1702 results about "Combustible gas" patented technology

The invention discloses a self-adaptive calibration system and method for a combustible gas sensor. The self-adaptive calibration system and method are suitable for a catalytic combustion type combustible gas sensor. The system comprises a basic calibration unit, a real-time monitoring unit, a drift detection and compensation unit and an output adjustment unit. The basic calibration unit is used for carrying out basic calibration on the sensor and determining an initial sensitivity coefficient, zero offset and response time of the sensor; the real-time monitoring unit is used for monitoring real-time parameters of the sensor under different environmental conditions; the drift detection and compensation unit is used for establishing a sensor performance parameter drift model and calculating a calibration compensation coefficient; the output adjusting unit is used for adjusting the voltage output value of the sensor in real time according to the calibration compensation coefficient; the method can adapt to environment change for real-time calibration, effectively compensates sensor drift, improves measurement precision and reliability, prolongs the service life of the sensor, reduces maintenance cost, and improves system safety.

The invention provides a blast suppression method and system for an underground cavity of a pumped storage power station. The method comprises the following steps: configuring and deploying a multispectral gas sensor array; carrying out gas explosion limit calculation and risk assessment; calculating the risk level of explosion by using the prediction model; performing graded explosion suppression operation by using a graded explosion suppression execution module; combustible gas is guided to enter an inerting area by utilizing a space flow guide optimization module; and the ignition source blocking module is used for cooperative control to block an ignition source. The technical problems of low mixed gas explosion risk prediction and monitoring precision, low explosion suppression efficiency, slow response speed and relatively high operation and maintenance cost are solved.

The invention provides a factory energy safety dynamic monitoring method based on the Internet of Things and multi-mode perception, and belongs to the technical field of industrial Internet of Things. Comprising the following steps: acquiring electrical parameters, temperature data, combustible gas leakage concentration and vibration signals of equipment in real time; carrying out aggregation and protocol conversion on the electrical parameters, the temperature data, the combustible gas leakage concentration and the vibration signals through a multi-protocol intelligent gateway, and uploading the electrical parameters, the temperature data, the combustible gas leakage concentration and the vibration signals to a locally deployed edge computing node in a preset period; preprocessing the received data at the edge computing node, and generating a quantitative risk index based on a dynamic risk assessment model fusing the real-time state of the equipment, the historical aging trend and the environmental parameters; and carrying out risk grade judgment according to the quantitative risk index, and executing a corresponding grading response. Through fusion of multi-modal sensing data and edge intelligence, comprehensive sensing, real-time quantitative evaluation and hierarchical intelligent response of factory energy safety risks are realized.

The invention provides a combustible gas leakage protection system, which is characterized in that a control module of the combustible gas leakage protection system judges whether the concentration of combustible gas is lower than a first concentration threshold value or not when receiving concentration information detected by a concentration detection module, and generates a first control instruction when the concentration of the combustible gas is not lower than the first concentration threshold value. The control module further generates a second control instruction when the combustible gas concentration is not lower than a second concentration threshold value and the flame detection module detects that no open fire exists, and generates a third control instruction when the combustible gas concentration is not lower than the second concentration threshold value and the open fire exists. And the protection module executes different protection actions according to different control instructions of the control module. According to the application, the response scheme is divided into three grades, and corresponding protection strategies are implemented according to the detection signals of different grades, so that the response sensitivity and accuracy when the combustible gas leaks can be remarkably improved.

The invention belongs to the technical field of refrigerants, and provides a mixed refrigerant for replacing R290 and a preparation method and application thereof, the mixed refrigerant comprises a first component, a second component and a third component; the first component is trans-1, 2-difluoroethylene, the second component is 2, 3, 3, 3-tetrafluoropropene, and the third component is trifluoromethyl methyl ether; compared with R290 refrigerants in the prior art, the mixed refrigerant has the advantages that flammable and explosive components do not exist, and high-risk combustible gas clusters cannot be formed due to density layering after leakage, so that the mixed refrigerant has high safety performance, and the safety level can be not lower than A2L; the mixed refrigerant has the environment-friendly characteristic of low GWP, the GWP is smaller than or equal to 150, and the environment-friendly requirement is met; the thermophysical property and the refrigeration and / or heating cycle performance of the mixed refrigerant are similar to or better than those of R290; the mixed refrigerant can be used for directly replacing an R290 refrigerant.

The invention discloses a coal seam group occurrence three-area linkage gas extraction method. Firstly, a coal seam is divided into an underground coal gasification area, a pressure relief permeability increasing area and an original extraction area; in the initial stage of underground coal gasification, in the process that high-temperature combustible gas generated by underground coal gasification is injected into a ground drilling well, the high-temperature combustible gas and a coal body are subjected to heat transfer, so that the temperature of the coal body is increased, and gas desorption is enhanced; under the continuous coupling action of high temperature and high pressure of the high-temperature combustible gas, the permeability of the coal body is improved; in the process that high-temperature combustible gas is injected into the ground drilling well, gas extraction is continuously conducted on other adjacent drilling holes; under the condition that gas injection and gas extraction are sequentially and circularly performed in ground drilling, the coal body is circularly impacted by positive pressure-negative pressure alternating aerodynamic force, and further fracturing of the coal body is facilitated; under the triple effects of high-temperature coal body gas desorption strengthening, coal body permeability increasing and gas displacement, large-flow and high-quality extraction of deep coal seam gas is finally achieved.

The invention provides a portable fire blast risk dynamic identification and danger tracing method and terminal, and the method comprises the steps: collecting positioning data in real time through a GNSS positioning module; a high-speed analog-to-digital conversion chip ADC is used for carrying out high-frequency and synchronous processing on the gas concentration collected in real time; collecting field environment parameters in real time; performing dynamic threshold intelligent judgment to obtain a leakage judgment result, and executing a grading early warning mechanism; recording an inspection track in real time, and carrying out space gas concentration gradient analysis to obtain a gas concentration gradient; calculating a built-in space distance; judging the leakage direction according to the gas concentration gradient data, and intelligently tracing the leakage source according to the leakage judgment result; and uploading the security data to the cloud. According to the invention, the limitation of static and single-threshold alarm of an instrument is solved, and the technical problems of difficulty in spatial continuous sensing and automatic tracing positioning of gas leakage abnormity in a complex inspection environment with dynamic changes of multi-component combustible gas and environmental parameters are solved.

The invention discloses an energy storage multilayer intelligent fire early warning system based on battery module signal acquisition, and the system achieves the module-level multi-parameter real-time monitoring through integrating VOC, combustible gas, temperature and smoke sensors in a battery module. A multi-stage monitoring network is constructed by combining a container-level smoke-sensing / temperature-sensing detector and video monitoring; based on combined judgment of the threshold value and the rising speed, a third-level early warning strategy (first-level reporting, second-level manual fire extinguishing and third-level automatic fire extinguishing) is executed; after fire extinguishing, parameters are continuously monitored, secondary injection is automatically triggered, and after-combustion is effectively restrained. The problems of response delay (more than 20 seconds), module monitoring deficiency and high reburning rate in the prior art are solved, and thermal runaway second-level (less than or equal to 1 second) response and accurate prevention and control are realized.

The invention relates to a low-concentration combustible gas concentration system and an operation method thereof, and the low-concentration combustible gas concentration system comprises a flame arrester, a mixing cavity, a non-combustible gas supplementing tank, a gas compressor, a primary separator, a light component secondary separator, a heavy component secondary separator and a concentration regulating valve, the premixed gas sequentially passes through a primary separator, a light component secondary separator and a heavy component secondary separator under the action of a gas compressor to carry out concentration operation on light component combustible gas, non-combustible gas is returned to a mixing cavity, and heavy component gas is discharged into the atmosphere; the invention aims to solve the technical problems of large occupied area and volume, low operation efficiency and poor separation effect of the existing combustible gas separation equipment.

The invention discloses an agriculture and forestry solid waste baking semi-carbonization treatment process which sequentially comprises the steps of crushing, drying, feeding, preheating and drying, destructive distillation and carbonization, discharging, gas recovery and the like. The device comprises a spiral feeding cylinder, a feeding dispersing mechanism, a rotary inner cylinder, a fixed inner cylinder, a carbonization outer cylinder, a hot air inlet pipe, an air outlet, a waste heat return pipe, a vertical cylinder, a spiral discharging cylinder and a matched water cooling device, the rotary inner cylinder drives a fluted disc to rotate through a driving gear so as to achieve material turning, and the feeding dispersing mechanism adjusts the feeding position to avoid accumulation; the air outlet and the air outlet box recover the combustible gas and convey the combustible gas back to the combustion system for heating the carbonization outer cylinder; according to the invention, the cooperative operation effects of uniform drying of materials, full utilization of heat energy, improvement of carbonization efficiency and continuous and safe discharging are realized.

The invention discloses an explosion-proof three-phase asynchronous motor which comprises a shell, a front end cover, a rear end cover, a stator, a rotor and a rotating shaft, wherein the stator, the rotor and the rotating shaft are arranged inside the shell. The radiating fins are arranged on the outer wall of the machine shell, the reciprocating lead screw transmission mechanism is connected through the supporting frame, the cleaning plate is driven to do reciprocating motion along the guide rod, dust on the radiating fins is automatically removed through the arc-shaped brush plate, and efficient radiating is ensured. The cooling box is arranged below the machine shell, the cooling box and the machine shell are designed to share the wall, an internal cooling pipe conveys cooled gas into the machine shell through a gas circulation system, the temperature is forcibly reduced, combustible gas is dispersed, and the anti-explosion safety is improved. The eccentric wheel on the rotating shaft drives the piston pipe to reciprocate, one-way flow of gas is achieved in combination with the non-return cover plate structure, and active gas circulation is formed in cooperation with the annular gas inlet channel and the gas outlet hole. The motor integrates self-cleaning heat dissipation and gas circulation cooling functions, adapts to high-temperature, high-humidity and closed environments, effectively reduces energy consumption, prolongs the service life of the motor, and is suitable for flammable and explosive places.

The invention discloses a battery module ejection fire-fighting device in a liquid cooling energy storage system battery compartment and a working method, and belongs to the technical field of energy storage battery fire fighting. Comprising an ejection mechanism used for ejecting the liquid cooling energy storage battery module along a battery rack when being triggered, ejection window plates used for plugging ejection windows formed in a container cabin door of the liquid cooling energy storage system in a one-to-one correspondence manner, and a control mechanism used for linking the liquid cooling energy storage system, the ejection mechanism and the ejection window plates. Hydraulic driving and explosion-proof motor linkage control are adopted, the popping action of the battery module is completed immediately after a thermal runaway signal is detected, through the collaborative design of the popping mechanism and the popping window plate, high-temperature flue gas convection and a combustible gas diffusion path are effectively cut off, and thermal runaway spreading is avoided; meanwhile, through three-dimensional monitoring of the battery module-level composite detector and the cabin-level monitoring assembly, a multi-level detection system is formed, and rapid physical isolation and directional removal of the thermal runaway battery module are achieved.

The invention relates to a multi-parameter compensation type combustible gas detection method and system based on a thermal conductivity coefficient principle. The method comprises the following steps: measuring heat conductivity coefficient change of target gas by using a thermal conductivity detector to calculate gas concentration; the environment isolation technology is adopted to maintain constant temperature and humidity in the detection cavity; collecting data through an embedded processor, and dynamically correcting a gas concentration calculation result based on a pre-trained compensation algorithm model; and executing grading alarm control according to the compensated concentration value. The compensation algorithm model adopts a BP neural network model based on a particle swarm optimization algorithm. The system comprises a power supply circuit, a communication interface, a thermal conductivity sensor module, a constant temperature and humidity detection cavity, an embedded processor, a compensation algorithm module and a linkage control module, and a software multi-task hierarchical scheduling framework is also constructed. The device is suitable for hydrogen detection, and can effectively improve the accuracy and reliability of gas detection.

The invention belongs to the technical field of gas pipeline fault prediction, and discloses a pipe gallery gas pipeline defect identification method and system and an inspection robot. The method comprises the following steps: synchronously sensing multi-dimensional time sequence data of a pipe gallery gas pipeline, wherein the multi-dimensional time sequence data comprises gas pipeline time sequence data, combustible gas concentration time sequence data and environment time sequence data; performing structured processing and feature extraction on the multi-dimensional time series data, and outputting a multi-modal feature data set for defect identification and risk assessment; performing joint modeling based on the multi-modal feature data set to obtain a fusion interaction embedding vector, and identifying a coupling abnormal state with causal correlation or collaborative performance between the structural defect and the trace gas leakage based on the fusion interaction embedding vector; based on the fusion interaction embedding vector and the coupling abnormal state, the early defect type of the pipe gallery gas pipeline is recognized; the early-stage defect identification accuracy and response speed of the pipe gallery gas pipeline are remarkably improved.

The invention relates to the technical field of hydrogen detection, in particular to a hydrogen detection and measured value correction method based on a hydrogen sensor, and the method comprises the following steps: analyzing the change trend of voltage data in an active unit at each moment and in a preset duration before the moment, and the correlation of the voltage data between the active unit and a reference unit; determining hydrogen purity responsivity; the hydrogen compensation confidence coefficient is determined by analyzing the change trend of the hydrogen purity responsivity at each moment and all moments in a previous preset time period and the average distribution and dispersion degree of the hydrogen purity responsivity, so that the hydrogen concentration at each moment is corrected. According to the invention, the influence of cross interference of other combustible gases except hydrogen and baseline drift of the hydrogen sensor on hydrogen detection and concentration measurement is solved, and the long-term stability of hydrogen concentration monitoring and the accuracy and reliability of a measurement result are improved.

The invention relates to the technical field of fire-fighting management, and discloses an intelligent fire-fighting management method and system based on a multi-modal large model, and the method comprises the steps: 1, collecting multi-modal perception data in a field environment, and transmitting the multi-modal perception data as input data to a multi-modal semantic recognition module; and 2, performing modal analysis and semantic fusion on the input data by using the multi-modal semantic recognition module, and generating a unified semantic description containing fire state elements. According to the invention, a multi-modal perception data semantic fusion mechanism and a multi-modal large model-driven fire behavior recognition framework are adopted, and data of different modals from a camera, a temperature and humidity sensor, a smoke detector and combustible gas monitoring equipment are input into a unified semantic recognition module, so that unified fire behavior state semantic description is constructed; and the technical effects of multi-source data complementation and semantic-level collaborative recognition of the fire state are achieved.

The invention provides an expanded carbon layer reinforced water-based fireproof coating as well as a preparation method and application thereof, and belongs to the technical field of fireproof coatings. By combining the high dispersibility and high-temperature-resistant stability of modified titanium dioxide, the gas-phase / condensed-phase flame-retardant effect of phosphorus-containing phytic acid and the ceramifiable ability of boron / silicon compounds, the high-performance and environment-friendly expanded carbon layer reinforced water-based fireproof coating is developed on the basis of a traditional'ammonium polyphosphate-pentaerythritol-melamine 'expanded flame-retardant system. A coating sample prepared from the water-based fireproof coating can form a high-quality expanded carbon layer during combustion, is high in density, still keeps a complete structure under severe conditions such as high temperature and spray combustion, can provide long-term stable fireproof protection for a base material, can effectively inhibit release of combustible gas and flue gas particles, and improves the practical application value.

The utility model relates to a raw gas source upgrading system for an internal heating type vertical furnace. The raw gas source upgrading system comprises a dry distillation furnace, a carbon dioxide removal device and a pure oxygen preparation device, the device further comprises a first multi-stage mixer, a second multi-stage mixer, a gas sampling analysis tube and a gas component detector. Pure oxygen is adopted as a combustion improver, so that the content of nitrogen in the raw gas is greatly reduced, and the application scene of coal gasification production and deep processing of the internal heating type vertical furnace is expanded; the components of combustion-supporting gas, combustible gas and inert gas in mixed gas in a lattice wall of the dry distillation furnace are controlled by adopting double-circulation control of carbon dioxide and recirculated gas, the combustion intensity and the uniformity degree are strictly controlled under the condition that dry distillation heat supply is met, and scabbing and burning loss of a dry distillation furnace body are avoided.

The invention is applicable to the technical field of gas isotope detection, and provides a wide-range gas isotope detection system and method based on TDLAS (tunable diode laser absorption spectroscopy), the detection system comprises a primary gas dilution system, a secondary gas dilution system, a control unit and a combustible gas isotope detection system; the primary gas dilution system comprises a first regulating valve and a first detection module, the first regulating valve is connected with a one-way valve, the one-way valve and the first detection module are both connected with an anti-explosion sensor, and the anti-explosion sensor is connected with a discharge valve; the secondary gas dilution system comprises a second regulating valve and a flow-limiting valve, the flow-limiting valve is connected with a second detection module, the second regulating valve is also connected with the second detection module, and the second detection module is connected with the combustible gas isotope detection system; the control unit comprises a data processing and tracing module and an anti-memory effect module. According to the system, through cooperation of two stages of dilution systems, wide-range, high-precision and high-robustness carbon isotope detection from percentage content to ppb level is realized.

The invention provides a multi-sensor adaptive anti-interference working well environment detection system and method, and the system comprises a single-chip microcomputer control panel, a temperature and humidity monitoring sensor, a four-in-one combustible gas detector, a dust particle detector, a differential pressure transmitter, and a cloud server. The temperature and humidity monitoring sensor, the four-in-one combustible gas detector, the dust particle detector and the differential pressure transmitter are in circuit connection with the single-chip microcomputer control panel, the single-chip microcomputer control panel is in wireless communication with the cloud server, the detection method dynamically adjusts the weight distribution of the sensor through the feature level attention module, a lightweight neural network and a hard redundancy check rule are combined, and the detection accuracy is improved. Compared with the prior art, the method has the advantages that the low false alarm rate is kept, the model size is low, and the method is suitable for industrial field deployment.

According to the infrared combustible gas sensor and the method thereof, firstly, original voltage signals of a measurement channel and a reference channel and original signals of a temperature sensor are subjected to digital filtering, basic concentration is calculated based on the voltage of the measurement channel and the voltage of the reference channel after filtering, and dynamic impact detection is carried out; obtaining a reference channel signal change rate; furthermore, a self-adaptive dynamic compensation gain is introduced, the gain is dynamically adjusted according to the reference channel signal change rate and the filtered reference channel voltage, and the basic concentration is comprehensively compensated by combining the filtered temperature, so that unbalance caused by thermal shock in the photoelectric system is reflected more directly and more quickly. Therefore, the measurement precision and the data reliability of the infrared combustible gas sensor in a complex and changeable environment can be remarkably improved, and more accurate and more robust effects of compensation can be realized under different working conditions.

The invention provides a positive electrode active material and a preparation method thereof, a positive plate and a battery. An inner slow-release layer in the positive electrode active material coats at least part of the surface of a positive electrode active material main body, and an outer inhibition layer coats at least part of the surface of the inner slow-release layer; the inner slow-release layer comprises lithium carbonate and M metal oxide, and the outer inhibition layer comprises at least one of nitride, fluoride and oxide of inhibition elements; the inhibiting elements comprise at least two elements in VA, IVA family, IIIA family, IIA family and IVB family. The lithium carbonate in the inner slow-release layer can release non-flammable gas mainly containing CO2, the metal oxide can inhibit release of lattice oxygen in the positive electrode active material main body at high temperature, and the proportion of combustible gas is reduced. The lithium carbonate is provided with a temperature decomposition window, so that the release time of carbon dioxide pressure relief for the first time can be accurately controlled. And the outer inhibition layer can avoid the contact between the positive electrode active material main body and the electrolyte, so that the proportion of the combustible gas is further reduced.

The invention discloses a method and system for producing regenerated activated carbon based on carbonized material activation heat supply coupling, and relates to the technical field of activated carbon. Comprising the following steps: adding dried waste activated carbon and a preheated carbonized material into a vertical multi-section activation furnace to obtain an activated product; the tail gas of the vertical multi-section activation furnace is combusted and fed into a waste heat boiler to produce water vapor; heating is stopped after the vertical multi-section activation furnace is heated to the activation temperature, and then activation self-sustaining heat balance is formed by means of the following heat sources: combustion heat release of volatile matter in a carbonized material, combustion heat release of H2 / CO generated by water vapor activation reaction, oxidation combustion heat supply of waste activated carbon adsorbate and combustion heat supply of non-condensable combustible gas generated by dehydration of waste activated carbon dry waste gas; the carbonized material and the waste activated carbon enter the same activation furnace device in a synergistic compatibility manner, the carbonized material and the waste activated carbon interact with each other, the activation effect is improved, and the vertical multi-section activation furnace can realize self-sustaining heat balance, so that the energy cost is greatly reduced.

The invention relates to the technical field of safety supervision and intelligent early warning, in particular to a multi-mode alarm safety supervision system and a control method thereof.The control method comprises the following steps that 1, environment smoke concentration, combustible gas concentration, CO concentration, door and window opening and closing states, human body motion information, voiceprint signals, environment temperature and humidity, H and user posture information are obtained, respectively representing three-axis acceleration and angular velocity vectors, and adding a timestamp t to the obtained data; step 2, filtering the collected original data at the edge gateway based on a preset threshold value of an ith sensor, and identifying a single sensor abnormal event corresponding to the obtained data; and step 3, integrating the lightweight neural network model at the edge gateway, and carrying out glass breaking and call-for-help feature recognition on the collected voiceprint signals, in the invention, differentiated and local and cloud seamless linkage responses can be implemented for events with different severity, so that the reliability, the real-time performance and the availability of the system are remarkably improved.

The invention relates to a toughened modified epoxy resin material and a preparation method thereof, and belongs to the technical field of high polymer materials. The toughened modified epoxy resin material comprises the following components in parts by weight: 90-120 parts of epoxy resin, 8-25 parts of a curing agent, 1-3 parts of a diluent, 0.5-5 parts of a curing accelerator, 4-18 parts of graphite, 5-15 parts of a modified toughening agent and 1-5 parts of a modified flame retardant, in the modified flexibilizer, a benzene ring and carbonyl of a polyimide structure endow the material with excellent heat resistance, intertwining between chains is avoided, embrittlement is avoided, the material and polyurethane are synergistically toughened, and a flexible-Si-O-Si-chain segment relieves thermal stress generated in the resin and improves the tensile strength; benzoxazine in the modified flame retardant contains a nitrogen element, releases non-combustible gas during combustion, forms a carbon layer at high temperature and covers the surface of the material, so that the flame retardance is improved; the toughened and modified epoxy resin material prepared by the invention not only has good toughening and heat-resisting effects, but also has an excellent flame-retardant effect.

The invention provides a fire identification method based on LSTM model and multi-sensor data fusion, and the method comprises the steps: collecting smoke concentration data, temperature data and combustible gas concentration data in a scene, and forming multivariable time series data; sequentially executing data cleaning, data normalization and data relevance enhancement operations to obtain preprocessed data; calculating eigenvalues and eigenvectors based on a Gaussian radial basis function, and screening the eigenvectors of which the variance contribution rates meet a preset condition to obtain fusion features; executing MK test on a time sequence in the preprocessed data, and calculating a standard normal statistical variable as a trend factor; and inputting the fusion feature and the trend factor into an LSTM model combined with an attention mechanism, processing long sequence information through a gate structure, endowing key information with a high weight in combination with the attention mechanism, and outputting a fire identification result. According to the invention, the sensitivity of fire monitoring can be effectively improved, and the false alarm rate can be reduced.

The invention relates to the field of electrical digital data processing, in particular to a boiler atmosphere field state monitoring method, which comprises the following steps: collecting concentration data of combustible gases in a boiler water wall area through measuring equipment, carrying out space-time calibration on the concentration data of multiple measuring points, constructing a data processing model based on a graph convolutional network, and training the data processing model. Obtaining a trained data processing model; the method comprises the following steps: collecting concentration data of each combustible gas in a boiler water-cooled wall area through measuring equipment to obtain new multi-measuring-point concentration data; and after the steps are executed, inputting the data into a trained data processing model to obtain a combustible gas predicted concentration matrix of each measuring point at a future moment, continuously monitoring the combustible gas predicted concentration matrix of each measuring point at the future moment, and when the predicted concentration of any measuring point exceeds a safety threshold value, triggering an early warning signal and positioning a high-risk area. An existing boiler atmosphere field state monitoring method has the problem of low prediction credibility, and the method provided by the invention is high in prediction credibility.

The present application belongs to the field of smelting coal gas recovery, and particularly relates to an optimized control method and system for combustible gas recovery. The method divides the smelting process into N measurement time periods, and calculates the average secondary combustion coefficient of each time period in real time. Meanwhile, M target smelting time zones and their weights are set, and a dynamic target value sequence is established. Based on the initial fan speed, the measured coefficient is adjusted through multiple iterations of the furnace, and when the measured coefficient is greater than the target value, the speed is reduced in steps, and a thermal imager and a differential pressure instrument are introduced to monitor the smoke emission. A smoke emission rate statistics and tolerance threshold judgment mechanism is established to trigger speed backtracking adjustment, and finally the average secondary combustion coefficient of each time period is minimized to generate an optimal fan speed model. The present application maximizes the improvement of the calorific value of coal gas and the recovery of carbon monoxide under the premise of preventing smoke from the furnace mouth.

The invention provides an electrical cabinet fire extinguishing method based on multi-sensor collaborative analysis, and relates to the technical field of electrical cabinet fire extinguishment. Infrared data of electrical equipment are identified by establishing an infrared temperature identification model, and the electrical equipment is identified according to the identified temperature, position relation, electrical connection relation and average temperature in a cabinet of the electrical equipment; the equipment spontaneous combustion risk of the electrical equipment is assessed by calculating a spontaneous combustion assessment value, a fire assessment value is calculated according to the spontaneous combustion assessment value, position distribution, combustible gas concentration, oxygen concentration and arc probability of the electrical equipment, and the loss estimation coefficient of the electrical room is judged according to the emergency coefficient, the fire assessment value and the fire grade of the electrical cabinet. And constructing a fire extinguishing relation model among the fire extinguishing agent, the fire assessment value and the fire behavior grade, and calculating the use dosage of the fire extinguishing agent of each electrical cabinet by taking the minimum loss estimation coefficient of the electrical room as a target and the residual dosage and the maximum safety concentration of the fire extinguishing agent as constraint conditions.

The invention provides a limited space operation safety protection method and device, and belongs to the technical field of safety production, and the device comprises an illumination module which employs a head-mounted outdoor lamp induction miner's lamp and is used for providing illumination for an operator in an operation process and providing a light source for a camera; the gas detection module adopts an oxygen, carbon monoxide, hydrogen sulfide and combustible gas four-in-one sensor module and is carried by an operator; the camera monitoring module adopts a portable monitoring camera, videos can be stored and forwarded, and a limited space operation management and control process is migrated to an intelligent management and control platform for real-time online management; a 5G communication technology and a virtual reality (VR) technology are introduced into limited space operation safety management and control; defects of existing equipment are improved, for example, vital sign monitoring content of operating personnel is added, a UWB personnel positioning function is achieved, and video and sound of an operating site and various monitoring data are forwarded and stored in real time for future reference.