346 results about "Gas composition" patented technology

The invention discloses a toxic and harmful substance leakage reinspection method, device and equipment based on an unmanned aerial vehicle, and a storage medium, relates to the technical field of Internet of Things and intelligent factories, and aims to solve the problem that the detection accuracy and efficiency of toxic and harmful substances are low. The method comprises the following steps: dividing a target area into a plurality of grids, and acquiring initial gas concentration data of each grid in real time through a fixed foundation sensing array; the grids with the initial gas concentration data larger than the preset concentration are determined as abnormal grids, and a reinspection flight path is dynamically generated according to the unmanned aerial vehicle parking position, the abnormal grid position and the environment parameters; the unmanned aerial vehicle is controlled to fly to the abnormal grid according to the reinspection flight path, and multi-dimensional data including visible light images, infrared thermal imaging data, gas component spectrums and space coordinate data of the abnormal grid are collected; and fusing the initial gas concentration data and the multi-dimensional data of the abnormal grid, constructing a three-dimensional dynamic concentration field model, and outputting leakage source position information and a diffusion trend.

The invention belongs to the technical field of metallurgical process control, and discloses a multi-sensor fused intelligent control system and method for the titanium reduction process of fine iron powder. The method aims at solving the problem that local carbon deposition is difficult to monitor and inhibit in real time in a traditional process. The method comprises the following steps of: constructing an in-furnace reaction thermodynamic constraint diagram by acquiring in-furnace temperature distribution, gas component distribution, a furnace wall vibration signal and a local pressure signal, and dividing an in-furnace region into a plurality of reaction front subregions according to the in-furnace reaction thermodynamic constraint diagram; in each partition, the system constructs a carbon deposition triggering network based on vibration-pressure coupling, the carbon deposition triggering probability is accurately calculated, and then a targeted self-adaptive gas injection strategy is generated. By globally optimizing gas injection parameters, real-time inhibition of local carbon deposition and effective separation of titanium in the titanium reduction process of the fine iron powder are achieved. According to the invention, the agglomeration phenomenon of the fine iron powder is reduced, the smoothness of a gas channel is kept, and the titanium recovery rate and the product quality are improved.

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.

A panoramic scanning coal fire detection and disaster early-warning, prevention and control apparatus for a mining area, the apparatus comprising a detection apparatus, a laser scanning apparatus, a satellite remote-sensing monitoring apparatus, a data processing and analysis system, and an early-warning, prevention and control apparatus. High-precision thermistor temperature sensors (1) are arranged inside, on the surface and in surrounding areas of coal piles, such that subtle changes in the temperature of the coal piles can be accurately captured, and early-stage potential coal fire hazards can be effectively detected; gas sensors (2) installed at vents of a mining area can simultaneously measure the concentrations of gases such as carbon monoxide, carbon dioxide, methane and sulfur dioxide, so as to promptly identify anomalies in gas composition that are caused by coal fire combustion; an infrared thermal imager (3), which is located at a high position to acquire a panoramic view of the mining area, can clearly display high-temperature regions; and cameras (4) provide high-definition, wide-angle and low-illumination visual monitoring, and various sensors comprehensively collect data from different dimensions, thereby greatly improving the accuracy and comprehensiveness of monitoring.

The invention belongs to the technical field of coal mine fire prevention and extinguishing, and particularly provides a coal mine goaf fire simulation experiment device and method. Comprising an experiment table groove body, a working face channel, an air inlet way, an air return way, a ventilation system, a goaf groove body, a water bath heating and heat preservation system, a goaf temperature simulation system, a distributed temperature acquisition system, a goaf gas environment simulation system and a gas acquisition system. According to the invention, the inclination pitching angle, the coal rock porosity, the goaf ignition position, the internal gas components and the like of the goaf can be simulated according to the actual conditions of different working surfaces of each coal mine, and the evolutionary process of the spontaneous ignition accident of the goaf is realized. According to experimental data, development and change states of internal temperature, gas components and the like of the goaf of each coal mine can be determined, key fire prevention and control areas of the goaf in each period of coal mining are found out, early warning is performed in advance, and life and property safety of underground personnel is guaranteed.

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.

A gas measuring device (100) for analyzing a gas mixture (310) and monitoring an environment (300) has a housing (110) for delimiting a measurement interior volume (120) and / or for separating the measurement interior volume (120) from the environment (300) containing the gas mixture (310). The housing has a gas inlet (111) and a gas outlet (112) for respective fluid-conducting connection between the measurement interior volume (120) and the environment (300), and an electrochemical gas sensor unit, which is arranged within the measurement interior volume (120), and which serves for determining a concentration of a gas fraction, in particular an oxygen fraction, contained in the gas mixture (310).The gas measuring device (100) has a heating element (220) and with an open-loop and / or closed-loop control system (230) to increase or maintain an interior temperature (TI) of the measurement interior volume (120) and settable by means of the control system (230).

The invention relates to the technical field of risk management and control, in particular to a laboratory dangerous chemical whole-process risk management and control method and system based on an AI large model. Under the condition that the gas concentration does not exceed the standard, the potential chemical reaction risk is predicted by depending on the gas component proportion, the reaction triggering condition and the environmental data, the potential safety hazard problem caused by the potential reaction is solved, the gas diffusion speed and the toxicity grade of the reaction product are combined through real-time monitoring and analysis of each control sub-region, and the safety of the reaction product is improved. According to the method, the reaction risk probability and the delay risk probability can be accurately calculated, an effective early warning signal and a management and control instruction are generated before the risk occurs, and the real-time performance and accuracy of laboratory safety management are remarkably improved, so that the pre-judgment and response capability of a laboratory to dangerous chemical leakage and reaction risk is effectively improved, and the safety of the laboratory is improved. Preventive measures can be taken when potential dangers do not appear, so that safety accidents are avoided.

The invention discloses a gas-steam boiler energy supply efficiency optimization method and system, and relates to the technical field of boiler control, and the method comprises the steps: collecting gas component data in real time, synchronously obtaining boiler operation parameters, and carrying out the data preprocessing of the gas component data and the boiler operation parameters to generate a standardized input matrix; real-time operation data flow of the boiler is obtained and input into the trained neural differential equation prediction model, and a state prediction sequence in a future time domain is obtained through calculation and transmitted to the dynamic optimization controller; in the dynamic optimization controller, a rolling horizon optimization problem is constructed based on a state prediction sequence, a control instruction set is converted into a physical operation quantity, a regulation gas flow, a combustion-supporting air quantity and a water supply flow through an execution mechanism, and after the boiler operation state is updated, actual operation data is fed back to a constraint updating process. Through dynamic coupling physical constraint and data driving, the real-time performance, adaptability and physical consistency of boiler energy efficiency optimization are remarkably improved.

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.

The invention belongs to the technical field of exhaled gas analysis, and particularly relates to an exhaled gas composition for identifying taste sensitivity and a screening method and application thereof. The taste sensitivities of individuals of different age groups are collected by adopting a sensory evaluation method, volatile compound components in exhaled gas are analyzed by adopting high-resolution mass spectrometry, and characteristic exhaled gas markers remarkably related to the taste sensitivities are screened by adopting difference analysis and correlation analysis. Therefore, the exhaled gas marker combination obtained through screening is used for identifying the individual taste sensitivity, and the method has the advantages of being convenient to sample, non-invasive, high in subject acceptability and wide in application range.

The invention relates to the technical field of underground hydrogen storage, and discloses an underground hydrogen storage prediction method coupled with a chemical reaction. The method comprises the following steps: determining the hydrogen leakage flux of the underground hydrogen storage according to reservoir information of the underground hydrogen storage based on the Darcy law; according to three-phase substances including mineral composition, solution composition and gas composition of the underground hydrogen storage, a physical model containing a mineral-fluid-gas storage three-phase substance equilibrium relation of the underground hydrogen storage is established by utilizing the law of conservation of substances; according to the dissolution trends of different minerals in the underground hydrogen storage under the hydrogen-fluid-rock chemical reaction system, a dissolution kinetic model of the different minerals is established; and according to the hydrogen leakage flux, the coupling physical model and the dissolution kinetic model, obtaining the change conditions of mineral composition, solution composition and gas composition in the underground hydrogen storage library caused by hydrogen-fluid-rock chemical reaction under the hydrogen leakage flux, so as to predict the hydrogen storage condition of the underground hydrogen storage library.

Thermogravimetric Reactor (TGR) and process to study weight change behavior of carbonaceous solids / catalysts during thermo-chemical reactions in gaseous environment up to the maximum operating temperature of 1000° C. and at atmospheric pressure are disclosed. The device includes a vertical tube reactor, digital weighing balance, gas feeding system equipped with volumetric flow controllers, rotameters, isolation valves and non-return valves to introduce inert and reactive gases and their mixtures to the reactor. It also has a movable electrical furnace heater for sudden heating / cooling of sample as per requirement. It also has sample feeding / loading system comprising containers of different sizes and shapes with a hanging arrangement There is arrangement to test the product gas composition with on line gas analyzer in the exit line or collecting the outgoing gas from the sampling port for off line gas analysis. The system also has control panel to store and display data including process parameters.

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 present invention provides a method and device for evaluating the extraction capacity of water-soluble helium from a natural gas layer. This method, which belongs to the field of oil and gas resource evaluation technology, addresses the existing problems of being unable to simulate the extraction of helium from natural gas under real geological conditions and the inability to quantitatively evaluate the extraction capacity. The method comprises a natural gas preparation area, a helium solution preparation area, a blending box, and a test cylinder. The blending box is provided with at least two blending tanks, one of which is connected to the natural gas preparation area and the other to the helium solution preparation area. The test cylinder is provided with a piston having an inlet and an outlet. The outlet is connected to a gas composition detection device, and the piston is connected to a pressing device. The present invention is used to study the mechanism by which groundwater-soluble helium resources enter natural gas layers. It can simulate the extraction process of natural gas from water-soluble helium under different temperature, pressure, and salinity conditions in natural gas layers and quantitatively evaluate the extraction capacity of natural gas for water-soluble helium.

The invention discloses a gas exchange device in front of a sample introduction cone of an inductively coupled plasma mass spectrometer, the gas exchange device in front of the sample introduction cone is arranged outside an ICP torch tube in a sleeving manner, and the gas exchange device in front of the sample introduction cone is mounted on a partition plate around the sample introduction cone; the sample injection cone front gas exchange device comprises a porous breathable layer and a shell; an argon inlet is formed in one end, close to the sample introduction cone, of the shell; one end, far away from the sample introduction cone, of a space between the porous breathable layer and the ICP torch tube is opened and is communicated with the atmosphere. According to the invention, the environmental gas components in the space between the ICP torch tube and the mass spectrum interface device are exchanged into the preset clean gas, so that the sample ionization process is not interfered by the environmental air components, a lower noise baseline is obtained, and meanwhile, the generation of environmental component ions such as nitrogen oxide ions which possibly interfere mass spectrum analysis is reduced; the sensitivity of mass spectrometry detection and the environment anti-interference capability are improved.

A system for trapping a target condensable gas may include a supersonic condensation nozzle configured to receive a gas stream containing a target condensable gas component and accelerate the gas into a supersonic gas stream; at least one particle injector in the supersonic nozzle for injecting particles such that the particles are in the supersonic gas stream, whereby a target gas condensate is formed on a portion of the particles; an expansion device defining a channel having a lobe, causing the flow of particles containing the target gas condensate to generate an expansion wave to separate the flow into a first flow path in which a concentration of particles containing the target gas condensate increases and a second flow path in which a target condensable gas content of the gas decreases; and a diverter having at least a first channel, the diverter configured to collect the first flow path.

The invention discloses a high-voltage cable buffer layer ablation degree evaluation method and device, and belongs to the technical field of high-voltage cable detection. Aiming at the problems of high false detection rate and low positioning precision of the existing detection technology, the method provides three steps of detection processes: firstly, drilling holes along preset intervals of a cable to take gas, analyzing gas components by using a gas chromatograph, and screening sections containing ablative characteristic gas; secondly, an infrared thermal imager is adopted to accurately position temperature abnormal points, and gas is remeasured; and finally, determining a gas weight in combination with an optimal and worst method, constructing a quantitative model through a multi-criterion compromise solution sorting method, calculating an abnormal point comprehensive score and dividing risk grades. According to the method, through a cooperative detection mechanism of gas primary screening, infrared positioning and retest evaluation, the detection efficiency and accuracy are remarkably improved, early ablation symptoms can be recognized, and the omission ratio is reduced.

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 application discloses a kind of laser welding devices of defect self-detection, belong to laser welding field, the electric turntable top is equipped with driving disc, the driving disc is fixedly connected at gas analyzer body top, the driving disc inner wall is hinged with ratchet pawl, the fixed rod outer wall is rotatably connected with connecting ring, and the connecting ring inner wall is fixedly connected with connecting rod.By fixing steel pipe on the top of base, and starting electric turntable to drive welding gun body and gas analyzer body to rotate forward and backward, the welding operation and detection work of steel pipe can be accurately completed, after laser welding is completed, start air pump to inject gas into steel pipe, gas analyzer rotates and analyzes the gas composition of steel pipe, by driving disc driving ratchet pawl and ratchet clockwise rotation, plugging is carried out to both ends of steel pipe using hydraulic system, so as to guarantee the accuracy of gas analysis process, to detect whether there is defect and air leakage in steel pipe.

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.