49 results about "Smoke signal" patented technology

The invention discloses a fire smoke image early recognition method based on multi-modal fusion. The method comprises the following steps: S1, collecting multi-modal data and carrying out time alignment; s2, constructing a visible light branch, an infrared branch and a photoacoustic branch, generating multi-modal features, and storing the multi-modal features in a shared feature pool; s3, embedding a space-time tracking module in the shared feature pool, and generating global feature representation; s4, generating a dynamic background template by adopting a low-rank matrix decomposition algorithm, and separating and removing background noise; s5, multi-modal features are fused in the shared feature pool through a lightweight self-attention mechanism, and missing features are compensated; s6, enhancing an early smoke signal through a sparse feature enhancement algorithm, and performing fire state classification and smoke diffusion path prediction by applying a multi-task classification network; and S7, updating the shared feature pool and the space-time tracking module through a dynamic feedback mechanism. According to the invention, early-stage accurate identification of fire smoke is realized by using multi-modal fusion, space-time tracking and dynamic feedback methods.

The invention relates to the technical field of intelligent kitchens, and particularly discloses an intelligent kitchen cooking detection system and method based on multi-source data, and the system employs an artificial intelligence technology based on deep learning to carry out the signal analysis of a smell signal and a smoke signal collected by an electronic nose and a smoke sensor in a kitchen. Time-frequency characteristics of the smell signal and the smoke signal are captured for representation, and then the kitchen oil smoke degree is represented based on interactive fusion characteristics between the smell signal and the smoke signal, so that intelligent control of the kitchen range hood is realized. Therefore, the air speed and the running state of the range hood can be automatically adjusted according to the lampblack degree generated in the cooking process, freshness of kitchen air is ensured, and potential threats of lampblack to health of family members are avoided.

The invention relates to the technical field of fire detection and alarm, and discloses an abnormal state detection method and system for a point-type anti-explosion smoke detector and a storage medium. According to the method, a plurality of anti-explosion smoke sensing addresses are obtained, and then polling signals are sent to the corresponding smoke sensing units in sequence to wait for response signals. If the response is not received, prompting that the line is abnormal; and if so, regularly acquiring the smoke sensing signal and the detection image data, and identifying the smoke data. When the smoke sensor gives an alarm but no smoke data exist, pollution abnormity is prompted; and if no smoke signal exists but smoke data exists, fault abnormity is prompted. According to the method, polling signals are combined with image analysis, line, pollution and fault anomaly detection is achieved, and the reliability and accuracy of the anti-explosion smoke detector in a complex environment are improved.

A safety warning system for electric vehicle charging areas includes an environment detection module. The environment parameters collected by the environment detection module include the environment temperature signal and smoke signal in the electric vehicle charging area. The environment detection module transmits the collected data to the control module. The environment detection module and the charging pile are connected to the control module. The control module processes the environment parameters. The control module compares the collected data signal with the threshold parameter in the control module. The control module controls the switch of the power supply of the charging pile according to the judgment result. The present invention arranges a number of smoke and temperature sensors and regional temperature measurement modules in the electric vehicle charging area. They monitor the temperature signal and smoke signal in the charging area in real time and transmit them to the control module. The control module monitors the charging current and power consumption of the charging pile in real time. The control module compares the collected data with the internal threshold. If it exceeds the safety threshold, the charging pile is controlled to be powered off to minimize the possibility of harm.

The invention discloses a multi-mode safety perception emergency linkage system, method, equipment and medium. The system comprises a multi-mode perception module, and a thermal imaging double-spectrum intelligent ball is used for temperature detection and smoke detection; the intelligent analysis module is in communication connection with the multi-mode sensing module, receives the detection data transmitted by the thermal imaging double-spectrum intelligent ball, analyzes the detection data to judge the type of a fire behavior, calculates an optimal flight path when the fire behavior is judged, and generates a fire extinguishing instruction containing the coordinate position of a fire source and the optimal flight path; the unmanned aerial vehicle linkage module is in communication connection with the intelligent analysis module; and the comprehensive control module is in communication connection with the intelligent analysis module. When temperature abnormity and smoke signals are captured at the same time, the two kinds of detection data are verified mutually, the false alarm problem of a traditional single detection mode is solved, and more importantly, the fire type can be accurately judged.

This invention relates to the field of cable monitoring technology, specifically disclosing a cable fire monitoring system and method based on distributed optical fiber sensing. The distributed optical fiber sensing unit is attached to the cable or its surroundings, simultaneously collecting temperature, vibration, and smoke signals and converting them into optical signals. After signal demodulation processing, an intelligent early warning and positioning unit, combined with algorithms, diagnoses the status and accurately locates the cable. A coordinated response unit automatically executes alarm, fire extinguishing, and power-off operations, while a remote monitoring unit enables multi-terminal visual control. This invention overcomes the limitations of single-parameter monitoring, offering high monitoring accuracy and fast response, effectively reducing false alarms and missed alarms. It is adaptable to various complex environments, possesses advantages such as high stability, low maintenance costs, and no need for on-site supervision, and can be widely applied to various cable fire monitoring scenarios to achieve early detection and early handling of potential hazards.

The invention discloses a shear box device for emitting visual smoke signals to early warn landslide disasters, particularly relates to the technical field of geological disaster monitoring and early warning, and solves the technical problem of insufficient early warning coverage rate of monitoring equipment in the prior art. The device is precisely deployed at a key monitoring point with soil stress high-sensitivity response in a potential landslide area, when geological disasters such as landslide occur, a stress field in a soil body is remarkably changed, upper and lower discs of a stratum slip interface are caused to generate relative shear motion, and then the upper and lower shear boxes are driven to generate displacement response, so that the soil body stress can be accurately detected. When the displacement reaches a preset threshold value, the load borne by the connecting mechanism breaks through the triggering critical value of the ignition device, then a rapid thermal activation mechanism is started, smoke signal powder in the smoke signal generation cabin is ignited, a high-visibility visual smoke signal is generated instantaneously, and visual early warning of the landslide danger can be achieved.

The present invention discloses a partitioned isolated flame-retardant energy storage box, which belongs to the technical field of battery energy storage system. A partitioned isolated flame-retardant energy storage box includes a box body and energy storage battery units, a master control module and a fire protection module which are detachably installed inside the box body, respectively. The master control module is electrically connected to the energy storage battery units and the fire protection module respectively; the energy storage battery units include an energy storage box shell, a cooling module, a plurality of partitions and a plurality of energy storage battery clusters, the energy storage battery clusters are arranged in an array inside the energy storage box shell, and adjacent energy storage battery clusters are partitioned, isolated and supported by partitions; the energy storage battery cluster includes a plurality of electrically connected energy storage batteries, and adjacent energy storage batteries are separated by cooling modules; smoke sensors are detachably installed on the top of the energy storage battery clusters, and are connected to the master control module signals, and are used to monitor the smoke signals of the burning energy storage battery clusters and send the signals to the master control module, so as to achieve the purpose of detecting the fire of the energy storage battery units.

The invention relates to the technical field of fire extinguishing systems, and discloses a fire extinguishing control circuit and a fire extinguishing system.The output end of a smoke detection module is connected with a battery management system, and when it is detected that the current smoke concentration is larger than the preset smoke concentration, a smoke signal is output to the battery management system; the output end of the temperature sensing detection module is connected with the battery management system, and outputs a temperature signal to the battery management system when detecting that the current temperature is greater than a preset temperature; the smoke sensing detection module and the temperature sensing detection module are connected to a power supply branch, for supplying power to the fire extinguishing device, of the fire extinguishing power supply end of the battery management system; when the battery management system receives the smoke signal or the temperature signal, the fire extinguishing power supply end is controlled to supply power; when the smoke detection module detects that the current smoke concentration is greater than the preset smoke concentration, the power supply branch is switched on; and when the temperature sensing detection module detects that the current temperature is greater than the preset temperature, the power supply branch is switched on. The problem that fire fighting equipment in the prior art has the risk of false triggering is solved.

The invention relates to the technical field of vehicle fire extinguishing, in particular to an automobile engine compartment fire extinguishing system which comprises a vehicle body, a dry powder fire extinguisher is installed in a luggage compartment of the vehicle body, a transition connector is installed at the driving end of the dry powder fire extinguisher, and a normally-closed electromagnetic valve is installed at the end, away from the dry powder fire extinguisher, of the transition connector. And a pipe joint is mounted at the output end of the normally closed electromagnetic valve. The first sensor and the second sensor which are of the same structure are installed on the two sides of the inner wall of the engine cabin, an all-dimensional fire monitoring network is constructed, all-weather real-time monitoring is conducted on the environment in the cabin, monitoring blind areas are effectively avoided, it is ensured that smoke signals generated at any position can be captured in time, and the safety of the engine is improved. The fire monitoring accuracy and reliability are greatly improved, precious time is won for follow-up fire extinguishing actions, spraying fire extinguishing can be conducted on a fire point at the initial stage of a fire, fire spreading is effectively avoided, and the safety of a vehicle is improved.

The utility model discloses a safe fireproof low-voltage switch cabinet which comprises a cabinet body, a cabinet door is hinged to the surface of the front side of the cabinet body through a hinge, a control panel is arranged on the surface of the cabinet door, a mounting plate is arranged in the cabinet body, a plurality of mounting frames are arranged on the surface of the mounting plate, and a group of threading frames are arranged on the surface of the mounting plate. Wire arranging clamping blocks are welded to the inner wall of the wire penetrating frame. According to the utility model, through the arrangement of the smoke sensor, when a certain position in the cabinet body is on fire, the smoke sensor senses smoke, at the moment, the smoke sensor converts a smoke signal into an electric signal and transmits the electric signal to the control panel, and the control panel controls the electromagnetic valve to be opened; carbon dioxide in the carbon dioxide storage tank enters the longitudinal gas conveying pipes and the transverse gas conveying pipes through the guide pipes and is sprayed out through the spray heads on the surfaces of the longitudinal gas conveying pipes and the transverse gas conveying pipes, the longitudinal gas conveying pipes and the transverse gas conveying pipes are located on the peripheries of the multiple installation frames, a large amount of carbon dioxide can be rapidly sprayed to the fire switch for fire extinguishing, and the fire extinguishing efficiency is high.

The utility model relates to the technical field of fire extinguishing and rescue models. A model for simulating fire spreading of a subway station comprises a station building, two sides of the station building are respectively provided with an entrance and exit I and an entrance and exit II, and the station building is provided with a tunnel, stairs, an elevator, a security check gate and a bidirectional platform. When the fire simulation device starts one simulation node to generate fire, the generated smoke spreads around the simulation node, and the nearby simulation nodes can be started after receiving a smoke signal, so that the simulation nodes in a spreading area can quickly form a fire spreading state according to the smoke trend after receiving the signal, and the fire can be simulated. According to the method, the fire disaster process can be restored more truly, firefighters can be helped to learn and drill, a better rescue route can be simulated according to an internal scene when a fire disaster occurs at one position, and fire disaster parameters can be adjusted under the condition of simulating the fire disaster, so that the learning effect is achieved.

The invention relates to the field of offshore wind power fire fighting, in particular to a method, a system and equipment for reducing false alarms of an offshore wind power fire fighting system and a storage medium. Comprising the following steps: acquiring a smoke signal of the wind turbine generator, and acquiring the temperature of the wind turbine generator when the smoke signal of the wind turbine generator is acquired; and obtaining the average temperature of the wind turbine generator set in each preset time, judging the average temperature in all the preset time, and when the average temperature in each latter preset time is not smaller than the average temperature in the former preset time and the smoke signal continuously increases to a preset threshold value in the preset time, sending out a fire signal. According to the method, the temperature change trend and the smoke change trend in the period of time are calculated, whether a fire occurs or not is judged according to the temperature change trend and the smoke change trend, the false alarm rate caused by abnormity of a single factor is remarkably reduced, and the accuracy and the reliability of fire early warning are improved.

The application discloses a kind of early identification methods of fire smoke image based on multi-modal fusion, comprising the following steps: S1, acquisition multi-modal data and carry out time alignment;S2, construct visible light branch, infrared branch and photoacoustic branch, generate multi-modal feature and store into shared feature pool;S3, embedding space-time tracking module in shared feature pool, generate global feature representation;S4, generate dynamic background template using low-rank matrix decomposition algorithm, separate and remove background noise;S5, by light self-attention mechanism in shared feature pool fusion multi-modal feature and compensate missing features;S6, by sparse feature enhancement algorithm enhances early smoke signal, and applies multi-task classification network to fire state classification and smoke diffusion path prediction;S7, by dynamic feedback mechanism updates shared feature pool and space-time tracking module.The application utilizes multi-modal fusion, space-time tracking and dynamic feedback method, realizes the early accurate identification of fire smoke.

This invention relates to the field of energy storage technology, specifically to a collaborative protection control system and method for fully silent liquid-cooled energy storage modules. The method establishes a thermal coupling topology diagram between energy storage modules, collects temperature, temperature rise rate, and smoke signals in real time, and uses sliding window filtering to determine a three-level safety status: pre-control, suppression, and emergency. It identifies modules that have reached the suppression level and determines the risk propagation domain based on thermal coupling weights. Electrical isolation and fire suppression are implemented on the affected modules, while neighboring modules are subjected to graded load reduction and enhanced thermal management according to thermal coupling weights. Under system resource constraints, fire protection resources for the affected modules are prioritized, and cooling resources are allocated to neighboring modules based on the product of thermal coupling weights and temperature indicators. This invention can accurately delineate risk propagation boundaries, achieve collaborative protection and optimized resource scheduling among multiple modules, effectively suppress the cascading spread of thermal runaway, and improve the safety and availability of energy storage systems.

The utility model discloses a super capacitor function test system and super capacitor function test equipment, and the system is provided with a PTU which is used for enabling a super capacitor to be in each test state; the test equipment is used for indicating each test state of the super capacitor; the circuit comprises a power indicating lamp H1; the pre-charging indicator lamp H3 is used for indicating that the super capacitor is in a pre-charging state; the main charging indicator lamp H4 is used for indicating that the super capacitor is in a charging state; the smoke sensor is used for sensing a smoke signal; and the smoke indicating lamp H7 is used for indicating that the super capacitor is in a smoke alarm state. The test system is provided with the PTU used for enabling the tested super capacitor to be in a tested state and the test equipment used for indicating each test state, and the PTU and the test equipment are combined to realize the test of the super capacitor.

The present invention belongs to the field of remote monitoring technology and discloses a remote control method and terminal for an automatic fire alarm system. The remote control method comprises the following steps: detecting main link signal parameters, generating a real-time status in combination with terminal data, extracting candidate link flow capacity ratios and base station processing capacity scores when signals exceed limits, scanning frequency band interference, weighted screening of subcarriers, migrating smoke signals, analyzing path loss and reflections, generating thermal coordinates in combination with a building structure database, and outputting monitoring results. The present invention regularly monitors signal strength, bit error rate, and transmission delay, introduces dynamic weighted optimization for link selection, improves link switching flexibility and efficiency, uses a signal allocation strategy to enhance responsiveness to environmental changes, and enhances monitoring flexibility and reliability, and uses path loss and multipath reflection number analysis to ensure effective signal screening, thereby improving the efficiency and accuracy of remote monitoring.

The utility model relates to the technical field of laboratory security, in particular to an intelligent security monitoring alarm device for a laboratory. Comprising a control box and an auxiliary assembly, a single-chip microcomputer is fixedly arranged in the control box, the single-chip microcomputer is electrically connected with a relay assembly, the auxiliary assembly comprises a smoke sensor, a water pump, a spraying head, a displayer, a temperature sensor and a buzzer, and when a fire occurs in the laboratory, the smoke sensor detects a smoke signal, and the single-chip microcomputer is connected with a water pump power source according to a set program; the water pump pumps external water and then conveys the external water to the spraying head to be sprayed out, fire extinguishment is achieved, meanwhile, the buzzer gives an alarm through sound, personnel can rapidly respond to conduct fire treatment, intelligent monitoring of the fire in the laboratory is achieved, rapid fire alarm is facilitated, and workers can be assisted to conduct fire extinguishment treatment.

The invention relates to the technical field of civil engineering safety monitoring, and particularly discloses a civil engineering site fire risk intelligent assessment system and method. The system comprises an image module, a smoke module and an AI module, the image module comprises a first camera and a second camera which are used for collecting image information of a construction site from different angles, and the smoke module comprises a plurality of smoke sensors which are used for sensing smoke signals in a specific area of the construction site. And the AI module comprises a position identification sub-module, a behavior identification sub-module and a smoke feature analysis sub-module, and is used for performing multi-dimensional fusion processing on the acquired images and smoke signals, and performing intelligent identification and risk assessment on the smoking behavior of the construction personnel based on a set risk scoring algorithm. According to the method, sensing signal triggering, image behavior analysis and multi-source information matching are combined, a set of three-dimensional and real-time smoking recognition and early warning mechanism is constructed, and the intelligent management level of construction site fire safety can be effectively improved.

The invention belongs to the technical field of aviation smoke detectors, and discloses a full-range smoke concentration detection system and method of a photoelectric smoke detector, which is based on a photoelectric smoke signal acquisition and conditioning technology, uses the full-range smoke concentration detection method, avoids the constraint of analog-to-digital conversion interface input voltage amplitude limit, and improves the smoke concentration detection accuracy. The smoke detector can detect the smoke concentration of (0-100)% / ft on the premise of ensuring the detection precision. The smoke detector adopting the scheme has the advantages of simple topological structure, controllable program, high flexibility, easy implementation of the method, high reliability and full-range concentration detection.

The application discloses a forest initial fire rapid identification method and system based on multi-sensor time sequence fusion. The method synchronously collects thermal infrared sensor data and visible light sensor data based on a unified time reference, calculates a time sequence difference value between the thermal infrared signal and the visible light smoke signal, and adaptively reversely adjusts the weight distribution of the two sensors in the fusion decision according to the numerical range of the time sequence difference value. When the time sequence difference value is greater than a first preset threshold, the fusion weight of the thermal infrared sensor is increased. When the time sequence difference value is less than a second preset threshold, the fusion weight of the visible light sensor is increased. The application ensures that the multi-sensor fusion decision is always more sensitive to the current stage in different combustion stages, so that effective sensing in the whole combustion stage is realized.

The application discloses a Pb5S2I6 nanowire self-assembled film, a preparation method of the Pb5S2I6 nanowire self-assembled film and application of the Pb5S2I6 nanowire self-assembled film in a two-factor fire alarm. The Pb5S2I6 nanowire self-assembled film is formed by self-assembly of Pb5S2I6 nanowires with an average diameter of 70-150 nm, and has photoelectric performance. The self-assembled film can be made into a photoelectric gas sensitive sensor device, and further judgment of a smoke signal in a fire is realized on the basis of gas sensing in the fire through photoelectric response characteristics of the device. That is, a fire warning can be caused by a double factor of gas and smoke, and the accuracy of the alarm is greatly improved.

The present application provides a smoke exhaust control method, device and system for a central range hood. The method is applied to the main control system of the central range hood, and the main control system is respectively connected to an automatic smoke sensing device, a plurality of terminal range hoods and a main engine fan. After at least one terminal range hood is started, a first smoke signal sent by the automatic smoke sensing device is received; the first smoke signal is obtained by the automatic smoke sensing device through real-time detection of the smoke in the common flue; a target smoke exhaust control signal is generated according to the first smoke signal and a preset reference signal; and the operation of the main engine fan is controlled according to the target smoke exhaust control signal. The present application can control the smoke exhaust operation of the main engine fan in real time according to the smoke signal collected by the automatic smoke sensing device. Even when the main control system cannot communicate normally with the terminal range hoods, the smoke can be discharged in time, avoiding the phenomenon that the cooking fumes are blocked in the flue and pour back into the homes of users on each floor.

The invention relates to the technical field of automobile passive safety, and provides an active pre-tightening safety belt control system with an automatic unlocking function after collision, and a control unit is arranged to control a motor of a pre-tightening unit to move in a retractor to roll a safety belt, so that the pre-tightening of the safety belt is realized. The control unit further controls an electromagnet of the electric control unlocking unit to generate electromagnetic force to unlock the electromagnetic lock catch, and electric control unlocking is achieved. The control unit communicates with a system of the vehicle and controls unlocking according to the state of the vehicle. The control unit further receives a smoke signal of the vehicle to sense occurrence of a fire so as to control unlocking of the safety belt. And a thermal fusing unlocking unit is arranged, and when a fire breaks out due to collision, low-melting-point alloy in the safety belt spring bolt is fused at high temperature, so that the safety belt is unlocked. The control unit is further connected with a B column deformation sensor and a seat pressure sensor, a safety belt is unlocked according to signals from the two sensors, and personnel safety is guaranteed.

The present invention relates to the technical field of electric power inspection robots, and specifically to an intelligent inspection robot for electric power equipment, comprising a robot body, a walking mechanism, a monitoring mechanism, a detection mechanism, an electrical measurement mechanism and a marking mechanism installed on the robot body; a controller is installed on the robot body, a mounting frame is rotatably connected between two side frames, and a fan is installed at the end of the mounting frame; a detection mechanism is provided on the robot body, and when the robot inspects oil field equipment, the monitoring mechanism cooperates with the walking mechanism to realize overall movement, and the fan is started during movement, and the angle of the mounting frame can be adjusted by a worm gear to realize the fan being close to the electrical equipment being inspected. After the fan is working, the flow speed of air near the electrical equipment can be increased, and the air can be quickly sucked between the two side frames, so that the smoke sensor can quickly receive the smoke signal, detect the smoke in time and accurately, and avoid serious damage to the electrical equipment.

The present application relates to the technical field of fire detection and alarm, and discloses a method, system, and storage medium for detecting abnormal conditions of point-type explosion-proof smoke sensors. The method first obtains multiple explosion-proof smoke sensor addresses, then sends polling signals to the corresponding smoke sensor units in sequence, and waits for a response signal. If no response is received, it indicates a line abnormality; if a response is received, the smoke sensor signal and detection image data are obtained at regular intervals to identify the smoke data. When the smoke sensor alarms but there is no smoke data, it indicates a pollution abnormality; when there is no smoke signal but there is smoke data, it indicates a fault abnormality. The method combines polluting signals with image analysis to achieve line, pollution, and fault abnormality detection, thereby improving the reliability and accuracy of explosion-proof smoke sensors in complex environments.

The embodiment of the invention provides a universal installation matching frame for a self-lighting lamp and a spontaneous smoke signal of a ship life buoy and a ship. The universal installation matching frame comprises a rectangular plate-shaped main body 2, at least two different mounting hole position modes are integrated on the plate-shaped main body 2, and each mounting hole position mode is matched with a mounting interface of a self-lighting lamp and smoke signal device 1 of a specific manufacturer; and the plate-shaped main body 2 is geometrically symmetrical about a central axis P, so that the matching frame can be compatibly mounted with a port or starboard structure of a ship after being overturned by 180 degrees around the central axis P. According to the technical scheme, the defects in the prior art can be overcome, and design, manufacturing and installation errors are effectively avoided.

The utility model discloses an intelligent fire alarm, relates to the technical field of fire alarm, and solves the problems of system false alarm, low intelligent degree, low networking degree and insufficient circuit safety and use performance of the existing small smoke fire detection alarm system. The system comprises a single-chip microcomputer, a temperature acquisition module, a smoke acquisition module and an alarm module, the single-chip microcomputer, the temperature acquisition module, the smoke acquisition module and the alarm module are all connected with the single-chip microcomputer, the temperature acquisition module is used for acquiring temperature signals, the smoke acquisition module is used for acquiring smoke signals, and the alarm module is used for alarming. According to the utility model, the temperature acquisition module and the smoke acquisition module are used for monitoring and displaying the temperature value and the smoke gas concentration in real time, and fire hazard pre-judgment and alarm are carried out based on the temperature value and the smoke gas concentration; according to the utility model, specific circuits of the fire alarm are set in details, so that the circuit performance is better.

The utility model discloses a movable energy storage system fire-fighting device which comprises a box body, a fire extinguishing agent storage bottle is fixed in the box body, an outlet of the fire extinguishing agent storage bottle is communicated with a fire extinguishing agent pipeline through an electromagnetic valve, the fire extinguishing agent pipeline extends towards the upper portion of the box body, a nozzle is arranged at the top end of the fire extinguishing agent pipeline, and the nozzle is communicated with the box body. The box body comprises a door, a controller is fixed on the door, the electromagnetic valve is electrically connected to the controller, the controller is electrically connected with a sensor used for sensing temperature and / or smoke, when the controller judges that a temperature and / or smoke signal sensed by the sensor reaches a set threshold value, the electromagnetic valve is controlled to be opened, and the door is opened. And the fire extinguishing agent storage bottle sprays a fire extinguishing agent through the fire extinguishing agent pipeline and the nozzle. According to the utility model, potential safety hazards during operation and maintenance of the energy storage system can be reduced, and the transportation safety of the mobile energy storage system can be improved.

The present invention discloses a fire monitoring method and device, wherein the fire monitoring method obtains the actual smoke signal strength monitored by multiple smoke detectors, compares the measured signal value with the calculated smoke signal strength calculated by using an estimation formula, takes the measured signal value reaching or exceeding the calculated smoke signal strength as the real fire condition, and searches for nodes that meet the fire condition in real time. This method uses the central maximum measured signal value being greater than a certain threshold and the existence of multiple nodes meeting the real fire condition as the judgment basis for fire alarm, which can significantly improve the alarm accuracy of smoke detectors, reduce false alarms, and shorten the alarm time.