Intelligent fire extinguishing system

Abstract

The invention relates to an intelligent fire-fighting system, which comprises a fire-fighting helmet, monitoring equipment and an analysis command platform, the fire-fighting helmet and the monitoring equipment are respectively in wireless connection with the analysis command platform, the fire-fighting helmet is worn by a firefighter who enters a fire scene for rescue, and the monitoring equipment is pre-arranged at a plurality of positions in a building. The analysis command platform is used for generating a fire risk event early warning and formulating a rescue strategy, the fire scene condition is monitored through the fire fighting helmet worn by a firefighter and the monitoring equipment preinstalled in the building, the collected information is transmitted to the analysis command platform, the analysis command platform analyzes and processes the received fire scene information, and the rescue strategy is formulated. According to the method, fire hazard risk event early warning and rescue strategies are generated, firefighters are informed of related information of the fire scene and the rescue strategies through the fire fighting helmet and the monitoring equipment, the rescue efficiency is improved, meanwhile, the safety of rescue workers and trapped persons is guaranteed, and casualties are reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent fire fighting technology, and in particular to an intelligent fire fighting system. Background Art

[0002] Fire is a common and serious disaster. Among them, building fires, as a huge threat to the safety of human life, will cause significant property losses, and will also greatly increase the danger and difficulty of fire rescue work. In current building fire incidents, rescuers can only judge the basic situation of the fire scene by common indicators such as flame size, temperature, and smoke concentration. However, in the fire scene, in addition to open flames, high temperatures, and thick smoke that will threaten trapped people and firefighters, risk events caused by building structural damage and abnormal fire environment will also pose a serious threat to the safety of firefighters and trapped people. Among them, structural damage is a typical representative. These risk events not only increase the difficulty of rescue, but may also further increase casualties. Therefore, it is particularly important to warn of fire risk events, evaluate the development trend of fires, and formulate rescue strategies.

[0003] To sum up, building fires have a profound impact, great harm, and high difficulty in rescue. In addition, there is currently a lack of risk event warning, fire situation assessment, and rescue strategy formulation systems for fire rescue, which makes it impossible to guarantee the life safety of firefighters and trapped people, and fire rescue is difficult.

[0004] In view of this, the present invention provides an intelligent fire fighting system to solve the above technical problems. Summary of the invention

[0005] In view of the problems existing in the prior art, the purpose of the present invention is to provide an intelligent fire fighting system, which collects environmental information, building structure damage characteristics, distribution of trapped persons and real-time location of firefighters in the fire scene through fire helmets and pre-installed monitoring equipment in the building, and transmits the collected information to an analysis and command platform via radio signals; after processing and analysis by the analysis and command platform, a fire risk event warning is generated and a rescue strategy is formulated; while improving the rescue efficiency, the safety of the rescuers and the trapped persons themselves is guaranteed.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] The present invention proposes an intelligent fire fighting system, including a fire helmet, a monitoring device and an analysis and command platform, wherein the fire helmet and the monitoring device are wirelessly connected to the analysis and command platform respectively, and the fire helmet is worn by firefighters entering a fire scene for rescue, and is used to transmit the monitored fire scene image, type and concentration of harmful gases, smoke concentration, temperature, concentration of flammable and explosive gases, environmental noise information and the position of firefighters to the analysis and command platform and receive instructions issued by the analysis and command platform; the monitoring device is pre-arranged at multiple positions inside a building, and is used to transmit the monitored fire scene image, temperature and smoke concentration to the analysis and command platform and receive instructions issued by the analysis and command platform; the analysis and command platform is used to analyze the received fire scene image, type and concentration of harmful gases, smoke concentration, temperature, concentration of flammable and explosive gases, environmental noise information and the position of firefighters, generate a fire risk event warning, formulate a rescue strategy, and send the fire risk event warning and the rescue strategy to the fire helmet and the monitoring device.

[0008] Furthermore, the fire risk event warning is divided into building structure damage warning and other risk event warning, and the other risk event warning is divided into temperature risk event warning, smoke risk event warning, explosion risk event warning, harmful gas risk event warning, and structural component falling risk event warning.

[0009] Furthermore, the building structure damage warning is divided into a building structure mild damage warning, a building structure moderate damage warning, a building structure severe damage warning and a building structure danger warning according to the degree of damage; the analysis and command platform calculates the degree of damage of the building structure through a damage assessment function, and determines the type of building structure damage warning according to the calculation result. The damage assessment function is described by the following formula:

[0010] F=α*γ*(A+B+C)

[0011] The determination method of building structure damage warning type is as follows:

[0012]

[0013] Wherein, F is the total score of building structure damage, which is 100 when F>100; α is the structural importance coefficient, which is 1.5 when the structure is the main load-bearing structure and 1.0 when the structure is not the main load-bearing structure; γ is the structural high temperature coefficient, which is 1.2 when the structure temperature is above 200 degrees, 1.3 when the structure temperature is above 300 degrees, and 1.5 when the structure temperature is above 350 degrees; A represents the score of building structure appearance damage, B represents the score of building structure bearing capacity damage, and C represents the score of building structure deformation damage.

[0014] Furthermore, the fire helmet includes a helmet body, on which is provided a fire mask with integrated optical waveguide display function, an air filtering respirator, a lighting device, a bone conduction headset, a first signal transceiver, a warning light, a video monitoring module, an environmental monitoring module, a first data processor and a first power supply for powering the fire helmet as a whole. The first data processor and the first power supply are built into the helmet body, the first signal transceiver is electrically connected to the first data processor, the video monitoring module and the environmental monitoring module, and is wirelessly connected to the analysis and command platform, and the first data processor is electrically connected to the fire mask, the bone conduction headset and the warning light.

[0015] Furthermore, the video monitoring module includes a first camera and a second camera connected to a first power supply, the first camera and the second camera are connected to a first signal transceiver, the first camera is a thermal imaging camera, and the first camera and the second camera transmit the captured fire scene images to the analysis and command platform through the first signal transceiver.

[0016] Furthermore, second cameras are symmetrically arranged on both sides of the top of the helmet body.

[0017] Furthermore, the environmental monitoring module includes a harmful gas sensor, a smoke sensor, an ambient temperature sensor, a flammable and explosive gas concentration sensor, an environmental noise monitor and a built-in positioning chip, which are respectively connected to the first power supply, and the harmful gas sensor, smoke sensor, ambient temperature sensor, flammable and explosive gas concentration sensor, environmental noise monitor, and positioning chip are respectively electrically connected to the first signal transceiver.

[0018] Furthermore, the monitoring equipment includes a surveillance camera, a composite smoke and temperature sensor, a broadcast module, a second signal transceiver, a second data processor and a second power supply for powering the entire monitoring equipment. The second signal transceiver is electrically connected to the surveillance camera, the composite smoke and temperature sensor, the broadcast module, and the second data processor, and is wirelessly connected to the analysis and command platform.

[0019] Furthermore, the warning light is arranged around the lower edge of the helmet body, and when no risk warning is generated, the warning light maintains a yellow light; when a risk warning message is generated, the warning light changes from a yellow light to a flashing red light.

[0020] Furthermore, the rescue strategy includes rescue routes, distribution of trapped persons, on-site fire fighting facilities, and location information of escape routes.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] (1) The intelligent fire fighting system provided by the present invention includes a fire helmet, monitoring equipment pre-installed in a building, and an analysis and command platform. The fire scene building structure and environment detection can be achieved through the fire helmets worn by firefighters and the monitoring equipment pre-installed in the building. The fire scene building structure damage events, environmental information, and the distribution of trapped persons can be collected, and the collected information can be transmitted to the analysis and command platform. After receiving the fire scene information, the analysis and command platform obtains fire risk event warnings and rescue strategies through analysis and processing. The fire helmets and the monitoring equipment pre-installed in the building inform the firefighters and trapped persons of the relevant information of the fire scene, thereby improving the rescue efficiency while ensuring the safety of the rescuers and trapped persons.

[0023] (2) The intelligent fire fighting system provided by the present invention takes into account the threat to personnel safety posed by building structure damage. Fire helmets and monitoring equipment pre-installed in the building can transmit the fire scene images in the building to the analysis and command platform, so that the analysis and command platform can evaluate the degree of damage to the building structure, supplement the early warning of building structure damage that may occur in the fire scene, improve the safety of the rescue process, avoid the threat to the safety of firefighters and trapped personnel caused by building structure damage, and reduce casualties.

[0024] (3) The intelligent fire fighting system provided by the present invention analyzes and processes the received information on the command platform, and then informs the firefighters and trapped persons of the formulated rescue strategy, making the rescue routes of the firefighters and the escape routes of the trapped persons more intuitive, while improving the self-rescue rate of the trapped persons, significantly improving the rescue efficiency and reducing casualties. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall structure of the intelligent fire fighting system of the present invention;

[0026] Figure 2 It is a structural schematic diagram of the fire helmet of the present invention;

[0027] Figure 3 It is a structural schematic diagram of the monitoring device of the present invention;

[0028] Reference numerals:

[0029] 1. Helmet body, 2. Fireproof mask, 3. Air filtration respirator, 4. First camera, 5. Second camera, 6. Lighting device, 7. Bone conduction headphones, 8. Smoke sensor, 9. Ambient temperature sensor, 10. Inflammable and explosive gas concentration sensor, 11. Ambient noise monitor, 12. First signal transceiver, 13. Warning light, 14. Monitoring camera, 15. Composite smoke and temperature sensor, 16. Broadcast module, 17. Second signal transceiver. DETAILED DESCRIPTION

[0030] The embodiments of the present invention will be described in detail below with reference to examples, but those skilled in the art will understand that the following examples are only used to illustrate the present invention and should not be construed as limiting the scope of the present invention.

[0031] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and understandable, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0032] In the following description, specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in a variety of other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0033] refer to Figure 1 , Figure 2 and Figure 3 The present embodiment provides an intelligent fire fighting system, including a fire helmet, a monitoring device and an analysis and command platform, wherein the fire helmet and the monitoring device are wirelessly connected to the analysis and command platform respectively, and the fire helmet is worn by firefighters who enter a fire scene for rescue, and transmits the fire scene picture, the type and concentration of harmful gases, smoke concentration, temperature, concentration of flammable and explosive gases, environmental noise information and the position of the firefighters to the analysis and command platform while protecting the firefighters; the monitoring device is pre-arranged at multiple positions inside a building, and is used to transmit the fire scene picture, temperature and smoke concentration at each position inside the building to the analysis and command platform; the analysis and command platform analyzes the received fire scene picture, the type and concentration of harmful gases, smoke concentration, temperature, concentration of flammable and explosive gases, environmental noise information, generates a fire risk event warning, formulates a rescue strategy, and sends the fire risk event warning and the rescue strategy to the fire helmet and the monitoring device, so that the firefighters can successfully complete the task before the risk event occurs, and the trapped persons can be rescued safely, thereby improving the rescue efficiency and reducing casualties.

[0034] Furthermore, the fire helmet includes a helmet body 1, on which is provided a fire mask 2 with an integrated optical waveguide display function, an air filtering respirator 3, a lighting device 6, a bone conduction headset 7, a first signal transceiver 12, a warning light 13, a video monitoring module, an environmental monitoring module, a first data processor and a first power supply for supplying power to the fire helmet as a whole, wherein the first data processor and the first power supply are built into the helmet body 1, wherein the video monitoring module includes a first camera 4 and a second camera 5 connected to the first power supply, the first camera 4 is a thermal imaging camera, the second camera 5 is an ordinary camera, and the second camera 5 is preferably symmetrically arranged on both sides of the top of the helmet body 1, and the environmental monitoring module includes A harmful gas sensor, a smoke sensor 8, an ambient temperature sensor 9, a flammable and explosive gas concentration sensor 10, an ambient noise monitor 11 and a built-in positioning chip are respectively connected to the first power supply; the first signal transceiver 12 is electrically connected to the first data processor, the first camera 4, the second camera 5, the harmful gas sensor, the smoke sensor 8, the ambient temperature sensor 9, the flammable and explosive gas concentration sensor 10, the ambient noise monitor 11 and the positioning chip, and is wirelessly connected to the analysis and command platform; the first data processor is electrically connected to the fire mask 1, the bone conduction headset 7 and the warning light 13; the rescue strategy includes the rescue route, the distribution of trapped persons, the on-site fire-fighting facilities, and the location information of the escape route.

[0035] In this embodiment, the first camera 4 and the second camera 5 transmit the captured fire scene images to the analysis and command platform through the first signal transceiver 12. The first camera 4 is a thermal imaging camera. When the smoke concentration is high, the fire scene image can still be clearly presented. The harmful gas sensor, smoke sensor 8, ambient temperature sensor 9, flammable and explosive gas concentration sensor 10, ambient noise monitor 11 and positioning chip respectively transmit the type and concentration of harmful gases in the fire scene, smoke concentration, temperature, flammable and explosive gas concentration, ambient noise information, and firefighter position to the analysis and command platform through the first signal transceiver 12. The analysis and command platform sends the fire risk event warning and rescue strategy to the first data processor through the first signal transceiver 12. The first data processor processes the received information and transmits it to the fire mask 2, bone conduction headphones 7 and Warning light 13, fire mask 2 displays important information such as rescue strategy, environmental parameters, risk warning, remaining capacity of oxygen cylinder, etc. on the mask, and displays the position of each firefighter in the current rescue team, as well as firefighting facilities and escape route information in real time during the rescue process, so that firefighters can accurately understand the position information of other team members and the surrounding environment in the fire scene. At the same time, they can communicate with the analysis and command platform and other members of the rescue team in real time through bone conduction headphones 7 to improve rescue efficiency. The fire mask with integrated optical waveguide display function can isolate the fire scene from the damage of thermal radiation to firefighters and protect the safety of firefighters themselves; the air purifying respirator 3 can filter harmful gases, smoke and other substances in the air; the lighting device 6 can realize the lighting of the fire scene environment, and the harmful gas sensor can be integrated in the air purifying respirator to detect harmful gases and types in the fire scene.

[0036] Furthermore, the monitoring equipment includes a monitoring camera 14, a composite smoke and temperature sensor 15, a broadcasting module 16, a second signal transceiver 17, a second data processor and a second power supply for powering the entire monitoring equipment. The second signal transceiver is electrically connected to the monitoring camera 14, the composite smoke and temperature sensor 15, the broadcasting module 16, and the second data processor, and is wirelessly connected to the analysis and command platform. The monitoring equipment is pre-distributed at different positions inside the building for comprehensive monitoring of the internal conditions of the building. Each monitoring camera 14 can transmit the captured fire scene image to the analysis and command platform through the second signal transceiver 17. The analysis and command platform can extract the dynamics of trapped persons and building damage events. The composite smoke and temperature sensor 15 transmits the measured temperature and smoke concentration to the analysis and command platform through the second signal transceiver 17. The analysis and command platform transmits the fire risk event warning and rescue strategy to the second data processor through the second signal transceiver 17. The second data processor processes the received information and transmits it to the broadcasting module 16, which broadcasts the fire situation inside the building through the broadcasting module 16.

[0037] Furthermore, the warning light 13 is arranged around the lower edge of the helmet body 1. When no risk warning is generated, the warning light maintains a yellow light to serve as a reminder to firefighters; when a risk warning message is generated, the warning light changes from a yellow light to a flashing red light to serve as a warning to firefighters.

[0038] Furthermore, the fire risk event warnings generated by the analysis command platform include building structure damage warnings and other risk event warnings. The building structure damage warnings are divided into building structure slight damage warnings, building structure moderate damage warnings, building structure severe damage warnings and building structure danger warnings according to the degree of damage; other risk event warnings are further divided into temperature risk event warnings, smoke risk event warnings, explosion risk event warnings, harmful gas risk event warnings, and structural component falling risk event warnings;

[0039] For building structure damage warning, the analysis and command platform calculates the damage degree of the building structure through the damage assessment function, and determines the type of building structure damage warning based on the calculation results. The damage assessment function is:

[0040] F=α*γ*(A+B+C)

[0041] The determination method of building structure damage warning type is as follows:

[0042]

[0043] Wherein, F is the total score of building structure damage, when F>100, it is 100; α is the structural importance coefficient, when the structure is the main load-bearing structure, α is 1.5, when the structure is not the main load-bearing structure, α is 1.0; γ is the structural high temperature coefficient, when the structure temperature is above 200 degrees, γ is 1.2, when the structure temperature is above 300 degrees, γ is 1.3, when the structure temperature is above 350 degrees, γ is 1.5; A represents the score of building structure appearance damage, B represents the score of building structure bearing capacity damage, C represents the score of building structure use deformation damage, where the main load-bearing structures include load-bearing walls, load-bearing columns, main beams, horizontal and longitudinal beams, floor slabs, shear walls and brick-concrete walls.

[0044] The analysis platform can extract building structure damage events from the received fire scene images. Building structure damage events can generally be divided into three categories according to the damage form, namely, appearance damage, bearing capacity damage and use deformation damage. Building structure damage events can be further divided into Level I, Level II, Level III and Level IV according to the degree of damage, as shown in Table 1:

[0045] Table 1 Categories and rating criteria for building structure damage events

[0046]

[0047]

[0048]

[0049] The scores of injury events with different injury forms are different, and the scores of injury events with different injury degrees are also different, see Table 2:

[0050] Table 2 Scoring criteria for different injury forms

[0051]

[0052] For temperature risk event warning, the analysis and command platform can achieve this by determining whether the fire scene temperature reaches / exceeds the set temperature threshold and whether the temperature rise rate reaches / exceeds the set threshold. When the fire scene temperature or the temperature rise rate reaches / exceeds the corresponding set threshold, it is determined to be a temperature abnormality and a temperature risk event warning is generated.

[0053] For the dense smoke risk event warning, the analysis and command platform can achieve this by determining whether the smoke concentration reaches / exceeds the set threshold and whether the smoke concentration rising rate reaches / exceeds the set threshold. When the fire scene smoke concentration or the smoke concentration rising rate reaches / exceeds the corresponding set threshold, it is determined that the smoke concentration is abnormal and a dense smoke risk event warning is generated.

[0054] For explosion risk event warning, the analysis and command platform can achieve this by determining whether the concentration of flammable and explosive gases reaches / exceeds the set threshold and whether the rate of increase of the concentration of flammable and explosive gases reaches / exceeds the set threshold. When the concentration of flammable and explosive gases or the rate of increase of the concentration reaches / exceeds the corresponding set threshold, it is determined that the concentration of flammable and explosive gases is abnormal, and a fire scene explosion risk event warning is generated.

[0055] For the warning of harmful gas risk events, the analysis and command platform can be implemented by determining whether the toxic gas concentration reaches / exceeds the set threshold and whether the concentration rise rate threshold reaches / exceeds the set threshold. When the toxic gas concentration or the concentration rise rate reaches / exceeds the corresponding set threshold, it is determined that the toxic gas concentration is abnormal and a harmful gas risk event warning is generated;

[0056] For the early warning of the risk event of structural component falling, the analysis and command platform can make judgments based on the environmental noise information and the scene picture. When the environmental noise information extracts the abnormal sound caused by the falling of the structural component or the phenomenon of the falling of the structural component appears in the scene picture, it is judged that a structural component falling event has occurred in the fire scene, and an early warning of the risk event of structural component falling is generated.

[0057] The analysis and command platform integrates the acquired fire scene images, on-site images of various locations in the building, temperature, smoke concentration, flammable and explosive gas concentration, and toxic gas concentration information, and obtains rescue strategies based on the positions of firefighters, the dynamics of trapped persons, and the pre-acquired building structure diagrams. The rescue strategies are then sent to fire helmets and monitoring equipment, so that firefighters and trapped persons can quickly identify rescue routes, the distribution of trapped persons, the location information of on-site fire-fighting facilities and escape routes, and the rescue time, thereby improving rescue efficiency and minimizing casualties.

[0058] Although the present invention has been described in detail in this specification by means of general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements may be made thereto on the basis of the present invention. Therefore, these modifications or improvements made without departing from the present invention all fall within the scope of protection claimed by the present invention.

Claims

1. An intelligent fire fighting system, characterized in that: It includes a fire helmet, monitoring equipment and an analysis and command platform. The fire helmet and the monitoring equipment are wirelessly connected to the analysis and command platform respectively. The fire helmet is worn by firefighters entering the fire scene for rescue, and is used to transmit the monitored fire scene images, types and concentrations of harmful gases, smoke concentrations, temperatures, concentrations of flammable and explosive gases, environmental noise information and the positions of firefighters to the analysis and command platform and receive instructions issued by the analysis and command platform; the monitoring equipment is pre-arranged at multiple locations inside the building, and is used to transmit the monitored fire scene images, temperatures and smoke concentrations to the analysis and command platform and receive instructions issued by the analysis and command platform; the analysis and command platform is used to analyze the received fire scene images, types and concentrations of harmful gases, smoke concentrations, temperatures, concentrations of flammable and explosive gases, environmental noise information and the positions of firefighters, generate fire risk event warnings, formulate rescue strategies, and send the fire risk event warnings and rescue strategies to the fire helmets and monitoring equipment.

2. An intelligent fire fighting system according to claim 1, characterized in that: The fire risk event warning is divided into building structure damage warning and other risk event warning. Other risk event warnings are divided into temperature risk event warning, smoke risk event warning, explosion risk event warning, harmful gas risk event warning, and structural component falling risk event warning.

3. An intelligent fire fighting system according to claim 2, characterized in that: The building structure damage warning is divided into a building structure mild damage warning, a building structure moderate damage warning, a building structure severe damage warning and a building structure danger warning according to the degree of damage; The analysis and command platform calculates the damage degree of the building structure through the damage assessment function, and determines the type of building structure damage warning according to the calculation result. The damage assessment function is described by the following formula: F=α*γ*(A+B+C) The determination method of building structure damage warning type is as follows: Wherein, F is the total score of building structure damage, which is 100 when F>100; α is the structural importance coefficient, which is 1.5 when the structure is the main load-bearing structure and 1.0 when the structure is not the main load-bearing structure; γ is the structural high temperature coefficient, which is 1.2 when the structure temperature is above 200 degrees, 1.3 when the structure temperature is above 300 degrees, and 1.5 when the structure temperature is above 350 degrees; A represents the score of building structure appearance damage, B represents the score of building structure bearing capacity damage, and C represents the score of building structure deformation damage.

4. The intelligent fire fighting system according to claim 1, characterized in that: The fire helmet comprises a helmet body (1), on which a fire mask (2) with an integrated optical waveguide display function, an air filter respirator (3), an illuminating device (6), a bone conduction headset (7), a first signal transceiver (12), a warning light (13), a video monitoring module, an environmental monitoring module, a first data processor and a first power supply for supplying power to the fire helmet as a whole are arranged, wherein the first data processor and the first power supply are built into the helmet body, the first signal transceiver (12) is electrically connected to the first data processor, the video monitoring module and the environmental monitoring module, and is wirelessly connected to an analysis and command platform, and the first data processor is electrically connected to the fire mask (2), the bone conduction headset (7) and the warning light (13).

5. The intelligent fire fighting system according to claim 4, characterized in that: The video monitoring module comprises a first camera (4) and a second camera (5) connected to a first power supply, the first camera (4) and the second camera (5) being connected to a first signal transceiver (12), the first camera (4) being a thermal imaging camera, and the first camera (4) and the second camera (5) transmitting captured fire scene images to an analysis and command platform via the first signal transceiver (12).

6. The intelligent fire fighting system according to claim 5, characterized in that: Second cameras (5) are symmetrically arranged on both sides of the top of the helmet body (1).

7. The intelligent fire fighting system according to claim 4, characterized in that: The environmental monitoring module comprises a harmful gas sensor, a smoke sensor (8), an ambient temperature sensor (9), an inflammable and explosive gas concentration sensor (10), an ambient noise monitor (11) and a built-in positioning chip, each of which is connected to a first power source respectively; the harmful gas sensor, the smoke sensor (8), the ambient temperature sensor (8), the inflammable and explosive gas concentration sensor (10), the ambient noise monitor (9) and the positioning chip are respectively electrically connected to a first signal transceiver (12).

8. The intelligent fire fighting system according to claim 1, characterized in that: The monitoring device comprises a monitoring camera (14), a composite smoke and temperature sensor (15), a broadcast module (16), a second signal transceiver (17), a second data processor and a second power supply for supplying power to the entire monitoring device; the second signal transceiver (17) is electrically connected to the monitoring camera (14), the composite smoke and temperature sensor (15), the broadcast module (16), and the second data processor, and is wirelessly connected to the analysis and command platform.

9. The intelligent fire fighting system according to claim 1, characterized in that: The warning light (13) is arranged around the lower edge of the helmet body (1); when no risk warning is generated, the warning light (13) maintains a yellow light; when risk warning information is generated, the warning light (13) changes from a yellow light to a flashing red light.

10. The intelligent fire fighting system according to claim 1, characterized in that: The rescue strategy includes rescue routes, distribution of trapped persons, on-site fire fighting facilities, and location information of escape routes.

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