597 results about "Gas composition" patented technology

The invention relates to the technical field of environmental monitoring, in particular to a stored material controlled atmosphere maintenance early warning method and system based on environmental monitoring, and the method comprises the following steps: collecting real-time gas composition, temperature and humidity data, carrying out the time sorting of the collected data, recognizing the change trend of multiple parameters at each time point, and obtaining a parameter trend prediction result. According to the method, by combining data time sorting and change trend analysis, analyzing the relation between parameters and environment safety values and recognizing the variables exceeding the threshold value, accurate adjustment of gas, temperature and humidity is ensured, pertinence of parameter control is improved, early warning marking is carried out on the high-frequency fluctuation area through continuous monitoring and dynamic data classification, and the accuracy of the high-frequency fluctuation area is improved. The storage article quality guarantee condition monitoring capability is improved, so that article loss caused by environment change is reduced, a data analysis method and a real-time monitoring method are integrated, the operation logic of an environment controller is optimized, and the overall efficiency and the resource utilization efficiency of the system are improved.

The invention discloses an intelligent gas micro-differential pressure monitoring system based on multi-sensor fusion, and relates to the technical field of gas micro-differential pressure monitoring, a sensor network arranged at a pipeline collects and verifies process state data, a component fluctuation index is established to quantify the fluctuation degree of gas components, and if the component fluctuation index is abnormal, the component fluctuation index is determined to be abnormal. Calling a dynamic physical property compensation function to output a correction coefficient and a differential pressure reference value; if the accumulative deviation between the actually measured differential pressure and the theoretical differential pressure reference value exceeds a set threshold value, locally adjusting and optimizing or globally re-calibrating and updating the model; outputting a real-time correction value and deviation measurement through a fusion algorithm, and when an error continuously exceeds the standard, dynamically adjusting a fusion weight or triggering model calibration; if the obtained value exceeds the preset threshold value, early warning or alarming is sent out and fed back to the previous step.

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 multi-component gas detection device and method based on a metasurface quasi-continuous domain bound state. The advanced nanometer manufacturing technology and the deep learning algorithm are adopted, and high-precision, high-sensitivity and high-selectivity gas detection is achieved. According to the invention, the metasurface array with specific design is utilized, and the quasi-continuous domain bound state in the middle-infrared band is realized by accurately regulating and controlling the geometric parameters and material characteristics of the microstructure, so that excellent optical response is obtained. In combination with a deep learning algorithm, complex spectral information is converted into accurate gas composition and concentration information, and a reliable solution is provided for the fields of environmental monitoring, industrial production, safety monitoring and the like.

The invention relates to the technical field of gas component detection, in particular to a public place gas detection method based on gas chromatography, which comprises the following steps: a mobile robot covers all areas of a public place according to a predetermined path, collects an air sample, and pretreats the collected gas sample through a filter or an adsorbent; a gas sample enters a detector after being separated by a gas chromatographic column, and harmful gas components are identified; according to the detected harmful gas concentration, combining historical data and a threshold value, calculating the danger level of each region, and carrying out danger level division on the region of the public place; according to the danger level, the system automatically selects and executes corresponding countermeasures; and the system records a historical data set of all countermeasures, and optimizes the countermeasures through a machine learning algorithm. According to the invention, full coverage, multi-area dynamic monitoring, accurate risk prediction and grading processing can be realized, and the response speed and the use effect of the system are improved.

The invention provides a methane recovery and purification system in intelligent cleaning equipment, which relates to the technical field of environmental protection, and is characterized in that methane-containing gas is collected from the cleaning equipment, moisture and small particles in the gas are removed to obtain preliminarily purified gas, and then methane is separated and recovered by using a separation technology to obtain purified gas. And the purified methanol is obtained through multi-stage purification treatment. According to the methane recovery technology, a time sequence of gas components, a time sequence of physical properties and a time sequence of process parameters need to be obtained, and local time sequence coding and causal context time sequence aggregation are carried out, so that a separation technology recommendation result is recommended, and operation parameters are dynamically adjusted. Therefore, subjective experience can be abandoned, gas characteristics and process requirements are monitored in real time and accurately matched, the accuracy and objectivity of separation technology selection are improved, and it is ensured that the separation process is always in the optimal state.

The invention provides an intelligent laboratory deodorization gas purification system. The intelligent laboratory deodorization gas purification system comprises a data collection module, a data analysis module, a purification control module, a risk assessment module and a hazardous gas database, the data collection module collects gas data, particulate matter data and gas component data in an experimental environment through a laser gas detection sensor, a gas particle detection sensor and a gas component detection sensor, and feeds back the collected data to the data analysis module; the data analysis module judges the gas content in the experimental environment according to the gas data, the particulate matter data and the gas component data; if it is monitored that the concentration of the hazardous gas is lower than a set threshold value, a first purification control signal is generated and transmitted to the purification control module; and if the dangerous gas concentration is monitored to be higher than the set threshold value, generating a second purification control signal, and transmitting the second purification control signal to the risk assessment module.

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 drilling fluid composition includes a base fluid; at least one additive selected from the group consisting of an anti-foaming agent, a fluid-loss additive, a viscosity modifier, a shale stabilizer, an alkali compound, a bridging agent, and a weighting agent; and 0.01 to 0.5 weight percentage (wt. %) of particles of steel slag, based on a total weight of the drilling fluid composition. A method for reducing a hydrogen sulfide (H2S) content of a H2S-containing subterranean formation. A process for removing H2S from a H2S-containing gas composition by the drilling fluid composition.

The invention discloses a gas leakage early warning method, a gas cloud monitoring method and application, according to the scheme, normalized spectrum detection is ingeniously carried out on a chemical storage area through an infrared spectrum detection module, spectrum detection data is used for judging gas components and / or concentration of corresponding detection data for analysis and judgment, and then the gas leakage early warning method and the gas cloud monitoring method are obtained based on the analysis and judgment. Timely early warning is carried out, and reliable monitoring and early warning of the storage area are realized; on the basis, spectrum detection data and position and attitude information of corresponding detection modules are further multiplexed to roughly judge a leakage area, and then combined scanning is performed on the infrared spectrum detection modules, so that a leakage source is further positioned to obtain leakage positioning information; in addition, according to the scheme, prediction and trajectory tracking are further carried out on gas cloud generated by leaked gas through the gas plume monitoring model, reliable data support and mechanism guarantee are provided for gas leakage tracking of the chemical storage area, and the method has positive practical application significance.

A control system for controlling extraction of landfill gas from a landfill via a gas extraction system comprising well piping, the landfill gas having a first temperature when extracted, the control system comprising: a gas composition chamber coupled to the well piping and comprising at least one sensor configured to measure one or more characteristics of a landfill gas sample in the gas composition chamber; a temperature control mechanism configured to heat the landfill gas sample in the gas composition chamber to a second temperature at least a threshold amount greater than the first temperature; and a controller configured to control the at least one sensor to measure the one or more characteristics of the landfill gas sample in the gas composition chamber when a temperature of the landfill gas sample in the gas composition chamber is at least the threshold amount greater than the first temperature.

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 discloses a combustion state monitoring method based on a micro gas turbine combustion chamber. The method comprises the steps of temperature change and distribution in the combustion chamber, pressure pulsation of combustion gas in the combustion chamber, combustion tail gas component and content measurement, combustion efficiency measurement and combustion flame state monitoring. Specifically, the temperature change and distribution are monitored through the arrangement of thermocouples; data of gas pressure pulsation are collected through a pressure pulsation sensor, and data analysis processing can be conducted on the gas pressure pulsation so that a researcher can analyze the gas pressure pulsation; the flue gas analyzer monitors the components and the content of tail gas generated in the combustion process, and then the combustion efficiency is calculated; the combustion flame state is analyzed through flame pictures shot by a high-speed flame camera. The four monitoring modes are carried out at the same time, data are transmitted to a computer to be analyzed, and reference can be provided for subsequent further analysis of combustion performance, power generation performance, operation maintenance and fault diagnosis of the gas turbine.

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 a sensor arrangement and a measuring method for measuring the respective concentrations of three gas components in a gas sample (Gp). One gas component is a paramagnetic gas. The gas sample (Gp) is passed through a measuring chamber (2). A magnetic field with an oscillating magnetic field strength is applied to the measuring chamber (2). The thermal conductivity of the gas sample (Gp) and the magnetically modulated thermal conductivity of the gas sample in the measuring chamber (2) are measured. The three concentrations of the three gas components are determined using predetermined densities of the three gas components, as well as the measured thermal conductivity, the measured magnetically modulated thermal conductivity, and the measured density.

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 provides a control method and device for a gasification device in a raw gas production process. The method comprises the following steps: acquiring operation data of the gasification device; constructing two regression models to respectively represent the relationship between the liquid level, the washing water quantity and the raw gas components and the relationship between the coal-oxygen ratio and the washing water quantity and the raw gas components; solving by using an effective gas content maximization target and performing a least square method to obtain control parameters of the model; and the control parameters are fused, target control parameters are determined, and optimized operation of the gasification device is achieved. Data analysis is performed on the basis of the measured value of the raw gas to determine the correlation among the parameters, and then double-closed-loop control is performed on the basis of maximization of effective gas components to ensure that the yield of the gasification device in the gasification process is in an optimal state, so that the problem that component optimization and control of the raw gas are manually completed in the prior art is solved. The efficiency is low; and the operation is tedious.

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 steelmaking automation, in particular to an intelligent control system and method for a high-purity molten steel smelting converter, and the system comprises a data collection module which is used for collecting operation parameters related to the converter during molten steel smelting, and the operation parameters comprise molten steel temperature, gas components, oxygen amount and blowing time; the curve generation module is used for determining a change curve of the corresponding operation parameters during molten steel smelting according to the obtained operation parameters, and the change curve comprises a change curve corresponding to the molten steel temperature, the gas composition, the oxygen amount and the blowing time; the component display module is used for analyzing and processing the change curve according to the identified change curve of the operating parameters, and determining the occurrence probability of the operating parameters and a target value corresponding to the occurrence probability when the purity of the molten steel meets the requirement; and the production efficiency and the stability in the molten steel smelting process are improved.

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.

The invention discloses a self-adaptive metal material environment corrosion test method and device, firstly, an environment monitoring module is arranged in a natural actual corrosion environment to dynamically monitor the actual corrosion environment in real time to obtain monitoring data of the actual corrosion environment, and the monitoring data comprises temperature, humidity, gas components and concentration; monitoring data of an actual corrosion environment are received through a control module, and test parameters in the simulation environment test box are controlled, so that the temperature, the humidity and the concentration of one or more gases in the simulation environment test box are dynamically kept consistent with the temperature, the humidity and the concentration of one or more gases in the actual corrosion environment; therefore, the performance of the metal material in the simulation environment test box in different corrosion environments is tested. The invention also discloses a test device.

A method and apparatus for producing a workpiece containing silicon carbide is disclosed in which a blank (2) is held in a heated reactor (1) to which a gas composition containing gaseous silicon tetrachloride as a silicon source and a hydrocarbon gas as a carbon source and serving as a precursor for the production of silicon carbide is supplied, and under the action of the gas composition, a workpiece containing silicon carbide is produced from the blank (2).

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.

According to the environment-friendly gas insulation primary and secondary fusion complete ring main unit based on the magnetic control technology, a first gas box is divided into a primary loop cavity and a secondary loop cavity through a box body piston, and the primary loop cavity and the secondary loop cavity are filled with different insulation gases respectively. The primary loop cavity is filled with first insulating gas, and the gas pressure is dynamically adjusted through the magnetic control technology to enhance the arc extinguishing performance. The secondary circuit cavity can be filled with second insulating gas to provide a stable environment for the secondary circuit, and the secondary circuit cavity can be communicated with the primary circuit cavity through the ventilation system to mix the gas so as to improve the arc extinguishing performance. In addition, the ring main unit is additionally provided with a second gas tank which is filled with third insulating gas with different characteristics from the first insulating gas. And a second gas flow port controlled by the controller is arranged between the second gas tank and the first gas tank, and when necessary, the controller can open the valve to enable the third insulating gas to flow into the primary loop cavity, so that the gas composition is flexibly adjusted, and the arc extinguishing effect is optimized.