Fault point judgment system and method for coal mine beam tube sampling pipeline

Abstract

The invention discloses a system and a method for judging a fault point of a coal mine beam tube sampling pipeline, which belong to the technical field of coal mine beam tube monitoring and comprise a gas sampling pipeline parameter acquisition module, a fault type identification module, a fault point judgment module and a remote control module, the gas sampling pipeline parameter acquisition module, the fault type identification module, the fault point identification module and the remote control module are connected in sequence; the gas sampling pipeline parameter acquisition module is used for acquiring and storing related information of a gas sampling pipeline in real time, and can query and call the related information in real time; the fault type identification module is used for carrying out numerical simulation on various parameter information acquired by the gas sampling pipeline parameter acquisition module and judging the fault type of the gas sampling pipeline; the fault point identification module is used for determining the position range of a fault point of the gas sampling pipeline; and the remote control module is used for remotely controlling the opening and closing of the electromagnetic valves at the two ends of each section of gas sampling pipeline.

Description

Technical Field

[0001] The invention belongs to the technical field of coal mine bundle pipe monitoring, and in particular relates to a fault point judgment system and method for a coal mine bundle pipe sampling pipeline. Background Art

[0002] The coal mine bundle pipe monitoring system is a key technical means to prevent and control coal mine spontaneous combustion fires. The system transmits gas samples from monitoring points to analytical instruments for real-time analysis by laying a large number of long-distance bundle pipe sampling pipelines. This monitoring method is crucial for early detection and timely treatment of potential spontaneous combustion fire hazards.

[0003] However, there are some significant problems with the traditional bundled tube monitoring system. Specifically, due to the large number of sampling points, each sampling point needs to lay a separate bundled tube sampling pipeline, and the total length of the entire system is usually more than 30 kilometers; these pipelines are usually opaque, and once a failure occurs, such as leakage or blockage; maintenance personnel must start from the starting point of the pipeline and check section by section to determine the specific location of the fault. This troubleshooting method is not only time-consuming and labor-intensive, but also increases labor costs.

[0004] In addition, with the advancement of intelligent development of coal mines, traditional maintenance methods can no longer meet the needs of efficient and intelligent management of modern coal mines. Therefore, it is particularly important to develop a fault point judgment system for coal mine bundle tube sampling pipelines that can quickly and accurately locate the fault point. This can not only greatly improve maintenance efficiency and reduce labor costs, but also ensure the safety and stability of coal mine production.

[0005] In summary, the coal mine bundle pipe monitoring system plays an important role in preventing and controlling spontaneous combustion fires in coal mines, but its existing maintenance methods have many shortcomings. In order to adapt to the development trend of intelligent coal mines, it is urgent to introduce new technical means to optimize fault detection and maintenance processes. Summary of the invention

[0006] The present invention aims at the above problems, makes up for the deficiencies of the prior art, and provides a fault point judgment system for a coal mine bundle pipe sampling pipeline and a use method thereof.

[0007] To achieve the above purpose, the present invention adopts the following technical solution.

[0008] The present invention provides a fault point judgment system for a coal mine bundle pipe sampling pipeline, comprising a gas sampling pipeline parameter acquisition module, a fault type identification module, a fault point identification module and a remote control module, wherein the gas sampling pipeline parameter acquisition module, the fault type identification module, the fault point identification module and the remote control module are connected in sequence; the gas sampling pipeline parameter acquisition module is used to collect and store information related to the gas sampling pipeline in real time, and can be queried and called in real time; the fault type identification module is used to numerically simulate various parameter information collected by the gas sampling pipeline parameter acquisition module, and judge the type of fault in the gas sampling pipeline; the fault point identification module is used to determine the location range of the fault point of the gas sampling pipeline; the remote control module is used to remotely control the switches of the solenoid valves at both ends of each section of the gas sampling pipeline.

[0009] As a preferred solution of the present invention, the gas sampling pipeline parameter acquisition module includes a basic information entry submodule, a monitoring information acquisition submodule, and a switch information acquisition module at both ends of the pipeline; the basic information entry submodule is used to enter and store the address of the gas sampling pipeline, the installation location of the monitoring device, and the pipeline information; the monitoring information acquisition submodule is used to collect and store real-time data of pressure, flow rate, and flow in the gas sampling pipeline; the switch information acquisition module at both ends of the pipeline is used to monitor the solenoid valve switch signals on both sides of each section of the gas sampling pipeline.

[0010] As another preferred scheme of the present invention, the fault type identification module includes a pipeline physical model establishment submodule and a pipeline fault judgment module; the pipeline physical model establishment submodule is used to construct a physical model of the entire pipeline, including a three-dimensional physical model of the length, installation position, and pipeline surrounding environment; the pipeline fault judgment module is used to judge leakage or blockage faults in the pipeline.

[0011] As another preferred embodiment of the present invention, the fault point identification module includes a pipeline parameter analysis submodule and a pipeline fault point determination submodule; the pipeline parameter analysis submodule is used to analyze the changes in pressure and flow in the pipeline to determine whether the pipeline is leaking or blocked; the pipeline fault point determination submodule is used to identify and determine the location and range of the pipeline fault.

[0012] As another preferred solution of the present invention, the fault point determination model of the pipeline fault point determination submodule is: Among them, P1 and P2 are the pressure values ​​at both ends of the monitoring pipeline, Q1 and Q2 are the flow values ​​at both ends of the pipeline, and L is the length of the pipeline.

[0013] As another preferred solution of the present invention, the remote control module is used to control the opening / closing of the solenoid valves at both ends of each gas sampling pipeline, and the pressure, flow rate and flow rate in the open and closed states of the solenoid valve are collected and analyzed to determine the location of the fault point.

[0014] The present invention also provides a method for determining the fault point of a coal mine bundle pipe sampling pipeline, which is implemented using the coal mine bundle pipe sampling pipeline fault point determination system, including that during the normal operation of the air pump, the gas sampling pipeline is in a pressure state, and the pressure state is positive pressure or negative pressure; wherein the pressure value of each monitoring point of a pipeline is P1, P2, P3...P N , each monitoring point sets the upper limit of the alarm threshold as P 1C , P 2C , P 3C ...P NC , and the lower limit of the alarm threshold is P 1X , P 2X , P 3X ...P NX , and P NC >P N >P NX ;

[0015] When the pressure in the gas sampling pipeline is in a positive pressure state, when the pressure monitoring value P at a certain monitoring point N Greater than the upper limit setting value P NC At the same time, P N+1 Less than the lower limit setting value P (N+1)X When P N With P N+1 The pipeline between the two is blocked; if the pressure value is P N With the lower limit setting value P NX Between, at the same time P N+1 Less than the lower limit setting value P (N+1)X When P N With P N+1 There is air leakage in the pipeline between them;

[0016] When the pressure in the gas sampling pipeline is in a negative pressure state, when the pressure monitoring value P at a certain monitoring point N Less than the lower limit setting value P NX At the same time, P N+1 Greater than the upper limit setting value P (N+1)C When P N With P N+1 The pipeline between the two is blocked; if the pressure value is P N With the upper limit setting value P NC Between, at the same time P N+1 Greater than the upper limit setting value P (N+1)C When PN With P N+1 There is air leakage in the pipes between them.

[0017] Furthermore, when the pressure in the gas sampling pipeline is in a positive pressure state, a method for detecting whether the pipeline is leaking includes: while keeping the air pump running, the pressure sensor of each node has a corresponding value, and the monitoring host of the remote control module closes the two adjacent solenoid valves of the pipeline, such as closing the solenoid valves of the Nth node and the N+1th node. At this time, the value of the pressure sensor of the N+1th node will change. When the value P N+1 <P (N+1)X When the value is lower than the lower limit, it is determined that the pipeline is leaking; if the value P N+1 If it remains unchanged within 5 minutes, it is considered to be leak-free.

[0018] Furthermore, when the pressure in the gas sampling pipeline is in a negative pressure state, a method for detecting whether the pipeline is leaking includes: while keeping the air pump running, the pressure sensor of each node has a corresponding value, and the monitoring host of the remote control module closes the two adjacent solenoid valves of the pipeline, such as closing the solenoid valves of the Nth node and the N+1th node. At this time, the pressure sensor value of the N+1th node will change. When the value P N+1 >P (N+1)C When the value exceeds the upper limit, it is determined that the pipeline is leaking; if the value P N+1 If it remains unchanged within 5 minutes, it is considered to be leak-free.

[0019] Beneficial effects of the present invention:

[0020] The present invention provides a fault point judgment system and method for a coal mine bundle pipe sampling pipeline. The present invention includes a gas sampling pipeline parameter acquisition module, a fault type identification module, a fault point judgment module and a remote control module. By collecting, processing and analyzing daily pipeline data to intelligently determine the location of the fault point, the daily management capability of the gas sampling pipeline can be effectively improved, the maintenance workload of the gas sampling pipeline can be reduced, and work efficiency can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 The present invention is a schematic diagram of the overall structure of a fault point judgment system for a coal mine bundle pipe sampling pipeline.

[0023] Figure 2 The present invention is a schematic diagram of the structure of a gas sampling pipeline parameter acquisition module of a fault point judgment system of a coal mine bundle pipe sampling pipeline.

[0024] Figure 3 The present invention is a schematic structural diagram of a fault type identification module of a fault point judgment system for a coal mine bundle pipe sampling pipeline.

[0025] Figure 4 The present invention is a structural schematic diagram of a fault point identification module of a fault point judgment system for a coal mine bundle pipe sampling pipeline.

[0026] Markings in the figure: 1 is the gas sampling pipeline parameter acquisition module, 2 is the fault type identification module, 3 is the fault point identification module, 4 is the remote control module, 5 is the basic information entry submodule, 6 is the monitoring information acquisition submodule, 7 is the switch information acquisition module at both ends of the pipeline, 8 is the pipeline physical model establishment submodule, 9 is the pipeline fault judgment module, 10 is the pipeline parameter analysis submodule, and 11 is the pipeline fault point judgment submodule. DETAILED DESCRIPTION

[0027] In order to make the technical problems, technical solutions and beneficial effects solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be understood that the specific implementation methods described herein are only used to explain the present invention and are not used to limit the present invention.

[0028] like Figures 1 to 4 As shown, a fault point judgment system for a coal mine bundle pipe sampling pipeline provided by an embodiment of the present invention includes a gas sampling pipeline parameter acquisition module 1, a fault type identification module 2, a fault point identification module 3 and a remote control module 4, wherein the gas sampling pipeline parameter acquisition module 1, the fault type identification module 2, the fault point identification module 3 and the remote control module 4 are connected in sequence; the gas sampling pipeline parameter acquisition module 1 is used to collect and store information related to the gas sampling pipeline in real time, and can be queried and called in real time; the fault type identification module 2 is used to numerically simulate various parameter information collected by the gas sampling pipeline parameter acquisition module 1, and judge the type of fault in the gas sampling pipeline; the fault point identification module 3 is used to determine the location range of the fault point of the gas sampling pipeline; the remote control module 4 is used to remotely control the switches of the solenoid valves at both ends of each section of the gas sampling pipeline.

[0029] The gas sampling pipeline parameter acquisition module 1 includes a basic information entry submodule 5, a monitoring information acquisition submodule 6, and a switch information acquisition module 7 at both ends of the pipeline; the basic information entry submodule 5 is used to enter and store the address of the gas sampling pipeline, the installation location of the monitoring device, and the pipeline information; the monitoring information acquisition submodule 6 is used to collect and store real-time data of pressure, flow rate, and flow in the gas sampling pipeline; the switch information acquisition module 7 at both ends of the pipeline is used to monitor the solenoid valve switch signals on both sides of each section of the gas sampling pipeline.

[0030] The fault type identification module 2 includes a pipeline physical model establishment submodule 8 and a pipeline fault judgment module 9; the pipeline physical model establishment submodule 8 is used to construct a physical model of the entire pipeline, including a three-dimensional physical model of the length, installation location, and pipeline surrounding environment; the pipeline fault judgment module 9 is used to judge leakage or blockage failures in the pipeline; the fault point identification module 3 includes a pipeline parameter analysis submodule 10 and a pipeline fault point judgment submodule 11; the pipeline parameter analysis submodule 10 is used to analyze the changes in pressure and flow in the pipeline to judge whether the pipeline is leaking or blocked; the pipeline fault point judgment submodule 11 is used to judge and determine the location and range of the pipeline fault. The fault point determination model of the pipeline fault point judgment submodule 11 is: Among them, P1 and P2 are the pressure values ​​at both ends of the monitoring pipeline, Q1 and Q2 are the flow values ​​at both ends of the pipeline, and L is the length of the pipeline. The remote control module 4 controls the opening / closing of the solenoid valves at both ends of each gas sampling pipeline, collects and analyzes the pressure, flow rate and flow rate in the two states of the solenoid valve opening and closing, and determines the location of the fault point.

[0031] In addition, a method for determining a fault point of a coal mine bundle pipe sampling pipeline provided by an embodiment of the present invention is implemented using the fault point determination system of the coal mine bundle pipe sampling pipeline, including that during the normal operation of the air pump, the gas sampling pipeline is in a pressure state, and the pressure state is positive pressure or negative pressure; wherein the pressure value of each monitoring point of a pipeline is P1, P2, P3...P N (hereinafter referred to as P N The upper limit of the alarm threshold is set to P for each monitoring point. 1C , P 2C , P 3C ...P NC (hereinafter referred to as P NC The lower limit of the alarm threshold is P 1X , P 2X , P 3X ...P NX (hereinafter referred to as P NX , and P NC >P N >PNX ;

[0032] When the pressure in the gas sampling pipeline is in a positive pressure state, when the pressure monitoring value P at a certain monitoring point is N Greater than the upper limit setting value P NC At the same time, P N+1 Less than the lower limit setting value P (N+1)X When P N With P N+1 The pipeline between the two is blocked; if the pressure value is P N With the lower limit setting value P NX Between, at the same time P N+1 Less than the lower limit setting value P (N+1)X When P N With P N+1 There is air leakage in the pipeline between them;

[0033] When the pressure in the gas sampling pipeline is in a negative pressure state, when the pressure monitoring value P at a certain monitoring point N Less than the lower limit setting value P NX At the same time, P N+1 Greater than the upper limit setting value P (N+1)C When P N With P N+1 The pipeline between the two is blocked; if the pressure value is P N With the upper limit setting value P NC Between, at the same time P N+1 Greater than the upper limit setting value P (N+1)C When P N With P N+1 There is air leakage in the pipes between them.

[0034] Specifically, when the pressure in the gas sampling pipeline is in a positive pressure state, the method for detecting whether there is a gas leak in the pipeline includes: while keeping the air pump running, the pressure sensor of each node has a corresponding value, and the monitoring host of the remote control module 4 is used to close the two adjacent solenoid valves of the pipeline, such as closing the solenoid valves of the Nth node and the N+1th node. At this time, the pressure sensor value of the N+1th node will change. When the value P N+1 <P (N+1)X When the value is lower than the lower limit, it is determined that the pipeline is leaking; if the value P N+1 If it remains unchanged within 5 minutes, it is considered to be leak-free.

[0035] Specifically, when the pressure in the gas sampling pipeline is in a negative pressure state, the method for detecting whether the pipeline is leaking includes: while keeping the air pump running, the pressure sensor of each node has a corresponding value, and the monitoring host of the remote control module 4 is used to close the two adjacent solenoid valves of the pipeline, such as closing the solenoid valves of the Nth node and the N+1th node. At this time, the pressure sensor value of the N+1th node will change. When the value P N+1 >P (N+1)C When the value exceeds the upper limit, it is determined that the pipeline is leaking; if the value P N+1 If it remains unchanged within 5 minutes, it is considered to be leak-free.

[0036] In practical applications, the basic information, real-time monitoring data and solenoid valve status of the pipeline are first collected through the gas sampling pipeline parameter acquisition module 1; then, the fault type identification module 2 is used to analyze these data to identify whether there are faults such as leakage or blockage; then, the fault point identification module 3 is used to further determine the specific location of the fault; finally, the remote control module 4 is used to operate the solenoid valve on a specific pipeline section to assist the fault detection process. For example, during the normal operation of the air pump, if the pressure value of a certain monitoring point exceeds the set upper limit, and the pressure value of the next monitoring point is lower than the set lower limit, it can be judged that there is a blockage between the two points; if the pressure value is between the set upper and lower limits, but the pressure value of the next monitoring point is lower than the set lower limit, it may be a gas leak. The nature of the fault can be further confirmed by closing the solenoid valve between two adjacent nodes and observing the pressure changes of the latter node.

[0037] To further illustrate the specific implementation of the present invention, it is assumed that the total length of a bundle pipe sampling pipeline of a coal mine is 30 kilometers, 100 monitoring points are provided, and the pressure sensor and solenoid valve of each monitoring point are working normally.

[0038] Determine the blockage: During the normal operation of the air pump, if the system detects the pressure value P at the 30th monitoring point 30 Exceeds the upper limit P 30C , and the pressure value P at monitoring point 31 31 If it is lower than the lower limit P 31X Then according to the above method, it is preliminarily judged that 30 With P 31 Next, the solenoid valve between monitoring points 30 and 31 is closed through remote control module 4; the value change of the pressure sensor at monitoring point 31 is observed, and it is found that the value P 31If there is no significant change within 5 minutes, it is determined that there is no leakage, which further confirms the existence of blockage. At this time, maintenance personnel can quickly go to the site for repair based on the fault point location information provided by the system, greatly reducing the troubleshooting time and improving work efficiency.

[0039] Determine the leakage: During the normal operation of the air pump, if the system detects the pressure value P at the 70th monitoring point 70 Below its set lower limit P 70X , and the pressure value P at monitoring point 71 71 Higher than the upper limit P 71C , then the preliminary judgment is that in P 70 With P 71 Similarly, through the remote control module 4, the solenoid valve between the 70th and 71st monitoring points is closed, and the value change of the pressure sensor at the 71st monitoring point is observed, and it is found that the value P 71 It dropped to a lower level within 5 minutes, further confirming the leakage. At this time, maintenance personnel can quickly locate and repair the leakage point based on the fault point location information provided by the system, and quickly go to the site for maintenance, which greatly reduces the troubleshooting time and improves work efficiency.

[0040] It can be seen from the above embodiments that the fault point judgment system and method for the coal mine bundle pipe sampling pipeline provided by the present invention can effectively improve the accuracy and efficiency of fault detection, reduce maintenance workload, and improve the safety and stability of coal mine production.

[0041] It can be understood that the above specific description of the present invention is only used to illustrate the present invention and is not limited to the technical solutions described in the embodiments of the present invention. Those skilled in the art should understand that the present invention can still be modified or replaced by equivalents to achieve the same technical effects; as long as the use requirements are met, they are within the protection scope of the present invention.

Claims

1. A fault point judgment system for a coal mine bundle pipe sampling pipeline, characterized in that: It includes a gas sampling pipeline parameter acquisition module, a fault type identification module, a fault point identification module and a remote control module, which are connected in sequence; the gas sampling pipeline parameter acquisition module is used to collect and store information related to the gas sampling pipeline in real time, and can be queried and called in real time; the fault type identification module is used to numerically simulate various parameter information collected by the gas sampling pipeline parameter acquisition module, and judge the type of fault in the gas sampling pipeline; the fault point identification module is used to determine the location range of the fault point of the gas sampling pipeline; the remote control module is used to remotely control the switches of the solenoid valves at both ends of each section of the gas sampling pipeline.

2. A fault point judgment system for a coal mine bundle pipe sampling pipeline according to claim 1, characterized in that: The gas sampling pipeline parameter acquisition module includes a basic information entry submodule, a monitoring information acquisition submodule, and a switch information acquisition module at both ends of the pipeline; the basic information entry submodule is used to enter and store the address of the gas sampling pipeline, the installation location of the monitoring device, and the pipeline information; the monitoring information acquisition submodule is used to collect and store real-time data of pressure, flow rate, and flow in the gas sampling pipeline; the switch information acquisition module at both ends of the pipeline is used to monitor the solenoid valve switch signals on both sides of each section of the gas sampling pipeline.

3. A fault point judgment system for a coal mine bundle pipe sampling pipeline according to claim 1, characterized in that: The fault type identification module includes a pipeline physical model establishment submodule and a pipeline fault judgment module; the pipeline physical model establishment submodule is used to construct a physical model of the entire pipeline, including a three-dimensional physical model of the length, installation position, and pipeline surrounding environment; the pipeline fault judgment module is used to judge leakage or blockage faults in the pipeline.

4. A fault point judgment system for a coal mine bundle pipe sampling pipeline according to claim 1, characterized in that: The fault point identification module includes a pipeline parameter analysis submodule and a pipeline fault point determination submodule; the pipeline parameter analysis submodule is used to analyze the changes in pressure and flow in the pipeline to determine whether the pipeline is leaking or blocked; the pipeline fault point determination submodule is used to identify and determine the location and range of the pipeline fault.

5. A fault point judgment system for a coal mine bundle pipe sampling pipeline according to claim 4, characterized in that: The fault point determination model of the pipeline fault point determination submodule is: Among them, P1 and P2 are the pressure values ​​at both ends of the monitoring pipeline, Q1 and Q2 are the flow values ​​at both ends of the pipeline, and L is the length of the pipeline.

6. A fault point judgment system for a coal mine bundle pipe sampling pipeline according to claim 1, characterized in that: The remote control module is used to control the opening / closing of the electromagnetic valves at both ends of each gas sampling pipeline, and the pressure, flow rate and flow rate in the open and closed states of the electromagnetic valve are collected and analyzed to determine the location of the fault point.

7. A method for determining the fault point of a coal mine bundle pipe sampling pipeline, characterized in that: The fault point judgment system of the coal mine bundle pipe sampling pipeline described in any one of claims 1 to 6 is implemented, including that during the normal operation of the air pump, the gas sampling pipeline is in a pressure state, and the pressure state is positive pressure or negative pressure; wherein the pressure value of each monitoring point of a pipeline is P1, P2, P3...P N , each monitoring point sets the upper limit of the alarm threshold as P 1C , P 2C , P 3C ...P NC , and the lower limit of the alarm threshold is P 1X , P 2X , P 3X ...P NX , and P NC >P N >P NX ; When the pressure in the gas sampling pipeline is in a positive pressure state, when the pressure monitoring value P at a certain monitoring point N Greater than the upper limit setting value P NC At the same time, P N+1 Less than the lower limit setting value P (N+1)X When P N With P N+1 The pipeline between the two is blocked; if the pressure value is P N With the lower limit setting value P NX Between, at the same time P N+1 Less than the lower limit setting value P (N+1)X When P N With P N+1 There is air leakage in the pipeline between them; When the pressure in the gas sampling pipeline is in a negative pressure state, when the pressure monitoring value P at a certain monitoring point N Less than the lower limit setting value P NX At the same time, P N+1 Greater than the upper limit setting value P (N+1)C When P N With P N+1 The pipeline between the two is blocked; if the pressure value is P N With the upper limit setting value P NC Between, at the same time P N+1 Greater than the upper limit setting value P (N+1)C When P N With P N+1 There is air leakage in the pipes between them.

8. A method for determining a fault point of a coal mine bundle pipe sampling pipeline according to claim 7, characterized in that: When the pressure in the gas sampling pipeline is in a positive pressure state, the method for detecting whether the pipeline is leaking includes: while keeping the air pump running, the pressure sensor of each node has a corresponding value, and the monitoring host of the remote control module is used to close the two adjacent solenoid valves of the pipeline, such as closing the solenoid valves of the Nth node and the N+1th node. At this time, the pressure sensor value of the N+1th node will change. When the value P N+1 <P (N+1)X When the value is lower than the lower limit, it is determined that the pipeline is leaking; if the value P N+1 If it remains unchanged within 5 minutes, it is considered to be leak-free.

9. A method for determining a fault point of a coal mine bundle pipe sampling pipeline according to claim 7, characterized in that: When the pressure in the gas sampling pipeline is in a negative pressure state, the method for detecting whether the pipeline is leaking includes: while keeping the air pump running, the pressure sensor of each node has a corresponding value, and the monitoring host of the remote control module is used to close the two adjacent solenoid valves of the pipeline, such as closing the solenoid valves of the Nth node and the N+1th node. At this time, the pressure sensor value of the N+1th node will change. When the value P N+1 >P (N+1)C When the value exceeds the upper limit, it is determined that the pipeline is leaking; if the value P N+1 If it remains unchanged within 5 minutes, it is considered to be leak-free.

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