578 results about "Fire control" patented technology

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.

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 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 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 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 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 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 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.

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 utility model discloses a laying device for quickly covering a fire control blanket of a new energy automobile, which comprises a box body, the front side of the box body is in an opening design, the bottom of the front side of the box body is rotatably connected with a box door for sealing the opening, the inner walls of the left side and the right side of the box body are jointly and rotatably connected with a rotating shaft, and the fire control blanket is wound on the outer side of the rotating shaft. A clamping gap is formed in the rotating shaft, one side of the fire control blanket can be embedded into the clamping gap, a cylindrical rod is jointly fixed to the inner walls of the left side and the right side of the box body, and a cylinder is arranged on the outer side of the cylindrical rod and rotates on the outer side of the cylindrical rod. The fire control blanket is pulled outwards, so that the fire control blanket drives the rotating shaft to rotate, the fire control blanket is pulled out of the box body, meanwhile, the two pull ropes move in the opposite directions in the process of pulling out the fire control blanket, the fire control blanket is automatically unfolded in the pulling-out process, the fire control blanket is wound on the rotating shaft in advance, and the unfolding process is rapid and uniform; and a fire source can be quickly covered to achieve the purpose of extinguishing fire.

The utility model discloses a new energy parking stall fire intelligent three-dimensional fire control fire extinguishing device, which comprises an upper periphery fire control fire extinguishing piece, the upper periphery fire control fire extinguishing piece comprises an upper periphery fireproof supporting piece, a fireproof covering piece and an upper periphery fireproof power piece, the upper periphery fireproof supporting piece provides support above a parking stall, the fireproof covering piece is arranged on the upper periphery fireproof supporting piece, and the upper periphery fireproof power piece is arranged on the upper periphery fireproof supporting piece. According to the fire situation of the new energy vehicle on the parking space, the new energy vehicle is driven by the connected upper peripheral fireproof power piece to be unfolded or folded; the bottom fire control and extinguishing part comprises a bottom jet fire extinguishing part, a circumferential jet fire control part and a liquid supply part, the bottom jet fire extinguishing part is arranged on the parking space, the circumferential jet fire control part is arranged on the circumferential fire control and extinguishing part, and the liquid supply part is in through connection with the bottom jet fire extinguishing part; provided is an intelligent fire identification piece. The system is reasonable in structural design, high in automation degree, high in fire control and extinguishing efficiency and capable of effectively restraining fire spreading and effectively reducing harm of dense smoke of fire to personnel in the parking lot.

The invention relates to an energy storage system and a fire control method and device thereof, computer equipment, a storage medium and a computer program product, under normal conditions, a flame-retardant fire control device can be controlled to maintain operation, so that a flame-retardant medium is provided for a sealing assembly of the energy storage system, and the sealing assembly is in a combustion inhibition state; therefore, the possibility of thermal runaway of the energy storage system is reduced. And under the condition that flame retardance of the flame-retardant fire-fighting device fails, namely thermal runaway occurs in the energy storage system, the cooling and fire extinguishing device is controlled to operate, and a cooling medium and / or a fire extinguishing medium are / is provided for the thermal runaway site through the cooling and fire extinguishing device, so that the thermal runaway site is cooled and extinguished. According to the scheme, under the condition that thermal runaway does not occur in the energy storage system, protection can be carried out through the flame-retardant medium, the possibility of thermal runaway is reduced, under the condition that thermal runaway occurs, the thermal runaway site is cooled and extinguished through the temperature medium and / or the fire extinguishing medium, and the fire safety of the energy storage system is greatly improved.

The invention discloses a new energy charging shed and an intelligent fire-fighting control method and device, and the method comprises the steps: obtaining the information of a target infrared temperature sensor according to the starting state of a fire-fighting device, collecting a corresponding real-time temperature value, and generating an average environment temperature at each collection moment; generating a fire alarm value according to the average environment temperature; and if the real-time temperature value of any infrared temperature sensor is greater than the fire alarm value, generating a preset power-off instruction, a preset sound-light alarm instruction and a first fire control instruction. The real-time temperature of at least one target infrared temperature sensor is collected according to the starting state of the fire fighting device, namely the fire condition in the charging shed, so that the average environment temperature is calculated, and compared with a mode of directly measuring the environment temperature, the overall temperature condition in the charging shed can be sensed more accurately; on the basis, a more reasonable fire alarm value is obtained, and the effectiveness of the charging shed fire control process and the safety of the charging process are improved.

The utility model relates to an energy storage system based on fire fighting, which comprises a battery system. A smoke exhaust pipeline system and a fire extinguishing pipeline system are respectively arranged on the battery system; the battery pack comprises a battery shell; a plurality of battery cell spacers are arranged in the battery shell and divide a closed inner cavity of the battery shell into a plurality of independent battery chambers for storing lithium iron phosphate battery cells; a communication channel is arranged in the battery shell; the communicating channel comprises a smoke collecting chamber and a medicament fire extinguishing chamber; the smoke collecting chamber is communicated with the medicament fire extinguishing chamber through a common through hole; the smoke collecting chamber and the medicament fire extinguishing chamber are respectively communicated with a smoke discharging pipeline system and a fire extinguishing pipeline system; a VOC composite detector is arranged in the closed inner cavity; the device is reasonable in design, compact in structure and convenient to use.

The invention provides a method for checking the control mode of important equipment in an automatic fire alarm system, and the method comprises the steps: carrying out the wavelet transformation of the time series data of a key control node, extracting the time-frequency domain features, classifying the time-frequency domain features, and analyzing the operation conditions of a roller shutter door, the operation conditions including speed sudden change and position deviation; inputting the operating parameter feature vector into a pre-trained convolutional neural network model, evaluating the operating state of the multi-line control mode of the roller shutter door, and judging whether the operating state accords with a preset fire-fighting specification or not; sending the adjustment suggestion to a fire control center, generating an adjustment instruction of a multi-line control mode of the roller shutter door, and issuing the adjustment instruction to a roller shutter door controller on site through a communication module of the automatic fire alarm system; and the roller shutter door controller dynamically adjusts the operation parameters of the control circuit according to the adjustment instruction, and the closing process of the roller shutter door is optimized.

The invention provides a fixed fire extinguishing system and method based on a closed cabin and a terminal. A fire behavior detection module sends out an automatic alarm signal or an active alarm module manually triggers an active alarm signal; a fire judgment module determines the closed state of the cabin door when judging that a fire occurs, and generates a linkage fire control signal; linkage fire extinguishing operation is executed on the closed cabin through the fire extinguishing control module; and after-combustion fire extinguishing operation is executed when the after-combustion fire extinguishing signal is triggered. The problems that in the prior art, a fixed fire extinguishing system of a closed cabin is insufficient in fire false alarm and fire re-combustion coping capacity are solved. The technical problem that a single detector is prone to triggering fire false alarm is solved through the logic design that the multiple detectors trigger alarm signals at the same time and determine the closed state of the cabin door, and the safety of the closed cabin is protected by positively responding to reburning fire through the linkage air-oil system and reburning monitoring.

The invention discloses a video-smoke sensing linkage intelligent fire early warning method and system, and the method comprises the steps: A1, collecting and preprocessing a monitoring video stream and real-time smoke concentration data of a fire fighting access, and obtaining a preprocessed monitoring video stream and preprocessed smoke concentration time sequence data; a2, fire enhancement visual features are extracted according to the preprocessed monitoring video stream; a3, extracting a fire precursor visual feature according to the fire enhanced visual feature, and calculating a preliminary fire confidence score; a4, smoke concentration trend characteristics are extracted; a5, based on the fire precursor visual features, the preliminary fire confidence score and the smoke concentration trend features, calculating a fire confidence score and a dynamic smoke alarm threshold; a6, the fire behavior grade is judged; and A7, generating an event processing instruction according to the fire behavior grade. According to the invention, the problem of inaccurate fire early warning caused by difficulty in linkage of a video and a smoke sensor and incapability of dynamically adjusting an alarm threshold in a traditional method can be solved.

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 relates to the technical field of energy storage cabinet fire protection, and provides an energy storage cabinet fire protection management method and system, and the method comprises the steps: S1, obtaining the package-level fire protection alarm level of each battery pack; and S2, according to the pack-level fire alarm level of each battery pack, an individual fire control measure for a single battery pack and an overall fire control measure for the energy storage cabinet are selected to be executed. According to the invention, individual fire-fighting measures and overall fire-fighting measures are selected to be executed according to the pack-level fire-fighting alarm level of each battery pack, so that accurate individual fire-fighting measures can be taken for thermal runaway of a single battery pack, the single fire-fighting cost is well controlled, and the subsequent maintenance cost is reduced; according to the method, targeted fire-fighting treatment is carried out according to the pack-level fire-fighting alarm level of each battery pack, and liquid fire-fighting treatment can be carried out when thermal runaway of the battery packs cannot be controlled by gas fire-fighting, so that the reliability of single-pack fire-fighting is improved, the spreading of thermal runaway is avoided, and the safety of adjacent battery packs and energy storage cabinets is guaranteed.

A wireline release head system includes a housing, a cutter box situated within the housing, a fire control switch, and a wireline extending through the cutter box and in electrical communication with a control unit and the fire control switch. The cutter box includes a piston assembly operable to move within a first track and a cutter knife operable to move within a second track. The second track is angled relative to the first track. The fire control switch is in communication with a fire detonator, which is selectively activatable to detonate a power charge. An electrical signal selectively sent through the wireline from the control unit to the fire control switch detonates the power charge, which causes the piston assembly to move within the first track and contact the cutter knife causing the cutter knife to move within the second track, thereby severing the wireline.