Automatic monitoring method and system based on photovoltaic power station fire-fighting internet of things

Abstract

The invention relates to an automatic monitoring method and system based on a photovoltaic power station fire-fighting internet of things, and belongs to the field of fire-fighting internet of things. The method comprises the following steps: outputting photovoltaic power station fire fighting information, including photovoltaic power station suspected fire information and photovoltaic power station safety information; when suspected fire information of the photovoltaic power station is received, a confirmation signal is fed back to the intelligent fire monitor; when the intelligent fire monitor receives a false alarm signal, red and ultraviolet detection and pressure sensing are continued; when the intelligent fire monitor receives a fire alarm signal, the spatial position of a fire source point is determined; the intelligent fire monitor regulates and controls operation parameters of the intelligent fire monitor according to the spatial position of the fire source point to extinguish fire; in the fire extinguishing process, the intelligent fire monitor is rotated to track the spatial position of a fire source point, meanwhile, the fire fighting information of the photovoltaic power station is continuously output till the safety information of the photovoltaic power station is output, and the intelligent fire monitor stops discharging water and is reset. Missed alarm and false alarm are reduced to the greatest extent; and the fire is timely controlled through the intelligent fire monitor.

Description

Technical Field

[0001] The present invention belongs to the technical field of fire protection Internet of Things, and specifically relates to an automatic monitoring method and system based on a fire protection Internet of Things for a photovoltaic power station. Background Art

[0003] The current photovoltaic power station fire protection Internet of Things has the following problems: the existing smoke and temperature detectors have a single detection element, it is difficult to issue a fire warning in the first time, the safety performance is low, and the fire detector has low sensitivity and cannot detect fires in time. High sensitivity will cause false alarm problems in the fire alarm system. When a fire alarm occurs, it is often necessary to manually verify the authenticity of the alarm on site, increasing the workload of firefighters. If it is a real dangerous situation, it will delay the rescue time; the conventional fire extinguishing method is indiscriminate fire extinguishing, which is easy to cause water waste, and even cause insufficient water for fire extinguishing in the later stage, which is difficult to dispatch, causing the fire to spread further, and the cost is high; the existing method is not accurate, and it is difficult to accurately extinguish the fire source. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the present invention provides an automatic monitoring method and system based on a photovoltaic power station fire protection Internet of Things.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An automatic monitoring method based on a photovoltaic power station fire protection Internet of Things, the implementation of the automatic monitoring method comprising the following steps:

[0007] Within the fire monitoring range of the photovoltaic power station, a photovoltaic power station fire model is constructed through red and ultraviolet detection and pressure perception, and photovoltaic power station fire information is output, wherein the photovoltaic power station fire information includes suspected fire information of the photovoltaic power station and safety information of the photovoltaic power station;

[0008] When the terminal receives the suspected fire information of the photovoltaic power station, it sends a start command to the smart fire monitor and sends the on-site video to the control terminal, and the control terminal feeds back a confirmation signal to the smart fire monitor, and the confirmation signal includes a false alarm signal and a fire alarm signal;

[0009] When the intelligent fire monitor receives the false alarm signal, the intelligent fire monitor resets and continues the infrared and ultraviolet detection and the pressure perception; when the intelligent fire monitor receives the fire alarm signal, the spatial position of the fire source is determined by stereoscopic visual positioning;

[0010] The intelligent fire monitor controls the operating parameters of the intelligent fire monitor according to the spatial position of the fire source point to extinguish the fire;

[0011] During the fire extinguishing process, the spatial position of the fire source is continuously updated through the stereoscopic visual positioning and the intelligent fire cannon is rotated to track the spatial position of the fire source. At the same time, the fire protection information of the photovoltaic power station is continuously output until the safety information of the photovoltaic power station is output. Then, a reset standby instruction is fed back, and the intelligent fire cannon stops discharging water and resets.

[0012] Specifically, the construction of a photovoltaic power station fire protection model through infrared and ultraviolet detection and pressure perception and output of photovoltaic power station fire protection information includes:

[0013] Obtaining red ultraviolet detection information through the red ultraviolet detection, wherein the red ultraviolet detection information includes red ultraviolet warning information and red ultraviolet safety information;

[0014] Acquiring pressure perception information through the pressure perception, wherein the pressure perception information includes abnormal pressure information and normal pressure information;

[0015] The photovoltaic power station fire protection model is constructed by the red-ultraviolet detection information and the pressure perception information. When the red-ultraviolet warning information and the abnormal pressure information are output at the same time, the suspected fire information of the photovoltaic power station is fed back. When the red-ultraviolet warning information and the normal pressure information are output at the same time, the suspected fire information of the photovoltaic power station is fed back. When the red-ultraviolet safety information and the abnormal pressure information are output at the same time, the red-ultraviolet detection is performed again. When the red-ultraviolet safety information and the normal pressure information are output at the same time, the safety information of the photovoltaic power station is fed back.

[0016] Specifically, the obtaining of red-ultraviolet detection information through the red-ultraviolet detection includes:

[0017] An infrared detection band and an ultraviolet detection band are selected according to the flame radiation intensity in different bands, wherein the infrared detection band includes a first infrared detection band, a second infrared detection band, a third infrared detection band, a fourth infrared detection band, and a fifth infrared detection band, wherein the third infrared detection band is an infrared band corresponding to the peak value of the flame radiation intensity;

[0018] Based on the infrared detection band, infrared detection is performed and a detection voltage signal fed back is obtained, and an average power of the infrared detection band is calculated according to the detection voltage signal, wherein the average power of the infrared detection band includes an average power of a first infrared detection band, an average power of a second infrared detection band, an average power of a third infrared detection band, an average power of a fourth infrared detection band, and an average power of a fifth infrared detection band;

[0019] Determine a discrimination coefficient according to the correlation between the average powers of the infrared detection bands, wherein the discrimination coefficient includes a first discrimination coefficient, a second discrimination coefficient, a fourth discrimination coefficient, and a fifth discrimination coefficient;

[0020] The third band alarm threshold is preset, and the infrared detection result is obtained according to the average power of the infrared detection band. The expression of the infrared detection result is: Wherein, A is the infrared detection result, P1 is the average power of the first infrared detection band, P2 is the average power of the second infrared detection band, P3 is the average power of the third infrared detection band, P4 is the average power of the fourth infrared detection band, P5 is the average power of the fifth infrared detection band, M is the alarm threshold of the third band, α is the first discriminant coefficient, β is the second discriminant coefficient, γ is the fourth discriminant coefficient, and δ is the fifth discriminant coefficient;

[0021] A fixed time window is preset, ultraviolet detection is performed based on the ultraviolet detection band, the number of captured pulses of the ultraviolet detection band within the fixed time window is obtained, a pulse number threshold is set, and the ultraviolet detection result is obtained according to the pulse number threshold. The expression of the ultraviolet detection result is: Among them, B is the UV detection result, T is the number of captured pulses, and N is the pulse number threshold;

[0022] The red-ultraviolet detection information is obtained according to the infrared detection result and the ultraviolet detection result, and the red-ultraviolet warning information is output when the infrared detection result and the ultraviolet detection result are both 1; and the red-ultraviolet safety information is output when the infrared detection result and the ultraviolet detection result are not 1 at the same time.

[0023] Specifically, the obtaining pressure perception information through the pressure perception includes:

[0024] The number of pressure exceeding the standard is obtained by means of pressure sensors arranged within the fire monitoring range of the photovoltaic power station. When the number of pressure exceeding the standard is greater than a preset pressure exceeding standard threshold, the pressure abnormality information is output; when the number of pressure exceeding the standard is less than or equal to the preset pressure exceeding standard threshold, the pressure normal information is output.

[0025] Specifically, determining the spatial position of the fire source point through stereoscopic vision positioning includes:

[0026] A parallel binocular camera is set to obtain a fire image of the photovoltaic power station within the fire monitoring range of the photovoltaic power station, obtain the image coordinates (x, y) of the fire source point in the fire image of the photovoltaic power station, and obtain the camera coordinates of the fire source point in the parallel binocular camera coordinate system, wherein the camera coordinates include a first camera coordinate (x1, y1) and a second camera coordinate (x2, y2);

[0027] The spatial position of the fire source point is acquired according to the image coordinates and the camera coordinates.

[0028] Specifically, the intelligent fire monitor controls the operating parameters of the intelligent fire monitor according to the spatial position of the fire source point to extinguish the fire, including:

[0029] Construct a simulation model of intelligent fire cannon trajectory;

[0030] Obtaining the distance to the fire source point and the angle between the direction of the fire source point according to the spatial position of the fire source point;

[0031] The intelligent fire cannon determines the internal parameters of the intelligent fire cannon based on the intelligent fire cannon trajectory simulation model according to the distance from the fire source point and the angle between the fire source point and the direction of the fire source point. The internal parameters of the intelligent fire cannon include the water pressure of the intelligent fire cannon, the spray angle of the intelligent fire cannon, the cross-sectional area of ​​the water column of the water outlet of the intelligent fire cannon, the flow rate of the water outlet of the intelligent fire cannon, and the water output of the intelligent fire cannon at a fixed time. The first priority is to minimize the water output of the intelligent fire cannon at a fixed time, and the second priority is to minimize the water pressure of the intelligent fire cannon.

[0032] Specifically, the construction of the intelligent fire cannon trajectory simulation model includes:

[0033] The trajectory landing point distance of the intelligent fire cannon under different internal parameters of the intelligent fire cannon is obtained, and a trajectory simulation model of the intelligent fire cannon is constructed. The intelligent fire cannon trajectory simulation model is a function equation of the trajectory landing point distance with respect to the internal parameters of the intelligent fire cannon.

[0034] An automatic monitoring system based on the photovoltaic power station fire protection Internet of Things, used to execute the automatic monitoring method described above, including a fire protection monitoring module, a fire protection operation module, and a fire protection reset module;

[0035] The fire monitoring module is used to construct a fire model of a photovoltaic power station and output fire information of the photovoltaic power station through infrared and ultraviolet detection and pressure perception within the fire monitoring range of the photovoltaic power station, and the fire information of the photovoltaic power station includes suspected fire information of the photovoltaic power station and safety information of the photovoltaic power station; when the terminal receives the suspected fire information of the photovoltaic power station, it sends a start instruction to the intelligent fire monitor and sends the on-site video to the control end, and the control end feeds back a confirmation signal to the intelligent fire monitor, and the confirmation signal includes a false alarm signal and a fire alarm signal;

[0036] The fire operation module is used for resetting the intelligent fire monitor and continuing the infrared and ultraviolet detection and the pressure sensing when the intelligent fire monitor receives the false alarm signal; determining the spatial position of the fire source through stereoscopic visual positioning when the intelligent fire monitor receives the fire alarm signal; and the intelligent fire monitor adjusts the operating parameters of the intelligent fire monitor according to the spatial position of the fire source to extinguish the fire;

[0037] The fire reset module is used to continuously update the spatial position of the fire source point through the stereoscopic visual positioning during the fire extinguishing process and rotate the intelligent fire cannon to track the spatial position of the fire source point, while continuously outputting the fire information of the photovoltaic power station until the photovoltaic power station safety information is output, and then feedback is given as a reset standby instruction, and the intelligent fire cannon stops discharging water and resets.

[0038] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the automatic monitoring method described above is implemented when the processor executes the program.

[0039] A storage medium containing computer executable instructions, which are used to perform the automatic monitoring method described above when executed by a computer processor.

[0040] The beneficial effects of the present invention are:

[0041] (1) Through infrared and ultraviolet detection and pressure sensing, a photovoltaic power station fire protection model is constructed and photovoltaic power station fire protection information is output. This two-pronged approach can minimize the false alarms and missed reports of fires and improve the accuracy of fire protection Internet of Things monitoring.

[0042] (2) The intelligent fire cannon is used to extinguish the fire by adjusting the operating parameters of the intelligent fire cannon according to the spatial position of the fire source, so as to accurately locate the fire source and adjust the parameters of the intelligent fire cannon so that the water flow reaches the fire source for accurate fire extinguishing.

[0043] (3) Infrared detection bands are selected according to the flame radiation intensity in different bands. The bands corresponding to the peaks and valleys on both sides of the flame radiation intensity peak are selected as four auxiliary bands for flame detection. The left band is used to detect the high-temperature heat source interference band, and the right band is used to detect the background light radiation interference band. By performing correlation analysis on the radiation intensity of these four bands and the flame radiation peak band, the flame can be detected at a longer distance and the true and false fires can be effectively distinguished.

[0044] (4) The number of times the pressure exceeds the standard is obtained by using pressure sensors installed within the fire monitoring range of the photovoltaic power station. When a fire occurs, animals near the fire source will be disturbed and trigger the pressure sensors multiple times in a short period of time, which can be used as a basis for judging whether a fire has occurred;

[0045] (5) The intelligent fire cannon determines the internal parameters of the intelligent fire cannon based on the intelligent fire cannon trajectory simulation model according to the distance from the fire source point and the angle between the fire source point and the direction of the fire source point. The first priority is to minimize the water output of the intelligent fire cannon at a fixed time, and the second priority is to minimize the water pressure of the intelligent fire cannon. Priority is given to solutions with low water consumption and low water pressure to save water resources and reduce the reaction force on the intelligent fire cannon, so as to avoid damage or failure caused by excessive force on the equipment, thereby delaying fire control. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0047] Figure 1 The present invention is a flowchart of the steps of an automatic monitoring method based on the photovoltaic power station fire protection Internet of Things. DETAILED DESCRIPTION

[0048] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0049] The working principle and use process of the present invention:

[0050] See also Figure 1 , an automatic monitoring method based on photovoltaic power station fire protection Internet of Things, comprising:

[0051] S1: within the fire monitoring range of the photovoltaic power station, a photovoltaic power station fire model is constructed through red and ultraviolet detection and pressure perception, and photovoltaic power station fire information is output, wherein the photovoltaic power station fire information includes suspected fire information of the photovoltaic power station and safety information of the photovoltaic power station;

[0052] S2: When the terminal receives the suspected fire information of the photovoltaic power station, it sends a start command to the smart fire monitor and sends the on-site video to the control terminal, and the control terminal feeds back a confirmation signal to the smart fire monitor, and the confirmation signal includes a false alarm signal and a fire alarm signal;

[0053] S3: When the intelligent fire monitor receives the false alarm signal, the intelligent fire monitor resets and continues the infrared and ultraviolet detection and the pressure perception; when the intelligent fire monitor receives the fire alarm signal, the spatial position of the fire source is determined by stereoscopic visual positioning;

[0054] S4: The intelligent fire monitor controls the operating parameters of the intelligent fire monitor according to the spatial position of the fire source to extinguish the fire;

[0055] S5: During the fire extinguishing process, the spatial position of the fire source is continuously updated through the stereoscopic visual positioning and the intelligent fire monitor is rotated to track the spatial position of the fire source. At the same time, the fire protection information of the photovoltaic power station is continuously output until the safety information of the photovoltaic power station is output. Then, a reset standby instruction is fed back, and the intelligent fire monitor stops discharging water and resets.

[0056] In this embodiment, a photovoltaic power station fire protection model is constructed through infrared and ultraviolet detection and pressure perception, and photovoltaic power station fire protection information is output, which can be specifically implemented through the following steps:

[0057] S101: acquiring red-ultraviolet detection information through the red-ultraviolet detection, wherein the red-ultraviolet detection information includes red-ultraviolet warning information and red-ultraviolet safety information;

[0058] S102: Acquiring pressure perception information through the pressure perception, wherein the pressure perception information includes abnormal pressure information and normal pressure information;

[0059] S103: Constructing the fire protection model of the photovoltaic power station through the red-ultraviolet detection information and the pressure perception information; when the red-ultraviolet warning information and the abnormal pressure information are output simultaneously, the suspected fire information of the photovoltaic power station is fed back; when the red-ultraviolet warning information and the normal pressure information are output simultaneously, the suspected fire information of the photovoltaic power station is fed back; when the red-ultraviolet safety information and the abnormal pressure information are output simultaneously, performing the red-ultraviolet detection again; when the red-ultraviolet safety information and the normal pressure information are output simultaneously, the safety information of the photovoltaic power station is fed back.

[0060] In this embodiment, obtaining the red-ultraviolet detection information through the red-ultraviolet detection can be specifically implemented through the following steps:

[0061] S101-1: Select an infrared detection band and an ultraviolet detection band according to the flame radiation intensity in different bands, the infrared detection band includes a first infrared detection band, a second infrared detection band, a third infrared detection band, a fourth infrared detection band, and a fifth infrared detection band, the third infrared detection band is an infrared band corresponding to the peak value of the flame radiation intensity, the first infrared detection band is the second peak-valley band on the left side of the third infrared detection band, the second infrared detection band is the first peak-valley band on the left side of the third infrared detection band, and the fourth infrared detection band is The first peak-valley band on the right side of the third infrared detection band, the fifth infrared detection band is the second peak-valley band on the right side of the third infrared detection band, the ultraviolet detection band is less than 0.29 μm, and the bands corresponding to the peaks and valleys on both sides of the flame radiation intensity peak are selected as four auxiliary bands for flame detection. The left band is used to detect the high-temperature heat source interference band, and the right band is used to detect the background light radiation interference band. By performing correlation analysis on the radiation intensity of these four bands and the flame radiation peak band, the long-distance detection of the flame and the effective distinction between true and false fires can be achieved;

[0062] S101-2: Perform infrared detection based on the infrared detection band and obtain a feedback detection voltage signal, and calculate the average power of the infrared detection band according to the detection voltage signal, wherein the average power of the infrared detection band includes the average power of the first infrared detection band, the average power of the second infrared detection band, the average power of the third infrared detection band, the average power of the fourth infrared detection band, and the average power of the fifth infrared detection band. The calculation formula of the average power of the infrared detection band is: Wherein, k is the total number of infrared signal sampling points, P1 is the average power of the first infrared detection band, x1(i) is the detection voltage signal of the i-th infrared signal sampling point in the first infrared detection band, b1 is the DC bias in the first infrared detection band, P2 is the average power of the second infrared detection band, x2(i) is the detection voltage signal of the i-th infrared signal sampling point in the second infrared detection band, b2 is the DC bias in the second infrared detection band, P3 is the average power of the third infrared detection band, x3(i) is the detection voltage signal of the i-th infrared signal sampling point in the third infrared detection band, b3 is the DC bias in the third infrared detection band, P4 is the average power of the fourth infrared detection band, x4(i) is the detection voltage signal of the i-th infrared signal sampling point in the fourth infrared detection band, b4 is the DC bias in the fourth infrared detection band, P5 is the average power of the fifth infrared detection band, x5(i) is the detection voltage signal of the i-th infrared signal sampling point in the fifth infrared detection band, and b5 is the DC bias in the fifth infrared detection band;

[0063] S101-3: determining a discrimination coefficient according to the correlation between the average powers of the infrared detection bands, wherein the discrimination coefficient includes a first discrimination coefficient, a second discrimination coefficient, a fourth discrimination coefficient, and a fifth discrimination coefficient;

[0064] S101-4: Preset the third band alarm threshold, and obtain the infrared detection result according to the average power of the infrared detection band. The expression of the infrared detection result is: Among them, A is the infrared detection result, M is the third band alarm threshold, α is the first discriminant coefficient, β is the second discriminant coefficient, γ is the fourth discriminant coefficient, and δ is the fifth discriminant coefficient;

[0065] S101-5: Preset a fixed time window, perform ultraviolet detection based on the ultraviolet detection band, obtain the number of captured pulses of the ultraviolet detection band within the fixed time window, set a pulse number threshold, and obtain the ultraviolet detection result according to the pulse number threshold. The expression of the ultraviolet detection result is: Among them, B is the UV detection result, T is the number of captured pulses, and N is the pulse number threshold;

[0066] S101-6: Obtain the red-ultraviolet detection information according to the infrared detection result and the ultraviolet detection result, output the red-ultraviolet warning information when the infrared detection result and the ultraviolet detection result are both 1, and output the red-ultraviolet safety information when the infrared detection result and the ultraviolet detection result are not 1 at the same time.

[0067] In this embodiment, obtaining pressure perception information through pressure perception can be implemented through the following steps:

[0068] The number of pressure exceeding the standard is obtained by using pressure sensors installed within the fire monitoring range of the photovoltaic power station. When a fire occurs, animals near the fire source will be disturbed and trigger the pressure sensor multiple times in a short period of time, which can be used as a basis for judging whether a fire has occurred. The number of pressure exceeding the standard is the number of times the pressure sensor detects a pressure greater than a preset pressure threshold within 3 minutes; when the number of pressure exceeding the standard is greater than the preset pressure exceeding number threshold, the pressure abnormality information is output; when the number of pressure exceeding the standard is less than or equal to the preset pressure exceeding number threshold, the pressure normal information is output.

[0069] In this embodiment, the spatial position of the fire source is determined by stereoscopic visual positioning, which can be implemented by the following steps:

[0070] S301: Setting a parallel binocular camera to obtain a fire image of the photovoltaic power station within the fire monitoring range of the photovoltaic power station, obtaining the image coordinates (x, y) of the fire source point in the fire image of the photovoltaic power station, and obtaining the camera coordinates of the fire source point in the parallel binocular camera coordinate system, wherein the camera coordinates include a first camera coordinate (x1, y1) and a second camera coordinate (x2, y2);

[0071] S302: Obtain the spatial position of the fire source point according to the image coordinates and the camera coordinates. The expression of the spatial position of the fire source point is: Among them, (X, Y, Z) is the spatial position of the fire source, (x, y) is the image coordinate, (x1, y1) is the first camera coordinate, (x2, y2) is the second camera coordinate, f is the focal length of the parallel binocular camera, and b is the baseline length.

[0072] In this embodiment, the intelligent fire monitor controls the operating parameters of the intelligent fire monitor according to the spatial position of the fire source point to extinguish the fire, which can be implemented by the following steps:

[0073] S401: Constructing an intelligent fire cannon trajectory simulation model;

[0074] S402: Acquire the distance to the fire source point and the angle to the fire source point according to the spatial position of the fire source point, wherein the distance to the fire source point is the horizontal distance between the fire source point and the intelligent fire monitor, and the angle to the fire source point is the angle between the initial orientation of the intelligent fire monitor and the line connecting the fire source point and the intelligent fire monitor;

[0075] S403: The intelligent fire cannon determines the internal parameters of the intelligent fire cannon based on the intelligent fire cannon trajectory simulation model according to the distance from the fire source point and the angle of the direction of the fire source point. The internal parameters of the intelligent fire cannon include the water pressure of the intelligent fire cannon, the spray angle of the intelligent fire cannon, the cross-sectional area of ​​the water column of the water outlet of the intelligent fire cannon, the flow rate of the water outlet of the intelligent fire cannon, and the fixed-time water output of the intelligent fire cannon. The fixed-time water output of the intelligent fire cannon is the water volume of the water outlet of the intelligent fire cannon within 10s. The minimum fixed-time water output of the intelligent fire cannon is the first priority, and the minimum water pressure of the intelligent fire cannon is the second priority. That is, when determining the internal parameters of the intelligent fire cannon, the solution with the minimum fixed-time water output of the intelligent fire cannon is given priority, and the solution with the minimum water pressure of the intelligent fire cannon is considered secondly. The solution with less water consumption and lower water pressure is given priority to save water resources, reduce the reaction force on the intelligent fire cannon, avoid excessive force on the equipment causing loss or failure, and delay fire control.

[0076] In this embodiment, the intelligent fire cannon trajectory simulation model is constructed, which can be implemented by the following steps:

[0077] Through a large number of experiments, the trajectory landing point distance of the intelligent fire cannon under different internal parameters of the intelligent fire cannon is obtained, and the trajectory simulation model of the intelligent fire cannon is constructed. The intelligent fire cannon trajectory simulation model is a function equation of the trajectory landing point distance about the internal parameters of the intelligent fire cannon.

[0078] An automatic monitoring system based on the photovoltaic power station fire protection Internet of Things, including a fire monitoring module, a fire operation module, and a fire reset module;

[0079] The fire monitoring module is used to construct a fire model of a photovoltaic power station and output fire information of the photovoltaic power station through infrared and ultraviolet detection and pressure perception within the fire monitoring range of the photovoltaic power station, and the fire information of the photovoltaic power station includes suspected fire information of the photovoltaic power station and safety information of the photovoltaic power station; when the terminal receives the suspected fire information of the photovoltaic power station, it sends a start instruction to the intelligent fire monitor and sends the on-site video to the control end, and the control end feeds back a confirmation signal to the intelligent fire monitor, and the confirmation signal includes a false alarm signal and a fire alarm signal;

[0080] The fire operation module is used for resetting the intelligent fire monitor and continuing the infrared and ultraviolet detection and the pressure sensing when the intelligent fire monitor receives the false alarm signal; determining the spatial position of the fire source through stereoscopic visual positioning when the intelligent fire monitor receives the fire alarm signal; and the intelligent fire monitor adjusts the operating parameters of the intelligent fire monitor according to the spatial position of the fire source to extinguish the fire;

[0081] The fire reset module is used to continuously update the spatial position of the fire source point through the stereoscopic visual positioning during the fire extinguishing process and rotate the intelligent fire cannon to track the spatial position of the fire source point, while continuously outputting the fire information of the photovoltaic power station until the photovoltaic power station safety information is output, and then feedback is given as a reset standby instruction, and the intelligent fire cannon stops discharging water and resets.

[0082] The computer storage medium of the embodiment of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device.

[0083] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0084] The program code included on the computer readable medium can be transmitted with any appropriate medium, including but not limited to wireless, electric wire, optical cable, RF, etc., or any suitable combination of the above. The computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or their combinations, and the programming language includes object-oriented programming languages-such as Java, Smalltalk, C++, and also includes conventional procedural programming languages-such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0085] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. An automatic monitoring method based on photovoltaic power station fire protection Internet of Things, characterized in that: The implementation of the automatic monitoring method comprises the following steps: Within the fire monitoring range of the photovoltaic power station, a photovoltaic power station fire model is constructed through red and ultraviolet detection and pressure perception, and photovoltaic power station fire information is output, wherein the photovoltaic power station fire information includes suspected fire information of the photovoltaic power station and safety information of the photovoltaic power station; When the terminal receives the suspected fire information of the photovoltaic power station, it sends a start command to the smart fire monitor and sends the on-site video to the control terminal, and the control terminal feeds back a confirmation signal to the smart fire monitor, and the confirmation signal includes a false alarm signal and a fire alarm signal; When the intelligent fire monitor receives the false alarm signal, the intelligent fire monitor resets and continues the infrared and ultraviolet detection and the pressure perception; when the intelligent fire monitor receives the fire alarm signal, the spatial position of the fire source is determined by stereoscopic visual positioning; The intelligent fire monitor controls the operating parameters of the intelligent fire monitor according to the spatial position of the fire source point to extinguish the fire; During the fire extinguishing process, the spatial position of the fire source is continuously updated through the stereoscopic visual positioning and the intelligent fire cannon is rotated to track the spatial position of the fire source. At the same time, the fire protection information of the photovoltaic power station is continuously output until the safety information of the photovoltaic power station is output. Then, a reset standby instruction is fed back, and the intelligent fire cannon stops discharging water and resets.

2. The automatic monitoring method according to claim 1, characterized in that: The method of constructing a photovoltaic power station fire protection model through infrared and ultraviolet detection and pressure perception and outputting photovoltaic power station fire protection information includes: Obtaining red ultraviolet detection information through the red ultraviolet detection, wherein the red ultraviolet detection information includes red ultraviolet warning information and red ultraviolet safety information; Acquiring pressure perception information through the pressure perception, wherein the pressure perception information includes abnormal pressure information and normal pressure information; The photovoltaic power station fire protection model is constructed by the red-ultraviolet detection information and the pressure perception information. When the red-ultraviolet warning information and the abnormal pressure information are output at the same time, the suspected fire information of the photovoltaic power station is fed back. When the red-ultraviolet warning information and the normal pressure information are output at the same time, the suspected fire information of the photovoltaic power station is fed back. When the red-ultraviolet safety information and the abnormal pressure information are output at the same time, the red-ultraviolet detection is performed again. When the red-ultraviolet safety information and the normal pressure information are output at the same time, the safety information of the photovoltaic power station is fed back.

3. The automatic monitoring method according to claim 2, characterized in that: The obtaining of red and ultraviolet detection information through the red and ultraviolet detection includes: An infrared detection band and an ultraviolet detection band are selected according to the flame radiation intensity in different bands, wherein the infrared detection band includes a first infrared detection band, a second infrared detection band, a third infrared detection band, a fourth infrared detection band, and a fifth infrared detection band, wherein the third infrared detection band is an infrared band corresponding to the peak value of the flame radiation intensity; Based on the infrared detection band, infrared detection is performed and a detection voltage signal fed back is obtained, and an average power of the infrared detection band is calculated according to the detection voltage signal, wherein the average power of the infrared detection band includes an average power of a first infrared detection band, an average power of a second infrared detection band, an average power of a third infrared detection band, an average power of a fourth infrared detection band, and an average power of a fifth infrared detection band; Determine a discrimination coefficient according to the correlation between the average powers of the infrared detection bands, wherein the discrimination coefficient includes a first discrimination coefficient, a second discrimination coefficient, a fourth discrimination coefficient, and a fifth discrimination coefficient; The third band alarm threshold is preset, and the infrared detection result is obtained according to the average power of the infrared detection band. The expression of the infrared detection result is: Wherein, A is the infrared detection result, P1 is the average power of the first infrared detection band, P2 is the average power of the second infrared detection band, P3 is the average power of the third infrared detection band, P4 is the average power of the fourth infrared detection band, P5 is the average power of the fifth infrared detection band, M is the alarm threshold of the third band, α is the first discriminant coefficient, β is the second discriminant coefficient, γ is the fourth discriminant coefficient, and δ is the fifth discriminant coefficient; A fixed time window is preset, ultraviolet detection is performed based on the ultraviolet detection band, the number of captured pulses of the ultraviolet detection band within the fixed time window is obtained, a pulse number threshold is set, and the ultraviolet detection result is obtained according to the pulse number threshold. The expression of the ultraviolet detection result is: Among them, B is the UV detection result, T is the number of captured pulses, and N is the pulse number threshold; The red-ultraviolet detection information is obtained according to the infrared detection result and the ultraviolet detection result, and the red-ultraviolet warning information is output when the infrared detection result and the ultraviolet detection result are both 1; and the red-ultraviolet safety information is output when the infrared detection result and the ultraviolet detection result are not 1 at the same time.

4. The automatic monitoring method according to claim 2, characterized in that: The obtaining of pressure perception information through the pressure perception includes: The number of pressure exceeding the standard is obtained by means of pressure sensors arranged within the fire monitoring range of the photovoltaic power station. When the number of pressure exceeding the standard is greater than a preset pressure exceeding standard threshold, the pressure abnormality information is output; when the number of pressure exceeding the standard is less than or equal to the preset pressure exceeding standard threshold, the pressure normal information is output.

5. The automatic monitoring method according to claim 1, characterized in that: Determining the spatial position of the fire source point by stereoscopic vision positioning includes: A parallel binocular camera is set to obtain a fire image of the photovoltaic power station within the fire monitoring range of the photovoltaic power station, obtain the image coordinates (x, y) of the fire source point in the fire image of the photovoltaic power station, and obtain the camera coordinates of the fire source point in the parallel binocular camera coordinate system, wherein the camera coordinates include a first camera coordinate (x1, y1) and a second camera coordinate (x2, y2); The spatial position of the fire source point is acquired according to the image coordinates and the camera coordinates.

6. The automatic monitoring method according to claim 1, characterized in that: The intelligent fire monitor controls the operating parameters of the intelligent fire monitor according to the spatial position of the fire source point to extinguish the fire, including: Construct a trajectory simulation model of intelligent fire cannon; Obtaining the distance to the fire source point and the angle between the direction of the fire source point according to the spatial position of the fire source point; The intelligent fire cannon determines the internal parameters of the intelligent fire cannon based on the intelligent fire cannon trajectory simulation model according to the distance from the fire source point and the angle between the fire source point and the direction of the fire source point. The internal parameters of the intelligent fire cannon include the water pressure of the intelligent fire cannon, the spray angle of the intelligent fire cannon, the cross-sectional area of ​​the water column of the water outlet of the intelligent fire cannon, the flow rate of the water outlet of the intelligent fire cannon, and the water output of the intelligent fire cannon at a fixed time. The first priority is to minimize the water output of the intelligent fire cannon at a fixed time, and the second priority is to minimize the water pressure of the intelligent fire cannon.

7. The automatic monitoring method according to claim 6, characterized in that: The construction of the intelligent fire cannon trajectory simulation model includes: The trajectory landing point distance of the intelligent fire cannon under different internal parameters of the intelligent fire cannon is obtained, and a trajectory simulation model of the intelligent fire cannon is constructed. The intelligent fire cannon trajectory simulation model is a function equation of the trajectory landing point distance with respect to the internal parameters of the intelligent fire cannon.

8. An automatic monitoring system based on photovoltaic power station fire protection Internet of Things, characterized in that: The system is applied to the automatic monitoring method as described in any one of claims 1 to 7, including a fire monitoring module, a fire operation module, and a fire reset module; The fire monitoring module is used to construct a fire model of a photovoltaic power station and output fire information of the photovoltaic power station through infrared and ultraviolet detection and pressure perception within the fire monitoring range of the photovoltaic power station, and the fire information of the photovoltaic power station includes suspected fire information of the photovoltaic power station and safety information of the photovoltaic power station; when the terminal receives the suspected fire information of the photovoltaic power station, it sends a start instruction to the intelligent fire monitor and sends the on-site video to the control end, and the control end feeds back a confirmation signal to the intelligent fire monitor, and the confirmation signal includes a false alarm signal and a fire alarm signal; The fire operation module is used for resetting the intelligent fire monitor and continuing the red and ultraviolet detection and the pressure perception when the intelligent fire monitor receives the false alarm signal; When the intelligent fire monitor receives the fire alarm signal, the spatial position of the fire source is determined through stereoscopic visual positioning; The intelligent fire monitor controls the operating parameters of the intelligent fire monitor according to the spatial position of the fire source point to extinguish the fire; The fire reset module is used to continuously update the spatial position of the fire source point through the stereoscopic visual positioning during the fire extinguishing process and rotate the intelligent fire cannon to track the spatial position of the fire source point, while continuously outputting the fire information of the photovoltaic power station until the photovoltaic power station safety information is output, and then feedback is given as a reset standby instruction, and the intelligent fire cannon stops discharging water and resets.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the automatic monitoring method as described in any one of claims 1-7 is implemented.

10. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions are used to perform the automatic monitoring method as described in any one of claims 1-7 when executed by a computer processor.

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