493 results about "Gas analysis" patented technology

The invention discloses a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment system and a multielement multiphase fluid displacement coalbed methane 4D visual simulation experiment method. The system comprises a gas-liquid mixed injection system, a Kr adsorption system, a visual triaxial core holder system, a CT scanning system and a tail gas analysis and treatment system. According to the experimental method, Kr similar to CH4 in dynamic diameter and other parameters is selected as a CT tracer to replace CH4, and 4D visualization of coal body internal pore and fracture structure evolution and Kr concentration field displacement migration process can be realized through three-dimensional reconstruction of CT images at different displacement moments and registration, gray correction and normalized concentration calculation of the images. The problem that the gas migration rule in the coal body in the displacement experiment is not clear is solved; the dynamic diffusion process inversion of the coal bed gas in the coal bed difficult to extract is realized by utilizing the distribution characteristic evolution of the Kr gas in the coal body, so that the in-situ coal body fissure structure in the coal sample and the dynamic migration law of methane in the displacement process are obtained, and the method has great significance for revealing the displacement development mechanism of unconventional natural gas such as the coal bed gas.

The invention discloses a gas analysis method and system for a gas source purification process, and relates to the technical field of gas detection and analysis. The method comprises the following steps: synchronously acquiring optical, electrochemical and conductivity detection signals in a gas source purification pipeline, and combining environmental parameters such as temperature, humidity and flow; carrying out filtering, anomaly elimination and normalization processing on the detection signal, constructing a multi-dimensional feature vector, and carrying out dimensionality reduction to obtain a principal component feature; and dynamically distributing weights through a self-adaptive weighted fusion model, and calculating a gas purification characteristic value. Establishing a drift prediction model based on historical data, inputting environmental parameters and operation duration to calculate a predicted drift amount, and correcting a gas purification characteristic value; when the drift distance exceeds a threshold value or reaches a calibration period, standard gas is introduced to detect the average response value of the drift distance, a calibration coefficient is calculated according to the concentration of the standard gas, the calibration coefficient is fed back and updated to the weighted fusion model and the drift prediction model, and self-correction and high-precision analysis of the gas purification process are achieved.

The invention belongs to the technical field of gas analysis, and relates to a surface-enhanced Raman scattering flexible substrate material as well as a preparation method and application thereof. The surface-enhanced Raman scattering flexible substrate material comprises a three-dimensional network structure and silver nanoparticles, the three-dimensional network structure is composed of hydroxypropyl methyl cellulose nanofibers, the silver nanoparticles are wrapped in the hydroxypropyl methyl cellulose nanofibers, and the silver nanoparticles are of a polyhedral structure. The surface-enhanced Raman scattering flexible substrate material is used for detecting thiol compounds in a solution, and the detection limit can reach 10 <-19 > M level; after the surface of the silver nanoparticle is modified with the probe, the material can detect trace substances in exhaled air. In addition, after the material is stored for 6 months at room temperature, the SERS signal intensity attenuation is less than or equal to 4%, and the relative standard deviation detected by 20 random sites is only 4.04%.

In a mass spectrometer (10) for gas analysis, comprising: a mass spectrometer housing (12) evacuated by a vacuum pump; an ion source (16) for ionizing gas atoms or molecules entering the mass spectrometer enclosure (12) and accelerating ions in the mass spectrometer enclosure (12); an ion trap (22) made of an electrically conductive material for collecting ions generated by the ion source (16); an electrical measurement device (24) for measuring the potential or current of the ion trap (22) and connected to the ion trap (22) for inferring the ions collected by the ion trap (22) from the measured potential or current; a magnetic or electromagnetic deflection device configured to deflect or map ions having a specific mass-to-charge ratio to the ion trap (22); an electron barrier (30) made of an electrically conductive material is provided at the ion trap (22), the electron barrier having a lower potential than the ion trap (22) and being configured to generate a reverse electric field to return electrons released from the ion trap (22) onto the ion trap (22).

The invention relates to the technical field of data processing, in particular to a boron-11 electronic gas analysis method for trace impurity recognition, which comprises the following steps: acquiring a historical time sequence data sequence of the concentration of each gas phase element in a container for storing boron-11 electronic gas at the current monitoring moment; periodically dividing each historical time sequence data sequence to obtain suspected abnormal data in each data segment; according to suspected abnormal data in the recent time sequence data sequence of each gas phase element concentration, the recent monitoring data distribution change abnormal degree and the multi-type correlation change abnormal degree of each gas phase element concentration are obtained, and a self-adaptive concentration threshold value at the current monitoring moment is correspondingly obtained; according to the self-adaptive concentration threshold value corresponding to the concentration of each gas phase element, trace impurity abnormity monitoring is carried out on the boron-11 electron gas at the current monitoring moment, and the accuracy of trace impurity abnormity monitoring is improved by dynamically adjusting the fixed threshold value.

A testing device for measuring oil, gas and water contents in rock has a heating desorption unit that has a sample chamber for placing a rock sample to be detected, a crushing mechanism arranged within the sample chamber, and a heating mechanism. The heating desorption unit crushes and heats the rock sample in a sealed manner to achieve gas analysis and desorption analysis of oil and water contained therein, thus obtaining components to be detected. The device further has a cold trap collection unit in communication with the sample chamber, a light hydrocarbon capture unit in communication with the cold trap collection unit, a gas measuring unit in communication with the light hydrocarbon capture unit for measuring and calculating a gas volume; and a central control unit for controlling the testing device.

The invention discloses a spectral analysis device and method for gas Raman scattering of a hollow-core optical fiber, and belongs to the technical field of gas analysis sensing. The spectrum analysis device comprises a laser, a light beam coupling device, a hollow-core optical fiber gas sample chamber, a collecting device and a spectrograph which are sequentially arranged along a light path, the light beam coupling device is used for coupling excitation laser generated by the laser into the hollow-core optical fiber gas sample chamber; to-be-detected gas flows in the hollow-core optical fiber gas sample chamber, excitation laser is conducted, and a transmission light beam containing the excitation laser and Raman scattering light is output; the collecting device is used for separating excitation laser in the transmission light beam and outputting a light beam only containing Raman scattering; a small round hole is formed in an inlet of the spectrograph, spatial filtering is carried out, and the luminous flux lost when a light beam enters the spectrograph is reduced; and the spectrometer receives the Raman scattering to obtain the Raman spectrum of the gas to be detected. The luminous flux lost when the light enters the spectrograph is reduced, the light beam collection efficiency is improved, and the signal-to-noise ratio and the analysis sensitivity are improved.

The invention relates to the technical field of metal smelting, in particular to a metal smelting temperature control method and system. The system comprises a temperature monitoring module, a gas analysis module, a thermodynamic simulation module and a dynamic regulation and control module, the thermodynamic simulation module sets a fitness function according to the Gibbs free energy value, and obtains the optimal temperature and oxygen potential through a particle swarm optimization algorithm; the dynamic regulation and control module is used for converting the theoretical optimal temperature of the thermodynamic model into precise operation, and efficient and stable control over the smelting temperature is achieved. According to the method, the reaction process in the furnace and the current optimal temperature and oxygen potential are accurately controlled on the basis of the Gibbs free energy value and the particle swarm optimization algorithm, the theoretical optimal temperature of a thermodynamic model is converted into precise operation through multi-PID cooperative control, and efficient and stable control over the antimony smelting temperature is achieved; and therefore, the problem that the oxygen-enriched smelting temperature is not accurately controlled is fundamentally solved, the extraction rate of metal is increased, and energy consumption is reduced.

The present application relates to the technical field of mine safety monitoring, and discloses a mine digital gas parameter early warning system based on gas analysis. The system comprises data acquisition and feature extraction, spatial topology correlation, gas state intention analysis, risk deduction based on a knowledge graph, and hierarchical early warning generation, which realizes intelligent monitoring of mine gas safety. The gas behavior mode is dynamically correlated with the roadway space structure, forming networked situation awareness, and the multi-source precursor information is deeply semantically correlated and probabilistically inferred using a disaster knowledge graph, thereby generating a comprehensive risk conclusion with causal logic. The system realizes the leap from discrete point alarm to spatial situation analysis, from simple threshold judgment to intelligent causal deduction, and improves the accuracy of early warning and decision support capability.

The invention relates to the technical field of gas analysis, in particular to a determination method for detecting impurity elements in chlorine-nitrogen mixed gas by an ICP-MS (Inductively Coupled Plasma Mass Spectrometry) method. The invention establishes an analysis method for determining the contents of eight elements including iron (Fe), chromium (Cr), copper (Cu), zinc (Zn), nickel (Ni), sodium (Na), cadmium (Cd) and phosphorus (P) in chlorine-nitrogen mixed gas by an ICP-MS (Inductively Coupled Plasma Mass Spectrometry) method. By optimizing ICP-MS analysis conditions and a sample pretreatment process and adopting an electronic-grade solvent to leach elements, rapid and accurate detection and high reproducibility of the impurity content in the chlorine-nitrogen mixed gas are realized. The method can be applied to quality control and analysis in the production process of a chlorine-nitrogen mixed gas product, and lays a foundation for establishing a standard of a chlorine-nitrogen mixed gas analysis method.

The invention discloses a fault diagnosis method for a gas-insulated metal-enclosed switchgear, and particularly relates to the technical field of fault diagnosis. Abnormal hot area distribution and structural deformation characteristics of equipment are analyzed through infrared thermal imaging data and visible light image data, an image analysis result is generated, whether gas leakage exists in the equipment or not is judged based on sulfur hexafluoride gas density data, and a gas analysis result is output; judging whether the equipment has abnormal vibration based on the vibration signal data, and outputting a vibration analysis result; based on an image analysis result and a gas and vibration analysis result, establishing a fault association relationship, generating a comprehensive diagnosis result, and determining a fault type and a risk level; in combination with a control rule base, a control signal or an operation and maintenance execution instruction is generated, and cross-modal synchronous diagnosis and accuracy and response real-time performance of fault diagnosis of the gas-insulated metal-enclosed switchgear are realized.

The invention provides a loose coal and rock mass multi-field coupling test system and method based on in-situ CT. The system comprises an in-situ reaction device, a CT device, a gas supply device, a gas analysis device and a data acquisition module, wherein the in-situ reaction device is used for filling loose coal rock mass, and a vacuum heat insulation chamber is arranged on the quartz outer wall of the in-situ reaction device; the in-situ reaction device is rotationally arranged in the CT device, and the CT device is used for performing tomography on the loose coal and rock mass and obtaining a structure image of the loose coal and rock mass; the data acquisition module is used for constructing a multi-field coupling evolution model of the loose coal and rock mass based on the temperature of the loose coal and rock mass, the gas product concentration of the loose coal and rock mass and the three-dimensional microstructure of the loose coal and rock mass. According to the loose coal and rock mass multi-field coupling test system and method based on the in-situ CT, temperature isolation inside and outside the in-situ reaction device can be achieved, stable operation of the CT device is guaranteed, and it is also guaranteed that rays can penetrate through the in-situ reaction device.

The utility model relates to the technical field of gas detection, in particular to a pulverized coal bunker CO gas analysis device which comprises a sampling probe (1), a cleaning structure is arranged on the sampling probe (1); the sampling probe (1) is connected with a detection module; the cleaning structure is used for removing smoke dust, impurities and condensates attached to the surface of the probe and components in the probe by applying reverse airflow into the sampling probe, so that the measurement accuracy is kept, the service life of equipment is prolonged, the maintenance workload is reduced, the sampling flow stability is ensured, and the system reliability is enhanced; the detection module can be used for removing water and possibly residual small particles in the sampled flue gas as well as tiny liquid drops or condensates possibly generated in the dehumidification process; the accurate detection of the CO gas concentration by the device can be effectively realized.

The invention relates to the technical field of mine safety monitoring, and discloses a mining digital gas parameter early warning system based on gas analysis. According to the system, intelligent monitoring of mine gas safety is realized through data acquisition and feature extraction, spatial topological association, gas state intention analysis, risk deduction based on a knowledge graph and graded early warning generation in sequence. The method comprises the following steps: dynamically associating a gas behavior mode with a roadway space structure to form networked situation awareness, and performing deep semantic association and probabilistic reasoning on multi-source precursor information by utilizing a disaster knowledge graph so as to generate a comprehensive risk conclusion with causal logic. According to the system, the crossing from discrete point alarm to space situation research and judgment and from simple threshold judgment to intelligent causal deduction is realized, and the early warning accuracy and the decision support capability are improved.

The invention relates to the field of environment monitoring, and discloses a remote monitoring method based on intelligent gas analysis, which comprises the following steps: acquiring various gas concentration monitoring data through a plurality of fixed monitoring stations arranged in a target monitoring area; performing mode analysis on the monitoring data, extracting each gas concentration monitoring value sequence, determining an abnormal concentration monitoring value sequence, taking a monitoring station corresponding to the abnormal gas as a reference monitoring station, calculating a Pearson's correlation coefficient and a Spearman level correlation coefficient, and determining a gas concentration distribution mode according to the Pearson's correlation coefficient and the Spearman level correlation coefficient; and generating a remote monitoring result according to the gas concentration distribution mode, and generating an inspection task for the target monitoring area according to the remote monitoring result. Therefore, the monitoring accuracy, the inspection efficiency and the guarantee of equipment operation and personnel safety are improved.

The utility model relates to a battery pack abnormity monitoring device, and belongs to the technical field of battery fault monitoring, and the battery pack abnormity monitoring device comprises a three-way valve which is arranged corresponding to a battery pack, the battery pack is provided with a vent hole in advance, and the input end of the three-way valve is communicated with the vent hole in the corresponding battery pack; the qualitative analysis sensor corresponds to the three-way valve, and the input end of the qualitative analysis sensor is communicated with the first output end of the corresponding three-way valve; the output ends of all the qualitative analysis sensors are connected in parallel and are communicated with the gas exhaust port; the second output ends of all the three-way valves are connected in parallel and are communicated with the input end of the gas analysis and detection system, and the output end of the gas analysis and detection system is communicated with the gas exhaust port; when the qualitative analysis sensor monitors that gas is abnormal, the first output end of the corresponding three-way valve is closed, the second output end of the corresponding three-way valve is opened, and the gas analysis and detection system analyzes and detects the abnormal gas. The battery pack gas monitoring device has the beneficial effect of realizing monitoring of the battery pack gas in the engineering in a low-cost and high-efficiency manner.

Systems and methods for nitric oxide generation are provided. In an embodiment, an NO generation system can include a controller and disposable cartridge that can provide nitric oxide to two different treatments simultaneously. The disposable cartridge has multiple purposes including preparing incoming gases for exposure to the NO generation process, scrubbing exhaust gases for unwanted materials, characterizing the patient inspiratory flow, and removing moisture from sample gases collected. Plasma generation can be done within the cartridge or within the controller. The system has the capability of calibrating NO and NO2 gas analysis sensors without the use of a calibration gas.

The application relates to the technical field of spectral data processing, and discloses a passive infrared gas analysis inversion method and system based on a convolution decoupling architecture and a background parameterization model. The method comprises the following steps: obtaining a standard radiation brightness original observation tensor; extracting radiation distribution characteristics of an environmental background through a multi-scale space background estimation network; inputting the original observation tensor and the baseline background characteristic vector into a preset convolution decoupling architecture; performing bidirectional orthogonal constraint processing on a background decoupling branch and a gas feature extraction branch in the convolution decoupling architecture to separate a pure target gas spectrum feature map; and inputting the pure target gas spectrum feature map into a preset concentration inversion mapping network to obtain a column concentration distribution matrix of a target gas in a target monitoring area. Through the technical solution, the passive infrared gas signal and the complex environmental background are accurately separated, and the accuracy of target gas column concentration inversion is improved.

A battery cell includes a housing defining a battery cell space within the housing, a cathode disposed within the battery cell space, an anode disposed within the battery cell space, a reference electrode disposed within the battery cell space, and electrolyte disposed within the battery cell space and in contact with the cathode, the anode, and the reference electrode. The housing has a gas analysis port in fluid communication with the battery cell space and extending to an exterior of the housing.

The utility model discloses a carbon emission monitoring device for a thermal power plant, which comprises a collection pipe, a first end of which is used for being inserted into a flue to be detected; the heating assembly is arranged on the periphery of the second end of the collecting pipe; the filter is arranged in the collecting tube; and the gas analysis unit is connected with the second end of the collecting pipe and can detect the CO2 concentration of the gas collected by the collecting pipe. According to the utility model, the CO2 content in the gas can be detected in a severe environment.

The utility model provides a full-feedback automatic control gas distribution system which comprises a standard gas cylinder group, the standard gas cylinder group is communicated with a test box, and the test box and the standard gas cylinder group are both communicated with a gas analysis module. Gas flow monitoring control modules are arranged between the standard gas cylinder group and the test box as well as between the standard gas cylinder group and the gas analysis module, and the test box, the gas analysis module and the gas flow monitoring control modules are all connected with the upper computer. According to the utility model, the gas analysis module, the gas flow monitoring control module and the upper computer are used for detecting the type and concentration of gas in the test box in real time and dynamically controlling the rate of the gas input into the test box, so that the type and concentration of the gas in the test box are adjusted, and automatic preparation of environment gas required by an experiment is realized; and the intelligent degree of the gas distribution system is improved.

The application discloses a kind of vadose zone soil carbon flux multi-point synchronous monitoring device and method, including with the outside monitoring terminal wireless connection of a base station main body, with a base station main body wireless connection of several groups of acquisition module, acquisition module includes the box of bottom hollow and is arranged on the intelligent sensor group for collecting gas data in box;The gas analysis equipment is arranged in the base station main body, and the input end of gas analysis equipment is connected with the sampling port on the outer wall of several groups of box by several groups of connecting pipeline respectively, and the sample collection mechanism is arranged in the base station main body.The each box of the application is connected with gas analysis equipment by connecting pipeline, and the data acquisition range is improved by gas analysis equipment combined with the intelligent sensor group on the box, and the gas data collected by the intelligent sensor group can be calibrated by periodic gas extraction analysis, to ensure the accuracy and quality of acquisition data.

The invention discloses a multi-point collection gas analyzer in a fire-fighting environment, and relates to the technical field of gas analysis, the multi-point collection gas analyzer comprises a body with a lower port, and also comprises a miniature electric telescopic rod and a gas pump which are detachably mounted in the body; the gas analysis chamber is detachably mounted in the lower port of the body, the top of the gas analysis chamber is connected with the gas inlet of the gas pump, and a gas pressure sensor is arranged in the gas analysis chamber; the storage module is communicated with the inner cavity of the body and is in threaded connection with the lower port of the body, and a first filter part and a second filter part which are communicated with the outside are sequentially arranged in the storage module from bottom to top; through mutual cooperation of the micro electric telescopic rod, the air pump, the pushing frame, the air distribution adjusting assembly and the like, blocking alarming is conducted on the first aspect, back flushing cleaning is conducted on the first filtering piece on the second aspect, and an air pressure sensor is detected on the third aspect.

The utility model discloses a suction type double-gas analysis leak detector which comprises a first gas analysis chamber and a second gas analysis chamber which are independently arranged, the gas outlet end of the first gas analysis chamber and the gas outlet end of the second gas analysis chamber are connected with a vacuum pump, a first gas conveying pipe is connected to a first gas inlet of the first gas analysis chamber, and a second gas conveying pipe is connected to a second gas inlet of the second gas analysis chamber. A gas inlet II of the gas analysis chamber II is connected with a gas conveying pipe II, and a gas suction nozzle II and a gas suction nozzle I are respectively arranged on the gas conveying pipe II and the gas conveying pipe I in a front-back manner. When the concentrations of the gases sucked by the second suction nozzle and the first suction nozzle are consistent or basically close, the alarm signal is not sent out, and when the concentration of the gases sucked by the second suction nozzle at the front end is larger than that of the gases sucked by the first suction nozzle, the alarm signal of detecting a leakage point is sent out, namely, the gas leakage point exists near the second suction nozzle. And therefore, the position of the leakage point can be locked quickly, accurately and efficiently, and the leakage detection efficiency of the equipment can be greatly improved.

The invention relates to a ruminant methane emission measuring system and method based on a milking robot, and the ruminant methane emission measuring system comprises a gas collection device which is arranged in a feeding trough area of the milking robot and is used for collecting sample gas in real time during the feeding period of ruminants, and the sample gas comprises animal exhaled gas; the gas analysis unit is connected with the gas collection device and is used for synchronously analyzing the concentration of methane and the concentration of carbon dioxide in the sample gas; and the data recording and processing unit is in communication connection with the gas analysis unit and is used for recording gas concentration data and detection time and calculating the daily methane emission amount based on the concentration data and the physiological parameters of the ruminant. According to the method, the milking window of the milking robot is used for measuring the methane emission amount of the dairy cow at the individual level for the first time, the balance of individual measurement record numbers is guaranteed, and automatic, high-throughput, large-scale and continuous monitoring is achieved.

The invention discloses a fast charging station fire real-time monitoring prediction and automatic suppression system, and relates to the technical field of fire protection engineering and safety, and the system comprises a chain reaction interruption module which comprises a solid free radical quencher release unit preset between battery modules, the micro-fluidic gas analysis chip is used for detecting the early-stage characteristic gas of the thermal runaway of the battery; the distributed emergency energy scheduling module is connected with the direct current bus of each charging pile and is used for directionally scheduling the electric energy of the adjacent charging piles which are not influenced to a fire fighting system during fire early warning; and the cross validation prediction engine is used for identifying an abnormal state that a single sensor may fail to report through comparative analysis based on the synchronous sensing data of the plurality of charging piles in the same charging cluster. The technical problems that monitoring and early warning are lagged, security holes exist in dependence on power supply of a main power grid, the single-point data false report and missing report rate is high, and the battery thermal runaway chain reaction is difficult to effectively block due to extensive fire extinguishing means in the prior art are solved.

A computer program product, a monitoring unit, gas analysis device equipped with the monitoring unit, use of artificial intelligence for monitoring the gas analysis device, and monitoring methods for a system having a plurality of devices which are configured to provide an associated measured value and / or a control command, wherein the monitoring methods are based on the use of a processing device or a neural network, with which measured values and / or control commands are evaluated.

The application provides a method for measuring internal and external air leakage in a goaf, comprising the following steps: S10, obtaining a calibration roadway and a calibrated roadway; S20, measuring air flow of the calibration roadway and the calibrated roadway during mining; S30, determining surface air leakage according to the air flow of the calibration roadway and the calibrated roadway during mining; S40, measuring total air leakage according to a gas analysis method; and S50, determining internal air leakage according to the total air leakage. The application solves the problem of large measurement error in the prior art.

The invention discloses a two-cavity type gas analyzing and testing cabin suitable for an MEMS sensor array, and relates to the technical field of smell distinguishing instruments, the two-cavity type gas analyzing and testing cabin comprises a detection cabin, a buffer cabin, a butterfly valve and a related gas entraining pipeline; a sensor is detachably connected in the detection cabin, a buffer cabin is arranged on one side of the detection cabin, a butterfly valve is arranged between the buffer cabin and the detection cabin, the butterfly valve is electrically controlled, and a negative pressure air entraining pipeline is arranged at the bottom of the buffer cabin and connected to a vacuum pump. The buffer cabin and the detection cabin are independently and sectionally heated, so that the sensor is ensured to be in an optimal working temperature state.

The invention discloses a high-precision wide-range expiration detection device and method, which is applied to the technical field of expiration detection, and comprises an expiration sampling unit used for collecting an expiration sample; the gas analysis unit consists of a three-way valve, an analysis pump, an electrochemical sensor module and a filter; the control and calculation unit is used for controlling the three-way valve to perform quick switching of closing and opening according to the size of the real-time output signal when the ratio of the output signal to the saturation signal is greater than a preset threshold value, so that the expiration sample is mixed with the zero-point gas filtered by the filter before entering the electrochemical sensor module; the gas concentration in the expiration sample is calculated according to the proportion of the output signal, the sensitivity and the closing time of the three-way valve; the double clinical requirements for high precision and wide range of expiration detection are met.