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

Abstract

The present application provides a gas extraction method and system for a gas relay based on gas flow analysis, which relates to the field of relay technology. The method includes: real-time airflow fluctuation monitoring of the gas collecting chamber of the gas relay, and construction of a dynamic flow field distribution map; identifying the core area of ​​gas accumulation; extracting multiple spatial coordinates, controlling the multi-stage air extraction pipeline to perform directional suction, and obtaining gas suction results; performing three-phase separation, generating purified gas parameters, importing the chromatographic analysis module for purity detection, and updating the multiple spatial coordinates according to the detection results to achieve intelligent gas extraction optimization of the gas relay. This application solves the technical problem in the prior art that due to the complexity of gas flow, the fixed suction method leads to inaccurate gas extraction, thereby affecting the efficiency and purity of gas extraction. By accurately identifying the core area of ​​gas accumulation and performing directional suction, and performing three-phase separation on the suction results, the efficiency and purity of gas extraction are improved.

Description

Technical Field

[0001] The present application relates to the field of relay technology, and in particular to a gas extraction method and system for a Buchholz relay based on gas flow analysis. Background Art

[0002] Gas extraction methods for gas relays typically rely on fixed suction points or pre-set piping, which are unable to cope with changes in gas flow conditions within the gas collection chamber. In areas of turbulent airflow, concentrated gas flow, or other unstable regions, fixed suction points struggle to effectively capture gas changes, resulting in inaccurate gas extraction. Furthermore, due to the unpredictable nature of gas flow, fixed suction point designs cannot be adjusted in real time to accommodate new flow conditions. This is especially true when gas flow changes, preventing the suction point from being adjusted in real time. This results in gas being unable to be extracted from high-concentration areas in a timely manner, impacting gas extraction efficiency and purity.

[0003] In summary, the existing technology has a technical problem that due to the complexity of gas flow, a fixed suction method is difficult to adapt to changes in gas flow conditions, resulting in inaccurate gas extraction, thereby affecting 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 the changes in gas flow state, resulting in inaccurate gas extraction, thereby affecting the gas extraction efficiency and purity.

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

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

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

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

[0009] Optionally, the dynamic flow field distribution diagram is traversed to extract vortex field data and velocity field data; local turbulence calculation is performed based on the vortex field data and the velocity field data to determine a local turbulence intensity data set; velocity determination and identification are performed based on the local turbulence intensity data set, and a high turbulence area is obtained based on the identification result; vortex is solved based on the high turbulence area to determine the vortex gradient parameters, coordinate points are located according to the vortex gradient parameters, and candidate vortex core centers are generated; gas aggregation is determined according to the candidate vortex core centers, and the gas aggregation core area is identified and determined.

[0010] Optionally, the gas gathering core area is traversed for random selection to extract multiple spatial coordinates; the device structure information of the gas relay is retrieved, and an air bleed pipe coordinate system is constructed according to the device structure information; the multiple spatial coordinates are mapped to the air bleed pipe coordinate system to perform servo control on the air bleed pipe and determine the horizontal rotation angle and the pitch angle; the exhaust negative pressure parameters are set based on the turbulence intensity data of the gas gathering core area; based on the exhaust negative pressure parameters, the multi-stage air bleed pipe is activated to perform directional suction according to the horizontal rotation angle and the pitch angle to obtain the gas suction result.

[0011] Optionally, gas-liquid-solid three-phase separation is performed based on the gas suction result to generate a separation result, purification measurement is performed according to the separation result, and purified gas parameters are generated; a chromatographic analysis module is constructed, and the purified gas parameters are imported into the chromatographic analysis module to perform purity detection and determine the gas purity vector; purity deviation calculation is performed based on the gas purity vector to generate a purity deviation value; momentum update is performed on the multiple spatial coordinates of the gas aggregation core area according to the purity deviation value to determine multiple spatial correction coordinates; multi-stage air bleed pipelines are controlled to perform redirected suction according to the multiple spatial correction coordinates, and the suction results are fed back to the chromatographic analysis module for closed-loop optimization to achieve intelligent gas extraction optimization of the gas relay.

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

[0013] Optionally, an injection unit is constructed 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; a separation unit is constructed 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; bidirectional detectors are connected 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; a control unit is constructed to perform data backtracking and real-time carrier gas compensation, and the output end of the control unit is the output end of the chromatographic analysis module.

[0014] In the second aspect, the present application also provides a gas discharge system for a gas relay based on gas flow analysis, which is used to execute the gas discharge method for a gas relay based on gas flow analysis as described in the first aspect, wherein the gas discharge system for a gas relay based on gas flow analysis includes: an airflow fluctuation monitoring module, which is used to perform real-time airflow fluctuation monitoring on 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 perform turbulence intensity calculation based on the dynamic flow field distribution map and identify the gas accumulation core area; a directional suction module, which is used to extract multiple spatial coordinates according to the gas accumulation core area, and control the multi-stage air intake pipeline to perform directional suction according to the multiple spatial coordinates to obtain gas suction results; a purity detection module, which is used to perform three-phase separation according to the gas suction results 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 results to realize the intelligent gas discharge optimization of the gas relay.

[0015] One or more technical solutions provided in this application have at least the following beneficial effects:

[0016] By monitoring the air flow fluctuations in the gas collecting chamber of the gas relay in real time, a dynamic flow field distribution map is constructed; based on the dynamic flow field distribution map, turbulence intensity is calculated to identify the core area of ​​gas accumulation; multiple spatial coordinates are extracted based on the core area of ​​gas accumulation, and directional suction is controlled in accordance with the multiple spatial coordinates to obtain gas suction results; three-phase separation is performed according to the gas suction results to generate purified gas parameters, which are imported into the chromatographic analysis module for purity detection, and the multiple spatial coordinates are updated according to the detection results to achieve intelligent gas extraction optimization of the gas relay. In other words, by real-time monitoring of gas flow fluctuations in the gas collecting chamber 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 bleed pipeline are dynamically controlled to achieve efficient gas-liquid-solid three-phase separation; and optical purity detection is used to improve the efficiency and purity of gas extraction.

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, which can be implemented in accordance with the contents of the description, and to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically listed below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in this application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and a person of ordinary skill in the art can obtain other drawings based on the provided drawings without creative work.

[0019] Figure 1 This is a flow chart of a gas extraction method for a Buchholz relay based on gas flow analysis in this application.

[0020] Figure 2 This is a structural diagram of the gas outlet system of the Buchholz relay based on gas flow analysis in this application.

[0021] Description of the accompanying drawings: airflow fluctuation monitoring module 11, turbulence intensity calculation module 12, directional suction module 13, purity detection module 14. DETAILED DESCRIPTION

[0022] This application provides a gas extraction method and system for gas relays based on gas flow analysis, resolving the existing technical issues of inaccurate gas extraction due to the complexity of gas flow, making it difficult for fixed extraction methods to adapt to changes in gas flow conditions, thereby affecting gas extraction efficiency and purity. By real-time monitoring of gas flow fluctuations within the gas collection chamber and generating a dynamic flow field distribution map, the core area of ​​gas accumulation can be accurately identified. Dynamically controlling the directional extraction parameters of the multi-stage gas extraction pipeline achieves efficient gas-liquid-solid three-phase separation. Optical purity detection improves gas extraction efficiency and purity.

[0023] Below, the technical solutions in this application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited to the example embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. It should also be noted that, for the convenience of description, only the parts related to this application, rather than all of them, are shown in the accompanying drawings.

[0024] For example, see the attached Figure 1 The present application provides a gas extraction method for a gas relay based on gas flow analysis, wherein the gas extraction method for a gas relay based on gas flow analysis is performed by a gas extraction system for a gas relay based on gas flow analysis, and the gas extraction method for a gas relay based on gas flow analysis specifically comprises the following steps:

[0025] S100: Monitor the airflow fluctuations in the gas collecting chamber of the gas relay in real time and construct a dynamic flow field distribution map.

[0026] Furthermore, the present application S100 includes:

[0027] A pressure sensor array is arranged on the gas collecting chamber of the gas relay, and pressure is collected through the pressure sensor array to obtain a pressure sensing data set of the gas collecting chamber; an axial analysis is performed on the gas collecting chamber based on the pressure sensing data set to obtain axial pressure gradient parameters; a radial analysis is performed on the gas collecting chamber based on the pressure sensing data set to obtain radial pressure gradient parameters; gas flow velocity is converted according to the axial pressure gradient parameters and the radial pressure gradient parameters to construct a flow velocity vector matrix; vorticity calculation is performed on the flow velocity vector matrix to determine the flow velocity curl distribution parameters, and the dynamic flow field distribution diagram is constructed according to the flow velocity curl distribution parameters.

[0028] Furthermore, the present application further comprises the following steps:

[0029] Based on the velocity vector matrix combined with the curl operator, calculations are performed to obtain velocity curl distribution parameters, which include vortex intensity parameters, vortex core position parameters, and vortex tube radius parameters; the area of ​​the connected region is identified according to the vortex tube radius parameters, and the vortex core position parameters are verified based on the connected region area to generate a position parameter verification result; according to the position parameter verification result combined with the vortex intensity parameters, analysis is performed to determine the velocity field direction data; according to the position parameter verification result combined with the vortex tube radius parameters, rendering is performed to obtain vortex tube structure data; and according to the vortex core position parameters, the velocity field direction data, and the vortex tube structure data, the dynamic flow field distribution diagram is constructed.

[0030] Specifically, a pressure sensor array is deployed at various locations within the gas collecting chamber of a Buchholz relay to collect gas pressure data at various locations within the chamber, capturing gas pressure changes in real time. The sensors are placed at various locations within the chamber, including along potential gas flow paths, such as the center, edges, and areas at different heights. The chamber is a space used to collect gas samples. The pressure data within the chamber collected by the pressure sensor array is integrated to generate a pressure sensing dataset for the chamber, including pressure data at various locations within the chamber. For example, at the top (sensor position 1) and bottom (sensor position 20) of the chamber, the pressure recorded for the top sensor at 0 seconds was 1.5 kPa, 1 second at 1.4 kPa, and 2 seconds at 1.6 kPa; the pressure recorded for the bottom sensor at 0 seconds was 2.1 kPa, 1 second at 2.3 kPa, and 2 seconds at 2.0 kPa.

[0031] Axial analysis refers to the analysis of the gas pressure in the plenum along a specific direction (usually the mainstream direction of the plenum). In the three-dimensional space of airflow, the axial direction usually refers to the main direction of gas flow or the long axis of the pipeline. The plenum is analyzed axially based on the pressure sensing data set to obtain the axial pressure gradient parameter. In the plenum, pressure data is selected at several key locations along the main direction of gas flow (i.e., the axial direction), such as the front, back, and center of the plenum. Based on the pressure data at each location, the pressure difference between adjacent locations is calculated. Combined with the distance between the two points, the axial pressure gradient can be obtained. By analyzing the pressure changes between different locations, the pressure gradient in the plenum along the axial direction is obtained.

[0032] For example, assuming that there are 5 sensors in the gas collecting chamber, which are respectively arranged at positions of 0 meters, 1 meter, 2 meters, 3 meters, 4 meters and 5 meters, the recorded pressure values ​​are as follows (unit: kPa): 1.2, 1.15, 1.1, 1.05, 1.0, 0.95. The axial pressure gradient between each two adjacent positions was calculated: from position 0 to position 1, the pressure difference was 1.15-1.2 = -0.05 kPa, with a distance of 1 meter and a gradient of -0.05 kPa / m; from position 1 to position 2, the pressure difference was 1.1-1.15 = -0.05 kPa, with a gradient of -0.05 kPa / m; from position 2 to position 3, the pressure difference was 1.05-1.1 = -0.05 kPa, with a gradient of -0.05 kPa / m; from position 3 to position 4, the pressure difference was 1.0-1.05 = -0.05 kPa, with a gradient of -0.05 kPa / m; and from position 4 to position 5, the pressure difference was 0.95-1.0 = -0.05 kPa, with a gradient of -0.05 kPa / m. This indicates that the airflow in the plenum exhibits a uniform pressure drop along the axial direction, with a gradient of -0.05 kPa / m.

[0033] Radial analysis involves performing pressure analysis along a plane perpendicular to the flow direction, from the center outward. Specifically, it involves analyzing the pressure from the center to the edge of the plenum. This analysis captures radial (e.g., lateral) pressure variations. The radial direction of the plenum is typically perpendicular to the main direction of the airflow. Similarly, by calculating the pressure difference between adjacent locations and combining the radial distance between them, the radial pressure gradient can be calculated. The resulting pressure gradient, known as the radial pressure gradient parameter, characterizes the radial variation of the gas within the plenum. For example, assuming the pressure changes from 1.1 kPa to 1.3 kPa at locations r1 to r2 in the radial direction of the plenum, the radial pressure gradient is (1.3 - 1.1) / (1.5 - 1.0) = 0.4 kPa / m.

[0034] Using the principles of gas fluid dynamics, particularly fluid dynamics equations (such as the Bernoulli equation), the gas flow rate within the plenum is calculated using known axial and radial pressure gradients. The relationship between pressure difference and flow velocity (such as the Bernoulli equation) is exploited to convert pressure gradients into flow velocity. Gas flow rate conversion involves converting known pressure gradient parameters (axial and radial) into gas flow velocity. According to fluid dynamics principles, there is a relationship between gas flow velocity and pressure difference. Using these pressure gradient data, the gas flow rate at different locations within the plenum can be calculated. For example, using fluid dynamics equations, the flow velocity at a specific location within the plenum is calculated by inputting the axial and radial pressure gradient parameters into the Bernoulli equation to obtain the gas flow velocity at that location. By calculating the flow velocity at multiple points within the plenum, the direction and magnitude of the flow velocity at each location are expressed as a flow velocity vector. These multiple flow velocity vectors can be combined into a matrix, known as a flow velocity vector matrix, to describe the gas flow at each location within the plenum. For example, assuming that the flow velocity at the axial position x1 and radial position r1 is v1, the corresponding matrix element is v1; the flow velocity at the axial position x2 and radial position r2 is v2, the corresponding matrix element is v2, and so on, eventually forming a matrix containing the airflow velocities at all positions.

[0035] The velocity vector matrix is ​​a matrix that contains the direction and magnitude of the velocity at each point in the gas collecting chamber. Each element of the matrix represents the velocity vector at a position and contains information about the magnitude and direction of the velocity. The curl operator is a mathematical operator in fluid mechanics that is 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 airflow forms rotation or eddy in certain areas. By applying the curl operator to the velocity vector matrix, the flow velocity curl distribution parameters are calculated. The function of the curl operator is to identify the rotational characteristics in the gas flow, that is, to identify vortices and eddies in the airflow. The intensity, location and range of the vortex will affect the flow characteristics of the gas, especially the efficiency and accuracy of gas extraction in the gas collecting chamber. The flow velocity curl distribution parameters include vorticity intensity parameter, vortex core position parameter, and vortex tube radius parameter. Among them, the vortex intensity parameter indicates 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 vortex, usually the point where the fluid rotation is strongest; the vortex tube radius parameter indicates the size or range of the vortex, usually the boundary of the vortex flow. The larger the radius of the vortex tube, the wider the range of the vortex.

[0036] In other words, the velocity curl distribution parameters are calculated by applying a curl operator to the velocity vector matrix. The curl operator essentially calculates the degree of fluid rotation at each location, describing the vortex characteristics in the flow field. The curl calculation generates a curl vector for each location. The magnitude of this vector represents the vortex strength, while its direction represents the direction of vortex rotation. The vorticity intensity parameter is a key indicator of the velocity curl distribution parameters, indicating the strength of the gas vortex. The vorticity intensity can be obtained by calculating the modulus of the velocity curl. For example, a curl of 2 rad / s in a certain region indicates strong airflow rotation in that area. The vortex core location refers to the core of the vortex, typically the region with the greatest velocity curl. The location of the vortex core is determined by identifying the local maximum of the curl within the entire velocity vector matrix. For example, if the velocity curl reaches its maximum at a certain location (x0, y0, z0), this location is the vortex core. The vortex tube radius defines the effective range of the vortex, that is, the extended area of ​​the vortex in the fluid. The vorticity intensity and vortex core location, combined with local variations in flow velocity, can be used to infer the radius of the vortex. For example, near the vortex core, the curl intensity may reach 3 rad / s, while away from the core, the curl intensity decreases to 0.5 rad / s. The radius of the vortex tube can be estimated from this data.

[0037] Based on the vortex radius parameter, the connected regions around the vortex are identified—those fluid regions affected by the vortex and continuous with the vortex core. For example, if the vortex tube radius is 0.3m, then the connected regions of the vortex are all gas flow regions within a 0.3-meter radius around the vortex core. The vortex core position parameters are verified using the area of ​​the connected regions, generating a position parameter verification result. The accuracy of the vortex core position is verified by comparing data such as the velocity distribution and curl intensity within the vortex tube. For example, if the expected vortex core position is (0, 0, 1), and the test results show that the curl reaches its maximum value at (0, 0, 1), the verification result is passed, indicating that the vortex core position parameters are 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 airflow. The position parameter verification result is an assessment of whether the vortex core position meets expectations through confirmation and verification of the vortex core position.

[0038] According to the verification results of the position parameters, combined with the analysis of the vortex intensity parameters, the gas flow direction is analyzed based on the local changes in the velocity field. In the vortex area, the gas flow usually flows along the direction of rotation, forming an annular or spiral flow structure. Based on the verification results of the vortex intensity parameters and the vortex core position parameters, the velocity field direction of the airflow in the entire gas collecting chamber is drawn. For example, near the vortex core, the velocity direction of the gas is consistent with the direction of the curl, while outside the vortex, the velocity direction may be relatively stable. The velocity field direction data is the spatial distribution data that describes the flow direction of the gas in the gas collecting chamber, which is used to determine the optimal direction of gas extraction. The analysis of the velocity field direction data helps to optimize gas suction and avoid setting the suction point location in an area with weak flow velocity, thereby improving the gas extraction efficiency.

[0039] Based on the position parameter verification results, the vortex tube radius parameter is combined with rendering to determine the vortex's extension. The vortex tube radius parameter describes the distance from the vortex core to the outer flow field boundary and helps identify the physical boundaries of the vortex region. In numerical airflow simulations, rendering of vortex tube structures typically involves combining information about the velocity field, curl field, and vortex region. Rendering techniques visualize the vortex's geometry and flow characteristics. The rendering process creates a three-dimensional model of the vortex region, making the vortex's shape, size, and flow characteristics more intuitive. This allows the dynamic changes of the airflow within the vortex region to be determined, further understanding the airflow distribution and behavior. The rendered vortex tube structure is more than just a visual model; it can also be converted into digital vortex tube structure data, including the spatial distribution of the vortex, velocity distribution, curl intensity, and other parameters related to airflow dynamics. Vortex tube structure data is a collection of data describing the geometric characteristics, flow patterns, and dynamic behavior of the vortex region. It includes information such as vortex size, shape, intensity, and flow direction. It is typically obtained through simulation and calculation and is used to analyze and optimize airflow distribution.

[0040] A dynamic flow field distribution map is constructed based on vortex core position parameters, velocity field direction data, and vortex tube structure data—namely, the core location of the vortex in the airflow, the spatial distribution of the gas flow direction, and the geometry of the vortex tube. Through numerical calculations and visualization methods, the gas flow characteristics are converted into a graphical display. Based on the vortex core position parameters, the vortex core region, typically the area with the highest velocity, is demarcated. Combined with the velocity field direction data, the main direction of the gas flow is marked on the flow field map, forming a directional distribution of the flow field. Based on the vortex tube structure data, the vortex morphology and rotational characteristics are depicted, forming a three-dimensional vortex structure. The rotational characteristics of the airflow are typically displayed using streamlines or isosurfaces. For example, in an airflow analysis of a plenum, the vortex core position parameters are obtained: the vortex core position is (0, 0, 1); the velocity field direction data shows that the velocity direction in the vortex core region is primarily along the vortex rotation direction, while the velocity direction in the outer region tends to be stable; and the vortex tube structure data shows that the vortex radius is 0.3 meters and the vortex intensity is 3 rad / s. Using this data, a dynamic flow field distribution diagram was generated, showing that the vortex region is a circular area with a radius of 0.3 meters, within which the airflow flows in the direction of rotation. Around the periphery of the vortex, the airflow tends to flow horizontally, and the velocity gradually decreases. The vortex core position (0,0,1) is the point of maximum velocity, and the velocity direction diagram clearly illustrates the changes in the airflow.

[0041] By accurately calculating the vortex intensity, vortex core position and vortex tube radius, we can fully understand the airflow structure of the gas collecting chamber, obtain the distribution parameters of gas flow velocity, rotation and vortex tube structure, and construct a dynamic flow field distribution map of the gas collecting chamber of the gas relay, thereby improving the efficiency and purity of gas extraction.

[0042] S200: Calculating turbulence intensity based on the dynamic flow field distribution map to identify a gas accumulation core area.

[0043] Furthermore, the present application S200 includes:

[0044] The dynamic flow field distribution diagram is traversed to extract vortex field data and velocity field data; local turbulence calculation is performed based on the vortex field data and the velocity field data to determine a local turbulence intensity data set; velocity determination and identification are performed based on the local turbulence intensity data set, and a high turbulence area is obtained based on the identification result; vortex is solved based on the high turbulence area to determine the vortex gradient parameter, coordinate points are located according to the vortex gradient parameter, and candidate vortex core centers are generated; gas aggregation is determined according to the candidate vortex core centers, and the gas aggregation core area is identified and determined.

[0045] Specifically, the dynamic flow field distribution map is traversed to extract the vortex field data and velocity field data of each area. The vortex field data is a data set that describes the rotation or vortex characteristics in the fluid. Vorticity is a measure of rotational motion in the fluid and is usually used to identify vortex areas or rotational behavior in the fluid. The velocity field data describes the flow velocity distribution of the fluid at different spatial points, usually expressed in vector form, including the magnitude and direction of the flow velocity. For example, through the dynamic flow field distribution map, the flow velocity at a certain location is 2m / s and the vortex is 0.5rad / s.

[0046] Based on the vortex field data and velocity field data, local turbulence calculation is performed. Turbulence calculation involves analyzing the fluctuation of flow velocity to determine which areas have turbulent phenomena. Turbulence intensity is usually represented by the fluctuation of flow velocity. For example, areas with large standard deviation of flow 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 gradient or other factors in a small area of ​​the fluid. The turbulence intensity dataset is a data set that describes the turbulence intensity in the fluid. Turbulence intensity is usually quantified by the magnitude of flow 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.

[0047] High turbulence areas are identified by analyzing local turbulence intensity datasets. The turbulence intensity of different areas in the gas collecting chamber is analyzed using the local turbulence intensity dataset. The turbulence intensity value of each data point represents the degree of instability of the flow at that point. The preset threshold is determined based on experimental data or previous experience to determine which areas have turbulence intensities exceeding the preset threshold. For example, assuming the preset threshold is 1.0, if the turbulence intensity of a certain area is 1.5 or higher, then the area will be marked as a high turbulence area. Conversely, areas with turbulence intensity below the threshold are considered to be low turbulence areas. High turbulence areas are areas in the airflow where the turbulence intensity is high and the flow velocity fluctuates violently. They often exhibit stronger irregular flow characteristics, which may affect the accuracy and efficiency of gas extraction.

[0048] The vorticity of the high turbulence area is solved to determine the vorticity gradient parameters of the vortex area. The vorticity is calculated by the curl (rotation) of the velocity field. The curl describes the tendency of the fluid element to rotate around itself. Therefore, the vorticity value of each position point can be solved by the velocity field data in the high turbulence area. For example, in a high turbulence area in the plenum, the velocity field at a certain position is: v = (2.5m / s, 1.2m / s, 0.8m / s). Using the curl operator, the vorticity of 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, assuming that in a high turbulence region, the change in the vorticity field is manifested as the following changes in vorticity in the x, y, and z directions respectively: , , ,in, is the vorticity in the x direction, is the vorticity in the x direction, is the vorticity in the x direction, so the vorticity gradient is (0.2s -2 , -0.1s -2 , 0.05s -2 ). The vorticity gradient data reveals the changes in the center area of ​​the vortex. Through the vorticity gradient, the core area of ​​the vortex, that is, the location of the vortex core center, is located. The area with a larger vorticity gradient usually indicates the vortex core area, so the location with the largest vorticity change rate is selected to determine the vortex core. For example, if in a certain area, the rate of change of the vorticity gradient in the x direction is the largest (assuming ), assuming the vortex core is located at the location with the strongest vorticity change in that direction, this becomes the candidate vortex core center. Assume that the location of the point with the maximum vorticity change in the high turbulence region within the plenum chamber is determined by vorticity gradient data and is the coordinate (x=3.0m, y=2.5m, z=1.0m). This coordinate is used as the candidate vortex core center coordinate.

[0049] By calculating the vorticity gradient and locating coordinate points, a series of regions with large vorticity gradients are identified as candidate vortex core centers. The vortex core center is the center of a vortex in the flow field and is typically the location with the highest rotational velocity in the flow. In a vortex, airflow rotates around the vortex core, which is the core area of ​​gas accumulation. Gas accumulation is determined based on the candidate vortex core centers to determine whether gas is concentrated at that location. Gas accumulation typically manifests as an area with low flow velocity, high gas concentration, and strong vorticity. The vortex core region itself is the center of the vortex structure, where gas tends to stagnate and accumulate. A search region is set around the candidate vortex core center. The size of this region is generally related to the strength and scale of the vortex. Assume that the radius of this search region is r. Analyze the gas flow characteristics within this region, particularly gas concentration, flow velocity, and pressure. If the gas concentration in this region is significantly higher than in other regions, it is considered a gas accumulation region. Determine whether airflow stagnation exists in this region. Low flow velocity and prolonged gas residence time in this region often indicate gas accumulation.

[0050] Based on the determined gas accumulation, the core area of ​​the accumulation is identified. The core area of ​​the accumulation is not just a coordinate point, but usually has a certain spatial range. The gas accumulation core area is the area where gas accumulates in space due to the action of flow and vortex. The gas concentration is usually high and suitable for effective extraction. By accurately identifying high turbulence areas and gas accumulation core areas, the gas extraction strategy of the gas relay is optimized to ensure that gas is extracted from high-concentration areas in a timely and effective manner; by dynamically identifying vortices and turbulent areas, it helps to monitor the gas accumulation trend in real time, especially for irregular airflow and vortex situations, which can effectively prevent safety hazards caused by gas stagnation.

[0051] S300: extracting a plurality of spatial coordinates according to the gas gathering core area, controlling a multi-stage air bleed pipeline to perform directional suction according to the plurality of spatial coordinates, and obtaining a gas suction result.

[0052] Furthermore, the present application S300 includes:

[0053] Traverse the gas gathering core area and make random selections to extract multiple spatial coordinates; retrieve the device structure information of the gas relay and construct an air bleed pipe coordinate system according to the device structure information; map the multiple spatial coordinates to the air bleed pipe coordinate system to perform servo control on the air bleed pipe and determine the horizontal rotation angle and the pitch angle; set the exhaust negative pressure parameters based on the turbulence intensity data of the gas gathering core area; activate the multi-stage air bleed pipe based on the exhaust negative pressure parameters to perform directional suction according to the horizontal rotation angle and the pitch angle to obtain the gas suction result.

[0054] Specifically, the core area of ​​gas accumulation is traversed, and multiple spatial coordinates are randomly selected to represent the locations of gas accumulation. Each coordinate point corresponds to a specific location in the gas flow. The device structure information of the gas relay is obtained, namely the structural design and layout information of the gas relay, including the relative position, size, and pipeline design of the gas collecting chamber and the air bleed pipe. Based on the device structure information of the gas relay, a bleed pipe coordinate system is constructed, including the layout, installation angle, and pipeline position of all bleed pipes within the equipment. The suction point coordinates are mapped to the bleed pipe coordinate system using this structural information to determine the specific location of the suction point in the pipeline.

[0055] Multiple spatial coordinates are mapped to the bleed air duct coordinate system and converted to positions relative to the bleed air duct coordinate system, enabling the corresponding suction points to be located in the actual bleed air duct position. The rotation angle of the bleed air duct is adjusted using servo control. Based on the relative position of each suction point, the required horizontal rotation and pitch angles are calculated to precisely adjust the duct orientation. The horizontal rotation angle is determined by calculating the relationship between the mapped spatial coordinates and the bleed air duct origin. The horizontal rotation angle refers to the angle by which the bleed air duct rotates about the vertical axis, determining the duct's azimuth and thus affecting the direction of the airflow. The required pitch angle is calculated by calculating the height difference between the spatial coordinates and the origin. The pitch angle refers to the angle by which the bleed air duct rotates about the horizontal axis, controlling the duct's vertical orientation (up / down) and affecting the height of the airflow. For example, assume the spatial coordinate point is (5, 3, 2) and the origin in the bleed air duct coordinate system is (0, 0, 1). Based on the equipment structure information, the bleed air duct is adjusted to point to this point. Calculating the horizontal rotation angle: Assuming the point is directly in front of the device, the calculated horizontal rotation angle is 30°. Calculating the pitch angle: Since the altitude of the point is 2 units and the altitude of the device origin is 0 units, the pitch angle is 15°.

[0056] Based on the turbulence intensity data of the gas concentration core area, set the appropriate vacuum parameters for the extraction. Areas with higher turbulence intensity generally require a larger vacuum value to ensure that the gas can be effectively extracted. For example, in areas with higher turbulence intensity (turbulence intensity greater than 0.8), set a higher vacuum value (such as -12kPa) to better extract the gas; while in areas with lower turbulence (turbulence intensity less than or equal to 0.5), set a lower vacuum value (such as -6kPa) to avoid excessive extraction and inefficiency.

[0057] Based on the set negative pressure parameters and the rotation angle of the bleed air line, the multi-stage bleed air system is activated to perform directional suction. The negative pressure and suction angle (horizontal rotation angle and pitch angle) of each stage are adjusted according to the airflow characteristics of different areas. Under the control of the multi-stage bleed air system, each duct performs directional suction according to the set negative pressure and angle. Monitoring and feedback are provided based on the gas suction results to ensure accurate and effective gas suction and avoid gas extraction from ineffective areas. Sensors monitor the gas concentration and pressure at the suction point to determine whether the set targets are met. If the suction result meets the expected standard (for example, the gas concentration meets the required standard), the system continues to operate. If the suction effect is poor, the negative pressure or angle is adjusted and suction is repeated until the desired suction result is achieved. The multi-stage bleed air system consists of multiple ducts, each of which can suction gas from different areas to improve the efficiency and accuracy of gas extraction.

[0058] By setting the vacuum pressure based on the turbulence intensity data of the gas concentration core area, and combining it with precise spatial coordinate mapping and servo control systems, the suction efficiency and accuracy of the gas extraction from the Buchholz relay are improved. This dynamically responds to changes in gas flow and ensures that gas is efficiently extracted from high-concentration areas, thereby optimizing gas extraction effect and purity.

[0059] S400: 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 achieve intelligent gas extraction optimization of the Buchholz relay.

[0060] Furthermore, the present application S400 includes:

[0061] Based on the gas suction result, gas-liquid-solid three-phase separation is performed to generate a separation result, and purification measurement is performed according to the separation result to generate purified gas parameters; a chromatographic analysis module is constructed, and the purified gas parameters are imported into the chromatographic analysis module to perform purity detection and determine the gas purity vector; purity deviation calculation is performed based on the gas purity vector to generate a purity deviation value; momentum is updated for the multiple spatial coordinates of the gas aggregation core area according to the purity deviation value to determine multiple spatial correction coordinates; multi-stage air bleed pipelines are controlled to perform redirected suction according to the multiple spatial correction coordinates, and the suction results are fed back to the chromatographic analysis module for closed-loop optimization, thereby realizing intelligent gas extraction optimization of the gas relay.

[0062] The gas suction result is passed into a centrifugal-ultrasonic coupling separation chamber to perform gas-liquid-solid three-phase separation: A1: the rotation speed parameter of the centrifugal-ultrasonic coupling separation chamber is set according to the gas density parameter of the gas suction result, and the rotation speed parameter is executed to obtain centrifugal acceleration; A2: an ultrasonic standing wave field is applied based on the centrifugal acceleration to enhance solid-phase separation and obtain a solid-phase separation result; A3: an ultrasonic standing wave field is applied based on the centrifugal acceleration to perform liquid phase recovery control and obtain a liquid phase separation result; A4: real-time gas detection and analysis is performed based on the gas phase outlet to obtain a gas phase separation result; purification measurement is performed based on the solid phase separation result, the liquid phase separation result, and the gas phase separation result to generate the purified gas parameter.

[0063] An injection unit is constructed 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; a separation unit is constructed 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; bidirectional detectors are connected 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; a control unit is constructed to perform data backtracking and real-time carrier gas compensation, and the output end of the control unit is the output end of the chromatographic analysis module.

[0064] Specifically, the centrifugal-ultrasonic coupling separation chamber is a separation device that integrates centrifugal force and ultrasonic vibrations. It uses centrifugal force to separate substances based on density differences, while using ultrasonic waves to enhance the separation of solid and liquid phases. The gas suction results are passed into the centrifugal-ultrasonic coupling 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. Typically, the gas is discharged through the gas phase outlet, and the liquid and solid are recovered separately. By separating the gas, liquid, and solid phases through centrifugal and ultrasonic coupling, high-purity gas is separated from the gas sucked by the gas relay.

[0065] According to the gas density parameters of the gas suction results, the speed parameters of the centrifugal-ultrasonic coupling separation chamber are 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 speed, the separation effect of gas from solids and liquids can be optimized. For example, assuming that the gas density in the suction result is 1.2kg / m³ (higher than the standard gas density), the speed of the centrifugal separation chamber is set to 5000rpm based on this density. At this speed, the centrifugal force reaches approximately 1500g. According to the set speed parameters, the centrifugal acceleration is calculated. The magnitude of the centrifugal acceleration is determined by the speed and the radius of the separation chamber. Centrifugal acceleration refers to the acceleration generated by the rotation of an object. It is a key parameter used to separate mixtures. The greater the centrifugal acceleration, the better the separation effect of the substance. For example, assuming that the radius of the separation chamber r = 0.3 m and the speed N = 5000 rpm; the speed is converted into angular velocity as ω = 2π × 5000 / 60 = 523.6 rad / s;

[0066] Centrifugal acceleration is a=ω 2 r = (523.6) 2 ⋅0.3=82320.6m / s 2This centrifugal acceleration (approximately 82320.6 m / s²) is effective for separating solid or liquid materials from gases, particularly high-density materials. Based on the set speed and equipment characteristics, the speed parameters are executed, rotation begins, and centrifugal acceleration is generated. At this point, the materials within the centrifugal-ultrasonic coupling separation chamber are separated based on density differences.

[0067] The centrifugal-ultrasonic coupling separation chamber is started and rotated at a set speed to generate centrifugal acceleration. During centrifugal separation, an ultrasonic standing wave field is applied. The frequency, amplitude and wavelength of the ultrasonic wave 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 from liquids or gases more effectively through mechanical vibration, bubble bursting and other effects. Depending on the size and density of the solid particles, the frequency of the ultrasonic wave is usually selected in the range of 20kHz to 200kHz. Lower frequency ultrasonic waves can excite the movement of larger particles, while high frequencies are suitable for the separation of smaller particles. The standing wave field produces a stable fluctuation pattern in the separation chamber. The positive and reverse waves of the ultrasonic wave combine to produce a strong vibration on the solid particles, which helps to promote the outward movement of the solid particles under the action of centrifugal force, thereby improving the separation efficiency of the solid.

[0068] After applying the ultrasonic standing wave field, the vibrations to the solid particles become more intense, thereby enhancing their separation effect. Enhanced solid-phase separation refers to the effective extraction of solid matter from the mixture during the separation process. During the centrifugal separation process, the introduction of an ultrasonic standing wave field can increase the kinetic energy of the solid matter, helping the solids to be separated faster and more efficiently. The solid-phase separation result refers to the result of removing solid particles or impurities from gases or liquids through separation equipment. It is used to remove solid particles, suspended matter, or other solid impurities to ensure that the purity of the gas or liquid meets the requirements.

[0069] By applying an ultrasonic standing wave field based on centrifugal acceleration, liquid phase recovery control is performed, stimulating tiny bubbles and particles within the liquid, enhancing the liquid's fluidity, and enabling heavier liquid components (such as suspended particles) to be separated more quickly. By applying centrifugal acceleration and an ultrasonic standing wave field, the liquid phase separation effect is further optimized, effectively separating the lighter and heavier components in the liquid, and extracting and retaining the desired liquid phase components. Liquid phase separation results refer to the separation of liquid components from a mixture and are typically used to remove impurities, moisture, or other unwanted liquid components from a liquid.

[0070] The gas phase outlet refers to an outlet channel in the separation device, which is used for the discharge or collection of gas after separation. A gas sensor is installed at the gas phase outlet to capture various parameters in the gas in real time, such as gas concentration, flow rate, pressure, etc. The gas parameters detected in real time by the gas sensor are analyzed to analyze the quality of the gas and determine whether the gas separation has achieved the expected effect, that is, to determine whether there are impurities in the gas that have not been separated completely, or whether the gas concentration meets the preset standard. Based on real-time gas detection and analysis, the gas phase separation results are output, that is, the quality and purity data of the separated gas obtained by the separation equipment, including the concentration of each component in the gas, separation efficiency, etc., which are usually used to evaluate the separation effect and gas quality.

[0071] Based on the results of solid, liquid, and gas phase separation, purified gas measurements are performed. This means that the separation results are analyzed to assess whether the gas meets purity standards. Examples include CO2 concentration in the gas phase, moisture content in the liquid phase, and particulate matter content in the solid phase. Based on the separation results of different phases and combined with different purification objectives, the effectiveness of the entire separation and purification process is comprehensively evaluated. Based on the purification measurement results, purified gas parameters are output, including gas component concentration, gas purity, and gas separation efficiency.

[0072] 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 controlled 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. The sample is introduced into the chromatographic analysis module through the injection port. The injection unit needs to ensure that the sample is introduced stably within a given time window without affecting the separation efficiency of the chromatographic column. The output end of the injection unit is connected to the input end of the separation unit to ensure that the flow rate and flow of the sample meet the requirements of the analysis module and do not adversely affect the sample separation process. In liquid or gas chromatography, the separation unit is usually a chromatographic column.

[0073] The separation unit utilizes a dual-column structure, which improves separation efficiency and effectiveness, making it suitable for separating complex samples. The dual columns separate components based on their physical or chemical properties. Separation efficiency and resolution directly impact the quality of gas analysis. Selecting the appropriate dual column based on sample characteristics improves separation precision and prevents interference between sample components. Adjusting the column flow rate and temperature based on the sample's properties optimizes separation. The appropriate packing material is selected based on the characteristics of the gas sample being analyzed. For example, a polar column is used to separate polar compounds, while a non-polar column is suitable for separating non-polar compounds. Dual columns typically operate at different temperatures, requiring temperature and flow rate adjustments to achieve optimal separation efficiency. Different temperature and flow rate settings can affect separation performance. The output of the separation unit communicates with the input of the detection unit, allowing the separated components to be directly fed into the detection unit for analysis. When connecting the two, ensure accurate and stable signal transmission to avoid signal loss or interference.

[0074] 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 connected in parallel, which can simultaneously detect signals of different wavelengths, thereby improving the sensitivity and range of detection. A bidirectional detector is a device that can simultaneously detect and respond to changes in multiple directions or multiple substances. 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 acquisition channels, double verification of the data is ensured. The detection unit detects each component after separation and transmits the output data to the control unit.

[0075] Connecting bidirectional detectors in parallel enhances the overall capabilities of the detection unit, especially for analytical tasks requiring high sensitivity and precision. This parallel connection allows for simultaneous capture of different signal information and processing of multiple components from the sample. The type of bidirectional detector selected depends on the analytical requirements. Common detectors include thermal conductivity detectors (TCDs) and flame ionization detectors (FIDs), with the specific choice depending on the nature of the sample being analyzed. Bidirectional detectors are connected via appropriate interfaces to ensure that each detector can independently acquire data and transmit it to the control unit.

[0076] The output of the detection unit is connected to the input of the control unit, ensuring that every detected signal is promptly transmitted to the control unit. Based on the received signal data, the control unit analyzes, processes, and controls other chromatographic analysis processes (such as data backtracking and carrier gas compensation). The control unit is responsible for data backtracking and real-time carrier gas compensation to ensure analysis accuracy and stability. The control unit first receives data from the detection units connected in parallel with bidirectional detectors, identifies and records current gas composition trends, and generates real-time analysis data. The data backtracking function allows users to review historical data from past periods in the event of unexpected or unstable measurement results, reviewing and adjusting the analysis process to avoid erroneous results caused by measurement errors. If an anomaly occurs (such as an abnormal signal or detection error), the control unit can backtrack to a specific time point based on preset conditions, review all data from that period, verify parameter settings and signal processing logic, and adjust operations. This backtracking function identifies potential issues and allows adjustments to parameters such as carrier gas flow rate and column temperature to ensure consistency in the analysis process.

[0077] The control unit first detects changes in carrier gas flow in real time and obtains real-time data through the flow sensor. Based on the detected flow changes, the control unit automatically adjusts the carrier gas flow or pressure by controlling valves, pumps and other hardware to ensure that they are always within the set range. Carrier gas compensation is a key part of ensuring analytical accuracy during chromatographic separation. Changes in carrier gas flow usually affect the separation effect of the chromatographic column, so real-time adjustments are required to maintain 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. The final results are output and displayed in the form of charts, numerical values, etc.

[0078] The purified gas parameters obtained through gas-liquid-solid three-phase separation and purification are imported into the chromatographic analysis module. The chromatographic analysis module uses its built-in detection algorithm to perform purity detection, analyze the concentration of each component in the gas, and generate a gas purity vector. For example, assume that the purified gas contains oxygen, nitrogen, and methane. The chromatographic analysis module analyzes the component data of the gas sample and generates the following gas purity vector:

[0079] O2 = 95%, N2 = 4.5%, CH4 = 0.5%. A gas purity vector is generated based on the results of a gas composition analysis. It represents the purity or concentration distribution of each component in a gas sample. Typically, a gas purity vector consists of multiple data points, each representing the relative concentration of a different component in the gas.

[0080] Based on the generated gas purity vector, the deviation between the actual gas purity and the expected target purity is calculated to obtain the purity deviation value. Purity deviation calculation compares the difference between the actual gas purity vector and the expected purity vector to obtain a deviation value, which helps to measure whether the gas purity meets the expected requirements. For example, assuming the target purity is O2 = 98%, N2 = 1%, and CH4 = 0%, the purity deviation values ​​are: 3% for oxygen, 3.5% for nitrogen, and 0.5% for methane, for an overall purity deviation of 2.33%.

[0081] Based on the purity deviation value, momentum is updated for multiple spatial coordinates within the core gas concentration area, adjusting the direction and range of gas extraction based on the purity deviation. If the gas purity in a certain area is low, the gas extraction path is adjusted based on the deviation value, allowing the air bleed pipe to more effectively extract high-concentration gas. Momentum update adjusts coordinates based on the size of the purity deviation value to optimize the gas extraction path, ensuring that the extracted gas is closer to the target purity. Momentum update can be simulated using simple physical formulas, such as: 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 i is the current spatial coordinate. To ensure update stability, the adjustment factor α is typically less than 1 and is adjusted based on experimental results. Typical values ​​range from 0.1 to 0.5. Excessively large α can result in overly drastic coordinate updates, potentially causing instability. After the momentum update, all spatial coordinates are adjusted so that the new coordinates more closely match the high-gas concentration area of ​​the target region. These corrected coordinates provide a more accurate bleed path.

[0082] Based on the updated spatial coordinates, the multi-stage bleed air pipeline's path is adjusted to more effectively extract gas from the target area. The bleed air pipeline's rotation angle, pitch angle, and position are appropriately adjusted to ensure accurate extraction from the latest spatial coordinates. Spatially corrected coordinates are the new coordinates after the momentum update. These coordinates are corrected using a specific control algorithm to optimize the gas extraction path and efficiency, ensuring efficient extraction from the core area of ​​gas accumulation.

[0083] Based on the updated multiple spatial correction coordinates, the multi-stage air bleed pipeline is controlled and directional extraction is re-performed. The angle, position, and suction strength of each stage of the pipeline are adjusted based on the updated multiple spatial correction coordinates to ensure that the gas in the core area of ​​gas accumulation can be accurately extracted. 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 air bleed pipeline will be fed back to the chromatographic analysis module, and the gas composition and purity will be re-analyzed based on the new suction results. Through closed-loop feedback, the gas extraction and purification process is optimized in real time to ensure that the target gas purity gradually approaches the preset value. Through intelligent control and feedback mechanisms, the gas extraction path of the gas relay is optimized to ensure that it extracts the purest and most efficient gas from the gas accumulation area, avoiding ineffective suction and energy waste.

[0084] By implementing purity testing, deviation calculation, spatial coordinate momentum updates, and multi-stage bleed air pipeline re-direction, the gas extraction process of the Buchholz relay is intelligently optimized. This closed-loop optimization mechanism ensures continuous improvement in gas purity, while dynamic adjustment of spatial coordinates and extraction paths enhances gas extraction efficiency and accuracy, improving not only gas purity but also intelligence and automation.

[0085] In summary, the gas extraction method for a gas relay based on gas flow analysis provided in this application has the following beneficial effects:

[0086] By monitoring the air flow fluctuations in the gas collecting chamber of the gas relay in real time, a dynamic flow field distribution map is constructed; based on the dynamic flow field distribution map, turbulence intensity is calculated to identify the core area of ​​gas accumulation; multiple spatial coordinates are extracted based on the core area of ​​gas accumulation, and directional suction is controlled in accordance with the multiple spatial coordinates to obtain gas suction results; three-phase separation is performed according to the gas suction results to generate purified gas parameters, which are imported into the chromatographic analysis module for purity detection, and the multiple spatial coordinates are updated according to the detection results to achieve intelligent gas extraction optimization of the gas relay. In other words, by real-time monitoring of gas flow fluctuations in the gas collecting chamber 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 bleed pipeline are dynamically controlled to achieve efficient gas-liquid-solid three-phase separation; and optical purity detection is used to improve the efficiency and purity of gas extraction.

[0087] In the second embodiment, based on the same inventive concept as the gas extraction method of the gas relay based on gas flow analysis in the first embodiment, the present application also provides a gas extraction system of the gas relay based on gas flow analysis, see the attached Figure 2 The gas outlet system of the gas relay based on gas flow analysis includes:

[0088] The air flow fluctuation monitoring module 11 is used to perform real-time air flow fluctuation monitoring on the gas collecting chamber of the gas relay and construct a dynamic flow field distribution diagram; the turbulence intensity calculation module 12 is used to perform turbulence intensity calculation based on the dynamic flow field distribution diagram and identify the gas accumulation core area; the directional suction module 13 is used to extract multiple spatial coordinates according to the gas accumulation core area, control the multi-stage air bleed pipeline to perform directional suction according to the multiple spatial coordinates, and obtain gas suction results; the purity detection module 14 is used to perform three-phase separation according to the gas suction results, 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 results to realize the intelligent gas extraction optimization of the gas relay.

[0089] Furthermore, the air flow fluctuation monitoring module 11 in the gas outlet system of the gas relay based on gas flow analysis is also used to: arrange a pressure sensor array on the gas collecting chamber of the gas relay, collect pressure through the pressure sensor array, and obtain a pressure sensing data set of the gas collecting chamber; perform axial analysis on the gas collecting chamber based on the pressure sensing data set to obtain axial pressure gradient parameters; perform radial analysis on the gas collecting chamber based on the pressure sensing data set to obtain radial pressure gradient parameters; perform gas flow velocity conversion according to the axial pressure gradient parameters and the radial pressure gradient parameters to construct a flow velocity vector matrix; perform vortex calculation on the flow velocity vector matrix to determine the flow velocity curl distribution parameters, and construct the dynamic flow field distribution diagram according to the flow velocity curl distribution parameters.

[0090] Furthermore, the airflow fluctuation monitoring module 11 in the gas outlet system of the gas relay based on gas flow analysis is also used to: perform calculations based on the flow velocity vector matrix in combination with the curl operator to obtain flow velocity curl distribution parameters, and the flow velocity curl distribution parameters include vortex intensity parameters, vortex core position parameters, and vortex tube radius parameters; identify the area of ​​the connected area according to the vortex tube radius parameters, verify the vortex core position parameters based on the area of ​​the connected area, and generate a position parameter verification result; analyze the position parameter verification result in combination with the vortex intensity parameters to determine the flow velocity field direction data; render the position parameter verification result in combination with the vortex tube radius parameters to obtain vortex tube structure data; and construct the dynamic flow field distribution diagram according to the vortex core position parameters, the flow velocity field direction data, and the vortex tube structure data.

[0091] Furthermore, the turbulence intensity calculation module 12 in the gas outlet system of the gas relay based on gas flow analysis is also used to: traverse the dynamic flow field distribution diagram to extract vortex field data and flow velocity field data; perform local turbulence calculation based on the vortex field data and the flow velocity field data to determine the local turbulence intensity data set; perform flow velocity determination and identification based on the local turbulence intensity data set, and obtain a high turbulence area based on the identification result; perform vortex solution based on the high turbulence area to determine the vortex gradient parameter, locate the coordinate point according to the vortex gradient parameter, and generate a candidate vortex core center; determine gas aggregation according to the candidate vortex core center, and identify and determine the gas aggregation core area.

[0092] Furthermore, the directional suction module 13 in the gas outlet system of the gas relay based on gas flow analysis is also used to: traverse the gas gathering core area for random selection and extract multiple spatial coordinates; retrieve the device structure information of the gas relay and construct an air bleed pipeline coordinate system according to the device structure information; map the multiple spatial coordinates to the air bleed pipeline coordinate system to perform servo control on the air bleed pipeline and determine the horizontal rotation angle and the pitch angle; set the exhaust negative pressure parameters based on the turbulence intensity data of the gas gathering core area; activate the multi-stage air bleed pipeline based on the exhaust negative pressure parameters to perform directional suction according to the horizontal rotation angle and the pitch angle to obtain the gas suction result.

[0093] Furthermore, the purity detection module 14 in the gas outlet system of the gas relay based on gas flow analysis is also used to: 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 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 air duct to perform redirected suction according to the multiple spatial correction coordinates, and feed back the suction results to the chromatographic analysis module for closed-loop optimization to achieve intelligent gas outlet optimization of the gas relay.

[0094] Furthermore, the purity detection module 14 in the gas outlet system of the gas relay based on gas flow analysis is also used to: pass the gas suction result into the centrifugal-ultrasonic coupling separation chamber to perform gas-liquid-solid three-phase separation: A1: set the speed parameter of the centrifugal-ultrasonic coupling separation chamber according to the gas density parameter of the gas suction result, execute the speed parameter, and obtain 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 perform liquid phase recovery control 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 based on the solid phase separation result, the liquid phase separation result, and the gas phase separation result to generate the purified gas parameter.

[0095] Furthermore, the purity detection module 14 in the gas outlet system of the gas relay based on gas flow analysis is also used to: 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 double chromatographic column structure, and the output end of the separation unit is communicatively connected to the input end of the detection unit; connect bidirectional 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 real-time carrier gas compensation for data backtracking, and the output end of the control unit is the output end of the chromatographic analysis module.

[0096] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The gas outlet method of the gas relay based on gas flow analysis and the specific examples in Example 1 are also applicable to the gas outlet system of the gas relay based on gas flow analysis in this embodiment. Through the above detailed description of the gas outlet method of the gas relay based on gas flow analysis, those skilled in the art can clearly understand the gas outlet system of the gas relay based on gas flow analysis in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0097] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0098] Obviously, for those skilled in the art, several improvements and modifications can be made to the present application without departing from the principles of the present application, and these improvements and modifications also fall within the scope of protection of the present application.

Claims

1. A gas extraction method for a gas relay based on gas flow analysis, characterized in that: include: Monitor the airflow fluctuations in the gas collecting chamber of the Buchholz relay in real time and construct a dynamic flow field distribution map; Calculating turbulence intensity based on the dynamic flow field distribution map to identify the gas accumulation core area includes: Traversing the dynamic flow field distribution diagram to extract vortex field data and flow velocity field data; Performing local turbulence calculation based on the vortex field data and the velocity field data to determine a local turbulence intensity data set; Performing flow velocity identification based on the local turbulence intensity data set, and obtaining a high turbulence area based on the identification result; performing vorticity calculation based on the high turbulence region, determining vorticity gradient parameters, locating coordinate points according to the vorticity gradient parameters, and generating candidate vortex core centers; Determining gas accumulation according to the candidate vortex core center, and identifying and determining the gas accumulation core area; Extracting multiple spatial coordinates based on the gas gathering core area, controlling the multi-stage air bleed pipeline to perform directional suction according to the multiple spatial coordinates, and obtaining a gas suction result; Three-phase separation is performed according to the gas suction results to generate purified gas parameters, the purified gas parameters are imported into a chromatographic analysis module for purity detection, and the multiple spatial coordinates are updated according to the detection results to achieve intelligent gas extraction optimization of the Buchholz relay.

2. The gas extraction method for a gas relay based on gas flow analysis according to claim 1, characterized in that: Monitor the airflow fluctuations in the gas collecting chamber of the Buchholz relay in real time and construct a dynamic flow field distribution diagram, including: Arranging a pressure sensor array on 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 an axial analysis on the plenum chamber based on the pressure sensing data set to obtain an axial pressure gradient parameter; performing radial analysis on the plenum chamber based on the pressure sensing data set to obtain radial pressure gradient parameters; 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; The velocity vector matrix is ​​subjected to vortex calculation to determine velocity curl distribution parameters, and the dynamic flow field distribution diagram is constructed according to the velocity curl distribution parameters.

3. The gas extraction method for a gas relay based on gas flow analysis according to claim 2, characterized in that: Calculating the vorticity of the velocity vector matrix to determine velocity curl distribution parameters, and constructing the dynamic flow field distribution map according to the velocity curl distribution parameters, including: Calculating based on the velocity vector matrix in combination with a curl operator to obtain velocity curl distribution parameters, wherein the velocity curl distribution parameters include vorticity intensity parameters, vortex core position parameters, and vortex tube radius parameters; Identifying the area of ​​the connected region according to the vortex tube radius parameter, verifying the vortex core position parameter based on the area of ​​the connected region, and generating a position parameter verification result; Analyze the position parameter verification result in combination with the vorticity intensity parameter to determine the velocity field direction data; Rendering is performed based on the position parameter verification result in combination with the vortex tube radius parameter to obtain vortex tube structure data; The dynamic flow field distribution diagram is constructed according to the vortex core position parameters, the flow velocity field direction data, and the vortex tube structure data.

4. The gas extraction method for a gas relay based on gas flow analysis according to claim 1, characterized in that: Extracting multiple spatial coordinates according to the gas gathering core area, controlling the multi-stage air bleed pipeline to perform directional suction according to the multiple spatial coordinates, and obtaining a gas suction result, including: Traversing the gas accumulation core area to perform random selection and extract multiple spatial coordinates; Retrieving device structure information of the gas relay, and constructing an air bleed pipeline coordinate system according to the device structure information; Mapping the multiple spatial coordinates to the air bleed line coordinate system to perform servo control on the air bleed line, and determining the horizontal rotation angle and the pitch angle; The vacuum pressure parameters are set based on the turbulence intensity data of the gas gathering core area; Based on the suction negative pressure parameter, the multi-stage air bleed pipeline is activated to perform directional suction according to the horizontal rotation angle and the pitch angle to obtain the gas suction result.

5. The gas extraction method for a gas relay based on gas flow analysis according to claim 1, characterized in that: Performing three-phase separation according to the gas extraction 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 achieve intelligent gas extraction optimization of the Buchholz relay, including: performing gas-liquid-solid three-phase separation based on the gas pumping result to generate a separation result, performing purification measurement according to the separation result to generate purified gas parameters; Constructing a chromatographic analysis module, importing the purified gas parameters into the chromatographic analysis module to perform purity detection and determine a gas purity vector; Performing purity deviation calculation based on the gas purity vector to generate a purity deviation value; Performing momentum update on the plurality of spatial coordinates of the gas accumulation core region according to the purity deviation value to determine a plurality of spatial correction coordinates; The multi-stage air bleed pipeline is controlled to perform redirected suction according to the multiple spatial correction coordinates, and the suction results are fed back to the chromatographic analysis module for closed-loop optimization, thereby realizing intelligent gas extraction optimization of the Buchholz relay.

6. The gas extraction method for a gas relay based on gas flow analysis according to claim 5, characterized in that: Performing gas-liquid-solid three-phase separation based on the gas suction result to generate a separation result, performing purification measurement according to the separation result to generate purified gas parameters, including: The gas suction result is passed into the centrifugal-ultrasonic coupling separation chamber to perform gas-liquid-solid three-phase separation: A1: setting a rotation speed parameter of the centrifugal-ultrasonic coupling separation chamber according to the gas density parameter of the gas suction result, executing the rotation speed parameter to obtain centrifugal acceleration; A2: applying an ultrasonic standing wave field based on the centrifugal acceleration to enhance solid-phase separation and obtain a solid-phase separation result; A3: applying an ultrasonic standing wave field based on the centrifugal acceleration to perform liquid phase recovery control to obtain a liquid phase separation result; A4: Perform real-time gas detection and analysis based on the gas phase outlet to obtain gas phase separation results; Purification measurement is performed according to the solid phase separation result, the liquid phase separation result, and the gas phase separation result to generate the purified gas parameters.

7. The gas extraction method for a gas relay based on gas flow analysis according to claim 5, characterized in that: The process of building a chromatography analysis module includes: Constructing a sampling unit as a data input channel, wherein 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; A separation unit is constructed based on a double chromatographic column structure, wherein an output end of the separation unit is communicatively connected to an input end of the detection unit; The bidirectional detectors are connected in parallel to construct a detection unit, wherein 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 and real-time carrier gas compensation, and the output end of the control unit is the output end of the chromatographic analysis module.

8. Gas outlet system of gas relay based on gas flow analysis, characterized in that: The steps for implementing the gas extraction method of a Buchholz relay based on gas flow analysis according to any one of claims 1 to 7, wherein the gas extraction system of the Buchholz relay based on gas flow analysis comprises: Air flow fluctuation monitoring module, used to monitor the air flow fluctuation of the gas collecting chamber of the Buchholz relay in real time and construct a dynamic flow field distribution map; a turbulence intensity calculation module, configured to calculate turbulence intensity based on the dynamic flow field distribution diagram and identify a gas accumulation core area; a directional suction module, configured to extract a plurality of spatial coordinates according to the gas gathering core area, and control a multi-stage air bleed pipeline to perform directional suction according to the plurality of spatial coordinates to obtain a gas suction result; The purity detection module is used to perform three-phase separation according to the gas suction results, 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 results to achieve intelligent gas extraction optimization of the Buchholz relay.

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