Gas relay gas extraction method and system based on gas flow analysis

Abstract

The invention provides a gas relay gas extraction method and system based on gas flow analysis, and relates to the technical field of relays, and the method comprises the steps: carrying out the real-time gas flow fluctuation monitoring of a gas collection chamber of a gas relay, and constructing a dynamic flow field distribution diagram; identifying a gas gathering core area; extracting a plurality of space coordinates, and controlling the multi-stage gas entraining pipeline to perform directional suction to obtain a gas suction result; and performing three-phase separation to generate purified gas parameters, importing the purified gas parameters into a chromatographic analysis module for purity detection, and updating a plurality of space coordinates according to a detection result to realize intelligent gas extraction optimization of the gas relay. The technical problem that gas extraction efficiency and purity are affected due to inaccurate gas extraction caused by complexity of gas flow and a fixed suction mode in the prior art is solved, and the gas extraction efficiency and purity are improved by accurately identifying a gas gathering core area, performing directional suction and performing three-phase separation on a suction result. And the gas extraction efficiency and purity are improved.

Description

Technical Field

[0001] This application relates to the technical field of relays, and particularly to a gas extraction method and system for a gas relay based on gas flow analysis. Background Art

[0002] The gas extraction method for a gas relay usually relies on a fixed suction point or a preset pipeline method, and cannot cope with the changes in the gas flow state inside the gas collection chamber. In areas with gas flow turbulence, aggregation, or other unstable regions, it is difficult for a fixed suction point to effectively capture gas changes, resulting in inaccurate gas extraction. In addition, due to the unpredictability of gas flow, the design of a fixed suction point cannot achieve real-time adjustment to adapt to new flow conditions. Especially when the gas flow changes, the suction point cannot be adjusted in real time, resulting in the inability to extract gas from high-concentration regions in a timely manner, thus affecting the gas extraction efficiency and purity.

[0003] In summary, in the prior art, due to the complexity of gas flow, the fixed suction method is difficult to adapt to changes in the gas flow state, resulting in inaccurate gas extraction, thereby affecting the gas extraction efficiency and purity. Summary of the Invention

[0004] The purpose of this application is to provide a gas extraction method and system for a gas relay based on gas flow analysis, so as to solve the technical problem in the prior art that due to the complexity of gas flow, the fixed suction method is difficult to adapt to changes in the gas flow state, resulting in inaccurate gas extraction, thereby affecting the gas extraction efficiency and purity.

[0005] In view of the above problems, this application provides a gas extraction method and system for a gas relay based on gas flow analysis.

[0006] In the first aspect, this application provides a gas extraction method for a gas relay based on gas flow analysis. The gas extraction method for a gas relay based on gas flow analysis is implemented through a gas extraction system for a gas relay based on gas flow analysis. Among them, the gas extraction method for a gas relay based on gas flow analysis includes: performing real-time airflow fluctuation monitoring on the gas collection chamber of the gas relay to construct a dynamic flow field distribution map; calculating the turbulence intensity based on the dynamic flow field distribution map to identify the core area of gas aggregation; extracting multiple spatial coordinates according to the core area of gas aggregation, and controlling a multi-stage gas pipeline for directional suction according to the multiple spatial coordinates to obtain a gas suction result; performing three-phase separation according to the gas suction result to generate purified gas parameters, importing the purified gas parameters into a chromatographic analysis module for purity detection, and updating the multiple spatial coordinates according to the detection result to realize the intelligent extraction optimization of the gas of the gas relay.

[0007] Optionally, a pressure sensor array is arranged in the gas collecting chamber of the gas relay, and pressure acquisition is performed through the pressure sensor array to obtain a pressure sensing data set of the gas collecting chamber; axial analysis is performed on the gas collecting chamber based on the pressure sensing data set to obtain an axial pressure gradient parameter; radial analysis is performed on the gas collecting chamber based on the pressure sensing data set to obtain a radial pressure gradient parameter; gas flow velocity conversion is performed according to the axial pressure gradient parameter and the radial pressure gradient parameter to construct a flow velocity vector matrix; vorticity calculation is performed on the flow velocity vector matrix to determine a flow velocity curl distribution parameter, and the dynamic flow field distribution map is constructed according to the flow velocity curl distribution parameter.

[0008] Optionally, calculation is performed based on the flow velocity vector matrix in combination with a curl operator to obtain a flow velocity curl distribution parameter, and the flow velocity curl distribution parameter includes a vorticity intensity parameter, a vortex core position parameter, and a vortex tube radius parameter; the connected region area is identified according to the vortex tube radius parameter, and the vortex core position parameter is verified based on the connected region area to generate a position parameter verification result; analysis is performed according to the position parameter verification result in combination with the vorticity intensity parameter to determine flow velocity field direction data; rendering is performed according to the position parameter verification result in combination with the vortex tube radius parameter to obtain vortex tube structure data; the dynamic flow field distribution map is constructed according to the vortex core position parameter, the flow velocity field direction data, and the vortex tube structure data.

[0009] Optionally, the vorticity field data and the flow velocity field data are extracted by traversing the dynamic flow field distribution map; local turbulence calculation is performed based on the vorticity field data and the flow velocity field data to determine a local turbulence intensity data set; flow velocity determination identification is performed according to the local turbulence intensity data set, and a high turbulence area is obtained according to the identification result; vorticity solution is performed based on the high turbulence area to determine a vorticity gradient parameter, coordinate point positioning is performed according to the vorticity gradient parameter to generate a candidate vortex core center; determination of gas aggregation is performed according to the candidate vortex core center to identify and determine the gas aggregation core area.

[0010] Optionally, random selection is performed by traversing the gas aggregation core area to extract multiple spatial coordinates; the device structure information of the gas relay is retrieved, and an air guide pipeline coordinate system is constructed according to the device structure information; the multiple spatial coordinates are mapped to the air guide pipeline coordinate system to perform servo control on the air guide pipeline, and a horizontal rotation angle and a pitch angle are determined; an air extraction negative pressure parameter is set based on the turbulence intensity data of the gas aggregation core area; the multi-stage air guide pipeline is activated based on the air extraction negative pressure parameter and performs directional suction according to the horizontal rotation angle and the pitch angle to obtain the gas suction result.

[0011] Optionally, perform gas-liquid-solid three-phase separation based on the gas suction result to generate a separation result, perform purification measurement according to the separation result to generate purified gas parameters; construct a chromatographic analysis module, import the purified gas parameters into the chromatographic analysis module to perform purity detection, and determine a gas purity vector; calculate a purity deviation based on the gas purity vector to generate a purity deviation value; update the momentum of the multiple spatial coordinates in the gas aggregation core area according to the purity deviation value to determine multiple spatial correction coordinates; control the multi-stage gas guiding pipeline to perform reoriented suction according to the multiple spatial correction coordinates, and feedback the suction result to the chromatographic analysis module for closed-loop optimization to achieve intelligent extraction optimization of the gas in the gas relay.

[0012] Optionally, introduce the gas suction result into a centrifugal-ultrasonic coupling separation chamber to perform gas-liquid-solid three-phase separation: A1: Set the rotation speed parameter of the centrifugal-ultrasonic coupling separation chamber according to the gas density parameter of the gas suction result, execute the rotation speed parameter to obtain a centrifugal acceleration; A2: Apply an ultrasonic standing wave field based on the centrifugal acceleration to enhance solid phase separation and obtain a solid phase separation result; A3: Apply an ultrasonic standing wave field based on the centrifugal acceleration to control liquid phase recovery and obtain a liquid phase separation result; A4: Perform real-time gas detection and analysis based on the gas phase outlet to obtain a gas phase separation result; perform purification measurement according to the solid phase separation result, the liquid phase separation result, and the gas phase separation result to generate the purified gas parameters.

[0013] Optionally, construct an injection unit as a data input channel, the input end of the injection unit is the input end of the chromatographic analysis module, and the output end of the injection unit is communicatively connected to the input end of the separation unit; construct a separation unit based on a dual chromatographic column structure, and the output end of the separation unit is communicatively connected to the input end of the detection unit; connect two-way detectors in parallel to construct a detection unit, and the output end of the detection unit is communicatively connected to the input end of the control unit; construct a control unit to perform data backtracking to execute real-time carrier gas compensation, and the output end of the control unit is the output end of the chromatographic analysis module.

[0014] Second aspect, the present application also provides a gas extraction system for a gas relay based on gas flow analysis, which is used to execute the gas extraction method for the gas relay based on gas flow analysis as described in the first aspect. Among them, the gas extraction system for the gas relay based on gas flow analysis includes: an air flow fluctuation monitoring module, which is used to monitor the real-time air flow fluctuation in the gas collecting chamber of the gas relay and construct a dynamic flow field distribution map; a turbulence intensity calculation module, which is used to calculate the turbulence intensity based on the dynamic flow field distribution map and identify the core area of gas aggregation; a directional suction module, which is used to extract multiple spatial coordinates according to the core area of gas aggregation and control a multi-stage gas pipeline for directional suction according to the multiple spatial coordinates to obtain a gas suction result; a purity detection module, which is used to perform three-phase separation according to the gas suction result, generate purified gas parameters, import the purified gas parameters into a chromatographic analysis module for purity detection, and update the multiple spatial coordinates according to the detection result to realize the intelligent optimization of gas extraction from the gas relay.

[0015] One or more technical solutions provided in the present application have at least the following beneficial effects: By monitoring the real-time air flow fluctuation in the gas collecting chamber of the gas relay and constructing a dynamic flow field distribution map; calculating the turbulence intensity based on the dynamic flow field distribution map and identifying the core area of gas aggregation; extracting multiple spatial coordinates according to the core area of gas aggregation and controlling a multi-stage gas pipeline for directional suction according to the multiple spatial coordinates to obtain a gas suction result; performing three-phase separation according to the gas suction result, generating purified gas parameters, importing the purified gas parameters into a chromatographic analysis module for purity detection, and updating the multiple spatial coordinates according to the detection result to realize the intelligent optimization of gas extraction from the gas relay. That is to say, by real-time monitoring the gas flow fluctuation in the gas collecting chamber and generating a dynamic flow field distribution map, the core area of gas aggregation is accurately identified; the directional suction parameters of the multi-stage gas pipeline are dynamically regulated to achieve efficient three-phase separation of gas-liquid-solid; through optical purity detection, the efficiency and purity of gas extraction are improved.

[0016] The above description is only an overview of the technical solutions of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically illustrates the embodiments of the present application. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. Description of the Drawings

[0017] To more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings described below are merely exemplary, and for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on the provided drawings.

[0018] Figure 1 This is a schematic flowchart of the gas extraction method for a gas relay based on gas flow analysis in the present application.

[0019] Figure 2 This is a schematic structural diagram of the gas extraction system for a gas relay based on gas flow analysis in the present application.

[0020] Explanation of reference numerals: airflow fluctuation monitoring module 11, turbulence intensity calculation module 12, directional suction module 13, purity detection module 14. Detailed implementation manners

[0021] By providing a gas extraction method and system for a gas relay based on gas flow analysis, the present application solves the technical problem in the prior art that due to the complexity of gas flow, a fixed suction method is difficult to adapt to the changes in the gas flow state, resulting in inaccurate gas extraction, thereby affecting the gas extraction efficiency and purity. By real-time monitoring the gas flow fluctuations in the gas collection chamber and generating a dynamic flow field distribution map, the gas aggregation core area can be accurately identified; the directional suction parameters of the multi-stage gas pipelines are dynamically adjusted to achieve efficient separation of gas-liquid-solid three phases; through optical purity detection, the efficiency and purity of gas extraction are improved.

[0022] Next, the technical solutions in the present application will be clearly and completely described with reference to the drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the example embodiments described here. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application. Additionally, it should be noted that for the sake of description, only the parts related to the present application are shown in the drawings rather than all of them.

[0023] Embodiment 1, please refer to the attached Figure 1 In this application, a gas extraction method for a gas relay based on gas flow analysis is provided. Among them, the gas extraction method for a gas relay based on gas flow analysis is executed by a gas extraction system for a gas relay based on gas flow analysis. The gas extraction method for a gas relay based on gas flow analysis specifically includes the following steps: S100: Conduct real-time airflow fluctuation monitoring on the gas collection chamber of the gas relay and construct a dynamic flow field distribution map.

[0024] Further, the S100 of the present application includes: Arranging a pressure sensor array in the gas collecting chamber of the gas relay, collecting pressure through the pressure sensor array to obtain a pressure sensing data set of the gas collecting chamber; performing axial analysis on the gas collecting chamber based on the pressure sensing data set to obtain an axial pressure gradient parameter; performing radial analysis on the gas collecting chamber based on the pressure sensing data set to obtain a radial pressure gradient parameter; performing gas flow velocity conversion according to the axial pressure gradient parameter and the radial pressure gradient parameter to construct a flow velocity vector matrix; performing vorticity calculation on the flow velocity vector matrix to determine a flow velocity curl distribution parameter, and constructing the dynamic flow field distribution diagram according to the flow velocity curl distribution parameter.

[0025] Further, the present application further includes the following steps: Performing calculation based on the flow velocity vector matrix in combination with a curl operator to obtain a flow velocity curl distribution parameter, where the flow velocity curl distribution parameter includes a vorticity intensity parameter, a vortex core position parameter, and a vortex tube radius parameter; identifying the connected region area according to the vortex tube radius parameter, verifying the vortex core position parameter based on the connected region area to generate a position parameter verification result; analyzing according to the position parameter verification result in combination with the vorticity intensity parameter to determine flow velocity field direction data; performing rendering according to the position parameter verification result in combination with the vortex tube radius parameter to obtain vortex tube structure data; constructing the dynamic flow field distribution diagram according to the vortex core position parameter, the flow velocity field direction data, and the vortex tube structure data.

[0026] Specifically, a pressure sensor array is arranged at different positions in the gas collecting chamber of the gas relay for collecting gas pressure data at different positions in the gas collecting chamber of the gas relay and capturing the change of gas pressure in real time. The sensors are arranged at different positions in the gas collecting chamber, including possible paths of gas flow, such as the center, edge, and regions at different heights of the gas collecting chamber. The gas collecting chamber is a space for collecting gas samples. Integrating the pressure data in the gas collecting chamber collected by the pressure sensor array together to obtain a pressure sensing data set of the gas collecting chamber, including the pressure data at each position in the gas collecting chamber. For example, at the top (sensor position 1) and bottom (sensor position 20) of the gas collecting chamber, the pressure of the top sensor at 0 second is 1.5 kPa, at 1 second is 1.4 kPa, and at 2 seconds is 1.6 kPa; the pressure of the bottom sensor at 0 second is 2.1 kPa, at 1 second is 2.3 kPa, and at 2 seconds is 2.0 kPa.

[0027] Axial analysis refers to the analysis of the gas pressure in the plenum chamber along a specific direction (usually the main flow direction of the plenum chamber). In the three-dimensional space of the gas flow, the axial direction usually refers to the main direction of gas flow or the long axis direction of the pipeline. Axial analysis of the plenum chamber is performed based on the pressure sensing data set to obtain the axial pressure gradient parameter. In the plenum chamber, pressure data at several key positions are selected along the main direction of gas flow (i.e., the axial direction), such as the front and rear parts, the center, etc. of the plenum chamber. According to the pressure data at each position, the pressure difference between adjacent positions is calculated, and combined with the distance between the two points, the axial pressure gradient can be obtained. By analyzing the pressure changes between different positions, the pressure gradient along the axial direction in the plenum chamber is obtained.

[0028] Exemplarily, assume that there are 5 sensors in the plenum chamber, which are respectively arranged at positions of 0 m, 1 m, 2 m, 3 m, 4 m, and 5 m, and the recorded pressure values are as follows (unit: kPa): 1.2, 1.15, 1.1, 1.05, 1.0, 0.95. Calculate the axial pressure gradient between every two adjacent positions: from position 0 to position 1, the pressure difference is 1.15 - 1.2 = -0.05 kPa, the distance is 1 m, and the gradient is -0.05 kPa / m; from position 1 to position 2, the pressure difference is 1.1 - 1.15 = -0.05 kPa, and the gradient is -0.05 kPa / m; from position 2 to position 3, the pressure difference is 1.05 - 1.1 = -0.05 kPa, and the gradient is -0.05 kPa / m; from position 3 to position 4, the pressure difference is 1.0 - 1.05 = -0.05 kPa, and the gradient is -0.05 kPa / m; from position 4 to position 5, the pressure difference is 0.95 - 1.0 = -0.05 kPa, and the gradient is -0.05 kPa / m. It shows that the gas flow direction in the plenum chamber presents a uniform pressure drop trend along the axial direction, and the gradient value is -0.05 kPa / m.

[0029] Radial analysis refers to the pressure analysis from the center outwards along a plane perpendicular to the flow direction, that is, the pressure analysis from the center of the plenum chamber to the edge, used to capture the pressure changes of the gas in the radial direction (such as the transverse direction). The radial direction of the plenum chamber is usually the direction perpendicular to the main direction of the gas flow. Similarly, by calculating the pressure difference between adjacent positions and combining the radial distance between them, the radial pressure gradient can be obtained. After performing the radial pressure analysis, the obtained pressure gradient value is the radial pressure gradient parameter, characterizing the changes of the gas in the plenum chamber in the radial direction. For example, assume that at positions from r1 to r2 in the radial direction of the plenum chamber, the pressure changes from 1.1 kPa to 1.3 kPa, then the radial pressure gradient = (1.3 - 1.1) / (1.5 - 1.0) = 0.4 kPa / m.

[0030] Using the principles of gas hydrodynamics, especially hydrodynamic equations (such as Bernoulli's equation), calculate the gas flow velocity in the gas collection chamber through known axial and radial pressure gradients. Utilize the relationship between pressure difference and flow velocity (such as Bernoulli's equation) to convert the pressure gradient into flow velocity. The conversion of gas flow velocity refers to converting the known pressure gradient parameters (axial and radial) into gas flow velocity. According to the principles of hydrodynamics, there is a certain relationship between gas flow velocity and pressure difference. Using these pressure gradient data, the flow velocities of gas at different positions in the gas collection chamber can be calculated. For example, using the hydrodynamic equation, calculate the flow velocity at a certain position in the gas collection chamber, input the axial pressure gradient parameter and the radial pressure gradient parameter into Bernoulli's equation for calculation, and obtain the flow velocity of the gas at a certain position. By calculating the flow velocities at multiple points in the gas collection chamber, represent the flow velocity direction and magnitude at each position as a flow velocity vector. Multiple flow velocity vectors can be combined into a matrix, namely the flow velocity vector matrix, to describe the gas flow conditions at various positions in the gas collection chamber. For example, assume that the flow velocity at the axial position x1 and the radial position r1 is v1, then the corresponding matrix element is v1; the flow velocity at the axial position x2 and the radial position r2 is v2, then the corresponding matrix element is v2, and so on, finally forming a matrix containing the gas flow velocities at all positions.

[0031] The flow velocity vector matrix is a matrix containing the flow velocity direction and magnitude at each point in the gas collection chamber. Each element of the matrix represents a flow velocity vector at a position, containing information about the magnitude and direction of the flow velocity. The curl operator is a mathematical operator in fluid mechanics used to measure the rotational characteristics of the flow velocity in the flow field. The curl reflects the vortex behavior of the fluid, that is, whether the air flow forms rotation or eddy currents in certain regions. By applying the curl operator to the flow velocity vector matrix, the curl distribution parameters of the flow velocity are calculated. The role of the curl operator is to identify the rotational characteristics in gas flow, that is, to identify the eddies and vortices in the air flow. The intensity, position, and range of the eddies will affect the flow characteristics of the gas, especially the efficiency and accuracy of gas extraction in the gas collection chamber. The curl distribution parameters of the flow velocity include vorticity intensity parameters, vortex core position parameters, and vortex tube radius parameters. Among them, the vorticity intensity parameter represents the intensity of the fluid vortex, that is, the speed or degree of fluid rotation; the vortex core position parameter is the core position of the eddy current, usually the point where the fluid rotates strongest; the vortex tube radius parameter represents the size or range of the eddy current, usually the boundary of the vortex flow. The larger the radius of the vortex tube, the wider the range of the eddy current.

[0032] In other words, by applying the curl operator to the velocity vector matrix, the velocity curl distribution parameter is calculated. The curl operator essentially calculates the degree of rotation of the fluid at each position and describes the vortex characteristics in the flow field. The calculation of the curl generates a curl vector for each position. The magnitude of this vector represents the intensity of the vortex, and the direction represents the direction of rotation of the vortex. The vorticity intensity parameter is a key indicator in the velocity curl distribution parameter, indicating the intensity of the gas vortex. The vorticity intensity can be obtained by calculating the magnitude of the velocity curl. For example, in a certain area, the magnitude of the curl is 2 rad / s, indicating that the air flow in this area rotates strongly. The vortex core position refers to the core position of the vortex, usually the area with the maximum velocity curl. The position of the vortex core is determined by identifying the local maximum of the curl in the entire velocity vector matrix. For example, if the velocity curl reaches its maximum value at a certain position (x0, y0, z0), then this position is the vortex core position. The vortex tube radius defines the effective range of the eddy current, that is, the extended area of the vortex in the fluid. Based on the vorticity intensity and the vortex core position, combined with the local changes in velocity, the radius range of the eddy current is deduced. For example, near the vortex core, the curl intensity may reach 3 rad / s, while in the area far from the vortex core, the curl intensity decreases to 0.5 rad / s. Then the radius of the vortex tube can be estimated from these data.

[0033] Based on the eddy current radius parameter, the connected regions around the vortex are identified, that is, those fluid regions that are affected by the vortex and continuous with the vortex core region. For example, if the vortex tube radius is 0.3 m, then the connected region of the vortex is all the gas flow regions within a radius of 0.3 meters around the vortex core. Through the area of the connected region, the vortex core position parameter is verified to generate the position parameter verification result. By comparing data such as the velocity distribution and curl intensity within the vortex tube, it is verified whether the vortex core position is accurate. For example, if the expected vortex core position is at (0, 0, 1), and the test results show that the curl reaches its maximum value at the position (0, 0, 1), the verification result is passed, indicating that the vortex core position parameter is valid. The verification process confirms the accuracy of the vortex core position by comparing information such as the vortex structure and velocity distribution in the air flow. The position parameter verification result refers to the evaluation of whether the vortex core position meets the expectation through the confirmation and verification of the vortex core position.

[0034] Based on the verification results of the position parameters, analyze in combination with the vorticity intensity parameters, and analyze the gas flow direction based on the local changes in the velocity field. In the vortex region, the gas flow usually flows along the rotation direction, forming a circular or spiral flow structure. According to the verification results of the vorticity intensity parameters and the vortex core position parameters, the velocity field direction of the air flow in the entire gas collection chamber is plotted. For example, near the vortex core, the velocity direction of the gas is consistent with the direction of the vorticity, while outside the vortex, the velocity direction may be relatively stable. The velocity field direction data is spatial distribution data describing the gas flow direction in the gas collection chamber and is used to determine the optimal direction for gas extraction. The analysis of the velocity field direction data helps to optimize gas suction, avoid setting the suction point in the area with weak flow velocity, and thus improve the gas extraction efficiency.

[0035] Based on the verification results of the position parameters, perform rendering in combination with the vortex tube radius parameters to determine the expansion range of the vortex. The vortex tube radius parameter describes the distance from the vortex core to the boundary of the external flow field and can help confirm the physical boundary of the vortex region. During the numerical simulation of the air flow, the rendering of the vortex tube structure usually involves combining information on the velocity field, vorticity field, and vortex region. Through rendering techniques, the geometric shape and flow characteristics of the vortex are visualized. The rendering process involves three-dimensional modeling of the vortex region, making the shape, size, and flow characteristics of the vortex more intuitive, determining the dynamic changes of the air flow in the vortex region, and further understanding the distribution and behavior of the air flow. The rendered vortex tube structure is not just a visual model but can also be converted into digital vortex tube structure data, including the spatial distribution of the vortex, velocity distribution, vorticity intensity, and other parameters related to the air flow dynamics. The vortex tube structure data is a set of data describing the geometric characteristics, flow patterns, and dynamic behaviors of the vortex region, including information such as the size, shape, intensity, and flow direction of the vortex, usually obtained through simulation and calculation and used for analyzing and optimizing the air flow distribution.

[0036] Construct a dynamic flow field distribution map based on the vortex core position parameters, flow velocity field direction data, and vortex tube structure data, that is, the core position of the vortex in the air flow, the spatial distribution of the gas flow direction, and the geometric shape of the vortex tube. Through numerical calculation and visualization methods, transform the characteristics of gas flow into graphical display. According to the vortex core position parameters, calibrate the core area of the vortex, which is usually the area with the maximum flow velocity. Combine the flow velocity field direction data and mark the main direction of gas flow on the flow field map to form the directional distribution of the flow field. According to the vortex tube structure data, depict the shape and rotation characteristics of the vortex to form the three-dimensional structure of the vortex, and usually display the rotation characteristics of the air flow through streamlines or isosurfaces. For example, assume that in the air flow analysis of a gas collecting chamber, the following data are obtained: vortex core position parameters: the vortex core position is (0, 0, 1); flow velocity field direction data: in the vortex core area, the flow velocity direction mainly follows the rotation direction of the vortex, and the flow velocity direction in the outer area tends to be stable; vortex tube structure data: the radius of the vortex is 0.3 meters, and the vortex intensity is 3 rad / s. Through these data, generate a dynamic flow field distribution map, showing that the vortex area is a circular area with a radius of 0.3 meters, and the air flow flows along the rotation direction in this area. Outside the vortex, the direction of the air flow tends to be horizontal and the flow velocity gradually decreases. The vortex core position (0, 0, 1) is the point with the maximum flow velocity, and the flow velocity direction map clearly shows the change of the air flow.

[0037] By accurately calculating the eddy current intensity, vortex core position, and vortex tube radius, comprehensively understand the air flow structure of the gas collecting chamber, obtain the distribution parameters of gas flow velocity, vorticity, and vortex tube structure, and construct a dynamic flow field distribution map of the gas collecting chamber of the gas relay, improving the efficiency and purity of gas extraction.

[0038] S200: Calculate the turbulence intensity based on the dynamic flow field distribution map and identify the gas aggregation core area.

[0039] Furthermore, S200 of this application includes: Traverse the dynamic flow field distribution map to extract vorticity field data and flow velocity field data; perform local turbulence calculation based on the vorticity field data and the flow velocity field data to determine the local turbulence intensity data set; perform flow velocity determination and identification according to the local turbulence intensity data set, and obtain the high-turbulence area according to the identification result; perform vorticity solution based on the high-turbulence area to determine the vorticity gradient parameter, locate the coordinate points according to the vorticity gradient parameter to generate candidate vortex core centers; perform the determination of gas aggregation according to the candidate vortex core centers to identify and determine the gas aggregation core area.

[0040] Specifically, traverse the dynamic flow field distribution map and extract the vorticity field data and velocity field data for each region. The vorticity field data is a dataset that describes the rotational or vortex characteristics in the fluid. Vorticity is a measure of the rotational motion in the fluid and is commonly used to identify vortex regions or rotational behavior in the fluid. The velocity field data describes the velocity distribution of the fluid at different spatial points, usually represented in vector form, including the magnitude and direction of the velocity. For example, through the dynamic flow field distribution map, the velocity at a certain position is 2 m / s and the vorticity is 0.5 rad / s.

[0041] Based on the vorticity field data and velocity field data, perform local turbulence calculations. Turbulence calculations involve analyzing the fluctuations in velocity to determine which regions exhibit turbulence. Turbulence intensity is usually represented by the fluctuations in velocity. For example, regions with a larger standard deviation of velocity may have turbulence. Turbulence is a complex flow state with a high degree of irregularity. Local turbulence refers to the turbulence phenomenon caused by velocity gradients or other factors within a small range in the fluid. The turbulence intensity dataset is a collection of data that describes the turbulence intensity in the fluid. Turbulence intensity is usually quantified by the magnitude of velocity fluctuations, reflecting the intensity of turbulence in the fluid. The higher the turbulence intensity, the greater the disturbance of the fluid and the more unstable the flow state.

[0042] By analyzing the local turbulence intensity dataset, high-turbulence regions can be identified. Use the local turbulence intensity dataset to analyze the turbulence intensity in different regions of the gas collection chamber. The turbulence intensity value of each data point represents the degree of instability of the flow at that point. Determine a preset threshold based on experimental data or previous experience to judge which regions have a turbulence intensity exceeding the preset threshold. For example, assume the preset threshold is 1.0. If the turbulence intensity in a certain region is 1.5 or higher, then that region will be marked as a high-turbulence region. Conversely, regions with a turbulence intensity below the threshold are considered low-turbulence regions. High-turbulence regions are areas in the gas flow with a higher turbulence intensity and significant velocity fluctuations, often showing stronger irregular flow characteristics, which may affect the accuracy and efficiency of gas extraction.

[0043] Solve for the vorticity in the high-turbulence regions to determine the vorticity gradient parameters in the vortex regions. Vorticity is calculated through the curl (rotation amount) of the velocity field. The curl describes the tendency of fluid elements to rotate around themselves. Therefore, through the velocity field data in the high-turbulence region, the vorticity value at each position point can be solved. For example, in a certain high-turbulence region in the gas collection chamber, the velocity field at a certain position is: v = (2.5 m / s, 1.2 m / s, 0.8 m / s). Through the curl operator calculation, the vorticity at this point is: . The vorticity gradient represents the rate of change of vorticity in space and is calculated by spatially differentiating the vorticity field. For example, assume that in a certain high-turbulence region, the change in the vorticity field shows the following changes in the vorticity in the x, y, and z directions respectively: , , , where is the vorticity in the x - direction, is the vorticity in the x - direction, is the vorticity in the x - direction. Therefore, the vorticity gradient is (0.2s -2 , - 0.1s -2 , 0.05s -2 ). The vorticity gradient data reveals the changes in the central region of the vortex. Through the vorticity gradient, the core region of the vortex, that is, the position of the vortex core center, is located. The region with a larger vorticity gradient usually represents the vortex core region. Therefore, the position with the maximum rate of change of vorticity is selected to determine the vortex core. For example, if within a certain region, the rate of change of the vorticity gradient in the x - direction is the largest (assumed to be ), assuming that the vortex core is located at the position where the vorticity change in this direction is the strongest, it becomes the candidate vortex core center. Assume that the position of the point with the maximum vorticity change determined by the vorticity gradient data in the high - turbulence region within the plenum chamber is the coordinate (x = 3.0m, y = 2.5m, z = 1.0m), which is used as the candidate coordinate of the vortex core center.

[0044] By calculating the vorticity gradient and locating the coordinate points, a series of regions with larger vorticity gradients are determined and regarded as candidate vortex core centers. The vortex core center is the center of the vortex in the flow field and is usually the position with the maximum rotational speed in the flow. In a vortex, the air flow rotates around the vortex core, and the vortex core is the core region where gas accumulates. According to the candidate vortex core center, the gas accumulation determination is carried out to judge whether gas accumulates at this position. Gas accumulation usually appears as a region with a lower flow velocity, a higher gas concentration, and a stronger vorticity. The vortex core region itself is the center of the vortex structure, and gas is likely to stay and accumulate in this region. A search region is set around the candidate vortex core center. Usually, the size of this region is related to the intensity and scale of the vortex. Assume that the radius of the search region is r. Analyze according to the gas flow characteristics within this region, especially data such as gas concentration, flow velocity, and pressure. If the gas concentration within this region is significantly higher than other regions, then this region is considered as the gas accumulation region. Judge whether there is an air flow retention phenomenon within this region. A lower flow velocity and a longer residence time of gas in this region often mean that gas accumulates here.

[0045] Based on the determined gas accumulation, identify the accumulation core area. The accumulation core area is not just a single coordinate point, but usually has a certain spatial range. The gas accumulation core area is the area where gas accumulates in space due to flow and vortex effects. Usually, the gas concentration is relatively high, which is suitable for effective suction. By accurately identifying the high-turbulence area and the gas accumulation core area, optimize the gas extraction strategy of the gas relay to ensure that gas is timely and effectively extracted from the high-concentration area; by dynamically identifying the vortex and turbulence areas, it helps to monitor the gas accumulation trend in real time. Especially for the cases of irregular airflows and vortices, it can effectively prevent potential safety hazards caused by gas retention.

[0046] S300: Extract multiple spatial coordinates according to the gas accumulation core area, and control the multi-stage gas extraction pipeline to perform directional suction according to the multiple spatial coordinates to obtain the gas suction result.

[0047] Furthermore, S300 of this application includes: Traverse the gas accumulation core area for random selection, and extract multiple spatial coordinates; retrieve the equipment structure information of the gas relay, and construct a gas extraction pipeline coordinate system according to the equipment structure information; map the multiple spatial coordinates to the gas extraction pipeline coordinate system to perform servo control on the gas extraction pipeline, and determine the horizontal rotation angle and pitch angle; set the air extraction negative pressure parameter based on the turbulence intensity data of the gas accumulation core area; activate the multi-stage gas extraction pipeline based on the air extraction negative pressure parameter to perform directional suction according to the horizontal rotation angle and the pitch angle to obtain the gas suction result.

[0048] Specifically, traverse the gas accumulation core area and randomly select multiple spatial coordinates to represent the positions of gas accumulation. Each coordinate point corresponds to a specific position of gas flow. Obtain the equipment structure information of the gas relay, that is, the structural design and layout information of the gas relay, including the relative positions, sizes, pipeline designs, etc. of the gas collection chamber and the gas extraction pipeline. According to the equipment structure information of the gas relay, construct a gas extraction pipeline coordinate system, including the layout, installation angles, pipeline positions, etc. of all the gas extraction pipelines inside the equipment. Map the suction point coordinates to the gas extraction pipeline coordinate system through the structure information to determine the specific position of the suction point in the pipeline.

[0049] Map multiple spatial coordinates to the intake pipe coordinate system, convert the multiple spatial coordinates into positions relative to the intake pipe coordinate system, so as to be able to find the corresponding suction points in the actual positions of the intake pipes. Adjust the rotation angle of the intake pipe through servo control. According to the relative positions of each suction point, calculate the required horizontal rotation angle and pitch angle, so as to accurately adjust the orientation of the pipe. Determine the rotation angle in the horizontal direction by calculating the relationship between the mapped spatial coordinates and the origin of the intake pipe coordinate system. The horizontal rotation angle refers to the angle at which the intake pipe rotates around the vertical axis, which determines the azimuth angle of the intake pipe and thus affects the direction of the air flow. Calculate the required pitch angle by calculating the height difference between the spatial coordinates and the origin. The pitch angle refers to the angle at which the intake pipe rotates around the horizontal axis, controlling the vertical direction (up / down) of the pipe and affecting the adjustment of the air flow height. For example, assume that the spatial coordinate point is (5, 3, 2), and the origin position in the intake pipe coordinate system is (0, 0, 1). Adjust the intake pipe according to the equipment structure information to point to this point. Calculate the horizontal rotation angle: Assume that this point is directly in front of the equipment, and the calculated result of the horizontal rotation angle is 30°; Calculate the pitch angle: Since the height of this point is 2 units and the height of the equipment origin is 0 unit, the pitch angle is 15°.

[0050] Set appropriate air extraction negative pressure parameters according to the turbulence intensity data of the gas aggregation core area. Areas with higher turbulence intensity usually require larger negative pressure values to ensure that the gas can be effectively extracted. For example, set a higher negative pressure (such as -12 kPa) in areas with larger turbulence intensity (turbulence intensity greater than 0.8) to better extract the gas; while set a lower negative pressure (such as -6 kPa) in areas with smaller turbulence (turbulence intensity less than or equal to 0.5) to avoid inefficient extraction caused by excessive extraction.

[0051] Activate the multi-stage intake pipe to perform directional extraction according to the set air extraction negative pressure parameters and the rotation angle of the intake pipe. The air extraction negative pressure and extraction angle (horizontal rotation angle and pitch angle) of each stage of the pipe are adjusted according to the air flow characteristics of different regions. Under the control of the multi-stage intake pipe, each pipe will perform directional extraction according to the set air extraction negative pressure and angle. Monitor and feedback according to the gas extraction results to ensure accurate and effective gas extraction and avoid extracting gas in ineffective areas. Monitor the gas concentration and pressure at the suction point through sensors to determine whether the set target is reached. If the extraction result meets the expectation (such as the gas concentration reaches the required standard), continue to operate; if the extraction effect is poor, adjust the negative pressure or angle and perform extraction again until an ideal extraction result is obtained. The multi-stage intake pipe is an intake pipe composed of multiple pipes, and each pipe can extract gas in different regions to improve the efficiency and accuracy of gas extraction.

[0052] By setting the extraction negative pressure according to the turbulence intensity data of the gas aggregation core area, and combining precise spatial coordinate mapping and a servo control system, the suction efficiency and accuracy of gas extraction from the gas relay are improved, dynamically responding to gas flow changes to ensure that gas is efficiently extracted from the high-concentration area, thereby optimizing the gas extraction effect and purity.

[0053] S400: Perform three-phase separation according to the gas extraction result to generate purified gas parameters, import the purified gas parameters into the chromatographic analysis module for purity detection, and update the multiple spatial coordinates according to the detection result to achieve intelligent optimization of gas extraction from the gas relay.

[0054] Furthermore, S400 of the present application includes: Perform gas-liquid-solid three-phase separation based on the gas extraction result to generate a separation result, perform purification measurement according to the separation result to generate purified gas parameters; construct a chromatographic analysis module, import the purified gas parameters into the chromatographic analysis module to perform purity detection to determine the gas purity vector; calculate the purity deviation based on the gas purity vector to generate a purity deviation value; perform momentum update on the multiple spatial coordinates of the gas aggregation core area according to the purity deviation value to determine multiple spatial correction coordinates; control the multi-stage gas pipeline to perform reoriented suction according to the multiple spatial correction coordinates, and feedback the extraction result to the chromatographic analysis module for closed-loop optimization to achieve intelligent optimization of gas extraction from the gas relay.

[0055] Pass the gas extraction result into a centrifugal-ultrasonic coupling separation chamber to perform gas-liquid-solid three-phase separation: A1: Set the rotation speed parameter of the centrifugal-ultrasonic coupling separation chamber according to the gas density parameter of the gas extraction result, execute the rotation speed parameter to obtain the centrifugal acceleration; A2: Apply an ultrasonic standing wave field based on the centrifugal acceleration to enhance solid-phase separation to obtain a solid-phase separation result; A3: Apply an ultrasonic standing wave field based on the centrifugal acceleration to control liquid-phase recovery to obtain a liquid-phase separation result; A4: Perform real-time gas detection and analysis based on the gas phase outlet to obtain a gas-phase separation result; perform purification measurement according to the solid-phase separation result, the liquid-phase separation result, and the gas-phase separation result to generate the purified gas parameters.

[0056] Construct an injection unit as a data input channel, the input end of the injection unit is the input end of the chromatographic analysis module, and the output end of the injection unit is communicatively connected to the input end of the separation unit; construct a separation unit based on a dual chromatographic column structure, and the output end of the separation unit is communicatively connected to the input end of the detection unit; parallel connect bidirectional detectors to construct a detection unit, and the output end of the detection unit is communicatively connected to the input end of the control unit; construct a control unit to perform data backtracking to execute real-time carrier gas compensation, and the output end of the control unit is the output end of the chromatographic analysis module.

[0057] Specifically, the centrifugal-ultrasonic coupled separation chamber is a separation device that integrates centrifugal force and ultrasonic vibration. It separates substances according to density differences through centrifugal force, and at the same time uses ultrasonic waves to enhance the separation effect between the solid phase and the liquid phase. The gas suction result is introduced into the centrifugal-ultrasonic coupled separation chamber for gas-liquid-solid three-phase separation, that is, during the separation process, gas, liquid, and solid substances are separated from the mixture respectively. Usually, the gas is discharged through the gas phase outlet, and the liquid and solid are recovered separately. The gas, liquid, and solid three phases are separated by the coupling of centrifugation and ultrasonic waves, and high-purity gas is separated from the gas suctioned from the gas relay.

[0058] According to the gas density parameter of the gas suction result, the rotation speed parameter of the centrifugal-ultrasonic coupled separation chamber is set. The density of the gas determines the effect of the centrifugal force. High-density gas requires a higher centrifugal acceleration to achieve separation. By adjusting the rotation speed, the separation effect between the gas and the solid and liquid can be optimized. For example, assume that the gas density in the suction result is 1.2 kg / m³ (higher than the standard gas density), and the rotation speed of the centrifugal separation chamber is set to 5000 rpm according to this density. According to this rotation speed, the centrifugal force reaches approximately 1500 g. According to the set rotation speed parameter, the centrifugal acceleration is calculated. The magnitude of the centrifugal acceleration is determined by the rotation speed and the radius of the separation chamber. The centrifugal acceleration refers to the acceleration generated by an object due to rotation and is a key parameter for separating mixtures. The greater the centrifugal acceleration, the better the separation effect of the substances. For example, assume that the radius of the separation chamber r = 0.3 m and the rotation speed N = 5000 rpm; the rotation speed is converted to angular velocity ω = 2π×5000 / 60 = 523.6 rad / s; The centrifugal acceleration is a = ω 2 ·r = (523.6) 2 ⋅0.3 = 82320.6 m / s 2 ². This centrifugal acceleration (about 82320.6 m / s²) can effectively separate solid or liquid substances in the gas, especially for the separation of high-density substances. According to the set rotation speed and the characteristics of the equipment, the rotation speed parameter is executed, and rotation starts to generate centrifugal acceleration. At this time, the substances inside the centrifugal-ultrasonic coupled separation chamber will be separated according to density differences.

[0059] The centrifugal-ultrasonic coupled separation chamber starts and rotates at a set speed, generating a centrifugal acceleration. While performing centrifugal separation, an ultrasonic standing wave field is applied. The frequency, amplitude, and wavelength of the ultrasonic waves need to be precisely adjusted according to the properties of the target substance to be separated. The role of the standing wave field is to help solid particles separate more effectively from liquids or gases through effects such as mechanical vibration and bubble bursting. Depending on the size and density of the solid particles, the frequency of the ultrasonic waves is usually selected in the range between 20 kHz and 200 kHz. Lower-frequency ultrasonic waves can excite the movement of larger particles, while higher frequencies are suitable for the separation of smaller particles. The standing wave field generates a stable wave pattern in the separation chamber, where the forward and backward waves of the ultrasonic waves combine to produce a strong vibration of the solid particles, helping to promote the outward movement of the solid particles under the action of centrifugal force, thereby improving the separation efficiency of the solids.

[0060] After applying the ultrasonic standing wave field, the vibration effect on the solid particles becomes more intense, thereby enhancing their separation effect. Enhanced solid-phase separation refers to the effective extraction of solid substances from the mixture during the separation process. During centrifugal separation, by introducing an ultrasonic standing wave field, the kinetic energy of the solid substances can be increased, helping the solids to be separated faster and more efficiently. The solid-phase separation result refers to the result after removing solid particles or impurities in gases or liquids through a separation device, which is used to remove solid particles, suspended solids, or other solid impurities to ensure that the purity of the gas or liquid meets the requirements.

[0061] According to the centrifugal acceleration, an ultrasonic standing field is applied to control the liquid-phase recovery, exciting the tiny bubbles and particles in the liquid, enhancing the fluidity of the liquid, so that the heavier liquid components (such as suspended particles) can be separated more quickly. By applying the centrifugal acceleration and the ultrasonic standing wave field, the separation effect of the liquid phase is further optimized, and the lighter and heavier components in the liquid are effectively separated to extract and retain the required liquid-phase components. The liquid-phase separation result refers to the result after separating the liquid components from the mixture, which is usually used to remove impurities, moisture, or other unwanted liquid components in the liquid.

[0062] The gas outlet refers to an outlet channel in the separation device for discharging or collecting the separated gas. A gas sensor is installed at the gas outlet position to capture various parameters in the gas in real time, such as the concentration, flow rate, and pressure of the gas. Analyze the gas parameters detected by the gas sensor in real time to analyze the quality of the gas and determine whether the gas separation achieves the expected effect, that is, to judge whether there are unseparated impurities in the gas or whether the gas concentration reaches the preset standard. According to the real-time gas detection and analysis, output the gas-phase separation result, that is, the quality and purity data of the separated gas obtained through the separation device, including the concentration of each component in the gas and the separation efficiency, etc., which is usually used to evaluate the separation effect and the gas quality.

[0063] Based on the solid-phase separation results, liquid-phase separation results, and gas-phase separation results, the measurement of the purified gas is carried out, that is, analysis is performed according to the separated results to evaluate whether its purity meets the standards. For example, the carbon dioxide concentration in the gas phase, the water content in the liquid phase, the particulate content in the solid phase, etc. According to the separation results of different phases, combined with different purification objectives, analysis is carried out to comprehensively evaluate the effectiveness of the entire separation and purification process. According to the results of the purification measurement, purified gas parameters are output, including gas component concentration, gas purity, gas separation efficiency, etc.

[0064] The injection unit is the part of the chromatographic analysis module used to introduce samples, ensuring that the samples enter the chromatographic system in a controllable manner. The injection unit is constructed as a data input channel for introducing samples. The input end of the injection unit is the input end of the chromatographic analysis module, and the samples are introduced into the chromatographic analysis module through the injection port. The injection unit needs to ensure that the samples are stably introduced within a given time window without affecting the separation efficiency of the chromatographic column. The output end of the injection unit is communicatively connected to the input end of the separation unit to ensure that the flow rate and flow volume of the samples meet the requirements of the analysis module and do not have an adverse impact on the sample separation process. In liquid or gas chromatography, the separation unit is usually a chromatographic column.

[0065] The separation unit adopts a dual-chromatographic-column structure, which can improve the separation effect and efficiency and is suitable for the separation of complex samples. The dual-chromatographic columns separate according to the physical or chemical characteristics of each component in the sample, and the separation efficiency and resolution directly affect the analysis quality of the gas. Select appropriate dual-chromatographic columns according to the characteristics of the sample. The use of dual-chromatographic columns can improve the separation accuracy and avoid mutual interference between sample components. Adjust the flow rate and temperature of the chromatographic columns according to the properties of different samples to achieve the best separation effect. Select appropriate fillers according to the characteristics of the gas sample to be analyzed. For example, polar columns are used to separate polar compounds, and non-polar columns are suitable for separating non-polar compounds. The dual-chromatographic columns usually need to work at different temperatures. By adjusting the temperature and flow rate, the optimal separation efficiency can be achieved. Different temperature and flow rate settings will affect the separation effect. The output end of the separation unit is communicatively connected to the input end of the detection unit, and the different components after the separation process will be directly sent to the detection unit for analysis. When connecting the two, ensure the accuracy and stability of signal transmission to avoid signal loss or interference.

[0066] The detection unit is used to monitor the components flowing out of the separation unit in real time, ensuring that the concentration of each component is accurately captured and quantified after separation. The detection unit is composed of bidirectional detectors in parallel, which can detect signals at different wavelengths simultaneously, improving the sensitivity and range of detection. A bidirectional detector is a device that can detect and respond to changes in multiple directions or multiple substances simultaneously. In gas chromatography analysis, a bidirectional detector can provide bidirectional feedback on the concentration changes of the injected substance and is usually used to detect multiple components in complex samples. Through two independent signal acquisitions, double verification of the data is ensured. The detection unit detects the separated components and outputs the data to the control unit.

[0067] The bidirectional detectors are connected in parallel to enhance the overall capabilities of the detection unit, especially in analytical tasks with high sensitivity and high precision requirements. Through the parallel connection method, different signal information can be captured simultaneously, and multiple components from the sample can be processed. The choice of the type of bidirectional detector is based on the analysis requirements. Common detectors include thermal conductivity detectors (TCD), flame ionization detectors (FID), etc., and the specific choice depends on the nature of the sample to be analyzed. The bidirectional detectors are connected together through appropriate interfaces to ensure that each detector can independently acquire data and transmit it to the control unit.

[0068] The output end of the detection unit is connected to the input end of the control unit to ensure that each detected signal can be transmitted to the control unit in a timely manner. The control unit analyzes, processes, and regulates other processes of the chromatography analysis (such as data backtracking, carrier gas compensation, etc.) based on the received signal data. The control unit is responsible for data backtracking and real-time carrier gas compensation to ensure the accuracy and stability of the analysis. The control unit first receives data from the detection unit constructed by connecting bidirectional detectors in parallel, identifies and records the current trend of gas composition changes, and generates real-time analysis data. The data backtracking function is used when unexpected or unstable measurement results occur. It can backtrack to the historical data of a certain period in the past, check and adjust the analysis process, and avoid incorrect results caused by measurement errors. When an abnormality occurs (such as detecting an abnormal signal or detection error), the control unit can backtrack to a certain time point according to preset conditions, re-examine all the data in that period, verify the parameter settings and signal processing logic during the process, and adjust the operation. Through backtracking, potential problems are discovered and parameters such as carrier gas flow rate and column temperature are adjusted to ensure the consistency of the analysis process.

[0069] The control unit first detects the change in carrier gas flow rate in real time and obtains real-time data through a flow sensor. According to the detected flow rate change, the control unit will automatically adjust the flow rate or pressure of the carrier gas by controlling hardware such as valves and pumps to ensure that they are always within the set range. Carrier gas compensation is a key part of ensuring the analysis accuracy during the chromatographic separation process. The change in carrier gas flow rate usually affects the separation effect of the chromatographic column, so it needs to be adjusted in real time to maintain the optimal separation conditions. The output end of the control unit is the output end of the chromatographic analysis module, ensuring that the analysis results can be displayed in the final stage and the final results are output and presented in the form of charts, numerical values, etc.

[0070] The purified gas parameters obtained through gas-liquid-solid three-phase separation and purification measurement are imported into the chromatographic analysis module. The chromatographic analysis module performs purity detection through its built-in detection algorithm, analyzes the concentration of each component in the gas, and generates a gas purity vector. For example, assume that the purified gas contains oxygen, nitrogen, and methane. The chromatographic analysis module generates the following gas purity vector by analyzing the component data of the gas sample: O2 = 95%, N2 = 4.5%, CH4 = 0.5%. The gas purity vector is a vector generated based on the gas component analysis results, which represents the purity or concentration distribution of each component in the gas sample. Usually, the gas purity vector consists of multiple data, and each data represents the relative concentration of different components in the gas.

[0071] Based on the generated gas purity vector, calculate the deviation between the actual gas purity and the expected target purity to obtain the purity deviation value. Purity deviation calculation is to obtain a deviation value by comparing the difference between the actual purity vector of the current gas and the expected purity vector, which helps to measure whether the gas purity meets the expected requirements. For example, assume that the target purity is O2 = 98%, N2 = 1%, CH4 = 0%, then the purity deviation values are: the purity deviation value of oxygen is 3%, the purity deviation value of nitrogen is 3.5%, the purity deviation value of methane is 0.5%, and the overall purity deviation is 2.33%.

[0072] Based on the purity deviation value, perform momentum update on multiple spatial coordinates in the gas aggregation core area, and adjust the direction and range of gas suction according to the purity deviation. If the gas purity in a certain area is low, adjust the gas suction path according to the deviation value so that the gas suction pipeline can more effectively extract high-concentration gas. Momentum update will adjust the coordinates according to the magnitude of the purity deviation value to optimize the gas suction path and ensure that the extracted gas is closer to the target purity. Momentum update can be simulated by simple physical formulas, for example: where, Δx i is the coordinate update amount, α is the adjustment factor, ΔP is the purity deviation value, x target is the target position, x iis the current spatial coordinate. To ensure the stability of the update, the adjustment factor α is usually less than 1 and is adjusted according to experimental results. The typical value range is from 0.1 to 0.5. An overly large α will cause the coordinate update to be too drastic and may lead to instability. After momentum update, all spatial coordinates are adjusted so that the new coordinates are closer to the high-concentration gas region in the target area. The corrected coordinates can provide a more accurate gas extraction path.

[0073] According to the updated spatial coordinates, the path of the multi-stage gas extraction pipeline is adjusted to extract the gas in the target area more effectively. The rotation angle, pitch angle, and position of the gas extraction pipeline will be appropriately adjusted to ensure accurate suction from the latest spatial coordinates. The spatially corrected coordinates are the new coordinates after momentum update, and these coordinates are corrected through a certain control algorithm to optimize the gas extraction path and efficiency, ensuring efficient extraction of gas from the core area where gas accumulates.

[0074] According to multiple updated spatially corrected coordinates, control the multi-stage gas extraction pipeline and reorient the extraction. Adjust the angles, positions, and suction forces of each stage of the pipeline according to the multiple updated spatially corrected coordinates to ensure accurate extraction of the gas in the core area where gas accumulates. The pipeline will be adjusted according to the horizontal rotation angle, pitch angle, and position coordinates to improve the suction efficiency. The adjustment results of the gas extraction pipeline will be fed back to the chromatographic analysis module to re-analyze the composition and purity of the gas according to the new suction results. Through closed-loop feedback, the gas extraction and purification process is optimized in real time to ensure that the purity of the target gas gradually approaches the preset value. Through intelligent control and feedback mechanisms, optimize the gas extraction path of the gas relay to ensure that it extracts the purest and most efficient gas from the gas accumulation area, avoiding ineffective suction and energy waste.

[0075] By implementing purity detection, deviation calculation, spatial coordinate momentum update, and reoriented suction of the multi-stage gas extraction pipeline, the intelligent optimization of the gas extraction process of the gas relay is realized. The closed-loop optimization mechanism ensures the continuous improvement of gas purity, while the dynamic adjustment of spatial coordinates and suction paths improves the efficiency and accuracy of gas extraction, not only improving gas purity but also enhancing the level of intelligence and automation.

[0076] In summary, the gas extraction method for the gas relay based on gas flow analysis provided by this application has the following beneficial effects: By performing real-time monitoring on the gas collection chamber of the gas relay to construct a dynamic flow field distribution map, calculating the turbulence intensity based on the dynamic flow field distribution map, identifying the core area of gas accumulation, extracting multiple spatial coordinates according to the core area of gas accumulation, controlling a multi-stage gas suction pipeline for directional suction according to the multiple spatial coordinates to obtain a gas suction result, performing three-phase separation according to the gas suction result to generate purified gas parameters, importing the purified gas parameters into a chromatographic analysis module for purity detection, and updating the multiple spatial coordinates according to the detection result, the intelligent extraction optimization of the gas in the gas relay is realized. That is to say, by monitoring the gas flow fluctuation in the gas collection chamber in real time and generating a dynamic flow field distribution map, the core area of gas accumulation is accurately identified; the directional suction parameters of the multi-stage gas suction pipeline are dynamically regulated to achieve efficient three-phase separation of gas-liquid-solid; through optical purity detection, the efficiency and purity of gas extraction are improved.

[0077] Embodiment 2. Based on the same inventive concept as the method for extracting gas from a gas relay based on gas flow analysis in the foregoing Embodiment 1, the present application also provides a system for extracting gas from a gas relay based on gas flow analysis. Please refer to the attached Figure 2 The system for extracting gas from a gas relay based on gas flow analysis includes: An air flow fluctuation monitoring module 11 for performing real-time monitoring on the gas collection chamber of the gas relay to construct a dynamic flow field distribution map; a turbulence intensity calculation module 12 for calculating the turbulence intensity based on the dynamic flow field distribution map to identify the core area of gas accumulation; a directional suction module 13 for extracting multiple spatial coordinates according to the core area of gas accumulation and controlling a multi-stage gas suction pipeline for directional suction according to the multiple spatial coordinates to obtain a gas suction result; a purity detection module 14 for performing three-phase separation according to the gas suction result to generate purified gas parameters, importing the purified gas parameters into a chromatographic analysis module for purity detection, and updating the multiple spatial coordinates according to the detection result to realize the intelligent extraction optimization of the gas in the gas relay.

[0078] Furthermore, the air flow fluctuation monitoring module 11 in the system for extracting gas from a gas relay based on gas flow analysis is further configured to: arrange a pressure sensor array in the gas collection chamber of the gas relay, collect pressure through the pressure sensor array to obtain a pressure sensing data set of the gas collection chamber; perform axial analysis on the gas collection chamber based on the pressure sensing data set to obtain an axial pressure gradient parameter; perform radial analysis on the gas collection chamber based on the pressure sensing data set to obtain a radial pressure gradient parameter; perform gas flow velocity conversion according to the axial pressure gradient parameter and the radial pressure gradient parameter to construct a flow velocity vector matrix; perform vorticity calculation on the flow velocity vector matrix to determine a flow velocity curl distribution parameter, and construct the dynamic flow field distribution map according to the flow velocity curl distribution parameter.

[0079] Furthermore, the airflow fluctuation monitoring module 11 in the gas extraction system of the Buchholz relay based on gas flow analysis is further configured to: calculate based on the velocity vector matrix combined with the curl operator to obtain the velocity curl distribution parameters, where the velocity curl distribution parameters include vorticity intensity parameters, vortex core position parameters, and vortex tube radius parameters; identify the connected region area according to the vortex tube radius parameters, verify the vortex core position parameters based on the connected region area, and generate a position parameter verification result; analyze according to the position parameter verification result combined with the vorticity intensity parameters to determine the velocity field direction data; render according to the position parameter verification result combined with the vortex tube radius parameters to obtain the vortex tube structure data; construct the dynamic flow field distribution map according to the vortex core position parameters, the velocity field direction data, and the vortex tube structure data.

[0080] Furthermore, the turbulence intensity calculation module 12 in the gas extraction system of the Buchholz relay based on gas flow analysis is further configured to: traverse the dynamic flow field distribution map to extract vorticity field data and velocity field data; perform local turbulence calculation based on the vorticity field data and the velocity field data to determine the local turbulence intensity data set; perform velocity determination identification according to the local turbulence intensity data set, and obtain the high turbulence area according to the identification result; solve vorticity based on the high turbulence area to determine the vorticity gradient parameter, locate the coordinate points according to the vorticity gradient parameter, and generate a candidate vortex core center; determine the gas aggregation according to the candidate vortex core center, and identify and determine the gas aggregation core area.

[0081] Furthermore, the directional suction module 13 in the gas extraction system of the Buchholz relay based on gas flow analysis is further configured to: randomly select through traversing the gas aggregation core area to extract multiple spatial coordinates; retrieve the equipment structure information of the Buchholz relay, and construct an air extraction pipeline coordinate system according to the equipment structure information; map the multiple spatial coordinates to the air extraction pipeline coordinate system to perform servo control on the air extraction pipeline, and determine the horizontal rotation angle and pitch angle; set the air extraction negative pressure parameter based on the turbulence intensity data of the gas aggregation core area; activate the multi-stage air extraction pipeline based on the air extraction negative pressure parameter and perform directional suction according to the horizontal rotation angle and the pitch angle to obtain the gas suction result.

[0082] Further, the purity detection module 14 in the gas extraction system of the gas relay based on gas flow analysis is further configured to: perform gas-liquid-solid three-phase separation based on the gas extraction result, generate a separation result, perform purification measurement according to the separation result, and generate purified gas parameters; construct a chromatographic analysis module, import the purified gas parameters into the chromatographic analysis module to perform purity detection, and determine a gas purity vector; perform purity deviation calculation based on the gas purity vector, and generate a purity deviation value; perform momentum update on the multiple spatial coordinates in the gas aggregation core area according to the purity deviation value, and determine multiple spatial correction coordinates; control the multi-stage gas pipeline to perform redirectional extraction according to the multiple spatial correction coordinates, and feedback the extraction result to the chromatographic analysis module for closed-loop optimization, so as to realize the intelligent extraction optimization of the gas of the gas relay.

[0083] Further, the purity detection module 14 in the gas extraction system of the gas relay based on gas flow analysis is further configured to: introduce the gas extraction result into a centrifugal-ultrasonic coupling separation chamber to perform gas-liquid-solid three-phase separation: A1: Set the rotation speed parameter of the centrifugal-ultrasonic coupling separation chamber according to the gas density parameter of the gas extraction result, execute the rotation speed parameter, and obtain a centrifugal acceleration; A2: Apply an ultrasonic standing wave field based on the centrifugal acceleration to enhance solid-phase separation, and obtain a solid-phase separation result; A3: Apply an ultrasonic standing wave field based on the centrifugal acceleration to control liquid-phase recovery, and obtain a liquid-phase separation result; A4: Perform real-time gas detection and analysis based on the gas phase outlet, and obtain a gas-phase separation result; perform purification measurement according to the solid-phase separation result, the liquid-phase separation result, and the gas-phase separation result, and generate the purified gas parameters.

[0084] Further, the purity detection module 14 in the gas extraction system of the gas relay based on gas flow analysis is further configured to: construct a sampling unit as a data input channel, the input end of the sampling unit is the input end of the chromatographic analysis module, and the output end of the sampling unit is communicatively connected to the input end of the separation unit; construct a separation unit based on a dual chromatographic column structure, and the output end of the separation unit is communicatively connected to the input end of the detection unit; connect two-way detectors in parallel to construct a detection unit, and the output end of the detection unit is communicatively connected to the input end of the control unit; construct a control unit to perform data backtracking to execute real-time carrier gas compensation, and the output end of the control unit is the output end of the chromatographic analysis module.

[0085] The various embodiments in this specification are described in a progressive manner, and the key point of each embodiment is the difference from other embodiments. The foregoing Figure 1The gas extraction method and specific examples of the gas relay based on gas flow analysis in Embodiment 1 are equally applicable to the gas relay gas extraction system based on gas flow analysis in this embodiment. Through the foregoing detailed description of the gas extraction method of the gas relay based on gas flow analysis, those skilled in the art can clearly know the gas relay gas extraction system based on gas flow analysis in this embodiment. Therefore, for the sake of brevity of the specification, it will not be described in detail herein.

[0086] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0087] Obviously, those skilled in the art can make several improvements and modifications to the present application without departing from the principle of the present application, and these improvements and modifications also fall within the protection scope of the present application.

Claims

1. A gas extraction method for a gas relay based on gas flow analysis, characterized in that Including: Conduct real-time air flow fluctuation monitoring on the gas collecting chamber of the gas relay, and construct a dynamic flow field distribution map; Calculate the turbulence intensity based on the dynamic flow field distribution map, and identify the gas aggregation core area; Extract multiple spatial coordinates according to the gas aggregation core area, and control the multi-stage gas extraction pipeline for directional suction according to the multiple spatial coordinates to obtain the gas suction result; Conduct three-phase separation according to the gas suction result to generate purified gas parameters, import the purified gas parameters into the chromatographic analysis module for purity detection, and update the multiple spatial coordinates according to the detection result to realize the intelligent gas extraction optimization of the gas relay.

2. The gas extraction method of the gas relay based on gas flow analysis according to claim 1, wherein, Conduct real-time air flow fluctuation monitoring on the gas collecting chamber of the gas relay, and construct a dynamic flow field distribution map, including: Arrange a pressure sensor array on the gas collecting chamber of the gas relay, collect pressure through the pressure sensor array, and obtain the pressure sensing data set of the gas collecting chamber; Conduct axial analysis on the gas collecting chamber based on the pressure sensing data set to obtain the axial pressure gradient parameter; Conduct radial analysis on the gas collecting chamber based on the pressure sensing data set to obtain the radial pressure gradient parameter; Conduct gas flow velocity conversion according to the axial pressure gradient parameter and the radial pressure gradient parameter, and construct a flow velocity vector matrix; Perform vorticity calculation on the flow velocity vector matrix to determine the flow velocity curl distribution parameter, and construct the dynamic flow field distribution map according to the flow velocity curl distribution parameter.

3. The gas extraction method of the gas relay based on gas flow analysis according to claim 2, characterized in that, Perform vorticity calculation on the flow velocity vector matrix to determine the flow velocity curl distribution parameter, and construct the dynamic flow field distribution map according to the flow velocity curl distribution parameter, including: Perform calculation based on the flow velocity vector matrix combined with the curl operator to obtain the flow velocity curl distribution parameter, and the flow velocity curl distribution parameter includes vorticity intensity parameter, vortex core position parameter, and vortex tube radius parameter; Identify the connected area according to the vortex tube radius parameter, verify the vortex core position parameter based on the connected area, and generate a position parameter verification result; Analyze according to the position parameter verification result combined with the vorticity intensity parameter to determine the flow velocity field direction data; Render according to the position parameter verification result combined with the vortex tube radius parameter to obtain the vortex tube structure data; Construct the dynamic flow field distribution map according to the vortex core position parameter, the flow velocity field direction data, and the vortex tube structure data.

4. The gas extraction method of the gas relay based on gas flow analysis according to claim 1, characterized in that Calculate the turbulence intensity based on the dynamic flow field distribution map, and identify the gas aggregation core area, including: Traverse the dynamic flow field distribution map to extract vorticity field data and flow velocity field data; Conduct local turbulence calculation based on the vorticity field data and the flow velocity field data to determine the local turbulence intensity data set; Conduct flow velocity determination identification according to the local turbulence intensity data set, and obtain the high-turbulence area according to the identification result; Solve vorticity based on the high-turbulence area to determine the vorticity gradient parameter, locate the coordinate points according to the vorticity gradient parameter, and generate a candidate vortex core center; Judge the gas aggregation according to the candidate vortex core center, and identify and determine the gas aggregation core area.

5. The gas extraction method of the gas relay based on gas flow analysis according to claim 1, characterized in that, Extract multiple spatial coordinates according to the gas aggregation core area, and control the multi-stage gas extraction pipeline according to the multiple spatial coordinates for directional suction to obtain a gas suction result, including: Traverse the gas aggregation core area for random selection and extract multiple spatial coordinates; Retrieve the equipment structure information of the gas relay, and construct a gas extraction pipeline coordinate system according to the equipment structure information; Map the multiple spatial coordinates to the gas extraction pipeline coordinate system to perform servo control on the gas extraction pipeline, and determine the horizontal rotation angle and pitch angle; Set the air extraction negative pressure parameter based on the turbulence intensity data of the gas aggregation core area; Activate the multi-stage gas extraction pipeline based on the air extraction negative pressure parameter to perform directional suction according to the horizontal rotation angle and the pitch angle, and obtain the gas suction result.

6. The gas extraction method of the gas relay based on gas flow analysis according to claim 1, wherein Perform three-phase separation according to the gas suction result to generate purified gas parameters, import the purified gas parameters into the chromatographic analysis module for purity detection, and update the multiple spatial coordinates according to the detection result to realize the intelligent gas extraction optimization of the gas relay, including: Perform gas-liquid-solid three-phase separation based on the gas suction result to generate a separation result, and perform purification measurement according to the separation result to generate purified gas parameters; Construct a chromatographic analysis module, import the purified gas parameters into the chromatographic analysis module to perform purity detection, and determine the gas purity vector; Perform purity deviation calculation based on the gas purity vector to generate a purity deviation value; Perform momentum update on the multiple spatial coordinates of the gas aggregation core area according to the purity deviation value to determine multiple spatial correction coordinates; Control the multi-stage gas extraction pipeline according to the multiple spatial correction coordinates to perform re-directional suction, and feedback the suction result to the chromatographic analysis module for closed-loop optimization to realize the intelligent gas extraction optimization of the gas relay.

7. The gas extraction method of the gas relay based on gas flow analysis according to claim 6, characterized in that, Perform gas-liquid-solid three-phase separation based on the gas suction result to generate a separation result, and perform purification measurement according to the separation result to generate purified gas parameters, including: Pass the gas suction result into a centrifugal-ultrasonic coupling separation chamber to perform gas-liquid-solid three-phase separation: A1: Set the rotation speed parameter of the centrifugal-ultrasonic coupling separation chamber according to the gas density parameter of the gas suction result, execute the rotation speed parameter, and obtain the centrifugal acceleration; A2: Apply an ultrasonic standing wave field based on the centrifugal acceleration to enhance solid-phase separation and obtain a solid-phase separation result; A3: Apply an ultrasonic standing wave field based on the centrifugal acceleration to control liquid-phase recovery and obtain a liquid-phase separation result; A4: Perform real-time gas detection and analysis based on the gas phase outlet to obtain a gas phase separation result; Perform purification measurement according to the solid-phase separation result, the liquid-phase separation result, and the gas-phase separation result to generate the purified gas parameters.

8. The gas extraction method of the gas relay based on gas flow analysis according to claim 6, characterized in that, The process of constructing a chromatographic analysis module includes: Construct an injection unit as a data input channel, the input end of the injection unit is the input end of the chromatographic analysis module, and the output end of the injection unit is communicatively connected to the input end of the separation unit; Construct a separation unit based on a dual chromatographic column structure, and the output end of the separation unit is communicatively connected to the input end of the detection unit; Parallel connection of two-way detectors is carried out to construct a detection unit, and the output end of the detection unit is communicatively connected to the input end of the control unit; A control unit is constructed to perform data backtracking to execute real-time carrier gas compensation, and the output end of the control unit is the output end of the chromatographic analysis module.

9. A gas extraction system for a gas relay based on gas flow analysis, characterized in that It is used to implement the steps of the gas extraction method of the gas relay based on gas flow analysis according to any one of claims 1 to 8. The gas extraction system of the gas relay based on gas flow analysis includes: An air flow fluctuation monitoring module, which is used to monitor the real-time air flow fluctuation of the gas collecting chamber of the gas relay and construct a dynamic flow field distribution map; A turbulence intensity calculation module, which is used to calculate the turbulence intensity based on the dynamic flow field distribution map and identify the gas aggregation core area; A directional suction module, which is used to extract multiple spatial coordinates according to the gas aggregation core area, control a multi-stage gas pipeline for directional suction according to the multiple spatial coordinates, and obtain a gas suction result; A purity detection module, which is used to perform three-phase separation according to the gas suction result, generate purified gas parameters, import the purified gas parameters into the chromatographic analysis module for purity detection, update the multiple spatial coordinates according to the detection result, and realize the intelligent extraction optimization of the gas of the gas relay.

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