Fire monitoring method, apparatus, device, and medium

Abstract

The embodiments of the present disclosure disclose a fire monitoring method, device, equipment and medium, which are applied to a router device. The method comprises the following steps: acquiring a gas change feature and a wireless channel disturbance feature detected by the router device; wherein the gas change feature is used to represent the change degree of total volatile organic compounds in the environment, and the wireless channel disturbance feature is used to represent the change degree of wireless signals caused by environmental thermal airflow disturbance; obtaining a comprehensive fire risk score according to the gas change feature and the wireless channel disturbance feature; in the case that the comprehensive fire risk score meets a fire triggering condition, determining that a fire occurs and performing an alarm operation.

Description

Technical Field

[0001] This disclosure relates to the field of smart home device technology, and more specifically, to a fire monitoring method, apparatus, device, and medium. Background Technology

[0002] With the continuous growth of security needs, fire monitoring equipment has been widely used in various scenarios. Existing fire detection technologies mainly rely on smoke sensors or temperature sensors. These sensors require deployment on dedicated equipment and have a single triggering mechanism. For example, an alarm is triggered when the smoke concentration exceeds a smoke threshold, which can easily be falsely triggered by non-fire factors such as cooking fumes or steam. Similarly, an alarm is triggered when the temperature change rate exceeds a temperature change rate threshold, which can be misjudged by ambient temperature fluctuations (such as air conditioning operation or sunlight). These single triggering conditions easily lead to false triggering of non-fire events or missed detection of actual fires.

[0003] Therefore, how to achieve accurate and early fire detection without the need for additional dedicated equipment and while ensuring low power consumption is a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0004] The purpose of this disclosure is to provide a new technical solution for fire monitoring.

[0005] According to a first aspect of the present disclosure, a fire detection method is provided, applied to a router device, the method comprising: The router device detects gas change characteristics and wireless channel disturbance characteristics; wherein, the gas change characteristics are used to characterize the degree of change of total volatile organic compounds in the environment, and the wireless channel disturbance characteristics are used to characterize the degree of change of wireless signals caused by environmental thermal airflow disturbances. A comprehensive fire risk score is obtained based on the gas change characteristics and the wireless channel disturbance characteristics. If the comprehensive fire risk score meets the fire triggering conditions, a fire is determined to have occurred and an alarm is triggered.

[0006] Optionally, acquiring the gas change characteristics detected by the router device includes: The total volatile organic compound (TVOC) gas concentration signal in the environment is acquired by the TVOC sensor of the router device. The rate of change, acceleration, and drift of the gas concentration signal relative to a baseline are determined; wherein the baseline is determined based on historical gas concentration signals under fire-free conditions. The gas change characteristics are obtained based on the rate of change, acceleration, and drift of the gas concentration signal.

[0007] Optionally, obtaining the wireless channel disturbance characteristics detected by the router device includes: The wireless signal data output by the Wi-Fi module of the router device is obtained; wherein the wireless signal data includes channel state information and received signal strength indication; Determine the first variance of the channel state information and the second variance of the received signal strength indication; The wireless channel disturbance characteristics are obtained based on the first variance and the second variance.

[0008] Optionally, obtaining a comprehensive fire risk score based on the gas change characteristics and the wireless channel disturbance characteristics includes: Obtain the time correlation coefficient between the gas change characteristics and the wireless channel perturbation characteristics; The comprehensive fire risk score is obtained based on the gas change characteristics, the wireless channel disturbance characteristics, and the time correlation coefficient.

[0009] Optionally, obtaining the comprehensive fire risk score based on the gas change characteristics, the wireless channel disturbance characteristics, and the time correlation coefficient includes: The gas change characteristics, the wireless channel disturbance characteristics, and the time correlation coefficient are weighted and summed according to the first weight corresponding to the gas change characteristics, the second weight corresponding to the wireless channel disturbance characteristics, and the third weight corresponding to the time correlation coefficient to obtain the comprehensive fire risk score.

[0010] Optionally, the method further includes: If the gas change characteristics exceed the gas change characteristic threshold, then the wireless channel disturbance characteristics of the router device are obtained.

[0011] Optionally, the fire triggering condition includes at least one of the following: The overall fire risk score exceeds the fire triggering threshold; Multiple of the aforementioned comprehensive fire risk scores exceeded the fire triggering threshold; The average of multiple comprehensive fire risk scores exceeds the fire triggering threshold.

[0012] According to a second aspect of the present disclosure, a fire monitoring device is provided, applied to a router device, the device comprising: The first acquisition module is used to acquire gas change characteristics and wireless channel disturbance characteristics detected by the router device; wherein, the gas change characteristics are used to characterize the degree of change of volatile organic compounds in the environment, and the wireless channel disturbance characteristics are used to characterize the degree of change of wireless signals caused by environmental thermal airflow disturbances. The second acquisition module is used to obtain a comprehensive fire risk score based on the gas change characteristics and the wireless channel disturbance characteristics. The determination module is used to determine that a fire has occurred and to execute an alarm operation when the comprehensive fire risk score meets the fire triggering conditions.

[0013] According to a third aspect of the present disclosure, a router device is provided, comprising: a memory for storing executable computer instructions; and a processor for executing the method described in accordance with the first aspect above, under the control of the executable computer instructions.

[0014] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, wherein a computer program is stored on the computer-readable storage medium, the computer program implementing the method according to the first aspect above when executed by a processor.

[0015] This disclosure provides a fire monitoring method. First, it acquires gas change characteristics and wireless channel disturbance characteristics detected by a router device. Then, it obtains a comprehensive fire risk score based on these characteristics. When the comprehensive fire risk score meets the fire triggering conditions, it determines that a fire has occurred and executes an alarm. This method eliminates the need for dedicated equipment such as smoke or temperature sensors, enabling fire monitoring by reusing existing router hardware, thus reducing equipment deployment costs. Furthermore, by fusing features from both gas change and wireless channel disturbance dimensions, it avoids false triggering or missed alarms caused by a single triggering condition, improving the accuracy of fire identification. In addition, since the alarm is only executed when the comprehensive fire risk score meets the fire triggering conditions, continuous high-power sensor data acquisition and calculation are unnecessary, which helps reduce the router's power consumption.

[0016] Other features and advantages of this specification will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments of this specification and, together with their description, serve to explain the principles of this specification.

[0018] Figure 1 This is a schematic flowchart of a fire monitoring method provided in an embodiment of this disclosure; Figure 2 This is a schematic flowchart of a fire monitoring method provided in another embodiment of this disclosure; Figure 3 This is a schematic diagram of the structure of a fire monitoring device provided in an embodiment of this disclosure; Figure 4This is a block diagram of the hardware configuration of a router device for implementing a fire monitoring method, provided in an embodiment of this disclosure. Detailed Implementation

[0019] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the embodiments of the present disclosure.

[0020] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this disclosure or its application or use.

[0021] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0022] In all the examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0023] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0024] <Method Implementation> This disclosure provides a fire detection method applicable to router devices, such as... Figure 1 As shown, the fire monitoring method of this disclosure embodiment may include the following steps S1100 to S1300: Step S1100: Obtain the gas change characteristics and wireless channel disturbance characteristics detected by the router device.

[0025] Among these, gas change characteristics can be used to characterize the degree of change in total volatile organic compounds (TVOCs) in the environment. Gas change characteristics are usually positively correlated with the magnitude of changes in TVOC concentration in the environment; the more significant the change in gas concentration, the higher the gas change characteristic value, and the greater its contribution to determining the occurrence of a fire.

[0026] In one example, the router device is equipped with a total volatile organic compound (TVOC) sensor.

[0027] In this example, the gas change characteristics detected by the router device can be obtained in the following way: acquire the gas concentration signal of total volatile organic compounds in the environment collected by the total volatile organic compound sensor of the router device; determine the rate of change, acceleration, and drift of the gas concentration signal relative to the baseline; and obtain the gas change characteristics based on the rate of change, acceleration, and drift of the gas concentration signal.

[0028] The rate of change of the gas concentration signal G(t) can be the first derivative of the gas concentration signal G(t), dG / dt, which is used to characterize how fast the gas concentration changes with time.

[0029] The acceleration of the gas concentration signal G(t) can be the second derivative d²G / dt² of the gas concentration signal G(t), which is used to characterize the severity of the gas concentration change trend and can effectively identify the characteristics of rapid gas release in the early stage of a fire.

[0030] The baseline is determined based on historical gas concentration signals under fire-free conditions. For example, the baseline G_baseline can be the moving average of the gas concentration signal over a recent period under fire-free conditions.

[0031] Specifically, the gas change characteristic G_fire can be determined using the following formula (1): (1) Where dG / dt is the rate of change of the gas concentration signal G(t), α is the weight corresponding to the rate of change, used to adjust the contribution of the rate of change to the gas change characteristics, d²G / dt² is the acceleration of the gas concentration signal G(t), β is the weight corresponding to the acceleration, used to adjust the contribution of the acceleration to the gas change characteristics, and G(t) G_baseline is the drift of the gas concentration signal G(t) relative to the baseline, and γ is the weight corresponding to the drift, which is used to adjust the contribution of the drift to the gas change characteristics. α, β and γ can be preset according to the scenario and requirements.

[0032] Among them, wireless channel disturbance characteristics can be used to characterize the degree of change in wireless signals caused by environmental thermal airflow disturbances. Wireless channel disturbance characteristics are generally positively correlated with the intensity of environmental thermal airflow disturbances; the more severe the thermal airflow disturbance, the higher the wireless channel disturbance characteristic value, and the greater its contribution to determining the occurrence of a fire.

[0033] In one example, obtaining the gas change characteristics detected by the router device can be achieved as follows: acquiring wireless signal data output by the Wi-Fi module of the router device; wherein, the wireless signal data may include Channel State Information (CSI) and Received Signal Strength Indication (RSSI); determining a first variance of the Channel State Information and a second variance of the Received Signal Strength Indication; and obtaining wireless channel disturbance characteristics based on the first and second variances.

[0034] In this example, the Wi-Fi sensing module of the router device can obtain the wireless signal data output by the Wi-Fi module of the router device.

[0035] Specifically, wireless channel perturbation characteristics The following formula (2) can be used to determine it: (2) Wherein, Var(CSI) is the variance of channel state information, used to characterize the degree of disturbance of the multipath propagation path of wireless signal, and its weight is 1 by default. Var(RSSI) is the variance of received signal strength indication, used to characterize the overall fluctuation of signal strength. λ is the weight corresponding to this variance, used to adjust the contribution of the variance of received signal strength indication to the characteristics of wireless channel disturbance.

[0036] It should be noted that during a fire, hot air currents cause changes in the air's refractive index, which in turn disrupts the propagation path of wireless signals. This disruption manifests simultaneously as an increase in the variance of the Channel State Information (CSI) and aggravated fluctuations in the Received Signal Strength Indicator (RSSI). By fusing the variances of both, it is possible to capture fine-grained channel multipath variations and verify the disruption at the overall signal strength level, thereby more accurately identifying wireless channel anomalies caused by hot air currents.

[0037] For non-fire-related disturbances such as human movement and the opening and closing of doors and windows, the response modes of CSI and RSSI differ significantly from those in fire scenarios because they do not exhibit the refractive index change characteristics caused by hot airflow. Therefore, the above-mentioned fusion method can effectively distinguish disturbances and reduce false alarm rates.

[0038] Step S1200: Obtain a comprehensive fire risk score based on gas change characteristics and wireless channel disturbance characteristics.

[0039] In this embodiment, after obtaining the gas change characteristics and the wireless channel disturbance characteristics, the two characteristics can be fused to obtain a comprehensive fire risk score.

[0040] In one example, obtaining a comprehensive fire risk score based on gas change characteristics and wireless channel disturbance characteristics may further include the following steps S1221~S1222: Step S1221: Obtain the time correlation coefficient between gas change characteristics and wireless channel disturbance characteristics.

[0041] Among them, the time correlation coefficient is used to quantify the degree of synchronization between gas changes and wireless channel disturbances in the time dimension.

[0042] Specifically, the time correlation coefficient S between the gas change characteristics and the wireless channel disturbance characteristics can be determined according to the following formula (3): (3) Where dG / dt is the rate of change of the gas concentration signal, dW_fire / dt is the rate of change of the wireless channel disturbance characteristics, and corr(·) represents the Pearson correlation coefficient calculated within a preset sliding time window. The value of S is usually in the range of [-1, 1]. A positive value indicates that the two types of characteristics have the same trend, and a negative value indicates that the trends are opposite. The closer the absolute value is to 1, the stronger the synchronicity of the temporal changes of the two. In a fire scenario, volatile organic compounds produced by combustion are released rapidly, and at the same time, the hot airflow causes the wireless channel disturbance to intensify synchronously. The two types of characteristics have highly consistent trends, and the correlation coefficient S is positive and relatively large. In normal non-fire interference scenarios, only a single-dimensional feature anomaly will occur, making it difficult to form synchronous changes. The correlation coefficient S is relatively small or close to zero.

[0043] It should be noted that in the early stages of a fire, the hot airflow simultaneously causes a rapid increase in gas concentration and a continuous increase in wireless channel disturbance. The rates of change of these two factors have a strong temporal correlation, resulting in a significantly higher correlation coefficient. This embodiment uses the rate of change to calculate synchronicity, rather than directly using the original feature values. This effectively avoids noise interference caused by sensor baseline drift and small fluctuations in the steady state of the environment, accurately capturing the core characteristics of the synchronous abrupt changes in these two types of features during the fire triggering phase.

[0044] In other alternative implementations, the original wireless channel perturbation characteristics can also be directly used for synchronization calculation, i.e., satisfying S=corr(dG / dt, W_fire).

[0045] Step S1222: Obtain a comprehensive fire risk score based on gas change characteristics, wireless channel disturbance characteristics, and time correlation coefficient.

[0046] In step S1222, the comprehensive fire risk score is obtained by combining gas change characteristics, wireless channel disturbance characteristics, and time correlation coefficient. Specifically, the comprehensive fire risk score is obtained by weighting and summing the gas change characteristics, wireless channel disturbance characteristics, and time correlation coefficient according to the first weight corresponding to the gas change characteristics, the second weight corresponding to the wireless channel disturbance characteristics, and the third weight corresponding to the time correlation coefficient.

[0047] Specifically, the FireScore, the comprehensive fire risk score, can be determined according to the following formula (4): (4) Where G_fire represents the gas variation characteristics, W_fire represents the wireless channel perturbation characteristics, and S represents the time correlation coefficient. The first weight corresponding to the gas change characteristics, The second weight corresponding to the wireless channel perturbation characteristics. This is the third weight corresponding to the time correlation coefficient, and it usually satisfies... + + =1. The specific values ​​of each weight can be preset according to the actual scenario and needs. For example, in places where volatile organic compounds are easily generated, such as kitchens, the weight w1 can be appropriately increased; in open spaces such as warehouses and corridors, the weight w2 can be appropriately increased; for use scenarios with high security levels and strict suppression of false alarms, the weight w3 can be increased to strengthen the constraint role of timing synchronization in the judgment process.

[0048] This weighted fusion method integrates information from three dimensions: gas change amplitude, wireless disturbance intensity, and temporal synchronization consistency. It improves the accuracy of fire identification by relying on the mutual verification of multi-dimensional features, and adapts to diverse monitoring environments and different levels of security monitoring needs by adaptively adjusting the weights.

[0049] Step S1300: If the comprehensive fire risk score meets the fire triggering conditions, determine that a fire has occurred and execute the alarm operation.

[0050] Among them, the fire triggering condition is used to determine whether a fire has actually occurred. The fire triggering condition can be that the comprehensive fire risk score detected in real time at the current moment exceeds a preset fire judgment threshold, or it can be a comprehensive judgment based on the comprehensive fire risk scores at multiple consecutive times.

[0051] In one example, a fire triggering condition may include at least one of the following: all comprehensive fire risk scores exceed the fire triggering threshold, multiple comprehensive fire risk scores exceed the fire triggering threshold, or the average of multiple comprehensive fire risk scores exceeds the fire triggering threshold.

[0052] Specifically, the fire detection threshold can be preset based on the actual scenario and experience. For example, in places requiring high fire detection sensitivity, such as warehouses and kitchens, the fire detection threshold can be set to a lower value; in residential areas such as bedrooms and studies, the fire detection threshold can be set to a higher value to reduce the probability of false alarms.

[0053] When the comprehensive fire risk score meets the fire triggering conditions, the alarm module of the router device can perform an alarm operation, which may include, but is not limited to, any one or more of the following: Audible alarm: For example, the alarm module can be a buzzer. When the alarm is triggered, the buzzer emits a high-frequency sound to alert personnel on site.

[0054] Light alarm: For example, the alarm module can be an LED indicator. When the alarm is triggered, the LED indicator emits a red flashing light at a specific frequency (such as flashing twice per second).

[0055] Push notification: The alarm module can be a Wi-Fi module. When an alarm is triggered, it sends fire alarm information to the bound mobile device or cloud server via the Wi-Fi module. The fire alarm information may include the alarm time and real-time comprehensive fire risk score.

[0056] Linkage control: The alarm module can be a general purpose input / output interface (GPIO) or a relay module. When the alarm is triggered, the device outputs control level and switch command through the GPIO interface or relay module to link external devices to complete emergency response actions such as power failure protection, activation of simple fire extinguishing devices, and activation of smoke exhaust equipment.

[0057] This disclosure provides a control method that first acquires gas change characteristics and wireless channel disturbance characteristics detected by a router device, and then obtains a comprehensive fire risk score based on these characteristics. This allows for the determination of a fire and the execution of an alarm when the comprehensive fire risk score meets the fire triggering conditions. This method eliminates the need for dedicated equipment such as smoke or temperature sensors, enabling fire monitoring by reusing existing router hardware, thus reducing deployment costs. Furthermore, by fusing features from both gas change and wireless channel disturbance dimensions, it avoids false triggering or missed alarms caused by a single triggering condition, improving the accuracy of fire identification. Additionally, by only executing the alarm when the comprehensive fire risk score meets the fire triggering conditions, it eliminates the need for continuous high-power sensor data acquisition and calculation, thereby reducing router power consumption.

[0058] In one embodiment, such as Figure 2 As shown, the fire monitoring method of this disclosure embodiment may further include the following steps S2100 to S2600: Step S2100: Obtain the gas change characteristics detected by the router device.

[0059] In this embodiment, after the router device is started, the TVOC sensor can continuously collect the gas concentration signal of total volatile organic compounds in the environment. The router device calculates the rate of change, acceleration and drift of the gas concentration signal relative to the baseline based on the collected gas concentration signal, and outputs the gas change characteristics based on the rate of change, acceleration and drift of the gas concentration signal relative to the baseline.

[0060] Step S2200: Determine whether the gas change characteristics exceed the gas change characteristic threshold.

[0061] In this embodiment, the gas change characteristic threshold is used to determine whether the change in total volatile organic compounds in the environment reaches a level that may lead to a fire. The gas change characteristic threshold can be preset based on historical data or experiments. If the gas change characteristic exceeds the gas change characteristic threshold, step S2300 is executed; otherwise, step S2100 is executed, i.e., the gas change characteristic is continuously monitored.

[0062] Step S2300: If the gas change characteristics exceed the gas change characteristic threshold, obtain the wireless channel disturbance characteristics detected by the router device.

[0063] This embodiment employs a graded wake-up low-power operation logic. When the gas change characteristics do not exceed the gas change threshold, it indicates that the total volatile organic compound concentration in the environment is relatively stable, and the probability of a fire hazard is low. At this time, Wi... The Fi sensing module maintains a low-power sleep state, without accessing or resolving Wi-Fi. The wireless signal data output by the Fi module avoids power consumption losses caused by invalid calculations.

[0064] When the gas change characteristics exceed the gas change characteristic threshold, it is determined that there is a suspected fire risk in the environment. At this time, the router device wakes up the Wi-Fi sensing module, which reads the wireless signal data continuously output by the router device's Wi-Fi module during normal communication, and obtains the wireless channel disturbance characteristics based on the wireless signal data.

[0065] This tiered wake-up mechanism can significantly reduce the power consumption of the equipment during no-load monitoring while ensuring the reliability of fire monitoring.

[0066] Step S2400: Based on the gas change characteristics, the wireless channel disturbance characteristics, and the time correlation coefficient between the two, a comprehensive fire risk score is obtained.

[0067] For details on how to implement this step, please refer to step S1200 above, which will not be repeated here.

[0068] Step S2500: Determine whether the comprehensive fire risk score meets the fire triggering conditions.

[0069] The specific details of the fire triggering conditions in this step can be found in the aforementioned step S1300, and will not be repeated here.

[0070] In this embodiment, if the fire triggering conditions are met, the following step S2600 can be executed. If the fire triggering conditions are not met, it is determined that there is no real fire, and the gas change characteristics are monitored, that is, the above step S2100 is executed.

[0071] Step S2600: If the fire triggering conditions are met, a fire is determined to have occurred and an alarm operation is executed, and the process ends.

[0072] For details on how to implement this step, please refer to step S1300 above, which will not be repeated here.

[0073] The fire monitoring method adopted in this embodiment, on the one hand, relies on gas change characteristics, wireless channel disturbance characteristics and time-series synchronization correlation coefficient to make multi-dimensional fusion judgment, which greatly improves the accuracy of fire identification and effectively avoids false alarm problems caused by various daily environmental interferences; on the other hand, it relies on the operation strategy of gas feature pre-screening and wireless sensing module hierarchical wake-up, which greatly reduces the amount of data processing and power consumption when the equipment is idle, which saves hardware computing resources and can also effectively extend the overall stable operation time of the equipment.

[0074] <Device Embodiment> This disclosure also provides a fire monitoring device for use in router devices, such as... Figure 3 As shown, the router device 300 may include a first acquisition module 310, a second acquisition module 320, and a determination module 330.

[0075] The first acquisition module 310 is used to acquire gas change characteristics and wireless channel disturbance characteristics detected by the router device; wherein, the gas change characteristics are used to characterize the degree of change of volatile organic compounds in the environment, and the wireless channel disturbance characteristics are used to characterize the degree of change of wireless signals caused by environmental thermal airflow disturbances. The second acquisition module 320 is used to obtain a comprehensive fire risk score based on the gas change characteristics and the wireless channel disturbance characteristics. The determination module 330 is used to determine that a fire has occurred and to execute an alarm operation when the comprehensive fire risk score meets the fire triggering conditions.

[0076] In one embodiment, the first acquisition module 310 is configured to acquire a gas concentration signal of total volatile organic compounds (TVOCs) in the environment collected by the TVOC sensor of the router device; determine the rate of change, acceleration, and drift of the gas concentration signal relative to a baseline; wherein the baseline is determined based on historical gas concentration signals under fire-free conditions; and obtain the gas change characteristics based on the rate of change, acceleration, and drift of the gas concentration signal.

[0077] In one embodiment, the first acquisition module 310 is configured to acquire wireless signal data output by the Wi-Fi module of the router device; wherein the wireless signal data includes channel state information and received signal strength indication; determine a first variance of the channel state information and a second variance of the received signal strength indication; and obtain the wireless channel disturbance characteristics based on the first variance and the second variance.

[0078] In one embodiment, the second acquisition module 320 is used to acquire the time correlation coefficient between the gas change characteristics and the wireless channel disturbance characteristics; and to obtain the comprehensive fire risk score based on the gas change characteristics, the wireless channel disturbance characteristics, and the time correlation coefficient.

[0079] In one embodiment, the second acquisition module 320 is used to perform a weighted summation of the gas change characteristics, the wireless channel disturbance characteristics, and the time correlation coefficient according to the first weight corresponding to the gas change characteristics, the second weight corresponding to the wireless channel disturbance characteristics, and the third weight corresponding to the time correlation coefficient, to obtain the comprehensive fire risk score.

[0080] In one embodiment, the first acquisition module 310 is used to acquire the wireless channel disturbance characteristics detected by the router device when the gas change characteristics exceed the gas change characteristic threshold.

[0081] In one embodiment, the fire triggering condition includes at least one of the following: The overall fire risk score exceeds the fire triggering threshold; Multiple of the aforementioned comprehensive fire risk scores exceeded the fire triggering threshold; The average of multiple comprehensive fire risk scores exceeds the fire triggering threshold.

[0082] According to this embodiment, gas change characteristics and wireless channel disturbance characteristics detected by the router device are first acquired, and a comprehensive fire risk score is obtained based on these characteristics. This allows for the determination of a fire and the execution of an alarm when the comprehensive fire risk score meets the fire triggering conditions. Fire monitoring can be achieved by reusing existing router hardware without relying on dedicated equipment such as smoke sensors or temperature sensors, reducing equipment deployment costs. Furthermore, by fusing features from both gas change and wireless channel disturbance dimensions, false triggering or missed alarms caused by a single triggering condition are avoided, improving the accuracy of fire identification. In addition, the alarm operation is only executed when the comprehensive fire risk score meets the fire triggering conditions, eliminating the need for continuous high-power sensor data acquisition and calculation, thus reducing router power consumption.

[0083] <Equipment Example> This disclosure also provides a router device, such as Figure 4 As shown, the router device 400 includes a processor 410 and a memory 420.

[0084] The memory 420 can be used to store executable computer instructions.

[0085] The processor 410 can be used to execute a fire monitoring method according to embodiments of the present disclosure, under the control of executable computer instructions.

[0086] In another embodiment, the router device 400 may include the fire monitoring device 300 described above.

[0087] In one embodiment, each module of the fire monitoring device 300 can be implemented by the processor 410 running computer instructions stored in the memory 420.

[0088] This disclosure also provides a computer-readable storage medium storing computer instructions thereon, which, when executed by a processor, perform the fire monitoring method provided in this disclosure.

[0089] This disclosure can be a system, method, and / or computer program product. A computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for causing a processor to implement various aspects of this disclosure.

[0090] Computer-readable storage media can be tangible devices capable of holding and storing instructions for use by an instruction execution device. Computer-readable storage media can be, for example—but not limited to—electrical storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory sticks, floppy disks, mechanical encoding devices, such as punch cards or recessed protrusions storing instructions thereon, and any suitable combination of the foregoing. The computer-readable storage media used herein are not to be construed as transient signals themselves, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., light pulses through fiber optic cables), or electrical signals transmitted through wires.

[0091] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0092] Computer program instructions used to perform the operations of this disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing the status information of the computer-readable program instructions to implement various aspects of this disclosure.

[0093] Various aspects of this disclosure are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0094] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0095] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0096] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions. It will be known to those skilled in the art that implementation in hardware, implementation in software, and implementation in a combination of software and hardware are equivalent.

[0097] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, and are not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein. The scope of this disclosure is defined by the appended claims.

Claims

1. A fire monitoring method, characterized in that, Applied to router devices, the method includes: The router device detects gas change characteristics and wireless channel disturbance characteristics; wherein, the gas change characteristics are used to characterize the degree of change of total volatile organic compounds in the environment, and the wireless channel disturbance characteristics are used to characterize the degree of change of wireless signals caused by environmental thermal airflow disturbances. A comprehensive fire risk score is obtained based on the gas change characteristics and the wireless channel disturbance characteristics. If the comprehensive fire risk score meets the fire triggering conditions, a fire is determined to have occurred and an alarm is triggered.

2. The method according to claim 1, characterized in that, Acquiring the gas change characteristics detected by the router device includes: The total volatile organic compound (TVOC) gas concentration signal in the environment is acquired by the TVOC sensor of the router device. The rate of change, acceleration, and drift of the gas concentration signal relative to a baseline are determined; wherein the baseline is determined based on historical gas concentration signals under fire-free conditions. The gas change characteristics are obtained based on the rate of change, acceleration, and drift of the gas concentration signal.

3. The method according to claim 1, characterized in that, Obtaining the wireless channel disturbance characteristics detected by the router device includes: The wireless signal data output by the Wi-Fi module of the router device is obtained; wherein the wireless signal data includes channel state information and received signal strength indication; Determine the first variance of the channel state information and the second variance of the received signal strength indication; The wireless channel disturbance characteristics are obtained based on the first variance and the second variance.

4. The method according to claim 1, characterized in that, The process of obtaining a comprehensive fire risk score based on the gas change characteristics and the wireless channel disturbance characteristics includes: Obtain the time correlation coefficient between the gas change characteristics and the wireless channel perturbation characteristics; The comprehensive fire risk score is obtained based on the gas change characteristics, the wireless channel disturbance characteristics, and the time correlation coefficient.

5. The method according to claim 4, characterized in that, The process of obtaining the comprehensive fire risk score based on the gas change characteristics, the wireless channel disturbance characteristics, and the time correlation coefficient includes: The gas change characteristics, the wireless channel disturbance characteristics, and the time correlation coefficient are weighted and summed according to the first weight corresponding to the gas change characteristics, the second weight corresponding to the wireless channel disturbance characteristics, and the third weight corresponding to the time correlation coefficient to obtain the comprehensive fire risk score.

6. The method according to claim 1, characterized in that, The method further includes: If the gas change characteristics exceed the gas change characteristic threshold, then the wireless channel disturbance characteristics detected by the router device are acquired.

7. The method according to claim 1, characterized in that, The fire triggering conditions include at least one of the following: The overall fire risk score exceeds the fire triggering threshold; Multiple of the aforementioned comprehensive fire risk scores exceeded the aforementioned fire triggering threshold; The average of multiple comprehensive fire risk scores exceeds the fire triggering threshold.

8. A fire monitoring device, characterized in that, Applied to router devices, the device includes: The first acquisition module is used to acquire gas change characteristics and wireless channel disturbance characteristics detected by the router device; wherein, the gas change characteristics are used to characterize the degree of change of volatile organic compounds in the environment, and the wireless channel disturbance characteristics are used to characterize the degree of change of wireless signals caused by environmental thermal airflow disturbances. The second acquisition module is used to obtain a comprehensive fire risk score based on the gas change characteristics and the wireless channel disturbance characteristics. The determination module is used to determine that a fire has occurred and to execute an alarm operation when the comprehensive fire risk score meets the fire triggering conditions.

9. A router device, wherein, include: Memory is used to store executable computer instructions; A processor configured to execute the method according to any one of claims 1-7, under the control of the executable computer instructions.

10. A computer-readable storage medium, wherein, A computer program is stored on the computer-readable storage medium, which, when executed by a processor, implements the method according to any one of claims 1-7.

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