235 results about "Fire behavior" patented technology

The invention provides a tunnel fire behavior inversion method based on multi-modal fusion and physical constraint, and aims to solve the problem that the position and power of a fire source are difficult to invert accurately in real time in traditional fire behavior monitoring. According to the method, data, temperature distribution images and physical parameters of distributed temperature sensors in a tunnel are collected, and a spatial-temporal feature fusion network is constructed; designing an information leakage prevention training mechanism, and adopting a modal random discarding and sensor shielding technology to avoid overfitting of the model to a specific input mode; a physical constraint loss function is introduced, and the temperature gradient, the maximum temperature rise and the longitudinal attenuation law are combined to ensure the physical rationality of an inversion result; a coarse-fine two-stage position prediction framework is adopted, and meter-scale precision positioning of the position of a fire source is achieved. According to the invention, the power and position of the fire source can be inversed accurately in real time, and reliable technical support is provided for intelligent monitoring and emergency rescue of tunnel fire.

The invention relates to the technical field of fire safety, and discloses a partition controller linkage method, device and equipment and a storage medium. The method comprises the following steps: acquiring original fire sensing data acquired by a plurality of fire-fighting sensors in each independent partition, and performing preprocessing of a plurality of sensing types; extracting space-time dimension features from the preprocessed data, generating fire behavior space-time feature vectors, and performing multi-source evidence weight fusion; performing fire abnormal mode identification and evaluation on the fused fire spatio-temporal feature vector to obtain a partition preliminary fire evaluation result, transmitting the partition preliminary fire evaluation result to a main controller, and performing global fire situation fusion based on a building physical structure and a partition connection relationship to obtain an overall fire situation evaluation result; and generating a multi-partition cooperative fire extinguishing execution scheme based on the overall fire situation assessment result, and controlling fire fighting equipment in each partition to perform linkage fire fighting. According to the invention, multi-source data fusion and cross-partition collaborative linkage of building fire are realized, and the fire detection accuracy and the fire-fighting response efficiency are improved.

The invention discloses a fire alarm linkage system for fire engineering based on the Internet of Things. The operation process of the system specifically comprises the following steps: generating a dynamic risk probability distribution diagram based on a building three-dimensional point cloud model and multi-source data, and deploying a differential sensor array; environment multi-physical field parameters are collected in real time through a differential sensor array, and a multi-mode fire behavior sensing signal set is generated; building a fire situation credibility map: calling a multi-criterion decision module to calculate a linkage equipment weight distribution matrix based on the fire situation credibility map, and generating a multi-stage linkage control instruction set in combination with the building topological structure model and the personnel distribution thermodynamic diagram; and performing multi-cross-system cooperative execution and closed-loop optimization. The method has the following advantages and effects that the inherent limitation of a traditional system can be broken through by constructing an intelligent prevention and control framework combining risk quantification, situation deduction and decision closed loop, the personnel evacuation efficiency is effectively improved, and damage caused by major accidents such as detonation is reduced.

The invention discloses a virtual reality fire drill and training method and system, and the method comprises the steps: building a three-dimensional fire scene based on a BIM model and fluid dynamics, resolving the fire spreading rate and the smoke concentration in real time, and generating a dynamic disaster evolution model in combination with explosive parameters; collecting the heart rate variability and the action track of the user through the wearable device, and calculating a physiological stress index and a device operation deviation degree; smoke suppression, explosion delay and fire behavior correction instructions are triggered based on fire behavior and physiological data association; a cooperative avoidance strategy is generated in combination with the path overlap ratio and the fire-fighting role and is fed back to the fire behavior correction module; aligning the spatio-temporal data to evaluate the contribution degree and the cooperative influence weight of the fire extinguishing operation on fire behavior inhibition, and outputting a multi-dimensional evaluation matrix; generating a three-dimensional defect thermodynamic diagram by using a space-time convolutional network, marking a high-risk area and feeding back the high-risk area to a disaster model, and realizing adaptive difficulty iteration; according to the invention, through multi-source data fusion and dynamic regulation and control, the drill authenticity and the emergency disposal efficiency are improved.

The invention discloses a concrete filled steel tube structure fire early warning method and device based on multi-agent cooperative detection, and belongs to the technical field of concrete filled steel tube structure fire early warning. The invention discloses a concrete filled steel tube structure fire early warning method and device based on multi-agent cooperative detection. The method comprises the following steps that S1, a fire early warning threshold value is set; s2, collecting real-time physical state data of the concrete-filled steel tube structure; s3, performing cross validation on the fire signal; s4, comparing the composite fire behavior index with a set fire early warning threshold value; and S5, sending out corresponding fire early warning information. According to the invention, the problem that a fire detection system for detecting a single parameter in the prior art cannot accurately distinguish a real fire source from environmental interference so as to cause false alarm is solved, compared with single-point monitoring, early fire characteristics such as local temperature abnormity and a smoke diffusion path can be accurately captured, the false alarm rate is obviously reduced, and the system is suitable for popularization and application. And the accuracy of fire early warning is ensured.

The invention relates to the technical field of urban fire safety rescue, in particular to a low-altitude fire fighting system and method based on urban CIM and Beidou positioning. According to the system and the method, full space-time accurate positioning is realized through the Beidou differential base station and the UWB indoor positioning equipment; integrating the urban information model system and unmanned aerial vehicle cluster data, and constructing a multi-source heterogeneous data set; a coordinate system is unified based on a space-time reference calibration module, and fire behavior prediction, path planning and resource scheduling are realized through AI computing nodes; the unmanned aerial vehicle task distribution module is used for realizing multi-vehicle cooperative rescue; and iteratively optimizing system parameters through a closed-loop adaptive optimization module. The method is suitable for fire emergency rescue in an urban complex building environment, and the rescue response speed, the decision-making precision and the cooperative combat capability are remarkably improved.

The invention relates to the technical field of image recognition, in particular to a fire behavior recognition method and system based on video monitoring. The technical problem that the early warning reliability of a video monitoring system on fire smoke is insufficient is solved. The method comprises the following steps: acquiring a monitoring video stream of a monitoring area and time sequence data acquired by a sensor in the monitoring area; determining an evaluation value of the to-be-detected area based on the image feature and the morphological change of the to-be-detected area; determining a confidence factor based on the form change trend of the to-be-detected region and the change trend of the time series data; determining a smoke authenticity value based on the evaluation value and the confidence factor; and adjusting an alarm threshold value of the smoke alarm based on the smoke authenticity value. The method is used for fire smoke early warning and monitoring scenes.

When the intelligent fire-fighting unmanned aerial vehicle cluster system works, the method comprises the following steps that 1, an intelligent fire-fighting unmanned aerial vehicle cluster detects a fire scene and searches a water source near the fire scene, and an optimal route is searched between the water source and the fire scene to lay a pressurizing water pump and a fire hose; 2, the intelligent fire-fighting unmanned aerial vehicle cluster controls a fire-fighting nozzle to conduct fire extinguishing operation, and the positions of a pressurizing water pump and a fire hose are adjusted according to fire behavior changes of a fire scene; and 3, the intelligent fire-fighting unmanned aerial vehicle cluster performs handover control on a fire-fighting nozzle, a pressurizing water pump and a fire-fighting hose in turn, and fuel oil is supplemented to the pressurizing water pump until fire extinguishing operation is finished. A fire-fighting water supply channel can be laid between a water source and a fire scene at an ultra-fast speed, the fire extinguishing operation speed is high, manual intervention is not needed, and nearly infinite fire-fighting water can be continuously provided.

The invention discloses a subway tunnel fire behavior spreading prediction method, which comprises the steps of 1, fire source type digital modeling, 2, fire scene initialization, 3, dynamic fire source loading and ignition triggering, 4, fire behavior spreading multi-physics field coupling calculation, 5, ventilation system dynamic response, 6, visual risk thermodynamic diagram generation, and 7, fire behavior spreading prediction. Step 7, carrying out real-time early warning on the safety margin; the method has the beneficial effects that a total factor modeling capability is realized, multi-dimensional parameter input from fire source characteristics to a tunnel environment is supported, a scene range covering a typical subway fire disaster is expanded, solving is realized through a multi-physics field simultaneous equation, a fire spreading error is reduced, smoke diffusion simulation precision is improved, and a dynamic ventilation adjustment and safety early warning mechanism is realized. And more buffer time is provided for emergency response.

The invention discloses an automatic patrol intelligent fire extinguishing method and control system based on data analysis, and relates to the technical field of intelligent fire extinguishing control, and the method comprises the steps: obtaining multi-dimensional data through a multi-dimensional data integration platform, and carrying out the preprocessing; calculating a multi-dimensional risk assessment index based on the preprocessed data, performing nonlinear standardization, constructing a multi-dimensional risk assessment feature vector, and performing clustering analysis on all the to-be-patrolled areas based on the multi-dimensional risk assessment feature vector according to a distance metric function; according to the clustering analysis result, comprehensive risk score calculation is carried out on all the to-be-patrolled areas, a priority to-be-patrolled list is generated, automatic patrolling is carried out on the to-be-patrolled areas, and when a fire behavior is detected, fire extinguishing equipment in the areas is started to extinguish fire. Key elements of fire occurrence and spreading are comprehensively described through multi-dimensional risk assessment, and risk scoring and grading are performed on all to-be-patrolled areas after clustering analysis, so that dynamic priority patrolling of high-risk areas is realized, and the patrolling efficiency is effectively improved.

The invention relates to the technical field of computer vision, and discloses a flame recognition and fire extinguishing system for indoor fire fighting, comprising: a binocular infrared imaging module for acquiring a thermal imaging image; the monocular visible light imaging module is used for acquiring a visible light image; the infrared stereoscopic vision module is used for carrying out processing and feature extraction on the thermal imaging images, carrying out feature aggregation to obtain an aggregated feature map, carrying out parallax optimization on the aggregated feature map, and carrying out calculation according to a parallax optimization result to obtain depth information of the thermal imaging images at different visual angles; the multi-mode stereoscopic vision fusion module is used for fusing the thermal imaging image with the depth information and the visible light image; the flame identification and fire behavior prediction module is used for performing flame detection according to the fused image, predicting a bounding box, confidence and a category label of the flame in the fused image, and predicting a future diffusion position of the flame, a diffusion scale of the flame and a diffusion trend of the flame; and the self-adaptive water gun spraying control module controls the water gun to execute spraying operation.

The invention discloses a dynamic fire extinguishing strategy generation method and system based on fire behavior development stage grading, belongs to the technical field of artificial intelligence, and aims to solve the problems of rapid fire behavior spreading and toxic and harmful flue gas retention in a fire disaster in a closed space of a multi-layer underground parking lot. The target tracking device firstly uses image identification to position a fire point, then uses the fire source detection device to collect a fire type and a fire behavior degree, and generates triple data; the data are input into a fire behavior stage grading model, and the fire behavior is divided into an incubation period, an accelerated spread period and a deflagration period according to a combustion entropy threshold value. According to the current stage, the corresponding fire extinguishing strategy is loaded from the blocking priority rule base, and in the detonation period, the aerogel flame retardant is only allowed to be put into the top ventilation opening in the fire diffusion direction. And then the fire scene control instruction drives the fire behavior blocking robot to release the flame retardant on time at a fixed point, and environment parameters after release are collected and fed back to the model. And if the combustion entropy value crosses the stage threshold value, the model triggers the blocking strategy to be dynamically switched.

The invention relates to the technical field of fire prevention and control, and discloses an unmanned aerial vehicle cooperative control fire extinguishing operation method and system, and the method comprises the steps: determining the target geographic position parameter of a fire source region according to the observation parameters corresponding to a tower monitoring device and / or an investigation unmanned aerial vehicle when a fire behavior is monitored in a target region; fire extinguishing operation parameters for the fire source area are determined according to the target geographic position parameters and the fire scene image data of the fire source area; the fire extinguishing unmanned aerial vehicle is controlled to fly to the fire source area so as to perform networking operation with the investigation unmanned aerial vehicle, and after networking is completed, the fire extinguishing unmanned aerial vehicle is controlled to perform fire extinguishing operation on the fire source area through the investigation unmanned aerial vehicle and according to the fire extinguishing flight control parameters and bomb dropping parameters of the fire extinguishing unmanned aerial vehicle, so that manual control in the fire extinguishing operation process is reduced, and the fire extinguishing efficiency is improved. And an effective cooperative combat system between the unmanned aerial vehicles is formed, and the overall fire extinguishing operation efficiency is improved.

The invention relates to the technical field of fire-fighting management, and discloses an intelligent fire-fighting management method and system based on a multi-modal large model, and the method comprises the steps: 1, collecting multi-modal perception data in a field environment, and transmitting the multi-modal perception data as input data to a multi-modal semantic recognition module; and 2, performing modal analysis and semantic fusion on the input data by using the multi-modal semantic recognition module, and generating a unified semantic description containing fire state elements. According to the invention, a multi-modal perception data semantic fusion mechanism and a multi-modal large model-driven fire behavior recognition framework are adopted, and data of different modals from a camera, a temperature and humidity sensor, a smoke detector and combustible gas monitoring equipment are input into a unified semantic recognition module, so that unified fire behavior state semantic description is constructed; and the technical effects of multi-source data complementation and semantic-level collaborative recognition of the fire state are achieved.

The invention discloses a building fire safety management and control method based on a digital twinborn technology, and the method comprises the steps: constructing sensor-middle platform-model bidirectional mapping, and reconstructing a dynamic scene through employing a neural radiation field technology; fusing the cross-domain desensitization data based on federal transfer learning, and constructing a building total-factor dynamic digital mirror image; through a spectrum analysis algorithm, a fire source is positioned in real time, and a flame spreading track is predicted; performing fire simulation in linkage with a total-factor dynamic digital mirror image, and optimizing a fire-fighting resource scheduling path through a multi-target particle swarm optimization algorithm; a multi-target rescue scheme is generated, an asynchronous block chain is used for evidence storage of a fire-fighting decision instruction, a rescue key area is plotted, and an optimal evacuation route is planned; and converging federal node data to quantify the data contribution degree, reproducing a historical fire behavior and deducing a new scene to carry out iterative optimization. According to the method, the problems of data sensing fragmentation, difficulty in cross-domain fusion, fire prediction lag, underscientific resource scheduling, slow drill scheme iteration and the like in traditional management and control are solved.

The invention relates to the technical field of alarm devices, and discloses a building monitoring management system based on the Internet of Things, which is characterized in that when an alarm sensor generates an early warning signal, a side evidence confirmation module captures power grid harmonic data and compares the power grid harmonic data with a benign equipment feature library, and whether to trigger an alarm or not is determined according to a matching result; according to the invention, through a time sequence mutual identification mechanism of power grid harmonic waves and alarm signals, real fire behavior and equipment operation interference are fundamentally distinguished, and the alarm accuracy is significantly improved; meanwhile, passive positioning is achieved through the multi-branch harmonic intensity difference, the error suppression risk in a large building is eliminated, the equipment health state is monitored through the harmonic entropy change trend, and a complete safety closed loop from early warning to prevention is formed.

This application relates to the technical field of utility tunnels, and provides an intelligent identification and prevention and control linkage system for cable fires in utility tunnels. In this system, a cable fire simulation device is used to simulate cable fires in the utility tunnel; an image acquisition unit is used to monitor the cable fire behavior in the tunnel in real time, and the collected simulated fire image information is transmitted to the deployed fire identification model in real time for fire identification, so as to judge the fire identification results of the fire identification model through the deployed fire warning model, and issue a fire extinguishing command or a warning command according to the judgment results; furthermore, after receiving the fire extinguishing command, the fire extinguishing linkage device responds, and the self-made fireproof rolling shutter with flexible steel brushes is first activated to block the fire point area; subsequently, the telescopic end of the electric push rod installed on the top of the tunnel quickly extends to break the heat-sensitive glass ball of the suspended fire extinguisher, realizing the rapid linkage prevention and control of cable fires in the tunnel.

The invention is suitable for the technical field of computers, and provides a multi-modal fire rescue detection method and system, and the method comprises the steps: obtaining the related information collected by a rescue area, carrying out the multi-modal feature extraction, and selecting the multi-modal feature fusion; performing deconvolution and up-sampling operation on the prior information, and outputting a target position search prompt; multiplying the fire behavior temperature distribution characteristic Fuc by a calibrated temperature range to obtain an actual temperature at the next moment so as to assist rescue; according to the method, voice features, infrared features and visual features are combined, and sufficient feature fusion is performed, so that the accuracy and recall rate of detecting and recognizing the position information of the trapped person are improved; and meanwhile, audio modality is added, so that the limitation that the visual modality cannot be detected due to building shielding objects, smoke and other reasons can be avoided, and the detection effect is more robust.

The invention particularly relates to a control method applying an unmanned aerial vehicle and based on multi-modal characteristics of a fire source, and relates to the technical field of fire safety. Acquiring multi-modal data of a fire source in real time; comprehensively estimating the heat power of the fire source; correcting combustion intensity; and quantitative calculation of fire extinguishing agent demand. An infrared imaging sensor, a visible light camera and a gas sensor array are integrated, a multi-mode fire source sensing system is constructed, the sensing limitation that a traditional fire extinguishing system only depends on single temperature or image is broken through, fire source temperature distribution, flame forms and combustion gas concentration changes can be comprehensively captured, and complete data support is provided for fire behavior judgment; the thermal power of a fire source is estimated in a fusion manner, a fuel type is combined to calibrate a correction coefficient, a differential quantitative calculation model is established according to liquid and solid fire extinguishing agents, fire disasters of different fuels such as wood, gasoline and plastic are adapted, and economy and fire extinguishing reliability are both considered.

The invention relates to the technical field of building fire protection, and discloses a building fire protection automatic spraying device which comprises a mounting ring and an assembling mechanism, a plurality of connecting plates are fixedly connected to the inner side of the mounting ring, a mounting base is fixedly connected to one ends of the connecting plates, and a connecting pipe is fixedly connected to the interior of the mounting base; a water outlet hole is formed in the bottom of the connecting pipe, a spraying mechanism is arranged on the outer side of the mounting base, the spraying mechanism comprises a dustproof shell, an annular limiting groove is formed in the inner side of the dustproof shell, and two arc-shaped limiting strips are fixedly connected to the outer side of the mounting base. A temperature sensing part in the device can accurately respond to fire behaviors, a water stop plug is timely triggered to be opened, water flow impacts an impeller to drive a dustproof shell to rotate, meanwhile, a foam block floats upwards to open water spraying holes, the water flow is evenly sprayed, the coverage area is enlarged, a fire source is rapidly extinguished, fire losses are effectively reduced, and building fire safety is comprehensively guaranteed.

The invention discloses an ancient building group fire early warning method and system based on an internet platform, and relates to the technical field of fire early warning, and the specific implementation scheme is as follows: obtaining a visible light image, and determining a scene type based on smoke detection confidence; the method comprises the following steps: after triggering to execute registration operation on an original infrared image, extracting an infrared feature map and a visible light feature map, generating an attention weight map according to the infrared feature map and the visible light feature map, and generating a preliminary fusion feature by combining the infrared feature map and the visible light feature map; performing dimension reduction compression processing on the preliminary fusion feature to obtain a low-dimensional feature vector, and inputting the low-dimensional feature vector into a classifier to obtain a fire occurrence probability of the current monitoring grid so as to select an early warning scheme; and marking the current monitoring grid as a risk source grid, calculating a directional propagation coefficient, updating a fire occurrence probability of an adjacent target grid, and adjusting an early warning scheme. According to the technical scheme of the invention, the problem of poor effectiveness of fire early warning of the ancient building group caused by abnormal fire behavior recognition is solved.

The invention provides a fire detection and disposal system and method based on multi-robot cooperation, and the system comprises a quadruped robot platform, a cloud platform, and a wheel-foot robot platform. Wherein the quadruped robot platform is used for detecting a fire behavior and sending information to the cloud platform in real time; the cloud platform receives information of the quadruped robot platform and dispatches and controls the quadruped robot platform and the wheel-foot robot platform; the wheel-foot robot platform is used for receiving an instruction of the cloud platform to execute fire extinguishing treatment; according to the method, the system is used for fire detection and disposal.

The invention discloses a firefighter ability grade evaluation method and system based on a fire scene environment, and relates to the technical field of ability grade evaluation methods, and the method comprises the steps: determining the sub-ability grade of each fire-fighting drill node according to the node position of each fire-fighting drill node, a fire-fighting behavior event and the previous fire-fighting drill record of a firefighter; and the ability level of the firefighter is evaluated based on the node position and the sub-ability level of each fire drill node and the body data set corresponding to each fire drill node, so that the evaluation accuracy of the ability level of the firefighter is improved. Determining the sub-capability level in an abnormal state based on the detection of each sub-capability level so as to determine a corresponding abnormal fire-fighting behavior; in each fire-fighting drill node, the plurality of abnormal fire-fighting action characteristics are determined according to the identification of the abnormal fire-fighting behaviors, and the abnormal fire-fighting factors are determined based on the plurality of abnormal fire-fighting action characteristics and the corresponding body data set, so that the identification accuracy of the abnormal fire-fighting factors is improved.

The invention relates to the technical field of intelligent fire protection, and discloses a park fire protection early warning management system and method for property management, and the method comprises the steps: constructing a conduction accessibility matrix to quantify the physical correlation strength of sensors in a building heat conduction network; when the sensor gives an alarm, activating conduction path associated equipment to carry out data cross validation and outputting a third-level credibility label; the fixed plan is deconstructed as basic units of a detection element, a control element and a suppression element, and a plan execution chain containing an execution sequence is dynamically assembled and generated based on real-time fire behavior simulation; and the new park response rule intelligent migration is realized through building topology vector matching with a historical case library. The limitation that a traditional system depends on single sensor threshold judgment is broken through, the sensor network is endowed with self-interpretation capacity through the physical conduction model, and the binding effect of false alarm on system decision is eliminated; an alarm-confirmation-response linear process is reconstructed into a multi-path parallel decision-making mechanism, and the secondary disaster risk caused by mistakenly starting a smoke exhaust system in a traditional scheme is avoided.

The invention provides a multi-sensor-based detection cabin fire-fighting monitoring and fire-fighting processing method and system, and relates to the technical field of monitoring processing, and the method comprises the steps: obtaining multi-sensor real-time monitoring data, employing a deep learning model to evaluate a fire behavior state, employing a distributed edge calculation mode to carry out a fire behavior response decision based on a fire behavior evaluation result, and the movable fire extinguishing device is controlled to autonomously move to the optimal fire extinguishing position, spraying parameters are adaptively adjusted, the execution effect is monitored in real time, and the deep learning model is fed back and optimized. The fire behavior evaluation accuracy and the fire-fighting processing efficiency are improved, and the reliability and the adaptability of the system are enhanced.

The utility model relates to semi-surrounding type foldable and movable automobile fire extinguishing equipment. The semi-surrounding type foldable and movable automobile fire extinguishing equipment comprises a movable integrated box body, a chassis water spraying frame, two lateral water spraying pipes, a first fire insulation fence and two second fire insulation fences, the chassis water spraying frame is connected to the lower end of the surface of the movable integrated box body and can be turned over, the two lateral water spraying pipes are connected to the lower end of the surface of the movable integrated box body and located on the two sides of the chassis water spraying frame, and the lateral water spraying pipes can be turned over; the first fire insulation fence is connected to the mobile integrated box body and faces the chassis water spraying frame, a water spraying opening is formed in the first fire insulation fence, the two second fire insulation fences are rotationally connected to the surfaces of the two lateral water spraying pipes correspondingly and can be turned over, and four-side water spraying is conducted on a vehicle on fire through the chassis water spraying frame, the two lateral water spraying pipes and the water spraying opening in the first fire insulation fence; and the first fire barrier and the two second fire barriers are arranged, it can be guaranteed that flames cannot be splashed to the outer sides of the first fire barrier and the two second fire barriers when the fire behavior is large, and the whole fire extinguishing process is safer.

The invention provides a smoke and fire detection alarm method and a camera, and relates to the technical field of fire safety intelligent monitoring and emergency response, and the method comprises the steps: collecting an image of a monitoring area through the camera; analyzing the image of the monitoring area, extracting the form, texture, color and dynamic change multi-dimensional features of smoke and flame in the image, comparing the features with a preset smoke and flame feature database, analyzing the possibility of existence of smoke or flame features, and obtaining a possibility value; according to the possibility value, if smog or flame characteristics are analyzed and confirmed, an alarm triggering instruction is automatically obtained and sent out; based on an alarm triggering instruction, a remote alarm notification is automatically sent to a specified contact person through a wireless communication network in various modes of making a call, sending a short message or pushing a message by means of a built-in communication function. According to the invention, intelligent and efficient management and control of the whole process from early-stage accurate recognition of the fire behavior to emergency disposal can be realized.

The invention provides an urban fire control method and device based on fire scene simulation, and the method comprises the steps: responding to a received instruction signal for carrying out the fire control of a target region where a fire occurs in a city, and collecting the scene data of the target region through an unmanned plane cluster; based on the scene data, constructing a fire scene twinborn simulation model at least comprising a temperature field and a smoke diffusion vector field in the target area; inputting the fire scene twinborn simulation model into a fire behavior prediction model, and performing fire behavior deduction on a target area based on a temperature field and a smoke diffusion vector field to obtain dangerous area information and evacuation channel information; and based on the dangerous area information and the evacuation channel information, generating a rescue path of the target area in the fire scene twinborn simulation model to determine a fire control strategy of the target area, and performing fire control on the target area according to the fire control strategy. Through the method, the real-time performance, the accuracy, the comprehensiveness and the stability of urban fire control are improved.

The invention provides a fire detection method and system and a computer readable storage medium, and the method comprises the steps: carrying out the multiple scanning of a surrounding environment from coarse to fine, achieving the three-dimensional coverage scanning, and avoiding the missing detection caused by a single scanning parameter; in each scanning process, the acquisition unit is controlled to scan the surrounding environment based on the current vertical range, fire behavior identification is carried out on each frame of infrared image acquired in the current scanning process in real time to obtain a current identification result list, and the current vertical range is determined based on the last identification result list; in this way, the vertical scanning range is gradually focused to the fire point area, comprehensive scanning is achieved, and resource waste is avoided. According to the method, the confidence coefficient of the remaining candidate fire point areas is calculated after the interference heat source of the surrounding environment is eliminated from the candidate fire point list, and fire point alarm is performed when the confidence coefficient exceeds the preset confidence threshold value, so that the accuracy of fire detection is ensured, and false detection is avoided.

The fire extinguishing robot comprises a machine body, a moving device, a fire extinguishing device and an operation device, the machine body comprises a storage box, the storage box is used for containing a fire extinguishing medium, the moving device is connected with the bottom of the machine body and used for walking, the fire extinguishing device is arranged on the side face of the machine body, and a nozzle of the fire extinguishing device communicates with the storage box; the nozzle can rotate around the first axis and the second axis, the operation device is arranged at the top of the machine body and comprises a grabbing and clamping assembly and a mechanical arm, the grabbing and clamping assembly is arranged at the end of the mechanical arm, the mechanical arm can rotate around the third axis, and the mechanical arm is used for controlling the height of the grabbing and clamping assembly. Wherein the first axis and the third axis extend in the vertical direction, and the second axis extends in the horizontal direction. The moving device, the operating device and the fire extinguishing device are matched with one another, so that the fire extinguishing robot can walk, remove environmental obstacles and assist operation actions, fire behavior processing actions are enriched, and the fire extinguishing efficiency is improved.