185 results about "Gas composition" patented technology

The invention discloses a gas purification real-time monitoring method, system and device and a medium, and belongs to the technical field of gas purification. The method comprises the following steps: a data acquisition stage: acquiring inlet gas flow and outlet component data; in the adsorbent state monitoring stage, the adsorbent state is monitored in real time through the monitoring point position in the adsorption barrel; in the adsorption capacity calculation stage, the residual adsorption capacity is predicted through an impurity penetration curve model on the basis of inlet flow and outlet component data, and bidirectional verification and correction are carried out on the residual adsorption capacity and an internal monitoring state; in the regeneration time prediction stage, the optimal regeneration time is dynamically predicted according to discharged gas component analysis and residual adsorption capacity; in the real-time regulation and control stage, parameters of the purifier and the regenerative heater are adjusted in real time according to the prediction result. Accurate evaluation of the state of the adsorption cylinder and intelligent optimization of the regeneration process are achieved, the utilization rate of the adsorption cylinder is remarkably increased, and the total energy consumption of regeneration is reduced.

The invention belongs to the technical field of industrial combustion safety control, and provides a double-channel industrial furnace gas combustion safety interlocking control system which comprises a gas / air flow ratio dynamic monitoring module, a flue CO concentration online detection module, a double-channel data conflict arbitration processor and a visual human-computer interface. Aiming at the prominent problems of incomplete combustion of coal gas, carbon deposition, detonation risk and the like which are easy to occur under the working condition of accelerated temperature rise, the system integrates visual double-insurance safety control of dynamic calculation of a flow ratio and real-time analysis of tail gas components, and all-directional safety protection in the combustion process is realized through a multi-parameter cooperative monitoring and intelligent interlocking mechanism; the detonation risk is obviously reduced; meanwhile, the air-fuel ratio fluctuation is accurately controlled within the range of + / -5%, and the carbon deposition phenomenon is effectively reduced; and remarkable economic benefits are created while reliable operation of equipment is guaranteed.

The invention relates to a stratum gas sampling method, belongs to the technical field of drilling equipment, and solves one of the problems that in a drilling rescue gas production method in the prior art, decision-making and rescue efficiency is influenced, the matching precision of gas production and drilling depth is low, gas purity is poor, detection data is distorted, and gas transmission efficiency is influenced by an unsmooth gas path along with vibration of a drill bit. The method comprises the steps that 1, a drilling point position is selected, and a drilling unit is controlled to drill downwards to the designated depth of the stratum; 2, a sampling unit extends into the designated depth along with the drilling unit, and the sampling unit is started to collect formation gas; 3, conveying the collected gas to a detection unit, and analyzing gas components through the detection unit; and 4, displaying an analysis result on a display unit, and making a decision by an operator. Drilling and gas production are integrated, the matching precision of gas production and drilling depth is improved, gas transmission is smooth, and the detection precision is high.

The invention discloses a water mist nozzle adjusting method, computer equipment and water mist fire extinguishing equipment. The method comprises the steps that environment information of a target fire area is collected, and the environment information comprises at least one of gas components, temperature distribution and a flame profile; processing the environment information based on a preset deep learning algorithm, and determining fire features; determining a target angle of a water mist nozzle based on the fire features; and adjusting the water mist nozzle based on the target angle. The technical problem that at present, a fixed spray head is usually adopted for fire extinguishing in limited spaces such as underground tunnels, hidden areas such as cable interlayers cannot be covered due to the fixed angle, and fire reignition is caused is solved.

A calorific value derivation system is provided with a gas supply facility having a first transmission control unit for transmitting gas component information to a center server, a center server having: an information calculation unit for calculating the gas component information of the gas supply facility, and a gas meter for calculating the gas component information of the gas supply facility; a calculation unit that calculates fuel gas heat relationship information indicating a relationship between a characteristic of the fuel gas and a heat generation amount on the basis of the fuel gas component information, and recalculates the fuel gas heat relationship information in accordance with a change in the fuel gas component information; and a second transmission control unit that transmits the gas heat relationship information to a gas meter, the gas meter having: a flow rate measurement unit that measures the flow rate of the gas on the basis of the characteristics of the gas; a heat coefficient calculation unit that calculates a heat coefficient on the basis of the gas heat relationship information; a calorific value acquisition unit that acquires instantaneous calorific values on the basis of the flow rate of the fuel gas and the calorific value coefficient, and that acquires the calorific value of the fuel gas by integrating the instantaneous calorific values at predetermined time intervals; and a third transmission control unit that transmits the flow rate and the heat generation amount to the center server.

The application provides a kind of for coal mine stoping working face goaf gas detection communication device, including side sealing block and plugging wall, detection communication pipe, it is arranged in the through hole inside the plugging wall;And pipe plug, detachably arranged in one end of the detection communication pipe, when needing to determine the gas in stoping working face goaf, pull out pipe plug, connect detection communication pipe with gas detector and carry out gas detection, pipeline support assembly, including lateral support assembly and horizontal support assembly, pipeline support assembly is arranged at the junction of the communication pipe both sides and plugging wall.The application passes through the through hole of the plugging wall of detection communication pipe, when needing to determine the gas in stoping working face goaf, pull out pipe plug, connect detection communication pipe with gas detector, can determine the gas composition in this area, greatly improves the gas detection efficiency in stoping working face goaf, and has important significance for improving the management level of mine fire prevention.

The invention provides a carbon emission accounting method in an agricultural waste gas-carbon co-production process, and belongs to the technical field of agricultural waste gas-carbon co-production. Establishing a carbon mass conservation mechanism equation based on the feeding carbon content, the gas production carbon content, the tar carbon content and the residue carbon content to describe a carbon element distribution rule, and intelligently predicting the tar generation amount and the methane conversion rate by utilizing a prediction model integrated temperature calibration mechanism; a tar pyrolysis kinetic equation is adopted to calculate the generation amount of carbon dioxide and light alkane in the tar secondary pyrolysis process, a carbon emission factor database covering different raw material types and operation conditions is established, and finally the total carbon emission is calculated through a carbon emission accounting comprehensive algorithm integration mechanism calculation, kinetic modeling and an intelligent prediction result. The technical problem of insufficient carbon emission accounting precision in the agricultural waste gasification process is solved.

A process for separating 1-butene from a C4 raffinate gas composition includes introducing the C4 raffinate gas composition to a reactor containing an adsorbent material and passing the C4 raffinate gas composition through the adsorbent material; adsorbing the 1-butene from the C4 raffinate gas composition onto the adsorbent material to separate the 1-butene from the C4 raffinate gas composition and form a residue gas composition; and desorbing the 1-butene by heating the adsorbent material after the adsorbing to form the 1-butene and regenerate the adsorbent material. The adsorbent material is at least one of a zeolite adsorbent and an alkali-modified zeolite adsorbent having at least 99% by weight selective towards 1-butene for adsorption in comparison to iso-butene and iso-butane.

The utility model relates to the field of natural gas component analysis, in particular to a natural gas extraction gas component analysis device which comprises a gas chromatograph main body, a box door is mounted on the outer side of the gas chromatograph main body through a hinge, a control computer is arranged on the side face of the gas chromatograph main body, and a placing frame is fixedly mounted on the upper side of the control computer. A cover plate is mounted on the upper surface of the gas chromatograph main body through a hinge, a fixed frame I is fixedly mounted on the inner wall of the cover plate, a fixed frame II is arranged on the side surface of the fixed frame I, a soft sleeve is fixedly connected outside the fixed frame I and the fixed frame II, and the end part of the soft sleeve is connected with the gas chromatograph main body; according to the device, natural gas in two groups of gas bags can be subjected to component analysis at the same time, the threaded connection holes of the first fixing frame and the second fixing frame are provided with threads, the pressing blocks and the second electric push rods are arranged in the threaded connection holes, and after openings of the gas bags are inserted into the threaded connection holes, the pressing blocks are pushed by the second electric push rods to press inwards; and the opening of the air bag is pressed.

A method for enhanced mud gas logging includes receiving a gas stream; separating the gas stream into a first gas stream, a second gas stream, and a third gas stream; directing the first gas stream to a gas chromatography configuration including a gas chromatography column and a photoionization detector; detecting, by the photoionization detector, gas species in the first gas stream; separating, by a first separation component, water vapor from the second gas stream to produce a processed second gas stream; detecting, by a first mass spectrometer, gas species in the processed second gas stream; separating, by a second separation component, water vapor and other gas species from the third gas stream to produce a processed third gas stream; and detecting, by a second mass spectrometer, gas species in the processed third gas stream.

A method for separating a fluorocarbon gas, the method including feeding a mixed gas that includes two or more kinds of fluorocarbon gases having different molecular diameters from each other to a porous membrane and separating a gas composition in which a mixing ratio of one kind of a fluorocarbon gas selected from the two or more kinds of fluorocarbon gases is increased or a single gas, where the porous membrane includes a zeolite.

The invention discloses a transformer oil dissolved gas fault diagnosis method based on gas production rate and gas composition, and relates to the technical field of power equipment fault diagnosis. The method comprises the following steps: collecting concentration data of various characteristic dissolved gases in transformer oil; receiving the concentration data of the various characteristic dissolved gases and calculating the absolute gas production rate of each gas; according to the concentration data of the gas, establishing a mapping relation between fault features and fault types by adopting a machine learning algorithm; and judging whether fault early warning is triggered or not based on the change trend of the absolute gas production rate of each gas, and performing final fault type judgment by adopting a pentagonal method according to the mapping relationship between fault characteristics and fault types to obtain a fault diagnosis result and output the fault diagnosis result. The method is mainly suitable for sealed and oil-immersed transformers with the voltage class of 110kV and above, and can improve the accuracy and timeliness of transformer fault diagnosis in combination with big data analysis and gas production rate calculation.

The utility model provides a white spirit fermented grain sampling device, which belongs to the technical field of fermented grain sampling, and comprises an outer cylinder part, an inner cylinder part and a sampling part, the inner cylinder part is movably arranged in the outer cylinder, the inner cylinder part moves relative to the outer cylinder to close or open the sampling opening, and the inner cylinder part comprises an inner cylinder and a fixed bin arranged on the inner cylinder; the control box is detachably connected with the fixed bin through an air pipe, and the control box comprises a control box body; the air pump is arranged in the control box body and is used for pumping out gas at the fermented grain sampling part; and the gas sensor is connected with the output end of the gas pump and is used for recording the component and concentration data of the gas pumped out by the gas pump. According to the utility model, during sampling, gas components and concentration data of a sampling point can be detected on line, liquid water in fermented grains can be prevented from being in contact with the gas sensor, and the problem of detection deviation or failure is solved.

The invention discloses a mine fire intelligent monitoring and early warning auxiliary method and system, and the method comprises the following steps: S1, determining a monitoring point in a mine, arranging a sensor at a set position for detecting the condition of a mine region, and arranging a fault detector for carrying out the fault detection of the arranged sensor; according to the invention, a plurality of sensors are arranged to monitor the gas composition, concentration, hidden fire source, residual coal accumulation amount, wind speed and temperature change conditions in the oxidation zone, so that the factors of fire occurrence can be effectively and comprehensively analyzed in real time, the intelligent degree is improved, early warning and fire extinguishing treatment can be carried out in time when abnormity occurs, and the safety of the system is improved. The monitoring accuracy is improved, the potential safety hazard of a fire disaster is reduced, fault detection can be performed on the sensor in the monitoring process, and when a fault occurs, a person is reminded to handle the fault in time, so that the situation that the person having the fault of the sensor cannot know the influence on the monitoring accuracy in time can be effectively reduced.

The invention discloses a transformer oil dissolved gas fault diagnosis system based on gas production rate and gas composition, and relates to the technical field of power equipment fault diagnosis. The system comprises a data acquisition module used for acquiring concentration data of various characteristic dissolved gases in transformer oil; the gas production rate calculation module is used for receiving the concentration data of the various characteristic dissolved gases and calculating the absolute gas production rate of each gas; the big data analysis module is used for receiving the concentration data of the gas and establishing a mapping relation between fault features and fault types based on a machine learning algorithm; the fault diagnosis module is used for receiving the gas production rate calculation result and the big data analysis result and comprehensively judging the fault type of the transformer; and the result output module is used for receiving the fault diagnosis result and outputting the fault diagnosis result in a visual mode. The method is mainly suitable for sealed and oil-immersed transformers with the voltage class of 110kV and above, and can improve the accuracy and timeliness of transformer fault diagnosis in combination with big data analysis and gas production rate calculation.

The invention discloses an optical sensor for measuring gas components of mixing equipment, and belongs to the technical field of gas component detection. Comprising a plurality of arrayed measuring units, and each measuring unit comprises a laser and a detector; the measuring unit further comprises an optical assembly, an air suction cavity, an open type cavity and a main hollow roof prism which are sequentially arranged in the direction of an incident light beam emitted by the laser, the optical assembly is connected with the air suction cavity in a sealed mode, and the air suction cavity is communicated with the open type cavity; the laser and the detector are arranged at the same end of the optical assembly. The compact layout of each structure in the measurement unit is realized, and a plurality of reciprocating light paths are formed in the gas absorption cell formed by the suction cavity and the open cavity by utilizing the reflection of the main hollow roof prism and the optical component to the incident light beam, so that the absorption optical path required by various gas detection is ensured, and the detection accuracy is improved. And the measurement requirements of mixing equipment with various sizes are met.

The application is suitable for the technical field of gas sensing, and provides an overlapping spectrum separation device and method based on a new evolutionary deep learning model. First, elite reverse learning, golden sine algorithm and dynamic nonlinear inertia weight are combined to form an improved whale optimization algorithm. Then, the improved whale optimization algorithm is used to automatically optimize the core hyperparameters of the deep learning framework, so as to reduce the time cost of manual adjustment according to experience. Finally, the normalized overlapping gas absorption spectrum is separated through the optimal deep learning framework after training, so as to guarantee the separation accuracy of each gas. The method can effectively improve the measurement accuracy, the model response time can reach the millisecond level, and when the gas composition, concentration, temperature and pressure change, the corresponding absorption spectrum training data set can be replaced, so that a new method is provided for the simultaneous measurement of multi-component gases in different environments.

To provide a method for producing valuable materials, a valuable materials production apparatus, and a valuable materials production system that can reduce variations in the composition of the gas used to produce valuable materials and predict the amount of valuable materials produced. [Solution] According to one aspect of the present invention, a method for producing a valuable substance is provided, comprising: a first step of removing at least one of solid impurities and water-soluble impurities from a raw material gas containing hydrogen, carbon monoxide, carbon dioxide and impurities; a second step of removing gaseous impurities from the raw material gas after the first step; a third step of separating and recovering a carbon monoxide-containing gas containing carbon monoxide from the raw material gas after the second step; and a fourth step of producing a valuable substance from the carbon monoxide-containing gas.

The invention discloses a multi-parameter advanced environment detector, and belongs to the technical field of environment detection, the multi-parameter advanced environment detector comprises a shell, an air inlet cylinder, an air collecting pipe and an air pump, the bottom of the shell is provided with an air inlet hole, and a plurality of sensors are arranged in the shell; the top of the air inlet cylinder is connected with a plurality of detection pipelines, and the plurality of sensors are respectively arranged in the plurality of detection pipelines; the air inlet cylinder is provided with an air inlet treatment assembly used for pretreating air. The air inlet treatment assembly can be used for carrying out dust removal and dehumidification treatment on air, treated air enters a plurality of detection pipelines at the same time, and a plurality of sensors are used for detecting gas components respectively, so that the purpose of detecting various gas content parameters in the air is achieved; the service life and the detection precision of the sensor can be obviously prolonged; the plurality of sensors work independently, and the air detected by the sensors is not polluted and interfered by other sensors, so that the detection precision is higher.

This invention relates to the field of semiconductor process chamber cleaning technology, specifically to a semiconductor process chamber cleaning gas composition based on HFO-1447fz, a remote plasma cleaning method, and a closed-loop control method. The main cleaning gas is HFO-1447fz (CAS134190-34-8), accounting for 30% to 70% of the total molar fraction of the composition; the co-gas is selected from one or two of CF3I and C2F5I, accounting for 5% to 25% of the total molar fraction of the composition; the auxiliary regulating gas is selected from one or more of He, Ne, and Kr, accounting for 15% to 55% of the total molar fraction of the composition; the content of fluorine-containing unsaturated impurity compounds containing C=C or C≡C bonds in the cleaning gas composition is ≤0.08 mol. This invention uses HFO-1447fz as the main cleaning gas, combined with CF3I, C2F5I synergistic gases and rare gases for auxiliary regulation, to form a highly efficient cleaning system. The special molecular structure of HFO-1447fz can generate highly active fluorine radicals after plasma activation, which, together with the catalytic effect of iodine radicals, improves the removal rate of silicon-based dielectric deposits.

The invention provides a system and a method for measuring the competitive adsorption capacity of binary gas. The measuring system comprises a quantitative gas distribution system and a high-pressure adsorption instrument, the quantitative gas distribution system comprises gas distribution equipment, a gas cylinder, a high-pressure adsorption instrument, a gas inlet pipe, a balance and control equipment, one end of the gas distribution equipment is connected with the gas cylinder, the other end of the gas distribution equipment is connected with one end of the gas inlet pipe, the other end of the gas inlet pipe is connected with the high-pressure adsorption instrument, and the balance is arranged at the upper end of the high-pressure adsorption instrument; and the control equipment is connected with the gas distribution equipment and the high-pressure adsorption instrument. The technical problems that in the prior art, a gas sample needs to be taken for component analysis, and gas composition and balance pressure of an experiment system are affected can be solved, the technical problems that in the prior art, a chromatographic instrument is relied on, an experiment device is complex, and operation is tedious can be solved, and the gas density can be directly calculated so that the gas component proportion can be calculated; the experiment disturbance is avoided; only a high-pressure adsorption instrument is used, and chromatographic analysis is not needed.

The present invention aims to provide a separation apparatus that can relatively improve the purity of ethylene and propylene while relatively reducing the amount of coolant used, as well as a method for separating ethylene and propylene. [Solution] The separation apparatus according to the present invention is a separation apparatus for separating ethylene and propylene from a gas composition containing ethylene, propylene, water and an organic compound, and has a gas-liquid contact region in which the gas composition and a water-absorbing coolant are supplied from opposite directions and brought into countercurrent contact, and has a first separation unit that separates the gas composition into a gas component (A) containing ethylene and propylene and a liquid component (B) containing water, an organic compound and a water-absorbing coolant by countercurrent contact, and has a first return path that returns at least a portion of the liquid component (B) to an intermediate flow region between the upstream end and the downstream end in the flow direction of the water-absorbing coolant in the gas-liquid contact region, and a first cooling unit is interposed in the first return path to cool the returned liquid component (B).

The invention discloses a method for predicting an ammonium salt corrosion high-risk area of a catalytic cracking fractionation device. The method comprises the following steps: acquiring process structure parameters of a heavy oil catalytic cracking fractionation device to be detected and physical property data of reaction oil gas composition; establishing a process calculation model of the fractionation device according to the process characteristics and the physical property data of the reaction oil gas composition; solving material flow parameters in the fractionation device by using the model, and analyzing material flow characteristics such as vapor-liquid phase distribution, temperature distribution and corrosive medium component distribution in the device; calculating an ammonium salt crystallization temperature based on the material flow characteristics; and identifying and determining a high-risk area of ammonium salt crystallization corrosion in the fractionation device by combining the material flow characteristics and the ammonium salt crystallization temperature. The method can rapidly and accurately predict the ammonium salt crystallization corrosion high-risk area in the heavy oil catalytic cracking fractionation device, effectively reduces corrosion damage, optimizes anti-corrosion measures, improves the safe operation performance of the device, and is suitable for corrosion prediction and protection of petrochemical equipment.

The application provides a detection method of methane and non-methane total hydrocarbon in gas, and relates to the technical field of gas component detection and analysis. The detection method first enriches the sample gas to be detected by using an enrichment tube, then sequentially performs first desorption and second desorption, separates methane and non-methane total hydrocarbon from the enrichment tube, and then respectively detects the content of methane and non-methane total hydrocarbon; wherein the elution volume of the first desorption is greater than the elution volume of methane under the same desorption temperature and filler mass conditions, and is less than the elution volume of ethane under the same desorption temperature and filler mass conditions. The application can realize the measurement of methane and non-methane total hydrocarbon by using only one enrichment tube and one sampling cycle through the secondary desorption mode, and effectively avoids the loss of low-carbon hydrocarbon such as ethane in the separation process compared with the existing method for measuring methane and non-methane total hydrocarbon by using a PQ column and a methane quantitative ring.

The invention belongs to the technical field of fire-fighting monitoring and gas detection, and discloses a high-temperature fire scene environment combustible gas detection method, system, equipment and medium, and the method comprises the following steps: carrying out spectrum environment data collection and pretreatment operation on a high-temperature fire scene environment mixed gas sample cooled by an immersed liquid cooling double-convection structure; estimating the concentration of the target gas based on a deep regression neural network model, and classifying and identifying the target gas by using a support vector machine algorithm; the target gas concentration and the type identification result are subjected to weighted fusion processing; and performing risk grade judgment on the final detection value of the target gas and a preset threshold value to obtain a risk grade judgment result. According to the invention, rapid cooling sampling, spectrum identification and intelligent fusion analysis of multi-component combustible gas in an extreme fire scene environment can be realized, so that high-precision detection and risk dynamic early warning of fire scene gas components are completed.

The present application belongs to the technical field of metallurgical process control, and discloses a multi-sensor fusion intelligent control system and method for iron concentrate powder titanium reduction process, aiming to solve the problem of real-time monitoring and inhibition of local carbon deposition in the traditional process. By obtaining the temperature distribution in the furnace, the gas composition distribution, the furnace wall vibration signal and the local pressure signal, a reaction thermodynamic constraint graph in the furnace is constructed, and accordingly the furnace area is divided into multiple reaction front subareas. In each subarea, the system constructs a carbon deposition trigger network based on vibration-pressure coupling, accurately calculates the carbon deposition trigger probability, and then generates a targeted adaptive gas injection strategy. By globally optimizing the gas injection parameters, the real-time inhibition of local carbon deposition and the effective separation of titanium in the iron concentrate powder titanium reduction process are realized. The present application reduces the agglomeration of iron concentrate powder, keeps the gas channel unobstructed, and improves the titanium recovery rate and product quality.

The application discloses a gas parameter adjusting method for a reaction kettle and belongs to the field of high-temperature and high-pressure equipment control. The gas parameter adjusting method for the reaction kettle adjusts and controls the gas temperature and pressure in the control kettle and the reaction kettle through adjusting the gas booster and the heating belt, realizes two-stage accurate regulation and control of the gas temperature, pressure, concentration and other parameters before and after entering the kettle and real-time dynamic supplement, guarantees high consistency between the test working condition in the kettle and the field working condition; on the other hand, the application solves the problem that the gas composition and the proportioning accuracy in the reaction kettle are reduced due to the fact that the mixed gas formed by the reaction medium solution volatilization and the reaction gas under the simulated actual working condition cannot be realized in real time and accurately during the reaction gas proportioning process, thereby guaranteeing the high consistency between the test environment in the reaction kettle and the actual working condition and the reliability of the test result, and significantly improving the safety.

The axial flow fan comprises a cyclone dust removal conical shell and a third electric telescopic rod, a dust removal end cover is fixed to the outer wall of the top of the cyclone dust removal conical shell through bolts, the inner wall of one side of the middle of the cyclone dust removal conical shell communicates with an air inlet pipeline, and a dust exhaust pipe is welded to the center of the bottom of the cyclone dust removal conical shell in a penetrating mode. Gas detection is accurate and comprehensive, purification is long-acting and efficient, the defects that existing equipment is single in detection, incomplete in purification and prone to poisoning due to catalysis are overcome, the first gas detection module and the second gas detection module both adopt multi-parameter integrated sensor arrays, gas, carbon monoxide, hydrogen sulfide and humidity sensors are integrated, and the detection accuracy is improved. High-speed signal transmission is achieved through a CAN bus and a microcontroller, gas composition and concentration changes can be accurately monitored in real time, it is ensured that no harmful gas is missed and purified, and a glass fiber filter membrane, a porous silica gel adsorption column and an activated carbon adsorption net cage in a second rectangular flow guide pipe form a three-stage pretreatment structure.

The invention is suitable for the technical field of insulating gas, and provides a GIS insulating gas decomposer detection system and method. The system comprises a gas detection unit, electronic equipment, and a sampling interface, a pressure and flow adjusting unit, a filtering and drying unit and a detection gas chamber which are sequentially communicated through a pipeline, wherein the gas detection unit is arranged in the detection gas chamber; the sampling interface is used for sampling gas in the GIS gas chamber; the pressure and flow regulating unit is used for reducing pressure and stabilizing flow of the gas taken out from the sampling interface; the filtering and drying unit is used for filtering and drying the gas and sending the filtered and dried gas into the detection gas chamber; the gas detection unit is used for detecting components and concentration of gas in the detection gas chamber and sending a signal to the electronic equipment; and the electronic equipment analyzes the signal, determines the component and concentration of the gas in the detection gas chamber, and sends out early warning information when the gas concentration exceeds an early warning threshold value. According to the invention, the gas composition and concentration in the GIS gas chamber can be accurately detected.

This invention relates to the field of gas composition analysis technology, specifically to a method and terminal for detecting and classifying the composition of explosive hazardous gases. The method includes the following steps: acquiring sensor node tags and sampling data; constructing a composition monitoring sequence; extracting combinations of differential channel tags and time segments; matching a combustible gas composition table with sampling locations; classifying configurational components; mapping channels and time ranges; and obtaining the explosion hazard status identification result. In this invention, a composition distribution chain is constructed by fusing sensor tags and sampling time; the temporal overlap relationship of component combinations is extracted by combining multi-channel data; corresponding segment identifiers are established to complete the identification of the gas's coordinated change structure; a hierarchical association is established through the mapping relationship between tags and a set composition table; structural hierarchy is divided by distinguishing between repeating and non-repeating components; and spatiotemporal continuity mapping is performed by combining distribution trends and channel coverage. This facilitates the location and judgment of the accumulation process of risky components and enhances the response and linkage capabilities to explosion triggers.