Fire scene structure early warning method based on fire rescue helmet technology

Abstract

The invention discloses a fire scene structure early warning method based on a fire rescue helmet technology, relates to the field of fire rescue, and solves the problem that the structure and hazard data in a fire scene cannot be effectively and accurately analyzed due to on-site analysis or establishment of a rescue method based on previous data during fire rescue in the fire scene at present. Obtaining an area structure map of the rescue area, and obtaining area structure data of the rescue area according to the area structure map; s2, acquiring rescue path data of a rescued object and an escape exit in the rescue area based on the real-time position; s3, analyzing a fire scene early warning level of the rescue area based on the construction data and the rescue path data; s4, setting rescue configuration of the rescue area in combination with the fire scene early warning level; and S5, updating the fire scene early warning level of the rescue area during rescue. According to the invention, intelligent early warning analysis of the fire scene structure condition is realized based on data analysis.

Description

Technical Field

[0001] The invention belongs to the technical field of fire fighting, and in particular to a fire scene structure early warning method based on fire fighting and rescue helmet technology. Background Art

[0002] Firefighting is the elimination of hidden dangers and the prevention of disasters, that is, the prevention and resolution of man-made, natural and accidental disasters that people encounter in their lives, work and studies. Of course, the meaning of firefighting in the early days of people's understanding is: (extinguishing) fire. It mainly includes the rescue of personnel at the fire scene, the rescue of important facilities and equipment, cultural relics, the security and rescue of important property, and the extinguishing of fires. The purpose is to reduce the degree of damage caused by fire and reduce casualties and property losses.

[0003] Currently, when firefighters are rescuing a fire scene, they usually quickly analyze the scene or past data to get a set of rescue methods. Although this method is fast, it cannot effectively analyze the structure and hazard data in the fire scene, thus increasing the risk of rescue. To this end, the present invention proposes a fire scene structure early warning method based on fire rescue helmet technology. Summary of the invention

[0004] The purpose of the present invention is to propose a fire scene structure early warning method based on fire rescue helmet technology to solve the problems raised in the above background technology.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A fire scene structure early warning method based on fire rescue helmet technology is as follows: Step S1, obtaining a regional structural map of the rescue area, and obtaining regional structural data of the rescue area according to the regional structural map; Step S2, obtaining rescue path data of the rescued object and the escape exit in the rescue area based on the real-time position; Step S3, analyzing the fire warning level of the rescue area based on the construction data and the rescue path data; Step S4, setting the rescue configuration of the rescue area in combination with the fire warning level; Step S5, updating the fire warning level of the rescue area during rescue.

[0006] Furthermore, the step S1 includes the following sub-steps: Step S11, uploading the regional structural drawing to the drawing processing software, and marking the load-bearing components, electrical equipment, and flammable materials of the regional structural drawing through the marking function of the drawing processing software; Step S12, counting the number of load-bearing components in the regional structural diagram to obtain the number of load-bearing components in the regional structural diagram; Step S13, counting the number of electrical devices in the regional structure diagram to obtain the number of electrical devices in the regional structure diagram; Step S14, counting the number of inflammable objects in the regional structure map to obtain the number of inflammable objects in the regional structure map; Step S15, obtaining the area of ​​the rescue area through the regional structure map; Step S16, the area of ​​the region, the number of load-bearing components, the number of gas equipment and the number of flammable materials together constitute the structural data of the rescue area.

[0007] Furthermore, the step S2 includes the following sub-steps: Step S21, uploading the real-time position of the rescued object in the rescue area in real time; Step S22, obtaining the real-time position of the escape exit corresponding to the rescue area through the regional structure map; Step S23, obtaining a rescue path between the rescued object in the rescue area and the escape exit according to the real-time position, and calculating the rescue distance between the rescued object in the rescue area and the corresponding rescue path of the escape exit by using a distance formula; Step S24, obtaining the load-bearing components, gas equipment and flammable materials along the rescue path, and taking the load-bearing components, gas equipment and flammable materials as rescue hazard sources of the rescue path, and counting the number of rescue hazard sources to obtain the number of rescue hazard sources of the rescue path corresponding to the rescue area; Step S25, taking the rescue path, the rescue distance and the number of rescue danger sources corresponding to the rescue path as rescue path data for the rescued object and the escape exit in the rescue area.

[0008] Furthermore, the step S3 includes the following sub-steps: Step S31, obtaining the structural data of the rescue area obtained above, and the rescue path data of the rescued object and the escape exit in the rescue area; Step S32, marking the area of ​​the rescue area as MJ, the number of load-bearing components as CZ, the number of electrical equipment as DS, and the number of inflammable materials as YR; Step S33, the rescue danger value JW of the rescue area is calculated by a formula, and the formula is as follows: JW=MJ×a1+CZ×a2+DS×a3+YR×a4; where a1, a2, a3 and a4 are weight coefficients with fixed values; Step S34, marking the rescue distance corresponding to the rescue path as JLi, marking the number of rescue danger sources corresponding to the rescue path as WSi, where i is the number of the rescue path; Step S35, calculating the rescue difficulty value NDi of the rescue path by the formula NDi=JLi×b1+WSi×b2; in the formula, b1 and b2 are weight coefficients.

[0009] Furthermore, the step S3 also includes the following sub-steps: Step S36, traversing and comparing the rescue difficulty values ​​of the rescue paths, obtaining the maximum value among the rescue difficulty values ​​of the paths, and taking the maximum value among the rescue difficulty values ​​of the paths as the rescue difficulty value JN of the rescued object and the escape exit in the rescue area; Step S37, calculate the fire warning value YJ of the rescue area through the formula, the specific formula is as follows: YJ=JW×c1+JN×c2; where c1 and c2 are weight coefficients; Step S38, if the fire warning value is less than or equal to the first fire warning threshold, the fire warning level of the rescue area is the third fire warning level; If the fire warning value is greater than the first fire warning threshold and less than or equal to the second fire warning threshold, the fire warning level of the rescue area is the second fire warning level; If the fire warning value is greater than the second fire warning threshold, the fire warning level of the rescue area is the first fire warning level; wherein the first fire warning threshold is less than the second fire warning threshold.

[0010] Furthermore, the danger level of the first fire scene warning level is higher than the danger level of the second fire scene warning level, and the danger level of the second fire scene warning level is higher than the danger level of the third fire scene warning level.

[0011] Furthermore, the step S4 includes the following sub-steps: Step S41, if it is the first fire warning level, setting the first rescue configuration for the rescue area; Step S42, if it is the second fire warning level, setting a second rescue configuration for the rescue area; Step S43: If the fire scene warning level is the third, a third rescue configuration is set for the rescue area.

[0012] Further, the configuration of the first rescue configuration is higher than that of the second rescue configuration, and the configuration of the second rescue configuration is higher than that of the third rescue configuration.

[0013] Furthermore, the step S5 includes the following sub-steps: Step S51, obtaining the regional structure data and rescue path data of the rescue area through the fire rescue helmet; Step S52, inputting the regional structure data and the rescue path data into step S3 in real time, and calculating the real-time fire level of the rescue area; Step S53, comparing the real-time fire level with the fire warning level; Step S54, if the real-time fire level is higher than the fire warning level, a rescue reinforcement signal is generated; Step S55: If the real-time fire level is lower than the fire warning level, no operation is performed.

[0014] Furthermore, the real-time level of the fire scene includes the first real-time level of the fire scene, the second real-time level of the fire scene and the third real-time level of the fire scene; The real-time level of the first fire scene is equal to the first fire scene warning level, the real-time level of the second fire scene is equal to the second fire scene warning level, and the real-time level of the second fire scene is equal to the third fire scene warning level.

[0015] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention obtains a regional structural map of the rescue area on the one hand, and obtains regional structural data of the rescue area based on the regional structural map. On the other hand, the rescue path data of the rescued object and the escape exit in the rescue area is obtained based on the real-time position. The regional structural data is combined with the rescue path data to analyze the fire scene warning level of the rescue area, and the rescue configuration of the rescue area is set in combination with the fire scene warning level. The present invention realizes intelligent early warning analysis of the fire scene structure based on data analysis; 2. During actual rescue, the present invention obtains regional structural data and rescue path data in the fire scene through fire rescue helmet technology, thereby achieving timely updating of the fire scene warning level corresponding to the rescue area. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0017] Figure 1 is a flow chart of the method of the present invention; Figure 2 It is a workflow diagram of the sub-steps corresponding to step S2 in the present invention; Figure 3 It is a schematic diagram of the structure of the computer device in the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Example 1: Please refer to Figure 1-Figure 2 As shown, the technical solution provided by the present invention is: a fire scene structure early warning method based on fire rescue helmet technology, the method is specifically as follows: Step S1, obtaining a regional structural map of the rescue area, and obtaining regional structural data of the rescue area according to the regional structural map; In practice, the regional structural map is a 3D drawing of the rescue area, which can be obtained in advance through data; In this embodiment, step S1 includes the following sub-steps: Step S11, uploading the regional structural drawing to the drawing processing software, and marking the load-bearing components, electrical equipment, and flammable materials of the regional structural drawing through the marking function of the drawing processing software; Among them, the marking function is a basic function of drawing processing software, which includes but is not limited to UG, SolidWorks, etc. For example, the highlighting function in UG software; Specifically, load-bearing components include but are not limited to load-bearing columns, load-bearing beams, etc., electrical equipment includes but is not limited to electrical equipment, etc., and flammable materials include but are not limited to wooden products, etc.; Step S12, counting the number of load-bearing components in the regional structural diagram to obtain the number of load-bearing components in the regional structural diagram; Step S13, counting the number of electrical devices in the regional structure diagram to obtain the number of electrical devices in the regional structure diagram; Step S14, counting the number of inflammable objects in the regional structure map to obtain the number of inflammable objects in the regional structure map; Step S15, obtaining the area of ​​the rescue area through the regional structure map; Step S16, the area of ​​the region, the number of load-bearing components, the number of gas equipment and the number of flammable materials together constitute the structural data of the rescue area.

[0020] Step S2, obtaining rescue path data of the rescued object and the escape exit in the rescue area based on the real-time position; In this embodiment, step S2 includes the following sub-steps: Step S21, uploading the real-time position of the rescued object in the rescue area in real time through detection equipment such as infrared thermal imagers; Step S22, obtaining the real-time position of the escape exit corresponding to the rescue area through the regional structure map; Step S23, obtaining a rescue path between the rescued object in the rescue area and the escape exit according to the real-time position, and calculating the rescue distance between the rescued object in the rescue area and the corresponding rescue path of the escape exit by using a distance formula; Step S24, obtaining the load-bearing components, gas equipment and flammable materials along the rescue path, and taking the load-bearing components, gas equipment and flammable materials as rescue hazard sources of the rescue path, and counting the number of rescue hazard sources to obtain the number of rescue hazard sources of the rescue path corresponding to the rescue area; Step S25, taking the rescue path, the rescue distance and the number of rescue danger sources corresponding to the rescue path as rescue path data for the rescued object and the escape exit in the rescue area.

[0021] Step S3, analyzing the fire warning level of the rescue area based on the construction data and the rescue path data; In this embodiment, step S3 includes the following sub-steps: Step S31, obtaining the structural data of the rescue area obtained above, and the rescue path data of the rescued object and the escape exit in the rescue area; Step S32, marking the area of ​​the rescue area as MJ, the number of load-bearing components as CZ, the number of electrical equipment as DS, and the number of inflammable materials as YR; Step S33, the rescue danger value JW of the rescue area is calculated by a formula, and the formula is as follows: JW=MJ×a1+CZ×a2+DS×a3+YR×a4; where a1, a2, a3 and a4 are weight coefficients with fixed values; Step S34, marking the rescue distance corresponding to the rescue path as JLi, marking the number of rescue danger sources corresponding to the rescue path as WSi, where i is the number of the rescue path; Step S35, calculating the rescue difficulty value NDi of the rescue path by the formula NDi=JLi×b1+WSi×b2; in the formula, b1 and b2 are weight coefficients; Step S36, traversing and comparing the rescue difficulty values ​​of the rescue paths, obtaining the maximum value among the rescue difficulty values ​​of the paths, and taking the maximum value among the rescue difficulty values ​​of the paths as the rescue difficulty value JN of the rescued object and the escape exit in the rescue area; Step S37, calculate the fire warning value YJ of the rescue area through the formula, the specific formula is as follows: YJ=JW×c1+JN×c2; where c1 and c2 are weight coefficients; Step S38, if the fire warning value is less than or equal to the first fire warning threshold, the fire warning level of the rescue area is the third fire warning level; If the fire warning value is greater than the first fire warning threshold and less than or equal to the second fire warning threshold, the fire warning level of the rescue area is the second fire warning level; If the fire warning value is greater than the second fire warning threshold, the fire warning level of the rescue area is the first fire warning level; wherein the first fire warning threshold is less than the second fire warning threshold; It is understandable that the danger level of the first fire warning level is higher than that of the second fire warning level, and the danger level of the second fire warning level is higher than that of the third fire warning level.

[0022] Step S4, setting the rescue configuration of the rescue area in combination with the fire warning level; In this embodiment, the step includes the following sub-steps in S4: Step S41, if it is the first fire warning level, setting the first rescue configuration for the rescue area; Step S42, if it is the second fire warning level, setting a second rescue configuration for the rescue area; Step S43, if it is the third fire warning level, setting the third rescue configuration for the rescue area; wherein the configuration of the first rescue configuration is higher than the configuration of the second rescue configuration, and the configuration of the second rescue configuration is higher than the configuration of the third rescue configuration; Exemplarily, the rescuers in the first rescue configuration are equipped with explosion-proof clothing, dry powder fire extinguishers, ordinary fire extinguishers, etc., the rescuers in the second rescue configuration are equipped with explosion-proof clothing, ordinary fire extinguishers, etc., and the rescuers in the third rescue configuration are equipped with ordinary fire extinguishers, etc. The above is only an example to illustrate the setting of different rescue configurations for different fire warning levels.

[0023] Step S5, updating the fire warning level of the rescue area during rescue; In this embodiment, step S5 includes the following sub-steps: Step S51, during the actual rescue, obtaining the regional structure data and rescue path data of the rescue area through the fire rescue helmets worn by the rescuers; Step S52, inputting the regional structure data and the rescue path data into step S3 in real time, and calculating the real-time fire level of the rescue area; Step S53, comparing the real-time fire level with the fire warning level; Specifically, the real-time fire level includes the first real-time fire level, the second real-time fire level and the third real-time fire level. The first real-time fire level is equal to the first early warning fire level, the second real-time fire level is equal to the second early warning fire level, and the second real-time fire level is equal to the third early warning fire level. Step S54, if the real-time fire level is higher than the fire warning level, a rescue reinforcement signal is generated; Step S55: If the real-time fire level is lower than the fire warning level, no operation is performed.

[0024] Since the present embodiment adopts the above-mentioned technical scheme, on the one hand, a regional structural map of the rescue area is obtained, and regional structural data of the rescue area is obtained according to the regional structural map; on the other hand, rescue path data of the rescued objects and escape exits in the rescue area are obtained based on the real-time position, and the regional structural data is combined with the rescue path data to analyze the fire scene warning level of the rescue area, and the rescue configuration of the rescue area is set in combination with the fire scene warning level, and intelligent early warning analysis of the fire scene structure is realized based on data analysis; at the same time, during actual rescue, the regional structural data and rescue path data in the fire scene are obtained through the fire rescue helmet technology, so as to realize timely update of the fire scene warning level corresponding to the rescue area.

[0025] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0026] Embodiment 2: The present invention also provides a fire scene structure early warning system based on fire rescue helmet technology, comprising: A data uploading module is used to obtain a regional structural map of the rescue area, and obtain regional structural data of the rescue area according to the regional structural map; A data acquisition module, used to acquire rescue path data of the rescued object and the escape exit in the rescue area based on the real-time position; Intelligent analysis module, used to analyze the fire warning level of the rescue area based on the structural data and rescue path data; Intelligent configuration module, used to set rescue configuration of rescue areas according to fire warning levels; Real-time update module: used to update the fire warning level in the rescue area during rescue.

[0027] Example 3: Figure 3As shown, this embodiment provides a structural schematic diagram of a computer device, which may include: a processor, a communication interface, a memory, and a system bus, wherein the processor, the communication interface, and the memory communicate with each other through the system bus. The processor may call the logic instructions in the memory to execute a fire scene structure warning method based on fire rescue helmet technology, the method comprising: obtaining a regional structural map of the rescue area, and obtaining regional structural data of the rescue area according to the regional structural map; obtaining rescue path data of the rescued object and the escape exit in the rescue area based on the real-time position; analyzing the fire scene warning level of the rescue area based on the structural data and the rescue path data; setting the rescue configuration of the rescue area in combination with the fire scene warning level; and updating the fire scene warning level of the rescue area during rescue.

[0028] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0029] On the other hand, the present application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the fire scene structure warning method based on fire rescue helmet technology provided by the above methods, and the method includes: obtaining a regional structure map of the rescue area, and obtaining regional structure data of the rescue area according to the regional structure map; obtaining rescue path data of the rescued objects and escape exits in the rescue area based on the real-time position; analyzing the fire scene warning level of the rescue area based on the structure data and the rescue path data; setting the rescue configuration of the rescue area in combination with the fire scene warning level; and updating the fire scene warning level of the rescue area during rescue.

[0030] On the other hand, the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the above-mentioned fire scene structure warning method based on fire rescue helmet technology, the method comprising: obtaining a regional structure map of the rescue area, and obtaining regional structure data of the rescue area based on the regional structure map; obtaining rescue path data of the rescued objects and escape exits in the rescue area based on the real-time position; analyzing the fire scene warning level of the rescue area based on the structure data and the rescue path data; setting the rescue configuration of the rescue area in combination with the fire scene warning level; and updating the fire scene warning level of the rescue area during rescue.

[0031] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0032] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0033] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A fire scene structure early warning method based on fire rescue helmet technology, characterized in that: Here’s how: Step S1, obtaining a regional structural map of the rescue area, and obtaining regional structural data of the rescue area according to the regional structural map; Step S2, obtaining rescue path data of the rescued object and the escape exit in the rescue area based on the real-time position; Step S3, analyzing the fire warning level of the rescue area based on the construction data and the rescue path data; Step S4, setting the rescue configuration of the rescue area in combination with the fire warning level; Step S5, updating the fire warning level of the rescue area during rescue.

2. The fire scene structure early warning method based on fire rescue helmet technology according to claim 1 is characterized in that: The step S1 includes the following sub-steps: Step S11, uploading the regional structural drawing to the drawing processing software, and marking the load-bearing components, electrical equipment, and flammable materials of the regional structural drawing through the marking function of the drawing processing software; Step S12, counting the number of load-bearing components in the regional structural diagram to obtain the number of load-bearing components in the regional structural diagram; Step S13, counting the number of electrical devices in the regional structure diagram to obtain the number of electrical devices in the regional structure diagram; Step S14, counting the number of inflammable objects in the regional structure map to obtain the number of inflammable objects in the regional structure map; Step S15, obtaining the area of ​​the rescue area through the regional structure map; Step S16, the area of ​​the region, the number of load-bearing components, the number of gas equipment and the number of flammable materials together constitute the structural data of the rescue area.

3. The fire scene structure early warning method based on fire rescue helmet technology according to claim 2 is characterized in that: The step S2 includes the following sub-steps: Step S21, uploading the real-time position of the rescued object in the rescue area in real time; Step S22, obtaining the real-time position of the escape exit corresponding to the rescue area through the regional structure map; Step S23, obtaining a rescue path between the rescued object in the rescue area and the escape exit according to the real-time position, and calculating the rescue distance between the rescued object in the rescue area and the corresponding rescue path of the escape exit by using a distance formula; Step S24, obtaining the load-bearing components, gas equipment and flammable materials along the rescue path, and taking the load-bearing components, gas equipment and flammable materials as rescue hazard sources of the rescue path, and counting the number of rescue hazard sources to obtain the number of rescue hazard sources of the rescue path corresponding to the rescue area; Step S25, taking the rescue path, the rescue distance and the number of rescue danger sources corresponding to the rescue path as rescue path data for the rescued object and the escape exit in the rescue area.

4. The fire scene structure early warning method based on fire rescue helmet technology according to claim 3 is characterized in that: The step S3 includes the following sub-steps: Step S31, obtaining the structural data of the rescue area and the rescue path data of the rescued object and the escape exit in the rescue area; Step S32, marking the area of ​​the rescue area as MJ, the number of load-bearing components as CZ, the number of electrical equipment as DS, and the number of inflammable materials as YR; Step S33, the rescue danger value JW of the rescue area is calculated by a formula, and the formula is as follows: JW=MJ×a1+CZ×a2+DS×a3+YR×a4; where a1, a2, a3 and a4 are weight coefficients with fixed values; Step S34, marking the rescue distance corresponding to the rescue path as JLi, marking the number of rescue danger sources corresponding to the rescue path as WSi, where i is the number of the rescue path; Step S35, calculating the rescue difficulty value NDi of the rescue path by the formula NDi=JLi×b1+WSi×b2; in the formula, b1 and b2 are weight coefficients.

5. The fire scene structure early warning method based on fire rescue helmet technology according to claim 4 is characterized in that: The step S3 also includes the following sub-steps: Step S36, traversing and comparing the rescue difficulty values ​​of the rescue paths, obtaining the maximum value among the rescue difficulty values ​​of the paths, and taking the maximum value among the rescue difficulty values ​​of the paths as the rescue difficulty value JN of the rescued object and the escape exit in the rescue area; Step S37, calculate the fire warning value YJ of the rescue area through the formula, the specific formula is as follows: YJ=JW×c1+JN×c2; where c1 and c2 are weight coefficients; Step S38, if the fire warning value is less than or equal to the first fire warning threshold, the fire warning level of the rescue area is the third fire warning level; If the fire warning value is greater than the first fire warning threshold and less than or equal to the second fire warning threshold, the fire warning level of the rescue area is the second fire warning level; If the fire warning value is greater than the second fire warning threshold, the fire warning level of the rescue area is the first fire warning level; wherein the first fire warning threshold is less than the second fire warning threshold.

6. The fire scene structure early warning method based on fire rescue helmet technology according to claim 5 is characterized in that: The danger level of the first fire warning level is higher than that of the second fire warning level, and the danger level of the second fire warning level is higher than that of the third fire warning level.

7. The fire scene structure early warning method based on fire rescue helmet technology according to claim 6 is characterized in that: The step S4 includes the following sub-steps: Step S41, if it is the first fire warning level, setting the first rescue configuration for the rescue area; Step S42, if it is the second fire warning level, setting a second rescue configuration for the rescue area; Step S43: If the fire scene warning level is the third, a third rescue configuration is set for the rescue area.

8. The fire scene structure early warning method based on fire rescue helmet technology according to claim 7 is characterized in that: The configuration of the first rescue configuration is higher than that of the second rescue configuration, and the configuration of the second rescue configuration is higher than that of the third rescue configuration.

9. The fire scene structure early warning method based on fire rescue helmet technology according to claim 5 is characterized in that: The step S5 includes the following sub-steps: Step S51, obtaining the regional structure data and rescue path data of the rescue area through the fire rescue helmet; Step S52, inputting the regional structure data and the rescue path data into step S3 in real time, and calculating the real-time fire level of the rescue area; Step S53, comparing the real-time fire level with the fire warning level; Step S54, if the real-time fire level is higher than the fire warning level, a rescue reinforcement signal is generated; Step S55: If the real-time fire level is lower than the fire warning level, no operation is performed.

10. The fire scene structure early warning method based on fire rescue helmet technology according to claim 9 is characterized in that: The real-time level of the fire scene includes the first real-time level of the fire scene, the second real-time level of the fire scene and the third real-time level of the fire scene; The real-time level of the first fire scene is equal to the first fire scene warning level, the real-time level of the second fire scene is equal to the second fire scene warning level, and the real-time level of the second fire scene is equal to the third fire scene warning level.

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