A forest fire prevention intelligent monitoring system and method based on big data

Abstract

The present application relates to a kind of forest fire prevention intelligent monitoring system and method based on big data, the forest fire prevention intelligent monitoring system based on big data, including monitoring headquarters, unmanned aerial vehicle, big database, algorithm module, data acquisition module, data analysis module, data storage module, data processing module, safe room, transmission module.The present application utilizes big data technology, and improves algorithm by temporary data packet, to further improve the accuracy of the algorithm for predicting whether forest fire will occur, for accurately curb the occurrence of fire from source.The present application monitors by dividing forest into several to be monitored areas, to effectively grasp forest fire prevention intelligence.In addition, by building safe room, it is more in line with the actual life, good feasibility, while it will significantly improve information transmission effect, especially in response to small-scale fire, the safety of trapped personnel has important significance.

Description

Technical Field

[0001] This invention relates to a forest fire prevention intelligent monitoring system and method based on big data, belonging to the field of forestry intelligent fire prevention technology. Background Technology

[0002] A forest fire requires specific conditions: combustible material, fire-prone weather, and a source of ignition. If any one of these conditions is missing, the fire will not occur. Scientific calculations show that human factors account for over 95% of fires. Therefore, abundant evidence demonstrates that forest fires are preventable. For example, strict human control over combustible material and ignition sources, along with accurate forecasting of fire-prone weather, can significantly reduce the occurrence of fires.

[0003] Currently, forest fire risk level prediction is mainly based on stacking algorithms. However, this method involves designing processing techniques for massive amounts of spatiotemporal data to achieve data-driven modeling, and then predicting forest fires based on the model. This technique only collects a large amount of data for modeling and analysis of each factor, such as combustibles, fire weather, and ignition sources, while igniting other important factors (such as geographical factors, forest factors, and human factors). Therefore, this algorithm has obvious limitations.

[0004] Current technological approaches primarily focus on emergency solutions and post-fire recovery for forest fires. However, there is a lack of corresponding technologies for controlling forest fires at their source to prevent them from igniting in the first place. Predictive methods also have limitations and gaps, leading to inaccurate results. Once a forest fire occurs, the losses are incalculable. Therefore, there is an urgent need for a big data-based intelligent forest fire monitoring system and method to accurately curb fires at their source. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a forest fire prevention intelligent monitoring system and method based on big data. The specific technical solution is as follows:

[0006] A big data-based intelligent monitoring method for forest fire prevention includes the following steps:

[0007] Step S1: Divide the forest into several monitoring areas, retrieve historical data of the monitoring areas from the big data database, and obtain the forest fire impact factor for each monitoring area; assign weights to the forest fire impact factors, and construct an initial prediction function F1 for the forest fire impact factors and predicting whether a fire will occur.

[0008] Step S2: Based on historical data in the big data database, real-time data collected in real time, and temporary data packets, perform deep learning and adjustment on the initial prediction function F1 to obtain a new prediction function F2; the output of the new prediction function F2 includes prompt information and alarm information;

[0009] When the output is a prompt message, the corresponding input value is input X. nt The alert message is transmitted to the safe house via the transmission module, and forest rangers are dispatched to conduct on-site inspections and provide feedback.

[0010] When the output is an alarm message, its corresponding input value is input X. ng Meanwhile, drones and forest rangers were dispatched to conduct on-site inspections and provide feedback;

[0011] Step S3: When the prompt message is verified as "incorrect" after on-site inspection, the prompt message and the input X are... nt Perform labeling, and record the prompt information and input X. nt Include in temporary data packets;

[0012] When the alarm message is verified as "error" after on-site inspection, the alarm message and input X are... nt Perform tagging, and record the alarm information and input X. nt Include in temporary data packets.

[0013] Further optimization of the above technical solution includes forest fire influencing factors such as climate factors, geographical factors, forest factors, seasonal factors, and anthropogenic factors. The climate factors include temperature, humidity, drought frequency, and precipitation. The geographical factors include landform, topography, and soil. The forest factors include tree density, canopy closure, stock volume, and afforestation density. The seasonal factors include the highest temperature in different seasons and the use of fire in different solar terms. The anthropogenic factors include the flow of people entering the forest and the occurrence of man-made fires.

[0014] Further optimization of the above technical solution involves obtaining the forest fire impact factors through a combination of three methods: algorithm capture, manual input, and custom settings.

[0015] Further optimization of the above technical solution involves setting up the safe house based on terrain features and drone cruising range. The safe house is equipped with an information receiving module for receiving alerts and alarms, a rest area for personnel, a storage area, a reporting area, and a drone parking and charging area.

[0016] The personnel include forest patrollers, forest firefighters, maintenance personnel, and forest police; the storage area stores living supplies and fire-fighting supplies, and the reporting area can send communication content to the monitoring headquarters; the drones temporarily stop and charge in the drone stopping and charging area.

[0017] A big data-based intelligent forest fire monitoring system includes a monitoring headquarters, drones, a big data database, an algorithm module, a data acquisition module, a data analysis module, a data storage module, a data processing module, a safe house, and a transmission module.

[0018] The drone is used for forest patrols;

[0019] The large database stores all historical data about the forest;

[0020] The algorithm module is used for computation;

[0021] The data acquisition module is used to acquire data;

[0022] The data analysis module is used to analyze data;

[0023] The data storage module is used to store data;

[0024] The data processing module is used to process data;

[0025] The transmission module is used to transmit data;

[0026] The forest is divided into several monitoring areas. Historical data of the monitoring areas are retrieved from the big data database. The forest fire impact factor of each monitoring area is obtained through the data processing module. An initial prediction function F1 is constructed in the algorithm module. Real-time data is collected through the data acquisition module. Based on the historical data in the big data database, the real-time data collected, and the temporary data packets, the initial prediction function F1 is subjected to deep learning and adjustment in the algorithm module to obtain a new prediction function F2.

[0027] The transmission module transmits the real-time data, temporary data packets, and output results of the new prediction function F2 to the monitoring headquarters, and stores them in the data storage module.

[0028] The monitoring headquarters analyzes the data through the data analysis module and decides whether to dispatch drones or forest rangers based on the analysis results; based on the patrol results of drones and forest rangers, the risk level is determined.

[0029] Further optimization of the above technical solution: a fireproof liquid storage tank is buried under the roof of the safe house; the walls of the safe house are arranged sequentially from the inside out as a decorative layer, a heat insulation and fireproof layer, a reinforced concrete layer, and a fireproof layer; the heat insulation and fireproof layer is made of fireproof rock wool board; the fireproof layer is made of fireproof board; the steel bars embedded in the reinforced concrete layer extend into the interior of the fireproof liquid storage tank; and several bundles of capillary tubes are also embedded in the reinforced concrete layer, with the upper end of the capillary tube bundle embedded inside the reinforced concrete layer and the lower end of the capillary tube bundle located inside the fireproof liquid storage tank.

[0030] The capillary assembly includes a cylindrical porous metal sleeve and seven capillary bundles disposed inside the porous metal sleeve. The porous metal sleeve is a metal tube with several circular holes distributed on its surface. The capillary bundles include a porous metal tube, six porous capillaries disposed inside the porous metal tube, and a reinforcing capillary coaxially arranged with the porous metal tube. The six porous capillaries surround the reinforcing capillary and are twisted. The porous capillaries are made of stainless steel capillaries, and several through holes are drilled on the surface of the stainless steel capillaries using laser drilling technology. The reinforcing capillary is formed by pressing the stainless steel capillaries to create three sides on its outer periphery, with an included angle of 60° between any two sides. The inner wall of the porous metal sleeve and the area between two adjacent capillary bundles form a triangular region, which is also filled with a porous capillary. The twist of the porous capillaries after twisting is 3~4 twists / meter.

[0031] Further optimization of the above technical solution: the capillary assembly comprises, from top to bottom, a cylindrical section, an inverted frustum section, and a pointed section with its tip pointing downwards. The cylindrical section is the upper section of a porous metal sleeve, the inverted frustum section is the lower section of the porous metal sleeve, and the pointed section is composed of the lower end of the porous capillary and the lower end of the reinforcing capillary. A sealing mechanism is installed at the lower part of the capillary assembly, and the sealing mechanism is located inside the fire-retardant liquid storage tank. The sealing mechanism includes a sealing sleeve fitted over the cylindrical section, the upper end of which is sealed to the outer wall of the cylindrical section. Both the inverted frustum section and the sharp section are disposed inside the sealing sleeve. A sealing plate is installed at the lower end of the sealing sleeve, and the sealing plate is disposed below the sharp section. The sealing plate includes an annular metal plate. The inner diameter of the metal plate is larger than the outer diameter of the lower end of the inverted frustum section, and the inner diameter of the metal plate is smaller than the outer diameter of the upper end of the inverted frustum section. A thin film layer is sealed to the inner ring of the metal plate. A first graphite layer is sealed to the outer periphery of the metal plate and the inner wall of the sealing sleeve. A retaining ring is disposed below the metal plate and is fixedly connected to the lower end of the sealing sleeve.

[0032] Further optimization of the above technical solution: A volcano-shaped, upward-protruding bulge is provided at the center of the bottom of the fire-retardant liquid storage tank. A driving mechanism for breaking the thin film layer is provided between the top of the fire-retardant liquid storage tank and the bulge. An annular groove is formed between the bulge and the side wall of the fire-retardant liquid storage tank. The sealing mechanisms are all arranged along the annular groove. A storage cavity for storing fire-retardant liquid is formed between the outer side of the driving mechanism and the inner wall of the fire-retardant liquid storage tank. The driving mechanism includes a thin film tube, a coated paper tube disposed in the center of the thin film tube, a slide rod coaxially disposed with the coated paper tube, and a pressure plate fixedly installed on the upper end of the slide rod. The upper end of the coated paper tube is sealed to the inner wall of the fire-retardant liquid storage tank, and the lower end of the coated paper tube is sealed to the bulge. An annular cavity is provided between the outer wall of the coated paper tube and the inner wall of the thin film tube, and the annular cavity stores... The fire retardant storage tank contains perfluorohexanone. The top of the tank has a perforation for a sliding rod. The upper end of the sliding rod and the pressure plate are both located above the storage tank. The lower end of the sliding rod is located inside a coated paper tube. An elastic ball is positioned between the lower end of the sliding rod and the bottom of the coated paper tube, and the elastic ball is fixedly connected to the bottom of the coated paper tube. A retaining ring is fixedly installed on the upper part of the sliding rod, located below the top of the storage tank. Multiple perforated metal plates are also fitted around the sliding rod, and these plates are fixedly connected to the sliding rod. An initiator storage area is located inside the coated paper tube, storing the initiator. A second graphite layer is sealed between the perforation and the sliding rod. A protective cover is installed above the top of the storage tank, and the pressure plate is located inside the protective cover.

[0033] In a further optimization of the above technical solution, the fire retardant liquid is prepared by mixing water, perfluorohexanone, and butylene tertrol in a mass ratio of 100:(50~60):(6~7).

[0034] In a further optimization of the above technical solution, the initiator is potassium chlorate, red phosphorus, and potassium bicarbonate in a mass ratio of (3.3~3.5):1:31.

[0035] The beneficial effects of this invention are:

[0036] This invention utilizes big data technology and improves the algorithm through temporary data packets, thereby further enhancing the accuracy of the algorithm for predicting whether forest fires will occur, and is used to precisely curb the occurrence of fires from the source.

[0037] This invention effectively gathers forest fire prevention intelligence by dividing forests into several monitored zones. Furthermore, the construction of safe houses makes them more practical and feasible, significantly improving information transmission efficiency, especially in responding to small-scale fires and ensuring the safety of trapped individuals. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of the wall structure of the safe house described in this invention;

[0039] Figure 2 This is a schematic diagram showing the connection of the fire retardant liquid storage tank and the capillary assembly described in this invention;

[0040] Figure 3 This is a schematic diagram of the internal structure of the drive mechanism described in this invention;

[0041] Figure 4 This is a schematic diagram showing the connection of the capillary assembly and packaging mechanism described in this invention;

[0042] Figure 5 This is a schematic diagram of the capillary assembly described in this invention;

[0043] Figure 6 This is a schematic diagram of the capillary bundle described in this invention;

[0044] Figure 7 This is a schematic diagram of the structure of the enhanced capillary described in this invention. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0046] Example 1

[0047] The big data-based intelligent forest fire monitoring system includes a monitoring headquarters, drones, a big data database, an algorithm module, a data acquisition module, a data analysis module, a data storage module, a data processing module, a safe house, and a transmission module.

[0048] The drone is used for forest patrols;

[0049] The large database stores all historical data about the forest;

[0050] The algorithm module is used for computation;

[0051] The data acquisition module is used to acquire data;

[0052] The data analysis module is used to analyze data;

[0053] The data storage module is used to store data;

[0054] The data processing module is used to process data;

[0055] The transmission module is used to transmit data;

[0056] The forest is divided into several monitoring areas. Historical data of the monitoring areas are retrieved from the big data database. The forest fire impact factor of each monitoring area is obtained through the data processing module. An initial prediction function F1 is constructed in the algorithm module. Real-time data is collected through the data acquisition module. Based on the historical data in the big data database, the real-time data collected, and the temporary data packets, the initial prediction function F1 is subjected to deep learning and adjustment in the algorithm module to obtain a new prediction function F2.

[0057] The transmission module transmits the real-time data, temporary data packets, and output results of the new prediction function F2 to the monitoring headquarters, and stores them in the data storage module.

[0058] The monitoring headquarters analyzes the data through the data analysis module and decides whether to dispatch drones or forest rangers based on the analysis results; based on the patrol results of drones and forest rangers, the risk level is determined.

[0059] The monitoring headquarters is staffed at all times, and in case of sudden emergencies, it can also be manually dispatched for handling.

[0060] Example 2

[0061] Based on Example 1, the big data-based intelligent forest fire monitoring method includes the following steps:

[0062] Step S1: Divide the forest into several monitoring areas, retrieve historical data of the monitoring areas from the big data database, and obtain the forest fire impact factor for each monitoring area; assign weights to the forest fire impact factors, and construct an initial prediction function F1 for the forest fire impact factors and predicting whether a fire will occur.

[0063] Step S2: Based on historical data in the big data database, real-time data collected in real time, and temporary data packets, perform deep learning and adjustment on the initial prediction function F1 to obtain a new prediction function F2; the output of the new prediction function F2 includes prompt information and alarm information;

[0064] When the output is a prompt message, the corresponding input value is input X. nt The alert message is transmitted to the safe house via the transmission module, and forest rangers are dispatched to conduct on-site inspections and provide feedback.

[0065] When the output is an alarm message, its corresponding input value is input X. ng Meanwhile, drones and forest rangers were dispatched to conduct on-site inspections and provide feedback;

[0066] Step S3: When the prompt message is verified as "incorrect" after on-site inspection, the prompt message and the input X are... ntPerform labeling, and record the prompt information and input X. nt Include in temporary data packets;

[0067] When the alarm message is verified as "error" after on-site inspection, the alarm message and input X are... nt Perform tagging, and record the alarm information and input X. nt Include in temporary data packets.

[0068] The forest fire influencing factors include climatic factors, geographical factors, forest factors, seasonal factors, and anthropogenic factors. The climatic factors include temperature, humidity, drought frequency, and precipitation. The geographical factors include landforms, topography, and soil. The forest factors include tree density, canopy closure, stock volume, and afforestation density. The seasonal factors include the highest temperature in different seasons and the use of fire in different solar terms. The anthropogenic factors include the flow of people entering the forest and the occurrence of man-made fires.

[0069] Furthermore, the forest fire impact factors are obtained through a combination of three methods: algorithm capture, manual input, and custom settings.

[0070] This invention utilizes big data technology and expands the influencing factors of forest fires to further improve the accuracy of the algorithm's predictions.

[0071] The "alert message" is a general warning, so the main approach is to dispatch forest rangers to conduct on-site inspections and provide feedback. In particular, for some "suspected dangers" that are difficult to identify, it is difficult to determine the cause using drones, so manual on-site inspections are the primary method of investigation.

[0072] Once the "prompt message" is clear, if it further develops into an "alarm message," then, as a warning message, the danger it represents is usually one with a clear and obvious outcome. Therefore, in most cases, it can be verified on-site using drones. However, as a precaution, it is still necessary to dispatch forest rangers to conduct on-site inspections and provide feedback. Using a dual verification method improves the accuracy of danger alerts.

[0073] If the "prompt message" and "alarm message" are both "false messages" after verification, it means that the algorithm's prediction is wrong. In this case, to further improve the accuracy of the algorithm, all the relevant data corresponding to the "prompt message" or "alarm message" that are "false messages" are included in a temporary data packet. Then, the algorithm is further trained and adjusted using the data in the temporary data packet to obtain a more optimized new prediction function F2, thereby improving the accuracy of the algorithm.

[0074] Example 3

[0075] In embodiment 1 or 2, the safe house is set up according to the terrain features and the drone's cruising range. The safe house is equipped with an information receiving module for receiving prompts and alarms, a rest area for personnel to rest, a storage area, a reporting area, and a drone parking and charging area.

[0076] The personnel include forest patrollers, forest firefighters, maintenance personnel, and forest police; the storage area stores living supplies and fire-fighting supplies, and the reporting area can send communication content to the monitoring headquarters; the drones temporarily stop and charge in the drone stopping and charging area.

[0077] The safe house can also be used as a communication point. Its setup must take into account the drone's cruising range and provide charging services. Drones can stop and charge at designated parking and charging areas. If personnel are on duty at the safe house, forest rangers can conduct nearby patrols upon receiving "alert messages" or "warning messages."

[0078] Forest patrollers, forest firefighters, maintenance personnel, forest police, and forest rangers can take temporary rest in the safe house.

[0079] The safe house stores living supplies and fire-fighting equipment, including tools, necessities, and fire extinguishers. Small fires can be extinguished promptly. The safe house also has fire-resistant features; in the event of a fire, trapped individuals can use it for temporary refuge, communication to report the situation, and to await rescue.

[0080] Example 4

[0081] like Figure 1 , 2 As shown, a fire retardant liquid storage tank 10 is buried under the roof of the safe house. The walls of the safe house are arranged sequentially from the inside out as follows: a decorative layer 1, a heat insulation and fireproof layer 2, a reinforced concrete layer 3, and a fireproof layer 4. The heat insulation and fireproof layer 2 is made of fireproof rock wool board, and the fireproof layer 4 is made of fireproof board. The steel bars embedded in the reinforced concrete layer 3 extend into the interior of the fire retardant liquid storage tank 10. Several bundles of capillary tubes 20 are also embedded in the reinforced concrete layer 3. The upper end of the capillary tubes 20 is embedded in the interior of the reinforced concrete layer 3, and the lower end of the capillary tubes 20 is located inside the fire retardant liquid storage tank 10.

[0082] The reinforced concrete layer 3 serves as the main structure, while the fireproof layer 4 and the heat-insulating fireproof layer 2 are used for general fire protection.

[0083] like Figures 5-7As shown, the capillary assembly 20 includes a cylindrical porous metal sleeve 22 and seven capillary bundles 21 disposed inside the porous metal sleeve 22. The porous metal sleeve 22 is a metal tube with a plurality of circular holes distributed on its surface. The capillary bundles 21 include a porous metal tube 213, six porous capillary tubes 212 disposed inside the porous metal tube 213, and a reinforcing capillary tube 211 coaxially arranged with the porous metal tube 213. The six porous capillary tubes 212 surround the reinforcing capillary tube 211 and are twisted together. The porous capillary 212 is made of stainless steel capillary, and several through holes are drilled on the surface of the stainless steel capillary using laser drilling technology; the reinforcing capillary 211 is made of stainless steel capillary with three sides 2111 formed by pressing on its outer periphery, and the included angle between any two sides 2111 is 60°; the inner wall of the porous metal sleeve 22 and the area between two adjacent capillary bundles 21 form a triangular region 23, and a porous capillary 212 is also filled in the triangular region 23; the twist of the porous capillary 212 after twisting is 3~4 twists / meter.

[0084] The fire retardant liquid storage tank 10 stores fire retardant liquid inside. The capillary tube assembly 20 contains multiple capillaries. In the event of a fire, the fire outside the safe house continuously heats the walls of the safe house, thereby continuously heating the reinforced concrete layer 3. The heat conduction of the steel reinforcement can continuously heat the fire retardant liquid inside the fire retardant liquid storage tank 10. The fire retardant liquid of this invention is specially formulated. When heated, some of it easily evaporates, resulting in an increase in the air pressure inside the fire retardant liquid storage tank 10. Combined with the dual effects of capillary action and positive pressure, the fire retardant liquid is forced to spread upward along the capillary tube assembly 20 and eventually permeate the interior of the reinforced concrete layer 3, further improving the flame retardant and fireproof effect of the reinforced concrete layer 3.

[0085] In this embodiment, the outer diameter of the stainless steel capillary can be 3.5 mm and the wall thickness can be 0.9 mm.

[0086] Due to the porous structure of the porous capillary 212, although it can effectively improve the evaporation of fire retardant liquid and its penetration into the reinforced concrete layer 3, it also results in a lower mechanical strength of the porous capillary 212 itself.

[0087] Therefore, by incorporating reinforced capillaries 211, the mechanical strength of the capillary bundle 21 itself can be effectively enhanced. Compared to untreated stainless steel capillaries, the mechanical strength can be further improved by incorporating reinforced capillaries 211; for example, the bending strength is 55 MPa.

[0088] However, the present invention uses a reinforced capillary 211, the included angle between any two sides 2111 is 60°; this makes the bending strength of the reinforced capillary 211 with the same outer diameter 76MPa, which is 38.2% higher.

[0089] The three sides 2111 are processed in a similar equilateral triangle shape, which can be achieved by stamping with V-grooves, and is also easy to demold.

[0090] If four sides 2111 are provided and processed in a similar square shape, the processing difficulty increases significantly, and demolding becomes inconvenient. Most importantly, the bending strength can only reach 78 MPa, which is not significantly different from the result corresponding to three sides 2111. Therefore, three sides 2111 are preferred.

[0091] The seven capillary bundles 21 inside the porous metal sleeve 22, as well as the triangular area 23, are also filled with a porous capillary 212; this arrangement maximizes space utilization.

[0092] Six porous capillaries 212 are twisted together, with the twist of the porous capillaries 212 after twisting being 3-4 twists per meter. With this configuration, the impact strength of the capillary bundle 21 of the present invention can reach 51 KJ / m. 2 .

[0093] If the six porous capillaries 212 are not twisted, the maximum impact strength of the corresponding capillary bundle will be 27 KJ / m. 2 .

[0094] Six porous capillaries 212 are twisted, with the twist of the porous capillaries 212 after twisting being 1~2 twists / meter. With this configuration, the maximum impact strength of the corresponding capillary bundle is 31 KJ / m. 2 .

[0095] Six porous capillaries 212 are twisted, with the twist of the porous capillaries 212 after twisting being 10~12 twists / meter. With this configuration, the maximum impact strength of the corresponding capillary bundle is 40 KJ / m. 2 .

[0096] Six porous capillaries 212 are twisted together, with the twist of the porous capillaries 212 after twisting being 20~22 twists / meter. With this configuration, the maximum impact strength of the corresponding capillary bundle is 16 KJ / m. 2 .

[0097] This indicates that, in this invention, twisting is better than not twisting; however, the twist degree can only be 3-4 twists / meter. Too little or too much twist will affect the impact strength of the capillary bundle 21.

[0098] Example 5

[0099] like Figure 4 As shown, the capillary assembly 20, from top to bottom, includes a cylindrical section 20a, an inverted frustum section 20b, and a pointed section 20c with its tip pointing downwards. The cylindrical section 20a is the upper section of the porous metal sleeve 22, the inverted frustum section 20b is the lower section of the porous metal sleeve 22, and the pointed section 20c is formed by the lower end of the porous capillary 212 and the lower end of the reinforcing capillary 211. A sealing mechanism 30 is installed at the lower part of the capillary assembly 20, and the sealing mechanism 30 is located inside the fire retardant liquid storage tank 10. The sealing mechanism 30 includes a sealing sleeve 31 fitted over the cylindrical section 20a, the upper end of which is sealed to the outer wall of the cylindrical section 20a. Both the inverted frustum section 20b and the sharp section 20c are disposed inside the sealing sleeve 31. A sealing plate is installed at the lower end of the sealing sleeve 31, and the sealing plate is disposed below the sharp section 20c. The sealing plate includes an annular metal plate 35. The inner diameter of the metal plate 35 is larger than the outer diameter of the lower end of the inverted frustum section 20b, and the inner diameter of the metal plate 35 is smaller than the outer diameter of the upper end of the inverted frustum section 20b. A thin film layer 34 is sealed to the inner ring of the metal plate 35. A first graphite layer 33 is sealed between the outer periphery of the metal plate 35 and the inner wall of the sealing sleeve 31. A retaining ring 32 is disposed below the metal plate 35, and the retaining ring 32 is fixedly connected to the lower end of the sealing sleeve 31.

[0100] Normally, the fire retardant liquid in the fire retardant storage tank 10 is effectively prevented from evaporating and kept stable by the sealing plate. Furthermore, even if there is liquid accumulation in the capillary tube assembly 20, it prevents the liquid from entering the interior of the fire retardant storage tank 10. The retaining ring 32 further prevents the sealing plate from falling off.

[0101] When the air pressure inside the fire retardant liquid storage tank 10 increases sharply, it forces the sealing plate to move upward, causing the first graphite layer 33 to rupture. Ultimately, the thin film layer 34 of the inner ring of the metal plate 35 is punctured by the sharp segment 20c, and the metal plate 35 eventually fits onto the inverted frustum segment 20b and gets stuck there. Under the pressure of the air, the fire retardant liquid inside the fire retardant liquid storage tank 10 eventually enters the interior of the sealing sleeve 31 and completely submerges the sharp segment 20c. Under the combined action of capillary action or air pressure, the fire retardant liquid is transported upward through the cylindrical segment 20a and eventually fills the interior of the reinforced concrete layer 3, thereby improving the flame retardant and fireproof effect of the reinforced concrete layer 3.

[0102] The first graphite layer 33 has good corrosion resistance and, after sealing, is soft and easily broken when subjected to a strong upward impact, thus achieving its intended purpose.

[0103] The metal plate body is preferably made of stainless steel.

[0104] Example 6

[0105] like Figure 2 , 3 As shown, the bottom center of the fire retardant liquid storage tank 10 has an upward-protruding, volcano-shaped protrusion 12. A driving mechanism 50 for breaking the thin film layer 34 is disposed between the top of the fire retardant liquid storage tank 10 and the protrusion 12. An annular groove 13 is formed between the protrusion 12 and the side wall of the fire retardant liquid storage tank 10. The sealing mechanisms 30 are all arranged along the annular groove 13. A storage cavity 11 for storing the fire retardant liquid is formed between the outer side of the driving mechanism 50 and the inner wall of the fire retardant liquid storage tank 10. The driving mechanism 50 includes a film cylinder 52, a coated paper cylinder 51 disposed in the center of the film cylinder 52, a slide rod 54 coaxially disposed with the coated paper cylinder 51, and a pressure plate 510 fixedly installed on the upper end of the slide rod 54. The upper end of the coated paper cylinder 51 is sealed to the inner wall of the fire retardant liquid storage tank 10, and the lower end of the coated paper cylinder 51 is sealed to the protrusion 12. An annular cavity 53 is provided between the outer wall of the coated paper cylinder 51 and the inner wall of the film cylinder 52, and the annular cavity 53 stores perfluorohexane. The fire retardant liquid storage tank 10 has a perforation at its top for sliding the slide rod 54. The upper end of the slide rod 54 and the pressure plate 510 are both located above the fire retardant liquid storage tank 10. The lower end of the slide rod 54 is located inside the coated paper tube 51. An elastic ball 55 is provided between the lower end of the slide rod 54 and the bottom of the coated paper tube 51. The elastic ball 55 is fixedly connected to the bottom of the coated paper tube 51. A retaining ring 58 is fixedly installed on the upper part of the slide rod 54. Below the top of the fire retardant liquid storage tank 10, multiple perforated metal plates 56 are fitted around the outside of the slide rod 54. The perforated metal plates 56 are fixedly connected to the slide rod 54. The inside of the coated paper tube 51 is also provided with an initiator storage area 57, which stores initiators. A second graphite layer 59 is sealed between the perforation and the slide rod 54. A protective cover 40 is installed on the top of the fire retardant liquid storage tank 10, and the pressure plate 510 is located inside the protective cover 40.

[0106] The reinforcing bars embedded in the reinforced concrete layer 3 also extend into the interior of the storage chamber 11. In this way, when a fire breaks out outside the safe house, the continuous high temperature will allow heat to be quickly transferred to the interior of the storage chamber 11 through the reinforcing bars, thereby heating the fire retardant liquid inside the storage chamber 11. This will effectively promote the vaporization of some components in the fire retardant liquid and ensure that there is sufficient air pressure inside the storage chamber 11.

[0107] Among them, the film tube 52 is a cylindrical body made of polytetrafluoroethylene film rolled up, and the coated paper tube 51 is a paper tube with a film coated on its surface.

[0108] When the walls outside the safe house are baked by a fire, personnel inside the safe house can open the protective cover 40 and use a pre-stored hammer to repeatedly strike the pressure plate 510 until the second graphite layer 59 breaks. Strike the pressure plate 510 again, causing the sliding rod 54 to move downwards. During this downward movement, the porous metal plate 56 will simultaneously move downwards. The initiator stored in the initiator storage area 57 will explode and produce a large amount of gas when repeatedly struck by the porous metal plate 56. The sudden increase in pressure and impact force will cause the membrane cylinder 52 to burst open. The perfluorohexanone inside the membrane cylinder 52 easily vaporizes at high temperatures, causing a rapid increase in pressure within the storage chamber 11. Finally, this will cause the first graphite layer 33 in the sealing plate to rupture, causing the sealing plate to move upwards.

[0109] The second graphite layer 59 normally serves a sealing function. However, due to the soft nature of graphite, the second graphite layer 59 will quickly crack when the slide bar 54 is subjected to continuous heavy impacts.

[0110] Since the initiating agent is solid, an elastic ball 55 is used to ensure that the pressure plate 510 can return to its original state after each heavy blow. When the pressure plate 510 moves downward, the elastic ball 55 is compressed. When the hammer leaves the pressure plate 510, the elastic ball 55 can cause the pressure plate 510 and the slide bar 54 to return to their initial state, making it convenient for subsequent heavy blows to follow.

[0111] The anti-reverse ring 58 is designed to effectively prevent the slide bar 54 from flying out and injuring people during a subsequent explosion.

[0112] The porous metal plate 56 employs a porous structure primarily to facilitate faster initiation of the initiating agent, leading to an explosion. If a conventional non-porous metal plate were used instead, its initiation efficiency would be lower than that of the porous metal plate 56 described in this invention.

[0113] When the coated paper tube 51 is burst open, the perfluorohexanone in the annular cavity 53 is easily vaporized. Under the dual action, the film tube 52 is also broken open, and finally the gas pressure inside the storage cavity 11 increases sharply.

[0114] The annular groove 13 makes it easier for the fire retardant liquid in the fire retardant liquid storage tank 10 to pass through the lower end of the capillary collector 20 and then be "absorbed".

[0115] Perfluorohexanone is a liquid at room temperature. Because its heat of vaporization is only 1 / 25 that of water, while its vapor pressure is 25 times that of water, it easily vaporizes and exists in a gaseous state. It primarily relies on endothermic reaction to extinguish fires. In terms of environmental protection, it is a truly green and environmentally friendly fire extinguishing agent.

[0116] While heptafluoropropane is relatively stable at room temperature, it decomposes at high temperatures, producing hydrogen fluoride, which has a pungent odor. Furthermore, heptafluoropropane is gaseous at room temperature and is difficult to store. Therefore, heptafluoropropane cannot be used as a substitute for perfluorohexanone.

[0117] Foam-based fire extinguishing agents are not applicable in this invention. In particular, once foam is formed, it generates significant resistance during capillary transport.

[0118] If carbon tetrachloride is used, a gas mask must be worn when extinguishing the fire, so this method is not applicable.

[0119] In the initial stage, the tetroxide solution is stored in storage chamber 11, and perfluorohexanone is stored in annular chamber 53. The two are stored separately in the initial stage to maximize stability. After the initiator detonates, perfluorohexanone quickly dissolves in the tetroxide solution to form a fire-retardant liquid.

[0120] The drive mechanism 50 is entirely mechanical and requires no electricity. It utilizes the explosion of the initiator upon impact to dissolve perfluorohexanone in butylene tertrol solution, thereby producing a fire retardant liquid. The two main components of the fire retardant liquid, butylene tertrol solution and perfluorohexanone, are stored separately, ensuring good stability.

[0121] Perfluorohexanone is easily vaporized, and combined with the initial explosive effect, 100 kg of fire retardant liquid and 95 capillary tubes with an outer diameter of 3 cm can cause the corresponding sealing plate to explode all at once.

[0122] If tetrafluorodibromoethane is used instead of perfluorohexanone, under the same conditions, the number of sealing plates that can be opened at once will not exceed 61.

[0123] If trimethoxyboroxane is used instead of perfluorohexanone, under the same conditions, the number of sealing plates that can be burst open at once will not exceed 53.

[0124] Example 7

[0125] In this embodiment, the fire retardant liquid is prepared by mixing water, perfluorohexanone, and butylene tertrol in a mass ratio of 100:(50~60):(6~7). The optimal ratio is 100:57:6.3.

[0126] Spread Performance Test

[0127] A 5-meter-high capillary tube assembly 20 is embedded inside a sealed chamber, with its lower end inside the chamber and its upper end above it. Test solution is poured into the chamber, and the chamber is then sealed and pressurized until the pressure reaches 202 kPa. Sampling paper sleeves, 10 cm high, are placed around the outer wall of the capillary tube assembly 20 every 20 cm; a PVC sleeve separates adjacent sleeves. The sampling paper sleeves can be cut open and removed with a knife, and secured with tape. After maintaining the pressure at 202 ± 2 kPa for 1 hour, the corresponding sampling paper sleeves are removed, soaked in deionized water, and analyzed using chromatography to determine if they contain the same components as those in the test solution.

[0128] In this embodiment, the fire retardant liquid was a mixture of water, perfluorohexanone, and butylene tert-methyl in a ratio of 100:57:6.3, and the test solution was a fire retardant liquid. Tests were conducted according to the "Spread Performance Test," and it was found that perfluorohexanone and butylene tert-methyl were still detected at a depth of 500 cm above the ground in the capillary assembly 20.

[0129] If perfluorohexanone is replaced with heptafluoropropane, water, heptafluoropropane, and butylenetetroxide are mixed in a ratio of 100:57:6.3 to form control solution 1. Tests are conducted according to the "Spread Performance Test," using control solution 1 as the test solution. It was found that heptafluoropropane was undetectable at 100 cm above the ground in capillary assembly 20, and butylenetetroxide was undetectable at 280 cm above the ground in capillary assembly 20.

[0130] If tetrafluorodibromoethane is used instead of perfluorohexanone, water, tetrafluorodibromoethane, and butylenetetroxide are mixed in a ratio of 100:57:6.3 to form control solution 2. Tests are conducted according to the "Spread Performance Test," using control solution 2 as the test solution. It was found that tetrafluorodibromoethane was undetectable at a height of 220 cm above the ground in capillary assembly 20, and butylenetetroxide was undetectable at a height of 260 cm above the ground in capillary assembly 20.

[0131] If trimethoxyboroxane is used instead of perfluorohexanone, water, trimethoxyboroxane, and butylenetetraethanolamine are mixed in a ratio of 100:57:6.3 to form control solution 3. Tests were conducted according to the "Spread Performance Test," using control solution 3 as the test solution. It was found that trimethoxyboroxane was undetectable at 180 cm above the ground in capillary assembly 20, and butylenetetraethanolamine was undetectable at 200 cm above the ground in capillary assembly 20.

[0132] In this invention, when the ignition agent explodes, the gas pressure inside the fire retardant storage tank 10 exceeds 202 kPa.

[0133] In fire retardant liquids, butylenetetroxide improves the surface properties of the liquid within capillary tubes, allowing it to spread upwards to a sufficiently high height under the combined effects of capillary action and gas pressure. This means that the present invention can deliver the fire retardant liquid to a height of 5 meters through the capillary tube assembly 20, thereby filling the reinforced concrete layer 3 of the 5-meter-high safety building with fire retardant liquid. With a continuous supply of fire retardant liquid to the reinforced concrete layer 3, and considering 100 kg of fire retardant liquid and a total area of ​​380 square meters for the reinforced concrete layer 3, the fire retardant liquid can continue to evaporate from the surface of the reinforced concrete layer 3 for 3 hours under external fire conditions (wood fire), thus providing fire protection.

[0134] If the capillary tube assembly 20 is made of stainless steel with a large inner diameter (e.g., 1cm), although the height of the fire retardant spread will certainly exceed 5cm, the fire retardant will evaporate quickly in the event of a large fire. The main function of the capillary tube is to store water, allowing the fire retardant to evaporate continuously and slowly.

[0135] Example 8

[0136] In this embodiment, the initiator is potassium chlorate, red phosphorus, and potassium bicarbonate in a mass ratio of (3.3~3.5):1:31. The ratio can be 3.5:1:31.

[0137] Potassium chlorate and red phosphorus, when mixed, are prone to explosion upon impact or compression, producing phosphorus pentoxide and potassium chloride. Potassium chlorate and red phosphorus produce no smoke, odor, or sparks during the explosion, making them relatively safe.

[0138] If ammonium nitrate, which is equally explosive upon impact, is used, firstly, ammonium nitrate is highly soluble in water and easily absorbs moisture, clumps, and deteriorates; secondly, ammonium nitrate is far more sensitive to impact than an initiator.

[0139] The impact sensitivity of a mixture of potassium chlorate and red phosphorus is very high. When potassium bicarbonate is mixed, for example, potassium chlorate, red phosphorus, and potassium bicarbonate are mixed in a mass ratio of 3.5:1:5, the impact sensitivity is: 100% explosion sensitivity when a 500g hammer is dropped from a height of 20cm.

[0140] When potassium chlorate, red phosphorus, and potassium bicarbonate are mixed in a mass ratio of 3.5:1:31, the impact sensitivity is: 80% explosion sensitivity when a 10kg hammer is dropped from a height of 10cm. This impact sensitivity ensures high safety and avoids the potential hazards caused by accidental, occasional impacts to the pressure plate 510.

[0141] Only by removing the protective cover 40 and continuously hammering the pressure plate 510 can the initiator be detonated, ensuring good safety.

[0142] Furthermore, potassium bicarbonate decomposes in large quantities at 140℃, producing gas, which can further promote the bursting of the coated paper tube 51. Potassium bicarbonate is more stable in air than sodium bicarbonate.

[0143] When potassium chlorate, red phosphorus, and potassium bicarbonate are mixed in a mass ratio of 3.5:1:43, the impact sensitivity is: 60% of the explosion sensitivity when a 15kg hammer is dropped from a height of 20cm.

[0144] If the proportion of potassium bicarbonate is too high, the impact sensitivity will be lower, requiring more hammering force and more effort; furthermore, it will also cause the volume of the coated paper tube 51 to increase, which is not conducive to its bursting.

[0145] Therefore, based on practical application, potassium chlorate, red phosphorus, and potassium bicarbonate were mixed in a mass ratio of 3.5:1:31.

[0146] If potassium bicarbonate is replaced with potassium sulfate, with 100 kg of fire retardant liquid and 95 capillary tubes with an outer diameter of 3 cm, the number of sealing plates that can be burst open at one time will not exceed 73.

[0147] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A forest fire prevention intelligent monitoring system based on big data, characterized in that: This includes a monitoring headquarters, drones, a big data database, algorithm modules, data acquisition modules, data analysis modules, data storage modules, data processing modules, a secure data center, and transmission modules. The drone is used for forest patrols; The large database stores all historical data about the forest; The algorithm module is used for computation; The data acquisition module is used to acquire data; The data analysis module is used to analyze data; The data storage module is used to store data; The data processing module is used to process data; The transmission module is used to transmit data; The forest is divided into several monitoring areas. Historical data of the monitoring areas are retrieved from the big data database. The forest fire impact factor of each monitoring area is obtained through the data processing module. An initial prediction function F1 is constructed in the algorithm module. Real-time data is collected through the data acquisition module. Based on the historical data in the big data database, the real-time data collected, and the temporary data packets, the initial prediction function F1 is subjected to deep learning and adjustment in the algorithm module to obtain a new prediction function F2. The transmission module transmits the real-time data, temporary data packets, and output results of the new prediction function F2 to the monitoring headquarters, and stores them in the data storage module. The monitoring headquarters analyzes the data through the data analysis module and decides whether to dispatch drones or forest rangers based on the analysis results; based on the patrol results of drones and forest rangers, the risk level is determined. The safe house has a fireproof liquid storage tank (10) buried under the roof. The walls of the safe house are arranged from the inside out as follows: a decorative layer (1), a heat insulation and fireproof layer (2), a reinforced concrete layer (3), and a fireproof layer (4). The heat insulation and fireproof layer (2) is made of fireproof rock wool board, and the fireproof layer (4) is made of fireproof board. The steel bars embedded in the reinforced concrete layer (3) extend into the interior of the fireproof liquid storage tank (10). The reinforced concrete layer (3) is also embedded with a number of bundle-shaped capillary bundles (20). The upper end of the capillary bundles (20) is embedded in the interior of the reinforced concrete layer (3), and the lower end of the capillary bundles (20) is located inside the fireproof liquid storage tank (10). The capillary assembly (20) includes a cylindrical porous metal sleeve (22) and seven capillary bundles (21) disposed inside the porous metal sleeve (22). The porous metal sleeve (22) is a metal tube with several circular holes distributed on its surface. The capillary bundles (21) include a porous metal tube (213), six porous capillaries (212) disposed inside the porous metal tube (213), and a reinforcing capillary (211) coaxially arranged with the porous metal tube (213). The six porous capillaries (212) surround the reinforcing capillary (211), and the six porous capillaries (212) are twisted. The porous capillary (212) is made of stainless steel capillary, and several through holes are drilled on the surface of the stainless steel capillary using laser drilling technology; the reinforcing capillary (211) is made of stainless steel capillary with three sides (2111) formed by pressing on its outer periphery, and the included angle between any two sides (2111) is 60°; the area between the inner wall of the porous metal sleeve (22) and the area between two adjacent capillary bundles (21) forms a triangular area (23), and a porous capillary (212) is also filled in the triangular area (23); the twist of the porous capillary (212) after twisting is 3~4 twists / meter.

2. The intelligent forest fire monitoring system based on big data according to claim 1, characterized in that: The capillary assembly (20) comprises, from top to bottom, a cylindrical section (20a), an inverted frustum section (20b), and a pointed section (20c) with its tip pointing downwards. The cylindrical section (20a) is the upper section of the porous metal sleeve (22), the inverted frustum section (20b) is the lower section of the porous metal sleeve (22), and the pointed section (20c) is composed of the lower end of the porous capillary (212) and the lower end of the reinforcing capillary (211). A sealing mechanism (30) is installed at the lower part of the capillary assembly (20), and the sealing mechanism (30) is located inside the fire retardant liquid storage tank (10). The sealing mechanism (30) includes a sealing sleeve (31) fitted outside the cylindrical section (20a), the upper end of which is sealed to the outer wall of the cylindrical section (20a). Both the inverted frustum section (20b) and the sharp section (20c) are located inside the sealing sleeve (31). A sealing plate is installed at the lower end of the sealing sleeve (31). The sealing plate is located below the sharp section (20c). The sealing plate includes an annular metal plate (35). The inner diameter of the metal plate (35) is larger than the outer diameter of the lower end of the inverted frustum section (20b). The inner diameter of the metal plate (35) is smaller than the outer diameter of the upper end of the inverted frustum section (20b). A thin film layer (34) is sealed to the inner ring of the metal plate (35). A first graphite layer (33) is sealed between the outer periphery of the metal plate (35) and the inner wall of the sealing sleeve (31). A retaining ring (32) is provided below the metal plate (35). The retaining ring (32) is fixedly connected to the lower end of the sealing sleeve (31).

3. The intelligent forest fire monitoring system based on big data according to claim 2, characterized in that: The bottom center of the fire retardant liquid storage tank (10) is provided with an upward-protruding, volcano-shaped protrusion (12). A driving mechanism (50) for breaking the thin film layer (34) is provided between the top of the fire retardant liquid storage tank (10) and the protrusion (12). An annular groove (13) is formed between the protrusion (12) and the side wall of the fire retardant liquid storage tank (10). The sealing mechanisms (30) are all arranged along the annular groove (13). A storage cavity (11) for storing fire retardant liquid is formed between the outer side of the driving mechanism (50) and the inner wall of the fire retardant liquid storage tank (10). The actuating mechanism (50) includes a film tube (52), a coated paper tube (51) disposed in the center of the film tube (52), a slide rod (54) coaxially disposed with the coated paper tube (51), and a pressure plate (510) fixedly installed on the upper end of the slide rod (54). The upper end of the coated paper tube (51) is sealed to the inner wall of the fire retardant storage tank (10), and the lower end of the coated paper tube (51) is sealed to the protrusion (12). An annular cavity (53) is provided between the outer wall of the coated paper tube (51) and the inner wall of the film tube (52). Perfluorohexanone is stored in the annular cavity (53). The top of the fire retardant liquid storage tank (10) is provided with a through hole for sliding the slide rod (54). The upper end of the slide rod (54) and the pressure plate (510) are both located above the fire retardant liquid storage tank (10). The lower end of the slide rod (54) is located inside the coated paper tube (51). An elastic ball (55) is provided between the lower end of the slide rod (54) and the bottom of the coated paper tube (51). The elastic ball (55) is fixedly connected to the bottom of the coated paper tube (51). A retaining ring (58) is fixedly installed on the upper part of the slide rod (54). The retaining ring (58) is provided with... Below the top of the fire retardant liquid storage tank (10), a plurality of porous metal plates (56) are fitted on the outside of the slide rod (54). The porous metal plates (56) are fixedly connected to the slide rod (54). The inside of the coated paper tube (51) is also provided with an initiator storage area (57), which stores initiators. A second graphite layer (59) is sealed between the perforation and the slide rod (54). A protective cover (40) is installed above the top of the fire retardant liquid storage tank (10), and the pressure plate (510) is located inside the protective cover (40).

4. The intelligent forest fire monitoring system based on big data according to claim 3, characterized in that: The fire retardant liquid is made by mixing water, perfluorohexanone, and butylene tertrol in a mass ratio of 100:(50~60):(6~7).

5. The intelligent forest fire monitoring system based on big data according to claim 3, characterized in that: The initiator is potassium chlorate, red phosphorus, and potassium bicarbonate in a mass ratio of (3.3~3.5):1:

31.

6. A forest fire prevention intelligent monitoring method based on big data, characterized in that, The forest fire prevention intelligent monitoring system based on big data, as described in claim 1, is implemented by including the following steps: Step S1: Divide the forest into several monitoring areas, retrieve historical data of the monitoring areas from the big data database, and obtain the forest fire impact factor for each monitoring area; assign weights to the forest fire impact factors, and construct an initial prediction function F1 for the forest fire impact factors and predicting whether a fire will occur. Step S2: Based on historical data in the big data database, real-time data collected in real time, and temporary data packets, perform deep learning and adjustment on the initial prediction function F1 to obtain a new prediction function F2; the output of the new prediction function F2 includes prompt information and alarm information; When the output is a prompt message, the corresponding input value is input X. nt The alert message is transmitted to the safe house via the transmission module, and forest rangers are dispatched to conduct on-site inspections and provide feedback. When the output is an alarm message, its corresponding input value is input X. ng Meanwhile, drones and forest rangers were dispatched to conduct on-site inspections and provide feedback; Step S3: When the prompt message is verified as "error" after on-site inspection, the prompt message and the input X are... nt Perform labeling, and record the prompt information and input X. nt Include in temporary data packets; When the alarm message is verified as "error" after on-site inspection, the alarm message and input X are... nt Perform tagging, and record the alarm information and input X. nt Included in temporary data packets.

7. The intelligent forest fire monitoring method based on big data according to claim 6, characterized in that: The factors influencing forest fires include climatic factors, geographical factors, forest factors, seasonal factors, and anthropogenic factors. The climatic factors include temperature, humidity, drought frequency, and precipitation. The geographical factors include landforms, topography, and soil. The forest factors include tree density, canopy closure, stock volume, and afforestation density. The seasonal factors include the highest temperature in different seasons and the use of fire during different solar terms. The anthropogenic factors include the flow of people entering the forest and the occurrence of man-made fires.

8. The intelligent forest fire monitoring method based on big data according to claim 6, characterized in that: The forest fire impact factors were obtained through a combination of three methods: algorithmic data collection, manual input, and custom settings.

9. A forest fire prevention intelligent monitoring method based on big data according to claim 6, characterized in that: The safe house is designed based on the terrain features and the drone's cruising range. It includes an information receiving module for receiving alerts and alarms, a rest area for personnel, a storage area, a reporting area, and a drone parking and charging area. The personnel include forest patrollers, forest firefighters, maintenance personnel, and forest police; the storage area stores living supplies and fire-fighting supplies, and the reporting area can send communication content to the monitoring headquarters; the drones temporarily stop and charge in the drone stopping and charging area.

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