557 results about "Fire risk" patented technology

Electrical fire risks and consumer safety are major concerns driving regulators worldwide to implement more stringent electrical code and enforcement. While there are many commercially available protective devices available, none affords total protection, and they are made and classified only to protect circuits from specific or limited number of faults.This invention is about an apparatus, system and method for protection of electrical circuits and consumers from literally all known electrical faults in Direct Current (DC) and Alternating Current (AC) single and multi-phase systems such as and including Arc Faults, Ground and Leakage Faults, Surge, Overload, Short Circuit, Glowing Connections, Miswired Connections, overvoltage, undervoltage and Phase-Loss. Said apparatus, system and method come in the form of or in a housing as a Circuit Breaker, Receptacle, Convenience Outlet, Attachment Plug, Equipment Controller, a circuit, or a system integrated with another system, device or apparatus.

The invention discloses a method for remote sensing monitoring and early warning fire in sylvosteppe, belonging to the field of remote sensing technology application. The invention makes full use of the information expressive force of satellite remote sensing data on a large-scale space, comprises fire risk evaluation on the sylvosteppe ecological system in a large-scale range and detection of abnormal high-temperature points in the sylvosteppe on the basis of the remote sensing data, and generates the fire remote sensing monitoring and early warning information for the sylvosteppe in a point-sphere integrated manner by assimilating and processing the detection data (point) on the abnormal high-temperature points and data of fire risk evaluation (sphere), thus providing decisive instruction information for fire protection and fire emergencies of the sylvosteppe. The invention is characterized by comprising four parts of a data pre-treatment unit, an abnormal high-temperature point detection unit, a fire risk evaluation unit and an early warning information processing unit.

The invention provides a method of predicting and accessing level of a wildfire-caused trip risk in power transmission lines. Based on the power transmission line corridor fire risk level as an indicator and factors such as daily precipitation, temperature, wind speed, relative humidity, slope, sloping direction, road network density, population density, conventional solar terms and vegetation water content, influence factors to the wildfire occurrence risk are quantitatively assessed so as to establish a wildfire risk assessment model. During occurrence of a wildfire, based on the line trip risk level as an indicator and flame height bridge ratio, vegetation variety and vegetation distribution, the influence factors to the power transmission line trip risk level is quantitatively assessed in the case of the wildfire so as to establish a line trip assessment model. The method is applied to predicting and accessing the level of the wildfire-caused trip risk in the power transmission lines by integrating the two models. The method according to the technical scheme has the advantages that the trip risk in the power transmission lines can be subjectively predicted and assessed on the basis of real-time data, targeted preventive measures are taken in advance, wildfire-caused trip accidents of the power transmission lines are maximally decreased, and the method is significant to the improvement of safety and running reliability of the power transmission lines.

The invention discloses a building fire safety evaluation method and system based on a fuzzy comprehensive evaluation model. The method comprises: employing building fire safety as an evaluation target to establish a hierarchic evaluation index system; according to the evaluation index system, employing a five-section partitioned computing method to perform quantitative analysis on evaluation indexes, and determining evaluation index values; grading building fire risk evaluation results, determining a safety evaluation grade set, and determining a corresponding factor set according to evaluation index influence factors; employing a hierarchic analytical method to determine the weight of each factor in the factor set; according to the weight of each factor, employing a multi-factor fuzzy comprehensive evaluation model to perform fuzzy comprehensive evaluation, and obtaining a building comprehensive fire risk belonging grade to safety evaluation grades; and employing a grade parameter evaluation method to obtain a final grade of building fire safety. The building fire safety evaluation method and system have the advantages of accuracy and comprehensiveness, and can be widely applied to the fire safety evaluation field.

The invention discloses a robot cable gallery field fire early warning and fire extinguishment method, device and system. The method comprises the steps that whether to receive a warning signal or notis judged; if not receiving the warning signal, a fire protection inspection robot conducts automatic inspection, receives tunnel internal environment information and crucial location temperature information, compares the tunnel internal environment information and the crucial location temperature information with set fire threshold values and generates a fire signal or conducts field fire risk assessment; if receiving the warning signal or generating the fire signal during automatic inspection, the robot conducts fire pre-identification according to the risk analysis and assessment result, optimizes fire pre-identification at the early smoldering stage, rapidly positions the location of a pre-identified fire source, determines the authenticity, performs the fire extinguishment task and then safely evacuates after completing the task. Through the robot cable gallery field fire early warning and fire extinguishment method, device and system, the capabilities of conducting fire safety pre-warning and fire warning, rapidly searching for the fire source and extinguishing the fire for a cable gallery (tunnel) are greatly improved.

A method and apparatus for the controlled feeding of added air into a permanently inertized room in which a predefined inertization level is or must be set and maintained within a certain control range provide for the volume flow rate at which an inert gas is fed into the room atmosphere to attain a value that is adequate for maintaining the predefined inertization level in the room atmosphere that will minimize fire risk. In addition, provisions are made whereby at all times just enough fresh air is injected into the room atmosphere as is necessary to remove from the room atmosphere that proportional concentration of hazardous substances that has not already been removed, via a corresponding return-air exhaust system as a result of the injection of inert gas.

The invention discloses a forestry forest fire prevention safety intelligent monitoring and management system based on the Internet of Things. The system comprises a plant distribution area division module, a regional plant density statistics module, a regional monitoring point layout module, a regional environment parameter acquisition module, an environment parameter preprocessing module, a plant parameter database, a manual input module, a fire risk assessment coefficient statistics module, a management server, an early warning module and a remote monitoring platform. According to the invention, plant species identification and plant distribution region division are carried out on the whole forest region; meanwhile, a plurality of monitoring points are arranged in each sub-region; environmental parameter acquisition processing is carried out at each monitoring point; therefore, the fire risk assessment coefficient of each sub-region is counted, the possibility of a fire in each sub-region can be predicted in advance, the sub-regions of which the fire risk assessment coefficients are greater than the preset safety fire risk assessment coefficient are subjected to prevention processing, the occurrence of the fire is avoided to the maximum extent, and the damage to forest resources is reduced.

The invention discloses a power lithium battery leakage alarm and extinguishment integrated device which comprises a detection module and an extinguishment module. The detection module comprises a gas sensor, a smoke sensor, a temperature sensor and a detection module circuit board. The gas sensor, the smoke sensor and the temperature sensor are connected with the detection module circuit board. The extinguishment module comprises an electric igniter and an S-shaped aerosol fire extinguisher. The electric igniter is connected with the S-shaped aerosol fire extinguisher. The electric igniter is connected with the detection module circuit board of the detection module. The detection module circuit board is connected with a power supply module of a battery management system and a sensor CAN bus. The power lithium battery leakage alarm and extinguishment integrated device can implement online detection, give an alarm and remind a driver and after-sale maintainers to check internal hidden dangers of a power lithium battery set, the power consumption is low, the size is small, and the power lithium battery leakage alarm and extinguishment integrated device is suitable for occasions where fire risk early warning and fire early inhibition are needed for a power lithium battery pack of a pure electric vehicle or a hybrid power vehicle.

The breathing assistance apparatus of the present invention includes a manifold that is provided with or retrofittable to gases supply and humidifying devices. The manifold allows gases from an oxygen concentrator to be combined with the flow through a gases supply and humidifying device, most usually air The combined output of oxygen and other breathing gases (air) is then humidified. The breathing assistance apparatus and manifold of the present invention provides a safe method to add oxygen to the input air stream of a gases supply and humidifying device and reduces the amount of accumulation of oxygen within the gases supply device, reducing fire risk should sparking occur within the device.

The invention relates to a closed-type / semi-closed-type building transformer substation fire risk assessment method. A closed-type / semi-closed-type building transformer substation fire risk assessment system is constructed through the adoption of an analytic hierarchy process. Five secondary indexes and totally 28 tertiary indexes are included. The weight of each index is determined through an expert scoring form. According to a described assessment work procedure and through a final assessment score, a closed-type / semi-closed-type building transformer substation fire risk assessment level is obtained and a rectification method is provided. According to the closed-type / semi-closed-type building transformer substation fire risk assessment method, potential dangerous factors of an assessment object can be found out and analyzed and the fire risk magnitude of the assessment object can be measured. The assessment object can be improved accordingly, important guarantees can be provided for fire protection preparations, reduction of fire damages and the like, evidences are provided for the design, fire suppression, operation and maintenance and safety management of a closed-type / semi-closed-type building transformer substation, and meanwhile, references can be provided for the fire risk assessment in other power typical sites.

The invention provides an assessment method for predicting the occurrence risk of forest fires of further time phases, and relates to assessment methods for the occurrence risk of fires. The method comprises steps of performing model training by selecting the vegetation data and the topographic data of the Nth time phase before the forest fire occurrence time phase and the meteorological data of the time phase where the forest fire occurrence time phase is, acquiring the relationship between the above data and the occurrence risk of a forest fire, and placing the real-time vegetation data andterrain data and the weather forecast data of the Nth time phase after the real-time time phase into the above relationship for assessment. The assessment method of the invention comprehensively considers a plurality of factors which induce the occurrence of forest fires, eliminates the bias of considering only meteorological factors to obtain assessment results, and realizes the fire risk assessment of large-scale and high spatial resolution due to the innovation of data selection. The assessment results are predictive, can provide a scientific basis for preventing forest fires and improvingprevention and control and disaster reduction systems, and help guide the prevention and control of forest fires.

An electric automobile charging and replacing station fire risk data evaluation method includes the steps: numerically simulating actual acquired data of fire scene main structures of a distribution room, a charging and replacing room and a monitoring room in an electric automobile charging and replacing station by a modeling tool to obtain a large number of simulated data, and screening or exhausting the fire development condition of a single room after catching fire and influence factors of the fire on the whole charging and replacing station; determining a data evaluation range; building a fire risk data hierarchy structure model; calculating the weight of each factor by a hierarchy analysis method; determining fire risk levels; judging whether the fire risk levels meet safety requirements or not, if the fire risk levels do not meet the safety requirements, calculating improving suggestion data according to fire risk and harmfulness obtained in the first step, returning to the fourth step according to the proposed suggestion data, reconstructing a judgment matrix, calculating the weight and performing evaluation until meeting evaluative criteria. Reliable data can be provided, and prediction accuracy is improved.

The invention discloses a forest and grassland fire prevention and early warning monitoring system and relates to the fire hazard monitoring technology field. The system comprises static monitoring points and dynamic monitoring points. The plurality of static monitoring points and at least one dynamic monitoring point monitor monitoring data used for determining a fire probability and a fire condition in a set area. And then the monitoring data is transmitted to a monitoring center via a signal transmission network. The monitoring center analyzes and generates corresponding alarm data information, and sends to the mobile terminal of a firefighter through an alarm information sending network. The static monitoring points and the dynamic monitoring points are combined to realize the networkcoverage of the monitoring area and simultaneously emphasize a key point. The intensity of fire monitoring is flexibly adjusted according to the fire probability in the monitoring area, and accurate assessment and early warning are performed on the fire and a fire risk in a targeted mode. Because various factors influencing the fire probability are continuously changed, the above scheme can be adaptively adjusted and monitoring accuracy is high.

The embodiment of the invention provides an end-side-cloud architecture-based community fire monitoring system. The community fire monitoring system comprises 6LoWPAN wireless sensing networks, cloudgateways and a cloud platform, wherein the 6LoWPAN wireless sensing networks have a fire risk sensing function; the cloud gateways are connected with the 6LoWPAN wireless sensing networks and is connected to the cloud platform through the 6LoWPAN wireless sensing networks; the cloud gateway performs data transmission based on an MQTT protocol; and the cloud platform utilizes a community fire fuzzyneural network early warning model and the edge calculation of the cloud gateway to realize real-time early warning and control of fire risk. According to the embodiment of the invention, the low-cost arrangement of the fire monitoring network is realized, the signal quality is improved, and the reliability is enhanced; the data transmission of the wireless sensing networks and the cloud platformis carried out through the single MQTT protocol, and the data transmission efficiency and the timeliness of fire early warning are improved; and the perception, transmission, analysis, early warningand control of the fire risk of the community are comprehensively realized.

The invention relates to a manufacturing method of fireproof paint, in particular to environment-friendly cable fireproof paint and a manufacturing method thereof. The environment-friendly cable fireproof paint comprises the following initial raw materials in parts by weight: 1-50 parts of water, 10-90 parts of elastic acrylic based emulsion, 1-10 parts of stuffing, 10-90 parts of flame retardant,1-10 parts of melamine, 1-10 parts of rutile type titanium pigment, 1-10 parts of dipentaerythritol, 1-10 parts of thixotropic agent and 1-10 parts of thickening agent. The environment-friendly cablefireproof paint is water-based fireproof paint, has the advantages of no halogen, innocuity, no corrosion, safety, environmental protection, high-effective flame retardance, volume increase in case of fire, convenient construction and the like, radically eliminates the fire risks due to the solvent volatilization of solvent type paint in production and construction, and reduces the harm to peopleand the pollution to environment caused by harmful organic solvents.

The invention is applied to the technical field of fire monitoring, and provides a fire monitoring method and device and an edge computing device. The method comprises the steps that two or more groups of environmental monitoring data are obtained, according to time series of the environmental monitoring data, the environmental monitoring data is preprocessed, the preprocessed environmental monitoring data is obtained, the preprocessed environmental monitoring data is input into a pre-training machine learning model, decision results output by the pre-training machine learning model are obtained, and according to the decision results, corresponding warning information is sent to a user terminal. The fire monitoring method and device and the edge computing device have the advantages that the edge computing device is utilized to run the machine learning model to perform data fusion on the environmental monitoring data to calculate the danger level of fire to achieve real-time, objective,safe and reliable fire risk assessment; meanwhile, according to the fire status, the corresponding warning information is sent, thereby providing a real and reliable decision-making basis for fire-fighting and rescue personnel, and improving the efficiency of fire-fighting and rescue operation.

The invention discloses an ecological restoration management method for coal spontaneous combustion fire potential areas and standards and aims to provide an ecological restoration mode and technology for loess hilly-gully regions fragile in ecological environment and high in potential fire risk to meet the requirement of large-area ecological restoration projects. Methods and techniques are provided for ecological restoration of control regions by a series of ecological restoration methods including reclaiming land while mining by combination of topsoil resource exploitation, internal drainage and external drainage, performing erosion and torrent control works, adopting engineering technologies and biological methods for reclamation, planting trees for greening and the like.

The invention relates to a composition of waterborne laminating adhesive and a method for preparing the same. The waterborne laminating adhesive comprises the following components in percentage by weight: 10 to 20 percent of soft monomer, 25 to 30 percent of hard monomer, 2 to 4 percent of functional auxiliary agent, 0.5 to 2 percent of emulsifier, 0.08 to 0.3 percent of initiator, 0.2 to 0.6 percent of Ph buffer regulator and 0.5 to 1.2 percent of functional assistant and 45 to 55 percent of softened water. Because a waterborne medium is used, so that no pollution is caused in the production process, damages caused by organic solvents to production persons and users are eliminated, and the fire risks in production and use processes are greatly reduced. The waterborne laminating adhesive has the advantages of higher bonding force, bonding strength, water resistance and solvent resistance, complete water base, no organic solvents such as benzene and ethylene dioxide, no toxin nor harmlessness, high product applicability, unnecessary modification of the original equipment, the complete replacement of the solvent-type laminating adhesive, no metachromatism with gold powder, the suitability for production of high-grade products, easily bought raw materials, simple production process, easy operation and the like.

The breathing assistance apparatus of the present invention includes a manifold that is provided with or retrofittable to gases supply and humidifying devices. The manifold allows gases from an oxygen concentrator to be combined with the flow through a gases supply and humidifying device, most usually air The combined output of oxygen and other breathing gases (air) is then humidified. The breathing assistance apparatus and manifold of the present invention provides a safe method to add oxygen to the input air stream of a gases supply and humidifying device and reduces the amount of accumulation of oxygen within the gases supply device, reducing fire risk should sparking occur within the device.

The invention discloses a forestry fire prevention intelligent inspection monitoring and early warning system based on big data. The system comprises an inspection area division module, an unmanned aerial vehicle, an unmanned aerial vehicle inspection route matching module, a database, a plant height acquisition module, an inspection height adjustment module, a fire hazard inspection parameter acquisition and analysis module, a GPS positioning module, a distance navigation module, a central monitoring platform and an early warning module.According to the invention, the forest area is divided;the unmanned aerial vehicle is used for replacing manual inspection, infrared thermal imaging shooting is carried out on the inspection subareas in the inspection process to count fire points with fire risks, meanwhile, flames and visible smoke phenomena of all the inspection subareas are monitored, intelligent inspection monitoring can be carried out on forest fires, the inspection efficiency ishigh, The forestry fire prevention intelligent inspection monitoring and early warning system has the advantages of being high in monitoring speed, high in timeliness and high in accuracy, meanwhile,the fire point position is positioned, the positioned geographical position is sent to forest protection personnel, the forest protection personnel go to extinguish a fire, and therefore damage to forest resources is reduced.

The invention provides a method and system for warning a fire risk in a monitoring area. The method includes the steps of building a physical model of the monitoring area according to preset physical parameters of the monitoring area, simulating a fire in the monitoring area in the physical model according to preset combustion data of the monitoring area, obtaining combustion data of the monitoring area when a fire breaks out in the monitoring area, determining data required during fire extinguishment in the monitoring area according to the combustion data, predicting the level of the fire risk of the monitoring area according to the data required during fire extinguishment and preset fire safety data of the monitoring area according to a maximum membership principle, and generating corresponding warning information according to the level of the fire risk. According to the method, the fire danger level of the monitoring area can be accurately obtained and a warning can be quickly sent out.

The invention relates to a forest fire prevention data analysis system based on big data, and the system comprises a forest fire prevention monitoring center, and a regional division module, a data acquisition module and an early warning prediction module connected to the forest fire prevention monitoring center, wherein the forest fire prevention monitoring center comprises a fire situation analysis module, a command and dispatch module and a fire loss estimation module, wherein the fire loss estimation module is used to estimate the loss caused by the fire. The forest fire prevention data analysis system based on big data provided by the invention divides the forest region into several monitoring regions by the regional dividing module, and sets monitoring points in each monitoring region. The early warning prediction module predicts the fire risk level based on the environmental data video image data and environmental data collected by the information collection module, thereby realizing the risk evaluation of forest fire occurrence before the fire occurs, and providing support for the early prevention of forest fires.

A method and apparatus for the controlled feeding of added air into a permanently inertized room in which a predefined inertization level is or must be set and maintained within a certain control range provide for the volume flow rate at which an inert gas is fed into the room atmosphere to attain a value that is adequate for maintaining the predefined inertization level in the room atmosphere that will minimize fire risk. In addition, provisions are made whereby at all times just enough fresh air is injected into the room atmosphere as is necessary to remove from the room atmosphere that proportional concentration of hazardous substances that has not already been removed, via a corresponding return-air exhaust system as a result of the injection of inert gas.

The invention relates to forest fire prevention, in particular to a forest fire risk assessment method based on space Logistic. The method comprises: 1) collecting a surface temperature data set; 2) collecting a normalized vegetation index data set; 3) collecting a GDP spatial distribution data set and a vegetation type spatial distribution data set; 4) collecting a DEM digital elevation data setand a ground climate data monthly value data set; 5) calculating a vegetation drought index through a formula; 6) establishing a spatial Logistic forest fire risk probability model; and 7) evaluatingthe forest fire risk of the to-be-detected area. According to the invention, forest fire monitoring data of the Chinese forest grassland fireproof net is used as basic data; data such as elevation (GC), gradient (PD), temperature (TEM), rainfall (RAIN), temperature vegetation drought index (TVDI), gross domestic product (GDP), vegetation type (ZB) and the like are used as forest fire danger influence factors. A spatial Logistic forest fire risk probability model is constructed, forest fire risk division can be carried out in a provincial domain range, and a scientific basis is provided for forest fire risk prevention and risk decision making.

The invention discloses a coupling certainty and uncertainty analysis fire risk evaluation method. The method comprises steps that S1, risk factors are identified, and a fire risk evaluation system isestablished; S2, a fuzzy analytic hierarchy method is utilized to determine the index weight of each risk factor; S3, the fuzzy theory is utilized to combine with the confidence to calculate the firerisk of each single factor; S4, the evidence reasoning operator is utilized to synthesize the fire risk of each single factor; S5, an expected utility value is utilized to acquire the clear evaluation result; and S6, the sensitivity analysis method is utilized to verify feasibility of a model.

A lint collector and safety system for the clothes dryer. The lint collector removes lint. The safety system determines whether the flow of exhaust air is above a pre-set level, and causes and interruption of electrical power to the clothes dryer if there is not. The invention provides for more efficient drying of clothes and reduces risk of fires. The system may also include and interruption of electrical power for other malfunctions of clothes dryer.

The invention discloses an analysis system and an analysis method for overall fire resistance of a beam-post wood structure frame. The analysis system comprises an actual fire simulation module, a structure interior finite element heat transfer analysis module and a structural field finite element analysis and calculation module, wherein the actual fire simulation module is used for generating a simulated fire working condition corresponding to the actual fire working condition in the beam-post wood structure frame; the structure interior finite element heat transfer analysis module is used for acquiring interior temperature distribution of the wood structure under the simulated fire working condition generated by the actual fire simulation module; the structural field finite element analysis and calculation module is used for loading the wood structure so as to acquire structural deformation and damage. With the adoption of the analysis method for fire resistance of the beam-post wood structure frame, fire development, structural interior heat transfer and structure response in the fire development process are simulated, quick analysis of deformation and damage development of the structure in the fire bearing process is realized, visualization can be realized, the method has the characteristics of low cost and conciseness, and practical value is provided for fire performance design and fire risk assessment of the wood structure.

The invention discloses an inert gas intelligent fire extinguishing system based on infrared imaging temperature measurement. The inert gas intelligent fire extinguishing system comprises an infrared thermal imager, an infrared sensor and a smoke sensor which are connected with a supervision center server and a supervision center database through a transit network. The supervision center server is connected with a fire alarm device, a mobile phone terminal, a PC terminal, a firefighting linkage control center and an inert gas fire extinguishing device. According to the inert gas intelligent fire extinguishing system based on infrared imaging temperature measurement, potential fire risks can be found in time in the early stage that the temperature of equipment and cables rises, mobile phone remote alarm is sent out, and the enough time is provided for managers to conduct remote fire extinguishing and intelligent automatic fire extinguishing.

The invention discloses a fire protection safety assessment and fire risk and hidden danger management system and a using method thereof, so as to solve problems that during a fire protection perambulation inspection process by a fire prevention supervision department in the prior art, whether paper rules and regulations exist can only be seen, whether the regulations are implemented and executed and the like are hard to supervise; and in addition, due to the dynamic property of the fire hidden dangers, the existing assessment method can only give a conclusion on a static fire protection safety condition in the case of data acquisition, and investigation on the fire protection safety condition can not be carried out from a dynamic point of view. The technical scheme of the invention comprises a PC, a handheld terminal and a GPS positioning recorder, and is characterized in that the PC is connected and interacted with the GPS positioning recorder and the handheld terminal via a wireless network. The system and the method of the invention have the advantages that the management process is simplified, an information island is opened, and multi-side fire prevention information sharing from building fire protection safety related supervision, an owner, assessment, fire protection perambulation inspection and the like is realized; and units are assisted to build standardized and dynamic fire protection electronic archives, the fire protection subject responsibility consciousness of the units is enhanced, and the fire protection management behaviors of the units are standardized.