High-efficiency detection method and system for components of gas release device
By dynamically adjusting the sampling flow rate and position switching, combined with gas chromatography-mass spectrometry and nitrogen purging, the problem of adaptability to gas concentration differences in the gas release device was solved, enabling accurate detection of gas components and display of distribution characteristics, thus improving detection efficiency and safety.
Patent Information
- Application Number
- CN202511095444.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-06
- Publication Date
- 2025-10-28
- Estimated Expiration
- 2045-08-06
AI Technical Summary
In existing technologies, the fixed sampling flow rate and time interval of gas release devices cannot adapt to the differences in gas concentration at different locations, resulting in data redundancy in high-concentration areas and missing information in low-concentration areas. The qualitative and quantitative accuracy of mixed gas components is low, making it difficult to meet the needs of real-time monitoring.
By dynamically adjusting the sampling flow rate and dynamically switching the sampling position using a stepper motor, a sampling correlation control matrix is constructed. Gas chromatography-mass spectrometry is used to accurately detect gas components and concentrations. Combined with nitrogen purging and closed-loop control, cross-contamination is reduced, and a gas component distribution map is generated.
It enables precise capture of gas composition differences in key parts of the gas release device, improves quantitative accuracy, ensures the safety and stability of the gas release device, and provides an intuitive presentation of the spatiotemporal distribution characteristics of gas composition.
Smart Images

Figure CN120594727B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of gas detection and analysis technology, specifically to a method and system for efficient component detection in gas release devices. Background Technology
[0002] Gas release devices are widely used in chemical production, energy supply, environmental protection and other fields. The composition and concentration of the released gas are directly related to production safety, equipment operating efficiency and environmental risks. As industrial processes increase their requirements for gas purity and safety, rapid and accurate detection of the composition of gas release devices has become a key link to ensure the stable operation of the system. Currently, the composition detection of gas release devices uses fixed sampling flow rate and time interval, which is difficult to adapt to the differences in gas concentration at different locations. This leads to data redundancy in high concentration areas and missing information in low concentration areas. In addition, the qualitative and quantitative accuracy of mixed gas composition is low, which makes it difficult to meet the needs of real-time monitoring.
[0003] In summary, existing technologies suffer from the technical problem that fixed sampling flow rates and time intervals cannot adapt to the differences in gas concentration at different locations of the gas release device, making it difficult to accurately reflect the gas composition distribution and meet the requirements of safety control. Summary of the Invention
[0004] This application provides a method and system for efficient component detection in gas release devices, aiming to solve the technical problem that the fixed sampling flow rate and time interval in the prior art cannot adapt to the differences in gas concentration at different locations of the gas release device, making it difficult to accurately reflect the gas component distribution and meet the requirements of safety control.
[0005] In view of the above problems, the technical solution to achieve the present application is as follows:
[0006] In a first aspect, this application provides a method for efficient component detection in a gas release device, wherein the method includes: collecting a gas sample through a sampling channel connected to the gas release device and introducing it into a gas chromatography-mass spectrometry (GC-MS) instrument; configuring the column temperature gradient and mass spectrometry scanning parameters; adjusting the sampling flow rate at each sampling position corresponding to the sampling channel according to a flow controller; synchronously recording the sampling time, position, and environmental pressure parameters; setting a sampling association control matrix in conjunction with the column temperature gradient and mass spectrometry scanning parameters; determining the gas components and the concentration of each component using the corresponding quantitative and qualitative unit quantity of the GC-MS instrument; mapping and associating the gas components and the concentration of each component with the corresponding sampling association control matrix to generate a gas component distribution map; and generating a component detection report by combining the performance indicators of the gas release device with safety concentration thresholds and component ratio thresholds.
[0007] Preferably, each sampling position corresponding to the sampling channel corresponds to at least the air inlet, the middle section, and the air outlet of the gas release device; a stepper motor is used to drive the sampling probe, and the sampling position is switched between each sampling position according to a dynamic time interval.
[0008] Preferably, the dynamic time interval is adaptively adjusted based on the gas concentration gradient between the current sampling position and the adjacent sampling positions: when the gas concentration gradient exceeds the relative concentration change amplitude threshold, the sampling interval is shortened to M times the basic time interval; when the gas concentration gradient is lower than the relative concentration change amplitude threshold, the sampling interval is shortened to N times the basic time interval, where M < 1 and N > 1; a nitrogen purging mechanism is activated during the switching of each sampling position, and the stepper motor adopts closed-loop servo control.
[0009] Preferably, the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample are uploaded; after aligning the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample with the reference axis, the retention time, characteristic ion abundance ratio and absorption peak area of the infrared spectrum corresponding to the gas chromatography-mass spectrometry are fused to configure the quantitative and qualitative unit quantity for the coupled system.
[0010] Preferably, using a standard infrared spectral library of common gas components as a benchmark, the actual wavenumber deviation value is determined by comparing the characteristic absorption peak intensity and wavenumber of the gas sample; after aligning the reference axis based on the actual wavenumber deviation value, the absorption peak matching degree is determined; if the absorption peak matching degree meets the matching degree standard, the reference axis alignment operation is considered valid.
[0011] Preferably, each gas in the standard infrared spectral library contains at least three standard wavenumbers for characteristic absorption peaks, and each standard wavenumber is accompanied by an allowable deviation range and an intensity reference value; when the wavenumber of the characteristic absorption peak of the gas sample falls within the allowable deviation range of the standard wavenumber, and the relative error between the intensity of the characteristic absorption peak of the gas sample and the intensity reference value of the standard wavenumber does not exceed a preset error threshold, it is determined to be a valid matching peak.
[0012] Preferably, for the components of the mixed gas, the relative content ratio is determined by comparing the proportion of characteristic absorption peak intensity with the proportion of theoretical characteristic absorption peak intensity of the mixed components in the standard infrared spectral library; according to the gas flow rate requirement, the sampling flow rate of each sampling position is dynamically allocated according to the flow controller, so that the product of the sampling flow rate and the corresponding gas concentration at each sampling position is kept within the linear response range of the gas chromatography-mass spectrometry instrument.
[0013] Preferably, the flow controller adopts a dual-channel control mode, wherein the main channel is responsible for the sampling flow distribution between the air inlet and the air outlet, and the secondary channel is used to compensate for pipeline losses; at the same time, according to the gas concentration fluctuation at the sampling position in the middle section, the main channel dynamically adjusts the flow ratio between the air inlet and the air outlet.
[0014] Preferably, for a single gas component, if at least two of the three characteristic absorption peaks achieve effective matching, a secondary verification is triggered: the retention time window of the gas chromatography-mass spectrometry system is cross-validated with the abundance ratio of the characteristic ions in the mass spectrometry.
[0015] In a second aspect, this application provides a high-efficiency component detection system for a gas release device, wherein the system comprises: a configuration module: collecting gas samples through a sampling channel connected to the gas release device and introducing them into a gas chromatography-mass spectrometry (GC-MS) instrument, configuring the column temperature gradient and mass spectrometry scanning parameters; a matrix setting module: adjusting the sampling flow rate at each sampling position corresponding to the sampling channel according to a flow controller, synchronously recording sampling time, position, and environmental pressure parameters, and setting a sampling association control matrix in conjunction with the column temperature gradient and mass spectrometry scanning parameters; a concentration determination module: determining the gas components and the concentration of each component using the corresponding quantitative and qualitative unit quantity of the GC-MS instrument; and a mapping association module: mapping and associating the gas components and the concentration of each component with the corresponding sampling association control matrix to generate a gas component distribution map, and generating a component detection report by combining the performance indicators of the gas release device with safety concentration thresholds and component ratio thresholds.
[0016] In summary, one or more technical solutions provided in this application achieve the following technical effects: by dynamically adjusting the flow rate at different sampling positions and dynamically switching the sampling positions using a stepper motor, the gas composition differences in various key parts of the device can be accurately captured; at the same time, cross-contamination can be reduced through nitrogen purging and closed-loop control; by constructing a sampling correlation control matrix and combining it with a gas composition distribution map, the spatiotemporal distribution characteristics of the gas composition can be presented intuitively; and by dynamically allocating the flow rate, the linearity of the detection response can be ensured, thereby improving quantitative accuracy and ensuring the safety and stability of the gas release device operation. Attached Figure Description
[0017] Figure 1 This application provides a flowchart illustrating a method for efficient component detection in a gas release device.
[0018] Figure 2 This application provides a structural schematic diagram of a high-efficiency component detection system for a gas release device.
[0019] Explanation of reference numerals in the attached diagram: Configuration module M100, Matrix setting module M200, Concentration determination module M300, Mapping association module M400. Detailed Implementation
[0020] Example 1: The present application will be described in detail below with reference to the accompanying drawings, as follows... Figure 1 As shown, this application provides a method for efficient component detection in a gas release device, wherein the method includes:
[0021] S1: Collect gas samples through the sampling channel connected to the gas release device and import them into the gas chromatography-mass spectrometry (GC-MS) instrument, and configure the column temperature gradient and mass spectrometry scanning parameters; S2: Adjust the sampling flow rate at each sampling position corresponding to the sampling channel according to the flow controller, and simultaneously record the sampling time, position and environmental pressure parameters. Combine the column temperature gradient and mass spectrometry scanning parameters to set up a sampling correlation control matrix.
[0022] Specifically, a sampling channel refers to the piping system connecting the gas release device and the detection instrument (such as a gas chromatography-mass spectrometry system), used to guide the gas sample from the device to the detection instrument. The sampling flow rate refers to the volume of gas passing through the sampling channel per unit time, directly affecting the representativeness of the gas sample and the response speed of the detection instrument. The sampling correlation control matrix is a data structure used to store and correlate various parameters during the sampling process (such as sampling time, location, flow rate, and ambient pressure) and the detection instrument's settings (such as column temperature gradient and mass spectrometry scanning parameters), enabling accurate traceability and interpretation of detection results in subsequent analyses.
[0023] Execution steps: Gas samples are collected through a sampling channel connected to the device. The sampling channel must ensure that the gas samples can be extracted from the device without damage and that interference with the external environment is minimized during transmission. The gas release device contains a variety of complex gas components. With a well-designed sampling channel, gas samples from the inlet, intermediate section to the outlet can be accurately collected. The sampling flow rate is adjusted by a flow controller. The flow controller can dynamically adjust the sampling flow rate according to the gas concentration differences at different sampling locations. For example, when a high gas concentration is detected at the inlet, the flow controller can appropriately increase the sampling flow rate at that location to obtain a more representative sample; while in low-concentration areas, the sampling flow rate can be appropriately reduced to avoid data redundancy.
[0024] Synchronously recording sampling time, location, and environmental pressure parameters is essential to ensure the traceability of the sampling process and the accuracy of the data. These parameters are crucial for subsequent analysis of the spatiotemporal distribution characteristics of gas components. Changes in environmental pressure can affect the diffusion rate and concentration distribution of gases. By recording these parameters, appropriate corrections and compensations can be made during analysis. By combining the column temperature gradient and mass spectrometry scanning parameters to set up the sampling correlation control matrix, the sampling process is closely linked to the settings of the detection instrument.
[0025] The column temperature gradient and mass spectrometry scanning parameters directly affect the separation and detection performance of gas components by the instrument. Different gas components require different temperature gradients to achieve optimal separation, while the mass spectrometry scanning parameters determine the sensitivity and resolution of the instrument for scanning ions within a specific mass range. By constructing a sampling correlation control matrix, various parameters during the sampling process are correlated with the instrument settings, enabling accurate tracking and interpretation of detection results in subsequent analyses, thus achieving precise analysis and monitoring of gas component distribution.
[0026] By constructing a sampling correlation control matrix, various parameters in the sampling process are correlated with the settings of the detection instrument. Furthermore, the row dimension of the sampling correlation control matrix includes the sampling positions of the gas inlet, intermediate section, and gas outlet, and the column dimension includes the detection parameters such as column temperature, mass spectrometry scanning speed, and sampling flow rate. The matrix elements of the sampling correlation control matrix are parameter coordination coefficients (0-1). For example, the coordination coefficient between the intermediate section and the medium-temperature chromatographic conditions (80℃-150℃) is set to 0.85. When the ambient humidity is >60%RH, the sampling correlation control matrix automatically activates the dehumidification compensation coefficient (reducing the sampling flow rate at the corresponding position by 15%) to protect the detection equipment.
[0027] S3: Determine the gas composition and concentration of each component using the corresponding quantitative and qualitative unit quantity of the gas chromatography-mass spectrometry instrument; S4: Map the gas composition and concentration of each component to the corresponding sampling association control matrix to generate a gas composition distribution map, and generate a component detection report by combining the performance indicators of the gas release device with the safety concentration threshold and the component ratio threshold.
[0028] Specifically, the quantitative and qualitative unit quantity corresponding to gas chromatography-mass spectrometry (GC-MS) refers to the comprehensive capability of the GC-MS detection system to perform qualitative and quantitative analysis of gas samples through the synergistic effect of chromatographic separation and mass spectrometry detection. Qualitative analysis determines gas components by matching mass spectra to a standard database, while quantitative analysis determines the concentration of each component by comparing the chromatographic peak area or height with a known concentration standard curve. A gas component distribution map is a visualization tool used to show the distribution of gas components at different sampling locations, times, and environmental conditions. It maps and correlates data in the sampling correlation control matrix with the detection results, intuitively presenting the spatiotemporal distribution characteristics of gas components. The component analysis report is an analytical report generated based on the gas component distribution map and the performance indicators, safe concentration thresholds, and component ratio thresholds of the gas release device, used to assess the operating status and safety of the gas release device.
[0029] Execution steps: By using gas chromatography-mass spectrometry (GC-MS) for quantitative and qualitative analysis, the collected gas samples can be accurately analyzed for their components. For mixed gas samples, GC-MS can separate the different gas components and accurately identify each gas component by matching the mass spectrum with a standard database. At the same time, by comparing the chromatographic peak area or height with a standard curve of known concentration, the concentration of each component can be accurately measured, providing a solid data foundation for subsequent analysis.
[0030] By mapping and associating the gas composition and concentration of each component with the sampling correlation control matrix, a gas composition distribution map is generated. The sampling correlation control matrix records various parameters during the sampling process, such as sampling time, location, flow rate, and environmental pressure, as well as the setting parameters of the detection instrument, such as the column temperature gradient and mass spectrometry scanning parameters. By mapping and associating the detection results with these parameters, a gas composition distribution map can be generated. The gas composition distribution map not only shows the distribution of gas components at different locations, but also reflects their changing trends with time and environmental conditions. Preferably, the gas composition distribution map can clearly show the changes in gas composition from the inlet to the outlet, as well as the fluctuations in gas concentration at different production stages.
[0031] The gas components and their concentrations are mapped and associated with the corresponding sampling correlation control matrix to generate a gas component distribution map. Furthermore, the gas component distribution map is visualized in three dimensions: the X-axis represents the sampling position (mm), the Y-axis represents the detection time (s), and the Z-axis represents the concentration (mg / m³). Areas exceeding the standard (concentration > safe concentration threshold) are dynamically marked with flashing indicators. The map supports slice analysis of the gas component distribution map and can extract the concentration gradient curve of any cross section, ensuring that the gradient error is accurate and controllable.
[0032] By combining the performance indicators, safe concentration thresholds, and component ratio thresholds of the gas release device, a component analysis report is generated. The performance indicators of the gas release device reflect the parameter range for its normal operation, while the safe concentration thresholds and component ratio thresholds are important indicators for ensuring production safety and environmental safety. By comparing and analyzing the data in the gas component distribution map with these indicators, a detailed component analysis report can be generated. The component analysis report not only provides detailed information on the gas components but also assesses whether the gas release device is operating normally, whether there are any safety hazards, and whether adjustments are needed, thereby ensuring the safe operation of the gas release device and the stability of the production process.
[0033] Furthermore, the method of this application includes:
[0034] Each sampling position corresponding to the sampling channel corresponds to at least the air inlet, intermediate section, and air outlet of the gas release device; a stepper motor is used to drive the sampling probe, and the sampling position is switched between each sampling position according to a dynamic time interval.
[0035] Specifically, the sampling position refers to the exact location within the gas release device where the sampling probe can reach and collect gas samples. These positions typically include the gas inlet, intermediate section, and outlet of the gas release device, as these locations reflect the gas flow process and composition changes within the device. The inlet is the initial position where gas enters the device, the intermediate section is the area where the gas reacts or changes within the device, and the outlet is the position where the gas leaves the device. A stepper motor is a motor that converts electrical pulse signals into mechanical angular displacement to achieve precise control and positioning, used to drive the sampling probe to switch between different sampling positions. The dynamic time interval means that the time interval between the sampling probe switching between different sampling positions is not fixed, but dynamically adjusted according to changes in gas concentration or other parameters.
[0036] Execution steps: Each sampling position corresponding to the sampling channel includes at least the inlet, intermediate section, and outlet of the gas release device. This layout can comprehensively cover the gas flow path within the device, thereby more accurately reflecting changes in gas composition. Specifically, sampling at the inlet can detect the initial composition of the gas when it enters the device, sampling at the intermediate section can monitor the composition changes of the gas after chemical reactions or physical changes occur within the device, and sampling at the outlet can assess the final composition of the gas when it leaves the device. This comprehensive sampling layout can provide more comprehensive data support for the spatiotemporal distribution analysis of gas composition.
[0037] A stepper motor drives the sampling probe, switching between sampling positions at dynamic time intervals. The high-precision control of the stepper motor allows the sampling probe to switch quickly and accurately between different sampling locations. The dynamic time interval further enhances the flexibility and adaptability of the sampling process. For example, when a rapid change in gas concentration is detected at the inlet, the sampling interval can be shortened to increase the sampling frequency and capture concentration changes more promptly. Conversely, in the relatively stable middle section of the gas or at the outlet, the sampling interval can be appropriately extended to reduce data redundancy. This approach not only improves sampling efficiency but also ensures that the collected gas samples are more representative.
[0038] Furthermore, the closed-loop servo control of the stepper motor can further improve the stability and reliability of the sampling process. Preferably, during the switching of the sampling probe, the closed-loop control can monitor and adjust the motor's operating status in real time to ensure that the sampling probe accurately reaches the predetermined position and avoid sampling deviations caused by mechanical errors or external interference. By combining dynamic sampling with the high-precision control of the stepper motor, the efficiency and accuracy of gas component detection can be significantly improved, providing more reliable technical support for the safe operation and performance optimization of the gas release device.
[0039] Furthermore, the method of this application involves switching between sampling locations according to dynamic time intervals, and includes:
[0040] The dynamic time interval is adaptively adjusted based on the gas concentration gradient between the current sampling position and the adjacent sampling positions: when the gas concentration gradient exceeds the relative concentration change amplitude threshold, the sampling interval is shortened to M times the basic time interval; when the gas concentration gradient is lower than the relative concentration change amplitude threshold, the sampling interval is shortened to N times the basic time interval, where M < 1 and N > 1; a nitrogen purging mechanism is activated during the switching of each sampling position, and the stepper motor adopts closed-loop servo control.
[0041] Specifically, the gas concentration gradient refers to the rate of change of gas concentration between different sampling locations, reflecting the spatial variation of gas concentration. It can be calculated by measuring the gas concentration difference between adjacent sampling locations. The relative concentration change threshold is a preset parameter used to determine whether the gas concentration change is significant. When the actual gas concentration gradient exceeds this threshold, it indicates that the gas composition is changing rapidly in that area, requiring more frequent sampling to capture these changes. The nitrogen purging mechanism is a cleaning measure that injects nitrogen into the sampling channel to purge residual gas samples and avoid cross-contamination. Closed-loop servo control is a control method that uses a feedback mechanism to monitor the position and status of the stepper motor in real time to ensure its precise operation.
[0042] Execution steps: When the gas concentration gradient exceeds the relative concentration change threshold, it indicates that the gas composition changes rapidly in this region. In this case, the sampling interval is shortened to M times the basic time interval (M < 1) to increase the sampling frequency and capture concentration changes more promptly. For example, if the gas concentration gradient between the inlet and the middle section is large, it indicates that the gas composition changes rapidly after entering the device. In this case, shortening the sampling interval can monitor these changes more accurately. Conversely, when the gas concentration gradient is below the relative concentration change threshold, it indicates that the gas composition changes slowly. In this case, the sampling interval is extended to N times the basic time interval (N > 1) to reduce data redundancy. For example, in the outlet region where the gas composition is relatively stable, extending the sampling interval can avoid unnecessary sampling operations and improve detection efficiency.
[0043] The nitrogen purging mechanism is activated during the sampling position switching process to avoid cross-contamination. As an inert gas, nitrogen can effectively purge residual gas in the sampling channel, ensuring that each gas sample collected is pure. For example, when switching from the inlet to the intermediate section sampling, nitrogen purging can remove residual inlet gas in the channel, ensuring the accuracy of intermediate section sampling.
[0044] Meanwhile, the stepper motor employs closed-loop servo control, which monitors and adjusts the motor's position and status in real time to ensure that the sampling probe accurately reaches the predetermined position. Through a feedback mechanism, the closed-loop servo control can promptly correct deviations caused by mechanical errors or external interference, improving the stability and reliability of the sampling process. For example, during probe switching, the closed-loop servo control ensures the probe moves precisely from one sampling position to another, avoiding sampling deviations caused by positional errors. In the above steps, this combination of dynamic time interval adjustment, nitrogen purging, and closed-loop servo control achieves efficient and accurate gas sampling, providing strong support for the precise detection of gas components.
[0045] Furthermore, by using the corresponding quantitative and qualitative unit quantity of the gas chromatography-mass spectrometry (GC-MS) instrument, the gas composition and concentration of each component are determined. The method of this application includes:
[0046] Upload the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample; after aligning the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample with the reference axis, perform data fusion on the retention time, characteristic ion abundance ratio and absorption peak area of the infrared spectrum corresponding to the gas chromatography-mass spectrometry instrument, and configure the quantitative and qualitative unit quantity for coupled analysis.
[0047] Specifically, characteristic absorption peak intensity refers to the absorption intensity of a gas sample at a specific wavenumber in the infrared spectrum. It reflects the absorption capacity of gas molecules for infrared light of a specific wavelength and is an important basis for qualitative and quantitative analysis of gas components. Characteristic absorption peak wavenumber refers to the wavenumber position of the absorption peak in the infrared spectrum of a gas sample. Different gas components have unique characteristic absorption peak wavenumbers, which can be used to distinguish different gas components. Reference axis alignment refers to aligning the characteristic absorption peak intensity and wavenumber of the gas sample with data in a standard infrared spectral library to eliminate deviations caused by instrument drift or changes in experimental conditions. Data fusion refers to the comprehensive analysis of data from different detection methods (such as gas chromatography, mass spectrometry, and infrared spectroscopy) to improve the accuracy and reliability of the detection results. Combined quantitative and qualitative unit measurement refers to the determination of quantitative and qualitative analysis results of gas components and their concentrations by comprehensively analyzing data from multiple detection methods.
[0048] Execution steps: First, the characteristic absorption peak intensities and wavenumbers of the gas sample need to be uploaded. These data are obtained through infrared spectroscopy and reflect the absorption characteristics of the gas sample at a specific wavenumber. The absorption peak intensity reflects the concentration of that component. Uploading this data provides fundamental information for subsequent analysis. Next, the characteristic absorption peak intensities and wavenumbers of the gas sample are used for baseline alignment. This process compares and aligns the measured absorption peaks with data in a standard infrared spectral library to eliminate deviations caused by instrument drift or changes in experimental conditions. For example, if the measured absorption peak wavenumber deviates from the standard wavenumber, baseline alignment can correct this deviation, ensuring the accuracy of subsequent analysis.
[0049] After aligning the reference axis, data from gas chromatography-mass spectrometry (GC-MS) of retention time, characteristic ion abundance ratio, and infrared spectroscopy absorption peak area are fused. Specifically, GC separates different components based on retention time, mass spectrometry performs qualitative analysis based on characteristic ion abundance ratio, and infrared spectroscopy performs quantitative analysis based on absorption peak area. Data fusion integrates these data from different detection methods, improving the accuracy and reliability of the results. For example, for a mixed gas sample, GC can separate different components, mass spectrometry can determine the molecular structure of each component, and infrared spectroscopy can provide concentration information for each component. Data fusion combines this information to form a complete detection result. By configuring the combined quantitative and qualitative units through data fusion, quantitative and qualitative analysis results of gas components and their concentrations are generated, improving detection accuracy. This allows for the timely detection of potential safety hazards and the implementation of corresponding adjustments and optimizations, providing more accurate data support for the safe operation of gas release devices.
[0050] Furthermore, the method of this application includes aligning the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample to a reference axis, and includes:
[0051] Using a standard infrared spectral library of common gas components as a benchmark, the actual wavenumber deviation value is determined by comparing the intensity and wavenumber of the characteristic absorption peaks of the gas sample. After aligning the reference axis based on the actual wavenumber deviation value, the absorption peak matching degree is determined. If the absorption peak matching degree meets the matching degree standard, the reference axis alignment operation is considered valid.
[0052] Specifically, the standard infrared spectral library is a database containing standard infrared absorption spectra of common gas components. These data are typically precisely measured and verified, serving as a reference for qualitative and quantitative analysis of gas components. The actual wavenumber deviation refers to the difference between the wavenumber of the characteristic absorption peak of a gas sample and the standard wavenumber of the corresponding gas component in the standard infrared spectral library, reflecting possible instrument drift or changes in experimental conditions during the measurement process. The absorption peak matching degree is an indicator that measures the similarity between the characteristic absorption peak of a gas sample and the corresponding absorption peak in the standard infrared spectral library. It is usually determined by calculating the degree of matching of parameters such as the wavenumber and intensity of the absorption peak. The matching degree standard is used to judge whether the absorption peak matching is close enough, thereby determining whether the reference axis alignment operation is effective.
[0053] Execution steps: To ensure the accuracy of the detection results, it is necessary to compare the intensity and wavenumber of the characteristic absorption peak of the gas sample with the data in the standard infrared spectral library. Specifically, compare the wavenumber of the characteristic absorption peak of the gas sample with the standard wavenumber of the corresponding gas component in the standard infrared spectral library, and calculate the actual wavenumber deviation value. For example, if the wavenumber of the characteristic absorption peak of the gas sample is 1500 cm⁻¹... -1 The standard wavenumber is 1505 cm⁻¹. -1 The actual wavenumber deviation is -5cm. -1 This deviation value reflects possible instrument drift or changes in experimental conditions during the measurement process.
[0054] Based on the actual wavenumber deviation value, the characteristic absorption peaks of the gas sample are aligned to the reference axis. This process eliminates deviation by adjusting the wavenumber position of the absorption peaks to match the standard wavenumber. For example, if the actual wavenumber deviation value is -5cm... -1 Then the wavenumbers of all characteristic absorption peaks are adjusted upwards by 5 cm. -1 Align these peaks with the standard wavenumber. After alignment, determine the matching degree between the characteristic absorption peaks of the gas sample and the corresponding absorption peaks in the standard infrared spectral library. The matching degree can be determined by calculating the similarity of parameters such as wavenumber and intensity of the absorption peaks. For example, if the relative error between the intensity of the characteristic absorption peak of the gas sample and the intensity of the standard absorption peak does not exceed 5%, and the wavenumber deviation is within the allowable range, the matching degree can be considered high.
[0055] If the absorption peak matching degree meets the preset matching degree standard, the reference axis alignment operation is considered valid. For example, the matching degree standard is that the relative error of the absorption peak intensity does not exceed 5%, and the wavenumber deviation does not exceed ±2cm. -1If the actual matching results meet these conditions, the benchmark alignment operation can be considered successful, ensuring that the characteristic absorption peaks of the gas sample are highly consistent with the data in the standard infrared spectral library, thus providing a reliable basis for subsequent qualitative and quantitative analysis. Preferably, this benchmark alignment and matching degree evaluation method significantly improves the accuracy and reliability of gas component detection.
[0056] Furthermore, the method of this application includes:
[0057] Each gas in the standard infrared spectral library contains at least three standard wavenumbers for characteristic absorption peaks, and each standard wavenumber is accompanied by an allowable deviation range and an intensity reference value. When the wavenumber of the characteristic absorption peak of the gas sample falls within the allowable deviation range of the standard wavenumber, and the relative error between the intensity of the characteristic absorption peak of the gas sample and the intensity reference value of the standard wavenumber does not exceed a preset error threshold, it is determined to be a valid matching peak.
[0058] Specifically, the permissible deviation range associated with the standard wavenumber refers to the allowable fluctuation range of the characteristic absorption peak wavenumber for each gas in the standard infrared spectral library. This range takes into account potential instrument errors and environmental factors in actual measurements. The intensity reference value refers to the standard intensity of the characteristic absorption peak for each gas in the standard infrared spectral library, used as a reference for qualitative analysis of gas components. The relative error refers to the degree of difference between the intensity of the characteristic absorption peak of a gas sample and the standard intensity reference value, usually expressed as a percentage. The preset error threshold is a pre-defined error range used to determine whether the intensity of the characteristic absorption peak of a gas sample is sufficiently close to the standard intensity reference value, thus deciding whether to classify it as a valid matching peak.
[0059] Execution steps: To ensure the accuracy and reliability of the detection, each gas contains at least three standard wavenumbers for its characteristic absorption peaks in the standard infrared spectral library. Each standard wavenumber is accompanied by an allowable deviation range and intensity reference value. For example, for a specific gas component, its standard wavenumbers are 1500 cm⁻¹, 1500 cm⁻¹, and 1500 cm⁻¹, respectively. -1 2000cm -1 and 2500cm -1 The permissible deviation range for each wavenumber is ±2cm. -1 The intensity reference values are 0.5, 0.7, and 0.9 (normalized intensity values). When detecting a gas sample, the wavenumber and intensity of its characteristic absorption peak are measured, and these measurements are compared with data in a standard infrared spectral library. Specifically, it is checked whether the wavenumber of the gas sample's characteristic absorption peak falls within the allowable deviation range of the standard wavenumber. For example, if the wavenumber of a characteristic absorption peak of a gas sample is 1501 cm⁻¹... -1 The standard wavenumber is 1500 cm⁻¹. -1 The allowable deviation range is ±2cm-1 If the wavenumber is matched successfully, the relative error between the intensity of the characteristic absorption peak of the gas sample and the standard intensity reference value is obtained. For example, if the intensity of the characteristic absorption peak of the gas sample is 0.52 and the standard intensity reference value is 0.5, then the relative error is (0.52-0.5) / 0.5=0.04, or 4%. If the relative error does not exceed the preset error threshold (e.g., 5%), then the characteristic absorption peak is determined to be a valid matching peak. In short, the relative error is 4%, which is less than the preset error threshold of 5%, so the characteristic absorption peak is determined to be a valid matching peak.
[0060] In the above steps, this rigorous matching process ensures that the characteristic absorption peaks of the gas sample are highly consistent with the data in the standard infrared spectral library, accurately identifying specific components in the gas sample. Even in complex mixed gas environments, it can effectively distinguish different gas components, improve the accuracy of gas component detection, provide a reliable basis for quantitative analysis, and thus provide strong technical support for the safe operation and performance optimization of gas release devices.
[0061] Furthermore, the method of this application further includes adjusting the sampling flow rate at each sampling position corresponding to the sampling channel according to the flow controller:
[0062] For the components of the mixed gas, the relative content ratio is determined by comparing the proportion of characteristic absorption peak intensity with the proportion of theoretical characteristic absorption peak intensity of the mixed components in the standard infrared spectral library. According to the gas flow rate requirements, the sampling flow rate of each sampling position is dynamically allocated according to the flow controller, so that the product of the sampling flow rate and the corresponding gas concentration at each sampling position is kept within the linear response range of the gas chromatography-mass spectrometry instrument.
[0063] Specifically, the characteristic absorption peak intensity ratio refers to the proportion of the characteristic absorption peak intensity of a component in a gas mixture to its total absorption peak intensity, reflecting the relative content of that component in the gas mixture. The theoretical characteristic absorption peak intensity ratio refers to the theoretical proportion of characteristic absorption peak intensities of the mixed components in a standard infrared spectral library, calculated based on known components and concentrations. The relative content ratio refers to the actual content ratio of each component in the gas mixture, determined by comparing the characteristic absorption peak intensity ratio with the theoretical characteristic absorption peak intensity ratio. The linear response range refers to the concentration range within which a gas chromatography-mass spectrometry (GC-MS) instrument can accurately detect and provide a linear relationship; within this range, the instrument's response signal is proportional to the gas concentration.
[0064] Execution steps: By comparing the proportion of characteristic absorption peaks in a gas sample with the theoretical proportions of characteristic absorption peaks in a standard infrared spectral library, the relative content ratio of each component in the gas mixture can be accurately determined. For example, assuming the gas mixture consists of components A and B, and the theoretical proportions of characteristic absorption peaks for A and B in the standard infrared spectral library are 60% and 40%, respectively, in actual measurements, if the proportions of characteristic absorption peaks in the gas sample are 58% and 42%, respectively, then the relative content ratios of A and B in the gas mixture can be determined to be close to the theoretical values, 58% and 42%, respectively. This comparison method can effectively handle the complexity of gas mixture composition and provide accurate relative content information for subsequent quantitative analysis.
[0065] In actual testing, to ensure the accuracy and reliability of the results, it is necessary to dynamically allocate the sampling flow rate at each sampling location based on the gas flow rate requirements using a flow controller. Specifically, the product of the sampling flow rate and the corresponding gas concentration at each sampling location must remain within the linear response range of the gas chromatography-mass spectrometry (GC-MS) instrument. For example, if the linear response range of the GC-MS is 0.1 ppm to 10 ppm, and the gas concentration at a certain sampling location is 5 ppm, to ensure the accuracy of the results, the flow controller needs to dynamically adjust the sampling flow rate so that the product of the sampling flow rate and the gas concentration (i.e., sampling flow rate × 5 ppm) falls within the range of 0.1 ppm to 10 ppm. This ensures the instrument operates at its optimal state, improving the accuracy and reliability of the results. Through dynamic flow allocation, the gas samples collected at different sampling locations can be detected within the linear response range of the GC-MS, thus providing a strong guarantee for the accurate detection and analysis of mixed gas components.
[0066] Furthermore, the method of this application includes adjusting the sampling flow rate at each sampling position corresponding to the sampling channel according to the flow controller:
[0067] The flow controller adopts a dual-channel control mode. The main channel is responsible for the sampling flow distribution between the inlet and outlet, while the secondary channel is used to compensate for pipeline losses. At the same time, the main channel dynamically adjusts the flow ratio between the inlet and outlet according to the gas concentration fluctuation at the sampling position in the middle section.
[0068] Specifically, dual-channel control mode refers to a flow controller having two independent control channels, each capable of independently adjusting the sampled flow rate. This mode is typically used for more complex flow distribution and compensation. The main channel is the primary channel of the flow controller, responsible for the main sampled flow distribution, and is typically used for flow control at the inlet and outlet. The secondary channel is an auxiliary channel used to compensate for flow deviations caused by factors such as pipe losses. Pipe losses refer to flow losses during sampling due to pipe friction, leakage, or other factors. Gas concentration fluctuations refer to the changes in gas concentration over time and location during sampling; these fluctuations may affect the distribution of the sampled flow rate.
[0069] Execution steps: The main channel is responsible for distributing the sampling flow rate between the inlet and outlet. The inlet and outlet are critical locations in the gas release device, and precise control of their sampling flow rate is crucial for the accuracy of the detection results. For example, the gas composition at the inlet differs significantly from that at the outlet. Therefore, it is necessary to dynamically adjust the sampling flow rate at the inlet and outlet according to actual needs. The main channel dynamically adjusts the flow rate ratio between the inlet and outlet by monitoring the gas concentration and flow rate requirements in real time, ensuring that the product of the sampling flow rate and gas concentration at each location remains within the linear response range of the gas chromatography-mass spectrometry (GC-MS) instrument.
[0070] The secondary channel is used to compensate for pipeline losses. Specifically, during the sampling process, flow loss may occur due to pipeline friction, leakage, or other factors. The secondary channel automatically adjusts the flow rate to compensate for these losses by monitoring changes in flow rate in the pipeline in real time. For example, if a decrease in flow rate is detected in the pipeline, the secondary channel can increase the flow rate to ensure the stability and accuracy of the sampled flow rate.
[0071] Based on the gas concentration fluctuations at the intermediate sampling location, the main channel dynamically adjusts the flow ratio between the inlet and outlet. The intermediate section is the area where the gas undergoes chemical reactions or physical changes within the device, and changes in its gas concentration can reflect the operating status of the device. By monitoring the gas concentration fluctuations in the intermediate section, the main channel can adjust the flow ratio between the inlet and outlet in real time to ensure a reasonable allocation of sampling flow. If the gas concentration in the intermediate section suddenly increases, the main channel can appropriately increase the sampling flow at the inlet to obtain more gas samples, while reducing the sampling flow at the outlet to avoid data redundancy.
[0072] Dual-channel control mode has significant advantages in practical applications. Typically, gas release devices may produce mixed gases with multiple components, the concentration and flow rate of which vary with time and location. Through dual-channel control mode, the flow controller can accurately allocate the sampling flow rate, compensate for pipeline losses, and dynamically adjust the flow rate ratio according to gas concentration fluctuations, thereby improving the accuracy and reliability of sampling and providing strong support for the accurate detection of gas components, thus ensuring the safe operation and performance optimization of the gas release device.
[0073] Furthermore, the method of this application also includes:
[0074] For a single gas component, if at least two of the three characteristic absorption peaks achieve a valid match, a secondary verification is triggered: the retention time window of the gas chromatography-mass spectrometry system is cross-validated with the abundance ratio of the characteristic ions in the mass spectrometry.
[0075] Specifically, effective matching means that the wavenumber and intensity of the characteristic absorption peaks of a gas sample are highly consistent with the data in the standard infrared spectral library within the allowable deviation range, meeting the preset matching degree standard. Secondary verification refers to additional verification steps performed after successful initial matching to further confirm the accuracy of the gas composition. Retention time window refers to the time range required for a specific component to pass through the chromatographic column in gas chromatography, used to distinguish different components. Mass spectrometry characteristic ion abundance ratio refers to the relative intensity ratio of a specific ion in a mass spectrum, used for qualitative analysis of gas components. Cross-validation refers to verifying the same component using multiple detection methods to improve the reliability of the detection results.
[0076] Execution steps: For a single gas component, preliminary detection involves matching characteristic absorption peaks in the infrared spectrum. If at least two of the three characteristic absorption peaks show a valid match, the preliminary detection result has high reliability. However, to further ensure the accuracy of the detection result, secondary verification needs to be triggered. Gas chromatography separates and identifies different components based on retention time. Each gas component has a unique retention time under specific chromatographic conditions. By utilizing the retention time window of a gas chromatography-mass spectrometry (GC-MS) instrument, it can be determined whether the retention time of a specific component in the gas sample is consistent with the standard value. For example, if the standard retention time for a certain gas is 10 minutes, and the detected retention time is between 9.8 minutes and 10.2 minutes (assuming this is the retention time window), then the retention time can be considered to match.
[0077] Mass spectrometry identifies gaseous components by detecting the mass-to-charge ratio (m / z) of ions. Each gaseous component has specific characteristic ions and their abundance ratios in the mass spectrum. By calling the abundance ratios of these characteristic ions, the accuracy of the gaseous component can be further verified. For example, if a standard mass spectrum of a gas contains two characteristic ions with an abundance ratio of 3:1, and the detected abundance ratio is 2.9:1, then the abundance ratios of the characteristic ions in the mass spectrometry can be considered a match. Cross-validation is performed between the retention time window and the detection results of the characteristic ion abundance ratios in the mass spectrometry. Only when both detection results match can the accuracy of the gaseous component be finally confirmed. If the retention time matches but the abundance ratios of the characteristic ions in the mass spectrometry do not match, or vice versa, the detection results need to be re-evaluated, and further detection or adjustment of detection parameters is required.
[0078] Secondary validation can significantly improve the accuracy and reliability of gas component detection. In practical applications, preliminary detection may be affected by various factors, such as instrument drift and sample contamination. By cross-validating the retention time window and the abundance ratio of mass spectrometry characteristic ions, the possibility of misjudgment can be effectively reduced. Secondary validation can ensure the accuracy of detection results, thereby providing strong support for safety monitoring and quality control in the production process. It not only improves the accuracy of detection but also reduces the potential risks caused by misjudgment, ensuring the safe operation and performance optimization of gas release devices.
[0079] In summary, the beneficial effects of the embodiments of this application are:
[0080] This application provides a highly efficient method and system for component detection in gas release devices. The gas sample is collected via a sampling channel connected to the gas release device and introduced into a gas chromatography-mass spectrometry (GC-MS) instrument. The column temperature gradient and mass spectrometry scanning parameters are configured. The sampling flow rate at each sampling location is adjusted using a flow controller, and the sampling time, location, and environmental pressure parameters are recorded simultaneously. A sampling correlation control matrix is set based on the column temperature gradient and mass spectrometry scanning parameters. The gas components and their concentrations are determined using the corresponding quantitative and qualitative units of the GC-MS instrument. The gas components and their concentrations are mapped and correlated with the corresponding sampling correlation control matrix to generate a gas component distribution map. A component detection report is then generated by combining the gas release device's performance indicators, safety concentration thresholds, and component ratio thresholds. This technology achieves the following effects: it enables precise capture of gas composition differences in key parts of the device by dynamically adjusting the flow rate at different sampling positions and dynamically switching the sampling positions using a stepper motor; it also reduces cross-contamination through nitrogen purging and closed-loop control; it visually presents the spatiotemporal distribution characteristics of gas components by constructing a sampling correlation control matrix and combining it with a gas composition distribution map; and it ensures linear detection response through dynamic flow rate allocation, thereby improving quantitative accuracy and ensuring the safety and stability of the gas release device operation.
[0081] Example 2, based on the same inventive concept as the efficient component detection method for gas release devices in the foregoing examples, such as... Figure 2 As shown in the embodiment of this application, a high-efficiency component detection system for a gas release device is provided, wherein the system includes:
[0082] Configuration module M100: Based on the sampling channel connected to the gas release device, it collects gas samples and imports them into the gas chromatography-mass spectrometry instrument, and configures the column temperature gradient and mass spectrometry scanning parameters.
[0083] Matrix setting module M200: Adjusts the sampling flow rate of each sampling position corresponding to the sampling channel according to the flow controller, synchronously records the sampling time, position and environmental pressure parameters, and sets the sampling association control matrix in combination with the column temperature gradient and mass spectrometry scanning parameters.
[0084] Concentration determination module M300: Determines the gas composition and concentration of each component using the corresponding quantitative and qualitative unit quantity of the gas chromatography-mass spectrometry instrument.
[0085] Mapping and Association Module M400: Maps and associates the gas components and their concentrations with the corresponding sampling and association control matrix to generate a gas component distribution map. Combines the performance indicators of the gas release device with the safety concentration threshold and component ratio threshold to generate a component detection report.
[0086] Furthermore, the matrix setting module M200 is also used to perform the following method:
[0087] Each sampling position corresponding to the sampling channel corresponds to at least the air inlet, intermediate section, and air outlet of the gas release device; a stepper motor is used to drive the sampling probe, and the sampling position is switched between each sampling position according to a dynamic time interval.
[0088] Furthermore, the matrix setting module M200 is also used to perform the following method:
[0089] The dynamic time interval is adaptively adjusted based on the gas concentration gradient between the current sampling position and the adjacent sampling positions: when the gas concentration gradient exceeds the relative concentration change amplitude threshold, the sampling interval is shortened to M times the basic time interval; when the gas concentration gradient is lower than the relative concentration change amplitude threshold, the sampling interval is shortened to N times the basic time interval, where M < 1 and N > 1; a nitrogen purging mechanism is activated during the switching of each sampling position, and the stepper motor adopts closed-loop servo control.
[0090] Furthermore, the concentration determination module M300 is used to perform the following method:
[0091] Upload the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample; after aligning the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample with the reference axis, perform data fusion on the retention time, characteristic ion abundance ratio and absorption peak area of the infrared spectrum corresponding to the gas chromatography-mass spectrometry instrument, and configure the quantitative and qualitative unit quantity for coupled analysis.
[0092] Furthermore, the concentration determination module M300 is also used to perform the following method:
[0093] Using a standard infrared spectral library of common gas components as a benchmark, the actual wavenumber deviation value is determined by comparing the intensity and wavenumber of the characteristic absorption peaks of the gas sample. After aligning the reference axis based on the actual wavenumber deviation value, the absorption peak matching degree is determined. If the absorption peak matching degree meets the matching degree standard, the reference axis alignment operation is considered valid.
[0094] Furthermore, the concentration determination module M300 is also used to perform the following method:
[0095] Each gas in the standard infrared spectral library contains at least three standard wavenumbers for characteristic absorption peaks, and each standard wavenumber is accompanied by an allowable deviation range and an intensity reference value. When the wavenumber of the characteristic absorption peak of the gas sample falls within the allowable deviation range of the standard wavenumber, and the relative error between the intensity of the characteristic absorption peak of the gas sample and the intensity reference value of the standard wavenumber does not exceed a preset error threshold, it is determined to be a valid matching peak.
[0096] Furthermore, the matrix setting module M200 is also used to perform the following method:
[0097] For the components of the mixed gas, the relative content ratio is determined by comparing the proportion of characteristic absorption peak intensity with the proportion of theoretical characteristic absorption peak intensity of the mixed components in the standard infrared spectral library. According to the gas flow rate requirements, the sampling flow rate of each sampling position is dynamically allocated according to the flow controller, so that the product of the sampling flow rate and the corresponding gas concentration at each sampling position is kept within the linear response range of the gas chromatography-mass spectrometry instrument.
[0098] Furthermore, the matrix setting module M200 is also used to perform the following method:
[0099] The flow controller adopts a dual-channel control mode. The main channel is responsible for the sampling flow distribution between the inlet and outlet, while the secondary channel is used to compensate for pipeline losses. At the same time, the main channel dynamically adjusts the flow ratio between the inlet and outlet according to the gas concentration fluctuation at the sampling position in the middle section.
[0100] Furthermore, the matrix setting module M200 is also used to perform the following method:
[0101] For a single gas component, if at least two of the three characteristic absorption peaks achieve a valid match, a secondary verification is triggered: the retention time window of the gas chromatography-mass spectrometry system is cross-validated with the abundance ratio of the characteristic ions in the mass spectrometry.
[0102] In summary, any step can be stored as a computer instruction or program in an unrestricted computer memory and can be called and recognized by an unrestricted computer processor; no further restrictions are imposed here.
[0103] Furthermore, the above technical solutions only embody the preferred technical solutions of the embodiments of this application. Any changes that those skilled in the art may make to certain parts of these solutions embody the novel principles of the embodiments of this application. Obviously, those skilled in the art can make various modifications and variations to this application without departing from the scope of this application.
Claims
1. A method for efficient component detection in a gas release device, characterized in that, The method includes: According to the sampling channel connected to the gas release device, the gas sample is collected and introduced into the gas chromatography-mass spectrometry instrument, and the column temperature gradient and mass spectrometry scanning parameters are configured. The sampling flow rate at each sampling position corresponding to the sampling channel is adjusted according to the flow controller, and the sampling time, position and environmental pressure parameters are recorded synchronously. The sampling correlation control matrix is set in combination with the column temperature gradient and mass spectrometry scanning parameters. The gas composition and concentration of each component are determined by the quantitative and qualitative unit quantity corresponding to the gas chromatography-mass spectrometry instrument. The gas components and their concentrations are mapped and associated with the corresponding sampling association control matrix to generate a gas component distribution map. Combined with the performance indicators of the gas release device, the safety concentration threshold, and the component ratio threshold, a component detection report is generated. This includes: Each sampling position corresponding to the sampling channel corresponds to at least the inlet, middle section and outlet of the gas release device; A stepper motor is used to drive the sampling probe, and the sampling position is switched at dynamic time intervals. The switching operation between sampling positions according to dynamic time intervals includes: The dynamic time interval is adaptively adjusted based on the gas concentration gradient between the current sampling location and the adjacent sampling locations: when the gas concentration gradient exceeds the relative concentration change amplitude threshold, the sampling interval is shortened to M times the basic time interval; when the gas concentration gradient is lower than the relative concentration change amplitude threshold, the sampling interval is shortened to N times the basic time interval, where M < 1 and N > 1. During the switching of each sampling position, a nitrogen purging mechanism is activated, and the stepper motor adopts closed-loop servo control. The determination of gas composition and concentration of each component using the corresponding quantitative and qualitative unit quantity of the gas chromatography-mass spectrometry (GC-MS) instrument includes: Upload the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample; After aligning the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample with the reference axis, the retention time, characteristic ion abundance ratio and absorption peak area of the infrared spectrum corresponding to the gas chromatography-mass spectrometry instrument are fused to configure the quantitative and qualitative unit quantity of the coupled instrument. Aligning the gas sample with the characteristic absorption peak intensity and wavenumber as a reference axis includes: Using a standard infrared spectral library of common gas components as a benchmark, the actual wavenumber deviation value is determined by comparing the characteristic absorption peak intensity and wavenumber of the gas sample. After aligning the reference axis based on the actual wavenumber deviation value, the absorption peak matching degree is determined. If the absorption peak matching degree meets the matching degree standard, the reference axis alignment operation is considered valid.
2. The method for efficient component detection in a gas release device as described in claim 1, characterized in that, The method includes: Each gas in the standard infrared spectral library contains at least three standard wavenumbers for characteristic absorption peaks, and each standard wavenumber is accompanied by an allowable deviation range and intensity reference value. When the wavenumber of the characteristic absorption peak of the gas sample falls within the allowable deviation range of the standard wavenumber, and the relative error between the intensity of the characteristic absorption peak of the gas sample and the intensity reference value of the standard wavenumber does not exceed a preset error threshold, it is determined to be a valid matching peak.
3. The method for efficient component detection in a gas release device as described in claim 2, characterized in that, The method further includes adjusting the sampling flow rate at each sampling position corresponding to the sampling channel according to the flow controller: For the components of the mixed gas, the relative content ratio is determined by comparing the proportion of characteristic absorption peak intensity with the proportion of theoretical characteristic absorption peak intensity of the mixed components in the standard infrared spectral library. Based on the gas flow rate requirement, the sampling flow rate at each sampling location is dynamically allocated according to the flow controller, so that the product of the sampling flow rate and the corresponding gas concentration at each sampling location remains within the linear response range of the gas chromatography-mass spectrometry instrument.
4. The method for efficient component detection in a gas release device as described in claim 3, characterized in that, The method includes adjusting the sampling flow rate at each sampling position corresponding to the sampling channel according to the flow controller: The flow controller adopts a dual-channel control mode, in which the main channel is responsible for the sampling flow distribution between the air inlet and the air outlet, and the secondary channel is used to compensate for pipeline losses. Meanwhile, based on the gas concentration fluctuations at the sampling location in the middle section, the main channel dynamically adjusts the flow ratio between the inlet and outlet.
5. The efficient component detection method for a gas release device as described in claim 4, characterized in that, The method further includes: For a single gas component, if at least two of the three characteristic absorption peaks achieve a valid match, a secondary verification is triggered: the retention time window of the gas chromatography-mass spectrometry system is cross-validated with the abundance ratio of the characteristic ions in the mass spectrometry.
6. A high-efficiency component detection system for gas release devices, characterized in that, The system for implementing the efficient component detection method for a gas release device according to any one of claims 1-5, wherein the system comprises: Configuration module: Based on the sampling channel connected to the gas release device, the gas sample is collected and introduced into the gas chromatography-mass spectrometry instrument, and the column temperature gradient and mass spectrometry scanning parameters are configured; Matrix setting module: Adjusts the sampling flow rate of each sampling position corresponding to the sampling channel according to the flow controller, synchronously records the sampling time, position and environmental pressure parameters, and sets the sampling association control matrix in combination with the column temperature gradient and mass spectrometry scanning parameters; Concentration determination module: Determines the gas composition and concentration of each component using the corresponding quantitative and qualitative unit quantity of the gas chromatography-mass spectrometry instrument; Mapping and Association Module: Maps and associates the gas components and their concentrations with the corresponding sampling association control matrix to generate a gas component distribution map. Combines the performance indicators of the gas release device with the safety concentration threshold and component ratio threshold to generate a component detection report. This includes: Each sampling position corresponding to the sampling channel corresponds to at least the inlet, middle section and outlet of the gas release device; A stepper motor is used to drive the sampling probe, and the sampling position is switched at dynamic time intervals. The switching operation between sampling positions according to dynamic time intervals includes: The dynamic time interval is adaptively adjusted based on the gas concentration gradient between the current sampling location and the adjacent sampling locations: when the gas concentration gradient exceeds the relative concentration change amplitude threshold, the sampling interval is shortened to M times the basic time interval; when the gas concentration gradient is lower than the relative concentration change amplitude threshold, the sampling interval is shortened to N times the basic time interval, where M < 1 and N > 1. During the switching of each sampling position, a nitrogen purging mechanism is activated, and the stepper motor adopts closed-loop servo control. The determination of gas composition and concentration of each component using the corresponding quantitative and qualitative unit quantity of the gas chromatography-mass spectrometry (GC-MS) instrument includes: Upload the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample; After aligning the characteristic absorption peak intensity and characteristic absorption peak wavenumber of the gas sample with the reference axis, the retention time, characteristic ion abundance ratio and absorption peak area of the infrared spectrum corresponding to the gas chromatography-mass spectrometry instrument are fused to configure the quantitative and qualitative unit quantity of the coupled instrument. Aligning the gas sample with the characteristic absorption peak intensity and wavenumber as a reference axis includes: Using a standard infrared spectral library of common gas components as a benchmark, the actual wavenumber deviation value is determined by comparing the characteristic absorption peak intensity and wavenumber of the gas sample. After aligning the reference axis based on the actual wavenumber deviation value, the absorption peak matching degree is determined. If the absorption peak matching degree meets the matching degree standard, the reference axis alignment operation is considered valid.
Citation Information
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Method For Detailed And Bulk Classification Analysis Of Complex Samples Using Vacuum Ultra-Violet Spectroscopy And Gas Chromatography
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