Intelligent regulation and control experimental device and method for gas extraction pipe network

Abstract

The invention discloses an intelligent regulation and control experimental device and method for a gas extraction pipe network. The intelligent regulation and control experimental device comprises a gas extraction pipeline device and an intelligent monitoring and control device, the gas extraction pipeline device comprises an extraction pump, the two ends of the extraction pump are connected with an exhaust pipe and an extraction main pipeline respectively, the extraction main pipeline is connected with a plurality of extraction branch pipelines through a four-way joint or a three-way joint, and electric butterfly valves, negative pressure sensors, gas flow meters and gas concentration sensors are installed at the positions, close to the extraction pump or the main pipeline, of the main pipeline and each branch pipeline. An electric butterfly valve, an air inlet, a negative pressure sensor and an automatic air leakage device are arranged at the tail end of the branch pipeline, the air inlet is connected with a gas cylinder through an air inlet pipe, and a pressure reducing valve and a flow regulating valve are arranged at an outlet of the gas cylinder; the intelligent monitoring and control device comprises an intelligent control cabinet and an intelligent control host, the control cabinet is connected with the monitoring and control device through a communication cable, and the control host is connected with the control cabinet through wireless communication. According to the invention, the accuracy of the intelligent regulation and control technology of the gas extraction pipe network can be verified in a laboratory.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology for gas extraction pipeline networks, specifically an experimental device and method for intelligent control of gas extraction pipeline networks. Background Technology

[0002] Intelligent control technology for gas drainage pipelines is a significant innovation in the field of comprehensive coal mine gas management. Its core lies in the dynamic optimization and precise control of negative pressure distribution within the gas drainage pipeline system through automation and information technology. Based on real-time monitoring of key parameters such as gas concentration, flow rate, and pressure, this technology intelligently controls the valve openings at various nodes in the pipeline network, thereby achieving a rational distribution and balanced adjustment of negative pressure during gas drainage. The effective application of this technology can significantly improve coal mine gas drainage efficiency and effectively promote the efficient utilization of gas.

[0003] The core of this technology lies in using intelligent algorithms to construct an intelligent control model for gas drainage pipeline networks, thereby achieving intelligent control of these networks. However, a significant bottleneck exists in the verification process of the constructed model: the intelligent control model is constrained by the stringent requirements of coal mine production safety, making it difficult to conduct sufficient experimental verification in real pipeline networks, thus casting doubt on its feasibility and reliability. To solve this problem, it is necessary to design an experimental device and method for intelligent control of gas drainage pipeline networks to complete the verification of the intelligent control model under safe and controllable conditions. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an experimental device and method for intelligent control of gas drainage pipeline networks. This device enables the feasibility verification of intelligent control technology for gas drainage pipeline networks in a laboratory setting, overcoming the limitation of feasibility verification in a single mine or a few mines, and significantly improving the universality and reliability of the technology.

[0005] To achieve the above objectives, the specific solution adopted by the present invention is as follows:

[0006] An experimental device and method for intelligent regulation of a gas extraction pipeline network, characterized in that it includes a gas extraction pipeline device and an intelligent monitoring and control device.

[0007] The gas extraction pipeline device includes a gas extraction pump, the outlet end of which is connected to an exhaust pipe, and the inlet end of which is connected to a main extraction pipeline. The main extraction pipeline is connected to six extraction branch pipelines through two four-way connectors and one three-way connector.

[0008] The intelligent monitoring and control device includes an electric butterfly valve, a negative pressure sensor, a gas flow meter, a gas concentration sensor, an automatic air leakage device, an intelligent control cabinet, and an intelligent control host. The intelligent control host is connected to the electric butterfly valve, negative pressure sensor, gas flow meter, gas concentration sensor, and automatic air leakage device via a communication line. The intelligent control host establishes a wireless connection with the intelligent control cabinet via wireless communication to receive, display, calculate strategies, and issue control commands to the controlled components.

[0009] Preferably, on the main extraction pipeline, an electric butterfly valve, a negative pressure sensor, and a gas flow and gas concentration sensor are installed sequentially near the gas extraction pump.

[0010] Preferably, on each of the extraction branch pipelines, an electric butterfly valve, a negative pressure sensor, a gas flow sensor, and a gas concentration sensor are installed near the main extraction pipeline. An electric butterfly valve is installed at the end of each branch pipeline. An air inlet, a negative pressure sensor, and an automatic air leakage device are installed in sequence at the front end of the electric butterfly valve.

[0011] Preferably, the air inlet is connected to the gas cylinder via an air inlet pipe, and a pressure reducing valve and a flow regulating valve are installed sequentially at the outlet of the gas cylinder. The flow regulating valve has an LCD screen that can display the specific flow rate value.

[0012] Preferably, the intelligent control host has the following functions:

[0013] Real-time acquisition and display of monitoring data from negative pressure sensors, gas flow meters, and gas concentration sensors;

[0014] It can manually change the operating power of the extraction, manually adjust the valve opening of any electric butterfly valve, and operate the automatic air leakage device on or off with one button.

[0015] It can embed intelligent calculation and optimization algorithm models for valve opening and intelligent diagnosis algorithm models for extraction pipeline faults.

[0016] An experimental method for intelligent control of a gas drainage pipeline network, based on the aforementioned experimental device and method for intelligent control of a gas drainage pipeline network, includes the following steps:

[0017] Turn on all the automatic air leakage devices on each extraction branch pipeline to simulate the air leakage at the gas source end in the actual gas extraction pipeline network. Adjust the opening of all electric butterfly valves on the extraction branch pipelines near the extraction main pipeline to 100%, and also set the opening of the electric butterfly valves on the extraction main pipeline to 100%. At the same time, adjust the opening of the electric butterfly valve at the end of the extraction branch pipeline to 0% to prevent additional air leakage.

[0018] Start the gas extraction pump at any power and connect the pressure reducing valve to the gas cylinder. Use the gas cylinder to deliver gas to each extraction branch pipeline through the inlet pipe and inlet.

[0019] The flow rate of gas delivered to each extraction branch pipeline is controlled by a flow regulating valve, and the flow rate of gas delivered to each extraction branch pipeline is set to a different value.

[0020] The sensor data collected by the intelligent control cabinet is transmitted to the intelligent control host in real time, and the sensor data is used as the initial value to input into the valve opening intelligent solution optimization algorithm model in the intelligent control host.

[0021] The intelligent calculation and optimization algorithm model for valve opening automatically calculates the opening of each electric butterfly valve based on the objective function. Based on the calculation results, the opening of each electric butterfly valve is manually adjusted. After the adjustment is completed, the changes in gas flow and concentration before and after the control of the gas extraction main pipeline under this working condition are recorded.

[0022] Continue to change the operating power of the gas extraction pump and the gas flow rate transported in the extraction branch pipeline. Use the valve opening intelligent calculation optimization algorithm model to optimize the opening of each electric butterfly valve again. Record the changes in gas flow rate and concentration before and after the gas extraction main pipeline is adjusted under this working condition.

[0023] After changing the operating conditions multiple times, the improvement in gas flow and concentration in the main extraction pipeline after regulation was observed compared to before regulation, thus verifying the feasibility of the intelligent regulation algorithm model.

[0024] Preferably, the experimental method for intelligent control of gas extraction pipeline network further includes the following steps:

[0025] After the adjustment is completed, disconnect the pressure reducing valve from the gas cylinder to stop supplying gas to the extraction pipeline. Adjust all electric butterfly valves to 100% and keep the gas extraction pump running at the current power to allow the residual gas in the extraction pipeline to be discharged through the exhaust pipe. When the gas concentration monitoring value of all gas concentration sensors is 0, continue to run the gas extraction pump for 1 minute to ensure that all the gas in the extraction pipeline is completely discharged. Then, turn off the gas extraction pump and the automatic air leakage device, and adjust all electric butterfly valves to 0%.

[0026] This invention enables the feasibility verification of intelligent control technology for gas drainage pipeline networks in the laboratory, overcoming the limitation of feasibility verification of intelligent control technology for gas drainage pipeline networks in a single mine or a few mines, and significantly improving the universality and reliability of the technical solution. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 , Figure 2 This is a schematic diagram of the system of the present invention. Figure 3 This is a flowchart of the method of the present invention.

[0029] Reference numerals in the attached diagram: 1-Gas extraction pump, 2-Main extraction pipeline, 3-Branch extraction pipeline, 4-Four-way connector, 5-T-way connector, 6-Exhaust pipe, 7-Electric butterfly valve, 8-Negative pressure sensor, 9-Gas flow meter, 10-Gas concentration sensor, 11-Automatic air leakage device, 12-Air inlet, 13-Air inlet pipe, 14-Flow regulating valve, 15-Pressure reducing valve, 16-Gas cylinder, 17-Intelligent control cabinet, 18-Communication cable, 19-Intelligent control host. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] like Figure 2 As shown, an experimental device and method for intelligent regulation of a gas extraction pipeline network includes a gas extraction pipeline device and an intelligent monitoring and control device.

[0032] The gas extraction pipeline system includes a gas extraction pump 1, an exhaust pipe 6 connected to the outlet end of the gas extraction pump 1, and a main extraction pipeline 2 connected to its inlet end. The main extraction pipeline 2 is connected to six extraction branch pipelines 3 through two four-way connectors 4 and one three-way connector 5.

[0033] The intelligent monitoring and control device includes an electric butterfly valve 7, a negative pressure sensor 8, a gas flow meter 9, a gas concentration sensor 10, an automatic air leakage device 11, an intelligent control cabinet 17, and an intelligent control host 18. The intelligent control cabinet 17 is connected to the electric butterfly valve 7, the negative pressure sensor 8, the gas flow meter 9, the gas concentration sensor 10, and the automatic air leakage device 11 via a communication cable 18. The intelligent control host 19 establishes a wireless connection with the intelligent control cabinet 17 via wireless communication, and is used to receive data, display data, perform strategy calculations, and issue control commands to the controlled components.

[0034] The inlet end of the gas extraction pump 1 is sealed and connected to the main extraction pipeline 7 to ensure that the extraction pump 1 can effectively provide extraction negative pressure to the extraction pipeline. The outlet end is connected to the exhaust pipe 6 so that the gas in the extraction pipeline can be smoothly discharged under the extraction action of the extraction pump 1 to ensure safety. Since the diameters of the main extraction pipeline 2 and the extraction branch pipeline 3 are different, two four-way valves 4 and one three-way valve 5 are used to connect the main extraction pipeline 2 to the six extraction branch pipelines.

[0035] On the main extraction pipeline 2, near the extraction pump 7, an electric butterfly valve 7, a negative pressure sensor 8, a gas flow meter 9, and a gas concentration sensor 10 are installed in sequence. The electric butterfly valve 7 and the extraction pump 1 can work together to regulate the overall negative pressure of the extraction pipeline system. The negative pressure sensor 8, the gas flow meter 9, and the gas concentration sensor 10 can respectively monitor the overall gas extraction negative pressure, the total gas extraction flow rate, and the gas extraction concentration of the extraction pipeline system.

[0036] On the extraction branch pipeline 3, near the extraction main pipeline 2, an electric butterfly valve 7, a negative pressure sensor 8, a gas flow meter 9, and a gas concentration sensor 10 are installed in sequence. By changing the opening of the electric butterfly valve 7, the extraction negative pressure of the branch where the electric butterfly valve 7 is located can be precisely controlled. The negative pressure sensor 8, the gas flow meter 9, and the gas concentration sensor 10 can monitor the gas extraction negative pressure, gas extraction flow rate, and gas extraction concentration at the outlet of the branch. An electric butterfly valve 7 is also installed at the end of the extraction branch pipeline 3. The purpose of installing the electric butterfly valve 7 here is to fully open it after the experiment, so that air can quickly enter the experimental device pipeline and the residual gas can be quickly discharged. An air inlet 12 and a negative pressure sensor 7 are installed in front of the electric butterfly valve 7. The air inlet 12 can simulate the gas source end of the gas extraction pipeline network, and the negative pressure sensor 7 at the front end of the air inlet 12 can monitor the gas extraction negative pressure at the air inlet 12.

[0037] The air inlet 12 is connected to the gas cylinder 16 through the air inlet pipe 13 to deliver methane gas into the extraction pipeline. A pressure reducing valve 15 and a flow regulating valve 14 are installed at the outlet of the gas cylinder 16. The pressure reducing valve 15 can ensure the safety of the gas cylinder 16 in delivering methane gas into the extraction pipeline. The flow regulating valve 14 can control the specific methane flow rate delivered to the extraction branch pipeline 3. By setting different methane flow rates for the six extraction branch pipelines 3, the situation of different methane flow rates at different gas source ends in the extraction pipeline network system can be simulated.

[0038] Each extraction branch pipeline 3 is equipped with an automatic air leakage device 11. During the experiment, when the automatic air leakage device 11 is turned on, air can enter the experimental system through the device under negative pressure, thereby simulating the air leakage phenomenon at the gas source end of the gas extraction pipeline network, making the experiment more in line with the actual situation on site.

[0039] All monitoring and control devices in the extraction pipeline are connected to the intelligent control cabinet 17 via communication cable 18. The monitoring data collected by the monitoring devices is transmitted to the intelligent control cabinet in real time via communication cable 18. At the same time, the intelligent control cabinet can issue control commands to the control devices via communication cable 18, thereby realizing the automated control of the control devices.

[0040] The intelligent control host 18 establishes a wireless connection with the intelligent control cabinet 17 via wireless communication. The intelligent control cabinet 17 can upload monitoring data to the intelligent monitoring host 19 via wireless transmission. Similarly, the intelligent monitoring host can also issue control commands to the intelligent control cabinet 17 for the control device. The valve opening intelligent solution optimization algorithm model and the extraction pipeline fault intelligent diagnosis algorithm model embedded in the intelligent control host 19 can be manually optimized and improved, which can continuously improve the model calculation accuracy.

[0041] The present invention also provides an experimental method for intelligent control of a gas extraction pipeline network, based on the above-mentioned experimental device and method for intelligent control of a gas extraction pipeline network, the method comprising S1 to S8.

[0042] S1. Turn on all the automatic air leakage devices on each extraction branch pipeline to simulate the air leakage at the gas source end in the actual gas extraction pipeline network. Adjust the opening of all electric butterfly valves on the extraction branch pipelines near the main extraction pipeline to 100%, and set the opening of the electric butterfly valves on the main extraction pipeline to 100% as well. At the same time, adjust the opening of the electric butterfly valve at the end of the extraction branch pipeline to 0% to prevent additional air leakage.

[0043] S2. Start running the gas extraction pump 1 at any power and connect the pressure reducing valve 15 to the gas cylinder 16. Use the gas cylinder 16 to deliver gas to each extraction branch pipeline 3 through the air inlet pipe 13 and the air inlet 12.

[0044] S3. Use flow regulating valve 14 to control the amount of gas flow delivered to each extraction branch pipeline 3, and set different values ​​for the gas flow delivered to each extraction branch pipeline 3.

[0045] S4. Transmit the sensor data collected by the intelligent control cabinet 17 to the intelligent control host 19 in real time, and input the sensor data as the initial value into the valve opening intelligent solution optimization algorithm model in the intelligent control host 19.

[0046] S5. The intelligent calculation and optimization algorithm model for valve opening automatically calculates the opening of each electric butterfly valve 7 based on the objective function. Based on the calculation results, the opening of each electric butterfly valve 7 is manually adjusted. After the adjustment is completed, the changes in gas flow and concentration before and after the control of the gas extraction main pipeline 2 under this working condition are recorded.

[0047] S6. Continue to change the operating power of the gas extraction pump 1 and the gas flow rate transported in the extraction branch pipeline 3. Use the valve opening intelligent calculation optimization algorithm model to optimize the opening of each electric butterfly valve 7 again, and record the changes in gas flow rate and concentration before and after the adjustment of the gas extraction main pipeline 2 under this working condition.

[0048] S7. After changing the operating conditions multiple times, observe the improvement in gas flow and concentration of the main extraction pipeline 2 after regulation compared to before regulation, and verify the feasibility of the intelligent regulation algorithm model.

[0049] S8. After the control experiment is completed, disconnect the pressure reducing valve 15 from the gas cylinder 16 to stop supplying gas to the extraction pipeline. Adjust the opening of all electric butterfly valves 7 to 100% and maintain the gas extraction pump 1 at the current power to allow the residual gas in the extraction pipeline to be discharged through the exhaust pipe 6. When the gas concentration monitoring value of all gas concentration sensors 10 is 0, continue to run the gas extraction pump 1 for 1 minute to ensure that all the gas in the extraction pipeline is completely discharged. Then, turn off the gas extraction pump 1 and the automatic air leakage device 11, and adjust the opening of all electric butterfly valves 7 to 0%.

Claims

1. An experimental device and method for intelligent control of a gas extraction pipeline network, characterized in that, This includes gas extraction pipeline equipment and intelligent monitoring and control equipment; The gas extraction pipeline device includes a gas extraction pump (1), the outlet end of which is connected to an exhaust pipe (6), and the inlet end of which is connected to a main extraction pipeline (2). The main extraction pipeline (2) is connected to six extraction branch pipelines (3) through two four-way connectors (4) and one three-way connector (5). The intelligent monitoring and control device includes an electric butterfly valve (7), a negative pressure sensor (8), a gas flow meter (9), a gas concentration sensor (10), an automatic air leakage device (11), an intelligent control cabinet (17), and an intelligent control host (19). The intelligent control cabinet (17) is connected to the electric butterfly valve (7), the negative pressure sensor (8), the gas flow meter (9), the gas concentration sensor (10), and the automatic air leakage device (11) through a communication cable (18). The intelligent control host (19) establishes a wireless connection with the intelligent control cabinet (17) through wireless communication, and is used to receive data, display data, calculate strategies, and issue control commands to the controlled components.

2. The experimental device and method for intelligent control of gas extraction pipeline network as described in claim 1, characterized in that, On the main extraction pipeline (2), near the gas extraction pump (1), an electric butterfly valve (7), a negative pressure sensor (8), a gas flow meter (9), and a gas concentration sensor (10) are installed in sequence.

3. The experimental device and method for intelligent control of gas extraction pipeline network as described in claim 1, characterized in that, On each of the extraction branch pipelines (3), an electric butterfly valve (7), a negative pressure sensor (8), a gas flow meter (9), and a gas concentration sensor (10) are installed near the main extraction pipeline (2). An electric butterfly valve (7) is installed at the end of each pipeline. An air inlet (12), a negative pressure sensor (8), and an automatic air leakage device (11) are installed in sequence at the front end of the electric butterfly valve.

4. The experimental device and method for intelligent control of gas extraction pipeline network as described in claim 3, characterized in that, The air inlet (12) is connected to the gas cylinder (16) through the air inlet pipe (13). A pressure reducing valve (15) and a flow regulating valve (14) are installed in sequence at the outlet of the gas cylinder (16). The flow regulating valve (14) has an LCD screen that can display the specific flow value.

5. The experimental device and method for intelligent control of gas extraction pipeline network as described in claim 1, characterized in that, The intelligent control host (19) has the following functions: Real-time acquisition and display of monitoring data from negative pressure sensor (8), gas flow meter (9), and gas concentration sensor (10); It can manually change the operating power of the extraction pump (1), manually adjust the valve opening of any electric butterfly valve (7), and operate the automatic air leakage device (11) with one key. It can embed intelligent calculation and optimization algorithm models for valve opening and intelligent diagnosis algorithm models for extraction pipeline faults.

6. An experimental method for intelligent control of a gas extraction pipeline network, characterized in that, Based on the intelligent control experimental device and method for gas extraction pipeline network as described in any one of claims 1-5, the method includes the following steps: All automatic air leakage devices (11) on each extraction branch pipeline (3) are opened to simulate the air leakage at the gas source end in the actual gas extraction pipeline network. The opening degree of the electric butterfly valve (7) on the extraction branch pipeline (3) near the extraction main pipeline (7) is adjusted to 100%. The opening degree of the electric butterfly valve (7) on the extraction main pipeline is also set to 100%. At the same time, the opening degree of the electric butterfly valve (7) at the end of the extraction branch pipeline (3) is adjusted to 0% to prevent additional air leakage. Start the gas extraction pump (1) at any power and connect the pressure reducing valve (15) to the gas cylinder (16). Use the gas cylinder (16) to deliver gas to each extraction branch pipeline (3) through the air inlet pipe (13) and the air inlet (12). The flow rate of gas delivered to each extraction branch pipeline (3) is controlled by the flow regulating valve (14), and the gas flow rate delivered to each extraction branch pipeline (3) is set to a different value. The sensor data collected by the intelligent control cabinet (17) is transmitted to the intelligent control host (19) in real time, and the sensor data is used as the initial value to input into the valve opening intelligent solution optimization algorithm model in the intelligent control host (19); The intelligent calculation and optimization algorithm model for valve opening automatically calculates the opening of each electric butterfly valve (7) based on the objective function. Based on the calculation results, the opening of each electric butterfly valve (7) is manually adjusted. After the adjustment is completed, the gas flow and concentration changes before and after the adjustment of the gas extraction main pipeline (2) under this working condition are recorded. Continue to change the operating power of the gas extraction pump (1) and the gas flow rate transported in the extraction branch pipeline (3), and use the valve opening intelligent solution optimization algorithm model to optimize the opening of each electric butterfly valve (7) again, and record the gas flow rate and concentration changes before and after the adjustment of the gas extraction main pipeline (2) under this working condition. After changing the operating conditions multiple times, the gas flow rate and concentration of the main extraction pipeline (2) were observed to improve the effect of regulation compared with that before regulation, thus verifying the feasibility of the intelligent regulation algorithm model.

7. The experimental method for intelligent control of a gas extraction pipeline network as described in claim 6, characterized in that, The method further includes the following steps: After the adjustment is completed, disconnect the pressure reducing valve (15) from the gas cylinder (16) to stop supplying gas to the extraction pipeline. Adjust the opening of all electric butterfly valves (7) to 100% and keep the gas extraction pump (1) running at the current power so that the residual gas in the extraction pipeline can be discharged through the exhaust pipe (6). When the gas concentration monitoring value of all gas concentration sensors (10) is 0, continue to run the gas extraction pump (1) for 1 minute to ensure that all the gas in the extraction pipeline is discharged. Then, turn off the gas extraction pump (1) and the automatic air leakage device (11) and adjust the opening of all electric butterfly valves (7) to 0%.

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