Comprehensive forest fire factor early warning monitoring station

Abstract

The invention relates to a comprehensive forest fire factor early warning monitoring station in the field of forest fire prevention monitoring, which comprises monitoring station auxiliary equipment, a combustible water content sensor A and a combustible water content sensor B. The monitoring station auxiliary equipment comprises a mounting bracket, and a solar panel and a control equipment cabinet are sequentially hung on the mounting bracket from top to bottom. The top end of the mounting bracket is fixedly connected with a micro-meteorological sensor and an abnormal monitoring camera, and the detection equipment integrates the micro-meteorological sensor, a combustible water content sensor A and a combustible water content sensor B, can realize the functions of GPS positioning, self state sensing and the like, and realizes all-weather automatic acquisition of forest multi-dimensional fire danger factors; according to the method and the system, an accurate, multi-dimensional and real-time big data source is provided for a forest fire danger sensing model, fire early warning is realized, workers are arranged to eliminate fire risks in advance according to early warning, the probability of direct occurrence of fire behaviors is reduced, and the safety of forests is improved.

Description

Technical Field

[0001] The present invention relates to a forest fire risk monitoring station, in particular to a comprehensive forest fire risk factor early warning monitoring station applied in the field of forest fire prevention monitoring. Background Art

[0002] Forest fire prevention is the prevention of forest fires. Forest fires are the most dangerous enemy of forests and the most terrible disaster in forestry. They will bring the most harmful and devastating consequences to forests. Forest fires not only burn large tracts of forests and harm animals in the forests, but also reduce the reproductive capacity of forests, cause soil impoverishment, destroy forest water conservation, and even cause the ecological environment to lose balance.

[0003] The invention patent CN202110554925.0 discloses a forest fire monitoring system, which includes an information data processing module and a control module. The information data processing module is respectively connected to the image acquisition module, the sensor acquisition module and the storage module. When a forest fire occurs, the control module controls to issue control instructions respectively. After the execution module obtains the location information of the fire point from the input module, it starts the fire extinguishing under the control instruction issued by the control module. Under the control instruction issued by the control module, the data analysis and processing module obtains the data information stored in the storage module, analyzes the cause of the fire at the fire point, and realizes the purpose of intelligent fire extinguishing through the work of the execution module.

[0004] The invention patent CN202410040990.5 specification discloses a forest fire alarm system. The invention uses a drive motor to control the rotation of the screw in windy weather, so as to drive the lifting frame and the thermal imaging camera thereon to be retracted into the transparent ring frame in time, so as to block debris in the strong wind, avoid affecting forest fire monitoring, and increase safety.

[0005] In the existing technology, fire prevention is mostly done by detecting fires after they occur through image acquisition devices such as cameras. Although this can detect forest fires in time in the early stages and effectively control them, in forests with a lot of flammable materials, the extremely short reaction time can easily cause forest fires to develop to a point where they are difficult to control. Summary of the invention

[0006] In view of the above-mentioned prior art, the technical problem to be solved by the present invention is that although the prior art can detect forest fires in time in the early stage and effectively control the fires, in forests with a lot of flammable materials, the extremely short reaction time can easily cause the forest fires to develop to a point where they are difficult to control.

[0007] In order to solve the above problems, the present invention provides a comprehensive forest fire risk factor early warning monitoring station, including monitoring station auxiliary equipment, combustible moisture content sensor A and combustible moisture content sensor B. The monitoring station auxiliary equipment includes a mounting bracket, the mounting bracket is sequentially hung with a solar panel and a control equipment cabinet from top to bottom, the top of the mounting bracket is fixedly connected with a transverse bracket, and the two ends of the transverse bracket are respectively fixedly connected with a micro-meteorological sensor and an abnormal monitoring camera, and the control equipment cabinet contains a data processing module, a power management module and a communication module;

[0008] The micro-meteorological sensor detection objects include: wind speed, wind direction, air temperature, air humidity, atmospheric pressure, rainfall and light intensity;

[0009] The abnormal monitoring camera is an infrared and visible light dual-band intelligent camera, which can monitor the flames and detect intrusions around the comprehensive forest fire risk factor early warning monitoring station;

[0010] The measurement object of the combustible moisture sensor A is the litter on the ground. It has no less than 3 types of litter moisture measurement sensors to effectively measure the moisture content of different types of litter.

[0011] The detection modes of combustible moisture sensor B for phenological status are divided into visible light and near-infrared bands. It identifies and calculates GCC, EVI, NDVI and EXG phenological indicators based on AI, and measures the moisture content of the soil layer at the same time.

[0012] In the above-mentioned comprehensive forest fire risk factor early warning monitoring station, the multi-dimensional forest fire risk factors are automatically collected around the clock, providing an accurate, multi-dimensional and real-time big data source for the forest fire risk perception model, realizing early warning of fires, and arranging staff to eliminate fire risks in advance according to the early warning, thereby reducing the probability of direct fire and increasing forest safety.

[0013] As a further improvement of the present application, a connecting part is fixedly connected to a side of the transverse bracket close to the micrometeorological sensor, and the connecting part includes a storage tank located at the lower side of the transverse bracket, and a fixing part is fixedly connected to the upper side of the storage tank, and the fixing part passes through the transverse bracket and extends to the upper side of the transverse bracket. A traction part is inserted in the storage tank, and the traction part includes a traction rope, and the traction rope is filled with air-hardening gel material. One end of the traction rope located in the storage tank is fixedly connected to a push plate, and the end of the traction rope away from the push plate passes through the storage tank and is fixedly connected to a connecting ring, and the connecting ring is sleeved on the micrometeorological sensor. A through hole is drilled at the lower end of the storage tank, and the position matches the traction rope, and the diameter of the through hole is larger than the diameter of the traction rope. A sealing ball is fixedly connected to the traction rope. Once the connection between the transverse bracket and the micrometeorological sensor fails, the traction part serves as a safety structure to prevent the micrometeorological sensor from falling directly. At the same time, the outflowing air-hardening gel material is quickly solidified in the air, fixing the shape of the traction rope, reducing the amplitude of the continuous swing of the traction rope under the blowing of the forest wind, and is not easy to collide with the mounting bracket, and is not easy to cause secondary damage to the micrometeorological sensor.

[0014] As a further improvement of the present application, a protective part is provided on the outer side of the traction rope, and the two ends of the protective part are respectively fixedly connected to the storage tank and the connecting ring. The protective part is utilized to provide a certain degree of protection for the flowing aero-hardening gel material, so that it is not easy to scatter excessively under the action of forest wind, and a sufficient amount of aero-hardening gel material is left to complete the curing work of the traction rope.

[0015] As a further improvement of the present application, the protection part includes an elastic rubber ring, and a corrugated part is provided on a side of the elastic rubber ring close to the storage tank, so that the protection part can adapt to the length of the traction part stretched out from the storage tank.

[0016] As another improvement of the present application, the elastic rubber ring and the inner wall of the corrugated part are fixedly connected with filling fibers, and adjacent filling fibers are overlapped with each other to form a three-dimensional structure, thereby increasing the structural strength of the solidified air-hardening gel material after hardening, making it less likely to fail structurally under the action of forest wind.

[0017] As another improvement supplement to the present application, there is a gap between one end of the filling fiber away from the elastic rubber ring and the corrugated part and the traction rope, reserving a sufficient flow channel for the air-hardening gel material so that it can flow smoothly to the lower half of the traction part.

[0018] As a further improvement of the present application, a sealing ring is fixedly connected in the through hole, the sealing ring is in contact with the sealing ball, an impact ring with a size matching the sealing ring is fixedly connected to the traction rope, and the impact ring is located on the upper side of the sealing ball. During the falling process of the traction part, before the push plate contacts and collides with the bottom of the storage tank, the impact ring and the sealing ring will collide first and destroy the sealing ring. On the one hand, the impact between the impact ring and the sealing ring will greatly reduce the impulse of the micrometeorological sensor and reduce the impact of the push plate contacting with the bottom of the storage tank, making it easy to maintain stability of the auxiliary equipment of the monitoring station as a whole. On the other hand, it can also expand the flow rate at the through hole, which is not easy to cause blockage at the through hole.

[0019] To sum up, in this application, the comprehensive forest fire risk monitoring station is a detection device that integrates micrometeorological sensors, combustible moisture content sensor A and combustible moisture content sensor B, and can realize functions such as GPS positioning and self-state perception, realize all-weather automatic collection of multi-dimensional forest fire risk factors, and provide an accurate, multi-dimensional and real-time big data source for the forest fire risk perception model, so as to realize early warning of fires, and arrange staff to eliminate fire risks in advance according to the early warning, reduce the probability of direct fire, and increase forest safety.

[0020] At the same time, in response to the high humidity environment in the forest, a traction part is added to the micrometeorological sensor: in the forest environment, the air with high humidity will corrode the connection between the transverse bracket and the micrometeorological sensor, causing the connection of the micrometeorological sensor to fail. Once the connection between the micrometeorological sensor and the transverse bracket fails and falls from the transverse bracket, the micrometeorological sensor will not fall directly under the traction of the traction part, forming a first layer of protection for the micrometeorological sensor. At the same time, the air-hardening gel material stored in the storage tank will flow to the gap between the traction part and the protection part, quickly hardening the traction part and the protection part, so that the traction part and the protection part are changed from a flexible structure to a hard structure. The micrometeorological sensor is not easy to swing greatly under the action of forest wind, and is not easy to collide with the mounting bracket again, causing secondary damage to the micrometeorological sensor. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a schematic diagram of the structure of a forest fire risk factor early warning monitoring station according to the first embodiment of the present application;

[0022] Figure 2 This is a schematic diagram of the structure of the monitoring station auxiliary equipment according to the first embodiment of the present application;

[0023] Figure 3 This is a structural schematic diagram of a micrometeorological sensor installation method according to a second embodiment of the present application;

[0024] Figure 4 This is a schematic diagram of a partial cross-sectional structure of the micrometeorological sensor installation location according to the second embodiment of the present application;

[0025] Figure 5 for Figure 4 The structural diagram at A in the middle;

[0026] Figure 6 for Figure 4 The structural diagram at B in the middle;

[0027] Figure 7 This is a schematic structural diagram of a traction unit according to a second embodiment of the present application;

[0028] Figure 8 This is a schematic structural diagram of a protection portion according to a second embodiment of the present application;

[0029] Fig. 9 This is a schematic diagram of the connection part of the second embodiment of the present application changing with the working state;

[0030] Fig.10 This is a system diagram of the forest fire risk factor early warning monitoring station operating in the third implementation mode of this application.

[0031] Description of the numbers in the figure:

[0032] 1 Monitoring station auxiliary equipment, 101 mounting bracket, 102 control equipment cabinet, 103 solar panel, 104 horizontal bracket, 105 micro-meteorological sensor, 106 abnormal monitoring camera, 2 combustible moisture content sensor A, 3 combustible moisture content sensor B, 4 connecting part, 401 storage tank, 402 fixing part, 403 sealing ring, 5 traction part, 501 traction rope, 502 push plate, 503 connecting ring, 504 sealing ball, 505 impact ring, 6 protection part, 601 elastic rubber ring, 602 corrugated part, 603 filling fiber, 7 signal base station, 8 early warning platform, 9 positioning satellite, 10 ground radar. DETAILED DESCRIPTION

[0033] Three implementation modes of the present application are described in detail below with reference to the accompanying drawings.

[0034] The first implementation method:

[0035] Figure 1-2 A comprehensive forest fire risk factor early warning monitoring station is shown, including monitoring station auxiliary equipment 1, combustible moisture content sensor A2 and combustible moisture content sensor B3. The monitoring station auxiliary equipment 1 includes a mounting bracket 101, and the mounting bracket 101 is sequentially hung with a solar panel 103 and a control equipment cabinet 102 from top to bottom. The top of the mounting bracket 101 is fixedly connected to a transverse bracket 104, and the two ends of the transverse bracket 104 are respectively fixedly connected to a micro-meteorological sensor 105 and an abnormal monitoring camera 106. The control equipment cabinet 102 contains a data processing module, a power management module and a communication module;

[0036] The micro-meteorological sensor 105 detects objects including wind speed, wind direction, air temperature, air humidity, atmospheric pressure, rainfall and light intensity. The wind speed detection range is 0-70M / S, the resolution is 0.01M / S, and the accuracy is ±(0.5+0.002V)M / S, where V is the current wind speed. The wind direction detection range is 0-360°, the resolution is 0.1°, and the accuracy is ±2° (wind speed 10M / S). The air temperature detection range is -40-85°C, the resolution is 0.1°C, and the accuracy is ±0. 3℃, the detection range of air humidity is 0~100%RH, the resolution is 0.1%RH, the accuracy is ±3%RH, the detection range of atmospheric pressure is 300~1100hPa, the resolution is 0.1hPa, the accuracy is ±0.3hPa (25℃, 950~1050hPa), the detection range of rainfall is 0~240mm / H, the resolution is 0.1mm / H, the accuracy is ≤10%, the detection range of illuminance is 0~200KLUX, the resolution is 10LUX, the accuracy is 3%;

[0037] The abnormality monitoring camera 106 is an infrared and visible light dual-band intelligent camera with a working focal length of 4mm / 6mm / 8mm, a field of view of 64°×50° / 42°×50° / 32°×24°, a detection distance of 30m / 60m / 80m, and detection targets: flames and intruding objects; communication interface: RJ45, 2-way output and 1-way input, supported protocols: TCP / IP, HTTP and RTSP, with built-in embedded artificial intelligence chip to realize distributed fire detection and intrusion detection, centralized management, equipped with FireGPT fire detection large model and artificial intelligence recognition algorithm, it can realize flame monitoring and intrusion detection around the comprehensive forest fire risk factor early warning monitoring station, and protect the monitoring station from fire and illegal intrusion.

[0038] The measurement object of the combustible moisture sensor A2 is the surface litter (needle leaves / broad leaves / mixed needle and broad leaves / dead branches, etc.), with an effective measurement thickness of 1 to 20 cm. It is equipped with no less than 3 types of litter moisture measurement sensors, such as multi-spectrum, impedance, microwave, etc., which can effectively measure the moisture content of different types of litter, such as fallen leaves, dead grass, branches and their humus, etc. The multi-spectrum direct measurement of the surface layer of litter and the microwave / impedance direct measurement of the inner layer (microwave frequency 100MHZ~200MHZ) are used. The measurement range is: 0~100% mass moisture content, and the measurement accuracy is: when the moisture content of the litter is ≤40%, the average absolute error is ≤3%, and when the moisture content of the litter is >40%, the average absolute error is ≤8%, and the measurement resolution is: 0.1%;

[0039] The combustible material moisture sensor A2 has a built-in localized measurement model. The model data comes from more than 10,000 hours of experimental data. The experimental data comes from laboratory tests and field tests, and is tested by technical personnel to verify the feasibility and applicability of the solution, ensuring the accuracy and reliability of the solution's monitoring results. The combustible material moisture sensor A2 supports online, remote and cloud-based calibration, as well as automatic calibration of slowly changing litter and linkage calibration of phenological states. It has anti-rust and anti-corrosion capabilities, and is resistant to high and low temperatures and high radiation.

[0040] The detection modes of the combustible moisture content sensor B3 for phenological status are divided into visible light and near-infrared bands. The image resolution is dual-channel 1080P. It is based on AI to identify and calculate phenological indicators such as GCC (greenness index), EVI (enhanced vegetation index), NDVI (normalized vegetation index) and EXG (super green index). It provides RGB, RGB+NIR image data for analysis of greening, snow accumulation, dead leaf fireworks, etc., and can be reported on a timed and manual basis, and can be remotely controlled.

[0041] The measurement range of the combustible moisture sensor B3 for soil moisture content is 0~50%vol, the measurement depth is ≥10cm, the resolution is 0.1%, the accuracy error is ≤±3%, the surface temperature and humidity range is -40~125℃, the resolution is 0.01℃, the accuracy is ±0.3℃, the surface humidity measurement range is 0~100%RH, the resolution is 0.04%RH, the accuracy is ±2RH%, the inclination detection measurement range is X-axis: -180°~180°, static accuracy ±0.1°, dynamic accuracy ±0.5°, Y-axis: -90°~90°, static accuracy ±0.1°, dynamic accuracy ±0.5°, Z-axis: -180°~180°, Z-axis static accuracy ±0.5°, supports tilt, excavation, destruction, and mobile status alarm monitoring, supports system positioning of BDS / GPS satellite navigation system, and the positioning accuracy is 2.5M.

[0042] The forest fire risk comprehensive monitoring station is a detection device that integrates micro-meteorological sensor 105, combustible moisture content sensor A2 and combustible moisture content sensor B3, and can realize functions such as GPS positioning and self-state perception, realize all-weather automatic collection of multi-dimensional forest fire risk factors, and provide an accurate, multi-dimensional and real-time big data source for the forest fire risk perception model, so as to realize early warning of fires and arrange staff to eliminate fire risks in advance according to the early warning, reduce the probability of direct fire occurrence, and increase forest safety.

[0043] The second implementation method:

[0044] Figure 3-8A comprehensive forest fire risk factor early warning monitoring station is shown. A connecting part 4 is fixedly connected to one side of a transverse bracket 104 close to a micro-meteorological sensor 105. The connecting part 4 includes a storage tank 401 located at the lower side of the transverse bracket 104. A fixing part 402 is fixedly connected to the upper side of the storage tank 401. The fixing part 402 penetrates the transverse bracket 104 and extends to the upper side of the transverse bracket 104. A traction part 5 is inserted into the storage tank 401. The traction part 5 includes a traction rope 501. The traction rope 501 is filled with an air-hardening gel material, preferably epoxy resin glue, which is cured in the air for 5 to 15 minutes. The traction rope 501 is located at the storage tank 401. One end of the tank 401 is fixedly connected to a push plate 502, and the end of the traction rope 501 away from the push plate 502 passes through the storage tank 401 and is fixedly connected to a connecting ring 503. The connecting ring 503 is sleeved on the micrometeorological sensor 105, wherein the connecting ring 503 uses a lock with a structure similar to handcuffs to facilitate installation and disassembly, and at the same time, it is convenient to adjust the size of the connecting ring 503 to adapt to different models of micrometeorological sensors 105. A through hole is drilled at the lower end of the storage tank 401, and the diameter of the through hole is larger than the diameter of the traction rope 501. A sealing ball 504 is fixedly connected to the traction rope 501.

[0045] In the forest, due to the high humidity in the environment, the connection between the micrometeorological sensor 105 and the transverse bracket 104 is very likely to fail due to rust. Once the connection between the transverse bracket 104 and the micrometeorological sensor 105 fails, it is very likely to cause the micrometeorological sensor 105 to fall from the transverse bracket 104 and be damaged.

[0046] In the present application, once the connection between the transverse bracket 104 and the micrometeorological sensor 105 fails, the micrometeorological sensor 105 is very likely to fall under the blowing of the forest wind. The falling micrometeorological sensor 105 will drive the traction part 5 to pull the sealing ball 504 out of the through hole, and continue to pull the traction part 5 downward. At the same time, the traction rope 501 will squeeze out the air-hardening gel material filled in the storage tank 401 and flow downward along the traction rope 501. The air-hardening gel material quickly solidifies in the air, fixes the shape of the traction rope 501, reduces the amplitude of the continuous swinging of the traction rope 501 under the blowing of the forest wind, and is not easy to collide with the mounting bracket 101, and is not easy to cause damage to the micrometeorological sensor 105. At the same time, it is not easy to cause structural damage and failure of the mounting bracket 101, and is not easy to cause damage to the control equipment cabinet 102, the solar panel 103 and the abnormal monitoring camera 106.

[0047] A protective portion 6 is sleeved on the outer side of the traction rope 501, and the two ends of the protective portion 6 are fixedly connected to the storage tank 401 and the connecting ring 503 respectively. The protective portion 6 is used to protect the flowing air-hardening gel material to prevent it from being excessively scattered under the action of forest wind, leaving a sufficient amount of air-hardening gel material to complete the curing of the traction rope 501. The protective portion 6 includes an elastic rubber ring 601, and a corrugated portion 602 is provided on the side of the elastic rubber ring 601 close to the storage tank 401, so that the protective portion 6 can adapt to the length of the traction portion 5 stretched out from the storage tank 401.

[0048] The inner walls of the elastic rubber ring 601 and the corrugated portion 602 are fixedly connected with filling fibers 603, and adjacent filling fibers 603 overlap each other to form a three-dimensional structure, thereby increasing the structural strength of the solidified air-hardening gel material after hardening, making it less likely for the structure to fail under the action of forest wind. There is a gap between one end of the filling fiber 603 away from the elastic rubber ring 601 and the corrugated portion 602 and the traction rope 501, thereby reserving a sufficient flow channel for the air-hardening gel material so that it can flow smoothly to the lower half of the traction portion 5.

[0049] A sealing ring 403 is fixedly connected in the through hole, and the sealing ring 403 is in contact with the sealing ball 504. An impact ring 505 whose size matches the sealing ring 403 is fixedly connected to the traction rope 501, and the impact ring 505 is located on the upper side of the sealing ball 504. During the falling process of the traction part 5, before the push plate 502 contacts and collides with the bottom of the storage tank 401, the impact ring 505 and the sealing ring 403 will collide first and destroy the sealing ring 403. On the one hand, the impact between the impact ring 505 and the sealing ring 403 will greatly reduce the impulse of the micrometeorological sensor 105 and reduce the impact of the push plate 502 contacting and colliding with the bottom of the storage tank 401, so that the monitoring station auxiliary equipment 1 is easy to maintain stability as a whole. On the other hand, it can also expand the flow rate at the through hole, and it is not easy to get blocked at the through hole.

[0050] Compared with the first embodiment, in the present embodiment, a traction part 5 is added to the micrometeorological sensor 105: in the forest environment, the air with high humidity will corrode the connection between the transverse bracket 104 and the micrometeorological sensor 105, causing the connection failure of the micrometeorological sensor 105. Once the connection between the micrometeorological sensor 105 and the transverse bracket 104 fails and falls from the transverse bracket 104, the micrometeorological sensor 105 will not fall directly under the traction of the traction part 5, thus forming a first layer of protection for the micrometeorological sensor 105. At the same time, the air-hardening gel material stored in the storage tank 401 will flow to the gap between the traction part 5 and the protection part 6, and quickly harden the traction part 5 and the protection part 6, so that the traction part 5 and the protection part 6 are changed from a flexible structure to a hard structure. The micrometeorological sensor 105 is not easy to swing greatly under the action of the forest wind, and is not easy to collide with the mounting bracket 101 again, thus causing secondary damage to the micrometeorological sensor 105.

[0051] The third implementation method:

[0052] Fig.10 A comprehensive forest fire risk factor early warning monitoring system is shown. The forest fire risk factor early warning monitoring station is connected to a signal base station 7 and a positioning satellite 9 respectively, the signal base station 7 is connected to an early warning platform 8, the positioning satellite 9 is connected to a ground radar 10, and the ground radar 10 is connected to the early warning platform 8.

[0053] The layout of forest fire risk factor early warning detection stations is based on the complexity of mountainous terrain. The density of monitoring stations is planned according to the different fire risk levels and vegetation types in the region. The density of monitoring stations is appropriately increased in high fire risk areas and flammable vegetation types. Combined with satellite remote sensing, topography, forest resources and other data from positioning satellites 9 and ground radars 10, the Internet of Things, artificial intelligence, big data and other technologies are used to establish standard forest fire risk data. The data is tested and verified through a "laboratory test + field test" program to verify the accuracy of the fire risk data and ensure the accuracy and reliability of the program's monitoring results.

[0054] The data detected by the forest fire risk factor early warning detection station will be uploaded to the early warning platform 8 through the signal base station 7. The early warning platform 8 will calculate the ignition probability and fire spread deduction of the current monitoring area based on the meteorological data detected by the micrometeorological sensor 105 and the withered material related data detected by the combustible moisture content sensor A2 and the combustible moisture content sensor B3, and determine the current fire risk based on the results of the ignition probability and fire spread deduction.

[0055] In view of current practical needs, the above-mentioned implementation mode adopted in this application is not limited to the scope of protection. Various changes made within the knowledge scope of technical personnel in this field without departing from the concept of this application still fall within the scope of protection of the present invention.

Claims

1. A comprehensive forest fire risk factor early warning monitoring station, comprising a monitoring station auxiliary device (1), a combustible moisture content sensor A (2) and a combustible moisture content sensor B (3), characterized in that: The monitoring station auxiliary equipment (1) comprises a mounting bracket (101), on which a solar panel (103) and a control equipment cabinet (102) are hung in sequence from top to bottom, the top of the mounting bracket (101) is fixedly connected to a transverse bracket (104), and both ends of the transverse bracket (104) are respectively fixedly connected to a micro-meteorological sensor (105) and an abnormality monitoring camera (106), and the control equipment cabinet (102) contains a data processing module, a power management module and a communication module; The detection objects of the micro-meteorological sensor (105) include: wind speed, wind direction, air temperature, air humidity, atmospheric pressure, rainfall and light intensity; The abnormal monitoring camera (106) is an infrared and visible light dual-band intelligent camera, which monitors the flames and detects intrusions around the comprehensive forest fire risk factor early warning monitoring station; The combustible moisture content sensor A (2) measures the litter on the ground and is provided with at least three types of litter moisture content measurement sensors; The combustible moisture content sensor B (3) has two detection modes for phenological states: visible light and near-infrared bands. It identifies and calculates GCC, EVI, NDVI and EXG phenological indicators based on AI, and measures the moisture content of the soil layer at the same time.

2. A comprehensive forest fire risk factor early warning monitoring station according to claim 1, characterized in that: A connecting portion (4) is fixedly connected to one side of the transverse bracket (104) close to the micrometeorological sensor (105), the connecting portion (4) comprising a storage tank (401) located at the lower side of the transverse bracket (104), a fixing portion (402) is fixedly connected to the upper side of the storage tank (401), and the fixing portion (402) penetrates the transverse bracket (104) and extends to the upper side of the transverse bracket (104), a traction portion (5) is inserted into the storage tank (401), the traction portion (5) comprises a traction rope (501), and the traction rope (501) is filled with air-hardening The storage tank (401) is made of a gel material, one end of the traction rope (501) located in the storage tank (401) is fixedly connected to a push plate (502), one end of the traction rope (501) away from the push plate (502) passes through the storage tank (401) and is fixedly connected to a connecting ring (503), the connecting ring (503) is sleeved on the micrometeorological sensor (105), a through hole is drilled at the lower end of the storage tank (401) at a position matching the traction rope (501), and the diameter of the through hole is larger than the diameter of the traction rope (501), and a sealing ball (504) is fixedly connected to the traction rope (501).

3. A comprehensive forest fire risk factor early warning monitoring station according to claim 2, characterized in that: The outer side of the traction rope (501) is provided with a protective portion (6), and the two ends of the protective portion (6) are respectively fixedly connected to the storage tank (401) and the connecting ring (503).

4. A comprehensive forest fire risk factor early warning monitoring station according to claim 3, characterized in that: The protection portion (6) comprises an elastic rubber ring (601), and a corrugated portion (602) is provided on a side of the elastic rubber ring (601) close to the storage tank (401).

5. A comprehensive forest fire risk factor early warning monitoring station according to claim 4, characterized in that: The elastic rubber ring (601) and the inner wall of the corrugated portion (602) are fixedly connected with filling fibers (603), and adjacent filling fibers (603) are overlapped with each other to form a three-dimensional structure.

6. A comprehensive forest fire risk factor early warning monitoring station according to claim 5, characterized in that: There is a gap between the end of the filling fiber (603) away from the elastic rubber ring (601) and the corrugated portion (602) and the traction rope (501).

7. A comprehensive forest fire risk factor early warning monitoring station according to claim 2, characterized in that: A sealing ring (403) is fixedly connected in the through hole, and the sealing ring (403) contacts a sealing ball (504). An impact ring (505) whose size matches that of the sealing ring (403) is fixedly connected to the traction rope (501), and the impact ring (505) is located on the upper side of the sealing ball (504).

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