Alarm method and device for water and dust accumulation of extraction pipeline

Abstract

The invention discloses an extraction pipeline water and dust accumulation alarm method and device, and the method comprises the steps: arranging a monitoring point at the joint of every two sections of pipelines of a gas extraction pipeline, and arranging a sensor device on the monitoring point; acquiring temperature data, air pressure data and gas concentration data of each monitoring point in the gas extraction pipeline, and generating a group of real-time monitoring data for each monitoring point; calculating and generating a real-time probability density function value of each monitoring point according to the real-time monitoring data of each monitoring point and a pre-established standard Gaussian distribution model; and if the real-time probability density function values of one of the monitoring points and all the monitoring points subsequent to the monitoring point in the gas extraction direction are smaller than the judgment threshold value, it is judged that the water and dust accumulation situation is suspected to occur in the two sections of pipelines where the monitoring point is located, and alarm information is sent out. The specific position of pipeline blockage caused by water accumulation and dust accumulation can be judged, fixed-point dredging of the extraction pipeline is achieved, the extraction efficiency can be improved, and the labor delay time is shortened.

Description

Technical Field

[0001] The invention relates to the technical field of gas extraction pipelines, and in particular to a method and device for alarming water and dust accumulation in an extraction pipeline. Background Art

[0002] Gas extraction is the top priority in the process of coal mine disaster management, and the gas extraction pipeline is the main equipment in the gas extraction process. In the process of gas extraction, because the gas contains a lot of water and coal dust, water and dust often accumulate in the closed space of the extraction pipeline, which will cause pipeline blockage, affecting the extraction efficiency at the least, and giving rise to potential safety hazards at the worst.

[0003] However, in the existing technical solutions, it is still only based on manual judgment of whether there is water and dust accumulation in the gas extraction pipeline, which cannot accurately understand the situation of the extraction pipeline, and it is difficult to determine the specific location where the pipeline is partially or completely blocked due to water and dust accumulation, and it is impossible to achieve fixed-point dredging of the extraction pipeline. At present, there is no method and device that can provide real-time and fixed-point alarm for water and dust accumulation in the extraction pipeline. Summary of the invention

[0004] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide an alarm method and device for water and dust accumulation in an extraction pipeline, aiming to solve the problem that the existing technical solutions still rely solely on manual judgment of whether there is water and dust accumulation in the gas extraction pipeline, cannot accurately understand the situation of the extraction pipeline, and it is difficult to determine the specific location where the pipeline is partially or completely blocked due to water and dust accumulation, and cannot achieve targeted dredging of the extraction pipeline.

[0005] In view of the above problems, the present application provides a method and device for alarming water and dust accumulation in an extraction pipeline.

[0006] The first aspect disclosed in the present application provides a method for alarming water and dust accumulation in a pumping pipeline, the method comprising the following steps: Step 1: a monitoring point is set at the connection point between every two sections of the gas extraction pipeline, and a sensor device is set on the monitoring point, wherein the sensor device can detect temperature data, air pressure data and gas concentration data; Step 2: Obtain temperature data, air pressure data, and gas concentration data for each monitoring point in the gas extraction pipeline, and generate a set of real-time monitoring data for each monitoring point; Step 3: Calculate and generate the real-time probability density function value of each monitoring point based on the real-time monitoring data of each monitoring point and the pre-established standard Gaussian distribution model; Step 4: If the real-time probability density function values ​​of one of the monitoring points and all subsequent monitoring points in the gas extraction direction are less than the judgment threshold, it is determined that the two sections of the pipeline where the monitoring point is located are suspected of water and dust accumulation, and an alarm message is issued.

[0007] Preferably, the step 1 specifically includes: Step 1.1: Set a monitoring point at the connection between every two sections of the gas extraction pipeline, and set a unique number for each monitoring point; Step 1.2: A sensor device is set at each monitoring point, and the data monitored by the sensor device is identified by the number of the corresponding monitoring point, wherein the sensor device can detect temperature data, air pressure data and gas concentration data.

[0008] Preferably, the step 2 specifically includes the following steps: Step 2.1: Obtain temperature data, air pressure data and gas concentration data of each monitoring point in the gas extraction pipeline; Step 2.2: Express the temperature data, air pressure data and gas concentration data of each monitoring point as , , , where i=1,2,3,4,……,N, is used to indicate the number of each monitoring point, and N indicates the total number of monitoring points. represents the temperature data of the i-th monitoring point, represents the air pressure data of the i-th monitoring point, Represents the gas concentration data of the i-th monitoring point; Step 2.3: , , As real-time monitoring data for each monitoring point.

[0009] Preferably, the step 3 specifically includes: The real-time monitoring data of each monitoring point , , Input the pre-established standard Gaussian distribution model, perform the calculation shown in formula (1), and generate the real-time probability density function value of each monitoring point, where: Represents the real-time probability density function value of each monitoring point, It represents the standard deviation of the temperature data, air pressure data and gas concentration data of each monitoring point of m normal gas extraction pipelines without water accumulation and dust accumulation collected in advance, It represents the average value of the temperature data, air pressure data and gas concentration data of each monitoring point of m normal gas extraction pipelines without water accumulation and dust accumulation collected in advance. j=1,2,3 are used as subscripts to represent temperature data, air pressure data and gas concentration data respectively. m≥50 is used to represent the quantity: Formula (1).

[0010] Preferably, the step 4 specifically includes the following steps: Step 4.1: Calculate the temperature data, air pressure data and gas concentration data of each monitoring point of the m normal gas extraction pipelines without water accumulation and dust accumulation collected in advance according to formula (1), summarize the calculation results, and take the minimum value of all the calculation results as the judgment threshold; Step 4.2: If the real-time probability density function values ​​of one of the monitoring points labeled k and all the subsequent monitoring points of the monitoring point labeled k in the gas extraction direction are less than the judgment threshold, it is determined that the two sections of the pipeline where the monitoring point labeled k is located are suspected of water accumulation and dust accumulation, and an alarm message is issued, where k is the number of the monitoring point between 1 and N, and the alarm message includes the number of the monitoring point.

[0011] In a second aspect disclosed in the present application, a device for alarming water and dust accumulation in a pumping pipeline is provided, the device being used in the above-mentioned method for alarming water and dust accumulation in a pumping pipeline, the device comprising: A collection module, the collection module is used to set a monitoring point at the connection between every two sections of the gas extraction pipeline, and a sensor device is set on the monitoring point, wherein the sensor device can detect temperature data, air pressure data and gas concentration data; A data module, the data module is used to obtain temperature data, air pressure data and gas concentration data of each monitoring point in the gas extraction pipeline, and generate a set of real-time monitoring data for each monitoring point; A density function module, wherein the density function module calculates and generates a real-time probability density function value of each monitoring point according to the real-time monitoring data of each monitoring point and a pre-established standard Gaussian distribution model; A determination module is used to determine that there is suspected water and dust accumulation in the two sections of the pipeline where the monitoring point is located, and to issue an alarm message if the real-time probability density function values ​​of one of the monitoring points and all subsequent monitoring points in the gas extraction direction are less than a determination threshold.

[0012] The beneficial effects of the present invention are: (1) It can accurately understand the real-time situation of the gas extraction pipeline, solving the problem that the existing technical solution relies solely on manual judgment of whether there is water or dust accumulation in the gas extraction pipeline.

[0013] (2) It can determine the specific location where the pipeline is partially or completely blocked due to accumulated water and dust, and achieve targeted dredging of the extraction pipeline, thereby improving extraction efficiency and reducing lost work time.

[0014] (3) It provides a new technical solution for coal mine disaster management, solving the problem that there are currently no methods and devices on the market that can provide real-time and fixed-point alarms for water and dust accumulation in gas extraction pipelines. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 The present invention is an overall flow chart of a method for alarming water and dust accumulation in a pumping pipeline.

[0017] Figure 2 The present invention is an overall structural diagram of an alarm device for water and dust accumulation in extraction pipelines. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] like Figure 1 As shown, the embodiment of the present application provides a method for alarming water and dust accumulation in a pumping pipeline, the method comprising the following steps: Step 1: a monitoring point is set at the connection point between every two sections of the gas extraction pipeline, and a sensor device is set on the monitoring point, wherein the sensor device can detect temperature data, air pressure data and gas concentration data; Step 2: Obtain temperature data, air pressure data, and gas concentration data for each monitoring point in the gas extraction pipeline, and generate a set of real-time monitoring data for each monitoring point; Step 3: Calculate and generate the real-time probability density function value of each monitoring point based on the real-time monitoring data of each monitoring point and the pre-established standard Gaussian distribution model; Step 4: If the real-time probability density function values ​​of one of the monitoring points and all subsequent monitoring points in the gas extraction direction are less than the judgment threshold, it is determined that the two sections of the pipeline where the monitoring point is located are suspected of water and dust accumulation, and an alarm message is issued.

[0020] Furthermore, the step 1 specifically includes: Step 1.1: Set a monitoring point at the connection between every two sections of the gas extraction pipeline, and set a unique number for each monitoring point; Step 1.2: A sensor device is set at each monitoring point, and the data monitored by the sensor device is identified by the number of the corresponding monitoring point, wherein the sensor device can detect temperature data, air pressure data and gas concentration data.

[0021] Furthermore, the step 2 specifically includes the following steps: Step 2.1: Obtain temperature data, air pressure data and gas concentration data of each monitoring point in the gas extraction pipeline; Step 2.2: Express the temperature data, air pressure data and gas concentration data of each monitoring point as , , , where i=1,2,3,4,……,N, is used to indicate the number of each monitoring point, and N indicates the total number of monitoring points. represents the temperature data of the i-th monitoring point, represents the air pressure data of the i-th monitoring point, Represents the gas concentration data of the i-th monitoring point; Step 2.3: , , As real-time monitoring data for each monitoring point.

[0022] Furthermore, the step 3 specifically includes: The real-time monitoring data of each monitoring point , , Input the pre-established standard Gaussian distribution model, perform the calculation shown in formula (1), and generate the real-time probability density function value of each monitoring point, where: Represents the real-time probability density function value of each monitoring point, It represents the standard deviation of the temperature data, air pressure data and gas concentration data of each monitoring point of m normal gas extraction pipelines without water accumulation and dust accumulation collected in advance, It represents the average value of the temperature data, air pressure data and gas concentration data of each monitoring point of m normal gas extraction pipelines without water accumulation and dust accumulation collected in advance. j=1,2,3 are used as subscripts to represent temperature data, air pressure data and gas concentration data respectively. m≥50 is used to represent the quantity: Formula (1).

[0023] In short, the value of the probability density function is used to determine whether the real-time monitoring data of each monitoring point falls within a reasonable data space.

[0024] Furthermore, the step 4 specifically includes the following steps: Step 4.1: Calculate the temperature data, air pressure data and gas concentration data of each monitoring point of the m normal gas extraction pipelines without water accumulation and dust accumulation collected in advance according to formula (1), summarize the calculation results, and take the minimum value of all the calculation results as the judgment threshold; Step 4.2: If the real-time probability density function values ​​of one of the monitoring points labeled k and all the subsequent monitoring points of the monitoring point labeled k in the gas extraction direction are less than the judgment threshold, it is determined that the two sections of the pipeline where the monitoring point labeled k is located are suspected of water accumulation and dust accumulation, and an alarm message is issued, where k is the number of the monitoring point between 1 and N, and the alarm message includes the number of the monitoring point.

[0025] In short, when water and dust accumulate in a certain section of pipeline, all subsequent pipelines in the direction of gas extraction will be affected, causing abnormal data at the monitoring points of these pipelines, thereby determining the water and dust accumulation in the pipeline.

[0026] In summary, the method for alarming water and dust accumulation in a drainage pipeline provided by the embodiment of the present application has the following technical effects: (1) It can accurately understand the real-time situation of the gas extraction pipeline, solving the problem that the existing technical solution relies solely on manual judgment of whether there is water or dust accumulation in the gas extraction pipeline.

[0027] (2) It can determine the specific location where the pipeline is partially or completely blocked due to accumulated water and dust, and achieve targeted dredging of the extraction pipeline, thereby improving extraction efficiency and reducing lost work time.

[0028] (3) It provides a new technical solution for coal mine disaster management, solving the problem that there are currently no methods and devices on the market that can provide real-time and fixed-point alarms for water and dust accumulation in gas extraction pipelines.

[0029] Based on the same inventive concept as the method for alarming water and dust accumulation in a drainage pipeline in the aforementioned embodiment, Figure 2As shown, the present application provides a water and dust accumulation alarm device for a pumping pipeline, the device comprising: A collection module, the collection module is used to set a monitoring point at the connection between every two sections of the gas extraction pipeline, and a sensor device is set on the monitoring point, wherein the sensor device can detect temperature data, air pressure data and gas concentration data; A data module, the data module is used to obtain temperature data, air pressure data and gas concentration data of each monitoring point in the gas extraction pipeline, and generate a set of real-time monitoring data for each monitoring point; A density function module, wherein the density function module calculates and generates a real-time probability density function value of each monitoring point according to the real-time monitoring data of each monitoring point and a pre-established standard Gaussian distribution model; A determination module is used to determine that there is suspected water and dust accumulation in the two sections of the pipeline where the monitoring point is located, and to issue an alarm message if the real-time probability density function values ​​of one of the monitoring points and all subsequent monitoring points in the gas extraction direction are less than a determination threshold.

[0030] Through the above-mentioned detailed description of an alarm method for water and dust accumulation in a pumping pipeline, those skilled in the art can clearly understand an alarm device for water and dust accumulation in a pumping pipeline in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0031] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0032] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for alarming water and dust accumulation in a pumping pipeline, characterized in that: The method comprises the following steps: Step 1: a monitoring point is set at the connection point between every two sections of the gas extraction pipeline, and a sensor device is set on the monitoring point, wherein the sensor device can detect temperature data, air pressure data and gas concentration data; Step 2: Obtain temperature data, air pressure data, and gas concentration data for each monitoring point in the gas extraction pipeline, and generate a set of real-time monitoring data for each monitoring point; Step 3: Calculate and generate the real-time probability density function value of each monitoring point based on the real-time monitoring data of each monitoring point and the pre-established standard Gaussian distribution model; Step 4: If the real-time probability density function values ​​of one of the monitoring points and all subsequent monitoring points in the gas extraction direction are less than the judgment threshold, it is determined that the two sections of the pipeline where the monitoring point is located are suspected of water and dust accumulation, and an alarm message is issued.

2. A method for alarming water and dust accumulation in a drainage pipeline as claimed in claim 1, characterized in that: The step 1 specifically includes: Step 1.1: Set a monitoring point at the connection between every two sections of the gas extraction pipeline, and set a unique number for each monitoring point; Step 1.2: A sensor device is set at each monitoring point, and the data monitored by the sensor device is identified by the number of the corresponding monitoring point, wherein the sensor device can detect temperature data, air pressure data and gas concentration data.

3. A method for alarming water and dust accumulation in a drainage pipeline as claimed in claim 2, characterized in that: The step 2 specifically includes the following steps: Step 2.1: Obtain temperature data, air pressure data and gas concentration data of each monitoring point in the gas extraction pipeline; Step 2.2: Express the temperature data, air pressure data and gas concentration data of each monitoring point as , , , where i=1,2,3,4,……,N, is used to indicate the number of each monitoring point, and N indicates the total number of monitoring points. represents the temperature data of the i-th monitoring point, represents the air pressure data of the i-th monitoring point, Represents the gas concentration data of the i-th monitoring point; Step 2.3: , , As real-time monitoring data for each monitoring point.

4. A method for alarming water and dust accumulation in a drainage pipeline as claimed in claim 3, characterized in that: The step 3 specifically includes: The real-time monitoring data of each monitoring point , , Input the pre-established standard Gaussian distribution model, perform the calculation shown in formula (1), and generate the real-time probability density function value of each monitoring point, where: Represents the real-time probability density function value of each monitoring point, It represents the standard deviation of the temperature data, air pressure data and gas concentration data of each monitoring point of m normal gas extraction pipelines without water accumulation and dust accumulation collected in advance, It represents the average value of the temperature data, air pressure data and gas concentration data of each monitoring point of m normal gas extraction pipelines without water accumulation and dust accumulation collected in advance. j=1,2,3 are used as subscripts to represent temperature data, air pressure data and gas concentration data respectively. m≥50 is used to represent the quantity: Formula (1).

5. A method for alarming water and dust accumulation in a drainage pipeline as claimed in claim 4, characterized in that: The step 4 specifically comprises the following steps: Step 4.1: Calculate the temperature data, air pressure data and gas concentration data of each monitoring point of the m normal gas extraction pipelines without water accumulation and dust accumulation collected in advance according to formula (1), summarize the calculation results, and take the minimum value of all the calculation results as the judgment threshold; Step 4.2: If the real-time probability density function values ​​of one of the monitoring points labeled k and all the subsequent monitoring points of the monitoring point labeled k in the gas extraction direction are less than the judgment threshold, it is determined that the two sections of the pipeline where the monitoring point labeled k is located are suspected of water accumulation and dust accumulation, and an alarm message is issued, where k is the number of the monitoring point between 1 and N, and the alarm message includes the number of the monitoring point.

6. A water and dust accumulation alarm device for a drainage pipeline, the device comprising: A collection module, the collection module is used to set a monitoring point at the connection between every two sections of the gas extraction pipeline, and a sensor device is set on the monitoring point, wherein the sensor device can detect temperature data, air pressure data and gas concentration data; A data module, the data module is used to obtain temperature data, air pressure data and gas concentration data of each monitoring point in the gas extraction pipeline, and generate a set of real-time monitoring data for each monitoring point; A density function module, wherein the density function module calculates and generates a real-time probability density function value of each monitoring point according to the real-time monitoring data of each monitoring point and a pre-established standard Gaussian distribution model; A determination module is used to determine that there is suspected water and dust accumulation in the two sections of the pipeline where the monitoring point is located, and to issue an alarm message if the real-time probability density function values ​​of one of the monitoring points and all subsequent monitoring points in the gas extraction direction are less than a determination threshold.

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