Fire detection method and device, terminal equipment and computer readable storage medium

CN117197980BActive Publication Date: 2026-08-21TCL AIR CONDITIONER ZHONGSHAN CO LTD
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Patent Information

Application Number
CN202311228876.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-09-21
Publication Date
2026-08-21
Estimated Expiration
2043-09-21

AI Technical Summary

Technical Problem

例如:在室内抽烟时,容易导致烟雾报警器错误告警

Benefits of technology

[0039] The fire detection method provided in this application obtains the current acoustic wave information of the target area and the reference acoustic wave information when there is no fire in the target area. After comparing the current acoustic wave information with the reference acoustic wave information, it determines whether there is a fire in the target area based on the current acoustic wave information. This application can solve the problem that smoke detectors cannot effectively alarm for fires.

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Abstract

The application provides a fire detection method and device, terminal equipment and a computer readable storage medium. The method comprises: obtaining current sound wave information of a target area; obtaining reference sound wave information of the target area; comparing the reflection time of the current sound wave information and the reference sound wave information to obtain a reflection time comparison result; and determining that the target area has an abnormal fire if the reflection time comparison result indicates that the first reflection time of the current sound wave information is less than the second reflection time of the reference sound wave information. The fire detection method provided by the application can determine whether the current sound wave information indicates that the target area has a fire by comparing the current sound wave information of the target area with the reference sound wave information of the target area when there is no fire. The application can solve the problem that a smoke alarm cannot effectively alarm a fire.
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Description

Technical Field

[0001] This application relates to the field of computer technology, specifically to a fire detection method, apparatus, terminal equipment, and computer-readable storage medium. Background Technology

[0002] With the increasing number of electrical appliances used, kitchens are increasingly equipped with more and more appliances. At the same time, the kitchen is the area in the home most prone to open flames. Therefore, the probability of a fire in the kitchen is growing.

[0003] In existing technologies, fire detection typically involves installing smoke detectors in fixed areas. However, this method has drawbacks. For example, smoking indoors can easily cause false alarms. Furthermore, smoke detectors are unsuitable for areas with high levels of grease and smoke, such as kitchens. Therefore, an effective fire detection method is needed. Summary of the Invention

[0004] This application provides a fire detection method that determines whether a fire exists in a target area by acquiring acoustic information of the target area.

[0005] Firstly, this application provides a fire detection method, the method comprising:

[0006] Obtain the current acoustic wave information of the target area;

[0007] Obtain reference acoustic wave information for the target region;

[0008] The reflection time is compared between the current acoustic wave information and the reference acoustic wave information to obtain a reflection time comparison result.

[0009] If the reflection time comparison result indicates that the first reflection time of the current acoustic wave information is less than the second reflection time of the reference acoustic wave information, it is determined that there is an abnormal fire in the target area.

[0010] In some embodiments of this application, the target area includes a target location for generating a normal open flame, and obtaining reference acoustic information of the target area includes:

[0011] Obtain first reference acoustic wave information indicating the presence of a normal open flame at the target location;

[0012] Obtain second reference acoustic wave information indicating that there is no normal open flame at the target location, wherein the first reference acoustic wave information and the second reference acoustic wave information are the reference acoustic wave information.

[0013] In some embodiments of this application, obtaining the first reference acoustic information indicating the presence of a normal open flame at the target location includes:

[0014] The user is prompted to adjust the size of the normal open flame at the target location;

[0015] The user is prompted to move within the target area after each adjustment of the normal open flame, in order to obtain first reference acoustic wave information indicating that the user does not obstruct the normal open flame, and first reference acoustic wave information indicating that the user obstructs or partially obstructs the normal open flame.

[0016] In some embodiments of this application, determining that an abnormal fire exists in the target area includes:

[0017] The current acoustic wave information is compared with the first reference acoustic wave information and the second reference acoustic wave information respectively to obtain the feature comparison results.

[0018] Based on the comparison results of the features, it was determined that there was an abnormal fire in the target area.

[0019] In some embodiments of this application, the step of comparing the current acoustic wave information with the first reference acoustic wave information and the second reference acoustic wave information to obtain a feature comparison result includes:

[0020] The current acoustic wave information is compared with the first reference acoustic wave information using a first feature;

[0021] If the first feature comparison characterizes the presence of an open flame at a location other than the target location, the first feature comparison result is obtained;

[0022] If the open flame at the target location characterized by the first feature comparison does not match the normal open flame recorded in the first reference acoustic information, a second feature comparison result is obtained.

[0023] The current acoustic wave information is compared with the second reference acoustic wave information using a second feature;

[0024] If the second feature comparison indicates that there is an open flame at a location other than the target location, a third feature comparison result is obtained.

[0025] In some embodiments of this application, after comparing the reflection time of the current acoustic wave information with the reference acoustic wave information to obtain a reflection time comparison result, the method further includes:

[0026] If the reflection time comparison result indicates that the first reflection time of the current acoustic wave information is equal to the second reflection time of the reference acoustic wave information, it is determined that there is no abnormal fire in the target area.

[0027] If the reflection time comparison result indicates that the first reflection time of the current sound wave information is greater than the second reflection time of the reference sound wave information, it is determined that there is abnormal smoke and dust in the target area.

[0028] In some embodiments of this application, after determining that an abnormal fire exists in the target area, the method further includes:

[0029] Analyze the waveform characteristics of the current acoustic information to determine the distribution of the abnormal fire.

[0030] Based on the distribution, the severity of the abnormal fire situation is determined;

[0031] Based on the severity level, determine the corresponding alarm level and issue an alarm.

[0032] Secondly, this application also provides a fire detection device, the device comprising:

[0033] The first acquisition module is used to acquire the current acoustic wave information of the target area;

[0034] The second acquisition module is used to acquire reference acoustic wave information of the target area;

[0035] The comparison module is used to compare the reflection time of the current sound wave information with the reference sound wave information to obtain a reflection time comparison result;

[0036] The determination module is used to determine that there is an abnormal fire in the target area if the reflection time comparison result indicates that the first reflection time of the current sound wave information is less than the second reflection time of the reference sound wave information.

[0037] Thirdly, this application also provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps in any of the fire detection methods described above.

[0038] Fourthly, this application also provides a computer-readable storage medium storing a computer program that is executed by a processor to implement the steps in any of the fire detection methods described above.

[0039] The fire detection method provided in this application obtains the current acoustic wave information of the target area and the reference acoustic wave information when there is no fire in the target area. After comparing the current acoustic wave information with the reference acoustic wave information, it determines whether there is a fire in the target area based on the current acoustic wave information. This application can solve the problem that smoke detectors cannot effectively alarm for fires. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a schematic diagram of a fire detection system provided in the embodiments of this application;

[0042] Figure 2 This is a schematic flowchart of one embodiment of the fire detection method in this application;

[0043] Figure 3 This is a schematic diagram of one embodiment of the fire detection device in this application;

[0044] Figure 4 This is a schematic diagram of one embodiment of the fire detection device in this application;

[0045] Figure 5 This is a schematic diagram of a functional module of the fire detection device in the embodiments of this application;

[0046] Figure 6 This is a schematic diagram of the structure of the terminal device in the embodiments of this application. Detailed Implementation

[0047] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] In the description of this application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0049] In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. Furthermore, it is understood that in the specific embodiments of this application, user information, user data, and other related data are involved. When the above embodiments of this application are applied to specific products or technologies, user permission or consent is required, and the collection, use, and processing of related data must comply with the relevant laws, regulations, and standards of the relevant countries and regions.

[0050] To enable any person skilled in the art to implement and use this application, the following description is provided. In this description, details are set forth for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be implemented without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of this application with unnecessary detail. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0051] This application provides a fire detection method, apparatus, equipment, and storage medium, which are described in detail below.

[0052] Please see Figure 1 , Figure 1 This is a schematic diagram of a fire detection system provided in an embodiment of this application. The fire detection system may include a terminal device 10 and a radar device 20, and the radar device 20 may transmit data to the terminal device 10. Figure 1 The terminal device 10 can acquire the current acoustic data acquired by the radar device 20 to execute the fire detection method in this application.

[0053] In this embodiment of the application, the terminal device 10 may include, but is not limited to, a desktop computer, a portable computer, a network server, a PDA (Personal Digital Assistant), a tablet computer, a wireless terminal device, an embedded device, etc.

[0054] In the embodiments of this application, the terminal device 10 and the radar device 20 can communicate through any communication method, including but not limited to mobile communication based on the 3rd Generation Partnership Project (3GPP), Long Term Evolution (LTE), and Worldwide Interoperability for Microwave Access (WiMAX), or computer network communication based on the TCP / IP Protocol Suite (TCP / IP) and User Datagram Protocol (UDP).

[0055] It should be noted that, Figure 1 The schematic diagram of the fire detection system shown is merely an example. The fire detection system and scenario described in this application are intended to more clearly illustrate the technical solutions of this application and do not constitute a limitation on the technical solutions provided in this application. As those skilled in the art will know, with the evolution of fire detection systems and the emergence of new business scenarios, the technical solutions provided in this application are also applicable to similar technical problems.

[0056] like Figure 2 As shown, Figure 2 This is a schematic flowchart of one embodiment of the fire detection method in this application. The fire detection method may include the following steps 201-204:

[0057] 201. Obtain the current acoustic wave information of the target area.

[0058] In this embodiment, the target area can be any area, such as a kitchen, living room, bedroom, office, hall, etc., and no specific limitation is made in this embodiment. Furthermore, in this embodiment, the current acoustic information of the target area can be obtained in the following way: For example, a radar device can be installed at any or a designated location in the target area. This radar device can include an acoustic wave transmitting device and an acoustic wave receiving device. When it is necessary to obtain the current acoustic information, the terminal device can control the radar device to transmit acoustic waves. At this time, the acoustic waves can pass through the walls of the target area and reflect back to the radar device, allowing the radar device to receive the reflected acoustic wave data. Then, the radar device sends the generated acoustic wave data and the reflected acoustic wave data to the terminal device, thus obtaining the current acoustic information of the target area. Of course, in this embodiment, the radar device can also operate for a long time and transmit acoustic wave data to the terminal device in real time. Furthermore, in this embodiment, the radar device can be any type of radar device, and no specific limitation is made in this embodiment.

[0059] 202. Obtain reference acoustic wave information for the target area.

[0060] In this embodiment, the reference acoustic wave information of the target area can still be obtained through radar equipment. Specifically, the user manually activates the radar, enabling the radar equipment to acquire reference acoustic wave information. For example, in practical application scenarios, the user can select the function to acquire reference acoustic wave information through a terminal device, and then the radar equipment can begin acquiring reference acoustic wave information of the target area. The purpose of acquiring reference acoustic wave information is to provide acoustic wave samples when there is no open flame in the target area, so that after acquiring the current acoustic wave information, it can be compared with the reference acoustic wave information to determine whether there is an open flame in the target area.

[0061] 203. Compare the reflection time of the current sound wave information with that of the reference sound wave information to obtain the reflection time comparison result.

[0062] Once the reference and current sound wave information are obtained, a feature comparison between the two types of sound wave information can be performed. It should be noted that when an open flame is present in a closed space, the flame consumes oxygen, causing a decrease in the gas density within the closed space. In other words, the number of gas molecules in the closed space decreases. With fewer gas molecules, the resistance to sound wave propagation decreases, resulting in a slight increase in the propagation speed of sound waves in a space with fewer gas molecules. Based on this principle, it is necessary to compare the reflection times of the current sound wave information and the reference sound wave information.

[0063] 204. If the reflection time comparison result indicates that the first reflection time of the current sound wave information is less than the second reflection time of the reference sound wave information, it is determined that there is an abnormal fire in the target area.

[0064] Based on the above description, if an open flame occurs within the target area, the time between the radar emitting and receiving the sound wave will be less than the time when no open flame exists within the target area. If the time between the radar emitting and receiving the sound wave is equal to the time when no open flame exists within the target area, then it can be proven that no open flame exists within the target area.

[0065] The fire detection method provided in this application obtains the current acoustic wave information of the target area and the reference acoustic wave information when there is no fire in the target area. After comparing the current acoustic wave information with the reference acoustic wave information, it determines whether there is a fire in the target area based on the current acoustic wave information. This application can solve the problem that smoke detectors cannot effectively alarm for fires.

[0066] To better implement the embodiments of this application, in one embodiment, the target area includes a target location for generating a normal open flame, and obtaining reference acoustic information of the target area includes:

[0067] Acquire first reference acoustic wave information indicating the presence of a normal open flame at the target location; acquire second reference acoustic wave information indicating the absence of a normal open flame at the target location. The first and second reference acoustic wave information are used as reference acoustic wave information.

[0068] However, in real-world applications, the target area may be subject to normal fire activity. For example, the flame on a stove while cooking in a kitchen. Therefore, the location of the stove in the kitchen can be the target location in this application's embodiments. Thus, when there is no open flame on the stove, the method of the above embodiments is effective. However, when there is an open flame on the stove, the solution of the above embodiments will fail. Therefore, to solve the problem of the above embodiments failing when there is an open flame on the stove, this application, when obtaining reference acoustic information, also needs to obtain first reference acoustic information when there is an open flame at the target location and second reference acoustic information when there is no open flame at the target location. At this time, if the reflection time of the current acoustic information is less than that of the second reference acoustic information but greater than or equal to the reflection time of the first reference acoustic information, then the fire can be determined to be an open flame on the stove. If the reflection time of the current acoustic information is less than that of the first reference acoustic information, it proves that the oxygen consumption in the target area exceeds the oxygen consumption of a normal open flame on the stove, thus proving that there are other open flames in the kitchen besides the stove flame.

[0069] It should be noted that in this embodiment, the method of obtaining the first reference acoustic wave information and the second acoustic wave reference information is the same as the method of obtaining the reference acoustic wave information in the above embodiment, and the specific details will not be repeated here.

[0070] To better implement the embodiments of this application, in one embodiment of this application, obtaining first reference acoustic wave information indicating the presence of a normal open flame at a target location includes:

[0071] The system prompts the user to adjust the size of the normal open flame at the target location; it also prompts the user to move within the target area after each adjustment of the normal open flame to obtain the first reference acoustic wave information of the normal open flame when the user does not obstruct it, as well as the first reference acoustic wave information of the normal open flame when the user obstructs or partially obstructs it.

[0072] As can be seen from the above embodiments, when a user uses an open flame at a target location, such as a stove, the flame size varies. Therefore, it is also necessary to obtain reference acoustic wave information for different flame sizes. Furthermore, when a user uses an open flame in the kitchen, they are also moving around. When the user moves, they will be between the open flame and the radar, thus blocking the propagation path of the acoustic waves to the open flame. To minimize errors, the user needs to move back and forth within the target area when obtaining the first reference acoustic wave information.

[0073] Specifically, in this embodiment, a speaker or similar device can be installed on the radar equipment. When a user activates the radar equipment to obtain reference acoustic wave information via a terminal device, the terminal device can control the speaker to play corresponding prompts to instruct the user to perform corresponding actions. For example, prompts such as "Please turn the stove flame to maximum," "Please turn the stove flame to minimum," or "Please walk back and forth in the kitchen" can be played. Each time the user is prompted to change the stove flame, a prompt to walk back and forth in the kitchen can be played to obtain reference acoustic wave information about the user's blocking of the flame at different flame sizes.

[0074] To better implement the embodiments of this application, in one embodiment of this application, determining that an abnormal fire exists in the target area includes:

[0075] The current acoustic wave information is compared with the first reference acoustic wave information and the second reference acoustic wave information to obtain the feature comparison results; based on the feature comparison results, it is determined that there is an abnormal fire in the target area.

[0076] The above embodiments provide a scheme for determining the fire situation by comparing reflection times. To further improve the fire situation determination, after comparing the reflection times, if the comparison result indicates that a fire currently exists in the target area, to avoid errors in the time comparison, a comparison can also be made using acoustic images. Specifically, since the sound waves emitted by radar equipment are ultrasonic waves, acoustic imaging of the target area can be performed based on the reflected ultrasonic waves. When the reflection time comparison result indicates that the first reflection time of the current acoustic information is less than the second reflection time of the reference acoustic information, the acoustic image features of the two can be compared. If the two acoustic images do not match, and flame image features are present in the acoustic image corresponding to the current acoustic information, then it can be determined that an abnormal fire exists in the target area.

[0077] It should be noted that, in this embodiment, the comparison of acoustic image features can be performed as follows: Data preprocessing: The acquired current acoustic information and reference acoustic information, i.e., sonar imaging data, are preprocessed to prepare for subsequent comparative analysis. This includes noise removal, compensation for the response characteristics of the sonar instrument, and adjustment of image brightness and contrast. Feature extraction: Features are extracted from the sonar image to represent and describe the content of the image. Commonly used features include edges, textures, and colors. Feature extraction methods can be based on traditional image processing techniques or deep learning methods for feature learning. Feature comparison: The similarity or difference between the features of two sonar images is compared using appropriate similarity measurement methods. Commonly used similarity measurement methods include the Structural Similarity Index (SSIM) and the Pearson Correlation Coefficient. Result analysis and judgment: The comparison results are analyzed, and based on specific application requirements and threshold settings, it is determined whether the sonar images are similar or different. Further processing, display, or decision-making can be performed based on the comparison results. When there is a discrepancy between the two, the presence of areas with flame characteristics can be determined based on the sonar image corresponding to the current sound wave information. If such areas exist, it is determined that there is an abnormal fire in the target area.

[0078] To better implement the embodiments of this application, in one embodiment, the current acoustic wave information is compared with the first reference acoustic wave information and the second reference acoustic wave information to obtain the feature comparison result, including:

[0079] The current acoustic wave information is compared with the first reference acoustic wave information using a first feature comparison. If the first feature comparison indicates that there is an open flame at a location other than the target location, a first feature comparison result is obtained. If the first feature comparison indicates that the open flame at the target location does not match the normal open flame recorded in the first reference acoustic wave information, a second feature comparison result is obtained. The current acoustic wave information is compared with the second reference acoustic wave information using a second feature comparison. If the second feature comparison indicates that there is an open flame at a location other than the target location, a third feature comparison result is obtained.

[0080] The above embodiments provide an implementation method for obtaining first reference acoustic wave information and second acoustic wave reference information. Therefore, if the obtained reference acoustic wave information includes first reference acoustic wave information and second acoustic wave reference information, the current acoustic wave information can be compared with the first reference acoustic wave information and the second acoustic wave reference information respectively, thereby obtaining different feature comparison results. Thus, based on the different acoustic wave comparison results, a specific alarm method can be determined.

[0081] As can be seen from the above embodiments, the first reference acoustic information includes reference acoustic information when there is an open flame at the target location. Therefore, if the current acoustic information indicates that there is an open flame outside the target location, a first feature comparison result can be obtained. However, it should be noted that if the flame on the stove is too large, it is considered an abnormal flame. For example, the stove may be on fire. In this case, if the current acoustic information indicates that there is an open flame at the target location, and the existing open flame is larger than the flame at the target location in the first reference acoustic information, a second feature comparison result can be determined. Meanwhile, the second reference acoustic information is acoustic information when there is no open flame at the stove. Therefore, if the second feature comparison indicates that there is an open flame outside the target location, a third feature comparison result can be obtained. It should be noted that the method of feature comparison in this embodiment is the same as in the above embodiments, and will not be elaborated further here.

[0082] To better implement the embodiments of this application, in one embodiment, after comparing the reflection time of the current sound wave information with the reference sound wave information to obtain the reflection time comparison result, the method further includes:

[0083] If the reflection time comparison result indicates that the first reflection time of the current sound wave information is equal to the second reflection time of the reference sound wave information, it is determined that there is no abnormal fire in the target area; if the reflection time comparison result indicates that the first reflection time of the current sound wave information is greater than the second reflection time of the reference sound wave information, it is determined that there is abnormal smoke in the target area.

[0084] The above embodiments illustrate that when an open flame exists in a closed space, the flame consumes oxygen, causing a decrease in gas density. In other words, the number of gas molecules in the closed space decreases. With fewer gas molecules, the resistance to sound wave propagation decreases, resulting in a slight increase in the speed of sound propagation in a space with fewer gas molecules. Conversely, the more molecules in a closed space, the easier it is to block the speed of sound wave propagation. Therefore, when cooking fumes enter the air from a closed space, the number of air molecules in the closed space increases. Based on this, if the first reflection time of the current sound wave information is equal to the second reflection time of the reference sound wave information, it is determined that there is no abnormal fire in the target area; or, if the reflection time of the current sound wave information is greater than the reflection time of the reference sound wave information, it can be proven that there is abnormal fumes or smoke in the target area. In this case, the speaker can alert the user that there is a large amount of fumes in the kitchen, allowing the user to perform cleaning operations.

[0085] To better implement the embodiments of this application, in one embodiment of this application, after determining that an abnormal fire exists in the target area, the method further includes:

[0086] Analyze the waveform characteristics of the current acoustic information to determine the distribution of abnormal fires; based on the distribution, determine the severity of the abnormal fires; based on the severity, determine the corresponding alarm level to issue an alarm.

[0087] The above embodiments provide implementation methods for determining abnormal fire situations. After determining that an abnormal fire exists in the target area, this application embodiment can also determine the size of the flame. For example, it can analyze the size of the flame range in the sonar image corresponding to the current acoustic information. Different range thresholds can be set, with each threshold range corresponding to a severity level. Then, the specific flame range is compared with each range threshold to determine the severity of the fire corresponding to the current acoustic information. In addition, in this application embodiment, different severity levels can correspond to different alarm levels, and each alarm level corresponds to a different alarm method. For example, the sound frequency of the alarm beep may be different, or the voice of the alarm sound may be different, etc., and this application embodiment does not limit the specifics.

[0088] Furthermore, embodiments of this application also provide a structure for a device installed in a target area for detection. Specifically, as follows... Figure 3 as well as Figure 4As shown in the diagram. The fume detection device involved in this solution comprises a radar device 110 and a planar array 120. During operation, the radar device 110 uniformly transmits ultrasonic signal waves within the kitchen space, and the reflected signals are collected by the planar array 120. The time difference between the two signals is recorded by the electronic control module 200 and then passed to the processor for further analysis. The electronic control module 200 consists of a processor and an electronic control board, which primarily processes external input current and integrates a buzzer for alarm functionality. The overall structure comprises a frame 310 and a cover plate 320, assembled using a snap-fit ​​mechanism. To accommodate ceiling installation requirements in the kitchen space, the frame size is 300mm*300mm (consistent with the size of a standard aluminum ceiling panel), and assembly with the ceiling joists is achieved using snap-fit ​​mechanisms along the frame edges.

[0089] To better implement the fire detection method in the embodiments of this application, a fire detection device is also provided in the embodiments of this application, such as... Figure 5 As shown, device 30 includes:

[0090] The first acquisition module 31 is used to acquire the current acoustic wave information of the target area;

[0091] The second acquisition module 32 is used to acquire reference acoustic wave information of the target area;

[0092] Comparison module 33 is used to compare the reflection time of the current sound wave information with the reference sound wave information to obtain the reflection time comparison result;

[0093] The determination module 34 is used to determine that there is an abnormal fire in the target area if the reflection time comparison result indicates that the first reflection time of the current sound wave information is less than the second reflection time of the reference sound wave information.

[0094] The fire detection device provided in this application acquires current acoustic wave information of the target area through a first acquisition module 31 and reference acoustic wave information of the target area when there is no fire through a second acquisition module 32. The current acoustic wave information and the reference acoustic wave information are compared through a comparison module 33, and then a determination module 34 determines whether the current acoustic wave information indicates the presence of a fire in the target area. This application solves the problem that smoke detectors cannot effectively warn of fires.

[0095] In some embodiments of this application, the second acquisition module 32 is specifically used for:

[0096] Obtain the first reference acoustic wave information indicating the presence of a normal open flame at the target location;

[0097] Acquire second reference acoustic wave information where no normal open flame exists at the target location. The first and second reference acoustic wave information are used as reference acoustic wave information.

[0098] In some embodiments of this application, the second acquisition module 32 is further configured to:

[0099] The user is prompted to generate and adjust the size of the normal open flame at the target location;

[0100] The system prompts the user to move to the target area after each adjustment of the normal open flame, in order to obtain the first reference acoustic wave information of the normal open flame when the user does not block it, and the first reference acoustic wave information of the normal open flame when the user blocks or partially blocks it.

[0101] In some embodiments of this application, the determining module 34 is specifically used for:

[0102] The current acoustic wave information is compared with the first reference acoustic wave information and the second reference acoustic wave information respectively to obtain the feature comparison results.

[0103] Based on the feature comparison results, it was determined that there was an abnormal fire in the target area.

[0104] In some embodiments of this application, the determining module 34 is further configured to:

[0105] Compare the current acoustic wave information with the first reference acoustic wave information using the first feature;

[0106] If the first feature comparison indicates that there is an open flame at a location other than the target location, the first feature comparison result is obtained;

[0107] If the open flame at the target location characterized by the first feature comparison does not match the normal open flame recorded in the first reference acoustic information, the second feature comparison result is obtained.

[0108] Compare the current acoustic wave information with the second reference acoustic wave information using the second feature;

[0109] If the second feature comparison indicates the presence of an open flame at a location other than the target location, the third feature comparison result is obtained.

[0110] In some embodiments of this application, the fire detection device further includes an oil fume detection module, which is specifically used for:

[0111] If the reflection time comparison result indicates that the first reflection time of the current acoustic wave information is equal to the second reflection time of the reference acoustic wave information, it is determined that there is no abnormal fire in the target area.

[0112] If the reflection time comparison result indicates that the first reflection time of the current sound wave information is greater than the second reflection time of the reference sound wave information, it is determined that there is abnormal smoke and dust in the target area.

[0113] In some embodiments of this application, the fire detection device further includes an alarm module, which is specifically used for:

[0114] Analyze the waveform characteristics of the current acoustic information to determine the distribution of abnormal fires;

[0115] Determine the severity of abnormal fires based on their distribution.

[0116] Determine the corresponding alarm level based on the severity, and then issue an alarm.

[0117] This application also provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the steps of any of the fire detection methods described in this application. This terminal device integrates any of the fire detection methods provided in this application, such as... Figure 6 As shown, it illustrates a structural schematic diagram of the terminal device involved in the embodiments of this application. Specifically:

[0118] The terminal device may include components such as a processor 401 with one or more processing cores, a memory 402 with one or more computer-readable storage media, a power supply 403, and an input unit 404. Those skilled in the art will understand that... Figure 6 The terminal device structure shown does not constitute a limitation on the terminal device and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein:

[0119] The processor 401 is the control center of the terminal device. It connects various parts of the terminal device via various interfaces and lines, and performs various functions and processes data by running or executing software programs and / or modules stored in the memory 402, and by calling data stored in the memory 402, thereby providing overall monitoring of the terminal device. Optionally, the processor 401 may include one or more processing cores; the processor 401 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. Preferably, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and application programs, and the modem processor mainly handles wireless communication. It is understood that the aforementioned modem processor may not be integrated into the processor 401.

[0120] The memory 402 can be used to store software programs and modules. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 with access to the memory 402.

[0121] The terminal device also includes a power supply 403 that supplies power to the various components. Preferably, the power supply 403 can be logically connected to the processor 401 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 403 may also include one or more DC or AC power supplies, recharging systems, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0122] The terminal device may also include an input unit 404, which can be used to receive input digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0123] Although not shown, the terminal device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 401 in the terminal device loads the executable files corresponding to the processes of one or more applications into the memory 402 according to the following instructions, and the processor 401 runs the applications stored in the memory 402 to realize various functions, such as:

[0124] Obtain the current acoustic wave information of the target area;

[0125] Acquire reference acoustic wave information for the target area;

[0126] The reflection time is compared with the current sound wave information and the reference sound wave information to obtain the reflection time comparison result.

[0127] If the reflection time comparison result indicates that the first reflection time of the current sound wave information is less than the second reflection time of the reference sound wave information, it is determined that there is an abnormal fire in the target area.

[0128] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0129] Therefore, embodiments of this application provide a computer-readable storage medium, which may include: read-only memory (ROM), random access memory (RAM), a disk, or an optical disk, etc. A computer program is stored thereon, and the computer program is loaded by a processor to execute the steps in any of the fire detection methods provided in embodiments of this application. For example, the computer program loaded by the processor can execute the following steps:

[0130] Obtain the current acoustic wave information of the target area;

[0131] Acquire reference acoustic wave information for the target area;

[0132] The reflection time is compared with the current sound wave information and the reference sound wave information to obtain the reflection time comparison result.

[0133] If the reflection time comparison result indicates that the first reflection time of the current sound wave information is less than the second reflection time of the reference sound wave information, it is determined that there is an abnormal fire in the target area.

[0134] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the detailed descriptions of other embodiments above, which will not be repeated here.

[0135] In practice, each of the above units or structures can be implemented as an independent entity or can be arbitrarily combined to be implemented as the same or several entities. For the specific implementation of each of the above units or structures, please refer to the previous method embodiments, which will not be repeated here.

[0136] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0137] The fire detection method and apparatus provided in the embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principle and implementation of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core idea of ​​this application. At the same time, for those skilled in the art, there will be changes in the specific implementation and application scope based on the idea of ​​this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A fire detection method, characterized in that, The method includes: Obtain the current acoustic wave information of the target area; Obtain reference acoustic wave information for the target region; The reflection time is compared between the current acoustic wave information and the reference acoustic wave information to obtain the reflection time comparison result. The target area includes a target location for generating a normal open flame; the step of obtaining reference acoustic information of the target area includes: obtaining first reference acoustic information of the presence of a normal open flame at the target location and obtaining second reference acoustic information of the absence of a normal open flame at the target location; If the reflection time comparison result indicates that the reflection time of the current sound wave information is less than the reflection time of the second reference sound wave information but greater than or equal to the reflection time of the first reference sound wave information, then the fire is determined to be an open flame on the stove. If the reflection time comparison result indicates that the reflection time of the current acoustic wave information is less than the reflection time of the first reference acoustic wave information, it is determined that there is an abnormal fire in the target area.

2. The fire detection method according to claim 1, characterized in that, The acquisition of the first reference acoustic information indicating the presence of a normal open flame at the target location includes: The user is prompted to adjust the size of the normal open flame at the target location; The user is prompted to move within the target area after each adjustment of the normal open flame, in order to obtain first reference sound wave information indicating that the target person does not obstruct the normal open flame, and first reference sound wave information indicating that the target person obstructs or partially obstructs the normal open flame.

3. The fire detection method according to claim 1, characterized in that, The determination that an abnormal fire exists in the target area includes: The current acoustic wave information is compared with the first reference acoustic wave information and the second reference acoustic wave information respectively to obtain the feature comparison results; Based on the comparison results of the features, it was determined that there was an abnormal fire in the target area.

4. The fire detection method according to claim 3, characterized in that, The step of comparing the current acoustic wave information with the first reference acoustic wave information and the second reference acoustic wave information to obtain the feature comparison result includes: The current acoustic wave information is compared with the first reference acoustic wave information using a first feature; If the first feature comparison characterizes the presence of an open flame at a location other than the target location, the first feature comparison result is obtained; If the open flame at the target location, as characterized by the first feature comparison, does not match the normal open flame recorded in the first reference acoustic information, a second feature comparison result is obtained. The current acoustic wave information is compared with the second reference acoustic wave information using a second feature; If the second feature comparison indicates that there is an open flame at a location other than the target location, a third feature comparison result is obtained.

5. The fire detection method according to claim 1, characterized in that, After comparing the reflection time of the current acoustic wave information with the reference acoustic wave information to obtain the reflection time comparison result, the method further includes: If the reflection time comparison result indicates that the first reflection time of the current acoustic wave information is equal to the second reflection time of the reference acoustic wave information, it is determined that there is no abnormal fire in the target area. If the reflection time comparison result indicates that the first reflection time of the current sound wave information is greater than the second reflection time of the reference sound wave information, it is determined that there is abnormal smoke and dust in the target area.

6. The fire detection method according to claim 1, characterized in that, After determining that an abnormal fire exists in the target area, the method further includes: Analyze the waveform characteristics of the current acoustic information to determine the distribution of the abnormal fire. Based on the distribution, the severity of the abnormal fire situation is determined; Based on the severity level, determine the corresponding alarm level and issue an alarm.

7. A fire detection device, characterized in that, The device includes: The first acquisition module is used to acquire the current acoustic wave information of the target area; The second acquisition module is used to acquire reference acoustic wave information of the target area; The comparison module is used to compare the reflection time of the current acoustic wave information with the reference acoustic wave information to obtain a reflection time comparison result; the target area includes a target location for generating a normal open flame; the second acquisition module is used to acquire reference acoustic wave information of the target area, including: acquiring first reference acoustic wave information where a normal open flame exists at the target location and acquiring second reference acoustic wave information where a normal open flame does not exist at the target location; The determination module is used to determine the fire as an open flame on the stove if the reflection time comparison result indicates that the reflection time of the current sound wave information is less than the reflection time of the second reference sound wave information but greater than or equal to the reflection time of the first reference sound wave information. If the reflection time comparison result indicates that the reflection time of the current acoustic wave information is less than the reflection time of the first reference acoustic wave information, it is determined that there is an abnormal fire in the target area.

8. A terminal device, characterized in that, The terminal device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the steps of the fire detection method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that is executed by a processor to implement the steps of the fire detection method according to any one of claims 1 to 6.

Citation Information

Patent Citations

  • Fire sensor

    JP2022117536A