater than a fifth preset threshold value, if the difference between the fire warning coefficient and the preset allowable fire warning coefficient is greater than the fifth preset threshold value, then determining the first level as the warning level of the photovoltaic area; if the difference between the fire warning coefficient and the preset allowable fire warning coefficient is less than or equal to the fifth preset threshold value, then judging whether the difference between the fire warning coefficient and the preset allowable fire warning coefficient is greater than a sixth preset threshold value; if the difference between the fire warning coefficient and the preset allowable fire warning coefficient is greater than the sixth preset threshold value, then determining the second level as the warning level of the photovoltaic area; if the difference between the fire warning coefficient and the preset allowable fire warning coefficient is less than or equal to the sixth preset threshold value, then determining the third level as the warning level of the photovoltaic area.

[0075] In this embodiment, the warning level of the photovoltaic field is set by the difference between the fire warning coefficient and the preset allowable fire warning coefficient. The larger the difference, the higher the ranking of the warning level and the greater the fire probability.

[0076] In some embodiments of the present application, the warning generation module performs a fire warning according to the fire warning level, including: if the warning level of the photovoltaic area is the first level, a high-risk fire warning is performed; if the warning level of the photovoltaic area is the second level, a fire protection warning is performed; if the warning level of the photovoltaic area is the third level, no fire warning is performed.

[0077] In this embodiment, warning information is sent to operation and maintenance personnel according to the fire warning level of the photovoltaic field, and the operation and maintenance personnel are notified to handle it quickly, thereby achieving timely warning of fires in the photovoltaic field.

[0078] By applying the above technical solutions, the present invention uses a hidden danger acquisition module to acquire the image data of the photovoltaic field area, and extracts the hidden danger image data of the photovoltaic field area according to the image data of the photovoltaic field area; a danger detection module to acquire the infrared image data of the photovoltaic field area, and determine the component danger coefficient of the photovoltaic components in the photovoltaic field area according to the infrared image data of the photovoltaic field area; an early warning calculation module to establish an early warning point radiation range image according to the component danger coefficient of the photovoltaic component, and determine the fire early warning coefficient of the photovoltaic field area according to the early warning point radiation range image; an early warning generation module to determine the fire early warning level according to the fire early warning coefficient of the photovoltaic field area, and perform fire early warning according to the fire early warning level. The present invention comprehensively considers the fire hidden dangers of the surrounding environment of the photovoltaic field area, can timely perform fire early warning, and greatly reduces the probability of fire accidents in the photovoltaic field area.

[0079] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0080] Those skilled in the art will appreciate that the modules in the device in the implementation scenario can be distributed in the device in the implementation scenario according to the implementation scenario description, or can be changed accordingly and located in one or more devices different from the implementation scenario. The modules in the above implementation scenario can be combined into one module, or can be further split into multiple sub-modules.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A photovoltaic field fire warning system, characterized in that: include: A hidden danger acquisition module is used to acquire the image data of the photovoltaic field area, and extract the hidden danger image data of the photovoltaic field area according to the image data of the photovoltaic field area; A danger detection module is used to obtain infrared image data of the photovoltaic field area, and determine the component danger factor of the photovoltaic components in the photovoltaic field area according to the infrared image data of the photovoltaic field area; An early warning calculation module is used to establish an early warning point radiation range image according to the component risk factor of the photovoltaic components, and determine the fire early warning coefficient of the photovoltaic field area according to the early warning point radiation range image; The warning generation module is used to determine the fire warning level according to the fire warning coefficient of the photovoltaic field area and to issue a fire warning according to the fire warning level.

2. The photovoltaic field fire warning system according to claim 1, characterized in that: The hidden danger acquisition module extracts hidden danger image data of the photovoltaic field area according to the photovoltaic field area image data, including: Preprocessing the photovoltaic field image data to obtain a preprocessed photovoltaic field image, wherein the preprocessing method includes grayscale and high-pass filtering; Obtaining a preset grid, and segmenting the preprocessed photovoltaic field image according to the preset grid to obtain a plurality of photovoltaic field image blocks; Based on the canny edge detection algorithm, edge detection is performed on the photovoltaic field image block, and multiple closed areas in the photovoltaic field image block are extracted according to the edge detection results; Calculate the rectangular fitting degree of each closed area, and screen out the potential danger areas in the closed area according to the rectangular fitting degree of each closed area; All potential danger areas of the photovoltaic field image are merged to obtain potential danger image data of the photovoltaic field.

3. The photovoltaic field fire warning system according to claim 2 is characterized in that: The calculating of the rectangular fitting degree of each closed area and screening out the potential danger area in the closed area according to the rectangular fitting degree of each closed area includes: Obtain the minimum circumscribed rectangle of each closed area, calculate the ratio of the area of ​​the closed area to the area of ​​the corresponding minimum circumscribed rectangle, and obtain the rectangular fitting degree of the closed area; A closed area whose rectangular fitting degree is less than a first preset threshold is screened out, and the closed area whose rectangular fitting degree is less than the first preset threshold is set as a hidden danger area.

4. The photovoltaic field fire warning system according to claim 1, characterized in that: The danger detection module determines the component danger factor of the photovoltaic components in the photovoltaic field area according to the infrared image data of the photovoltaic field area, including: Preprocessing the infrared image data of the photovoltaic field area to obtain a preprocessed infrared image of the photovoltaic field area, and extracting a photovoltaic module image of the preprocessed infrared image of the photovoltaic field area; Obtaining the grayscale value of each pixel in the photovoltaic component image, screening out the pixel points whose grayscale value is greater than a second preset threshold, and setting the pixel points whose grayscale value is greater than the second preset threshold as high-temperature pixel points; Calculate the ratio of the area of ​​all high-temperature pixels to the area of ​​the photovoltaic module image, and determine the high-temperature abnormal value of the photovoltaic module according to the ratio of the area of ​​all high-temperature pixels to the area of ​​the photovoltaic module image; The environmental dryness around the current photovoltaic module is obtained, the high temperature abnormal value is corrected according to the environmental dryness, and the module risk factor is determined according to the corrected high temperature abnormal value.

5. The photovoltaic field fire warning system according to claim 4, characterized in that: Determining the component risk factor according to the corrected high temperature abnormal value includes: Obtain the change of the high temperature abnormal value of the photovoltaic module, and draw a high temperature abnormal value change curve according to the change of the high temperature abnormal value of the photovoltaic module; Perform curve fitting on the high temperature anomaly value variation curve to obtain the high temperature anomaly value prediction curve; The rise time for the high temperature abnormal value to rise to the third preset threshold is determined according to the high temperature abnormal value prediction curve, and the component risk factor is determined according to the rise time for the high temperature abnormal value to rise to the third preset threshold.

6. The photovoltaic field fire warning system according to claim 5, characterized in that: The step of determining the component risk factor according to the rising time of the high temperature abnormal value rising to the third preset threshold value includes: The component risk factor is calculated according to the risk factor calculation formula, and the risk factor calculation formula is specifically: Wherein, D is the component risk factor, T is the current high temperature abnormality value of the photovoltaic component, T0 is the preset allowable high temperature abnormality value, S is the rising time for the high temperature abnormality value to rise to the third preset threshold value, and S0 is the preset allowable time.

7. The photovoltaic field fire warning system according to claim 2, characterized in that: The early warning calculation module establishes a radiation range image of the early warning point according to the component risk factor of the photovoltaic component, including: Screening out photovoltaic components whose component risk factor is greater than a fourth preset threshold value in the infrared image of the photovoltaic field area, setting the photovoltaic components whose component risk factor is greater than the fourth preset threshold value as warning points, and marking the warning points in the hidden danger image data; Obtain the component risk factor of each warning point, and convert the component risk factor into a line segment according to a preset ratio; With the warning point as the center and the corresponding line segment length as the radius, a circle is drawn in the hidden danger image data to obtain the radiation range image of the warning point.

8. The photovoltaic field fire warning system according to claim 7, characterized in that: The early warning calculation module determines the fire early warning coefficient of the photovoltaic field area according to the radiation range image of the early warning point, including: Obtain a preset minimum component risk factor, and set the range from the component risk factor of each warning point to the minimum component risk factor as the risk level from the center of each warning point to the circumference in the warning point radiation range image; Obtain the distance from the hidden danger area within the circumference of the warning point to the warning point, and determine the danger level of the hidden danger area according to the distance from the hidden danger area to the warning point; Obtain the area value of the hidden danger area, calculate the ratio of the area value of the hidden danger area to the preset allowable area value, and obtain the correction value of the early warning coefficient; The fire warning coefficient of the hidden danger area is obtained by multiplying the correction value of the early warning coefficient by the danger level of the hidden danger area; The sum of the fire warning coefficients of all hidden danger areas in the radiation range image of the warning point is calculated to obtain the fire warning coefficient of the photovoltaic field.

9. The photovoltaic field fire warning system according to claim 1, characterized in that: The warning generation module determines the fire warning level according to the fire warning coefficient of the photovoltaic field, including: Obtaining a preset allowable fire warning coefficient, and calculating the difference between the fire warning coefficient of the photovoltaic field and the preset allowable fire warning coefficient; Determine whether the difference between the fire warning coefficient and the preset allowable fire warning coefficient is greater than a fifth preset threshold value, and if the difference between the fire warning coefficient and the preset allowable fire warning coefficient is greater than the fifth preset threshold value, determine the first level as the warning level of the photovoltaic field area; If the difference between the fire warning coefficient and the preset allowable fire warning coefficient is less than or equal to the fifth preset threshold, determining whether the difference between the fire warning coefficient and the preset allowable fire warning coefficient is greater than the sixth preset threshold; If the difference between the fire warning coefficient and the preset permissible fire warning coefficient is greater than the sixth preset threshold, the second level is determined as the warning level of the photovoltaic field area; If the difference between the fire warning coefficient and the preset allowable fire warning coefficient is less than or equal to the sixth preset threshold, the third level is determined as the warning level of the photovoltaic field area.

10. The photovoltaic field fire warning system according to claim 9, characterized in that: The warning generation module performs fire warning according to the fire warning level, including: If the warning level of the photovoltaic field is the first level, a high-risk fire warning will be issued; If the warning level of the photovoltaic field is the second level, a fire protection warning will be issued; If the warning level of the photovoltaic field is the third level, no fire warning will be issued.

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