2279 results about "Toxic gas" patented technology

A recovery treatment apparatus for trichloroethane in sucralose production. The rotation of an output shaft of a motor (7) drives multiple gas suction assemblies (31) to rotate, so that a negative pressure environment is formed, and the transmission of tail gas from the bottom of a water washing tower (1) into a gas guide pipe (2) is accelerated; and at this time, multiple atomizing nozzles (19) spray mist and the mist is sprayed to the tail gas passing through a sieve plate (23), then HCl gas in the tail gas is absorbed when in contact with water, thereby achieving the effect of purifying toxic gas HCl. Along with the rotation of a rotating rod (10), a collar (12) further drives L-shaped connecting rods (14) and turning blocks (15) to turn filter materials, so that collision and displacement occur between the filter materials; and at this time, particulate impurities adsorbed on the surfaces of the filter materials are cleaned under the flow of water vapor, and meanwhile, the vibration generated by dynamically moving filter materials can also cause the adsorbed particulate impurities to be shaken off. Thus, the continuous purification and adsorption effect of filter materials is improved, and the service cycle of filter materials can be prolonged at the same time.

The invention discloses a safety management risk dynamic monitoring system for safety production, and belongs to the technical field of industrial safety management. The system collects monitoring parameter data in an enterprise in real time by integrating toxic gas, temperature, pressure and other sensors and video monitoring equipment, dynamically displays risk distribution of major hazard sources and key areas by combining a three-dimensional map labeling function, identifies high-risk areas and potential hazards through risk grading evaluation and hidden danger correlation analysis, and improves the safety of the enterprise. A response mechanism is dynamically adjusted according to the risk level, an emergency plan and a remote equipment control function are combined, major risks are handled in a rapid linkage mode, the possibility of accident expansion is remarkably reduced, an intelligent inspection module achieves efficient and accurate inspection tasks, inspection data are collected and analyzed in real time, and an inspection report containing the task completion rate and abnormal conditions is generated. Through closed-loop management, hidden danger rectification and continuous optimization are realized, real-time monitoring of safety risks is realized, and the occurrence rate of safety production accidents is effectively reduced.

The invention discloses an atmospheric environmental pollution event emergency monitoring and early warning method and system, and belongs to the technical field of environmental management. The method comprises the following steps: acquiring multi-scale meteorological field data and chlorine concentration real-time data of at least five monitoring stations, extracting a wind field direction and a concentration change rate, and determining a position and a wind direction of a potential pollution hot spot area. The information is sent to the unmanned aerial vehicle, and the unmanned aerial vehicle automatically plans a path and collects supplementary concentration data from three angles. And fusing the monitoring data and the supplementary sampling data, and combining with a meteorological field input pollutant three-dimensional concentration distribution model to generate three-dimensional distribution data. And inputting the CALPUFF reverse model, and carrying out inversion to obtain the specific position and the emission intensity of the pollution source. According to the scheme, the accuracy and timeliness of source tracing of the pollution source are improved, high spatial resolution and flexible response capability are achieved, and efficient and intelligent technical support is provided for intelligent early warning, rapid source tracing and scientific response of sudden toxic gas leakage events.

The invention discloses a regional risk prediction method and system based on toxic gas diffusion analysis, and provides a regional risk prediction method based on toxic gas diffusion analysis on the basis of source item traceability prediction of a leakage source. The content of the invention mainly relates to development and improvement of a gas diffusion model, data acquisition and processing, construction of a risk prediction model, uncertainty analysis, research of an emergency response strategy, case analysis and verification and system integration and demonstration application, and through comprehensive consideration of factors such as gas properties, meteorological conditions and topographic features, prediction accuracy is improved, and the risk of the gas diffusion model is predicted. Scientific basis is provided for risk management, and practicability and popularization of the prediction system are finally realized.

The invention relates to the technical field of battery production, and discloses a preparation method of high-purity lithium sulfide, which comprises the following steps: preparing high-purity sulfur powder; pretreating lithium hydride; proportioning and feeding; carrying out high-speed ball milling treatment; cooling at normal temperature; carrying out ball milling detection; and collecting and packaging. According to the preparation method of the high-purity lithium sulfide, the argon is filled in the ball milling tank, so that the reaction between the lithium hydride and the high-purity sulfur powder is always carried out under the protection of the argon, the safety of the reaction can be ensured, and meanwhile, the use of toxic gas in the production process of the lithium sulfide can be reduced; the high efficiency and safety of the lithium sulfide production process are guaranteed, meanwhile, the converter with the rotating structure at the bottom of the ball milling tank drives the ball milling tank to continuously rotate, full heating and heating uniformity of lithium hydride and high-purity sulfur powder are guaranteed, and then the reaction efficiency and safety of the device in the high-purity lithium sulfide preparation process are improved.

The invention discloses an intelligent induction and early warning system for poisonous gas in a limited space, and relates to the technical field of gas induction and early warning. A three-dimensional structure model of the limited space is constructed, and non-uniform grid division is carried out based on barrier characteristics; multiple types of toxic gas sensing units are arranged in the grids, and gas concentration data are collected in real time; constructing a toxic gas three-dimensional cloud picture, and generating a dynamic weight field based on the concentration gradient; fusing operator positioning and trajectory prediction information, and establishing an individual risk exposure model; calculating a space-time intersection of the toxic gas cloud picture and the high-risk track area to form a fusion risk matrix; realizing linkage early warning control of a region level and an individual level through multi-level dynamic threshold judgment and thermal block clustering identification; the system can realize accurate perception and active response of the toxic gas gathering trend and personnel exposure risk in the complex limited space, has the technical advantages of high sensitivity, high intelligence and low false alarm, and is suitable for various limited space scenes such as chemical engineering, tunnels and mines.

The invention belongs to the technical field of energy storage materials, and particularly relates to a high-entropy oxide Fe0. 2Co0. 2Ni0. 2Cu0. 2Zn0. 2O and an ultrafast synthesis method and application thereof. According to the preparation method, ferroferric oxide, cobalt oxide, nickel oxide, copper oxide and zinc oxide with equal molar ratio are adopted as direct synthesis raw materials, toxic gases such as chlorine and nitrogen dioxide generated in the synthesis process of a metal salt precursor are avoided, and the uniformly distributed single-phase high-entropy oxide is synthesized in an ultrafast manner within 10 seconds by using a Joule heating technology; the synthesized high-entropy oxide is used as a lithium ion battery negative electrode material, and shows more excellent electrochemical performance and cycling stability compared with other high-entropy oxides prepared from transition metals with different proportions; in the preparation process, extra additives are not needed, operation is easy, the synthesis speed is high, the yield is high, element distribution is uniform, and the method has the advantages of being low in cost, high in efficiency and free of pollution and has the industrialization prospect.

The invention relates to the technical field of toxic gas monitoring, in particular to a limited space operation environment gas monitoring device which comprises a shell, a controller and an audible and visual alarm, a gas cavity is formed in the shell, a pushing assembly, a detection assembly and a sealing assembly are arranged in the shell, and the pushing assembly comprises an air cylinder, a through hole and a pushing plate; the detection assembly comprises a servo motor and a rotating disc, a plurality of air storage cylinders are arranged on the circumference of the rotating disc, harmful gas sensors are arranged in the air storage cylinders, the sealing assembly comprises a mounting plate and a water through hole, a micro motor, a baffle a and a baffle b are arranged in the mounting plate, an air inlet and a water inlet are formed in the mounting plate, and a piston is arranged in the water through hole. The air cylinder drives the push plate to push air in the air cavity into the air storage cylinder to be detected through the harmful gas sensor, when the push plate descends, the micro motor drives the baffle a and the baffle b to seal the air inlet, and meanwhile, the piston squeezes water in the water through hole into the position between the baffle a and the baffle b to be further sealed, so that the detection result is more accurate.

The invention relates to the technical field of auxiliary devices of detection equipment, in particular to a robot and method for detecting the stability of the wall of a pile hole and poisonous gas in the hole, and the robot can be automatically clamped according to the size of the pile hole and automatically ascends and descends for detection after being clamped. The method for detecting the soil texture of the poison gas in the deep pit comprises the following steps: according to the types of harmful gases possibly existing, oxygen, methane, hydrogen sulfide, carbon monoxide and the like, detecting the soil texture of the poison gas in the deep pit, and detecting the soil texture of the poison gas in the deep pit. A multi-parameter gas detector capable of detecting the gases is selected, so that all operators are properly trained to know how to correctly use the detector and deal with emergency situations; and determining that the sensor works normally and is not damaged or blocked, and placing the gas detector at different heights of the pile hole, generally performing detection once from the bottom to the top at a certain distance so as to obtain comprehensive data.

The invention discloses a fluoride-free environment-friendly flame-retardant PC (polycarbonate) material and a preparation method thereof. The fluoride-free environment-friendly flame-retardant PC material is prepared from the following raw materials in parts by weight: 68-99.98% of polycarbonate resin; 0.01 to 25% of a flame retardant; 0.01 to 5% of a synergistic flame retardant; and 0-2% of a processing aid. The flame retardant does not contain any flame retardant, does not generate toxic gas or smoke in the combustion process and is harmless to the environment and human bodies, the components of the flame-retardant PC material meet the PFAS environment-friendly requirement, the flame-retardant PC material belongs to an environment-friendly material, and the prepared fluoride-free environment-friendly flame-retardant PC material is applied to the fields of the automobile industry, the electric appliance and instrument industry, the mechanical industry and the like.

A toxic gas monitoring apparatus for monitoring a power distribution environment, the toxic gas monitoring apparatus comprising a water receiving pipe (1), wherein a first connecting pipe (2) is inserted into the top of the water receiving pipe (1) in a penetrating manner; and a pipe cap (3) is mounted at the top of the first connecting pipe (2), and a first sleeve (4) is rotationally inserted into the center of the top of the pipe cap (3) in a penetrating manner. By providing a gas suction assembly (13), when a detector (15) detects that the content of toxic and harmful gas exceeds a standard, the detector (15) can control an electric telescopic rod to shorten by means of a controller (16), such that a first rotating shaft (6) and a second rotating shaft (134) are driven by a connecting plate to move downwards, and thus an impeller (7) extends from the bottom of the first connecting pipe (2) under the drive of the first rotating shaft (6); and water flowing through the water receiving pipe (1) can then drive the first rotating shaft (6) to rotate by pushing the impeller (7), and the second rotating shaft (134) can drive two first exhaust fans (133) to rotate under the action of a transmission belt (143), such that the toxic and harmful gas in the outside is suctioned into a collecting box (8) and is absorbed by an absorbent.

The invention belongs to the technical field of gas monitoring, and discloses a limited space gas monitoring method, system and device based on the Internet of Things and a medium, and the method comprises the steps: obtaining gas sensing data transmitted by a pre-constructed gas sensing node network through an optimal transmission path; performing gas concentration prediction on the gas sensing data by using a long short-term memory neural network and a random forest algorithm, comparing a prediction result with a preset early warning threshold value, and triggering an alarm of a corresponding level; and determining a prediction error based on a prediction result, dynamically optimizing an early warning threshold based on the prediction error, and continuously optimizing the plan through a closed-loop feedback mechanism. By introducing the gas monitoring sensor, the wireless Internet of Things ad hoc network technology, the edge computing and the cloud collaborative architecture, the toxic gas real-time monitoring with high sensitivity, low power consumption, flexible deployment and intelligent analysis is realized.

The invention provides a poison gas leakage inversion method, device and equipment, a medium and a product. According to one example of the application, the method may include: using a stochastic simulation algorithm to determine a simulation position and simulation intensity where a poison gas concentration error is minimum, the poison gas concentration error being an error between a sampled poison gas concentration of a sampling point and a stochastic simulated poison gas concentration; based on the simulation position and the simulation intensity, constructing a position constraint condition and an intensity constraint condition of the poison gas leakage source; calculating a leakage source position of a poison gas leakage source by adopting a differential evolution algorithm and a position constraint condition; and calculating the leakage source intensity of the poison gas leakage source by adopting a quasi-Newton optimization algorithm and an intensity constraint condition.

The embodiments provide a system and method for filtering out smoke and / or toxic gases / fumes from air in a building. The system integrates various smart devices with an HVAC system along with a controlling software application that can change the state of the smart devices, thereby controlling the types and quantities of air moving through the HVAC system at any time. In particular, the system can adjust the openings of one or more smart registers to control how much air passes in and out of the HVAC system over a given period of time. The system can also adjust the opening of a smart intake vent to control how much fresh (outside) air passes into the system over a given period of time. The system can also adjust the opening of a smart furnace valve that is disposed within the furnace.

The invention discloses cleaning equipment for a feed production waste gas purification tank. The cleaning equipment comprises a purification tank body, an adjusting assembly, a cleaning assembly and a filtering assembly; a waste gas treatment section and a waste liquid treatment section are arranged on the purification tank body, a liquid inlet pipe is arranged on the outer wall, close to the waste gas treatment section, of the waste liquid treatment section, and a liquid outlet pipe is arranged at the bottom of the waste liquid treatment section; a motor drives a main gear to further drive a driven gear and a rotating cylinder to rotate, an annular base is in threaded connection with a cleaning pipe, so that the whole cleaning pipe rotates and moves upwards, a scraping plate at the bottom scrapes the inner wall of the purification tank body, and meanwhile conical filter cloth is driven to move up and down, so that the conical filter cloth is cleaned more thoroughly; and finally, water is injected into the purification tank body through a liquid inlet pipe to wash the scraped impurities, and wastewater is discharged through a liquid outlet pipe, so that the conical filter cloth and the interior of the purification tank body are ensured to be clean and tidy, and subsequent filtration and purification of toxic gas are facilitated.

The invention relates to the technical field of flame-retardant materials, in particular to a halogen-free flame-retardant glass fiber modified polypropylene material and a preparation method thereof. The material comprises the following components in parts by mass: 60-80 parts of polypropylene, 15-30 parts of long glass fiber, 8-15 parts of a halogen-free intumescent flame retardant, 2-5 parts of a synergist, 3-8 parts of a compatilizer, 2-3 parts of an interface modifier, 2-4 parts of a dynamic cross-linking agent and 1-3 parts of a functional additive. According to the halogen-free flame-retardant glass fiber modified polypropylene material and the preparation method thereof, an intumescent halogen-free flame retardant melamine polyphosphate is compounded with organic montmorillonite, nano zinc borate and MXene, so that the flame-retardant efficiency is improved through a synergistic effect, and the release of smoke and toxic gas in a combustion process is inhibited; the halogen-free flame-retardant glass fiber modified polypropylene material has a good flame-retardant effect by introducing the halogen-free flame-retardant glass fiber, and maleic anhydride grafted polypropylene is introduced as a compatilizer to modify the surface of the long glass fiber and enhance the interface bonding force between the long glass fiber and a matrix.

The invention discloses a dangerous chemical accident analysis system and analysis method based on digital twinning. The method comprises the following steps: establishing a jet fire accident consequence model of a fire spread analysis unit; establishing a toxic gas leakage accident consequence model; establishing a pool fire accident consequence model; establishing a steam cloud explosion accident consequence model; setting coordinates, proportion and position attributes of the model in the process of importing the three-dimensional data of the chemical industry park; sensor real-time monitoring data are accessed through a data interface and serve as input parameters, and dynamic updating and visual effect display are achieved. Three-dimensional scene restoration under high resolution is realized through a digital twin technology, model influence parameters are interactively set in combination with a Web end interface, physical states and environmental factors of hazardous chemicals are monitored in real time, and dynamic simulation and analysis are performed through a digital twin model, so that early recognition and early warning of accident risks are realized. And the prevention and coping capability of dangerous chemical accidents is improved.

The invention relates to a hydrogen safety rapid early warning method based on hydrogen micro leakage judgment. The early warning method comprises the following steps: acquiring technological process information of a hydrogen refueling station system, and carrying out hazard source identification to obtain a hazard source identification result; a risk point where hydrogen leakage is likely to happen in the hydrogen refueling station is determined, and a combined criterion of the hydrogen concentration change rate, the hydrogen concentration sudden change value and the hydrogen concentration threshold value is formulated; carrying out a hydrogen leakage test, and determining a parameter threshold value of a hydrogen leakage criterion; and obtaining a fault state operation parameter change rule, and positioning hydrogen leakage so as to realize rapid early warning of hydrogen leakage. Compared with the prior art, the micro leakage test and the fault state operation parameter test are combined, the leakage alarm is realized at the hydrogen micro leakage stage, and the safety of the hydrogen related system can be improved to a great extent. The method is not only suitable for rapid early warning of hydrogen leakage of a hydrogen related system, but also suitable for leakage early warning of other toxic gases or combustible gases, and has wide application scenarios.

The invention relates to the technical field of battery raw materials, in particular to a preparation method of lithium sulfide powder, the lithium sulfide powder and application, and the preparation method comprises the following steps: uniformly mixing lithium sulfate and a carbon source according to a preset proportion to obtain a first mixture; performing first heat treatment on the first mixture in inert gas to obtain a second mixture; and performing second heat treatment on the second mixture in reducing gas to obtain the lithium sulfide powder. The product obtained by the preparation method disclosed by the invention is the lithium sulfide powder, and the obtained lithium sulfide powder has the advantages of less oxygen and carbon impurities, higher purity and high reaction activity, and meets the synthesis requirements of the electrolyte; according to the preparation method, in the process of preparing lithium sulfide, toxic gas and organic solvent are not used, the reaction temperature is low, the energy consumption is low, the requirement on production equipment is low, the process is simple, the cost is low, harmful gas emission is avoided, safety and environment friendliness are achieved, and industrialization is easy to achieve.

The invention provides a dual-wavelength tunable all-solid-state mid-far infrared laser, relates to the technical field of lasers, and is used for solving the technical problems that high-performance dual-wavelength 3 [mu] m waveband laser and mid-far infrared waveband laser generated by pumping of the high-performance dual-wavelength 3 [mu] m waveband laser are difficult to obtain in the prior art. The middle and far infrared laser comprises an erbium-doped laser and an optical parametric oscillator, the erbium-doped laser is used for providing dual-wavelength 3-micron wave band pulse laser, and the erbium-doped laser comprises a pumping source, an erbium-doped laser medium, a gain modulator, a high reflective mirror and an output mirror; the optical parametric oscillator is used for obtaining medium-wave infrared laser and long-wave infrared laser which are output in a dual-wavelength mode under the pumping effect of the dual-wavelength pulse laser in the 3-micron wave band. The mid-far infrared laser is simple in structure and convenient to use, can obtain tunable dual-wavelength mid-far infrared pulse laser with high beam quality, and meets the light source requirements of differential absorption of toxic gas telemetering of laser radar and photoelectric countermeasure.

The invention discloses a mine blasting safety monitoring and early warning system, which comprises a multi-source sensing module, an edge computing node, a dynamic risk assessment module, an intelligent early warning decision module and an emergency linkage execution module, and is characterized in that the multi-source sensing module acquires multi-dimensional data such as blasting vibration, shock waves and toxic gas through various sensors; edge computing nodes filter noise and extract time-frequency features; the dynamic risk assessment module inverts blasting energy based on vibration and shock wave data, and predicts secondary disasters in combination with a geological model and gas concentration; the intelligent early warning decision module dynamically adjusts an early warning threshold by using a deep learning model and fusing multi-modal data; the emergency linkage execution module executes instructions such as power failure and evacuation according to devices such as early warning level, linkage ventilation and personnel positioning, overcomes the defects of traditional single monitoring and lack of correlation models, realizes full-process and all-directional monitoring of blasting operation, and effectively improves the safety of mine blasting operation and the efficiency of emergency management.

The invention belongs to the technical field of comprehensive recycling of secondary resources, and particularly relates to a method for recycling recyclable components of waste lithium batteries in a step-by-step and classified manner. The method comprises the following steps: carrying out charged crushing on the waste lithium battery in an inert atmosphere, treating the crushed material to obtain a solid I and an electrolyte, and treating the solid I in a solvent B to obtain a solid II and a negative electrode binder. Treating the solid II to obtain a solid III, negative electrode graphite powder and a lithium-containing compound; treating the solid III to obtain a solid IV and a positive electrode binder; treating the solid IV to obtain a solid V, anode graphite powder and a cobalt, manganese, nickel or lithium-containing compound; and further treating the solid V to obtain a diaphragm, a copper sheet, an aluminum sheet and a plastic shell. All-resource recovery of the lithium batteries is achieved through step-by-step classification, conditions of the method are mild, operation is easy to achieve, the process is simple, complex equipment is not needed, no toxic gas is generated in the whole process, the used solvent can be recycled, and the method is environmentally friendly and high in resource utilization rate.

The present invention proposes a preparation method of chemically modifying the surface of traditional aramid fiber with dopamine and then grafting two-dimensional titanium carbide (MXene) flakes, so that the modified aramid fiber has good electrical conductivity and excellent electromagnetic shielding effectiveness while maintaining flexibility, and the electromagnetic shielding effectiveness in the X-band (8.2GHz~12.4GHz) can be up to 85dB. The preparation method of the present invention comprises: soaking the cleaned aramid fiber in a dopamine hydrochloride solution, adding a MXene dispersion, and adjusting the pH of the system so that dopamine nucleates and self-polymerizes on the surface of the aramid fiber and the MXene flakes. During this polymerization process, the MXene flakes will be fixed on the surface of the aramid fiber by filamentous polydopamine. The method is simple in process, the grafted MXene flakes are evenly distributed and not easy to fall off, no toxic solvents are required, and no toxic gas / liquid is discharged. The waste liquid generated can be directly discharged after adjusting the pH, which is energy-saving and environmentally friendly.

The invention relates to the technical field of intelligent sensors, in particular to a workshop harmful gas abnormity monitoring method and system based on multi-modal data, and the method comprises the following steps: obtaining the multi-period concentration change of a node, recognizing the reverse direction, forming a bounce fragment, combining node behaviors according to the correlation of time and space, and constructing a diffusion path; and in combination with node toxicity residence and trend change and gas and time information at the convergence position, a workshop multi-modal toxicity anomaly monitoring result is obtained. According to the method, gas fluctuation characteristics are captured by recognizing the concentration change direction and the reversal amplitude, a behavior combination is constructed by combining time and space information, the linkage recognition capability between nodes is enhanced, a path sequence is constructed by depending on the trend direction and the node sequence to present a diffusion track, and extension and mutation nodes are extracted by superposing the residence state and the change trend. The dynamic monitoring range of toxic gas in multiple scenes is expanded, and correlation analysis of behavior traceability, path tracking and abnormal gathering areas is supported.

The invention discloses a method for carrying out estimation and diffusion prediction on a toxic cloud cluster based on ensemble Kalman filtering. The method comprises the following steps: S1, adopting basic data, and carrying out modeling on toxic gas diffusion through the basic data; s2, on the basis of the model established in the S1, generating concentration data of each discrete point in the grid region through model simulation; s3, on the basis of ensemble Kalman filtering, constructing a system state vector through the concentration data obtained in S2, and calculating a system state error covariance to deduce a leakage position and a leakage amount; and S4, performing toxic cloud cluster diffusion prediction by using ensemble Kalman filtering, and outputting a prediction result. According to the method for performing estimation and diffusion prediction on the toxic cloud cluster based on the ensemble Kalman filtering provided by the invention, the prediction result of the diffusion model can be corrected under the theoretical guidance, so that the final prediction result is more accurate, and the problems that errors are continuously accumulated and the diffusion track is difficult to rectify in real time in the prior art are solved.

The invention provides a toxic gas intelligent early warning platform based on sensor monitoring, and relates to the technical field of gas monitoring. An initial two-dimensional material is set through a two-dimensional material setting unit; the doping module acquisition unit acquires a doping module; the doping processing unit outputs a doped two-dimensional material sample according to the doping module, sensor simulation is carried out through the sensor structure simulation platform, and a plurality of simulation sensors are output; the toxic gas sample collection unit collects toxic gas samples of a target monitoring environment; the adsorption capacity evaluation unit is used for evaluating the toxic gas adsorption capacity of the plurality of simulation sensors to obtain a preferable sensor; and the toxic gas early warning unit performs toxic gas early warning on the target monitoring environment according to the preferred sensor. The technical problem that the accuracy of the monitoring result is limited due to the fact that the configuration of the sensor cannot be adjusted according to the monitoring environment adaptability in existing toxic gas monitoring and early warning is solved, and the accuracy and the environment adaptability of toxic gas early warning are improved.

The invention discloses an engineering building detection method and system, and relates to the technical field of building fire detection and early warning. Through systematic area division and multi-dimensional sensor network monitoring, environment and equipment operation data of a key area can be collected in real time; and obtaining and evaluating a layout closeness index Ji, a cable overload coefficient Oi, an electrical load change index Li and a toxic gas leakage coefficient Ci of the ith monitoring area, thereby improving the early warning capability of the fire risk. Through combination of smoke diffusion analysis and fire risk index evaluation, the fire risk can be accurately judged, and a fire control instruction can be triggered in a targeted manner. Besides, based on a smoke diffusion index correction mechanism, the system can dynamically adjust the operation states of the spraying equipment and the ventilation facility, so that fire control precision and resource saving are realized, and the fire safety and emergency response efficiency of the building are effectively improved.

The invention relates to the technical field of gas monitoring, in particular to a toxic gas emission monitoring method and system for an electronic component workshop, and the method comprises the steps: constructing a hierarchical monitoring network in the electronic component workshop; the fixed monitoring nodes and the key area monitoring nodes are used for collecting poisonous gas concentration data and environment airflow velocity data of the positions where the fixed monitoring nodes and the key area monitoring nodes are located, meanwhile, the mobile inspection nodes are used for collecting poisonous gas concentration data and real-time space coordinate data on a moving track, and the data are packaged into a monitoring data packet to be transmitted to the central processing platform. Then preprocessing and standardization processing are carried out, a concentration distribution cloud picture of a workshop is dynamically generated based on standardized data, and when the concentration data exceed a preset concentration absolute value threshold value, traceability analysis is carried out to determine the position of a leakage source; and triggering trend early warning based on the concentration change trend, triggering grading alarm based on the concentration absolute value and / or the traceability analysis result, and performing rapid traceability and early warning on the toxic gas in the electronic component workshop.

The invention relates to a tunnel toxic gas detection method, device, equipment and system and a storage medium, and belongs to the technical field of information detection.The method comprises the steps that concentration measured values of multiple toxic gases collected by multiple gas sensor nodes in a tunnel are obtained; inputting the concentration measurement values of the various toxic gases into a linear minimum mean square error estimation model, and outputting the position of a gas leakage source and an estimated value of a gas release rate; inputting the estimated value of the gas leakage source parameter into a gas diffusion model, and outputting a gas diffusion parameter; the gas diffusion model is a static smoke plume gas diffusion model based on turbulence diffusion, and the gas diffusion parameters comprise the diffusivity of a gas leakage source; and inputting the estimated value of the gas leakage source parameter, the gas diffusion parameter and the standard-exceeding concentration threshold value of the toxic gas into a finite element prediction model, and outputting a toxic gas standard-exceeding prediction result. According to the invention, continuous monitoring and dynamic early warning of the toxic gas in the tunnel can be realized.

The invention provides a granary safety intelligent early warning method and device, relates to the field of data processing and early warning, and solves the technical problems that the existing granary operation risk detection is not accurate enough, and the conditions of incomplete identification, false alarm or missing alarm are easy to occur. The method comprises the following steps: collecting multi-source time sequence data in a granary, and constructing environmental safety time sequence characteristics based on oxygen concentration time sequence data, toxic gas concentration time sequence data and smoke state time sequence data; based on the temperature and humidity time sequence data and the grain pile temperature time sequence data, risk trend time sequence characteristics are extracted; constructing a risk time sequence based on the environmental safety time sequence characteristics, the risk trend time sequence characteristics and the personnel access information time sequence data; carrying out fusion modeling on the risk sequential sequence through Transform, and identifying a risk level; and when the risk level reaches a preset threshold value, the system controls the bin gate access control to execute opening or closing operation, and synchronously triggers linkage early warning treatment. The method is used in the granary operation safety early warning process.