154 results about "Fire response" 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 community fire early warning method combined with a knowledge graph, and relates to the technical field of fire early warning, and the method comprises the steps: carrying out the traversing of community region information, carrying out the data collection, and constructing a community fire knowledge graph according to a data collection result; performing feature extraction based on the community fire knowledge graph to obtain a plurality of fire features; constructing a fire risk assessment model to perform fire risk assessment on the community, and generating a plurality of risk assessment results; monitoring the community in real time, and generating a trigger instruction; and starting a fire early warning mechanism according to the trigger instruction, and generating a fire response decision. The technical problems that in the prior art, a traditional fire early warning method is inaccurate in evaluation and cannot effectively prevent fire in advance are solved, and the technical effects of improving the accuracy of fire risk evaluation, improving the accuracy of fire prevention and effectively reducing fire hazards are achieved by combining the knowledge graph.

The invention discloses a fire safety detection system based on edge-cloud collaboration, and belongs to the technical field of fire safety, the fire safety detection system comprises an edge end and a cloud end, the edge end comprises a sensor module and a fire response module, the cloud end comprises a fire analysis module and an auxiliary traceability module, and the sensor module is connected with the auxiliary traceability module. Comprising a smoke sensor, a light scattering sensor and an infrared sensor and is used for receiving field data in real time, transmitting the field data to the edge end for judgment and transmitting a control signal into the fire-fighting response module based on a judgment result of the edge end. According to the fire safety detection system based on side cloud cooperation, on the basis of the side cloud cooperation technology, the edge end is responsible for field monitoring and emergency alarm, the cloud end is responsible for data integration, analysis, information transmission and auxiliary alarm, data support is provided for subsequent fire decision making, meanwhile, the fire spreading trend and the fire grade are analyzed and predicted in real time, and the fire safety detection efficiency is improved. And the fire treatment efficiency can be improved.

The invention belongs to the technical field of fire alarm, and discloses a fire-fighting early warning method and system for improving fire study and judgment accuracy, and the method comprises the following steps: obtaining the position and sensing angle of a detector, analyzing the influence of a shielding object on a sensing range, screening a high-exposure point location of a blind area, and recognizing an edge continuous response path. Connecting and rearranging a node sequence to form a linear propulsion section, extending non-response points consistent in path positioning direction, screening and constructing a forward response sequence, and extracting a fire alarm early warning judgment support response set; according to the invention, by optimizing the arrangement, control and shielding structure of the detector, identifying a sensing blind area and focusing a highly exposed area, and combining linkage identification of continuous response sensing points, a stable fire response path is constructed, and the scheme analyzes the position and response sequence of path nodes, maintains the correctness of the path, enhances the reliability of fire early warning, and improves the reliability of fire early warning. And by extending the path and calibrating the non-response sensing points, the identification capability of fire alarm propagation characteristics is enhanced, and the response judgment of the early warning system is optimized.

The invention discloses a GNN and GRU-based bridge structure time-varying fire response prediction method and system, and the method comprises the steps: building a to-be-detected bridge structure FEM model, randomly generating a fire curve, and generating a data set through the combination of the FEM model and the fire curve; establishing a graph structure according to the FEM model, and embedding static and dynamic characteristics for temperature, stress and displacement prediction in nodes of the graph structure; a message transmission layer is constructed, the GNN is responsible for space information transmission, and the GRU is responsible for time information transmission; simulating a heat conduction formula by using a message passing formula combining the two; receiving node input vectors including temperature, stress and displacement prediction characteristics from the graph structure; determining a loss function and separately training GNN + GRU networks for temperature, stress and displacement prediction; and when the to-be-detected bridge structure encounters a fire, acquiring a fire response condition of the to-be-detected bridge structure through the trained model. The problem that a traditional GNN model can only predict non-time-varying boundary fire response is solved.

The invention provides a data center intelligent fire-fighting linkage management system in a multi-station fusion transformer substation, and relates to the technical field of multi-station fusion, and the system comprises a fire detection module which is used for collecting the smoke concentration, environment temperature and humidity and electrical parameters in data in real time, and obtaining original fire data; the control module is used for receiving the original fire behavior data and analyzing the smoke concentration, the environment temperature and humidity and the electrical parameters by using a spotted serow optimization algorithm so as to generate a fire behavior grade judgment result; and the automatic fire extinguishing module is used for triggering a collaborative fire extinguishing program of the heptafluoropropane gas fire extinguishing device and the water mist fire extinguishing device according to the fire behavior grade judgment result. According to the invention, through efficient and accurate fire detection, cooperative fire extinguishing and emergency linkage, the fire response efficiency and safety are improved.

The invention relates to the technical field of gateway equipment data processing, and provides an intelligent alarm method, device and equipment of a multifunctional gateway and a storage medium, and the method comprises the steps: obtaining smoke concentration data and door magnetic state data of the intelligent gateway equipment to generate a corresponding alarm signal, carrying out the noise filtering and time window analysis of the alarm signal, and obtaining the smoke concentration data and the door magnetic state data of the intelligent gateway equipment. The alarm intensity index and the alarm duration index are obtained, the alarm intensity index and the alarm duration index are utilized to sort the alarm priorities, an alarm scheme is obtained, and a fire-fighting response instruction is generated based on the alarm scheme. Smoke concentration data and door magnetic state data are collected for real-time analysis and association processing, a fire-fighting response instruction is generated, the alarm accuracy and response efficiency are improved, potential safety hazards caused by false alarm and leakage alarm are reduced, and the problems that in practical application, a current alarm system is poor in adaptability in complex scenes, and fire-fighting performance is poor are solved. The processing of a plurality of alarm signals is not accurate enough, and false alarm or missing alarm occurs.

The invention discloses a fire detection method based on a two-parameter molded line type flame sensor. The method comprises the following steps: 1) carrying out temperature calibration on the two-parameter molded line type flame sensor; 2) collecting capacitance and resistance parameter values of the flame sensor, and transmitting the parameter values to a signal processing module; and 3) the signal processing module processes the collected parameter values, judges the parameter values through a multi-layer logic control algorithm, and outputs an alarm signal or other preset type signals according to a judgment result. Parameter setting of the flame sensor is adjusted according to multiple experimental data, and the problems that a linear flame sensor is low in sensitivity and slow in fire response speed are solved. And an optimization design scheme of software system structure optimization, data structure optimization and algorithm optimization is provided, so that the memory access speed is higher, the data transmission performance and the system reliability are improved, and the false alarm prevention performance of the device is greatly improved.

Disclosed is a digital twin platform provision system for detecting and responding to a fire in an installation region of electrical equipment in a nuclear power plant, which includes: a digital twin build unit for building an initial digital twin by digitally modeling target objects including equipment and subsidiary materials related to fire outbreak and damage spread; an attribute information application unit for applying fire reactivity information received from an outside and serves as attribute information about fire outbreak and spread factors to the initial digital twin, thereby building a digital twin; and a simulation information provision for unit generating simulation information, which is information fire outbreak about prediction, fire spread simulation upon fire break, and fire response and evacuation scenarios upon the fire break, by using the digital twin according to a user input and outputting the simulation information to a user terminal.

The invention discloses a management system capable of planning fire-fighting information of urban residential areas as a whole and an early warning method thereof, and the method specifically comprises the steps: carrying out the multi-level division of a residential area plane and space, setting the residential area plane and space into a plurality of monitoring areas, deploying one or more pieces of fire-fighting monitoring equipment with a unique identity number in each monitoring area, the fire-fighting monitoring equipment is associated to the household information integration platform or the regional information integration platform based on the monitoring region where the fire-fighting monitoring equipment is located, and the information integration platforms at all levels are sequentially gathered and associated to the fire-fighting intelligent decision-making center platform to form a system for daily and disaster decision-making management. The system integrates four sub-systems of detection, information transmission, daily management and disaster situation judgment and early warning, can cover each space of a living area, realizes real-time monitoring of the fire-fighting condition of the living area, rapid data transmission, effective equipment management and accurate fire positioning and early warning, and improves the safety of the living area through cooperative work inside and outside the system. The fire-fighting information management level can be effectively improved, fire disasters can be inhibited, or fire coping strategies can be optimized.

The invention discloses a power distribution cabinet with fire early warning and fighting functions, which comprises a power distribution cabinet main body, a storage ceiling is arranged at the top of the power distribution cabinet main body, a carbon dioxide fire extinguisher and a loading seat are arranged in the storage ceiling, and the loading seat is arranged at the top of the power distribution cabinet main body. The carbon dioxide fire extinguisher is erected at the top of the loading seat. The intelligent power distribution cabinet integrates efficient fire early warning and automatic fire extinguishing functions, environment changes in the power distribution cabinet are monitored in real time through the fire detector, once a fire sign is detected, an audible and visual alarm is triggered immediately, attention is attracted rapidly, emergency response is started, and meanwhile an automatic fire extinguishing mechanism is triggered; the power distribution cabinet can rapidly and effectively extinguish a fire in the cabinet body, and the design integrating early warning and extinguishment not only significantly shortens the fire response time, improves the fire extinguishing efficiency, but also reduces the risk of manual operation, and provides comprehensive and reliable guarantee for the safety of the power distribution cabinet and the surrounding environment of the power distribution cabinet.

The present disclosure provides a fire response control method and system for a lithium battery energy storage box, relating to the technical field of lithium batteries, which comprises: collecting battery compartment layout information of the lithium battery energy storage box; reading data of the lithium battery energy storage box to obtain real-time control data; laying out temperature collection devices through the battery compartment layout information; obtaining temperature data collection results; collecting historical detection data with time sequence identifiers; constructing a lithium battery feature data set of the lithium battery energy storage box; constructing an abnormality monitoring model; outputting abnormality warning level information; generating multi-level fire response control data; and managing the lithium battery energy storage box. The technical problem of inaccurate and timely fire warning of the lithium battery energy storage box and inability to avoid fire accidents in time due to the single and inaccurate setting of the warning threshold in the prior art is solved.

The invention discloses a performance-based fire-resistant design method for a cable system of a large-span suspension bridge. The method comprises the steps of bridge fire-resistant category division, fire intensity division, fire-resistant target determination, adverse fire scene determination, fire response calculation, fire-resistant checking calculation, fire-resistant protection and the like. The bridge fire-resistant category, the fire intensity, the fire-resistant performance and the fire-resistant target are all divided into three levels. The adverse fire scene is determined based on the fire type, fire combustion mode, fire position, wind speed and wind direction influence and combined with the structure stress state; fire response is calculated through thermal-mechanical coupling by adopting a finite element method; the fire-resistant checking calculation can adopt a design method based on overall structure fire-resistant checking calculation or component fire-resistant checking calculation; and when the fire-resistant checking calculation of each component of the cable system does not meet the fire-resistant target, fire-resistant protection design is carried out, and a fire-resistant protection scheme is designed by combining tests and numerical simulation. The fire-resistant design method based on the performance of the suspension bridge cable system is constructed, and reference can be provided for fire-resistant design of the suspension bridge.

The invention discloses a fire bus type alarm controller, which relates to the field of fire alarm and comprises an alarm control module used for acquiring start-stop control authority of each functional module and receiving and submitting alarm information; the detection and acquisition module is used for acquiring environmental factor data of smoke, temperature, humidity, airflow direction and airflow intensity in real time and working states and performance indexes of all detection devices to form analysis data real-time streams, and transmitting the analysis data real-time streams to the alarm control module through a bus; by acquiring environmental factors and equipment performance data in real time and analyzing data streams, potential fire risks are quickly judged, timely alarm giving is facilitated through a quick response mechanism, the response speed of fire response is increased, mutual influence between the environmental factors and the equipment performance is more accurately identified through a machine learning algorithm, and the fire risk can be quickly judged. Therefore, the prediction accuracy is effectively improved, and false alarms are reduced.

The invention relates to the technical field of energy storage fire fighting, and discloses an energy storage three-level fire fighting response system and method based on temperature and smoke linkage, and the energy storage three-level fire fighting response method based on temperature and smoke linkage comprises the steps: collecting the operation data of an energy storage system in real time, respectively establishing and updating corresponding gas concentration base lines, temperature base lines and smoke base lines for different operation conditions; calculating a threatened gas index, temperature trend energy and a smoke abnormity index, and calculating a gas information modulation factor; calculating a comprehensive risk amount; performing three-level response judgment and executing an action; the risk attenuation rate is calculated, and self-correction is carried out; according to the method, continuous coverage of thermal runaway of the energy storage system from an early symptom to emergency disposal is realized through linkage fusion of temperature, smoke and threatened gas, risks can be identified in advance in a window period in which traditional temperature and smoke information is not obvious, a unified comprehensive risk quantity is taken as a judgment basis, missing report and false report of a single sensing quantity threshold value are reduced, and the safety of thermal runaway of the energy storage system is improved. And the timeliness and consistency of early warning are improved.

The invention relates to a nuclear power plant fire alarm response method and device based on a three-dimensional engine and electronic equipment. The method comprises the following steps: acquiring field environment information of a nuclear power plant; constructing an initial three-dimensional model by adopting a three-dimensional engine method according to the field environment information; integrating field fire-fighting equipment information into the initial three-dimensional model to obtain a composite three-dimensional model; judging whether a fire occurs or not according to the real-time fire-fighting monitoring information; and if yes, generating a visual guidance strategy according to the real-time environment information and the real-time fire-fighting equipment information of the nuclear power plant site. Real-time visual monitoring of the internal structure of the nuclear power plant is achieved, the efficiency and accuracy of fire response are remarkably improved, multiple parameters in the nuclear power plant are monitored in real time through integration of fire fighting equipment information, once parameter abnormity is detected, the system can automatically start an emergency plan, a fire scene is simulated through a domestic three-dimensional engine, and the fire response efficiency and accuracy of the nuclear power plant are improved. And a visual evacuation path and a fire extinguishing scheme are provided for field personnel.

The invention provides a reinforced concrete member damage assessment method, system, equipment and medium, and belongs to the technical field of structural damage assessment, and the method comprises the steps: constructing a fire response feature knowledge base containing fire physical test data and simulation data of a reinforced concrete member, training the machine learning agent model by taking component design parameters and fire working condition parameters of the reinforced concrete component in the knowledge base as input parameters and taking post-fire component response data as output parameters to obtain a prediction model for predicting direct physical damage indexes of the post-fire reinforced concrete component; constructing a fire vulnerability curve representing the relationship between the failure probability and the fire intensity based on the prediction model; and receiving parameters of a to-be-evaluated component, and generating and outputting a damage evaluation result of the component based on the prediction model and the fire vulnerability curve. According to the invention, through data and model collaborative optimization, high-efficiency and accurate post-fire reinforced concrete member damage evaluation is realized.

The invention relates to the field of tunnel fire prevention and control, and particularly discloses an intelligent fire extinguishing system and method based on a tunnel flexible partition, the intelligent fire extinguishing system comprises a water distribution device, a smoke fire detector, a temperature sensor, a tunnel fire extinguishing unit and a controller, the water distribution device comprises a water distribution pipe and a water curtain spraying assembly; when the water curtain spraying assembly is started, the spraying water curtain forms a flexible partition, the controller is electrically connected with the water distribution device, the smoke fire detector, the temperature sensor and the tunnel fire extinguishing unit, and the water distribution device and the tunnel fire extinguishing unit are controlled based on information of the smoke fire detector and / or the temperature sensor. According to the invention, the spreading trend of the flame can be pre-judged in advance by monitoring the smoke concentration and temperature, such a pre-judgment mechanism enables fire extinguishing measures to be more prospective, and the efficiency and effectiveness of dealing with fire disasters are improved.

The invention discloses a real-time mixed fire test method for a large-scale substructure of a bridge cable, and belongs to the technical field of bridge fire resistance test. A full bridge is divided into a physical test substructure and an LSTM numerical substructure, the numerical substructure is constructed based on multi-scale gating residual LSTM, and second-level high-precision prediction of the boundary force or displacement of a cable system in a fire disaster is achieved through a parallel multi-branch network, a dynamic feature selection gate and residual cross-layer connection. By combining an LSTM-PID intelligent control system, displacement / stress and a temperature field are converted into loading signals according to a prediction instruction, a time delay compensation mechanism is synchronously integrated, a center hole jack, a combustor and a fan are driven in real time, a non-uniform wind-fire coupling scene is reproduced, and a full-bridge three-dimensional visual fire response is formed. According to the method, the speed bottleneck of traditional finite element calculation is broken through, second-level thermal coupling interaction is achieved, and a high-precision and high-reliability test method and platform are provided for large-span bridge fire resistance design.

The invention relates to the technical field of fire safety management, and particularly discloses a community fire rescue path optimization method and system, and the method comprises the steps: building a community map database through employing a geographic information system, collecting the traffic flow data of each road segment through employing a traffic camera, and then, carrying out the collection of the traffic flow data; performing time sequence analysis on the traffic flow data of each road section by using a data processing technology based on deep learning so as to capture a traffic flow time sequence dynamic change trend of each road section, and further performing global association coding on traffic flow time sequence change characteristics of each road section according to a communication relationship among the road sections of the community so as to obtain traffic flow time sequence data; therefore, the overall traffic road condition mode of the community is revealed, and the optimization recommendation of the rescue route is realized on the basis. Through the mode, real-time optimization of a community fire rescue path can be realized, the fire response speed is improved, and the loss caused by a fire disaster is reduced.

The invention, which relates to the technical field of fire safety management, discloses an Internet-based intelligent fire safety pre-judgment management linkage system comprising a real-time monitoring module, an intelligent pre-judgment module, an automatic linkage module, an edge-cloud cooperation module and a model loading module. The real-time monitoring module is responsible for all-weather monitoring of various parameters in a fire-fighting environment, including fire-fighting equipment states, environment parameters and possible fire signs. According to the intelligent fire safety pre-judgment management linkage system based on the Internet, close cooperation between the edge nodes and the cloud is achieved by optimizing the edge computing architecture, the edge nodes can rapidly obtain more computing resources or data support from the cloud, the multiple edge nodes work cooperatively in combination with load balancing, and the safety of fire safety pre-judgment management is improved. Complex data analysis tasks are jointly processed, and the fire response speed is remarkably increased. And in cooperation with standardized protocol layering, efficient cooperative work among the modules is realized, and fire response delay is further reduced.

The invention relates to the technical field of park monitoring, in particular to a smart park multi-source fire-fighting data dynamic monitoring and real-time analysis system, which comprises a risk early warning unit, a rescue request unit, a visual large screen unit, a rescue planning unit, a diffusion analysis unit and a fire-fighting evacuation unit, and further comprises a state monitoring unit, a real-time analysis unit and a fire-fighting evacuation unit, the state monitoring unit is used for performing state monitoring on a plurality of monitoring areas in the target smart park through the sensor group to obtain first fire-fighting data of the monitoring areas, and the first fire-fighting data of the monitoring areas comprises temperature, smoke concentration and gas concentration of the monitoring areas. Through the combination of the state monitoring unit and the threshold value judgment unit, the system can obtain and analyze fire-fighting data in a park in real time, and timely identify a potential fire risk area, so that the system can quickly respond to a possible fire event, and the fire response speed and efficiency are improved.

Disclosed is a digital twin platform provision system for detecting and responding to a fire in an installation region of electrical equipment in a nuclear power plant, which includes: a digital twin build unit for building an initial digital twin by digitally modeling target objects including equipment and subsidiary materials related to fire outbreak and damage spread; an attribute information application unit for applying fire reactivity information received from an outside and serves as attribute information about fire outbreak and spread factors to the initial digital twin, thereby building a digital twin; and a simulation information provision unit for generating simulation information, which is information about fire outbreak prediction, fire spread simulation upon fire break, and fire response and evacuation scenarios upon the fire break, by using the digital twin according to a user input and outputting the simulation information to a user terminal.

The invention discloses a liquid storage tank automatic fire extinguishing and cooling system and a fire extinguishing and cooling method thereof.The liquid storage tank automatic fire extinguishing and cooling system comprises a first storage tank and a second storage tank which are adjacent, and the first storage tank communicates with the second storage tank through a connecting pipe; a first foam release device and a second foam release device are coaxially arranged in the first storage tank and the second storage tank respectively, a cut-off device is arranged at the center of the connecting pipe, and the cut-off device is linked with the first foam release device or the second foam release device; when the temperature of the first storage tank or the second storage tank is too high, the cut-off device can cut off the connecting pipe, and the first foam release device or the second foam release device can rise to be higher than the liquid level in the first storage tank and the liquid level in the second storage tank along the axis of the first storage tank or the axis of the second storage tank and obliquely and downwards spray cooling foam to the liquid level. Synchronous triggering of temperature abnormity, pipeline isolation and foam spraying can be achieved, seamless connection of isolation and fire extinguishing is ensured, the manual intervention link is eliminated, the fire response time is greatly shortened, and the fire extinguishing agent coverage range and coverage precision are improved.

The invention relates to the technical field of fire emergency management, in particular to a BIM-based building fire emergency management system, which comprises a fire intelligent monitoring module, a fire early warning module, a fire response module, a fire disposal module and a database management module, the intelligent fire monitoring module monitors fire information; the fire early warning module takes corresponding countermeasures according to different behavior decisions of trapped persons; the fire response module determines the decision behavior difference of different users and determines the positions of different decision makers; the fire disposal module confirms the optimal route and guides the users to complete their behavior decisions as soon as possible; the database management module obtains monitoring data for definition, storage and extraction; organizing and maintaining a database, and performing data connection when the operating system performs online and remote operation; and the data is fed back to mobile equipment of related operators and users in a central control room.

The application discloses a reinforced concrete column fire response prediction method based on thermal boundary distortion similarity, and relates to the technical field of civil engineering structure fire resistance. In view of the problem that the existing scale model fire test needs to strictly meet the complete similarity of the thermal boundary, and the temperature rising rate of the model temperature curve is too high to be implemented in the test furnace, the distortion coefficient is introduced in the calculation of the scale model temperature field, the high-temperature real-time load ratio is taken as a unified mechanical response index, and the response mapping relationship between the prototype and the model is constructed. The distortion coefficient is determined through iterative calculation to make the high-temperature real-time load ratio prediction coefficient meet the preset error range, and the distortion coefficient is used to realize accurate prediction of the prototype fire response. The application does not pursue the complete similarity of the prototype and the model temperature field, but realizes equivalent mapping of the prototype and the model at the high-temperature mechanical response level by introducing the distortion coefficient, thereby significantly improving the engineering implementability of the scale model fire test and reducing the test cost.

A guide rail type fire extinguishing robot for fire response of a parking lot comprises a guide rail and a moving assembly moving along the guide rail, and an outer cover assembly is hoisted at the bottom of the moving assembly through a lifting part; the access structure is arranged on the outer cover assembly and communicates with the inner cavity of the outer cover assembly, the access structure can communicate with the water conveying assembly, the water conveying assembly conveys water into the inner cavity of the outer cover assembly, and a closed water curtain structure is formed in the gap between the bottom of the outer cover assembly and the ground; the lifting part drives the access structure to be in butt joint with the water conveying assembly through the transmission assembly. After fire fighting water enters the inner cavity of the outer cover assembly, the fire fighting water flows out from the edge of the inner cavity, a closed water curtain structure is formed in the gap between the outer cover assembly and the ground, connection between the outer cover assembly and the external environment is isolated to a certain degree, therefore, contact between external air and a vehicle on fire is cut off, fire extinguishing equipment such as a dry powder fire extinguisher is matched, and the fire extinguishing efficiency is improved.

The invention discloses an Internet of Things new energy vehicle parking space linkage fireproof alarm method and system, and relates to the technical field of Internet of Things, and the method comprises a binding step: responding to a binding request of a user mobile terminal, and setting a parking space fireproof device, a cloud service platform, a mobile control terminal and a property management system, a perfect fireproof alarm system is constructed, rapid triggering and multi-terminal synchronous notification of fire alarm are realized in combination with the binding relationship and alarm logic processing of a cloud service platform, and meanwhile, through automatic work order distribution and remote early warning of a property management system, whole-process closed-loop management from monitoring to processing is formed, and the management efficiency is improved. The system improves the fire response speed and processing efficiency, effectively solves the specific potential safety hazard of the parking space of the new energy vehicle, manages, visualizes and stores the fireproof alarm data and the corresponding analysis result, facilitates the realization of fireproof alarm management through Internet cloud management and control, and improves the intelligent level of fireproof alarm management.

The present invention provides a ejection nozzle and fire prevention system, which relates to the field of fire fighting equipment, including a nozzle sleeve, a cover, a piston and a temperature sensing component; the upper end of the nozzle sleeve is used to connect a water pipe, and the lower end is connected to the cover, the piston is arranged in the nozzle sleeve and can slide in the nozzle sleeve, the piston is provided with a water hole connected to the upper end of the nozzle sleeve, the temperature sensing component is connected to the lower end of the piston and supported on the cover, and the temperature sensing component blocks the water hole; after the cover is separated from the nozzle sleeve under fire, the piston can drive the temperature sensing component to slide downward and extend out of the nozzle sleeve, and the temperature sensing component can release the blocking of the water hole under fire, so that water leaks out from the water hole. The present invention can increase the water distribution space of the nozzle, adapt to fire places of different danger levels, and the structure used for water distribution will not jump during the water spraying process, thereby improving the water distribution performance, and can also improve the fire response speed and shorten the fire response time.

The invention discloses an intelligent alarm linkage system based on fire-fighting monitoring. The system comprises a sensor monitoring module, a data acquisition and transmission module, a data analysis and processing module and an alarm and linkage control module, wherein the sensor monitoring module is used for detecting fire related data of a target position in real time; the data acquisition and transmission module is used for collecting fire related data in real time and transmitting the fire related data to the data analysis and processing module; the data analysis and processing module is used for judging whether a fire risk exists or not in real time according to the fire related data; and the alarm and linkage control module is used for giving an alarm when the data analysis and processing module determines that the fire risk exists, and automatically starting fire linkage prevention and control measures. Through real-time monitoring and automatic identification of the fire risk and automatic triggering of linkage control when the risk is determined, intelligent and automatic fire response is realized, the real-time performance and accuracy of fire monitoring and the efficiency of fire prevention and control are improved, and thus casualties and losses are reduced.