786 results about "Fire protection" patented technology

The invention relates to the technical field of transformer substation intelligent management, in particular to a modular prefabricated cabin transformer substation intelligent comprehensive management system with a multi-source data integration and collaborative management function. Comprising a multi-source data acquisition unit; the edge intelligent processing unit is used for carrying out local preprocessing, feature extraction and abnormal early warning on the acquired multi-source heterogeneous data of the transformer substation, and realizing data noise reduction, abnormal recognition and equipment health degree evaluation through a lightweight AI algorithm and a hybrid communication protocol carried by the edge computing terminal module; and a data integration collaboration unit. According to the invention, through an adaptive sampling strategy and a multi-modal feature fusion mechanism of the multi-source data acquisition unit, multi-dimensional data such as electric power parameters, power environment, fire protection and security protection and the like are incorporated into a monitoring system, feature layer association analysis is realized by depending on a Jousseme distance and a Dempster synthesis rule, the assessment limitation of single equipment and single-dimensional data in a traditional scheme is broken through, and the method has the advantages of high reliability and high reliability. And a more comprehensive state basis is provided for equipment health degree research and judgment.

The invention relates to the technical field of intelligent fire fighting, in particular to a building electrical fire identification method and system based on multi-source information fusion, and the method comprises the steps: firstly collecting the multi-source monitoring data of an electrical system in real time, then carrying out the preprocessing of the multi-source data, including noise filtering, time alignment and feature extraction, and constructing a dynamic weight fusion model; the weight of each data source is adaptively allocated based on the feature entropy, then fusion features are input to the fire risk grading model, a fire probability index and an early warning level are output, and when the early warning level exceeds a threshold value, a linkage control instruction is triggered and an alarm is given; according to the method, through dynamic fusion of multi-source information, the electrical fire identification precision is remarkably improved, multi-dimensional parameters such as current, temperature, smoke and arc are adaptively integrated by adopting an entropy weight assignment mechanism, the problems of false alarm and missing alarm of traditional single-threshold detection are solved, the missing alarm rate and the false alarm rate are remarkably reduced, and the reliability of fire early warning is ensured.

The invention discloses a building fire-fighting automatic verification and evacuation path verification system based on a rule engine, and relates to the technical field of building fire-fighting intellectualization. Comprising the steps that a rule generation module analyzes a fire-fighting standard text and generates an executable rule set; the model analysis module is used for extracting component attributes and a spatial topological relation from the building information model; the real-time sensing module collects environment state data. The rule engine module matches the component attributes with the executable rule set to generate a first verification result; spatial topology and real-time sensing data are fused, the dynamic passing weight of each path segment is calculated, and an evacuation path network model is constructed. The path verification module verifies the safety of a path from a preset point to an exit based on the model, and generates a path verification result. And the result generation module outputs fire-fighting compliance data. According to the invention, through the dynamic optimal evacuation path planning from the static fire-fighting standard examination of the building design to the occurrence of the disaster, the guarantee capability and the emergency response efficiency of the building fire-fighting safety are improved.

The embodiment of the invention provides a converter station fire-fighting digital management and control system, and the system comprises a converter station data processing module, a fire-fighting daily management module, and a fire-fighting emergency processing module, and the converter station data processing module is used for obtaining the fire-fighting internet-of-things data of a converter station, and transmitting the fire-fighting internet-of-things data to the fire-fighting daily management module. Performing abnormal data detection on the acquired fire-fighting internet-of-things data by using an abnormal data detection model; the fire-fighting daily management module is used for performing fire-fighting daily management on the converter station according to the fire-fighting internet-of-things data of the converter station; and the fire-fighting emergency processing module is used for determining the converter station with a dangerous case or a dangerous case trend according to at least one of the fire-fighting internet-of-things data of the converter station and the management result of the fire-fighting daily management module, and performing fire-fighting emergency processing on the converter station with the dangerous case or the dangerous case trend. Therefore, the digital fire-fighting management and control capability of the converter station is enhanced, and the accuracy and effectiveness of fire-fighting safety management and control of the converter station are improved.

The invention belongs to the technical field of fire-fighting facility control and management, and discloses a fire-fighting facility full-life-cycle intelligent operation and maintenance management control system. Comprising the following steps: acquiring real-time field state data; in a non-fire state, executing an active excitation and response test to obtain dynamic response data; processing the field state data and the dynamic response data by adopting an end-to-end multi-task learning framework, and outputting a structured diagnosis result containing the health states of the pump set, the valve and the pipe network; establishing an initial health baseline of each key device, and dynamically generating a self-adaptive alarm threshold value; a quantitative risk level is generated in combination with the fire safety level, and an operation and maintenance strategy instruction containing pilot operation and maintenance parameters is generated; main and standby equipment switching and strong health detection are automatically executed, and the fire protection function is preferentially guaranteed when a fire alarm or a manual forcing instruction is received; and executing grading alarm according to the quantitative risk grade. And intelligent operation and maintenance management control of the whole life cycle of fire-fighting equipment is realized.

The invention relates to the technical field of intelligent monitoring of fire-fighting equipment, in particular to a fire-fighting pipe fitting connector leakage real-time alarm system based on a gas sensor, which comprises the following steps of: acquiring concentration data of various gases by arranging a sensor array, comparing the concentration data with an environmental background feature library by utilizing a background noise suppression algorithm, and determining the leakage of the various gases; and after interference is filtered, an effective leakage characteristic signal is generated. The signal is analyzed through a multi-dimensional leakage evaluation model, and leakage confidence, intensity and preliminary positioning are obtained. And in combination with a fire-fighting pipeline topological structure, the system deduces a leakage influence range and estimates pressure loss, and finally triggers a grading alarm mechanism to generate a composite alarm instruction including grades, positions, influence areas and disposal suggestions. According to the system, false alarms caused by environmental interference can be reduced, the influence range of a leakage event is pre-judged in advance, and the alarm accuracy and the emergency disposal pertinence are improved.

The application discloses a kind of based on deep learning's cable over fire maximum temperature fast nondestructive prediction method, it is related to bridge post-fire safety evaluation technical field.The method obtains the apparent image data of cable anticorrosion-fire protection system at different temperatures by various fire tests, and constructs special data set after shunt pretreatment;Innovatively, a double-branch weight sharing prediction model based on ConvNeXt-Tiny is constructed, the state characteristics of cable flame-retardant sealant layer and anticorrosion layer are extracted by two parallel branches respectively, deep representation learning is carried out by feature fusion and shared backbone network, and finally high-precision parallel prediction of double temperature parameters is realized by two ordered classification prediction heads;Using transfer learning strategy and hybrid loss function for training, the prediction accuracy and generalization ability are significantly improved;Finally, a visual window is developed to realize the fast nondestructive evaluation of cable over fire temperature without disassembly and sensor.The method provides reliable technical support for post-fire safety performance evaluation of bridge cable.

The embodiment of the invention discloses a fire hydrant system schematic diagram generation method and device of a three-dimensional model and a medium, and relates to the technical field of fire fighting, and the method comprises the steps: obtaining a target schematic diagram generation parameter triggered by a user through a preset graphical user interface, the target schematic diagram generation parameters comprise a target fire hydrant system, a takeover mode and annotation setting parameters; according to the target fire hydrant system, instance extraction is carried out in a pre-obtained building three-dimensional model, and multiple target fire hydrant instances and fire hydrant attribute information corresponding to each target fire hydrant instance are determined; traversing each connecting pipeline in the building three-dimensional model on the basis of the connecting pipeline set, executing pipeline merging and connecting operation on the basis of the target fire hydrant entity, and determining a plurality of functional pipeline sets; and generating a pipeline topological graph through the multiple functional pipeline sets, the pipe connection modes and a preset drawing rule, setting the pipeline topological graph based on the annotation setting parameters, and generating a corresponding fire hydrant system schematic diagram.

The invention relates to the technical field of intelligent fire protection of a thermal power plant, and discloses an intelligent fire smoke detection method and system for intelligent fire protection of the thermal power plant, and the method comprises the steps: collecting a video stream of a fire protection monitoring region through video monitoring disposed in the fire protection monitoring region of the thermal power plant, and extracting a video frame in the video stream; performing spatial texture feature extraction and time change feature extraction on the video frames to obtain a fire smoke spatial texture feature map and a fire smoke time change feature map; performing feature fusion on the fire smoke space texture feature map and the fire smoke time change feature map to obtain fire smoke fusion features; identifying the fire smoke fusion feature through a pre-trained fire smoke identification model to determine a fire smoke identification result and identification confidence of the fire-fighting monitoring area; and acquiring sensor data acquired by a fire-fighting sensor deployed in the fire-fighting monitoring area, and determining a fire smoke detection result of the fire-fighting monitoring area based on the fire smoke identification result, the identification confidence and the sensor data.

The invention relates to the technical field of building fire protection, in particular to an intelligent smoke exhaust device based on shape memory alloy and a smoke exhaust method.The intelligent smoke exhaust device comprises a window frame installed on a wall and a grating plate embedded into the window frame, and the grating plate is manufactured by laser etching of a shape memory alloy matrix with a preset crack pattern; and a heat reflection coating is arranged on the surface of the grating plate. When no fire occurs, the grating plate is in a sealed state, and no gap exists; when a fire disaster occurs, the indoor temperature rises rapidly, when the temperature rises to 90 DEG C and reaches the deformation temperature of the memory alloy, deformation begins, cracks are opened after the grating plate deforms, the preset cracks are distributed in a radial mode after being opened, a smoke exhaust channel is generated, and indoor smoke dust is exhausted. The method has the technical effects of high response speed and no need of manual reset.

The utility model provides a fire safety monitoring system, and belongs to the technical field of fire protection. The fire safety monitoring system comprises a smoke detection module, a temperature detection module, an infrared thermal imaging module, a control module, a switch module and a fire extinguishing module, the smoke detection module, the temperature detection module and the infrared thermal imaging module are all connected with the control module; the switch module is connected with the control module and the fire extinguishing module. The smoke detection module is configured to detect the smoke concentration in the environment; the temperature detection module is configured to detect the temperature in the environment; the infrared thermal imaging module is configured to position a fire source; the control module is configured to receive detection information of the smoke detection module, the temperature detection module and the infrared thermal imaging module and control the fire extinguishing module according to the detection information. The fire detection precision can be improved.

The invention discloses a fire alarm inspection system and method based on big data, and relates to the technical field of intelligent fire protection and public safety. The problems that a traditional fire fighting system is serious in data island phenomenon, single in risk perception dimension, static and rigid in early warning model, high in false alarm rate and low in inspection efficiency are solved. According to the method, a fire-fighting theme database is constructed, and based on a multi-dimensional dynamic analysis model, comprehensive analysis of space aggregation risks, time sequence evolution trends and equipment linkage logic is realized, and dynamic fire danger hidden danger indexes are calculated; a key monitoring object is positioned through a visual thermodynamic diagram, grading alarm is triggered, differentiated inspection tasks and an optimal route are generated based on the intelligence, and emergency disposal linkage is supported; closed-loop management from global risk perception, intelligent analysis and early warning to precise inspection treatment is realized, and early recognition and early warning accuracy and resource scheduling efficiency of fire hazards are remarkably improved.

The invention discloses a temperature on-line monitoring and early warning system for fire protection clothing, which relates to the technical field of fire protection monitoring and early warning and comprises a data collection module, a data preprocessing module, a calculation processing module and an early warning execution module. Wherein the calculation processing module comprises a dynamic temperature risk unit, a comprehensive environment risk unit and a safety prediction unit. The dynamic temperature risk unit fuses temperature, a safety threshold value, a change rate, material aging, humidity and a heat reflection attenuation coefficient, outputs a dynamic temperature risk coefficient and reflects a safety margin, and the comprehensive environment risk unit introduces gas concentration, the number of hazardous articles, smoke attenuation and an action intensity coefficient based on the dynamic temperature risk coefficient, constructs an environment coupling risk index, and finally performs the safety analysis on the environment coupling risk index. And the safety prediction unit integrates a basic safety time constant, an environment coupling risk index, a dynamic temperature risk coefficient, a heat flux density and an oxygen concentration correction coefficient, outputs a residual safety time prediction value, and guides an evacuation decision of a fireman.

A device and method of protecting and installing a fire protection sprinkler. The protective device is embodied as a tubular cap that axially receives the sprinkler. The protection and installation device includes an internal gripping portion for engaging the sprinkler. The protection and installation device includes a wall that maintains its geometry before receiving the sprinkler the same after receiving the fire protection sprinkler. Moreover, the protective installation device maintains its geometry constant to sufficiently torque the sprinkler into a fitting for installation.

The invention relates to the crossing field of computer technology and intelligent security protection and fire fighting, discloses a security protection and fire fighting integrated linkage method and system based on multi-dimensional perception, and aims to solve the problems of data isolation, single perception dimension, linkage response lag and difficulty in studying and judging compound risk events of a security protection and fire fighting system in the prior art. The method comprises the following steps: fusing security and protection, fire protection and three-dimensional space structure data, and constructing a unified space-time situation map; identifying an abnormal event cluster by using a graph neural network, and judging an event type through a multi-modal classifier; and predicting an event evolution trend in combination with a risk propagation model, dynamically generating an integrated co-processing instruction set, and driving linkage execution of security and fire fighting equipment. The system comprises a multi-dimensional perception acquisition module, a data fusion module, an intelligent research and judgment module, and a strategy generation and linkage execution module. According to the method, deep data fusion, accurate composite event identification, risk active prediction and closed-loop cooperative processing are realized, and the intelligence and cooperative efficiency of safety response are remarkably improved.

A fire protection element can be used for sealing a combustible body, which penetrates an opening in a wall or ceiling, in the event of a fire. The fire protection element has a belt- shaped carrier from the edge of which tongues protrude transversely to the longitudinal direction of said carrier. The tongues are connected to the belt-shaped carrier, at least a significant proportion of the tongues are formed of a bimetal, and the tongues can move in one direction under the effect of heat. A fire protection material is applied to at least one side of the tongues. Furthermore, a method can be used for sealing a combustible body, which penetrates an opening in a wall or ceiling, in the event of a fire.

The invention relates to the technical field of intelligent fire protection and big data analysis, and discloses a knowledge graph construction and association analysis method and system for fire protection supervision and communication global data. In order to solve the technical problems of heterogeneous fire-fighting data and single association, the invention provides a domain ontology-driven knowledge graph automatic construction and deep analysis method. The core innovation of the method is that a multi-source heterogeneous data fusion model is adopted to unify semantic representation of multi-modal data such as fire-fighting documents and Internet of Things perception; performing entity relationship joint extraction by utilizing the pre-training model, and efficiently constructing a fire-fighting knowledge graph of massive triples; and a graph neural network is introduced to carry out deep association mining and reasoning, a risk conduction path is quantitatively evaluated, and potential threats are predicted. According to the invention, discrete fire-fighting data is improved into a computable and reasonable knowledge system, and deep perception and intelligent decision-making of a fire-fighting safety situation are realized.

The invention discloses an accurate positioning Fourier hazardous chemical substance detection method, detection equipment comprises a transport vehicle, an unmanned aerial vehicle and a Fourier infrared instrument, the Fourier infrared instrument is connected with the unmanned aerial vehicle, and the unmanned aerial vehicle is erected above the transport vehicle. The invention belongs to the technical field of hazardous chemical substance detection, particularly provides a key carrier for converting an unmanned aerial vehicle technology into hazardous chemical emergency monitoring, solves the problem of leakage tracing in a complex environment through space scanning strategy innovation and multi-physics field coupling modeling, is suitable for the fields of environmental protection, safety supervision, fire protection and the like, and has a wide application prospect. According to the Fourier hazardous chemical substance detection method, the detection efficiency is improved, and the space positioning error is small.

Disclosed is a battery module capable of effectively preventing the occurrence or spread of a fire. The battery module according to an aspect of the present invention includes a battery cell assembly including a plurality of secondary battery cells stacked together, and a module case having a lower plate, side plates, and an upper plate to form an internal space in which the battery cell assembly is accommodated, and including a trapping portion each formed in at least a portion of an outwardly recessed inner surface of each of the side plates, the trapping portion being formed to be offset to a front side or a rear side.

A fire protection collar for a pipe has a belt package at least in part having an intumescent material, a first and a second closure element. The first closure element is arranged at a first end of the belt package and the second closure element is arranged at a second end of the belt package opposite the first end. The first closure element and the second closure element can be fastened together in such a way that the belt package forms a substantially closed contour. The belt package has a package length between the first end and the second end of the belt package and is exposed at least in part along the package length.

The invention discloses a fire protection method and system for an energy storage container, and the method comprises the steps: inquiring a fire detector in the energy storage container, judging whether a dangerous case occurs in different regions in the energy storage container or not, and transmitting an alarm signal back to a protection control panel when the dangerous case is detected; and continuously judging whether the vehicle is in a controllable dangerous case state, and carrying out alarming, exhausting, closing or fire extinguishing operation based on the current operation mode, the dangerous case occurrence area and the button state. According to the invention, dangerous case states of a conventional area and a battery cluster area in the energy storage box are monitored in a multi-dimensional manner through a plurality of groups of detectors with different functions and different positions, and alarming, exhausting, closing or fire extinguishing operation is carried out based on a current operation mode, a dangerous case generation area and a button state. And switching control of a manual mode and an automatic mode can be carried out through the mode switching button, stable and reliable fire safety protection can be provided for the energy storage container, and the risk of fire occurrence is effectively reduced.

The invention discloses a lithium battery energy storage power station fire protection monitoring and early warning method based on PACK-level two-fluid fire protection, belongs to the technical field of energy storage battery safety, and realizes comprehensive efficiency improvement through multi-level cooperative operation. According to the monitoring level, a cluster-level hydrogen sensor is used for capturing a thermal runaway early signal, complementary monitoring is formed in cooperation with a cabin-level multi-type sensor, accurate positioning and early warning of a fault pack are achieved while sensor configuration is simplified, and therefore invalid monitoring and potential safety hazards are reduced. A pack-level double-fluid system is innovatively adopted in the fire-fighting level, the synergistic effect of gas and water is combined, the fire extinguishing efficiency and equipment protection are both considered, and the limitation of a traditional single fire extinguishing mode is avoided; and meanwhile, a cluster-level and cabin-level grading fire-fighting mechanism is constructed, corresponding equipment is started according to early warning level differentiation, and excessive consumption of a fire extinguishing agent and scrapping loss of normal batteries are reduced. In addition, through dynamic monitoring and closed-loop control in the fire fighting process, it is ensured that fire extinguishing treatment is thorough and not excessive.

The invention provides a transformer substation stabilized pressure pump control cabinet which is characterized in that main and standby stabilized pressure pumps in redundant design are controlled after an electric contact pressure gauge in a transformer substation fire-fighting pipe network is connected, and a master control loop, a main pump control loop and a standby pump control loop are arranged in the transformer substation stabilized pressure pump control cabinet; the master control loop controls the switching of the main pump or standby pump control loop according to the pressure data of the electric contact pressure gauge; and when the main pump or standby pump control loop is switched on, counting all starting times of the positive operation stabilized pressure pump, comparing the starting times with a corresponding preset threshold value, maintaining the operation of the positive operation stabilized pressure pump, or controlling and switching the switching of the non-switched control loop to take over, and enabling the non-operated stabilized pressure pump to start for replacement. The main pump control loop and the standby pump control loop respond to switching control of the master control loop respectively, and start and stop control is conducted on the main stabilized pressure pump and the standby stabilized pressure pump. According to the invention, not only can the overused stabilized pressure pump be automatically switched, but also the on-off of the stabilized pressure pump can be controlled based on the pressure data of the electro connecting pressure gauge.

The utility model relates to the technical field of pipeline connection anti-leakage, in particular to an anti-leakage device of a heating, ventilation and fire fighting system, which comprises two pipelines, flanges are arranged on the pipelines, the two flanges are connected through a first bolt, a groove is arranged at the end of each pipeline, a first sealing ring is arranged in each groove, and sealing covers are sleeved outside the two flanges. A jacking mechanism is arranged on the sealing cover; the jacking and pressing mechanism is used for jacking and pressing the two flanges and pressing the first sealing ring between the two flanges. Through cooperation of the sealing cover and the jacking mechanism, extra pressure can be applied to the two flanges, the first sealing ring is further pressed, the sealing effect is enhanced, and the anti-leakage performance of the connecting position is remarkably improved; the structure is simple, installation can be achieved without complex operation, the problem of leakage caused by aging of a sealing piece and loosening of a connecting piece in traditional pipeline connection is solved, resource waste can be reduced, the equipment damage probability can be lowered, and stable operation of a heating, ventilation and fire fighting system is guaranteed.

The invention relates to the technical field of fire fighting, in particular to a self-adaptively adjustable fire-fighting tank auxiliary fire extinguishing device for safety engineering, which comprises a fire extinguishing tank and an injection pipe mounted at one end of the fire extinguishing tank, a nozzle is detachably mounted at one end of the injection pipe, and a core plate is fixedly arranged on the inner wall of the nozzle. A stage adjusting mechanism is arranged in the spray head and comprises a threaded barrel fixedly arranged on the outer wall of the injection pipe in a sleeving mode, the outer wall of the threaded barrel is in threaded connection with an adjusting sleeve, a movable frame is slidably arranged in the spray head in the vertical direction in a penetrating mode, and the top end of the movable frame abuts against the bottom end of the adjusting sleeve; according to the fire-fighting tank auxiliary fire extinguishing device, through flexible switching of a mist spraying mode and a columnar spraying mode, the fire-fighting tank auxiliary fire extinguishing device is suitable for various fire extinguishing scenes, the applicability of the fire-fighting tank auxiliary fire extinguishing device is effectively improved, a worker can conveniently and rapidly complete adjustment operation in an emergency fire, and the practicability is high. And the convenience of fire-fighting operation of safety engineering is further improved.

The utility model relates to the technical field of fire protection and smoke exhaust, in particular to a fire protection and smoke exhaust ventilator with an air filtering function, which comprises a smoke exhaust ventilation pipe, the lower end of the smoke exhaust ventilation pipe is fixedly connected with a smoke inlet cover, and the middle of the outer surface of the smoke exhaust ventilation pipe is fixedly connected with three fixing blocks. The upper ends of the three fixing blocks are all provided with vertically-through fixing holes, the upper portion of the inner wall face of the smoke exhaust ventilation pipe is fixedly provided with an air exhaust assembly, the lower portion of the outer surface of the smoke exhaust ventilation pipe is provided with an internally-externally-through mounting clamping groove, and the lower portion of the inner wall face of the smoke exhaust ventilation pipe is provided with a connecting sleeve groove. And a filtering assembly is movably clamped in the mounting clamping groove, and a smoke discharging assembly is fixedly connected to the upper end of the smoke discharging ventilation pipe in a penetrating and inserting mode. According to the fire-fighting smoke exhaust ventilator with the air filtering function, a two-stage filtering structure is adopted, the air filtering efficiency and quality are greatly improved, the content of pollutants in exhausted smoke is effectively reduced, and the external environment is protected.

1. Name of the product in this design: Robot (Xiaoqiang-Mantis). 2. Intended use of this design: for fire protection, inspection, industrial operations, or surveying, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention relates to the field of fire protection planning technology, specifically a method for fire station layout and fire equipment configuration based on GeoAI. The method includes: acquiring spatial data related to building identification and constructing a multi-source dataset; determining fire rescue demand points and types based on socio-semantic segmentation using a visual language model, and constructing a dynamic database of fire stations and fire equipment; establishing a comprehensive demand paradigm for fire rescue equipment and decomposing its equipment subsets; determining the optimal pairing of fire rescue demand points with multiple fire stations and evaluating the comprehensive weighted response time; identifying areas with weak fire rescue coverage and determining the initial locations of each candidate fire station; iteratively optimizing the locations of candidate stations to determine the proposed fire station layout scheme; optimizing the spatial layout and equipment configuration of fire stations in conjunction with fire rescue response capabilities; and outputting the fire station layout and fire equipment configuration scheme. This invention achieves differentiated and refined configuration of fire station site selection and equipment, providing a scientific basis for fire protection planning.

1. The name of the design product: corner structure (steel fireproof curtain wall 02 - inner arc). 2. The use of the design product: used as a connection of building decoration profile. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.