Gas extraction detection system and method

Abstract

The invention discloses a gas extraction detection system and method, relates to the technical field of coal mining and monitoring, and mainly aims at solving the problems that gas extraction detection equipment is tedious in operation, single in data transmission mode and low in intelligent level, and the system comprises a mobile terminal, gas extraction equipment and a monitoring center; the mobile terminal is in communication connection with the gas extraction equipment and used for setting equipment parameters of the gas extraction equipment and controlling starting and stopping of the gas extraction equipment. The gas extraction equipment comprises a measurement module, a control module, a communication module and a data processing and storage module; the control module is respectively connected with the measurement module, the communication module and the data processing and storage module; and the monitoring center is in wireless communication connection with the gas extraction equipment and is used for receiving monitoring data uploaded by the gas extraction equipment in real time and carrying out intelligent analysis and processing based on the monitoring data to obtain a gas extraction detection result.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mining and monitoring, and in particular to a gas extraction detection system and method. Background Art

[0002] Coal mine gas extraction is a crucial component of safe coal mine production. To ensure effective gas extraction, real-time monitoring of gas pipeline parameters is essential. Currently, this measurement relies primarily on fixed continuous measurement equipment. However, due to limited measurement points, this inability to fully reflect the actual conditions of the entire pipeline network. To verify the results of fixed equipment and conduct supplemental measurements in uncovered areas, manual inspections using portable mobile measurement equipment are required.

[0003] Existing portable mobile gas extraction and detection equipment has some shortcomings, such as cumbersome equipment operation, which makes it impossible to achieve refined collection and monitoring of gas extraction parameters; single data transmission method, which makes it impossible to upload measurement data to the monitoring center in real time, making it difficult to achieve real-time monitoring of extraction parameters; and insufficient data analysis capabilities, which makes it impossible to achieve intelligent data analysis and processing. Summary of the Invention

[0004] In view of this, the present invention provides a gas extraction detection system and method, the main purpose of which is to solve the problems of cumbersome operation, single data transmission method and low intelligence level of portable gas extraction detection equipment in the prior art.

[0005] According to one aspect of the present invention, there is provided a gas drainage detection system comprising a mobile terminal, gas drainage equipment and a monitoring center;

[0006] The mobile terminal is in communication with the gas extraction device, and is used to set device parameters for the gas extraction device and control the start and stop of the gas extraction device;

[0007] The gas extraction equipment includes a measuring module, a control module, a communication module and a data processing and storage module; the control module is connected to the measuring module, the communication module and the data processing and storage module respectively;

[0008] The monitoring center is wirelessly connected to the gas extraction equipment for receiving monitoring data uploaded by the gas extraction equipment in real time, and performing intelligent analysis and processing based on the monitoring data to obtain gas extraction detection results.

[0009] Furthermore, the measurement module includes a flow rate measurement unit; the flow rate measurement unit includes an S-type pitot tube and a differential pressure meter connected by a hose;

[0010] The total pressure hole and the static pressure hole of the S-type pitot tube are inserted into the center position of the pipe cross section at the test point, and the pressure difference between the total pressure hole and the static pressure hole is obtained by the differential pressure meter;

[0011] The differential pressure meter sends the pressure difference measured by the S-type Pitot tube to the control module, so that the control module calculates the gas flow rate of the measured point based on the pressure difference.

[0012] Furthermore, the measurement module includes a concentration measurement unit; the concentration measurement unit includes a laser methane sensor, an oxygen sensor, and a carbon monoxide sensor;

[0013] The laser methane sensor, the oxygen sensor and the carbon monoxide sensor are all arranged in the gas circulation chamber, and are used to measure the methane concentration, oxygen concentration and carbon monoxide concentration respectively; and transmit the gas concentration data including the methane concentration, the oxygen concentration and the carbon monoxide concentration to the control module.

[0014] Furthermore, the measurement module includes a temperature and pressure measurement unit; the temperature and pressure measurement unit uses a temperature and pressure sensor to measure the temperature and pressure in the gas extraction pipeline or near the drilling position, and transmits the temperature and pressure to the control module.

[0015] Furthermore, the measurement module includes a positioning unit; the positioning unit identifies the drilling position based on NFC near-field communication, obtains positioning data, and transmits the positioning data to the control module.

[0016] Furthermore, after the control module obtains the monitoring data uploaded by the measurement module in real time, it packages the monitoring data and sends it to the data processing and storage module;

[0017] The data processing and storage module adds data tags to the packaged monitoring data, stores the tagged monitoring data locally, and transmits the tagged monitoring data to the monitoring center via wireless communication.

[0018] Furthermore, the mobile terminal is connected to the monitoring center via wireless communication;

[0019] The gas extraction equipment uploads the monitoring data to the mobile terminal, so that the mobile terminal uploads the monitoring data to the monitoring center.

[0020] According to another aspect of the present invention, a gas drainage detection method is provided, comprising:

[0021] Using a mobile terminal to set equipment parameters for a gas extraction device, and after the gas extraction device is installed at a point to be tested, using the mobile terminal to start the gas extraction device;

[0022] The gas extraction equipment opens the gas circuit valve through the control module to extract the gas from the pipeline under test into the gas circulation chamber; and obtains monitoring data through the measurement module, wherein the monitoring data includes pressure difference, methane concentration, oxygen concentration, carbon monoxide concentration, temperature, pressure and positioning data;

[0023] The gas extraction equipment determines the gas flow rate corresponding to the pressure difference through a control module, and adds data tags to the gas flow rate, the methane concentration, the oxygen concentration, the carbon monoxide concentration, the temperature, and the pressure based on the positioning data through a data processing and storage module to obtain the labeled monitoring data;

[0024] The gas extraction equipment transmits the tagged monitoring data to a monitoring center or a mobile terminal through a communication module; if the mobile terminal receives the tagged monitoring data, the mobile terminal transmits the tagged monitoring data to the monitoring center;

[0025] The monitoring center performs intelligent analysis and processing on the labeled monitoring data to obtain gas extraction detection results.

[0026] Furthermore, the monitoring center performs intelligent analysis and processing on the labeled monitoring data to obtain gas extraction detection results, including:

[0027] Combining monitoring data with the same monitoring time and consistent data labels into a multi-parameter data tuple; and dividing each of the multi-parameter data tuples into an abnormal data tuple set and a normal data tuple set according to the methane concentration deviation rate;

[0028] Performing a sliding window average filtering process on the abnormal data tuple set to obtain a smoothed data tuple; and comparing the smoothed data tuple with the historical data tuple of the corresponding measuring point to determine the methane concentration change rate, the carbon monoxide concentration change rate, and the oxygen concentration change rate;

[0029] Comparing the methane concentration change rate, the carbon monoxide concentration change rate, and the oxygen concentration change rate with a preset abnormality type assessment rule to obtain a gas extraction abnormality type judgment result;

[0030] Calculating the pressure difference between adjacent measuring points based on the smoothed data tuple; and estimating the theoretical pressure difference using the Bernoulli equation in combination with the geometric parameters and flow rate of the measuring pipe;

[0031] Calculating a pressure difference ratio between the pressure difference and the theoretical pressure difference, and comparing the pressure difference ratio with a preset leakage risk assessment rule to obtain a gas extraction leakage risk assessment result;

[0032] A gas extraction operation status report is generated according to the gas extraction abnormality type judgment result and the gas extraction leakage risk assessment result, and the gas extraction operation status report is sent to the mobile terminal.

[0033] Furthermore, dividing each of the multi-parameter data tuples into an abnormal data tuple set and a normal data tuple set by the methane concentration deviation rate includes:

[0034] Calculating a theoretical value of methane concentration based on the multi-parameter data tuple;

[0035] Comparing the theoretical value of the methane concentration with the monitored value of the methane concentration to obtain a methane concentration deviation rate;

[0036] The methane concentration deviation rate is compared with a preset deviation rate threshold to obtain a deviation rate comparison result; and based on the deviation rate comparison result, each of the multi-parameter data tuples is divided into an abnormal data tuple set and a normal data tuple set.

[0037] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0038] The present invention provides a gas extraction detection system and method. Compared with the prior art, the present invention is used to set the equipment parameters of the gas extraction equipment and control the start and stop of the gas extraction equipment through a communication connection between a mobile terminal and the gas extraction equipment. It not only establishes a data transmission method between the mobile terminal and the gas extraction equipment, but also simplifies the equipment parameter setting steps of the gas extraction equipment and the start and stop control of the gas extraction equipment, and facilitates the operation and control of underground personnel. The present invention also receives the monitoring data uploaded by the gas extraction equipment in real time through a monitoring center, and performs intelligent analysis and processing based on the monitoring data to obtain gas extraction detection results, thereby improving the intelligent data analysis capability of gas extraction. The gas extraction detection system of the present invention can meet the inspection and detection needs of coal mine gas extraction pipeline networks, improve detection efficiency and real-time data monitoring capabilities, and has broad application prospects.

[0039] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0041] Figure 1 A schematic structural diagram of a gas extraction detection system provided by an embodiment of the present invention is shown;

[0042] Figure 2 A schematic structural diagram of a gas extraction device provided by an embodiment of the present invention is shown;

[0043] Figure 3 A schematic diagram of a flow chart of a gas extraction detection method provided by an embodiment of the present invention is shown;

[0044] Figure 4 A flow chart of another gas extraction detection method provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0045] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0046] The embodiment of the present invention provides a gas extraction detection system, such as Figure 1 As shown, the system includes a mobile terminal, gas extraction equipment and a monitoring center;

[0047] The mobile terminal is in communication with the gas extraction device, and is used to set device parameters for the gas extraction device and control the start and stop of the gas extraction device;

[0048] In an embodiment of the present invention, the mobile terminal is a mobile terminal installed with relevant software, and the equipment parameters of the gas extraction equipment can be set through the software function. For example, the mobile terminal is preferably a mining intrinsically safe mobile phone, etc., which is not specifically limited in the embodiment of the present invention. The communication connection between the mobile terminal and the gas extraction equipment can be any one of a data line wired connection, a Bluetooth connection, and a wireless communication connection, which is not specifically limited in the embodiment of the present invention. Among them, the equipment parameter setting of the gas extraction equipment includes equipment number setting, communication parameter setting, measurement parameter setting, etc., which is not specifically limited in the embodiment of the present invention. In order to facilitate the operation and control of the gas extraction equipment by underground personnel, the mobile terminal can also control the start and stop of the gas extraction equipment through software functions.

[0049] like Figure 2 As shown, the gas extraction equipment includes a measurement module, a control module, a communication module and a data processing and storage module; the control module is connected to the measurement module, the communication module and the data processing and storage module respectively;

[0050] In an embodiment of the present invention, the gas extraction equipment needs to be installed on the gas extraction borehole or pipeline to be measured during specific inspections. After each measurement of a measuring point is completed, the gas extraction equipment needs to be disassembled from the gas extraction borehole or pipeline, and then the next measuring point needs to be installed and measured. In this embodiment, the gas extraction equipment includes a measuring module, a control module, a communication module, and a data processing and storage module; wherein the control module is respectively connected to the measuring module, the communication module, and the data processing and storage module. The control module is the core of the gas extraction equipment, and is used to receive instructions and coordinate other modules to perform specific operations. The control module can be a collaborative controller, wherein the collaborative controller mainly performs the following operations:

[0051] (1) Receive control instructions from the mobile terminal and start measurement;

[0052] (2) Control the opening and closing of the pneumatic valve so that the gas in the gas extraction borehole or pipeline to be measured flows into the gas circulation chamber of the gas extraction equipment;

[0053] (3) Receive monitoring data from the measurement module and transmit the monitoring data to the ground monitoring center via wireless communication;

[0054] (4) Receiving a control instruction from the mobile terminal, stopping measurement, etc., which is not specifically limited in the embodiment of the present invention.

[0055] It should be noted that after the control module obtains the monitoring data uploaded by the measurement module in real time, it can also package the monitoring data and send it to the data processing and storage module; when the data processing and storage module receives the monitoring data, it is also necessary to add data tags to the packaged monitoring data, and store the tagged monitoring data locally, and transmit it to the monitoring center via wireless communication. In this embodiment, in order to ensure the spatial consistency of the monitoring data, data tags are used to indicate the measurement point location of the monitoring data. In scenarios where inspection trajectory inversion is required, data tags can also indicate information such as the equipment number of the gas extraction equipment, which is not specifically limited in the embodiment of the present invention.

[0056] To ensure stable operation, the gas extraction equipment also includes a power module, which includes an intrinsically safe battery pack, a power management circuit, and a charging control circuit. The power management circuit is connected to the intrinsically safe battery pack and the cooperative controller, providing a safe voltage supply to the cooperative controller. The charging control circuit is connected to the intrinsically safe battery pack to control the charging process of the intrinsically safe battery pack and prevent overcharging.

[0057] The monitoring center is wirelessly connected to the gas extraction equipment for receiving monitoring data uploaded by the gas extraction equipment in real time, and performing intelligent analysis and processing based on the monitoring data to obtain gas extraction detection results.

[0058] In an embodiment of the present invention, the monitoring center is generally set up on the ground and is wirelessly connected to the gas extraction equipment. After receiving the monitoring data uploaded by the underground gas extraction equipment, the monitoring center performs intelligent analysis and processing on the current measuring point or the entire pipeline based on the monitoring data to obtain the gas extraction detection results and promptly discover the risks existing underground.

[0059] It should be noted that, in order to promptly feed back monitoring data to the monitoring center, the embodiments of the present invention also establish a wireless communication connection between the mobile terminal and the monitoring center, opening up a second data upload path. The gas extraction equipment can upload monitoring data to the corresponding mobile terminal, so that the mobile terminal can upload the monitoring data to the ground monitoring center. The gas extraction equipment can transmit data to the corresponding mobile terminal by any of a wired data line connection, a Bluetooth connection, and a wireless communication connection, which is not specifically limited in the embodiments of the present invention.

[0060] Furthermore, as a refinement and extension of the above embodiment, in order to accurately and efficiently sample key parameters, another gas extraction detection system is provided, such as Figure 2 As shown, the measurement module of the gas extraction equipment in the system includes a flow rate measurement unit; the flow rate measurement unit includes an S-type pitot tube and a differential pressure meter connected by a hose;

[0061] The total pressure hole and static pressure hole of the S-type pitot tube are inserted into the center of the pipe cross-section at the test point, and the pressure difference between the total pressure hole and the static pressure hole is obtained by the differential pressure meter. Specifically, the line connecting the total pressure hole and the static pressure hole must be parallel to the direction of airflow, wherein the total pressure hole faces the incoming flow direction and is connected to the positive end of the differential pressure meter via a hose, and the static pressure hole faces the outgoing flow direction and is connected to the negative end of the differential pressure meter via a hose. The differential pressure meter obtains the pressure difference ΔP between the total pressure hole and the static pressure hole. The differential pressure meter sends the pressure difference measured by the S-type pitot tube to the control module, so that the control module calculates the gas flow rate at the test point based on the pressure difference.

[0062] Among them, the principle of the S-type pitot tube to measure flow rate is the Bernoulli equation under ideal incompressible gas, that is, in a uniform and stable ideal flow field, the sum of the kinetic energy, gravitational potential energy and pressure potential energy at any two points on the same streamline is a constant. The S-type pitot tube is welded together by two metal tubes of the same appearance. There are two cuts in opposite directions at the probe. The cross-sections of the cuts are parallel to each other. The cut facing the direction of the airflow is the total pressure hole, and the cut facing the direction of the airflow is the static pressure hole. Insert the S-type pitot tube into the center point of the cross-section of the tested section, and take two points A' and A on the streamline where the total pressure hole and static pressure hole of the pitot tube are located. According to the Bernoulli equation, we have:

[0063]

[0064] Where ρ is the fluid density, v is the fluid velocity, g is the acceleration due to gravity, and P is the pressure potential energy of the fluid. The fluid velocity in front of the total pressure port of the Pitot tube is stagnant at zero, i.e., v′ = 0. At this point, the pressure at point A' reaches its maximum value, P'. Since points A' and A are at the same relative height during the measurement, h' = h. The above formula can now be simplified to:

[0065]

[0066] However, in the actual measurement process, due to the influence of the viscosity of the fluid in the pipeline and the pressure difference ΔP is not the pressure difference between points A' and A, but the pressure difference between the total pressure hole and the static pressure hole, a coefficient k needs to be added for correction. By modifying the above flow rate formula, the calibration coefficient k formula can be obtained as follows:

[0067]

[0068] This equation is the calibration formula for the Pitot tube, where k is the Pitot tube calibration coefficient, and ΔP is the pressure difference between the total and static pressure ports. When calculating the gas flow rate at the measurement point, the control module uses the Pitot tube calibration coefficient k to calibrate the flow rate, obtaining gas flow rate information that is more consistent with actual values.

[0069] The measurement module of the gas extraction equipment in the above system also includes a concentration measurement unit; the concentration measurement unit includes a laser methane sensor, an oxygen sensor, and a carbon monoxide sensor; wherein the laser methane sensor, the oxygen sensor, and the carbon monoxide sensor are all arranged in the gas circulation chamber, and are used to measure the methane concentration, oxygen concentration, and carbon monoxide concentration, respectively; and transmit the gas concentration data containing the methane concentration, oxygen concentration, and carbon monoxide concentration to the control module.

[0070] The measurement module of the gas extraction equipment in the above system also includes a temperature and pressure measurement unit; the temperature and pressure measurement unit uses a temperature and pressure sensor to measure the temperature and pressure in the gas extraction pipeline or near the drilling position, and transmits the temperature and pressure to the control module.

[0071] The gas extraction equipment's measurement module in the aforementioned system also includes a positioning unit. This unit uses NFC (near-field communication) to identify the borehole location, obtain positioning data, and transmit this positioning data to the control module. Specifically, an NFC tag is placed at the borehole location, and an NFC chip compatible with the tag is placed in the gas extraction equipment's positioning unit. When the gas extraction equipment approaches the NFC tag on the borehole, it automatically reads the borehole number or location information, ensuring accurate measurement.

[0072] It's important to note that to facilitate real-time observation and modification of monitoring data by underground personnel, the gas extraction equipment in the aforementioned system also includes a display module and a keypad module. Underground operators can also modify certain measured data, such as positioning data and temperature and pressure data, in real time via the LCD screen and keypad, and then upload them to the surface monitoring center.

[0073] The embodiment of the present invention provides a gas extraction detection system. Compared with the prior art, the present invention is used to set the equipment parameters of the gas extraction equipment and control the start and stop of the gas extraction equipment through a communication connection between a mobile terminal and the gas extraction equipment. It not only establishes a data transmission method between the mobile terminal and the gas extraction equipment, but also simplifies the equipment parameter setting steps of the gas extraction equipment and the start and stop control of the gas extraction equipment, and facilitates the operation and control of underground personnel. The present invention also receives the monitoring data uploaded by the gas extraction equipment in real time through a monitoring center, and performs intelligent analysis and processing based on the monitoring data to obtain gas extraction detection results, thereby improving the intelligent data analysis capability of gas extraction. The gas extraction detection system of the present invention can meet the inspection and detection needs of coal mine gas extraction pipeline networks, improve detection efficiency and real-time monitoring capabilities of data, and has broad application prospects.

[0074] As the above Figure 1 The embodiment of the present invention provides a gas extraction detection method, such as Figure 3 As shown, the method includes:

[0075] 101. Using a mobile terminal to set equipment parameters for a gas extraction device, and after the gas extraction device is installed at a test point, using the mobile terminal to start the gas extraction device;

[0076] In this embodiment of the present invention, a mobile terminal sets device parameters for the gas extraction equipment, including the device number, communication parameters, and measurement parameters, which are not specifically limited in this embodiment. An underground worker installs the gas extraction equipment on the gas extraction borehole or pipeline to be measured and turns on the power switch. The mobile terminal then uses software to send measurement instructions to the gas extraction equipment, instructing it to begin measurement.

[0077] It should be noted that in order to facilitate underground personnel to timely understand the operating status of the gas extraction equipment, the real-time status of the gas extraction equipment can also be displayed on the mobile terminal.

[0078] 102. The gas extraction equipment opens the gas circuit valve through the control module to extract the gas from the pipeline under test into the gas circulation chamber; and obtains monitoring data through the measurement module, wherein the monitoring data includes pressure difference, methane concentration, oxygen concentration, carbon monoxide concentration, temperature, pressure, and positioning data;

[0079] In this embodiment of the present invention, the gas extraction equipment opens the gas line valve via a control module, extracting gas from the pipeline under test into the gas circulation chamber. The various sensors in the measurement module then begin operating. These sensors may include an S-type pitot tube, a laser methane sensor, an oxygen sensor, a carbon monoxide sensor, and a temperature and pressure sensor, each used to collect monitoring data such as pressure differential, methane concentration, oxygen concentration, carbon monoxide concentration, temperature, and pressure. These sensors are not specifically limited in this embodiment of the present invention.

[0080] It's important to note that the measurement module also includes a positioning unit, which uses NFC near-field communication to identify the borehole location and obtain positioning data. Specifically, an NFC tag is placed at the borehole location, and an NFC chip compatible with the tag is installed in the gas extraction equipment's positioning unit. When the gas extraction equipment approaches the NFC tag on the borehole, it automatically reads the borehole number or location information, ensuring accurate measurement.

[0081] 103. The gas extraction equipment determines a gas flow rate corresponding to the pressure difference through a control module, and adds data tags to the gas flow rate, the methane concentration, the oxygen concentration, the carbon monoxide concentration, the temperature, and the pressure based on the positioning data through a data processing and storage module to obtain labeled monitoring data.

[0082] In this embodiment of the present invention, to ensure spatial consistency of the monitoring data, data tags are used to indicate the location of the monitoring points. For example, the gas flow rate, methane concentration, oxygen concentration, carbon monoxide concentration, temperature, and pressure data at the same time and measurement point are uniformly labeled "t1_1#_001," where "t1" is the time point and "1#_001" represents the first measurement point on measurement pipeline 1. This is not specifically limited in this embodiment of the present invention.

[0083] It should be noted that, in a scenario where inspection trajectory inversion is required, the data tag may also indicate information such as the equipment number of the gas extraction equipment, which is not specifically limited in the embodiment of the present invention.

[0084] 104. The gas extraction device transmits the tagged monitoring data to a monitoring center or a mobile terminal via a communication module; if the mobile terminal receives the tagged monitoring data, the mobile terminal transmits the tagged monitoring data to the monitoring center;

[0085] In this embodiment of the present invention, the gas extraction equipment transmits tagged monitoring data to a monitoring center via long-distance wireless communication technology within the communication module. To ensure timely feedback of monitoring data to the monitoring center even in harsh environments, the gas extraction equipment also transmits the tagged monitoring data to a mobile terminal via near-field wireless communication within the communication module or via wired communication. After the mobile terminal receives the tagged monitoring data, it also needs to transmit the tagged monitoring data to a ground-based monitoring center.

[0086] 105. The monitoring center performs intelligent analysis and processing on the labeled monitoring data to obtain gas extraction detection results.

[0087] Furthermore, as a refinement and extension of the above embodiment, in order to improve the intelligent analysis level of gas extraction, another gas extraction detection method is provided, such as Figure 4 As shown in the step, the monitoring center performs intelligent analysis and processing on the monitoring data after adding the label to obtain the gas extraction detection results, including:

[0088] 201. Combining monitoring data with the same monitoring time and consistent data labels into multi-parameter data tuples; and dividing each of the multi-parameter data tuples into an abnormal data tuple set and a normal data tuple set based on the methane concentration deviation rate;

[0089] In an embodiment of the present invention, the monitoring center combines monitoring data with the same monitoring time and consistent data labels into multi-parameter data tuples, such as combining the gas flow rate, methane concentration, oxygen concentration, carbon monoxide concentration, temperature, and pressure data labeled "t1_1#_001" into one multi-parameter data tuple, and combining the gas flow rate, methane concentration, oxygen concentration, carbon monoxide concentration, temperature, and pressure data labeled "t2_1#_001" into another multi-parameter data tuple, etc., which are not specifically limited in this embodiment of the present invention. In addition, the monitoring center also divides each multi-parameter data tuple into an abnormal data tuple set and a normal data tuple set based on the methane concentration deviation rate, specifically:

[0090] (1) The monitoring center calculates the theoretical value of methane concentration based on the multi-parameter data tuple; assuming that the gas in the pipeline is an ideal gas mixture, using the measured pressure P, temperature T and the volume V of the circulation chamber in the extraction equipment, the total molar number n is calculated using the gas state equation PV = nRT. Where R is the gas constant. Combined with the historical average methane mole fraction, the theoretical value of methane concentration m is calculated. theory .

[0091] (2) The monitoring center calculates the theoretical value of the methane concentration m theory Compare this with the monitored value m of the methane concentration in the multi-parameter data tuple to obtain the methane concentration deviation rate δ. The specific formula is as follows:

[0092]

[0093] (3) The monitoring center compares the methane concentration deviation rate δ with a preset deviation rate threshold to obtain a deviation rate comparison result; and based on the deviation rate comparison result, each of the multi-parameter data tuples is divided into an abnormal data tuple set and a normal data tuple set. For example, if the deviation rate threshold is 0.1, when the calculated methane concentration deviation rate δ exceeds the set threshold 0.1, the corresponding multi-parameter data tuple is divided into an abnormal data tuple and added to the abnormal data tuple set; when the calculated methane concentration deviation rate δ is lower than the set threshold 0.1, the corresponding multi-parameter data tuple is divided into a normal data tuple and added to the normal data tuple set, etc., and the embodiment of the present invention does not make specific limitations.

[0094] 202. Perform sliding window average filtering on the abnormal data tuple set to obtain a smoothed data tuple; and compare the smoothed data tuple with the historical data tuple of the corresponding measuring point to determine the methane concentration change rate, the carbon monoxide concentration change rate, and the oxygen concentration change rate;

[0095] In this embodiment of the present invention, the monitoring center performs sliding window averaging filtering on each of the abnormal data tuples in the abnormal data tuple set obtained in step 201 to generate smoothed data tuples. Specifically, a window size of 5 seconds can be used to generate the smoothed data tuples, although this embodiment of the present invention does not impose any specific limitation.

[0096] In addition, the monitoring center also compares the smoothed data tuple with the historical data tuple of the corresponding measuring point (for a certain measuring point, the historical data of the measuring point is the previous measurement data) to determine the methane concentration change rate, which is recorded as r m ; Determine the rate of change of carbon monoxide concentration, recorded as r c ; Determine the rate of change of oxygen concentration, recorded as r o .

[0097] 203. Compare the methane concentration change rate, the carbon monoxide concentration change rate, and the oxygen concentration change rate with a preset abnormality type assessment rule to obtain a gas extraction abnormality type determination result;

[0098] In the embodiment of the present invention, the monitoring center calculates the methane concentration change rate r m , carbon monoxide concentration change rate r c and oxygen concentration change rate r o Compare with the preset abnormal type assessment rules to obtain the gas extraction abnormal type judgment result. m |<0.05% and |r o |>0.02%, the gas extraction anomaly type is determined to be air intrusion; when |r c |>0.01% and the temperature change rate|r T |>1°C, the gas extraction anomaly type is determined to be a risk of coal spontaneous combustion, etc., which is not specifically limited in this embodiment of the present invention.

[0099] 204. Calculate the pressure difference between adjacent measuring points based on the smoothed data tuple; and estimate the theoretical pressure difference using the Bernoulli equation in combination with the geometric parameters and flow rate of the measuring pipeline;

[0100] In the embodiment of the present invention, the monitoring center calculates the pressure difference between adjacent measuring points based on the smoothed data tuple, which is recorded as δ P ; Combined with the geometric parameters and flow rate of the measuring pipe, the theoretical pressure difference is estimated by the Bernoulli equation, which is recorded as δ Ptheory Adjacent measuring points may be determined by smoothing the data labels of the data tuples. For example, "t1_1#_001" and "t1_1#_002" are adjacent measuring points, respectively representing the first and second measuring points of measuring pipeline No. 1 at time point t1. This embodiment of the present invention does not impose any specific limitation thereto.

[0101] 205. Calculate a pressure difference ratio between the pressure difference and the theoretical pressure difference, and compare the pressure difference ratio with a preset leakage risk assessment rule to obtain a gas drainage leakage risk assessment result;

[0102] In the embodiment of the present invention, the monitoring center calculates the pressure difference δ in step 204 P The theoretical pressure difference δ Ptheory The specific formula is as follows:

[0103]

[0104] After obtaining the pressure difference ratio γ, the monitoring center compares it with pre-set leakage risk assessment rules to determine the gas drainage leakage risk assessment result. If γ remains < 0.8 or γ > 1.2 throughout the measurement time at the measurement point, a leakage risk is determined in the gas drainage pipeline, and the location of the leakage point is determined based on the measurement point location indicated in the data tag.

[0105] 206. Generate a gas extraction operation status report according to the gas extraction abnormality type judgment result and the gas extraction leakage risk assessment result, and send the gas extraction operation status report to the mobile terminal.

[0106] In this embodiment of the present invention, the monitoring center generates a gas extraction operation status report based on the gas extraction anomaly type determination result obtained in step 203 and the gas extraction leakage risk assessment result obtained in step 205, and transmits the gas extraction operation status report to the mobile terminal. It should be noted that the gas extraction operation status report may also, as needed, plot a gas composition distribution map based on location and concentration, and mark the location information of the anomaly points.

[0107] An embodiment of the present invention provides a gas extraction detection method. Compared with the prior art, the present invention is used to set the equipment parameters of the gas extraction equipment and control the start and stop of the gas extraction equipment through a communication connection between a mobile terminal and the gas extraction equipment. It not only establishes a data transmission method between the mobile terminal and the gas extraction equipment, but also simplifies the equipment parameter setting steps of the gas extraction equipment and the start and stop control of the gas extraction equipment, and facilitates the operation and control of underground personnel. The present invention also receives the monitoring data uploaded by the gas extraction equipment in real time through a monitoring center, and performs intelligent analysis and processing based on the monitoring data to obtain gas extraction detection results, thereby improving the intelligent data analysis capability of gas extraction. The gas extraction detection system of the present invention can meet the inspection and detection needs of coal mine gas extraction pipeline networks, improve detection efficiency and real-time monitoring capabilities of data, and has broad application prospects.

[0108] Obviously, those skilled in the art will appreciate that the various modules or steps of the present invention described above can be implemented using a general-purpose computing device, centralized on a single computing device, or distributed across a network of multiple computing devices. Alternatively, they can be implemented using program code executable by a computing device, which can then be stored in a storage device and executed by the computing device. In some cases, the steps shown or described can be performed in a different order than that shown, or can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0109] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A gas extraction detection system, characterized in that: Including mobile terminals, gas extraction equipment and monitoring center; The mobile terminal is in communication with the gas extraction device, and is used to set device parameters for the gas extraction device and control the start and stop of the gas extraction device; The gas extraction equipment includes a measuring module, a control module, a communication module and a data processing and storage module; the control module is connected to the measuring module, the communication module and the data processing and storage module respectively; The monitoring center is wirelessly connected to the gas extraction equipment for receiving monitoring data uploaded by the gas extraction equipment in real time, and performing intelligent analysis and processing based on the monitoring data to obtain gas extraction detection results.

2. The system according to claim 1, wherein: The measuring module includes a flow rate measuring unit; the flow rate measuring unit includes an S-type pitot tube and a differential pressure meter connected by a hose; The total pressure hole and the static pressure hole of the S-type pitot tube are inserted into the center position of the pipe cross section at the test point, and the pressure difference between the total pressure hole and the static pressure hole is obtained by the differential pressure meter; The differential pressure meter sends the pressure difference measured by the S-type Pitot tube to the control module, so that the control module calculates the gas flow rate of the measured point based on the pressure difference.

3. The system according to claim 1, wherein: The measurement module includes a concentration measurement unit; the concentration measurement unit includes a laser methane sensor, an oxygen sensor, and a carbon monoxide sensor; The laser methane sensor, the oxygen sensor and the carbon monoxide sensor are all arranged in the gas circulation chamber, and are used to measure the methane concentration, oxygen concentration and carbon monoxide concentration respectively; and transmit the gas concentration data including the methane concentration, the oxygen concentration and the carbon monoxide concentration to the control module.

4. The system according to claim 1, wherein: The measurement module includes a temperature and pressure measurement unit; the temperature and pressure measurement unit uses a temperature and pressure sensor to measure the temperature and pressure in the gas extraction pipeline or near the drilling position, and transmits the temperature and pressure to the control module.

5. The system according to claim 1, wherein: The measurement module includes a positioning unit; the positioning unit identifies the drilling position based on NFC near-field communication, obtains positioning data, and transmits the positioning data to the control module.

6. The system according to claim 1, wherein: After the control module obtains the monitoring data uploaded by the measurement module in real time, the control module packages the monitoring data and sends it to the data processing and storage module; The data processing and storage module adds data tags to the packaged monitoring data, stores the tagged monitoring data locally, and transmits the tagged monitoring data to the monitoring center via wireless communication.

7. The system according to any one of claims 1 to 6, characterized in that: A wireless communication connection between the mobile terminal and the monitoring center; The gas extraction equipment uploads the monitoring data to the mobile terminal, so that the mobile terminal uploads the monitoring data to the monitoring center.

8. A gas extraction detection method, characterized in that: include: Using a mobile terminal to set equipment parameters for a gas extraction device, and after the gas extraction device is installed at a point to be tested, using the mobile terminal to start the gas extraction device; The gas extraction equipment opens the gas circuit valve through the control module to extract the gas from the pipeline under test into the gas circulation chamber; and obtains monitoring data through the measurement module, wherein the monitoring data includes pressure difference, methane concentration, oxygen concentration, carbon monoxide concentration, temperature, pressure and positioning data; The gas extraction equipment determines the gas flow rate corresponding to the pressure difference through a control module, and adds data tags to the gas flow rate, the methane concentration, the oxygen concentration, the carbon monoxide concentration, the temperature, and the pressure based on the positioning data through a data processing and storage module to obtain the labeled monitoring data; The gas extraction equipment transmits the tagged monitoring data to a monitoring center or a mobile terminal via a communication module; If the mobile terminal receives the tagged monitoring data, the mobile terminal transmits the tagged monitoring data to the monitoring center; The monitoring center performs intelligent analysis and processing on the labeled monitoring data to obtain gas extraction detection results.

9. The method according to claim 8, characterized in that The monitoring center performs intelligent analysis and processing on the labeled monitoring data to obtain gas extraction detection results, including: Combining monitoring data with the same monitoring time and consistent data labels into a multi-parameter data tuple; and dividing each of the multi-parameter data tuples into an abnormal data tuple set and a normal data tuple set according to the methane concentration deviation rate; Performing a sliding window average filtering process on the abnormal data tuple set to obtain a smoothed data tuple; and comparing the smoothed data tuple with the historical data tuple of the corresponding measuring point to determine the methane concentration change rate, the carbon monoxide concentration change rate, and the oxygen concentration change rate; Comparing the methane concentration change rate, the carbon monoxide concentration change rate, and the oxygen concentration change rate with a preset abnormality type assessment rule to obtain a gas extraction abnormality type judgment result; Calculating the pressure difference between adjacent measuring points based on the smoothed data tuple; and estimating the theoretical pressure difference using the Bernoulli equation in combination with the geometric parameters and flow rate of the measuring pipe; Calculating a pressure difference ratio between the pressure difference and the theoretical pressure difference, and comparing the pressure difference ratio with a preset leakage risk assessment rule to obtain a gas extraction leakage risk assessment result; A gas extraction operation status report is generated according to the gas extraction abnormality type judgment result and the gas extraction leakage risk assessment result, and the gas extraction operation status report is sent to the mobile terminal.

10. The method according to claim 9, characterized in that The method of dividing each of the multi-parameter data tuples into an abnormal data tuple set and a normal data tuple set according to the methane concentration deviation rate includes: Calculating a theoretical value of methane concentration based on the multi-parameter data tuple; Comparing the theoretical value of the methane concentration with the monitored value of the methane concentration to obtain a methane concentration deviation rate; The methane concentration deviation rate is compared with a preset deviation rate threshold to obtain a deviation rate comparison result; and based on the deviation rate comparison result, each of the multi-parameter data tuples is divided into an abnormal data tuple set and a normal data tuple set.

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