419 results about "Gas concentration" patented technology

The application discloses a tunnel advanced drilling harmful gas detection device and method, and relates to the technical field of tunnel construction. The tunnel advanced drilling harmful gas detection device comprises a sleeve pipe; a laser monitoring module is arranged on the sleeve pipe; the laser monitoring module is used for emitting laser along the axial direction of the sleeve pipe in the sleeve pipe, and is used for distance measurement and harmful gas concentration monitoring; a shielding module is arranged on the sleeve pipe; the shielding module is used for periodically shielding the laser emitted by the laser monitoring module; a gas flow speed monitoring module is arranged on the sleeve pipe; and the gas flow speed monitoring module is used for monitoring the harmful gas flow speed in the sleeve pipe. The application can accurately detect the harmful gas concentration at the bottom of the advanced drilling hole, and provides an accurate basis for the tunnel harmful gas risk evaluation.

The utility model discloses a fireproof self -cleaning gas ball valve, including the ball valve shell, the outer surface fixed mounting of ball valve shell has data processor, the upper surface fixed mounting of ball valve shell has the connecting seat, the upper surface fixed mounting of connecting seat has the connecting disc, the upper surface fixed mounting of connecting disc has electric drive part. The device can monitor the gas concentration in the air in real time through the gas sensor arranged on the monitoring branch plate, and the collected data can be transmitted to the data processor for analysis and processing. In addition, when the gas leaks, the flashing warning light is turned on and the voice broadcaster issues an alarm, which can remind the surrounding personnel on the spot. The wireless communication module can also send alarm information to the mobile terminal and the system terminal, which is convenient for relevant personnel to take timely measures and achieve the effect of pre-treatment fire prevention. The cleaning blade on the inner wall of the ball valve shell can contact the valve body when it rotates, and the outer surface of the valve body can be cleaned.

This application relates to the field of steel production technology, and in particular to a method and apparatus for evaluating the flexibility of a hydrogen-based shaft furnace. The method includes: establishing a time-domain dynamic simulation model of the hydrogen-based shaft furnace to obtain production time-domain data; constructing an initial flexibility model of the hydrogen-based shaft furnace considering the direct reduction iron metallization rate based on the first-order dynamic reaction process of the furnace; adjusting the initial flexibility model using the production time-domain data to obtain a final discretized flexibility model; and integrating the discretized flexibility model into the objective function of the hydrogen-based shaft furnace under real-time electricity prices to obtain the flexibility evaluation result. This solves the problem that related technologies often use steady-state models, which are difficult to characterize the dynamic evolution of the furnace's temperature field, gas concentration field, and reaction process under operating condition disturbances such as load changes, hydrogen supply fluctuations, and changes in raw material properties, easily leading to deviations between model predictions and actual operating conditions.

This invention relates to the field of spectroscopic measurement technology, and particularly to a measurement system and method for measuring the concentration of high-temperature combustion gases in aero-engines. The measurement system includes a supercontinuum laser source, a first collimating mirror, a second collimating mirror, a spectrometer, and a computer. The measurement method includes acquiring the actual transmittance spectrum of the high-temperature combustion gases; calculating the theoretical transmittance spectrum of the high-temperature combustion gases; constructing constraints; fitting the actual transmittance spectrum and the theoretical transmittance spectrum into the constraints; and calculating the concentration of the high-temperature combustion gases. The measurement system has a lightweight structure, requiring only holes for mounting the laser emission and absorption devices on the inner wall of the aero-engine casing. The measurement method uses a supercontinuum laser source, which, compared to ordinary lasers used in active gas detection, offers better spatial coherence, a wider spectral adjustment range, and higher intensity, enabling the detection of more types of gases. The method uses a multi-band combustion gas absorption model to solve for the temperature of the high-temperature combustion gases, improving the accuracy of the concentration calculation.

This invention discloses a non-invasive method, system, device, and storage medium for monitoring student attention based on gas sensing, belonging to the field of non-invasive sensing technology. The method includes: calculating a net physiological gas signal based on environmental baseline data and initial gas concentration data of the target student; calculating physiological characteristic indicators of the target student based on the net physiological gas signal, and determining the target student's metabolic rate level based on the physiological characteristic indicators; obtaining a state time-series signal based on the net physiological gas signal according to a preset discrimination criterion; inputting the net physiological gas signal and the state time-series signal into a pre-trained attention monitoring model to obtain the probability distribution of the target student's attention state; and determining the target student's attention state based on the target student's metabolic rate level and the probability distribution of the attention state. This invention assesses the cognitive state by capturing the gas released by the student, achieving non-invasive monitoring.

The present application belongs to the field of coal mine safety and coal gas utilization, and discloses a gas mixing control system for preventing freezing of a gas heat accumulation and oxidation shaft, which comprises a mixing device, a gas flow regulating valve, a mixed gas concentration measuring sensor and a controller. The mixed gas concentration measuring sensor is provided as at least two, and the control concentration value used by the controller is obtained by taking the arithmetic mean of the measured values of each mixed gas concentration measuring sensor. The control system uses the concentration difference between the upper and lower limits of the mixed gas concentration as a buffer zone, and continuously adjusts the opening of the low-concentration gas flow regulating valve at a certain frequency based on the mixed gas concentration monitoring value within a set time period, so that the mixed gas concentration is smoothly adjusted to the set operating target value. The present application also relates to a gas mixing control method.

The present invention provides a gas inhalation device with a constant concentration of gas entering the respiratory tract and without respiratory resistance, including: a mask, a gas source and a gas mixer, wherein the mask is a container that is capable of holding 50-1000 ml of gas, a proximal end of the mask is a soft cushion for fitting the face and surrounded by a catheter, the catheter is provided with a plurality of small orifices communicating with an inner cavity of the mask, one end of the catheter is connected to one end of an adapter tube, the other end of the adapter tube is connected to a gas delivery pipe, the gas delivery pipe is a catheter connecting the adapter tube and the gas source or the gas mixer; a distal end of the mask is provided with a huge orifice or a plurality of large orifices to ensure unobstructed gas in and out, with almost no airflow resistance, and an internal pressure of the mask cavity is always zero; one or two headband interfaces are provided on both sides of the mask's outer layer for connecting a headband fixing the mask to ensure that the mask is stably fixed on the face.

This invention provides a mobile inspection platform and its mobility method for non-coal mines, relating to the field of safety inspection technology in non-coal mines. The platform incorporates image recognition and gas concentration analysis algorithms, automatically identifying equipment status, personnel activity, and gas anomalies, and predicting risks, significantly improving safety and efficiency. It adopts a top-mounted, side-mounted rail installation method, saving ground space, avoiding collisions with personnel and equipment, and adapting to narrow tunnels; the rail uses high-strength, lightweight materials, ensuring high stability. The platform supports real-time monitoring of multiple parameters, can be expanded with various sensors, and combines remote control and timed tasks to achieve unattended, efficient inspections. The modular design facilitates maintenance and is equipped with PID control, collision sensing, automatic return, and multiple motor protections to ensure stable and safe operation. Encrypted data transmission, local storage, and remote upload are combined to automatically generate multi-format inspection reports, assisting in intelligent mine decision-making.

This invention discloses a method for monitoring the cold chain environment of fruits and vegetables based on multi-sensor fusion, belonging to the field of intelligent sensing and agricultural product logistics technology. It includes: using a flexible multimodal sensor array attached to the surface of fruits and vegetables to acquire the temperature, humidity, and original level signals of the target gas in the surface microenvironment; performing a cross-drift compensation step based on local temperature and humidity physical feedback, using a multivariate nonlinear regression model to use temperature and humidity as dynamic compensation factors, calibrating the baseline drift of the gas sensor in real time, and obtaining high-confidence gas concentration values; calculating the rate of change of the gas concentration values ​​in real time, and automatically triggering an edge interruption when the rate of change exceeds a preset jump threshold, dynamically increasing the sampling frequency and adjusting the radio frequency duty cycle. This invention solves the technical problems of large measurement errors caused by the inability of traditional rigid sensors to conformally fit, severe sensor baseline drift in high humidity environments, and the mutual constraint between high-frequency monitoring and node energy consumption.

The disclosure provides a method of operating a (HVAC) system. The method includes measuring a concentration of a gas in the target space, and determining that the concentration exceeds a gas concentration threshold. The method includes determining that operation of the HVAC system in a ventilation mode is indicated to reduce the concentration of the gas. The method includes determining a total capacity of the HVAC system, and determining a current capacity of the HVAC system. The method includes causing the HVAC system to operate in the ventilation mode after validating that the total capacity is greater than the current capacity during operation of the HVAC system in the ventilation mode.

The application relates to a detection method and system for measuring residual oxygen concentration by laser, and relates to the field of gas concentration detection. The method comprises the following steps: selecting laser with oxygen absorption peak wavelength as detection laser, applying a periodically changed modulation signal to form a modulation laser and irradiate the headspace, demodulating a direct current component from the modulation laser passing through the headspace, calculating a deviation rate according to the direct current component and a reference direct current, judging whether the deviation rate is within a threshold value, feeding back and adjusting the laser wavelength if the deviation rate is not within the threshold value, and finally outputting a laser intensity attenuation curve of residual oxygen to obtain the residual oxygen concentration. The detection system comprises an optical subsystem, an electrical subsystem, a feedback control subsystem and a data processing subsystem. The application can accurately measure the residual oxygen concentration in the headspace, effectively detect and correct the laser wavelength drift, and improve the measurement precision and stability.

The present application belongs to the field of marine environment monitoring and signal processing technology, and relates to a real-time processing method for data denoising and time lag correction of a marine dissolved gas sensor, which comprises: identifying a steady-state interval of historical observation data of the sensor, fitting a steady-state jump with a Sigmoid function to generate a virtual true value of gas concentration; constructing a neural network model with observation data as input and a preliminary correction value of gas concentration as output, training the model with historical observation data as input and the virtual true value of gas concentration as a training target; using a sliding window mechanism to intercept observation data segments of the current and historical time of the sensor, inputting the data segments into the model to output a preliminary correction value of gas concentration at the current time; and using a logic state machine for post-processing to obtain a final correction value of gas concentration at the current time. The present application can provide the sensor with real-time compensation functions that take into account high dynamic response and zero steady-state drift, thereby realizing in-situ acquisition and real-time return of high-precision observation data.

This application discloses a method for simultaneous monitoring and intelligent calibration of multi-component gas NDIR, relating to the field of gas detection technology. It solves the technical problem of low accuracy in gas concentration detection results caused by overlapping absorption spectra between different gases in existing non-dispersive infrared gas detection technologies. The method includes: determining several first and second detection gases based on spectral absorption data; a first wavelength channel corresponding to the first detection gas; calculating the gas concentration of the first detection gas corresponding to the first spectral signal based on the first spectral signal and the incident spectral signal; selecting several interfering gases corresponding to each second detection gas based on the gas concentrations corresponding to the several first detection gases, and determining the second wavelength channel of the second detection gas; calculating the corresponding gas concentration of the second detection gas based on the second spectral signal, the incident spectral signal, and the gas concentrations corresponding to the interfering gases; thus improving the detection accuracy of gas concentration.

The application provides a kind of deodorization equipment, including support frame and control module, the support frame is connected with support frame on buffer damping member, the right end of the support frame is provided with first purification part, the left end of the support frame is provided with second purification part, the air inlet of the first purification part is connected with air inlet pipe, the outer side of the air inlet pipe is provided with multi-modal perception module and environmental parameter acquisition module, the multi-modal perception module includes electrochemical gas sensor array for detecting the concentration of multiple specific gases, and metal oxide semiconductor sensor for detecting the intensity of environmental comprehensive odor;The environmental parameter acquisition module is used to collect environmental temperature and humidity data;The left of the support frame is provided with a controller, and the controller is provided with the control module;The application can realize real-time monitoring of environmental odor changes, adaptive adjustment of purification intensity, effective reduction of energy waste, improvement of deodorization efficiency and adaptation to various odor types.

The utility model discloses a kind of inert gas monitoring devices for subway strong magnetic environment belongs to strong magnetic environment gas monitoring device technical field.The inert gas monitoring device includes control module, control module is provided with sensor;Shell, control module is installed in shell, the outer periphery of shell is covered with plating layer, plating layer is metal plating layer, make shell form faraday cage, faraday cage is hollow structure.The inert gas monitoring device is set by metal plating layer in the outer periphery of shell, make shell form faraday cage, to be able to shield induced electromagnetic field in machine room, guarantee sensor and control module can normally operate, so that the inert gas monitoring device can accurately collect the concentration of inert gas.When the concentration of inert gas is monitored to reach certain condition, control center will issue early warning, prevent staff from entering machine room under the condition that inert gas concentration is relatively high, avoid the health of staff is affected.

This invention relates to the field of ventilation technology, specifically to a ventilation control method and system for coal mine roadways. It includes: obtaining the concentration of harmful gases in a target area based on the roadway environment; the target area includes at least one end of a first roadway and one end of a second roadway connected at a preset angle; the target area includes two equal-area first cross-sections and a second cross-section arranged sequentially along a first direction; based on a preset rule for the concentration of harmful gases in the target area, driving ventilation components located around the target area into an deployed state; before deployment, the ratio between the first fresh air flow rate Q1 of the first cross-section and the second fresh air flow rate Q2 of the second cross-section is greater than a first preset value; in the deployed state, the ratio between the first target flow rate QS1 of the first cross-section and the second target flow rate QS2 of the second cross-section is less than the first preset value. This solves the problem of safety hazards caused by the accumulation of harmful gases in coal mine roadways.

This utility model relates to the field of gas cylinder cabinets, and more particularly to intelligent gas cylinder cabinets. It includes a main body of the cabinet, within which a gas sensor is installed. An air outlet is located at the top of the main body, and an air inlet is located at the bottom. A fan is installed at the top of both the air outlet and the air inlet. An air control component is installed inside both the air outlet and the air inlet. The air control component includes guide vanes, a motor, and a double-sided rack. A rotating shaft is driven by the motor, and a drive gear is fixedly installed at one end of the rotating shaft. The drive gear meshes with the bottom end of the double-sided rack. In this utility model, when the gas sensor detects that the gas concentration inside the cabinet is too high, the guide vanes of the air control component are in a vertical position. The air outlet discharges the gas, and the air inlet introduces fresh outside air, forming a good ventilation circulation and preventing the gas from gradually accumulating inside the cabinet and potentially causing a hazard.

This invention provides a device and method for real-time assessment of combustion toxicity based on dynamic airflow analysis. The device includes a combustion generator, a mixing chamber, a gas analysis system, an air source, and a data processing and control system. The combustion generator is used to thermally decompose the sample and generate combustion flue gas. One end of the air source is connected to the first air inlet of the combustion generator, and the other end is connected to the air inlet of the mixing chamber. The first air outlet of the combustion generator is connected to the second air inlet of the mixing chamber via a first pipeline. The second air outlet of the mixing chamber is connected to the first end of the gas analysis system. The air source can supply air to the combustion generator and the mixing chamber to generate a test atmosphere of a specific concentration, which is then monitored and evaluated in real time by the gas analysis system. By changing the test parameters, various decomposition conditions can be simulated, and information such as gas concentration and toxicity index can be provided online in real time, thereby evaluating the combustion toxicity of non-metallic materials.

This application relates to a method, system, equipment, and medium for intelligent control of gas concentration in the tunnel boring machine (TBM) environment. The method includes: acquiring a three-dimensional reconstructed reduced-order model of the gas concentration field; acquiring multi-source monitoring data of the tunneling environment and standardizing it to obtain a standardized input dataset; correcting the gas concentration field state vector based on the standardized input dataset and the model to obtain a corrected gas concentration field state vector; performing multi-step prediction of the gas concentration change trend based on the corrected gas concentration field state vector to obtain a gas concentration risk evolution sequence for future periods; and optimizing the control parameters of the ventilation and exhaust equipment based on the future gas concentration risk evolution sequence and the operating constraints of the ventilation and exhaust equipment to obtain a control command sequence. This method enables three-dimensional global perception and proactive forward control of gas concentration, solving the problems of control lag and blind spots.

The application provides a generator oversize retainer ring bulging process parameter optimization method and system, relates to the plastic processing technical field, and the method comprises the steps of constructing a multi-source sensor array, synchronously collecting trace gas concentration field information and sealing gap change information, forming a leakage original data set and a wear original data set respectively, obtaining a leakage characteristic parameter and a wear amount parameter, constructing a high-dimensional feature vector based on the leakage characteristic parameter and the wear amount parameter, calculating bulging uniformity, wear unevenness, wear leakage coupling abnormality index and instability risk index according to the high-dimensional feature vector, determining a bulging process state category according to a multi-threshold-based judgment logic tree, and generating a corresponding process parameter adjustment strategy according to the bulging process state category. The technical problems of isolated multi-source sensing information, incomplete state representation, lagging abnormality identification and lack of closed-loop control mechanism are solved.

Flow path sensing for flow therapy devices is provided that include a sensing chamber that measures the flow of gas provided to a patient. The sensing chamber can be located after a blower and / or a mixer. The sensing chamber can include an ultrasonic transducer, a temperature sensor, a heated temperature sensing element, and / or a gas concentration sensor. The gas flow path used in conjunction with the sensor system prevents the creation of unwanted vortices in the flow of gas that can create anomalies in the flow measurement.

When using spectroscopic diode lidar to detect a gas of interest such as methane (CH4), detecting high concentration pathlength (CPL) values of the gas of interest may not actually indicate a plume or leak. In areas such as a refinery, where ambient gas levels may be routinely high, absorption from ambient gas measured over a long pathlength may produce the same CPL value as a much closer gas leak, leading to a false positive. By collecting and using lidar distance information in tandem with the CPL values determined from the lidar system spectroscopic measurements, the statistical properties of the dataset can be evaluated, and ambient concentrations of the gas estimated. A lidar dataset with revised values of CPL that adjusts for these measurements of ambient concentration may be created to provide better reliability for analysis and in for triggering alarms for potentially dangerous gas concentrations and leaks.

The application relates to a coal mining machine control method, device, equipment, medium and product based on gas sampling analysis. The method comprises the following steps: acquiring real-time monitoring data of multiple gas sensors; dynamically adjusting the fusion weight of each support gas sensor according to the real-time position of the coal mining machine, and calculating the final gas concentration and the gas concentration change rate, wherein the closer the support gas sensor is to the coal mining machine, the higher the weight of the support gas sensor; controlling the traction speed of the coal mining machine according to the interval where the gas concentration change rate is located; arbitrating multiple speed control instructions according to a preset instruction priority rule, and outputting the target speed corresponding to the winning instruction of the arbitration as a final speed instruction to the coal mining machine. Thus, different speed regulation rules can be matched according to the interval of the exceeding standard level, smooth speed regulation from normal to critical risk is realized, and the operation stability and mining efficiency of the coal mining machine are significantly improved on the premise of ensuring the safety of coal mining operation in a coal mine.

This application provides a method, apparatus, device, and medium for optimizing greenhouse gas emission inventory data. The method acquires emission inventory data, multi-source observation concentration data, and auxiliary data for a target greenhouse gas in a target area. The emission inventory data includes the emission amount of the target greenhouse gas in the spatiotemporal dimensions within the target area. Using an atmospheric transport model, gas concentration simulation is performed based on the emission inventory data to obtain simulated gas concentration data in the spatiotemporal dimensions. The emission inventory data, multi-source observation concentration data, and auxiliary data are spatiotemporally aligned and correlated with the simulated gas concentration data to obtain correlated data. The correlated data is input into a trained physical-guided neural network to obtain an optimization coefficient sequence. The emission inventory data is then optimized based on the optimization coefficient sequence to obtain optimized target emission inventory data. Embodiments of this application can improve the accuracy of the emission inventory.

The application discloses a kind of coal mine underground sealed roadway gas content real-time determination system and determination method, belong to coal mine gas content determination field;The method comprises: before roadway sealing, distribute distributed sensing optical fiber network and determine initial volume;After sealing, continuously monitor surrounding rock strain and internal gas pressure, temperature and gas concentration;Periodically inject known amount of inert gas into sealed space, use the change of gas concentration, pressure and temperature before and after injection, based on gas state equation to invert current absolute volume;Based on optical fiber strain data, calculate volume estimate through geometric and physical model, fuse the above two volume data, obtain continuous, high-precision optimal dynamic volume;Finally, fuse dynamic volume, concentration, pressure and temperature data, calculate gas total content and its change rate in standard state in real time, realize hierarchical early warning and gas resource, risk quantification management.

This application provides a TDLAS gas sensor and its anti-interference filtering and noise reduction method, relating to the field of gas concentration detection technology. The method includes: acquiring the original analog-to-digital conversion data of the gas to be measured; using an adaptive median filtering algorithm to filter, reduce noise, and correct the baseline of the original data to obtain a time-domain signal; and calculating the gas concentration based on Beer-Lambert's law. The adaptive median filtering algorithm uses multi-resolution analysis to decompose the signal into low-frequency and high-frequency components, identifies noise regions and absorption peak regions by calculating local gradient changes, and performs multi-scale reconstruction after adaptive threshold classification. This invention addresses the problem of TDLAS gas sensors being susceptible to interference from environmental temperature and pressure fluctuations. By protecting the absorption peak region while filtering out the noise region, it significantly improves the signal-to-noise ratio and detection stability, and has the advantages of strong anti-interference capability, fast response speed, and significant noise reduction effect.

This invention provides a temperature- and pressure-swapping coupling method for low-temperature solid adsorption, belonging to the field of gas separation and purification technology. It can at least partially solve the problems of low adsorption capacity, incomplete desorption, and large adsorbent consumption in existing low-temperature solid adsorption processes. The invention includes: pretreating the gas to be treated to obtain a raw gas and introducing it into a pressure-resistant sealed reactor filled with solid adsorbent; during the adsorption stage, cooling to a preset adsorption temperature and pressurizing to a preset adsorption pressure via a heat exchange structure to adsorb the target gas; monitoring the target gas concentration at the purified gas outlet to determine adsorption termination; during the desorption stage, depressurizing to a preset desorption pressure and heating to a preset desorption temperature to desorb and collect the target gas; monitoring the target gas concentration at the desorbed gas outlet to determine desorption completion, and restoring the initial state to complete one adsorption-desorption cycle. This invention achieves coupled operation of temperature- and pressure-swapping processes, which can increase adsorption capacity by 40% to 70% and reduce adsorbent consumption and equipment size.

This utility model relates to the technical field of pipeline inspection equipment, and provides a buried gas pipeline leak detection device, including a first snap plate with one open end, a second snap plate connected below the first snap plate, blocking plates connected to both sides of the first snap plate, and a transmission component for driving the detection device along the pipeline. The first snap plate, the second snap plate, and the blocking plates form a sealed space covering the outside of the pipeline. The second snap plate is provided with a support component for abutting against the pipeline. Along the length of the first snap plate, gas concentration sensors are arranged in an array. A battery is provided on the first snap plate, and a GPS positioning module is installed inside the battery. The buried gas pipeline leak detection device of this utility model can quickly and accurately detect whether a section of pipeline is leaking by setting up a sealed space. It can automatically detect a distance underground by burying the pipeline, improving detection efficiency and achieving accurate positioning, and is suitable for complex geological environments.

This application discloses a liquid replenishment method, apparatus, and medium for a gas concentration detection sensor, relating to the field of liquid replenishment technology. The liquid replenishment system includes an infusion tube, a delivery device, a liquid replenishment bottle, and a controller connected to the delivery device. The liquid replenishment method is applied to the controller and includes: acquiring temperature and humidity change data of the sensor's environment from the previous moment to the current moment; substituting the temperature and humidity change data into a neural network model to obtain the chemical reagent consumption; and if the chemical reagent consumption exceeds a set consumption threshold, initiating the chemical reagent replenishment process for the sensor. By combining the neural network model to determine the sensor's chemical reagent consumption and replenishing the sensor with chemical reagents based on the consumption, the problem of frequent or untimely liquid replenishment can be avoided by manually replenishing chemical reagents based on experience. The controller controls the delivery device to deliver chemical reagents according to the liquid replenishment method, achieving automatic liquid replenishment and saving labor costs.