655 results about "Gas analysis" patented technology

Aspects relate to a compact and low-cost gas analyzer that can be used for different types of gas analysis, such as air quality analysis. The gas analyzer can include a light source, a gas cell configured to receive a sample (e.g., a gas under test), a spectral sensor including a spectrometer and a detector, and an artificial intelligence (AI) engine. Light can enter the gas cell and interact with the sample to produce output light that may be measured by the spectral sensor. The resulting spectrum produced by the spectral sensor may be analyzed by the AI engine to produce a result. The gas analyzer further includes a self-calibration component configured to enable calibration of the sample spectrum to compensate for spectral drift of the spectral sensor.

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 relates to the technical field of gas analysis and detection instruments, and discloses a gas analysis and detection instrument which comprises a gas analysis and detection instrument body, a transverse adjusting piece is arranged above the gas analysis and detection instrument body, a transverse and longitudinal connecting piece is mounted on the transverse adjusting piece, and a longitudinal adjusting piece is connected to the bottom of the transverse and longitudinal connecting piece; wherein the gas analysis detector main body is in sliding connection with the front surface of the longitudinal adjusting piece, multi-dimensional accurate positioning of environmental gas sampling is realized, and the core advantage is reflected on a transverse adjusting system: a mechanical transmission mode of driving a threaded rotating rod by a servo motor is adopted, and dual guidance of a sliding rail and a limiting sliding block is matched, so that the positioning accuracy is improved; and the detector main body can stably move along the horizontal direction. Due to the unique combined design of the buffering device and the adjustable limiting mechanism, flexible buffering protection of the moving terminal point is achieved, and a user is allowed to customize the stroke range according to actual requirements.

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 discloses a detection device and a detection method for dissolved gas in insulating oil. The detection device comprises a rapid degassing module and an analysis module, the rapid degassing module comprises a sample bottle, a heating oil sample pool, a stirring structure, a high-purity gas storage tank and a cold trap; the sample bottle is used for injecting an insulating oil sample to be detected; the heating oil sample pool is used for heating the insulating oil sample in the sample bottle; the stirring structure is used for stirring the insulating oil sample in the sample bottle; the high-purity gas storage tank is used for introducing inert gas into the sample bottle and accelerating discharge of dissolved gas; the cold trap is used for enriching the mixed gas discharged from the sample bottle and selectively adsorbing and enriching the target gas to be detected; and the analysis module is used for detecting the gas analyzed from the cold trap. According to the detection device disclosed by the invention, the insulating oil sample to be detected is simultaneously subjected to heating stirring, gas purging replacement and cold trap enrichment, so that the dissolved gas in the insulating oil can be quickly removed, the degassing time is shortened to be within 5min, and the degassing treatment efficiency is greatly improved.

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%.

The invention discloses a multi-component laser gas analyzer based on front-end pretreatment, and relates to the technical field of gas detection, the multi-component laser gas analyzer specifically comprises a portable box, a control panel is arranged in the portable box, and a laser gas analysis mechanism is mounted in the portable box and located at the bottom of the control panel; the problem of spectral signal distortion caused by a high-dust and high-humidity environment in industrial gas detection is solved through a front-end pretreatment self-adaptive technology, system downtime caused by single-path blockage is avoided through a double-pipeline redundancy design aiming at the high-dust and high-humidity environment, rapid dehumidification and cooling of a compression and condensation assembly are combined, and the detection efficiency is improved. According to the multi-component laser gas analyzer system, a laser gas analysis mechanism can stably obtain high-precision spectral signals under complex working conditions, meanwhile, multi-stage intelligent early warning and filter element health management are adopted in the system, the maintenance cost is reduced, the service life of equipment is prolonged, the integrated design of the portable box supports on-site rapid overhaul, and the detection efficiency of the whole multi-component laser gas analyzer is improved.

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 present invention provides an integrated power generation equipment health status monitoring system. This system collects operating and environmental parameter data from an asynchronous motor precision inspection and diagnostic device, a TLI-X8 online battery monitoring system, a collector ring intelligent data acquisition system, an online transformer oil dissolved gas and water monitoring system, an online generator partial discharge monitoring device, and a wireless temperature measurement system. This system then performs training and prediction to obtain fault prediction data, enabling accurate fault diagnosis based on deep learning to extract raw data features. This application organically combines systems such as the asynchronous motor precision inspection and diagnostic device, transformer oil gas analysis, partial discharge detection, wireless temperature measurement, and online battery monitoring. This system uses a parent convolutional neural network model and a child machine learning model to predict power generation equipment faults, enabling early fault identification and significantly improving the accuracy and efficiency of equipment fault identification.

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.

The invention discloses a dynamic tracking adsorption testing device and method adaptive to different carbon dioxide partial pressure adsorption properties of multi-scene adsorbents, and solves the problems that an existing device cannot dynamically track the adsorption process and lacks a standard processing device and method for multi-parameter linkage analysis. The dynamic tracking adsorption testing device comprises a reaction master control, a self-regulation gas supply system and a gas analysis system, the gas inlet end of the reaction master control is communicated with the self-regulation gas supply system, and the gas outlet end of the reaction master control is communicated with the gas analysis system; the dynamic tracking adsorption test method comprises the following steps: performing vacuum activation pretreatment on a test sample, adsorbing and desorbing to obtain mass change in an adsorption stage and import and export concentration data, and establishing a triple adsorption quantity calculation model based on the mass change in the adsorption stage and the import and export concentration data; and completing an adsorption cycle stability test process according to the triple adsorption capacity calculation model after data analysis.

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 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 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 utility model relates to the technical field of silane gas analysis, and provides a sample introduction and tail gas treatment system for silane gas analysis, which is used for sample introduction of silane gas and is beneficial to improvement of detection repeatability and accuracy. The system comprises a six-way valve and a purge gas input pipe, and further comprises a sample gas inlet pipe, a carrier gas inlet pipe, a quantitative ring and a tail gas output pipe which are respectively connected with the six-way valve, the system further comprises a tail gas absorption tank; the tail gas output pipe comprises an upstream pipe section and a downstream pipe section, and the purge gas input pipe is communicated with the tail gas absorption tank through the downstream pipe section of the tail gas output pipe; the sample gas inlet pipe is provided with a pressure regulating valve and a pressure sensor, and the pressure regulating valve and the pressure sensor are respectively in communication connection with the pressure controller; a carrier gas pressure reducing valve and a flow controller for adjusting the carrier gas flow in the carrier gas inlet pipe are arranged on the carrier gas inlet pipe; and the upstream pipe section of the tail gas output pipe is provided with a flow meter and a one-way valve.

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.

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.

The invention relates to the technical field of respiratory metabolism detection, in particular to a respiratory metabolism detection method and a bidirectional gas collection and detection device. The respiratory metabolism detection method comprises the following steps: respectively collecting gas in an inspiration stage and an expiration stage participating in respiration through an inspiration collection channel and an expiration collection channel which are mutually independent in a bidirectional gas collection and detection device; the collected gas sample is detected through a sensor in the integrated gas analysis module; the data processing module is used for receiving detection data transmitted by the sensor, and the data is accurately calibrated according to a preset calibration standard and an intelligent data processing algorithm; component concentration calculation is performed on the calibrated data, and an accurate gas component concentration value is obtained through an algorithm according to response characteristics of different gas components on the sensor; and in combination with respiratory parameters such as respiratory frequency and respiratory depth, gas components in two processes of expiration and inspiration are collected and analyzed in the same equipment at the same time.

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.

The present invention discloses a mine fire bundle pipe monitoring system, which relates to the field of gas extraction and detection technology in mines, including a detection box, one end of which is fixedly connected to an exhaust pipe, and the other end of which is fixedly connected to an exhaust pipe. A laser gas analysis device is installed inside the detection box, and the detection mechanism and the filtering mechanism are also included. The present invention sets a detection mechanism, and the motor drives the displacement block to move. The displacement block contacts the push block and opens the exhaust pipe. At this time, the fan is started, and the gas enters the detection box through the exhaust port and the exhaust pipe, and is then discharged through the exhaust pipe. At this time, the laser gas analysis device detects the gas in the detection box. After the gas detection at one exhaust port position is completed, the displacement block is moved to the top of the next exhaust pipe, and the next exhaust pipe is opened to extract new gas into the detection box for detection. This design can facilitate the sampling and detection of gas at multiple points in the mine.

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.