236 results about "Fire alarm system" patented technology

The invention discloses a distributed electrochemical energy storage fire alarm system based on an intelligent algorithm, and relates to the technical field of energy storage battery safety monitoring. Technical processes of multi-source data acquisition and preprocessing, key health factor extraction, multi-modal feature fusion, depth model detection, cross-system intervention and adaptive strategy optimization are provided; a high-quality data stream is generated through real-time synchronous sampling and noise filtering, weak fault symptoms such as internal short circuit or material deterioration are highlighted by applying a multi-dimensional feature structure, a deep learning model is utilized to accurately recognize and output early warning, and then load reduction, isolation and temperature control measures are carried out in cooperation with a BMS, an EMS and a fire fighting system. An evolutionary algorithm or a reinforcement learning continuous iteration intervention strategy is introduced in a simulation environment, high-sensitivity capture and rapid suppression of latent risks under multi-scene complex working conditions are achieved, the rate of missing report and false report can be remarkably reduced, and the overall safety of the system is remarkably enhanced.

The invention relates to the technical field of fire alarm systems, in particular to a distributed intelligent smoke monitoring and alarm management system, which comprises a data acquisition and trend analysis module for analyzing a smoke concentration change trend and generating a preliminary early warning signal based on real-time data acquired by a smoke sensor; the method specifically comprises the steps that the smoke concentration value Cs (t) of a smoke sensor in the time sequence is obtained, the average value Cmean and the standard deviation Std of the smoke concentration values in the current period are calculated, the upper limit threshold value and the lower limit threshold value of the smoke concentration are determined according to the formulas that Threshold High = Cmean + K1 * Std and Threshold Low = Cmean-K2 * Std, K1 and K2 are adjustment coefficients and are used for weighing sensitivity, when Cs (t) exceeds Threshold High or is lower than Threshold Low, preliminary early warning is triggered, and when Cs (t) is larger than Threshold Low, the smoke concentration is not subjected to early warning. The system analyzes the smoke concentration trend in real time, filters interference, links environment variables to adjust threshold values, performs multi-stage filtering, performs self-learning optimization, performs intelligent hierarchical scheduling, and efficiently prevents and controls fire disasters.

The invention belongs to the technical field of fire-fighting supervision, and particularly relates to an intelligent fire-fighting alarm system and method based on regionalized monitoring, and the system comprises a regionalized monitoring network module, an intelligent data analysis module, an early warning information issuing module, an emergency evacuation plan module, a fire-fighting facility linkage module, and a regional fire-fighting supervision terminal. Environmental parameters in a target area are comprehensively collected in real time through the regionalized monitoring network module, the intelligent data analysis module identifies a fire disaster based on the collected data, quick response and emergency evacuation are performed after the fire disaster is identified, loss caused by the fire disaster is effectively reduced, and the safety of the fire disaster is improved. After fire early warning is removed, fire hazards are accurately analyzed and fed back in time, regional fire control management personnel can master the severity degree of each fire in detail, and regional fire control safety supervision is enhanced in time by comprehensively evaluating and analyzing the regional fire control potential safety hazard degree; the regional fire-fighting hidden danger is obviously reduced; and the regional fire-fighting management difficulty is reduced.

The invention discloses a method for effectively studying and judging false alarm of a fire alarm system in a transformation power station in a multi-dimensional mode, and the method comprises the steps: collecting and fusing multi-channel sensor data, such as smoke concentration, temperature, humidity, electromagnetic field intensity, grounding state and the like, and constructing a scenarized data set in combination with an environment label and an operation and maintenance log; through multi-level feature processing such as normalization, wavelet denoising and dimension reduction, the data quality and discriminability are improved; according to the method, the space-time diagram neural network is used for achieving multi-period environment subarea and typical signal mode division, multi-period fusion confidence judgment is conducted on alarm signals based on the fuzzy set theory and Bayesian reasoning, dynamic judgment of false alarms and real alarms is achieved, and the accuracy and robustness of alarm judgment in the complex environment are effectively improved.

The invention provides a ship unmanned aerial vehicle cabin multistage fire alarm system and method based on edge computing, and the system comprises an intelligent shipborne system and a shore-based cloud system, the intelligent shipborne system is disposed in a ship cabin, and has the functions of data collection, data abnormity perception, fire monitoring and multistage early warning; the method is composed of three levels of data acquisition, edge processing and fire decision making. The shore-based cloud system is a cloud end of a shore-based system arranged on the land, has the functions of transmitting and receiving distress signals, storing remote data and tracing large fire accidents, and is composed of a communication unit, a storage unit and an alarm unit. The intelligent ship-borne system is connected with the shore-based cloud system through the satellite communication technology, infrared thermal imaging and multi-source sensing fusion is achieved, the device has the edge processing capacity, the multi-level fire judgment logic and the shore-based remote traceability function, and the device is suitable for the closed, complex and unattended ship engine room environment.

The invention provides a telecontrol fire alarm system, and the system comprises a multi-mode sensing module which is used for collecting fire characteristic parameters and environment parameters; the data processing module is used for generating a fire probability index through a data fusion algorithm; the remote communication module is used for transmitting the processed data to related equipment in the form of an encrypted data packet; the fire extinguishing control module is used for starting a corresponding graded fire extinguishing strategy according to the fire probability index; the video linkage module is used for determining a video switching priority by adopting a multi-dimensional quantitative model; the self-checking module is used for regularly carrying out integrity checking; the edge computing gateway is responsible for receiving, processing and forwarding data of each module and dynamically adjusting system parameters; according to the invention, through a multi-modal sensing and dynamic weighting data fusion algorithm, high-order derivative-based gas anomaly detection, intelligent video linkage, self-adaptive channel switching and regular self-inspection technology, the accuracy and response speed of fire detection are improved, and the reliability and safety of the system are guaranteed.

The invention discloses a remote fire alarm control system, and relates to the technical field of fire fighting equipment, the remote fire alarm control system comprises an environmental data acquisition unit, an infrared video acquisition unit, a high-definition video acquisition unit, an edge computing unit, a remote computing terminal and a smart cloud platform, through setting the edge computing unit, the computing amount of the remote computing terminal is effectively reduced, and the security of the remote computing terminal is improved. Therefore, the calculation amount of the remote calculation terminal is greatly reduced, the fire identification efficiency is improved, and the response time is shortened. A flame recognition model and a multi-modal data fusion algorithm model are integrated on a remote computing terminal, the false alarm rate is effectively reduced, meanwhile, a high-definition video collection unit is arranged to collect high-definition video images of a target area, on-site videos can be visually displayed, workers can make decisions conveniently, and the problem that when an existing fire alarm system is used, the fire alarm system is not convenient to carry is solved. The problems of high false alarm rate, response lag and lack of on-site visual video display are solved.

To enable obtaining a smoke sensor that can prevent erroneous sensing of smoke.SOLUTION: A smoke sensor (100) comprises: a smoke sensing part (50) for sensing smoke generated in a monitoring area to output a smoke sensing level indicating concentration of the sensed smoke; and a state monitoring part (20) for monitoring a state of an inner face of a flow channel (41) for allowing air in the monitoring area to pass through the smoke sensing part (50), or an object face (31) as a face of an interior of the smoke sensing part (50). The state monitoring part (20) has: a monitoring light-emitting part (21) for emitting light toward the object face (31); and a monitoring light-receiving part (22) for receiving reflected light of light emitted from the monitoring light-emitting part (21), from the object face (31) to output a light-receiving level indicating intensity of the received light as a monitoring light level.SELECTED DRAWING: Figure 2

The invention discloses an Internet of Things networking scheduling method for railway tunnel disaster prevention illumination and evacuation indication, and relates to the technical field of railway tunnel disaster prevention. Comprising the following steps: S1, tunnel end monitoring equipment actively initiates environmental channel detection through a power line carrier communication network, scans impedance characteristics, noise levels and attenuation characteristics of different line sections in a tunnel, establishes a dynamic channel fingerprint database, and records an optimal communication frequency point and a channel quality threshold; and S2, performing real-time linkage between the local center monitoring main station and a fire alarm system, and after receiving a fire alarm signal, immediately generating a dynamic evacuation path through a disaster evolution prediction model according to a fire alarm position, a smoke diffusion state and a real-time channel state. The power line carrier communication module is utilized to actively perform channel detection and electrical parameter acquisition, a state channel fingerprint database is established, and fault diagnosis and state grading are performed based on the state channel fingerprint database, so that the overall reliability and maintainability of the scheme are improved, and the availability of equipment in a disaster is ensured.

The invention belongs to the technical field of fire-fighting alarm system construction, and discloses a construction technology for a fire-fighting automatic alarm system, and the technology comprises the following steps: S1, cable laying and protection; s2, accurately positioning and installing the detector; s3, system grounding and electromagnetic protection; s4, dynamic parameter adjustment and linkage test; and S5, performing three-dimensional shape scanning and compensation correction. A stable charge release path is formed through an independent grounding system and a multi-level shielding technology, external electromagnetic interference is effectively isolated, and real-time performance and accuracy of fire alarm signal transmission are guaranteed. The spatial layout optimization of the detector is combined with a laser calibration mechanism, the influence of structural shielding and airflow disturbance on sensitivity is broken through, and millisecond-level capture and positioning of fire characteristic signals are realized. A dynamic parameter closed-loop control and multi-system linkage verification technology ensures the cooperative response efficiency of emergency equipment under extreme working conditions, and constructs a whole-process security closed loop from early warning to disposal.

The invention discloses a remote video intelligent analysis and fire alarm system for a wind power photovoltaic station, relates to the technical field of video analysis, and solves the problem of insufficient comprehensiveness of a mode of identifying abnormity by adopting a single threshold value or a simple image difference method. According to the method, different recognition modes are executed based on the brightness difference, if the brightness difference is large, verification analysis is performed on the value difference characteristics of adjacent pixel points, and the abnormal pixel points existing in each array are calibrated in sequence based on the actual verification processing result, so that the corresponding abnormal contour is quickly locked in the state that the brightness is changed, and the accuracy of the abnormal contour is improved. If the brightness difference is small, difference processing of pixels at the same position is directly carried out on the two sets of frame pictures, the abnormal contour is directly locked, and the classification processing mode can effectively guarantee that abnormal features can be rapidly locked in different brightness environments, and the comprehensiveness in the video analysis process is guaranteed.

The invention, which belongs to the technical field of fire protection, provides a comprehensive management system for fire protection and security, and the system comprises a plurality of fire-fighting sensing devices which are respectively arranged at different fire-fighting sites and are used for collecting video image data of the different fire-fighting sites; the server is in communication connection with the plurality of fire-fighting sensing devices, and is used for performing time synchronization processing on the video image data acquired by the plurality of fire-fighting sensing devices, fusing the synchronized video image data to obtain a fused image, extracting a region of interest in the fused image, and sending the extracted region of interest to the fire-fighting sensing devices; identifying a risk level of a fire corresponding to the region of interest, and sending an early warning instruction when the risk level exceeds a first preset level; and the monitoring terminal is in communication connection with the server and is used for giving an alarm based on the early warning instruction. The technical problems that an existing fire alarm system is prone to false alarm and low in fire recognition precision can be solved.

The invention provides a fire source identification and positioning method and system based on an infrared image and a visible light image, and relates to the technical field of fire fighting, and the method comprises the steps: monitoring the fire occurrence condition of a charging place through a fire alarm system, continuously obtaining the infrared image and the visible light image of the charging place, and carrying out the preprocessing; analyzing the light flow characteristic of the infrared image and the contrast ratio of the visible light image to generate a hot air flow identification coefficient, and dividing the high-temperature fire area into a hot air flow area and a fire source area through the hot air flow identification coefficient; the flicker condition of the fire source is researched, and flicker grades are divided; dividing the fire source into a lithium battery fire source, an electrical equipment fire source and other fire sources according to the flicker grade and the color characteristic; camera parameters are obtained, and the fire source is positioned according to the camera parameters and the position coordinates of the fire source. The fire source and the hot air flow can be accurately distinguished, and the fire source positioning precision is improved; the fire source type can be accurately identified, and making of a more professional and targeted fire extinguishing strategy is helped.

The invention relates to the technical field of early warning management platforms, and particularly discloses a whole-plant comprehensive early warning management platform and method based on multi-source heterogeneous data fusion, and the platform comprises an image data collection layer, a data governance layer, an early warning analysis layer, an application interaction layer, and a safety protection layer. The image data acquisition layer covers data of the DCS system, the NCS system, the field inspection system, the fire alarm system, the video monitoring system and the intelligent monitoring system; the early warning analysis layer realizes alarm grading through a three-stage process of weight calculation, severity evaluation and score correction; and the application interaction layer is linked with the early warning analysis layer, a differential push strategy is triggered according to an alarm level, and the security protection layer meets the requirements of national energy group network security level protection of three levels or above. The core technical scheme (such as data atlas construction logic, an early warning algorithm model and a safety protection mechanism) of the method is not limited to specific unit types, and can be flexibly adapted to different types of thermal power projects such as gas turbines and coal-fired units with the capacity of 300MW-1000MW.

The invention discloses an information security defense method and device for an automatic fire alarm system, and relates to the technical field of intelligent fire-fighting quantum security, and the method comprises the steps: calculating a normalized coupling coefficient based on a dynamic light stripe vector and a current attenuation rate, outputting a security certification mark when the normalized coupling coefficient is in a security interval, and outputting a security certification result when the normalized coupling coefficient is in the security interval; a network attack early-warning signal is generated in the lower security interval, and a physical tampering fusing signal is generated in the higher security interval; a normal alarm path is maintained according to the safety certification mark, an external communication port is closed according to the network attack early warning signal, the monitoring density is enhanced, electrochemical reaction is triggered according to the fusing signal to corrode the specific metal line, the sound-light alarm device is activated, and a fusing feedback state is generated. According to the invention, through electrochemical fusing and quantum unclonable certificate generation, active defense and identity authentication under physical layer attack are realized, and the information security protection capability and recovery capability of a fire alarm system are improved.

The invention relates to the technical field of environment control and multi-system cooperative linkage of flight simulation training equipment, provides a full-motion simulator environment intelligent joint control method, system and equipment and a storage medium, and solves the problems of low intelligent level and poor emergency response efficiency of multi-system cooperative control. The method comprises the following steps: acquiring operation data and basic environment parameters of each subsystem in an environment joint control system in real time through a multi-dimensional environment sensing network, carrying out fusion and state analysis, and identifying security abnormity, smoke simulation triggering or subsystem faults; when the abnormal signal is recognized, generating a corresponding linkage control instruction by using a logic control algorithm, and issuing the instruction to external systems such as a power supply, a gallery bridge, a movement system, a fire alarm system and the like and an IOS teacher platform through a cross-system joint control mechanism; the system receives an external feedback signal in real time, dynamically adjusts a cooperative control strategy, and constructs a closed-loop intelligent joint control system. According to the invention, the intelligent level and the emergency response efficiency of multi-system cooperative control are improved.

The invention provides an automatic fire alarm system maintenance management method, system and device and a storage medium, and relates to the technical field of safety management, and the method comprises the steps: obtaining the first position information and environment information of a target detector in an automatic fire alarm system of a chemical plant; determining the importance level of the target detector according to the first position information, and determining a first inspection plan of the target detector according to the importance level; acquiring working parameters of the target detector, and generating an attenuation coefficient of the target detector in combination with the environment information and the working parameters; adjusting the first inspection plan according to the attenuation coefficient to generate a second inspection plan; and obtaining a third inspection plan and second position information of the associated detector of the target detector, adjusting the second inspection plan in combination with the third inspection plan and the second position information, and generating a target inspection plan of the target detector. The technical effect of the invention is that the utilization efficiency of inspection resources is improved.

The invention relates to the technical field of photovoltaic power station fire fighting, and discloses a distributed photovoltaic power station fire fighting alarm system based on big data. A data acquisition module of the system collects real-time operation data, environment monitoring data and thermal imaging data of a photovoltaic module; the hot spot identification module identifies a potential hot spot area and an abnormal temperature rise trend in combination with multiple types of data; the risk range determination module determines component-level, string-level and unit-level thermal risk influence ranges based on the topological knowledge graph; the monitoring area division module divides a global monitoring area and a local fine monitoring area according to a risk range and a fire-fighting specification; and the risk prediction and alarm module performs fire risk prediction based on the monitoring area data and generates graded alarm information. According to the system, through multi-source data fusion, accurate risk definition, monitoring layout optimization and graded alarm, the comprehensiveness and timeliness of distributed photovoltaic power station fire-fighting monitoring are improved, and the operation safety of the power station is guaranteed.

1. The name of the design product: graphical user interface of configuration gas fire extinguishing controller and fire alarm controller for electronic equipment. 2. The use of the design product: for electronic equipment. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best shows the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: adjustment configuration of functions of the fire alarm system. 7. The human-computer interaction mode of the graphical user interface: design 1 front view shows the interface of the new device of project programming of the fire alarm system, by clicking the drop-down arrow of the "device type" column box, design 1 change state diagram 1 is entered to select the device type; after selecting the device type, by clicking the "new" button in design 1 front view, design 1 change state diagram 2 showing the "controller" module is entered. Design 2 front view shows the interface of the "loop" module of project programming of the fire alarm system, by clicking the "point view" button on the right side of an item, design 2 change state diagram is entered. Design 3 front view shows the interface of the "controller" module of project programming of the fire alarm system, by clicking the "gas extinguishing controller" button, design 3 change state diagram is entered. Design 4 front view shows the interface of the "linkage logic" module of project programming of the fire alarm system, by clicking a check box in "zone A", design 4 change state diagram 1 is entered; by selecting "linkage equation" in the column box below "linkage mode", design 4 change state diagram 2 is entered; by clicking the "details" on the right side of a label (for example, general linkage equation 001), design 4 change state diagram 3 is entered. Design 5 front view shows the interface of the "main mapping list" module of "Modbus" of project programming of the fire alarm system, by clicking the "backup mapping list" button, design 5 change state diagram is entered, and design 5 front reference diagram is used to show that design 5 front view can have a drop-down interface. Design 6 front view shows the interface of the "database upgrade and download" module of the connected device of the fire alarm system, by clicking the "upgrade controller firmware" button, design 6 change state diagram 1 is entered; by clicking the "history record export" button, design 6 change state diagram 2 is entered. 8. Other circumstances that need to be explained: other views are omitted. The symbol "X" in the interface views of design 1 to design 6 indicates that the content such as text, symbol, icon, etc. can be changed or replaced.

1. The name of the design product: fire detector relay. 2. The use of the design product: for realizing the connection and signal relay function of fire alarm system components. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The utility model discloses a wireless fire alarm communication integrated module group for an electrical cabinet and an electric control cabinet. The module group comprises an air sampling detector, a power supply module, a 5G module group gateway, a sampling pipe and a hole joint. A standard hole is formed in the top or the side face of a corresponding electrical cabinet or control cabinet, a connector with a rubber gasket is fixed to a cabinet body, the sampling pipe is screwed into the electrical cabinet through connector threads, the sampling pipe extends into the electrical cabinet body, and the other side of the sampling pipe is inserted into an air sampling detector. The system is suitable for places which are not covered by a centralized fire alarm system, and for an electrical cabinet and an important process equipment control cabinet, the independent air sampling fire alarm detector is arranged, the 5G module and the gateway are used for accessing a 5G industrial internet private network, and wireless data communication of fire alarm signals is realized. Through the standardized modules and the slot type standardized modules, modularized, standardized and rapid efficient installation is achieved.

The invention discloses an inspection method, system and device for a fire alarm system, relates to the technical field of fire safety, and solves the technical problems of low inspection efficiency and resource waste caused by the fact that a fixed period polling mode is generally adopted in the prior art, a large amount of redundant communication is generated, and system bandwidth and computing resources are occupied. A to-be-queried queue is constructed based on a state response result; generating an inspection result in an instruction sending mode based on the state type in the queue to be queried; based on the real-time load and the load change trend of the to-be-queried queue, an inspection cycle is generated in a self-adaptive mode, lightweight state response results of all fire-fighting components are rapidly obtained through the variable inspection cycle, then the to-be-queried queue is constructed only for the components with the state changed, and refined detailed state query is carried out. And finally, the next inspection period is dynamically and adaptively generated according to the load condition of the queue, so that the generation of redundant data is eradicated from a communication mechanism, and the problems of low inspection efficiency and resource waste are solved.

The utility model provides a fire smoke blocking device for a ship, and relates to the technical field of ship manufacturing, the fire smoke blocking device for the ship comprises a smoke tight door, an electromagnetic releaser, a fixing frame, a fire alarm system and an electric control assembly, the smoke tight door is provided with a door closer, and the smoke tight door comprises a door frame, a door leaf and a hinge; the electromagnetic releaser comprises a fixed part and a movable part, the movable part is fixed to the surface of the door leaf and is far away from the hinge, and when the smoke tight door is in an open state, the fixed part and the movable part are magnetically attracted and fixed; the fixing frames are fixed to the two sides of a door frame, and the fixing parts are fixed to the fixing frames. The fire alarm system is used for detecting a fire and sending out a fire signal; the electric control assembly is used for receiving fire signals and controlling the electromagnetic releaser, the electric control assembly comprises a power supply, a central controller and a manual controller, and the fire alarm system is electrically connected with the central controller. The electric control assembly releases the electromagnetic releaser after receiving a fire signal, and the electromagnetic releaser is automatically closed by means of the door closer, so that the response speed of smoke blocking is increased.

The invention provides a smoke and fire alarm system for a railway vehicle, a plurality of side plates extending in the height direction are mounted on the side wall of the railway vehicle, the plurality of side plates are connected in sequence, and an air return duct is defined by the side plates and the side wall; the alarm system comprises an alarm which is installed on the upper side of an air outlet of an air return duct adjacent to an air return opening of the air conditioning unit in the longitudinal direction and is suitable for triggering the alarm to give out a smoke and fire alarm under the condition that smoke dust is mixed in airflow flowing to the alarm; the filtering part is mounted near the air outlet of the air return duct and is suitable for filtering dust mixed in airflow flowing through the air return duct so as to reduce the amount of dust attached to the surface of the alarm; and the air speed adjusting part is installed in the air return duct and located on the lower side of the filtering part, and the air speed adjusting part is constructed to adjust the flow speed of airflow flowing to one side of the filtering part in the air return duct so as to be matched with the flow speed of the airflow needed for triggering the alarm.

The present application relates to the technical field of early warning management platform, and specifically discloses a multi-source heterogeneous data fusion full-plant comprehensive early warning management platform and method, which comprises an image data acquisition layer, a data management layer, an early warning analysis layer, an application interaction layer and a security protection layer; the image data acquisition layer covers DCS system, NCS system, field inspection system, fire alarm system, video monitoring system and intelligent monitoring system data; the early warning analysis layer realizes alarm grading through three-level processes of weight calculation, severity evaluation and score correction; the application interaction layer is linked with the early warning analysis layer, and triggers a differentiated push strategy according to the alarm level; and the security protection layer meets the requirements of the third level and above of the national energy group network security level protection. The core technical scheme (such as data graph construction logic, early warning algorithm model and security protection mechanism) of the present application is not limited to a specific unit type, and can be flexibly adapted to different types of thermal power projects such as 300MW-1000MW capacity gas turbines, coal-fired units, etc.

The application provides a fire control method and device and electronic equipment, and relates to the technical field of nuclear power, and the method comprises the following steps: in the case that a fire alarm signal sent by a fire detector is received by a fire alarm system, the fire alarm system is used to send the fire alarm signal to a distributed control system (DCS); the fire alarm system is used to receive a device state control instruction sent by the DCS based on the fire alarm signal; and the fire alarm system is used to control the fire equipment to execute a fire operation indicated by the device state control instruction, wherein the fire equipment is the fire equipment indicated by the device state control instruction. According to the application, the fire alarm system is used to control the fire equipment to execute the fire operation, the fire alarm system can execute corresponding fire operations according to the device state control instruction of the DCS, and the fire safety of the nuclear power plant can be improved.

The invention discloses an integrated fire-fighting emergency linkage control system which comprises a data acquisition module, an evaluation analysis module, a linkage strengthening module and a feedback training module. The data acquisition module acquires operation data of a fire control room, an automatic fire alarm system and a linkage subsystem in real time through a multi-type sensor and a protocol conversion engine, and ensures that the time synchronization error is less than or equal to 1 microsecond; a four-dimensional evaluation model is built in the evaluation analysis module, the timeliness, integrity, compliance and normalization of operation behaviors are quantitatively evaluated by combining an analytic hierarchy process, and operation conflicts are processed through a rule engine; the linkage strengthening module executes control such as fire alarm timeout automatic alarm and misoperation locking based on the evaluation result; the feedback training module pushes personalized training content by means of digital twinning replay operation, the system forms closed-loop logic, and normalization and safety of fire emergency operation are improved.

The fire alarm system according to an embodiment of the present invention may comprise multiple first sensing units and multiple repeaters including a first repeater. The multiple first sensing units and the multiple repeaters may operate in a fire retransmission mode or a communication inspection mode in which same divide the time into multiple first time sections and operate accordingly. The communication inspection mode may comprise: a first interval in which the first repeater transmits a communication inspection command to the multiple first sensing units at a preset time; multiple second intervals in which the multiple first sensing units successively transmit response signals to the communication inspection command, respectively; and multiple third intervals in which the first repeater and the multiple first sensing units transmit pieces of data, respectively.

The invention is a method for automatically identifying a fire alarm system (10) connected to a transmission line (14) by evaluating so-called floor plan data on the one hand and measuring along the transmission line (14) on the other hand.

Embodiments of the present application provide a fire alarm control circuit for a rail vehicle, a safety loop system, and a rail vehicle. When a first network is normal, a fire alarm test signal is output to a fire alarm controller, and the fire alarm controller performs a fire alarm test on the basis of the fire alarm test signal. When a test result of a fire alarm test circuit is normal and a second network is normal, a fire alarm activation circuit is activated, wherein the fire alarm activation circuit comprises a second network module and a fire alarm control relay. When the fire alarm activation circuit is activated, normally open contacts of the fire alarm control relay are closed, and self-locking contacts of a fire alarm relay are powered and self-locked. In this way, testing and activation before fire monitoring are completed, making preparation for a fire alarm system to subsequently enter a working state. Additionally, when a fault occurs in the test of the fire alarm system, a fault condition can be known in a timely manner, and the activation of the system can be suppressed in a timely manner, thereby reducing the impact on other systems affected by fire alarm signals, increasing safety coefficients of rail vehicles, and providing a guarantee for the safe operation of trains.