Chamber fire real-time detection and diagnosis method and system based on building wall-fixing sound transmission

Abstract

The invention provides a chamber fire real-time detection and diagnosis method and system based on building wall fixing sound transmission. The system comprises a waveform generator, a power amplifier, a sound wave emitter, a sound wave receiver, a data acquisition module, a computer and a cloud server. The sound wave emitter and the sound wave receiver are located on the two sides of an indoor wall fixing medium, the waveform generator and the power amplifier are both connected with the sound wave emitter, and the waveform generator and the power amplifier generate sound signals with the same sound intensity and frequency as fire alarm ringtones in a building. A sound signal is transmitted to one side of the wall-fixing medium in the test chamber through the sound wave transmitter; the sound wave receiver receives sound waves on the other side transmitted through the wall-fixing medium and transmits the sound waves to the data acquisition module, and the data acquisition module transmits the data to a computer or a cloud server. According to the invention, real-time detection and diagnosis of fire scene information of a chamber fire at any time period are realized, and a safety evaluation basis is provided for personnel evacuation, emergency rescue and the like.

Description

Technical Field

[0002] The present invention relates to the field of fire safety systems, and in particular to a method and system for real-time detection and diagnosis of chamber fires based on building solid wall sound transmission. Background Art

[0004] Building fires are often sudden and spreading, accompanied by a large amount of smoke. Once a fire starts, the fire may spread rapidly in a short period of time, threatening the integrity of the building structure and the lives of people. However, when facing building fires, traditional monitoring methods, such as smoke, temperature, and light detectors, have certain limitations. They cannot effectively transmit fire information in real time and are easily affected by environmental factors such as hot smoke and high radiation flux. However, real-time information in the fire scene is still of great significance for personnel evacuation and rescue deployment, especially the changing trends of the burning power and area of ​​the fire scene, which can be used as important data for safety assessment. The real-time burning power and area of ​​the fire scene can also be used to judge the possibility of fire hazards such as flashover and backdraft. Therefore, in order to achieve real-time detection and diagnosis of the entire process of building fire combustion, it is necessary to explore a new information transmission medium.

[0005] Sound waves are mechanical waves that can propagate in fluid or solid media, and their propagation will be affected by the physical properties of the medium. Based on this feature, predecessors have tried to use the characteristics of fire scenes that change the ambient temperature to detect chamber fires through air sound transmission. The principle is: under the influence of fire, the indoor air (smoke) will significantly heat up, and the intensity of the sound signal transmitted through the air will change, thereby achieving fire detection. However, the propagation of sound in the air is easily affected by environmental interference, such as crowd evacuation, fire rescue, furniture obstruction, ceiling collapse, etc. In contrast, solid sound transmission has the advantages of strong anti-interference ability, low energy loss, and fast propagation speed. At present, solid sound transmission is mainly used for temperature measurement and structural defect detection of special equipment, indicating that the sound signal has a sensitive response characteristic to the physical property changes of solid media. Considering that after a building fire occurs, the flame will transfer heat to the solid wall of the building, especially the floor, causing the elastic modulus, density and other parameters of the solid wall medium to change, and the parameters of the sound signal propagating inside it (sound intensity, sound frequency) will also change accordingly. It can be expected that when the burning power or area of ​​the fire source changes, it will cause changes in the acoustic signal. Therefore, by measuring the sound intensity and frequency changes of the acoustic signal in the solid wall of the building affected by the flame area, the burning power and area of ​​the fire source can be detected in real time and transmitted to the outside, providing information support for personnel evacuation and fire rescue.

[0006] In the existing scientific research and patent inventions, there are still few studies on using acoustic features to monitor fire information. The real-time monitoring device for fire temperature in building space uses acoustic CT temperature measurement technology to obtain fire temperature information in real time by installing an acoustic transceiver inside the building. This method can provide high temperature accuracy and assist in determining the location of the fire source and smoke distribution, providing important data for fire rescue (Qin Hengjie, Chai Lingling, Zou Lejian, et al. A real-time monitoring device for fire temperature in building space [P]. Henan Province: CN202320432346.3, 2023-09-05.). However, there are several significant shortcomings in the existing work. First, the acoustic CT temperature measurement technology requires high equipment costs and complex calculations, which increases the economic burden of implementation. Secondly, this method has poor adaptability to the environment. The dense smoke and high temperature accumulated in the fire scene may cause measurement errors or delays, and it is easily affected by the background noise in the fire scene. In addition, due to the influence of high temperature, the response time of the equipment will be correspondingly extended, affecting the detection speed in the early stage of the fire. The real-time detection and diagnosis method and system of chamber fire based on building solid wall sound transmission proposed in this paper is to make up for this deficiency. It uses the building solid wall as a sound transmission medium to detect fire, and utilizes the propagation characteristics of sound waves in solid materials to solve the limitation that sound waves in the air are easily interfered. The advantage of solid wall sound transmission is that it has higher stability, strong anti-interference ability, and faster sound wave propagation speed, which can reflect the situation at the fire scene more quickly and accurately. In addition, the sound wave loss in the solid medium is low, and a strong signal strength can be maintained at a longer distance, which enables the fire detection system to cover a wider area. Summary of the invention

[0007] Based on long-term theoretical investigation and experimental research, the present invention proposes for the first time a fire detection and diagnosis method and system based on building solid wall sound transmission which is easy to operate and has strong applicability. It is not only low in cost, but also can achieve more efficient and real-time fire detection and diagnosis in complex building environments.

[0008] The present invention is achieved by at least one of the following technical solutions.

[0009] The real-time detection and diagnosis method of chamber fire based on building solid wall sound transmission includes the following steps:

[0010] 1) Transmitting a first acoustic signal to the solid medium of the building wall through an acoustic wave transmitter or an inherent sound source in the building;

[0011] 2) After the first acoustic signal propagates through the solid medium, a second acoustic signal is received by an acoustic wave receiver, where the second acoustic signal is the acoustic wave signal after the first acoustic signal propagates in the solid wall medium;

[0012] 3) The data acquisition module collects the sound spectrum read by the sound wave receiver in real time and transmits it to a computer or cloud server;

[0013] 4) By reading the sound spectrum data on the computer or cloud server, the sound intensity change and sound frequency offset at the sound wave receiver position are calculated in real time;

[0014] 5) The data processing module calculates the changes in the combustion power and area of ​​the fire scene through the values ​​and trends of the sound frequency offset and sound intensity change, thereby realizing real-time detection and diagnosis of the fire scene information of the chamber fire at any time period.

[0015] Furthermore, the data acquisition module can monitor the intensity change and frequency deviation of the sound wave in real time, and calculate the sound intensity change and sound frequency deviation at the position of the sound wave receiver through the data processing module.

[0016] Furthermore, the data processing module has a noise filtering function, which can filter environmental noise and improve the accuracy of signal analysis after the second sound signal is converted.

[0017] Furthermore, the data processing module adopts an information redundancy filtering method to filter environmental noise by comparing and analyzing multiple identical or similar information sources.

[0018] Furthermore, the data processing module calculates the sound intensity change and sound frequency deviation at the position of the sound wave receiver in real time, and estimates the changes in the combustion power and area of ​​the fire scene through polynomial interpolation method.

[0019] Furthermore, the data processing module can calculate the combustion area of ​​the chamber fire according to the sound intensity change and sound frequency shift at the position of the sound wave receiver:

[0020]

[0021] Among them A f is the flame area, Δf is the acoustic frequency offset of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, ΔSPL is the sound intensity change of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, and a, b, and c are correction coefficients.

[0022] Furthermore, the data processing module can also calculate the combustion power of the chamber fire according to the sound intensity change and sound frequency shift at the position of the sound wave receiver:

[0023]

[0024] in is the flame combustion power, A fis the flame area, Δf is the acoustic frequency offset of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, ΔAPL is the acoustic intensity change of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, T F is the fuel temperature, a, b, c, d, e are correction coefficients.

[0025] The system for realizing the real-time detection and diagnosis method of chamber fire based on building solid wall sound transmission includes a waveform generator, a power amplifier, a sound wave transmitter, a sound wave receiver, a data acquisition module, a computer and a cloud server; the sound wave transmitter and the sound wave receiver are located on both sides of the solid wall medium in the room, the waveform generator and the power amplifier are connected to the sound wave transmitter, the waveform generator and the power amplifier generate a sound signal with the same sound intensity and frequency as the fire alarm in the building, and transmit the sound signal to one side of the solid wall medium in the test room through the sound wave transmitter; the sound wave receiver receives the sound wave on the other side propagated through the solid wall medium, and transmits it to the data acquisition module, and the data acquisition module transmits the data to the computer or transmits the data to the cloud server.

[0026] Furthermore, the solid wall medium includes a concrete floor, a steel structure, a wall or a solid structure capable of transmitting sound within a building.

[0027] Furthermore, a wood pile fire that can be ignited is arranged on the indoor solid wall medium.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] 1. Flame power and combustion area diagnosis mechanism

[0030] The present invention utilizes the physical properties and temperature changes of the solid wall of the chamber as the sound propagation medium to achieve fire detection and diagnosis. The basic principle is that when a fire occurs, the temperature increase of the propagation medium will cause changes in physical parameters such as density, elastic modulus and sound speed, thereby affecting the propagation speed and efficiency of the sound waves. Specifically, the temperature increase causes the propagation of sound waves near the high temperature area to accelerate, which is manifested as changes in sound wave intensity and sound frequency shift. Based on this, the present invention installs the sound wave transmitter on one side of the solid wall medium of the chamber, and installs the sound wave receiver on the side of the solid wall medium of the chamber facing the sound wave transmitter, ensuring that the sound wave receiver can receive the incident sound waves generated by the transmitter. When the sound wave transmitter pushes a sound field of fixed intensity, the sound intensity and sound frequency read by the sound wave receiver will change with the increase in the solid wall temperature. Through interpolation processing, the changes in the combustion power and area of ​​the fire scene can be calculated through the values ​​and changing trends of the sound frequency offset and sound intensity change, thereby realizing real-time detection and diagnosis of fire scene information at any time period of the chamber fire, providing a safety assessment basis for personnel evacuation, emergency rescue and other work.

[0031] The present invention proposes for the first time a real-time chamber fire detection and diagnosis method and system based on building solid wall sound transmission. Compared with the existing fire detection and analysis technology based on air sound transmission, the present invention has the following beneficial effects:

[0032] (1) The energy loss of sound propagation in solids is much lower than that in air, so that the sound signal can maintain its intensity and low loss over a longer propagation distance, thereby achieving fire detection and diagnosis over a wider range.

[0033] (2) Sound transmission through solid walls is less affected by environmental interference such as crowd evacuation and rescue, and the placement and shielding of indoor furniture will not block the propagation of sound in the solid wall, ensuring that the acoustic signal can accurately detect fire scene information at any time during a fire.

[0034] (3) Compared with air media, sound waves propagate faster in solid media and have a shorter response time to changes in the fire environment, which can effectively improve the real-time performance of fire detection;

[0035] (4) Sound waves can propagate through solid wall media such as floor structures in multiple rooms, and have the potential to simultaneously detect and diagnose fires in multiple rooms or even entire floors of a building. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to make the content of the present invention more clearly understood, the following drawings and embodiments further illustrate the present invention:

[0037] Figure 1 This is a schematic diagram of the overall structure of the chamber fire real-time detection and diagnosis system based on building solid wall sound transmission of the present invention;

[0038] Figure 2 It is a schematic diagram of the overall structure of the system corresponding to the test chamber and the power flame;

[0039] Figure 3 The spectrograms of the second sound wave signal and the first sound wave signal corresponding to flames of different sizes and powers;

[0040] Figure 4 The sound frequency and sound intensity change diagram corresponding to flames of different sizes and powers;

[0041] In the figure: 1- waveform generator; 2- power amplifier; 3- sound wave transmitter; 4- woodpile fire; 5- concrete floor; 6- sound wave receiver; 7- data acquisition module; 8- computer; 9- cloud server. DETAILED DESCRIPTION

[0042] The present invention is further described in detail with reference to the accompanying drawings and specific embodiments. It should be understood that the accompanying drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic diagram, and therefore only show the components related to the present invention. It should also be understood that the system personnel of the present invention can make various parameter changes and form modifications to the present invention, and these equivalent forms also fall within the scope defined by the claims attached to this application.

[0043] like Figure 1 As shown, a real-time detection and diagnosis system for chamber fire based on building solid wall sound transmission includes a waveform generator 1, a power amplifier 2, a sound wave transmitter 3, a sound wave receiver 6, a data acquisition module 7, a computer 8 and a cloud server 9, etc. The sound wave transmitter 3 and the sound wave receiver 6 are located on both sides of the solid wall medium in the room. The waveform generator 1 and the power amplifier 2 are connected to the sound wave transmitter 3, the sound wave transmitter 3 transmits the sound signal to one side of the solid wall medium in the test room, the sound wave receiver 6 receives the sound wave on the other side propagated through the solid wall medium, and the sound wave receiver 6 is connected to the data acquisition module 7, and the data acquisition module 7 transmits the data to the computer 8 or the cloud server 9. The system realizes fire detection and diagnosis by utilizing the physical properties and temperature changes of the chamber solid wall as the sound propagation medium to affect the sound wave intensity and sound frequency, ensuring that real-time and accurate fire data can still be provided when traditional monitoring means fail.

[0044] In this embodiment, a sound signal with the same sound intensity and frequency as the fire alarm in the building is generated by the waveform generator 1 and the power amplifier 2, and the sound signal is transmitted to the solid wall medium in the test room by the sound wave transmitter 3 as the first sound wave signal for monitoring. The sound wave receiver 6 receives the sound wave propagated through the solid wall medium as the second sound wave signal for monitoring, and transmits it to the data acquisition module 7. The data acquisition module 7 has both wired and wireless data transmission functions, and can transmit data to the computer 8 through a data line, or transmit data to the cloud server 9 through a wireless signal, such as supporting a low-latency wireless transmission protocol, so as to quickly transmit the sound wave data to the remote server in the early stage of a fire.

[0045] The key installation requirements of the chamber fire real-time detection and diagnosis system based on building solid wall sound transmission of the present invention are: the sound wave transmitter 3 is installed on one side of the solid wall medium, and the sound wave receiver 6 is installed on the side facing the sound wave transmitter 3. During the test, the wood pile fire 4 is ignited to produce an open flame. When the local temperature of the solid wall medium increases, the sound intensity and sound frequency values ​​received by the sound wave receiver 6 will change, which provides an effective basis for real-time monitoring of the fire scene.

[0046] As an embodiment, the wall-fixing medium may be a concrete floor 5, a steel structure, a wall or other solid materials. Solid structures such as walls or floors, beams or walls in existing building structures can be used as propagation paths for sound waves, thereby reducing additional modifications to the building. In this embodiment, the wall-fixing medium for propagation of sound wave signals is a concrete floor 5.

[0047] Compared with propagation in the air, sound waves propagate faster in solid media, with lower loss and less impact from environmental shielding. Therefore, the system can monitor fire conditions efficiently and in real time. At the same time, the system has strong resistance to interference factors in building spaces and can be used to detect fire information at any time, especially in the middle and late stages of a fire.

[0048] As an embodiment, the system also utilizes existing sound sources in the building, such as fire alarms, as acoustic emission signals to achieve fire detection and diagnosis based on solid wall sound transmission.

[0049] The method for implementing the chamber fire real-time detection and diagnosis system based on building solid wall sound transmission comprises the following steps:

[0050] 1) Transmitting a first acoustic signal to the solid wall of the building through the acoustic wave transmitter 3 or the inherent sound source in the building;

[0051] 2) receiving a second acoustic signal through an acoustic wave receiver 6, where the second acoustic signal is an acoustic wave signal after the first acoustic signal propagates in the solid wall medium;

[0052] 3) The data acquisition module 7 collects the sound spectrum read by the sound wave receiver 6 in real time and transmits it to a computer or a cloud server;

[0053] 4) By reading the sound spectrum data on the computer or cloud server, the sound intensity change and sound frequency offset at the position of the sound wave receiver 6 are calculated in real time;

[0054] 5) Since the sound frequency offset and sound intensity change are positively correlated with the combustion power and area of ​​the fire in the corresponding area, the changes in the combustion power and area of ​​the fire are calculated through the interpolation method through the values ​​and change trends of the sound frequency offset and sound intensity change, thereby realizing real-time detection and diagnosis of fire information at any time period of the chamber fire, providing a safety assessment basis for personnel evacuation, emergency rescue and other work.

[0055] When a building fire occurs, the temperature of the building's solid wall rises, causing its density and elastic modulus to change, thereby weakening the intensity attenuation of the internal sound signal and shifting the peak frequency of the sound signal. Based on this, by measuring and calculating the change in sound intensity and sound frequency offset in the building's solid wall, real-time monitoring and diagnosis of chamber fire power and burning area can be achieved, providing fire scene information for fire warning and rescue. The sound intensity and sound frequency range of the acoustic emission signal can be changed to adapt to the propagation characteristics of building environments of different types and sizes.

[0056] The data acquisition module 7 can monitor the intensity change and frequency shift of the sound wave in real time, and calculate the sound intensity change and sound frequency shift at the sound wave receiver position through a data processing algorithm. Specifically, the data processing algorithm is based on the difference between the second sound wave signal before and after the fire occurs, and calculates the difference between the two through an interpolation method, thereby obtaining the sound intensity change and sound frequency shift.

[0057] The data processing module also has a noise filtering function, which can filter environmental noise and improve the accuracy of signal analysis after the second acoustic signal is converted. The data processing module adopts an information redundancy filtering method to filter environmental noise and improve signal analysis accuracy by comparing and analyzing multiple identical or similar information sources. For example, by comparing the signals collected by multiple microphones, the incoming signal and noise can be distinguished, thereby achieving noise filtering.

[0058] Furthermore, the data processing module calculates the sound intensity change and sound frequency deviation at the position of the sound wave receiver 6 in real time, and estimates the changes in the combustion power and area of ​​the fire scene through polynomial interpolation method.

[0059] Therefore, the fire scene information can be effectively detected and diagnosed by the change of the sound intensity and sound frequency of the second sound signal. Here, ΔSPL is defined as the sound intensity change of the second sound wave signal after the fire relative to the second sound wave signal before the fire, and Δf is defined as the sound frequency offset of the second sound wave signal after the fire relative to the second sound wave signal before the fire. At the same time, A is defined f is the size (area) of the flame in the chamber, and is defined as is the combustion power of the flame in the chamber. Based on the basic theory of acoustics and knowledge of fire dynamics, a better algorithm for calculating the combustion area of ​​chamber fire is as follows:

[0060]

[0061] Among them, A f is the flame area, Δf is the acoustic frequency offset of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, ΔSPL is the sound intensity change of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, a, b, c are correction coefficients, and a, b, c vary with different material properties.

[0062] For example, if the currently tested C30 concrete floor is a, the recommended value ranges of the parameters are a=0.58~6.12, b=-6.62~5.26, and c=0.18~6.24.

[0063] At the same time, based on the basic theory of acoustics and knowledge of fire dynamics, a better algorithm for calculating the combustion power of chamber fire is as follows:

[0064]

[0065] in, is the flame combustion power, A f is the flame area, Δf is the acoustic frequency offset of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, ΔSPL is the sound intensity change of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, T F is the fuel temperature, a, b, c, d, e are correction coefficients (among which a, b, c, d, e vary with different material properties. For example, if the C30 concrete floor is currently tested, the recommended value range of each parameter is a=756.31~1125.16, b=1132.27~1436.15, c=109.24~196.35, d=1.62*10 5 ~2.35*10 5 , e=18.26~35.37).

[0066] Figure 2 The spectrogram of the second sound wave signal is shown when fire sources of different sizes (burning area) and power are placed in a test room with a length of 3.6m and a width of 2.4m. At this time, the main frequency range of the first sound wave signal used is 1800Hz~2200Hz, which is consistent with the main frequency of the fire alarm. Figure 3 (a) and Figure 3 It can be seen from (b) that when there is no flame in the test room, the sound intensity of the second sound wave signal reaching the sound wave receiving device 6 at the farthest end (3.6m) through the concrete floor 5 is 89.93dB, and the sound frequency is 2020Hz. At this time, a square woodpile fire 4 with a side length of 1.4m is placed in the test room, and the woodpile is ignited to make it burn stably, causing the temperature of the concrete floor to rise by 100°C. At this time, after the same incident sound signal reaches the farthest sound wave receiver 6 through the heated concrete floor 5, the sound intensity of the second sound wave signal is measured to be 91.27dB, and the sound frequency is 1976Hz. It can be seen that compared with the condition without a fire source, the locally heated concrete floor 5 increases the sound intensity of the second sound wave signal by 1.34dB and reduces the sound frequency by 44Hz.

[0067] On the basis of ensuring that the temperature rise of the concrete floor caused by the fire source remains unchanged, the side length of the wood pile fire 5 is changed to 1m and 0.6m. The same incident sound field signal is used to reach the farthest sound wave receiving device 6 after passing through the temperature rise concrete floor 5, and the numerical values ​​of the sound intensity change and the sound frequency offset are recorded. The change trend of the sound intensity and sound frequency with the burning area can be obtained, such as Figure 4 (a) and Figure 4 As shown in (b), it can be seen that the larger the burning area of ​​the flame, the greater the acoustic frequency shift and sound intensity change caused by it.

[0068] On the other hand, the burning area of ​​the fire source is kept unchanged in the test, and only the temperature rise of the concrete floor 5 caused by the flame combustion is changed, and the temperature rise of the concrete floor 5 is controlled to be 50°C, 150°C, 250°C and 350°C respectively. The same incident sound signal is used to reach the farthest sound wave receiving device 6 after passing through the temperature-rising concrete floor 5, and the numerical values ​​of the sound intensity change and the sound frequency offset are recorded, and the change trend of the sound intensity and the sound frequency with the solid phase temperature can be obtained, such as Figure 4 (c) and Figure 4 As shown in (d), it can be seen that the higher the temperature rise of the concrete floor 5 caused by the fire source, the greater the sound frequency shift and sound intensity change caused by it.

[0069] In summary, the present invention provides a real-time detection and diagnosis method and system for chamber fires based on sound transmission through building solid walls. Before a fire occurs, a first sound wave signal is pushed to the solid medium of the building solid wall (such as a concrete floor) through a sound wave transmitter or an inherent sound source in the building, and then a second sound wave signal is received through a sound wave receiver. The second sound wave signal is the sound wave signal after the first sound wave signal propagates in the solid medium of the chamber. When a fire occurs, the temperature increase of the propagation medium will cause changes in physical parameters such as density, elastic modulus and sound speed, thereby affecting the propagation speed and efficiency of the sound wave. Specifically, the temperature increase causes the propagation of sound waves near high temperature areas to accelerate, which is manifested as changes in sound wave intensity and sound frequency shifts. The influence of the temperature and area of ​​the chamber solid is determined by the change in the sound intensity of the second sound wave signal after the fire occurs, as well as the size of its sound frequency offset relative to the second sound wave signal before the fire occurs. The temperature and area of ​​the chamber solid depend on the flame power and the burning area. The change in the flame power and size in the fire scene can be determined by the change in the sound frequency offset and sound intensity, as well as the changing trend of the chamber solid temperature and area, thereby realizing real-time detection and analysis of the fire scene information at any time period of the indoor fire, providing a safe basis for the evacuation of personnel, emergency rescue and other work.

[0070] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well.

Claims

1. A real-time detection and diagnosis method for chamber fire based on sound transmission through building solid walls, characterized in that: The following steps are involved: 1) transmitting a first acoustic signal to a solid medium of a solid wall of the building through an acoustic wave transmitter (3) or an inherent sound source in the building; 2) After the first sound signal propagates through the solid medium, a second sound signal is received by a sound wave receiver (6), where the second sound signal is a sound wave signal of the first sound signal after propagating through the solid wall medium; 3) The sound spectrum read by the sound wave receiver (6) is collected in real time through the data collection module (7) and transmitted to a computer or a cloud server; 4) By reading the sound spectrum data from the computer or cloud server, the sound intensity change and sound frequency offset at the location of the sound wave receiver (6) are calculated in real time; 5) The data processing module calculates the changes in the combustion power and area of ​​the fire scene through the values ​​and trends of the sound frequency offset and sound intensity change, thereby realizing real-time detection and diagnosis of the fire scene information of the chamber fire at any time period.

2. The method for real-time detection and diagnosis of chamber fire based on building solid wall sound transmission according to claim 1 is characterized in that: The data acquisition module can monitor the intensity change and frequency deviation of the sound wave in real time, and calculate the sound intensity change and sound frequency deviation at the position of the sound wave receiver through the data processing module.

3. The real-time detection and diagnosis method for chamber fire based on building solid wall sound transmission according to claim 1 is characterized in that: The data processing module filters the environmental noise to improve the accuracy of signal analysis after the second acoustic signal is converted.

4. The method for real-time detection and diagnosis of chamber fire based on building solid wall sound transmission according to claim 3 is characterized in that: The data processing module adopts an information redundancy filtering method to filter environmental noise by comparing and analyzing multiple identical or similar information sources.

5. The method for real-time detection and diagnosis of chamber fire based on building solid wall sound transmission according to claim 2 is characterized in that: The data processing module calculates the sound intensity change and sound frequency shift at the position of the sound wave receiver in real time, and estimates the changes in the combustion power and area of ​​the fire scene through the polynomial interpolation method.

6. The real-time detection and diagnosis method for chamber fire based on building solid wall sound transmission according to claim 2 is characterized in that: The data processing module can calculate the combustion area of ​​the chamber fire according to the sound intensity change and sound frequency shift at the position of the sound wave receiver: Among them A f is the flame area, Δf is the acoustic frequency offset of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, ΔSPL is the sound intensity change of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, and a, b, and c are correction coefficients.

7. The real-time detection and diagnosis method for chamber fire based on building solid wall sound transmission according to claim 2 is characterized in that: The data processing module can also calculate the combustion power of the chamber fire according to the sound intensity change and sound frequency shift at the position of the sound wave receiver: in is the flame combustion power, A f is the flame area, Δf is the acoustic frequency offset of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, ΔSPL is the sound intensity change of the second acoustic wave signal after the fire relative to the second acoustic wave signal before the fire, T F is the fuel temperature, a, b, c, d, e are correction coefficients.

8. A system for implementing the method for real-time detection and diagnosis of chamber fire based on sound transmission through building solid walls as described in claim 1, characterized in that: The invention comprises a waveform generator (1), a power amplifier (2), a sound wave transmitter (3), a sound wave receiver (6), a data acquisition module (7), a computer (8) and a cloud server (9); the sound wave transmitter (3) and the sound wave receiver (6) are located on both sides of a solid wall medium in a room, the waveform generator (1) and the power amplifier (2) are both connected to the sound wave transmitter (3), the waveform generator (1) and the power amplifier (2) generate a sound signal with the same sound intensity and frequency as the fire alarm sound in the building, and transmit the sound signal to one side of the solid wall medium in the test room through the sound wave transmitter (3); the sound wave receiver (6) receives the sound wave on the other side propagated through the solid wall medium, and transmits it to the data acquisition module (7), and the data acquisition module (7) transmits the data to the computer (8) or transmits the data to the cloud server (9).

9. The real-time chamber fire detection and diagnosis system based on building solid wall sound transmission according to claim 8 is characterized in that: The solid wall medium includes a concrete floor (5), a steel structure, a wall or a solid structure in a building that can transmit sound.

10. The real-time chamber fire detection and diagnosis system based on building solid wall sound transmission according to claim 8 is characterized in that: An ignitable wood pile fire (4) is arranged on the indoor solid wall medium.

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