AI identification and cloud management and control method for gas pressure measurement by pointer type mechanical instrument

Abstract

The invention discloses an AI identification and cloud management and control method for gas pressure measurement by a pointer type mechanical instrument, and the method comprises the steps: firstly installing a video collection unit on an installation support of the outer wall of a gas pressure monitoring pipe of a measurement system, and capturing a dial plate picture of the pointer type mechanical instrument; the video acquisition unit continuously acquires video data of the pointer type mechanical instrument, transmits the video data to the mine end data processing unit for analysis and processing, and transmits the video data to the data and video storage server for storage; then the mine end data processing unit uploads related information generated after analysis and processing to a cloud management and control system in real time; and finally, an authorized user logs in the cloud server through network terminal equipment to query related data, and a worker controls the gas pressure according to a related data analysis result. The maximum value of the gas pressure is accurately captured within the sampling time interval, the data accuracy is improved, and the intelligent level and the safety performance of gas pressure measurement and control are enhanced.

Description

Technical Field

[0001] The present invention belongs to the technical field of gas pressure measurement and control, and specifically, relates to a method for AI recognition and cloud control of gas pressure measurement using a pointer-type mechanical instrument. Background Art

[0002] Gas pressure measurement plays a crucial role in coal mine safety production. It is a core index for accurately grasping the gas pressure situation in coal seams and evaluating the danger of gas outburst prevention and elimination. The accuracy and reliability of its measured value are directly related to the safety of coal mine production operations.

[0003] Traditional gas pressure measurement methods mainly rely on manual and irregular reading of the pressure values on the pointer-type mechanical instrument panel. This method has significant drawbacks. Since real-time recording cannot be achieved, when the sealing quality is poor or the surrounding rock deforms during the measurement process, resulting in pressure relief and air leakage in the pressure measurement chamber, within the time interval between two manual readings, the gas pressure may first increase and then decrease due to air leakage. And manual reading can only obtain the pressure value at a specific moment and cannot capture the maximum value (pressure peak) during the pressure change process, which is extremely likely to lead to a lower pressure measurement value recorded manually in the end, thus causing deviation in the evaluation of the danger of gas outburst prevention and elimination and posing a hidden danger to coal mine safety production. To improve this situation, some gas pressure measurements use electronic recording devices. Although such devices can record the complete pressure change curve of the gas pressure rising and falling, thereby obtaining the maximum value of the gas pressure, new problems have emerged. In practical applications, in order to avoid a series of safety measures and supervision problems that may be caused by gas pressure exceeding the limit, there is a phenomenon of manual malicious modification of the background monitoring data, which seriously affects the authenticity and reliability of the gas pressure data, makes the gas pressure measurement lose its due meaning, and also poses a serious threat to coal mine safety production. Therefore, a method for AI recognition and cloud control of gas pressure measurement using a pointer-type mechanical instrument that can accurately measure gas pressure, facilitate recording, and conduct gas pressure control is needed. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for AI recognition and cloud control of gas pressure measurement using a pointer-type mechanical instrument with accurate and timely detection results, so as to overcome the problems that manual reading in existing gas pressure measurement may miss the maximum gas pressure value and electronic records are easily tampered with manually.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions: A method for AI recognition and cloud control of gas pressure measurement using a pointer-type mechanical instrument, comprising the following steps: (1) Install the video acquisition unit on the mounting bracket on the outer wall of the gas pressure monitoring pipe of the measurement system to capture the dial picture of the pointer-type mechanical instrument; (2) The video acquisition unit continuously acquires the video data of the pointer-type mechanical instrument and transmits the video data to the mine-end data processing unit for analysis and processing, and at the same time transmits the video data to the data and video storage server for storage; (3) The mine-end data processing unit uploads the relevant information generated after analysis and processing to the cloud control system in real time; (4) Authorized users can query the relevant data by logging in to the cloud server through network terminal devices, and the staff conduct the control of gas pressure according to the relevant data analysis results.

[0006] The video acquisition unit includes a camera device and a lighting device. The specific operation process of step (1) is as follows: ① Install the camera device so that the lens of the camera device is vertically aligned with the center of the dial of the pointer-type mechanical instrument to ensure that the camera device clearly captures the entire dial of the mechanical instrument; ② Adjust the parameters of the camera device, including resolution, frame rate, and focal length, to ensure that a complete and non-deformed dial image and video are captured; ③ Establish a communication connection between the camera device and the management host of the mine-end data processing unit by means of a dedicated line or wirelessly, and at the same time establish a communication connection between the mine-end data processing unit and the cloud control system.

[0007] The mine-end data processing unit includes a video AI real-time analysis device. The specific processing process of the mine-end data processing unit in step (2) is as follows: The video acquisition unit transmits the video data to the video AI real-time analysis device of the mine-end data processing unit. The video AI real-time analysis device preprocesses each frame of the image in the video, including grayscale conversion, noise reduction, and edge detection, and then uses the trained deep learning model to perform dial number recognition on the preprocessed image, extracts the pressure numerical information, combines the timestamp information of the video frame, generates the original data containing time and pressure values, and transmits the original data to the data and video storage server.

[0008] After the image recognition generates the original data and stores the data, the maximum value capture is performed. The specific process is as follows: ① Initialization stage Reset the timer: t = 0; Identify the gas pressure P 1 at the current moment and the corresponding dial image S 1 , and assign P 1 to the storage variable P, and assign S 1 to the storage variable S, where P is the real-time gas pressure and S is the dial image corresponding to the current pressure; ② Sampling loop t = t + 1: The timer time increases by 1 second; Determine whether the time has reached the set sampling period interval: If t < T, proceed to the next step; if t ≥ T, return to the initialization stage and start a new sampling period again. ③ Update the pressure and the corresponding dial image and compare the pressure values Identify the gas pressure P at the current moment 2 and the corresponding dial image S 2 , if P 2 ≥ P 1 , then update the stored variables: P = P 2 , S = S 2 ; if P 2 <P 1 , then keep the stored variables P and S unchanged; ④ Repeat the above steps ① to ③ until the value of t exceeds the value of T. At this time, assign the values of P and S to the pressure peak P within the current sampling period max and the corresponding screenshot S max , and store them in the data and video storage server of the mine - side data processing unit. At the same time, through the communication mechanism established by the data processing and warning software and the cloud management software, upload them to the distributed data storage server in the cloud control system for storage backup, and then start a new maximum - value capture interval period.

[0009] The data processing and warning software compares the real - time identified pressure data with the set gas pressure threshold value. When it detects that the gas pressure data exceeds the set threshold value, it triggers the warning mechanism.

[0010] The specific process of step (3) is as follows: After receiving the data, the cloud management software of the cloud control system performs data integrity verification, and at the same time performs backup storage on the data, and establishes a two - dimensional table of the time index relationship between the corresponding pressure data and the maximum - value image and the local - stored video. Among them, the cloud control system adopts a distributed storage architecture to ensure the security and reliability of the data.

[0011] The specific process of step (4) is as follows: When it is necessary to conduct a detailed analysis of the gas pressure measurement process or accident investigation, the authorized user queries the gas pressure measurement data, the maximum - value image, and the corresponding video records according to conditions such as time, location, and equipment number, and views the change of the gas pressure value of the pointer - type mechanical instrument within a specific time period through the video back - tracking function, providing an intuitive basis for analyzing the reasons for abnormal gas pressure and further improving the scientificity and reliability of gas pressure measurement and control.

[0012] The measurement system includes a grouting pump, a mortar tank, a cement tank, a flushing water pump, a first connecting rubber hose, a second connecting rubber hose, a grouting pipe, a return slurry drain pipe, a gas pressure monitoring pipe, a collapse-proof ventilation cage, and a pointer-type mechanical instrument. The grouting pump is connected to the grouting pipe through the first connecting rubber hose. The pointer-type mechanical instrument is arranged on the gas pressure monitoring pipe. The length of the grouting pipe extending into the borehole < the length of the return slurry drain pipe extending into the borehole < the length of the gas pressure monitoring pipe extending into the borehole. The collapse-proof ventilation cage is arranged at the front end of the gas pressure monitoring pipe. The outlet of the flushing water pump is connected with the second connecting rubber hose, and the outlet of the second connecting rubber hose is connected to the lower port of the return slurry drain pipe through a quick connector.

[0013] The collapse-proof ventilation cage includes several support cross bars arranged on the circumference of the gas pressure monitoring pipe and parallel to the gas pressure monitoring pipe. The front ends of the several support cross bars are connected with several support diagonal bars. The front ends of the several support diagonal bars incline towards the extension line of the gas pressure monitoring pipe and converge at a point on the extension line of the gas pressure monitoring pipe to form a pointed end. Several support rings are arranged between the several support cross bars, and several support vertical bars are arranged between the support cross bars and the gas pressure monitoring pipe.

[0014] The grouting pump is connected to the cement tank through a first suction pipe, and the grouting pump is connected to the mortar tank through a second suction pipe; A grouting switch is arranged on the grouting pipe, a return slurry switch is arranged on the return slurry drain pipe, and a gas extraction switch is arranged on the gas extraction pipe; The return slurry drain pipe is connected to a water drainer through a connecting pipe, and a pipe switch is arranged on the connecting pipe.

[0015] This application can realize the real-time monitoring and recording of gas pressure, and can capture the maximum value during the gas pressure change process, so as to more accurately reflect the coal seam gas pressure situation, effectively avoiding the deviation of missing the gas pressure peak caused by poor sealing quality during the measurement process or pressure relief and air leakage in the pressure measurement chamber due to surrounding rock deformation during the measurement process.

[0016] This application adopts a video real-time recording, maximum value screenshot and third-party supervision anti-tampering mechanism, effectively preventing data from being maliciously tampered with, ensuring the authenticity and reliability of gas pressure data.

[0017] This application can more objectively reflect the coal seam gas pressure situation, providing more accurate data support for coal mine safety production. This helps to timely discover and handle potential gas outburst risks, effectively preventing the occurrence of gas accidents, thus significantly improving the safety of coal mine operations.

[0018] In summary, compared with the prior art, the present application has significant beneficial effects in gas pressure measurement, ensuring the authenticity and reliability of data recording, enhancing the safety of coal mine operations, effectively solving the problems existing in traditional measurement methods and electronic recording devices, ensuring the accurate capture of the maximum gas pressure and corresponding images within the sampling time interval, improving the accuracy and reliability of gas pressure measurement data, preventing the problem of data tampering in traditional gas pressure measurement, and further enhancing the intelligent level and safety performance of gas pressure measurement and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the mine-end data processing unit and cloud control system of the present invention.

[0020] Figure 2 It is a schematic structural diagram of the measurement system of the present invention.

[0021] Figure 3 is Figure 2 The enlarged view of part A in

[0022] Figure 4 It is a schematic structural diagram of the anti-collapse air-permeable cage of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] The following further illustrates the embodiments of the present invention with reference to the accompanying drawings.

[0024] As Figures 1-4 shown, the method for AI recognition and cloud control of gas pressure measurement by a pointer-type mechanical instrument includes the following steps: (1) Install the video acquisition unit on the mounting bracket 36 on the outer wall of the gas pressure monitoring pipe of the measurement system to capture the dial picture of the pointer-type mechanical instrument; (2) The video acquisition unit continuously acquires the video data of the pointer-type mechanical instrument and transmits the video data to the mine-end data processing unit 29 for analysis and processing, and at the same time transmits the video data to the data and video storage server 20 for storage; (3) The mine-end data processing unit 29 uploads the relevant information generated after analysis and processing to the cloud control system 22 in real time; (4) Authorized users can query the relevant data by logging in to the cloud server through a network terminal device, and the staff can control the gas pressure according to the relevant data analysis results.

[0025] The video acquisition unit includes a camera device 27 and a lighting device 28. The camera device 27 uses a high-definition camera, and the lighting device 28 uses a lighting lamp. The lighting lamp can improve the shooting clarity and ensure the quality of the captured images and videos. The specific operation process of step (1) is: ① Install the camera device 27 so that the lens of the camera device 27 is vertically aligned with the center of the dial of the pointer mechanical instrument, ensuring that the camera device 27 can clearly capture the entire dial of the mechanical instrument without cleaning. ② Adjust the parameters of the camera device 27, including resolution, frame rate, and focal length. Among them, the resolution should be above 1080P, and the frame rate is 25fps to ensure that a complete and non-deformed dial image and video can be captured. In addition, it can be set through the web management page built into the camera device 27 or the data processing and early warning software 31 of the mine-end data processing unit 29 (for the camera device 27 that supports secondary development, call its development interface and integrate it into the software).

[0026] ③ Establish a communication connection between the camera device 27 and the management host 30 of the mine-end data processing unit 29 in a dedicated line or wireless manner. At the same time, establish a communication connection between the mine-end data processing unit 29 and the cloud control system 22, which can be established through the underground industrial ring network 26.

[0027] The mine-end data processing unit 29 includes a video AI real-time analysis device 21. The specific processing process of the mine-end data processing unit 29 in step (2) is as follows: The video acquisition unit transmits the video data to the video AI real-time analysis device 21 of the mine-end data processing unit 29. The video AI real-time analysis device 21 preprocesses each frame of the image in the video, including grayscale conversion, noise reduction, and edge detection. Then, it uses the trained deep learning model to perform dial number recognition on the preprocessed image, extracts the pressure value information, combines it with the timestamp information of the video frame, generates the original data containing time and pressure values, and the timestamp can be accurate to the second or millisecond level. The recording format is, for example, "Time: 2024 - 11 - 27 10:30:25.567, Pressure value: 0.56MPa", and transmits the original data to the data and video storage server 20.

[0028] The timer is mainly used to track whether the current time has reached the end of the set maximum sampling interval period. After the image recognition generates the original data and stores the data, the maximum value capture is performed. The specific process is as follows: ① Initialization stage Reset the timer: t = 0; Identify the current gas pressure P 1 and the corresponding dial image S 1 , and assign P 1 to the storage variable P, and assign S 1 to the storage variable S, where P is the real-time gas pressure and S is the dial image corresponding to the current pressure; ② Sampling loop t = t + 1: The timer time increases by 1 second; Determine whether the time has reached the sampling interval: If t < T, proceed to the next step; if t ≥ T, return to the initialization stage and start a new sampling cycle; ③ Update the pressure and the corresponding dial image and compare the pressure values Identify the gas pressure P at the current moment 2 and the corresponding dial image S 2 , if P 2 ≥ P 1 , then update the stored variables: P = P 2 , S = S 2 ; if P 2 <P 1 , then keep the stored variables P and S unchanged; ④ Repeat the above steps ① to ③ until the t value exceeds the T value. At this time, assign the values of P and S to the pressure peak P max and the corresponding screenshot S max in the current sampling cycle, and store them in the data and video storage server 20 of the mine - side data processing unit 29. At the same time, through the communication mechanism established by the data processing and warning software 31 and the cloud management software 24, upload them to the distributed data storage server 25 in the cloud control system 22 for storage backup, and then start a new maximum value capture interval cycle.

[0029] The data processing and warning software 31 compares the real - time identified pressure data with the set gas pressure threshold. When it detects that the gas pressure data exceeds the set threshold, it triggers an early warning mechanism, such as pop - up warnings, text messages, etc. Load the artificial intelligence image recognition model in the video AI real - time analysis device 21 and perform parameter calibration. Set parameters such as the mine - side data storage area, the maximum value sampling interval period parameter T, the over - limit threshold, etc. in the data processing and warning software 31. And set the pre - (warning) information rule parameters and the communication connection parameters of the cloud management server 23 software. Set parameters such as the data storage area on the cloud management server 23 of the cloud management software 24.

[0030] The specific process of step (3) is as follows: After receiving the data, the cloud management software 24 of the cloud control system 22 performs data integrity verification, and at the same time backs up and stores the data, and establishes a two - dimensional table of the time index relationship between the corresponding pressure data and the maximum value image and the local stored video. Among them, the cloud control system 22 adopts a distributed storage architecture to ensure the security and reliability of the data, and also includes the cloud management server 23 for data backup and storage. The cloud control system 22 adopts a distributed storage architecture to ensure the security and reliability of the data.

[0031] The specific process of step (4) is as follows: When it is necessary to conduct a detailed analysis of the gas pressure measurement process or accident investigation, the authorized user queries the gas pressure measurement data, maximum value image, and corresponding video records according to conditions such as time, location, and equipment number, and views the change of the gas pressure value of the pointer-type mechanical instrument 9 within a specific time period through the video backtracking function, providing an intuitive basis for analyzing the reasons for abnormal gas pressure, and further improving the scientificity and reliability of gas pressure measurement and control.

[0032] The measurement system includes a grouting pump 1, a mortar tank 2, a cement tank 3, a first connecting rubber hose 4, a second connecting rubber hose 5, a grouting pipe 6, a return slurry drain pipe 7, a gas pressure monitoring pipe 8, an anti-collapse ventilation cage, and a pointer-type mechanical instrument 9. The grouting pump 1 is connected to the grouting pipe 6 through the first connecting rubber hose 4. The pointer-type mechanical instrument 9 is arranged on the gas pressure monitoring pipe 8. The length of the grouting pipe 6 extending into the borehole 16 < the length of the return slurry drain pipe 7 extending into the borehole 16 < the length of the gas pressure monitoring pipe 8 extending into the borehole 16. The anti-collapse ventilation cage is arranged at the front end of the gas pressure monitoring pipe 8. The outlet of the flushing water pump 32 is connected with the second connecting rubber hose 5, and the outlet of the second connecting rubber hose 5 is connected to the lower port of the return slurry drain pipe 7 through a quick connector. The anti-collapse ventilation cage includes a number of support cross bars 18 arranged on the circumference of the gas pressure monitoring pipe 8 and parallel to the gas pressure monitoring pipe 8. The front ends of the number of support cross bars 18 are connected with a number of support diagonal bars 19. The front ends of the number of support diagonal bars 19 are inclined towards the extension line of the central axis of the gas pressure monitoring pipe 8 and converge at a point on the extension line of the central axis of the gas pressure monitoring pipe 8 to form a pointed end. A number of support rings 34 are arranged between the number of support cross bars 18, and a number of support vertical bars 17 are arranged between the support cross bars 18 and the gas pressure monitoring pipe 8. The grouting pump 1 is connected to the cement tank 3 through a first suction pipe, and the grouting pump 1 is connected to the mortar tank 2 through a second suction pipe. A grouting switch 12 is arranged on the grouting pipe 6, a return slurry switch 13 is arranged on the return slurry drain pipe 7, and a monitoring switch 14 is arranged on the gas pressure monitoring pipe 8. The return slurry drain pipe 7 is connected to a water drainer 33 through a connecting pipe 35, and a pipe switch 15 is arranged on the connecting pipe 35.When the measuring system is in specific use, the grouting pipe 6, the gas pressure monitoring pipe 8 and the return slurry and water discharge pipe 7 are sequentially installed up and down in the borehole 16. First, the grouting pump 1 sucks the quick-drying cement 10 in the cement pool 3 and injects the quick-drying cement 10 into the borehole 16 through the grouting pipe 6. The injection volume does not exceed the depth of the grouting pipe 6 extending into the borehole 16. After the quick-drying cement 10 quickly solidifies, the grouting pump 1 sucks the cement mortar 11 in the mortar pool 2 and injects the cement mortar 11 into the borehole 16 again through the grouting pipe 6 until the cement mortar 11 starts to flow back in the return slurry and water discharge pipe 7. At this time, the outlet of the second connecting rubber hose 5 has not been connected to the lower port of the return slurry and water discharge pipe 7 through the quick connector. So when the cement mortar 11 starts to flow back in the return slurry and water discharge pipe 7, the staff can see the cement mortar 11 flowing out and quickly stop the grouting. To ensure that the return slurry and water discharge pipe 7 is not blocked by the cement mortar 11, which affects the accumulation and discharge of coal and rock fissure water, the outlet of the second connecting rubber hose 5 is connected to the lower port of the return slurry and water discharge pipe 7 through the quick connector, and high-pressure water is injected into the return slurry and water discharge pipe 7 through the flushing water pump 32. A small amount of high-pressure water flows into the cement mortar 11 or flows back through the return slurry and water discharge pipe 7 again, which does not affect the concentration of the cement mortar 11 and the normal monitoring of gas. The anti-collapse and breathable cage at the front end of the gas pressure monitoring pipe 8 can effectively prevent the phenomenon of borehole collapse, ensure the normal backflow of the return slurry and water discharge pipe 7 and the discharge of fissure water, as well as the normal monitoring work of the gas pressure monitoring pipe 8. The pointer-type mechanical instrument 9 is a pressure gauge.

[0033] This application can realize the real-time monitoring and recording of gas pressure, and can capture the maximum value in the process of gas pressure change, so as to more accurately reflect the coal seam gas pressure situation, effectively avoiding the deviation of missing the gas pressure peak caused by poor sealing quality during the measurement process or pressure relief and air leakage in the pressure measurement chamber due to surrounding rock deformation during the measurement process.

[0034] This application adopts a video real-time recording, maximum value screenshot and third-party supervision anti-tampering mechanism, effectively preventing data from being maliciously tampered with and ensuring the authenticity and reliability of gas pressure data.

[0035] This application can more objectively reflect the coal seam gas pressure situation, providing more accurate data support for coal mine safety production. This helps to timely discover and handle potential gas outburst risks, effectively prevent the occurrence of gas accidents, and thus significantly improve the safety of coal mine operations.

[0036] This application has remarkable creativity. Specifically, in this application, a video acquisition unit is deployed at the site of gas pressure measurement in coal mines. The pointer-type mechanical instrument 9 is recorded throughout the process by the imaging device 27, and the video data is stored in the mine-end data and video storage server 20. The real-time video stream collected by the imaging device 27 of this application passes through the video AI real-time analysis device 21, and the artificial intelligence image recognition technology is used to perform real-time analysis and recognition on the dial image of the pointer-type mechanical instrument 9, accurately extract the pressure numerical information, and integrate it with the time data to form a complete time series data of gas pressure changes, which is stored in the mine-end data and video storage server 20 by the data processing and early warning software 31. The data processing and early warning software 31 captures and issues an over-limit alarm based on the maximum value of the gas pressure within the set period. During the gas pressure measurement process, the data processing and early warning software 31 performs real-time analysis on the time series data of the gas pressure, intercepts the image of the maximum gas pressure displayed on the mechanical instrument panel within the set interval, and stores it in the mine-end data and video storage server 20, and synchronously pushes and uploads it to the cloud management server 23. If the analyzed gas pressure value exceeds the set alarm threshold, an alarm reminder is issued according to the preset mechanism. In addition, the cloud control unit of this application receives and stores the screenshots of the maximum gas pressure and the full-time series data pushed by the mine-end data processing unit 29 in real time, realizing remote backup of the gas pressure test data. The cloud control unit can be deployed in the central computer room of the group company or the coal mine safety supervision and management department, effectively preventing the problem of artificial tampering of local data storage. At the same time, a two-dimensional table of the time index relationship between the cloud gas pressure data and the maximum value image and the video stored at the mine end is established. When it is necessary to conduct a detailed analysis or accident investigation on the gas pressure measurement process, rapid search and positioning of the recorded video can be realized.

[0037] The automatic gas pressure recognition and cloud control method for the pointer-type mechanical instrument 9 based on AI video of the present invention can not only accurately record the maximum value during the gas pressure measurement process, but also, with the help of local video recording, trace back the pressure change situation displayed by the pointer-type mechanical instrument 9 during the gas pressure measurement process, effectively preventing data from being artificially tampered with. Based on the multiple guarantee mechanisms of video recording traceback, screenshot of the maximum gas pressure, and cloud upload of time series pressure data, the drawback of artificial tampering of gas pressure over-limit data is completely avoided, greatly improving the intelligent level and safety performance of gas pressure measurement and control, and providing strong technical support for coal mine safety production.

[0038] In summary, compared with the prior art, the present application has significant beneficial effects in gas pressure measurement, ensuring the authenticity and reliability of data recording, enhancing the safety of coal mine operations, effectively solving the problems existing in traditional measurement methods and electronic recording devices, ensuring the accurate capture of the maximum value image of gas pressure within the sampling time interval, improving the accuracy and reliability of gas pressure measurement data, and further enhancing the intelligent level and safety performance of gas pressure measurement and control.

[0039] The above embodiments are only used to illustrate rather than limit the technical solutions of the present invention. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that; modifications or equivalent replacements can still be made to the present invention, and any modification or partial replacement without departing from the spirit and scope of the present invention shall be covered by the scope of the claims of the present invention.

Claims

1. AI identification and cloud control method for measuring gas pressure with a pointer-type mechanical instrument, characterized by: The steps include: (1) Install the video acquisition unit on the mounting bracket on the outer wall of the gas pressure monitoring pipe of the measurement system to capture the dial image of the pointer-type mechanical instrument; (2) The video acquisition unit continuously collects video data of the pointer-type mechanical instrument and transmits the video data to the mine-end data processing unit for analysis and processing, and at the same time transmits the video data to the data and video storage server for storage; (3) The data processing unit at the mine end uploads the relevant information generated after analysis and processing to the cloud management and control system in real time; (4) Authorized users can query relevant data by logging into the cloud server through network terminal devices, and staff can control gas pressure based on the relevant data analysis results.

2. The AI ​​identification and cloud management method for measuring gas pressure using a pointer-type mechanical instrument according to claim 1 is characterized in that: The video acquisition unit includes a camera device and an illumination device. The specific operation process of step (1) is as follows: ① Install the camera device so that the camera lens is vertically aligned with the center of the dial of the pointer-type mechanical instrument to ensure that the camera device can clearly capture the entire dial of the pointer-type mechanical instrument; ② Adjust various parameters of the camera device, including resolution, frame rate and focal length, to ensure that complete and undistorted dial images and videos are captured; ③ Use dedicated line or wireless method to establish a communication connection between the camera device and the management host of the mine-end data processing unit, and at the same time establish a communication connection between the mine-end data processing unit and the cloud-based management and control system.

3. The AI ​​identification and cloud management method for measuring gas pressure using a pointer-type mechanical instrument according to claim 2 is characterized in that: The mine-end data processing unit includes a video AI real-time analysis device. The specific processing process of the mine-end data processing unit in step (2) is as follows: the video acquisition unit transmits the video data to the video AI real-time analysis device of the mine-end data processing unit, and the video AI real-time analysis device preprocesses each frame of the video, including grayscale, noise reduction, and edge detection, and then uses the trained deep learning model to recognize the dial numbers of the preprocessed image, extracts the pressure value information, and combines the timestamp information of the video frame to generate raw data containing time and pressure values, and transmits the raw data to the data and video storage server.

4. The AI ​​identification and cloud management method for measuring gas pressure using a pointer-type mechanical instrument according to claim 3 is characterized in that: After image recognition generates raw data and stores the data, the maximum value is captured. The specific process is as follows: ① Initialization phase Timer reset: t=0; Identify the current gas pressure P1 and the corresponding dial image S1, and assign P1 to the storage variable P, and assign S1 to the storage variable S, where P is the real-time gas pressure and S is the dial image corresponding to the current pressure; ②Sampling cycle t=t+1: the timer time increases by 1 second; Determine whether the time reaches the set sampling period interval: If t<T, proceed to the next step; if t≥T, return to the initialization stage and restart a new sampling cycle; ③Update the pressure and the corresponding dial image and compare the pressure value Identify the current gas pressure P2 and the corresponding dial image S2. If P2≥P1, update the storage variables: P=P2, S=S2; if P2<P1, keep the storage variables P and S unchanged; ④ Repeat the above steps ① to ③ until the t value exceeds the T value. At this time, the values ​​of P and S are assigned to the pressure peak value P in the current sampling period respectively. max And the corresponding screenshot S max , and stored in the data and video storage server of the mine-side data processing unit. At the same time, the communication mechanism established by the data processing and early warning software and the cloud management software is uploaded to the distributed data storage server in the cloud management and control system for storage backup, and then a new maximum value capture interval cycle begins.

5. The AI ​​identification and cloud management method for measuring gas pressure using a pointer-type mechanical instrument according to claim 4 is characterized in that: The data processing and early warning software compares the real-time identified pressure data with the set gas pressure threshold. When it is detected that the gas pressure data exceeds the set threshold, the early warning mechanism is triggered.

6. The AI ​​identification and cloud management method for measuring gas pressure using a pointer-type mechanical instrument according to claim 5 is characterized in that: The specific process of step (3) is as follows: after receiving the data, the cloud management software of the cloud management system performs a data integrity check, backs up and stores the data, and establishes a two-dimensional table of the time index relationship between the corresponding pressure data and the maximum value image and the locally stored video. Among them, the cloud management system adopts a distributed storage architecture to ensure the security and reliability of the data.

7. The AI ​​identification and cloud management method for measuring gas pressure using a pointer-type mechanical instrument according to claim 6 is characterized in that: The specific process of step (4) is as follows: when a detailed analysis or accident investigation of the gas pressure measurement process is required, the authorized user queries the gas pressure measurement data, the maximum value image and the corresponding video record according to the time, location, equipment number and other conditions, and uses the video backtracking function to view the change of the gas pressure value of the pointer-type mechanical instrument within a specific time period, so as to provide an intuitive basis for analyzing the cause of the abnormal gas pressure, and further improve the scientificity and reliability of the gas pressure measurement and control.

8. The AI ​​identification and cloud management method for measuring gas pressure using a pointer-type mechanical instrument according to claim 7 is characterized in that: The measuring system includes a grouting pump, a mortar pool, a cement pool, a flushing water pump, a first connecting hose, a second connecting hose, a grouting pipe, a return grouting water discharge pipe, a gas pressure monitoring pipe, an anti-collapse air cage and a pointer-type mechanical instrument. The grouting pump is connected to the grouting pipe through the first connecting hose. The pointer-type mechanical instrument is arranged on the gas pressure monitoring pipe. The length of the grouting pipe extending into the borehole is less than the length of the return grouting water discharge pipe extending into the borehole. The anti-collapse air cage is arranged at the front end of the gas pressure monitoring pipe. The outlet of the flushing water pump is connected to the second connecting hose. The outlet of the second connecting hose is connected to the lower port of the return grouting water discharge pipe through a quick-plug connector.

9. The AI ​​identification and cloud management method for measuring gas pressure using a pointer-type mechanical instrument according to claim 8 is characterized in that: The anti-collapse breathable cage includes a plurality of supporting cross bars which are arranged on the circumference of the gas pressure monitoring tube and parallel to the gas pressure monitoring tube, the front ends of the plurality of supporting cross bars are connected with a plurality of supporting oblique bars, the front ends of the plurality of supporting oblique bars are inclined toward the extension line of the gas pressure monitoring tube and converge at a point on the extension line of the gas pressure monitoring tube to form a tip; a plurality of supporting rings are arranged between the plurality of supporting cross bars, and a plurality of supporting vertical bars are arranged between the supporting cross bars and the gas pressure monitoring tube.

10. The AI ​​identification and cloud management method for measuring gas pressure using a pointer-type mechanical instrument according to claim 9 is characterized in that: The grouting pump is connected to the cement pool through a first suction pipe, and the grouting pump is connected to the mortar pool through a second suction pipe; The grouting pipe is provided with a grouting switch, the grouting drain pipe is provided with a grouting switch, and the gas extraction pipe is provided with an extraction switch; The return slurry drain pipe is connected to the drain device through a connecting pipe, and a pipe switch is arranged on the connecting pipe.

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