Fire early warning method, device, equipment and readable storage medium

Abstract

The application discloses a fire early warning method, device and equipment and a readable storage medium, relates to the technical field of fire warning, and comprises the following steps: acquiring an environmental temperature parameter and an environmental humidity parameter at an air inlet of an adiabatic phase change detection chamber; generating a first control instruction and a second control instruction according to the environmental temperature parameter and the environmental humidity parameter; driving a negative pressure modulation mechanism according to the first control instruction, so that the adiabatic phase change detection chamber establishes a negative pressure environment with a target vacuum degree; then driving a flow guide control mechanism according to the second control instruction, controlling the transient pressure release rate of the gas backflow to the adiabatic phase change detection chamber, so as to trigger an adiabatic expansion process; acquiring an optical scattering signal in the adiabatic expansion process, so as to judge whether the target aerosol exists in the adiabatic phase change detection chamber, and sending a fire warning signal when it is judged that the target aerosol exists. The application solves the problem that the prior art is prone to false negatives in a high-temperature and extremely dry environment and false positives in a high-humidity environment due to the use of fixed parameters.

Description

Technical Field

[0001] This invention relates to the field of fire early warning technology, and in particular to a method, apparatus, equipment and readable storage medium for early fire warning. Background Technology

[0002] Early fire warning is crucial for protecting life and property. Among existing fire detection technologies, condensation nucleus detectors based on the principle of adiabatic expansion are often used for early fire warning due to their extremely high sensitivity, capable of detecting submicron-sized smoke particles invisible to the naked eye.

[0003] The basic principle of a condensation nucleus detector based on the adiabatic expansion principle is as follows: by rapidly reducing the pressure inside the detection chamber, the gas inside the chamber undergoes adiabatic expansion, and the temperature drops sharply, causing water vapor to reach a supersaturated state. If smoke particles (aerosols) are present in the air, the water vapor will condense into droplets around the particles (heterogeneous nucleation). The fire can be determined by detecting the scattering signal of the droplets using optical methods.

[0004] However, traditional adiabatic expansion detectors typically employ a one-dimensional rigid coupling control strategy. That is, regardless of changes in environmental conditions, the pumping power of the vacuum pump (determining the negative pressure depth) and the opening time of the pressure relief valve (determining the pressure release rate) remain constant. This fixed-parameter mode has significant drawbacks in practical applications: 1. Risk of missed detection in high-temperature and extremely dry environments: In high-temperature and dry environments, the absolute humidity in the air is low. The fixed adiabatic expansion strength may not be sufficient to allow water vapor to reach a sufficient supersaturation, preventing water vapor from condensing on the surface of smoke particles and thus failing to generate an effective optical signal, resulting in missed detection.

[0005] 2. Risk of false alarms in high humidity environments: In high humidity environments, the water vapor content in the air is close to saturation. A fixed adiabatic expansion strength can lead to excessively high supersaturation, exceeding the critical point for homogeneous nucleation. At this point, even without smoke particles, water vapor will spontaneously condense into fog, generating background noise and causing false alarms. Summary of the Invention

[0006] This invention provides a fire early warning method, device, equipment, and readable storage medium to solve the technical problem that existing technologies using traditional adiabatic expansion detectors are prone to false alarms or missed alarms under extreme temperature and humidity conditions.

[0007] Firstly, a method for early fire warning is provided, including the following steps: Acquire the ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber; Generate a first control command and a second control command based on the ambient temperature and humidity parameters; According to the first control command, the negative pressure modulation mechanism is driven to establish a negative pressure environment with a target vacuum degree in the adiabatic phase change detection chamber. Then, according to the second control command, the flow guide control mechanism is driven to control the transient decompression rate of gas returning to the adiabatic phase change detection chamber, so as to trigger the adiabatic expansion process in the adiabatic phase change detection chamber. The optical scattering signal during the adiabatic expansion process is acquired, and the presence of target aerosol in the adiabatic phase change detection chamber is determined based on the optical scattering signal. A fire warning signal is issued when the presence of target aerosol is determined.

[0008] In some embodiments, generating the first control command and the second control command based on the ambient temperature parameter and the ambient humidity parameter includes: Using a preset nonlinear phase depth compensation operator, the pressure value of the target vacuum degree required to characterize the adiabatic expansion process in the first control command is determined based on the ambient temperature parameter and ambient humidity parameter. Using a pre-trained multidimensional time-domain dynamic response surface, the time-domain pulse width value of the transient decompression rate required to characterize the adiabatic expansion process in the second control command is determined based on the ambient temperature and humidity parameters.

[0009] In some embodiments, determining the pressure value representing the target vacuum degree required for the adiabatic expansion process in the first control command based on the ambient temperature and humidity parameters using a preset nonlinear phase depth compensation operator includes: The pressure value of the target vacuum level shows a positive gain response to the ambient temperature parameter and a negative attenuation response to the ambient humidity parameter.

[0010] In some embodiments, acquiring the optical scattering signal during the adiabatic expansion process includes: The light source is controlled to emit a detection beam into the adiabatic phase change detection chamber, and the optical scattering signal after being scattered by the adiabatic phase change detection chamber is acquired by a photoelectric receiver.

[0011] In some embodiments, determining whether a target aerosol exists in the adiabatic phase change detection chamber based on the optical scattering signal includes: Extract the peak light intensity of the optical scattering signal. If the peak light intensity exceeds a preset light intensity threshold, it is determined that a target aerosol exists.

[0012] In some embodiments, driving the negative pressure modulation mechanism according to the first control command to establish a negative pressure environment with a target vacuum level in the adiabatic phase change detection chamber includes: The negative pressure modulation mechanism is driven by a PID closed-loop control algorithm according to the first control command.

[0013] In some embodiments, acquiring the ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber includes: The ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber are filtered.

[0014] Secondly, a fire early warning device is provided, comprising: The acquisition unit is used to acquire the ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber. The generation unit is used to generate a first control command and a second control command respectively based on the ambient temperature parameter and the ambient humidity parameter through decoupled calculation; The driving unit is used to drive the negative pressure modulation mechanism according to the first control command to establish a negative pressure environment with a target vacuum degree in the adiabatic phase change detection chamber, and then drive the flow guide control mechanism according to the second control command to control the transient decompression rate of gas returning to the adiabatic phase change detection chamber to trigger the adiabatic expansion process in the adiabatic phase change detection chamber. The judgment unit is used to detect the optical scattering signal during the adiabatic expansion process, and to determine whether there is a target aerosol based on the optical scattering signal, and to issue a fire warning signal when the target aerosol is determined to be present.

[0015] Thirdly, a computer device is provided, comprising: a memory and a processor, wherein the memory stores at least one instruction, the at least one instruction being loaded and executed by the processor to implement the aforementioned early fire warning method.

[0016] Fourthly, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the aforementioned early fire warning method.

[0017] The beneficial effects of the technical solution provided by this invention include: This invention provides an early fire warning method. By acquiring ambient temperature and humidity parameters in real time, a first control command characterizing the target vacuum level and a second control command characterizing the transient decompression rate are decoupled and generated. The adiabatic expansion process is triggered by regulating the negative pressure modulation mechanism and the flow conduction control mechanism. Then, the presence of the target aerosol is determined based on the optical scattering signal. This invention significantly improves the accuracy of fire detection and environmental adaptability by using bivariate adaptive matching of the ambient thermodynamic state and accurately reconstructing a suitable supersaturated environment for heterogeneous nucleation. It effectively solves the technical problems of existing technologies that are prone to missed detection in high-temperature and extremely dry environments and false detection in high-humidity environments due to the use of fixed parameters. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0019] Figure 1 A schematic flowchart of an early fire warning method provided in an embodiment of the present invention; Figure 2 Implementation provided for the embodiments of the present invention Figure 1 A flowchart of step S200; Figure 3 This is a schematic diagram of the structure of an early fire warning device provided in an embodiment of the present invention; Figure 4 A topology diagram illustrating the operation of an early fire warning device provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] This invention provides a method for early fire warning, which can solve the technical problem that existing technologies using traditional adiabatic expansion detectors are prone to false alarms or missed alarms under extreme temperature and humidity conditions.

[0022] like Figure 1 As shown, this embodiment of the invention provides a method for early fire warning, including the following steps: Step S100: Obtain the ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber.

[0023] Specifically, in the steady flow section at the air inlet of the adiabatic phase change detection chamber, an integrated wide-range temperature and humidity probe (such as a capacitive humidity sensor and a thermistor temperature sensor) is deployed to obtain the ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber.

[0024] Furthermore, to prevent measurement noise caused by transient airflow fluctuations, acquiring the ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber includes filtering the acquired ambient temperature and humidity parameters. For example, a moving average filter or Kalman filter algorithm can be used to extract stable environmental state values, thus ensuring that the control logic is based on the real environmental background, rather than transient interference.

[0025] Step S200: Generate a first control command and a second control command based on the ambient temperature parameters and ambient humidity parameters.

[0026] Specifically, generating the first control command and the second control command based on the ambient temperature parameter and the ambient humidity parameter includes: Step S201: Using a preset nonlinear phase depth compensation operator, the pressure value of the target vacuum degree (i.e., negative pressure depth) required to characterize the adiabatic expansion process in the first control command is determined based on the ambient temperature and humidity parameters. Specifically, the ambient temperature and humidity parameters are substituted into the preset nonlinear phase depth compensation operator, which calculates and outputs the pressure value of the target vacuum degree required to maintain optimal heterogeneous nucleation based on the overlapping effects of temperature and humidity.

[0027] Step S202: Using a pre-trained multidimensional time-domain dynamic response surface, the time-domain pulse width value of the transient decompression rate (i.e., the speed of gas recirculation) required to characterize the adiabatic expansion process in the second control command is determined based on the ambient temperature and humidity parameters. Specifically, the ambient temperature and humidity parameters are substituted into the pre-trained offline multidimensional time-domain dynamic response surface (matrix mapping library), and the time-domain pulse width value of the transient decompression rate adapted to the current environment is interpolated, matched, and output according to the boundary region where the temperature and humidity are located.

[0028] Furthermore, using a preset nonlinear phase depth compensation operator, the pressure value representing the target vacuum degree required for the adiabatic expansion process in the first control command is determined based on the ambient temperature and humidity parameters, including: The pressure value of the target vacuum level shows a positive gain response to the ambient temperature parameter and a negative attenuation response to the ambient humidity parameter.

[0029] Positive gain response means that the higher the temperature, the stronger the air's ability to hold water vapor (the higher the saturated water vapor pressure). In order to achieve the same degree of supersaturation, a greater temperature drop is required, and therefore a deeper vacuum is needed.

[0030] The negative decay response refers to the fact that the higher the humidity, the closer the initial water vapor content is to saturation, and a small temperature drop can reach supersaturation. If the vacuum is too deep, it will lead to excessively high supersaturation, triggering spontaneous condensation without particles (homogeneous nucleation). Therefore, the higher the humidity, the lower the target vacuum should be.

[0031] Step S300: Drive the negative pressure modulation mechanism according to the first control command to establish a negative pressure environment with a target vacuum degree in the adiabatic phase change detection chamber. Then drive the flow guide control mechanism according to the second control command to control the transient decompression rate of gas returning to the adiabatic phase change detection chamber, so as to trigger the adiabatic expansion process in the adiabatic phase change detection chamber.

[0032] Specifically, the negative pressure modulation mechanism is typically a variable frequency vacuum pump. According to the first control command, air is precisely pumped from the adiabatic phase change detection chamber until the pressure feedback reaches the target vacuum level. Optionally, the negative pressure modulation mechanism is driven by a PID closed-loop control algorithm according to the first control command. The PID control algorithm has a simple structure, achieves effective control without relying on a precise mathematical model of the controlled object, and possesses strong robustness and universality. Through a clever combination of proportional, integral, and derivative terms, it can quickly respond to deviations, eliminate static errors, and suppress overshoot and oscillations in advance, significantly improving the dynamic and steady-state performance of the control.

[0033] The flow conduction control mechanism is typically an electromagnetic pressure relief valve. Once the negative pressure is established, the valve is opened according to the second control command. The duration of the single step conduction of the flow conduction control mechanism is controlled by a high-frequency timing trigger signal, which precisely adjusts the pressure relief gradient (i.e., transient pressure relief rate) during the moment when the gas undergoes adiabatic expansion.

[0034] By independently adjusting the negative pressure depth and pressure release rate, the temperature drop curve and the lowest temperature point can be precisely controlled, thereby keeping the supersaturation within the heterogeneous nucleation window and avoiding the homogeneous nucleation window, thus triggering the adiabatic expansion process in the adiabatic phase change detection chamber.

[0035] Step S400: Obtain the optical scattering signal during the adiabatic expansion process, determine whether there is a target aerosol in the adiabatic phase change detection chamber based on the optical scattering signal, and issue a fire warning signal when it is determined that there is a target aerosol.

[0036] Specifically, acquiring the optical scattering signal during the adiabatic expansion process includes: A light source (e.g., a coherent light source emitter) is controlled to emit a detection beam into the adiabatic phase change detection chamber; The optical scattering signal after scattering by the adiabatic phase change detection chamber is acquired by a photodetector (e.g., a multi-angle photodetector array).

[0037] The gas cloud in the adiabatic phase change detection chamber undergoes a precisely constrained thermodynamic abrupt change. If the gas cloud contains very early fire condensation nuclei (i.e., target aerosols), it will induce directional condensation into fog. The optical scattering signal after being scattered by the adiabatic phase change detection chamber will be acquired by a multi-angle photoelectric receiving array built into the adiabatic phase change detection chamber.

[0038] Further, determining whether a target aerosol exists in the adiabatic phase change detection chamber based on the optical scattering signal includes: The peak light intensity of the optical scattering signal is extracted. If the peak light intensity exceeds a preset light intensity threshold, the presence of a target aerosol is determined. A fire warning signal is then issued upon further confirmation of the presence of a target aerosol.

[0039] The fire early warning method in this embodiment of the invention acquires environmental temperature and humidity parameters in real time, and decouples them to generate a first control command characterizing the target vacuum degree and a second control command characterizing the transient decompression rate. By regulating the negative pressure modulation mechanism and the flow conduction control mechanism, the adiabatic expansion process is triggered, and the presence of the target aerosol is determined based on the optical scattering signal. This embodiment of the invention significantly improves the accuracy of fire detection and environmental adaptability by using bivariate adaptive matching of environmental thermodynamic state and accurately reconstructing a suitable supersaturated environment for heterogeneous nucleation. It effectively solves the technical problems of existing technologies that are prone to missed detection in high temperature and extremely dry environments and false detection in high humidity environments due to the use of fixed parameters.

[0040] To further clarify the mechanism of the early fire warning method in the embodiments of the present invention, the working process of the early fire warning method in the embodiments of the present invention is described in detail, combined with specific extreme scenarios: Example 1: Homogeneous nucleation inhibition mechanism near the critical state in high humidity environment (preventing false alarms) Obtain information from underground utility tunnels or warehouses during the rainy season that the current environment is in an extremely humid state (e.g., humidity RH>90%).

[0041] The system uses a pre-defined nonlinear phase depth compensation operator to determine that the current latent heat is extremely saturated, and outputs a first control command with a significantly decaying target vacuum pressure value. Using a pre-trained multidimensional time-domain dynamic response surface, a second control command is output with a longer transient decompression rate and a longer time-domain pulse width.

[0042] The first control command causes the negative pressure modulation mechanism to operate at a reduced frequency and power, establishing only a weak vacuum environment within the adiabatic phase change detection chamber. Additionally, the second control command sends a wide-pulse trigger signal (e.g., PWM) to the flow conduction control mechanism, causing it to maintain the electromagnetic pressure relief valve open for a relatively long time, resulting in an extremely smooth gas filling and depressurization process.

[0043] The adiabatic phase change detection chamber underwent a mild adiabatic expansion with a small amplitude and low slope. This extremely convergent thermodynamic work was buffered by the abundant free water vapor in the air, preventing the self-fusion of water molecules (homogeneous nucleation), suppressing the background scattering noise caused by spontaneous condensation, and avoiding false alarms.

[0044] Example 2: Forced breakdown mechanism of nucleation barrier under high temperature and extremely dry environment (preventing false negatives) In high-temperature environments such as new energy battery warehouses or data center hot and cold aisles (e.g., temperature T=40℃, humidity RH<15%), very early smoldering of cable insulation occurs, releasing nanoscale invisible aerosols.

[0045] Using a pre-defined nonlinear phase depth compensation operator, the system determines that the water vapor required for nucleation is severely lacking, and outputs a first control command with a target vacuum pressure value that approximates the system's extrema. Utilizing a pre-trained multidimensional time-domain dynamic response surface, a second control command is output with a time-domain pulse width value that has a shorter transient decompression rate.

[0046] The first control command causes the negative pressure modulation mechanism to operate at full load and high frequency, establishing an extremely high vacuum negative pressure environment within the adiabatic phase change detection chamber. Additionally, the second control command sends nanosecond to microsecond pulse trigger signals to the flow conduction control mechanism, resulting in extremely rapid gas filling.

[0047] The adiabatic phase change detection chamber instantly underwent a high-amplitude, high-step-slope adiabatic expansion. This transient process induced an extremely violent temperature drop gradient, forcibly pushing the extremely rarefied water vapor partial pressure to the supersaturation limit. The huge thermodynamic potential difference instantly broke through the heterogeneous nucleation barrier of the nano-smoldering particles, forcing water molecules to attach to the smoldering particles and rapidly aggregate into visible clouds. The multi-angle photoelectric receiving array instantly captured the peak transition, successfully achieving zero missed detection interception in the early stage of smoldering under extremely harsh dry and hot conditions.

[0048] like Figure 3 and Figure 4 As shown in the figure, this embodiment of the invention also provides a fire early warning device, including: an acquisition unit, a generation unit, a driving unit, and a judgment unit.

[0049] The acquisition unit is used to acquire the ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber.

[0050] The generation unit is used to generate a first control command and a second control command respectively based on the ambient temperature parameter and the ambient humidity parameter through decoupled calculation.

[0051] The driving unit is used to drive the negative pressure modulation mechanism according to the first control command to establish a negative pressure environment with a target vacuum degree in the adiabatic phase change detection chamber, and then drive the flow guide control mechanism according to the second control command to control the transient decompression rate of gas returning to the adiabatic phase change detection chamber, so as to trigger the adiabatic expansion process in the adiabatic phase change detection chamber.

[0052] The judgment unit is used to detect the optical scattering signal during the adiabatic expansion process, and to determine whether there is a target aerosol based on the optical scattering signal, and to issue a fire warning signal when the target aerosol is determined to be present.

[0053] This invention also provides a computer device, including: a memory, a processor, and a network interface connected via a system bus, wherein the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement all or part of the steps of the aforementioned early fire warning method.

[0054] The network interface is used for network communication, such as sending assigned tasks. Those skilled in the art will understand that... Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device to which the present invention is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0055] A processor can be a 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, or discrete hardware components. A general-purpose processor can be a microprocessor, or any conventional processor. The processor is the control center of a computer device, connecting all parts of the computer device through various interfaces and lines.

[0056] Memory can be used to store computer programs and / or modules. The processor implements various functions of the computer device by running or executing the computer programs and / or modules stored in the memory and by accessing data stored in the memory. Memory can mainly include a program storage area and a data storage area. The program storage area can store the operating system, application programs required for at least one function (such as video playback, image playback, etc.), etc.; the data storage area can store data created using the memory (such as video data, image data, etc.). Furthermore, memory can include high-speed random access memory (RAM), and can also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart media cards (SMC), secure digital cards (SD cards), flash cards, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

[0057] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements all or part of the steps of the aforementioned early fire warning method.

[0058] The embodiments of the present invention can implement all or part of the aforementioned processes, or they can be accomplished by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various methods described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added to or subtracted according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0059] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, servers, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0060] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0061] The serial numbers in the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0062] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will 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 program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0063] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A method for early fire warning, characterized in that, Includes the following steps: Acquire the ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber; Generate a first control command and a second control command based on the ambient temperature and humidity parameters; According to the first control command, the negative pressure modulation mechanism is driven to establish a negative pressure environment with a target vacuum degree in the adiabatic phase change detection chamber. Then, according to the second control command, the flow guide control mechanism is driven to control the transient decompression rate of gas returning to the adiabatic phase change detection chamber, so as to trigger the adiabatic expansion process in the adiabatic phase change detection chamber. The optical scattering signal during the adiabatic expansion process is acquired, and the presence of target aerosol in the adiabatic phase change detection chamber is determined based on the optical scattering signal. A fire warning signal is issued when the presence of target aerosol is determined.

2. The fire early warning method according to claim 1, characterized in that, The step of generating the first control command and the second control command based on the ambient temperature parameter and the ambient humidity parameter includes: Using a preset nonlinear phase depth compensation operator, the pressure value of the target vacuum degree required to characterize the adiabatic expansion process in the first control command is determined based on the ambient temperature parameter and ambient humidity parameter. Using a pre-trained multidimensional time-domain dynamic response surface, the time-domain pulse width value of the transient decompression rate required to characterize the adiabatic expansion process in the second control command is determined based on the ambient temperature and humidity parameters.

3. The fire early warning method according to claim 2, characterized in that, The step of using a preset nonlinear phase depth compensation operator to determine the pressure value representing the target vacuum degree required for the adiabatic expansion process in the first control command based on the ambient temperature and humidity parameters includes: The pressure value of the target vacuum level shows a positive gain response to the ambient temperature parameter and a negative attenuation response to the ambient humidity parameter.

4. The fire early warning method according to claim 1, characterized in that, The acquisition of the optical scattering signal during the adiabatic expansion process includes: The light source is controlled to emit a detection beam into the adiabatic phase change detection chamber, and the optical scattering signal after being scattered by the adiabatic phase change detection chamber is acquired by a photoelectric receiver.

5. The fire early warning method according to claim 1, characterized in that, The step of determining whether a target aerosol exists in the adiabatic phase change detection chamber based on the optical scattering signal includes: Extract the peak light intensity of the optical scattering signal. If the peak light intensity exceeds a preset light intensity threshold, it is determined that a target aerosol exists.

6. The fire early warning method according to claim 1, characterized in that, The step of driving the negative pressure modulation mechanism according to the first control command to establish a negative pressure environment with a target vacuum level in the adiabatic phase change detection chamber includes: The negative pressure modulation mechanism is driven by a PID closed-loop control algorithm according to the first control command.

7. The fire early warning method according to claim 1, characterized in that, The acquisition of ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber includes: The ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber are filtered.

8. A fire early warning device, characterized in that, include: The acquisition unit is used to acquire the ambient temperature and humidity parameters at the air inlet of the adiabatic phase change detection chamber. The generation unit is used to generate a first control command and a second control command respectively based on the ambient temperature parameter and the ambient humidity parameter through decoupled calculation; The driving unit is used to drive the negative pressure modulation mechanism according to the first control command to establish a negative pressure environment with a target vacuum degree in the adiabatic phase change detection chamber, and then drive the flow guide control mechanism according to the second control command to control the transient decompression rate of gas returning to the adiabatic phase change detection chamber to trigger the adiabatic expansion process in the adiabatic phase change detection chamber. The judgment unit is used to detect the optical scattering signal during the adiabatic expansion process, and to determine whether there is a target aerosol based on the optical scattering signal, and to issue a fire warning signal when the target aerosol is determined to be present.

9. A computer device, characterized in that, include: A memory and a processor, wherein the memory stores at least one instruction, which is loaded and executed by the processor to implement the fire early warning method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions that, when executed by a computer, cause the computer to perform the fire early warning method according to any one of claims 1 to 7.

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