677 results about "Fire control" patented technology

The invention relates to the technical field of fire control management, in particular to a fire rescue intelligent management method and system based on a multi-mode AI large model. The method comprises the following steps: acquiring real-time environment monitoring data of a fire scene; carrying out environmental parameter analysis on the fire scene real-time environmental monitoring data, and carrying out gas change trend prediction to generate a scene gas parameter change trend; acquiring a fire scene thermal imaging image; performing temperature distribution visual identification and continuous frame temperature change rate calculation according to the fire scene thermal imaging image so as to generate a fire source area temperature change rate; performing multi-time ignition trend prediction according to the temperature change rate of the fire source area and the on-site gas parameter change trend so as to generate a multi-time ignition trend prediction map; and identifying a to-be-rescued area point based on the fire scene thermal imaging image. According to the invention, real-time and accurate distribution of on-site fire rescue resources is realized, and the rescue management efficiency and safety are improved.

The invention discloses a BMS-based multifunctional integrated monitoring and fire control method and system, and the method comprises the steps: synchronously collecting the temperature, combustible gas concentration and dynamic environment monitoring data in a container through a BMU battery box management unit of a BMS, and generating a space-time correlated container environment state matrix; based on the environment state matrix, extracting temperature anomaly features, gas concentration gradient features and dynamic environment fluctuation features through a multi-modal feature fusion model, and constructing a multi-dimensional risk feature vector; inputting the multi-dimensional risk feature vector into a fire-fighting early warning optimization algorithm to generate a graded fire-fighting early warning signal; and according to the graded fire-fighting early warning signal, an active fire-fighting intervention strategy is triggered through a BMU unit of the BMS, a fire extinguishing device, a ventilation system and a power cut-off module are dynamically controlled, and a fire-fighting response path is synchronously optimized to be matched with the current risk grade. According to the embodiment of the invention, graded fire-fighting early warning can be realized, and the accuracy and timeliness of fire early warning are improved.

A system for delivering ordinance is disclosed. The system includes a flight capable drone having a lift capacity suitable for carrying a munition, a fire control module in communication with the munition, and a handheld device in remote communication with the fire control module. At least one encrypted firing code generated by the fire control module is received by the handheld device and the munition is armed in accordance with at least the location of the drone.

The invention discloses a tunnel fire non-equilibrium control-smoke exhaust automatic adjustment control system and method, and belongs to the field of frequency conversion fan technology and tunnel fire control-smoke exhaust ventilation. The system comprises a data acquisition module, a data transmission module, a data processing and control algorithm module, a fan driving module and an emergency disposal module. The system dynamically and automatically controls the operation state of the smoke exhaust fan according to real-time fire smoke in the tunnel, and the exhaust air rate is reasonably adjusted. The abnormal environment parameters of the tunnel ceiling are collected through the sensing equipment, so that the approximate position of a fire in the tunnel and the real-time dynamic state of fire smoke spreading are obtained. And parameters such as the smoke front spreading speed and the smoke exhaust efficiency of the fan at the smoke exhaust port are obtained by applying an algorithm program to automatically control the start, stop and operation frequency of the fan. The interlocking arrangement of the emergency disposal module ensures that the other combinations are started under the condition that the exhaust air rate of one set of smoke exhaust port-smoke exhaust fan combination of the system is insufficient, fire smoke spreading is effectively controlled, and it is generally ensured that smoke is efficiently exhausted while the fire smoke is controlled within a safe range by the system.

The invention relates to the technical field of fire control, in particular to an electrical fire control method and system based on multiple sensors, and the method comprises the steps: obtaining related data of electrical fire influence factors, and carrying out the preprocessing; extracting a current peak value by using an AMPD peak value detection algorithm according to the preprocessed current data, and constructing an arc fault strength index; combining the arc fault strength index and temperature data, analyzing the relationship between arc fault abnormal heat release and temperature change, constructing an electrical heat dissipation goodness, integrating the electrical heat dissipation goodness and the change rule of carbon monoxide and carbon dioxide concentration, constructing a fire risk index, and quantifying the risk degree of electrical fire occurrence; and correcting the SOS anomaly detection algorithm based on the fire risk index to obtain a corrected significant anomaly score, and preventing and controlling the electrical fire according to the significant anomaly score. According to the invention, the fire risk index is constructed in combination with various sensor data, and the electrical fire early warning accuracy and prevention and control efficiency are improved.

The invention relates to the technical field of fire control management, and discloses an intelligent fire control door management method and system based on the Internet of Things, and the method comprises the following steps: S1, collecting multi-environment data of a fire control door; s2, performing standardization processing to obtain multi-environment data in a unified format, and establishing a feature matrix; s3, determining the importance degree of each item of data in the feature matrix to obtain a comprehensive weight; s4, constructing a membership function, and outputting a fire risk level; s5, determining the fire stage of the current environment; s6, selecting a final risk response strategy through a fuzzy game method; and S7, controlling the action of a fire exit door according to the selected final risk response strategy. According to the method, the information entropy and the analytic hierarchy process algorithm are combined to determine the importance degree of the multi-environment data and calculate the comprehensive weight of the fire risk, so that the assessment is more objective and comprehensive, overlarge deviation of a single model is avoided, and the problems of bias and poor applicability of assessment are solved.

The invention relates to the technical field of industrial safety, in particular to an intelligent machine tool fire extinguishing system which comprises a fire detection module, a data processing module, a fire type recognition module, a fire extinguishing control module, a man-machine interaction module and a power failure guarantee module. Wherein the fire detection module is used for monitoring multi-dimensional data of a working environment of a machine tool in real time; the data processing module is used for identifying different types of fire features; the fire type identification module is used for identifying the specific type of the fire; the fire extinguishing control module automatically selects a corresponding fire extinguishing medium; the man-machine interaction module is used for sending an alarm signal to an operator when a fire disaster occurs; and the power-off guarantee module is used for automatically cutting off a machine tool power supply when a fire occurs. According to the invention, through the technologies of intelligent fire identification, accurate fire source positioning and timely power cut-off, the fire extinguishing efficiency is effectively improved, early fire control is ensured, and secondary disasters are prevented.

The invention provides a fire-fighting monitoring system for a ship. The fire-fighting monitoring system for the ship comprises a fire detection module and a fire-fighting monitoring module, wherein the fire detection module comprises fire monitoring and identifying cameras and sensor assemblies which are arranged at all corners of the ship; the fire monitoring module is used for constructing a fire recognition model based on the collected data of the ship and performing fire recognition warning; the fire hazard early warning module is used for constructing a fire hazard prediction model and performing prediction warning of fire hazard risks; the fire control module is used for realizing automatic fire extinguishing and comprises an automatic fire extinguishing control unit and a remote control unit; the intelligent decision-making module is used for providing escape guidance and comprises a fire source positioning unit and a route planning unit; the performance optimization module comprises fire source positioning optimization and escape route optimization. The system can comprehensively monitor the interior of the ship, accurately identify and predict the fire risk, can perform automatic fire extinguishing operation, position a fire source and plan an escape route at the first time when a fire occurs, guarantees the life and property safety of personnel, reduces the ship loss, and reduces the environmental pollution risk.

The invention discloses a tunnel-based unmanned aerial vehicle control method and system, and relates to the technical field of unmanned aerial vehicle control methods, an unmanned aerial vehicle flies in a tunnel along an inspection route, and a traffic state diagram of the tunnel is determined according to a plurality of road surface images collected by the unmanned aerial vehicle in the flight process and a current image of an early warning event; dynamic inspection of the tunnel by the unmanned aerial vehicle is realized, overall consideration of a plurality of pavement images and the current image of the early warning event is compatible, and the accuracy of the traffic state diagram of the tunnel is ensured. Therefore, the accident level of the tunnel is determined based on the congestion degree of the traffic state diagram of the tunnel and the early warning degree of the early warning event. The cooperative control of the unmanned aerial vehicle and the fire-fighting equipment is triggered according to the accident level of the tunnel so as to control the fire-fighting management and control of the early warning event and the dispersion of the vehicle, so that the cooperative control of the unmanned aerial vehicle and the fire-fighting equipment is realized, and the fire-fighting management and control of the early warning event and the dispersion of the vehicle are realized.

The invention discloses an engineering building detection method and system, and relates to the technical field of building fire detection and early warning. Through systematic area division and multi-dimensional sensor network monitoring, environment and equipment operation data of a key area can be collected in real time; and obtaining and evaluating a layout closeness index Ji, a cable overload coefficient Oi, an electrical load change index Li and a toxic gas leakage coefficient Ci of the ith monitoring area, thereby improving the early warning capability of the fire risk. Through combination of smoke diffusion analysis and fire risk index evaluation, the fire risk can be accurately judged, and a fire control instruction can be triggered in a targeted manner. Besides, based on a smoke diffusion index correction mechanism, the system can dynamically adjust the operation states of the spraying equipment and the ventilation facility, so that fire control precision and resource saving are realized, and the fire safety and emergency response efficiency of the building are effectively improved.

The invention discloses an outdoor low-voltage power distribution cabinet with a spontaneous combustion protection structure, and relates to the technical field of power distribution cabinets, the outdoor low-voltage power distribution cabinet comprises a cabinet body, the front side of the cabinet body is provided with a protection door, the side of the cabinet body is provided with a heat dissipation groove, the top side of the interior of the cabinet body is rotatably connected with a rotating barrel, and the interior of the rotating barrel is provided with a fire extinguishing airbag; and a rotating mechanism capable of discharging carbon dioxide gas in the fire extinguishing air bag in a large range is arranged in the cabinet body. According to the outdoor low-voltage power distribution cabinet with the spontaneous combustion protection structure, after a fire occurs, carbon dioxide gas stored in the fire extinguishing air bag is discharged, so that the fire in the cabinet body is controlled, when an adjusting plate moves under the threaded connection effect of a threaded rod, a toothed plate is synchronously driven to move, and the spontaneous combustion protection effect is improved. At the moment, the toothed plate can drive the rotating barrel to rotate through the toothed ring meshed with the toothed plate, and when the rotating barrel rotates, gas leaked from the fire extinguishing airbag can be diffused in a larger range, so that the fire control efficiency is improved.

The invention relates to the technical field of mine fire-fighting early warning, and particularly provides a mine intelligent fire-fighting control method based on the Internet of Things and artificial intelligence, which comprises the following steps: collecting multidimensional parameters related to mine fire-fighting in real time, synchronously obtaining mine fire-fighting historical data, extracting the multidimensional parameters collected in real time according to a preset time interval, and sending the extracted multidimensional parameters to a server; performing parameter fusion on the extracted multi-dimensional parameters and the obtained mine fire-fighting historical data to obtain a fire-fighting associated feature set containing time-space attributes; inputting the fire-fighting associated feature set into a pre-trained fire-fighting risk prediction decision model, and outputting a fire-fighting disposal strategy through the fire-fighting risk prediction decision model; and starting graded early warning based on the fire risk evolution trend and the fire-fighting disposal strategy, and executing fire-fighting control actions in a linkage manner. According to the method, mine fire-fighting full-dimension monitoring, accurate prediction and dynamic closed-loop control are realized, the fire-fighting intelligent level and the emergency disposal efficiency are improved, and a reliable guarantee is provided for mine safety production.

The invention relates to the technical field of intelligent cooking, and discloses an intelligent barbecue oven cooking control method and device based on multi-sensor combination, and the method comprises the steps: determining the target maturity of a current barbecue food material corresponding to an intelligent barbecue oven and the attribute parameter of the current barbecue food material; according to the attribute parameters, target barbecue parameters required by the current barbecue food materials about the target maturity are analyzed; the target barbecue parameter comprises a target barbecue temperature; monitoring barbecue data corresponding to the current barbecue food material to obtain a barbecue monitoring result; according to the target barbecue parameters and the barbecue monitoring result, the intelligent barbecue oven is controlled to execute fire control operation about the current barbecue food materials. It can be seen that the firepower of the barbecue oven can be intelligently controlled based on the food material maturity requirement, the control accuracy of the barbecue oven is improved, and therefore the baking accuracy of barbecue food materials is improved.

The invention discloses a fire-fighting monitoring method and system based on multi-sensor fusion, a medium and equipment. The method comprises the following steps: acquiring equipment fire-fighting data acquired by multiple sensors in real time; performing preprocessing and abnormal data processing on the equipment fire-fighting data to obtain target fire-fighting data; performing fire prediction on the target fire-fighting data based on a space-time fusion model to obtain a fire probability; performing fire-fighting early warning judgment on the target fire-fighting data based on a risk level triggering condition; and generating a fire-fighting control instruction according to the fire probability and the fire-fighting early warning judgment result, and feeding back the fire-fighting control instruction to the equipment end. Therefore, the problem of hidden fire source recognition delay of an existing system is solved, and millisecond-level fire early warning and graded response closed-loop treatment are achieved.

The invention discloses an energy storage preparatory cabin and an energy storage station adopting the energy storage preparatory cabin. The energy storage preparatory cabin comprises a prefabricated cabin body, and a monitoring cabinet, a fire-fighting main cabinet, a fire-fighting pipe network, a storage battery, a confluence cabinet and a converter are arranged in the prefabricated cabin body; the storage battery and the converter are arranged in the same cabin, and the battery, battery management, converter, fire fighting, temperature control and monitoring are integrated, so that when a power distribution network breaks down, the energy storage prefabricated cabin can be quickly moved to a power failure area in a vehicle-mounted mode, 0.4 kilovolt power supply is provided for the power failure area, and therefore the utilization efficiency of equipment is improved, and the service life of the power distribution network is prolonged. And the recovery capability of the system for resisting emergencies and faults is improved. According to the energy storage station adopting the energy storage preparation cabin, construction can be carried out without building reporting and construction drawing replying, the building reporting time is saved, equipment foundation construction and equipment production can be carried out synchronously, the field work amount is greatly reduced, and the construction efficiency is greatly improved; the energy storage station is compact in structure, cable consumption is saved, and cost is reduced.

The invention discloses a fire-fighting spatial-temporal trajectory data processing and off-line data warehouse construction method based on a stream batch fusion architecture, and relates to the field of digital fire fighting, and the core steps of the method are as follows: after multi-source data are collected by an edge gateway, high throughput distribution and storage are realized by Kafka; real-time optimization such as track cross repair and offset correction is completed through Flink streaming calculation; performing offline batch processing on the historical data by the Spark to generate an analysis result; generating an optimal rescue path through a distributed Dijkstra algorithm in combination with road topology, real-time traffic and fire fighting truck parameters; the method comprises the following steps: realizing mixed storage by adopting ElasticSearch secondary index and HBase total storage; based on hot and cold data hierarchical management, intelligent applications such as fire-fighting commanding and dispatching, battle comment and review and the like are supported. Practice verifies that the method can shorten the fire control time of the main urban area by 60%, significantly improves the fire emergency response capability, and is suitable for large-scale fire track data scenes.

The invention discloses a security risk intelligent response method and system. The response method comprises the following steps: acquiring video streams, equipment states and environment sensor data in real time through a multi-source interface; processing through a feature fusion engine to generate a threat matrix containing threat type judgment and confidence; matching an emergency plan library based on a dynamic weighting algorithm; an equipment control instruction queue is generated according to a matching result, conflict detection is executed, and multiple instructions of the same equipment are sequenced according to fire control, access control locking and video tracking; and finally, acquiring an equipment execution state in real time and feeding back the state to a plan library to form closed-loop control, thereby solving the problems of high false alarm rate and response lag in traditional security and protection. Historical and real-time data are fused through a dynamic decision model, the limitation of a static plan is broken through, and the disposal efficiency is improved; instruction conflicts are eliminated through a conflict resolution mechanism; and a self-healing system and model correction are combined to form double-closed-loop optimization.

The embodiment of the invention provides a method and a device for supervising and inspecting a fire control room, which are used for realizing intelligent extraction and priority ranking of inspection key points through an inspection rule network by innovatively constructing a standard entry analysis mechanism. Designing inspection path planning based on a state space matrix, and reasonably dividing an inspection process into an automatic detection part and a manual inspection part. Data are collected through a communication interface of the fire alarm host, function state evaluation is achieved in combination with a signal feature template, and hidden danger analysis and rectification suggestions are provided based on an expert rule base. According to the method, the defects of the traditional technology in the aspects of inspection standard processing, automatic detection, result analysis and the like are effectively overcome, and the standardization and intelligent level of fire control room supervision inspection are remarkably improved.

The present disclosure provides a kind of light storage energy fire fighting system and fire control method, it is related to photovoltaic energy storage technical field.The light storage energy fire fighting system includes multiple charging stations, a charging station is used to charge an electric car;Multiple fire spaces, multiple fire spaces are not interconnected, each fire space is correspondingly arranged below a charging station;A separation device is arranged between each charging station and fire space;Drive device is connected with the separation device, for driving the separation device to open or close to connect or isolate charging station and fire space;Fire device is arranged in fire space, for fire in fire space extinguishing;Monitoring module is used to obtain the real-time data in charging station;And, control module is respectively with monitoring module, fire device and drive device, control module according to the data collected by monitoring module, control fire device and drive device start or stop.

The invention discloses a fire extinguishing method for a low-boiling-point flammable liquid storage tank. Fire control and cooling: applying high-stability compressed air foam to quickly control the fire of the low-boiling-point flammable liquid aiming at the fire of the low-boiling-point flammable liquid storage tank, and covering the surface of the low-boiling-point flammable liquid to form a foam blanket, so that the liquid is gradually cooled until the boiling point of the low-boiling-point flammable liquid is lower than the boiling point of the low-boiling-point flammable liquid; only oil steam and residual flames on the surface of the foam blanket remain; fire extinguishing: quickly spraying and releasing a dry powder extinguishing agent aiming at low-boiling-point flammable liquid oil steam residual flames on the surface of the foam blanket, and completely extinguishing the oil steam residual flames on the surface of the foam blanket by utilizing the excellent chemical inhibition fire extinguishing performance of the dry powder extinguishing agent; and after the fire of the low-boiling-point flammable liquid storage tank is completely extinguished, high-stability compressed air foam is continuously applied, a foam blanket is formed on the surface of the low-boiling-point flammable liquid, the low-boiling-point flammable liquid is continuously cooled, and reburning is effectively prevented. The fire extinguishing method is very efficient for extinguishing a low-boiling-point flammable liquid fire source.

The invention discloses a sodium ion secondary battery with a multi-cavity packaging structure and a thermal runaway protection method thereof, the sodium ion secondary battery comprises a main cavity, a thermal runaway pressure relief channel arranged on one side of the main cavity and a composite protection layer arranged on the outer wall of the main cavity, and the thermal runaway pressure relief channel is filled with a phase change material and a fire extinguishing medium storage bag. The auxiliary cavities are respectively four peripheral sub-cavities and one central sub-cavity, and an independent sodium ion battery cell unit is packaged in each peripheral sub-cavity and each central sub-cavity. The internal temperature of each sub-cavity is monitored through a temperature sensor, an electric isolation module is triggered to cut off a circuit of the sub-cavity, meanwhile, perfluorohexanone gas in a fire extinguishing medium storage bag is released, and a basalt fiber woven layer is activated to be unfolded to form cooling fins. A four-stage thermal runaway protection system is constructed through multi-cavity physical isolation, thermal diffusion delaying of a double-layer thermal insulation layer, cooperative fire control of a phase change material and a fire extinguishing agent, dynamic heat dissipation of a composite protection layer and active response of intelligent sensing and shape memory alloy.

The invention provides a fire-fighting control method of an energy storage system and the energy storage system. The energy storage system is divided into multiple levels of fire-fighting control areas according to the levels of a battery system; fire feature information corresponding to each fire control area is obtained, and corresponding fire control instructions are sent to fire control devices in the multiple levels of fire control areas based on the fire feature information; the fire-fighting devices in the multi-level fire-fighting control areas are controlled to perform fire extinguishing according to the corresponding fire-fighting instructions, fire-fighting control protection can be performed on the multi-level fire-fighting control areas, the fire-fighting control accuracy of the energy storage system is ensured, and the fire-fighting safety of the energy storage system is improved.

The invention discloses a fire-fighting linkage control system and a fire-fighting equipment fault positioning method. The system comprises a fire detection network, a partition control unit, a master controller, a state information generation part and a control logic part. The master controller divides the fire-fighting equipment into a plurality of control nodes according to a layout diagram, and each control node corresponds to a physical node and records the position, the equipment function attribute and the connection and linkage relationship; after the fire detection network collects a signal, the partition control unit analyzes a fire control surface and feeds back data, and the master controller judges whether to start linkage of adjacent control sections according to the data; the partition control unit can judge equipment faults and report the equipment faults, the state information generation part generates an equipment state list associated with the control section, and the control logic part prevents wrong linkage or triggering of a standby protocol by checking the consistency of signals and the state list. According to the system and the method, fire linkage precision, fault positioning high efficiency and system operation high reliability are realized, and the system and the method are suitable for fire protection guarantee of various complex buildings.

The invention provides an intelligent fire-fighting command auxiliary decision-making system, which belongs to the field of fire rescue and comprises a data acquisition module, a data processing module, an intelligent decision-making module, a communication module, a positioning and navigation module and a storage module. According to the system, fire scene environment data and fireman state data are collected through various sensor devices, and then data cleaning and recognition are conducted through the data processing module. The intelligent decision-making module generates a fire extinguishing strategy and personnel scheduling suggestions and assists commanders in making decisions. The system also uses GPS or other positioning technologies to monitor the positions of firefighters and fire fighting trucks in real time, and generates a fire extinguishing path and a personnel evacuation path. The system further comprises a storage module used for storing historical data and decision-making processes. The design can better assist fire control commanders to make decisions, and the efficiency and effect of fire rescue are improved.

The invention discloses a fire-fighting emergency prevention and control digital intelligence system which comprises a fire-fighting centralized control module, an emergency rescue module and a logistics guarantee module. According to the invention, a digitized development engine, a communication network technology, an AI digitized system and a fire-fighting centralized control module are utilized to construct a regional live-action 3D model, centralized control is formed on related regional monitoring, rescue workers, vehicle materials, fire-fighting equipment, early warning information and the like, 3D visualization of the site and information is realized, and an AI algorithm is combined to analyze risks and early warn potential fire hazards in advance; the logistics support module realizes centralized management and overall deployment of fire-fighting material equipment, emergency drilling and emergency teams; the emergency rescue module solves the key problems of emergency escape and evacuation, temporary rescue team establishment and deployment, data support of fire-fighting and rescue materials and the like, and provides technical support for efficient rescue in an accident state. The system can effectively change the current situation of a fire-fighting early warning system, improves the stability and accuracy of the fire-fighting emergency early warning system, is an effective means for realizing enterprise fire-fighting emergency digital management, has important significance in improving emergency response speed and rescue efficiency, optimizing resource allocation and operation and maintenance management and scientific decision, and has wide application prospects. And the fire prevention and control is changed from passive to active.

The invention relates to the technical field of intelligent fire fighting, and discloses a pump set type refrigerant liquid automatic fire extinguishing system which comprises a layout module, a first three-way pipe and a second three-way pipe, the refrigerant box is communicated with pipelines where the first main pump set and the second main pump set are located through the first three-way pipe, and the pipelines of the first main pump set and the second main pump set are connected in parallel; the tail ends of the pipelines where the first main pump set and the second main pump set are located are combined through a second three-way pipe and connected with a pressure pipeline. The pressure pipeline is provided with a pressure sensor used for detecting the transportation pressure of liquid in the pipeline. The fire behavior detection module obtains pressure data of the pressure sensor and compares the pressure data with a preset pressure threshold value, and when the liquid conveying pressure of the pressure pipeline is lower than the pressure threshold value, a pressure adjusting signal is sent out; the fire-fighting control module is used for receiving a pressure regulating signal so as to switch the operation states of the first main pump set and the second main pump set; the problem that in the prior art, water is supplied through unified pumping pressure, and fire disasters of different scales cannot be flexibly coped with is solved.

The invention discloses a fire extinguishing control method, device and equipment and a medium, and relates to the technical field of fire safety control, and the method comprises the steps: obtaining sensing data and monitoring data of a plurality of physical devices for a fire scene; performing access registration processing on the physical equipment, and determining multimode fire characteristic data according to the sensing data and the monitoring data; performing standardized data cleaning processing on the multi-mode fire characteristic data to obtain standardized multi-mode data; according to the standardized multimode data, determining entities, attributes and relationships to construct a fire knowledge graph; analyzing and processing the standardized multimode data by adopting a preset processing algorithm to obtain fire key information, figure key information and moving target information; and performing fire control processing on the fire scene based on the fire key information, the character key information, the moving target information and the fire knowledge graph. According to the invention, fire behavior control can be automatically realized in a fire behavior scene, the method is suitable for a complex fire extinguishing scene, and the fire extinguishing control accuracy is greatly improved.

The invention provides a fire point fire control display method and system based on digital twinning, and relates to the technical field of digital twinning fire analysis, and the method comprises the steps: obtaining image data in a garage, inputting the preprocessed image data into a fire recognition model, and obtaining a fire recognition result; acquiring fire data, inputting the fire data into the situation development prediction model, and acquiring a fire behavior development prediction result; based on the fire behavior development prediction result, utilizing a support vector machine algorithm to identify a potential fire risk and a risk level in the scene, and generating a scene risk assessment result; based on a scene risk assessment result, constructing a fire-fighting relation graph, and analyzing a dynamic relation between entities through a graph attention network to generate a dynamic relation graph; simulating a scene and acquiring real-time data change by utilizing a data visualization technology based on the dynamic relation graph, and constructing a digital twinborn model to generate a visual interface; fire-fighting actions are deployed and controlled according to the visual interface, and accurate fire extinguishing in the garage is achieved.

A fire control computer power supply module health prediction method belongs to the fire control computer power supply module fault diagnosis technical field, and comprises the following steps: S01, collecting a fire control computer power supply module power supply signal as original data; s02, adopting a multi-scale geometric analysis algorithm (MGA) to separate different characteristics of signals from the collected original data; and step S03, optimizing key parameters of the GRU by adopting an improved subtraction average optimization algorithm MSABO, and constructing a health prediction model MSABO-GRU and the like. According to the invention, a multi-scale geometric analysis algorithm MGA is adopted to preprocess the collected power signal data, so that the prediction efficiency of the model is improved; an improved subtraction average optimization algorithm MSABO is adopted to predict key parameters of the GRU, and the accuracy of model prediction is improved.

The invention discloses a self-adaptive alarm triggering method and device based on environmental perception, and belongs to the field of forest fire control, and the method comprises the steps: collecting distributed perception data, and obtaining multi-source positioning data; establishing an environment sensing model, performing environment sensing on the distributed sensing data, and determining a fire-fighting danger basic index; performing fusion processing on the multi-source positioning data by using an adaptive Kalman filtering algorithm to obtain target positioning information; correcting the fire-fighting danger basic index to obtain a fire-fighting danger evaluation index; and when the fire hazard index exceeds the preset fire hazard index threshold value, alarm information is sent through a long-distance redundancy communication mechanism. According to the invention, the technical problem of difficult search and rescue communication when a positioning communication signal is unstable and is lost and trapped due to a complex terrain environment in a forest fire-fighting scene in the prior art is solved; the technical effects of realizing high-reliability environment perception, accurate personnel positioning and stable dual-channel redundant communication in a forest fire-fighting complex environment are achieved.