Real-time monitoring method for coal seam drilling cutting quantity index based on torque
By monitoring torque in real time on the drill rig and converting it into drill cutting quantity index, combining linear interpolation method and data classification storage, the existing drill cutting cutting method has solved the problems of single monitoring results, large errors and simple data management in coal mine production, real-time and accurate monitoring and data management of different coal seams burial depths, and improving the accuracy of coal rock dynamic disaster prediction and the scientific nature of mining strategies.
Patent Information
- Application Number
- CN202510093310.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-21
- Publication Date
- 2025-05-02
AI Technical Summary
When the existing drill cutting method is used in coal mine production to predict coal rock dynamic disasters, there are problems such as single results, large influence on external operating accuracy and large errors. At the same time, it is difficult to adapt to the differences in physical and mechanical properties of different buried coal seams. The data management method is simple and lacks systematicity and standardization.
By installing sensors on the drill rig to monitor torque in real time, and convert the torque value into the drill cutting volume index value according to the functional relationship between the drill cutting volume index and the torque at different coal seams buried depths to achieve real-time monitoring. At the same time, linear interpolation method is used to process coal seam data at non-standard buried depths, and data in different coal seam areas are classified and stored and marked, and a historical data backtracking mechanism and expert knowledge base are established.
Real-time monitoring of different coal seams burial depths is achieved, the accuracy and reliability of coal rock dynamic disaster prediction is improved, production delays or safety hazards caused by information lag are reduced, the scope of application of monitoring methods is expanded, data management and mining strategies are optimized, and mining costs are reduced.
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Figure CN119918802A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of rock burst assessment in mining engineering, and in particular to a torque-based real-time monitoring method for coal seam cuttings indicators. Background Art
[0002] As one of the traditional methods for predicting coal and rock dynamic disasters, the drill cuttings method is a more commonly used prediction method in coal mine production. The test method is relatively simple and the test results are relatively accurate. However, it also has many disadvantages. The test results are relatively single and cannot be compared. It is greatly affected by the external operation accuracy, and the error caused by the influence of the drill rod itself during drilling is also large.
[0003] Coal seams at different burial depths have different physical and mechanical properties due to factors such as ground stress and geological structure. Existing monitoring methods often cannot adapt to such differences well, and lack accurate monitoring models for coal seams at different burial depths. In practical applications, the use of unified monitoring methods and models for coal seams at different depths greatly reduces the accuracy and reliability of monitoring results.
[0004] At the same time, in the large-scale operation of coal seam mining, coal seam data from many different regions are involved. The existing data management methods are mostly simple and lack systematicity and standardization. It is difficult to effectively classify, store, mark and query these data, which is not conducive to in-depth analysis and research on the changing laws of coal seams in different regions, and it is also impossible to provide strong data support for long-term mining planning and resource assessment.
[0005] The determination of internal stress of coal rock is difficult. During local verification drilling, the internal stress distribution of coal rock is related to the thickness of the coal wall. Different drilling depths will show different dynamic phenomena. The greater the internal stress of the coal body, the greater the brittleness of the coal itself. The thrust and torque of the drill rod will change with the stress, and the amount of coal powder discharged from the borehole will also change accordingly. The internal stress distribution of coal rock is monitored according to the change law of these parameters, and a prototype of drill cuttings method outburst prediction equipment is developed based on this theory, which provides a new idea for the prediction of coal rock dynamic disasters, improves the accuracy of disaster prediction, and provides a reliable basis for distinguishing disaster types.
[0006] content
[0007] The purpose of the present invention is to provide a real-time monitoring method for coal seam drill cuttings index based on torque. By comparing the changing laws of the drill cuttings amount and other drill rod parameters that occur during the drilling process with the drill cuttings amount, a multi-parameter comprehensive monitoring method is formed. Based on the original drill cuttings method, the torque value is converted into a drill cuttings index value according to the functional relationship between the drill cuttings index and the torque of the drill rod at different coal seam burial depths, so as to realize real-time monitoring and more accurately and effectively predict the risk of coal and rock dynamic disasters.
[0008] To achieve the above object, the present invention provides the following technical solutions:
[0009] A method for real-time monitoring of coal seam cuttings based on torque, characterized by comprising the following steps:
[0010] S1: Use a drill rig with a 42 mm diameter drill bit to drill into the coal seam at a nearly horizontal angle;
[0011] S2: Real-time monitoring of the drilling rig torque through sensors;
[0012] S3: According to the functional relationship between the drill cuttings amount index y and the torque x of the drill rod at different coal seam burial depths, the monitored torque value is converted into a drill cuttings amount index value to realize real-time monitoring of the drill cuttings amount index.
[0013] When the drilling rig is drilling in a coal seam with a buried depth of 500m, the cuttings index y of the drill rod is as follows:
[0014] y=3.373x 2 -41.982x+410.811
[0015] Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
[0016] When the drilling rig is drilling in a coal seam with a buried depth of 600m, the cuttings index y of the drill rod is as follows:
[0017] y=3.587x 2 -44.688x+394.175
[0018] Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
[0019] When the drilling rig is drilling in a coal seam with a buried depth of 700m, the cuttings index y of the drill rod is as follows:
[0020] y=3.481x 2 -42.898x+362.990
[0021] Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
[0022] When the drilling rig is drilling in a coal seam with a buried depth of 800m, the cuttings index y of the drill rod is as follows:
[0023] y=4.437x 2 -53.775x+345.073
[0024] Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
[0025] When the coal seam burial depth is between 500m and 800m, and is not 500m, 600m, 700m and 800m, the calculation is performed by the following steps:
[0026] S31: determining the buried depth of the coal seam, and obtaining two buried depths of the coal seam that are close to each other;
[0027] S32: Calculate the torques y2 and y1 under two conditions of similar burial depths of the coal seam;
[0028] S33: Obtain the torque y value under the burial depth condition by linear interpolation method.
[0029] Step S33 obtains the torque y value under the buried depth condition by linear interpolation method, which is specifically calculated by the following formula:
[0030]
[0031] Among them, (x1, y1) and (x2, y2) are points calculated according to the corresponding functional relationship at two adjacent known burial depths, and x is the torque value monitored at the current burial depth.
[0032] The method classifies, stores and marks the drilling cuttings indicators of different coal seam areas, and stores the data in different database tables or files according to the geographical location, burial depth and coal seam number information of the coal seam, so as to facilitate subsequent regional comparative analysis and research.
[0033] The method establishes a historical data backtracking mechanism, allowing users to query historical monitoring cuttings index data according to conditions such as time range and coal seam area.
[0034] An expert knowledge base is established based on real-time monitoring data, historical data and analysis results, and response strategies and suggestions are recorded. When an abnormal situation is monitored, targeted measures are given by querying the expert knowledge base to assist staff in making decisions by adjusting the drilling speed, changing the drilling direction or stopping drilling.
[0035] First, a drill bit with a diameter of 42 mm is used to drill in the coal seam at a nearly horizontal angle. The torque of the drill rig during the drilling process is monitored in real time by sensors. The torque reflects the resistance of the coal seam to drilling. For coal seams with different burial depths, a specific functional relationship between the drill cuttings index and the torque of the drill rod is obtained through a large number of experiments and data fitting in advance. There are corresponding function formulas for burial depths of 500m, 600m, 700m, and 800m. When the burial depth of the coal seam is between 500m and 800m and is not the above standard depth, two known burial depths of the coal seam are determined first, and the torque under the conditions of these two burial depths is calculated. Then, the torque value under the burial depth is calculated by a specific formula using the linear interpolation method, and then the monitored torque value is substituted into the corresponding function relationship to convert it into a drill cuttings index value to achieve real-time monitoring. At the same time, the drill cuttings index of different coal seam areas is classified, stored and marked according to information such as geographical location, burial depth, and coal seam number, and a historical data backtracking mechanism is established to facilitate users to query historical monitoring data according to time range, coal seam area and other conditions. In addition, an expert knowledge base is established based on real-time monitoring data, historical data and their analysis results to record response strategies and suggestions. When abnormal situations are monitored, targeted measures are given by querying the expert knowledge base, such as adjusting the drilling speed, changing the drilling direction or stopping drilling, to assist staff in making decisions.
[0036] Compared with the prior art, the present invention has the following beneficial effects:
[0037] The sensor monitors the drilling rig torque in real time and can quickly convert the torque value into the cuttings index value. Compared with the traditional monitoring method, it can obtain the coal seam cuttings index data in a timely manner, provide real-time information support for on-site decision-making, and effectively improve work efficiency and response speed. In the complex and changeable coal seam mining environment, real-time data allows workers to grasp the coal seam status at the first time, adjust the mining strategy in time, and avoid production delays or safety hazards caused by information lag.
[0038] Not only has the functional relationship between the drill cuttings index and the torque been established for coal seams with specific burial depths, but the linear interpolation method has also been used to calculate coal seams at non-standard burial depths, which can meet the monitoring needs of coal seams at different depths and expand the scope of application of the monitoring method. It can cover a wider range of coal seam burial depths, and can accurately monitor the drill cuttings index for both shallow and deep coal seams, providing a unified and effective monitoring method for coal seam mining in different regions.
[0039] The cuttings indicators of different coal seam areas are classified, stored and marked according to geographical location, burial depth, coal seam number and other information, and a historical data backtracking mechanism is established to facilitate users to query historical monitoring data according to time range, coal seam area and other conditions, which is conducive to systematic management and analysis of data and provides convenience for subsequent regional comparative analysis and research. In large-scale coal seam mining operations, coal seam data from many different regions are involved. The data management method of this method enables staff to quickly and accurately retrieve the required data, conduct comparative analysis of different regions and different times, summarize the laws of coal seam changes, and provide strong data support for long-term mining planning and resource assessment.
[0040] An expert knowledge base is established based on real-time monitoring data, historical data and their analysis results. When an abnormal situation is monitored, targeted measures can be given by querying the expert knowledge base, such as adjusting the drilling speed, changing the drilling direction or stopping drilling, to assist staff in making scientific decisions, improve the safety and stability of the drilling process, and reduce potential risks.
[0041] The use of a drill bit with a fixed diameter of 42 mm and drilling at a near-horizontal angle ensures the standardization of the drilling process and reduces the errors caused by differences in drill bit size and drilling angle. Combined with high-precision sensors to monitor torque in real time, the calculation of the drill cuttings index is more accurate, and the monitoring results can better reflect the actual situation of the coal seam. In actual operation, standardized drilling methods help to unify data collection standards and improve the comparability and reliability of data. High-precision sensors and precise calculation methods can capture subtle changes in coal seams, provide more accurate technical support for coal seam mining, and help improve the mining efficiency and quality of coal resources.
[0042] Through real-time monitoring and precise calculation, this method can detect abnormal conditions in coal seams in a timely manner, avoiding equipment damage and waste of resources caused by blind mining. At the same time, effective data management can optimize mining plans, reduce unnecessary mining steps and resource inputs, and reduce the cost of coal seam mining as a whole, thereby improving economic benefits. Compared with some existing technologies that require frequent equipment replacement or complex operations, this method reduces equipment maintenance and labor costs while ensuring monitoring results, and has a higher cost-effectiveness ratio.
[0043] The data management and expert knowledge base system of this monitoring method has good scalability. With the continuous progress of coal seam mining and the continuous accumulation of new data, new data and experience can be easily added to the system to further improve the expert knowledge base and improve the accuracy and adaptability of the monitoring method. At the same time, this method can be integrated with other related monitoring technologies and equipment to form a more comprehensive and intelligent coal seam mining monitoring system to meet the needs of future coal seam mining technology development. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] Figure 1 The present invention is a flow chart of the method for real-time monitoring of coal seam cuttings quantity indicators based on torque. Specific implementation methods
[0046] The technical solutions in the embodiments of the present invention will be fully described below in conjunction with the accompanying drawings in the embodiments of the present invention.
[0047] like Figure 1 As shown, the method for real-time monitoring of coal seam cuttings amount index based on torque is characterized by comprising the following steps:
[0048] S1: Use a drill rig with a 42 mm diameter drill bit to drill into the coal seam at a nearly horizontal angle;
[0049] S2: Real-time monitoring of the drilling rig torque through sensors;
[0050] S3: According to the functional relationship between the drill cuttings amount index y and the torque x of the drill rod at different coal seam burial depths, the monitored torque value is converted into a drill cuttings amount index value to realize real-time monitoring of the drill cuttings amount index.
[0051] When the drilling rig is drilling in a coal seam with a buried depth of 500m, the cuttings index y of the drill rod is as follows:
[0052] y=3.373x 2 -41.982x+410.811
[0053] Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
[0054] When the drilling rig is drilling in a coal seam with a buried depth of 600m, the cuttings index y of the drill rod is as follows:
[0055] y=3.587x 2 -44.688x+394.175
[0056] Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
[0057] When the drilling rig is drilling in a coal seam with a buried depth of 700m, the cuttings index y of the drill rod is as follows:
[0058] y=3.481x 2 -42.898x+362.990
[0059] Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
[0060] When the drilling rig is drilling in a coal seam with a buried depth of 800m, the cuttings index y of the drill rod is as follows:
[0061] y=4.437x2 -53.775x+345.073
[0062] Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
[0063] When the coal seam burial depth is between 500m and 800m, and is not 500m, 600m, 700m and 800m, the calculation is performed by the following steps:
[0064] S31: determining the buried depth of the coal seam, and obtaining two buried depths of the coal seam that are close to each other;
[0065] S32: Calculate the torques y2 and y1 under two conditions of similar burial depths of the coal seam;
[0066] S33: Obtain the torque y value under the burial depth condition by linear interpolation method.
[0067] Step S33 obtains the torque y value under the buried depth condition by linear interpolation method, which is specifically calculated by the following formula:
[0068]
[0069] Among them, (x1, y1) and (x2, y2) are points calculated according to the corresponding functional relationship at two adjacent known burial depths, and x is the torque value monitored at the current burial depth.
[0070] The method classifies, stores and marks the drilling cuttings indicators of different coal seam areas, and stores the data in different database tables or files according to the geographical location, burial depth and coal seam number information of the coal seam, so as to facilitate subsequent regional comparative analysis and research.
[0071] The method establishes a historical data backtracking mechanism, allowing users to query historical monitoring cuttings index data according to conditions such as time range and coal seam area.
[0072] An expert knowledge base is established based on real-time monitoring data, historical data and analysis results, and response strategies and suggestions are recorded. When an abnormal situation is monitored, targeted measures are given by querying the expert knowledge base to assist staff in making decisions by adjusting the drilling speed, changing the drilling direction or stopping drilling.
[0073] In the specific implementation, a drilling rig equipped with a 42mm diameter drill bit is first used to carry out drilling operations in the coal seam at a nearly horizontal angle. At the same time, the torque of the drilling rig during the drilling process is monitored in real time and accurately through sensors. The torque can intuitively reflect the resistance of the coal seam to drilling. For coal seams with different burial depths, the specific functional relationship between the drill rod cuttings index and the torque obtained by experiments and accurate data fitting is used for calculation. If the coal seam burial depth is exactly 500m, 600m, 700m, and 800m, the monitored torque value is directly substituted into the corresponding function formula to obtain the cuttings index value; when the coal seam burial depth is between 500m and 800m and is not the above standard depth, first find two known burial depths close to the coal seam burial depth, calculate the torque under the two burial depths, and then use the linear interpolation method to calculate the torque value under the burial depth condition through a specific formula, and then substitute it into the corresponding function relationship to obtain the cuttings index value, so as to realize the real-time monitoring of the cuttings index. In addition, the cuttings indicators of different coal seam areas are classified, stored and marked according to the geographical location, burial depth, coal seam number and other detailed information of the coal seam, and a historical data backtracking mechanism is constructed to facilitate users to easily query historical monitoring data based on time range, coal seam area and other conditions. In addition, an expert knowledge base is established based on real-time monitoring data, historical data and in-depth analysis results, and response strategies and reasonable suggestions are recorded in detail. Once an abnormal situation is detected, targeted measures such as adjusting the drilling speed, changing the drilling direction or stopping drilling can be quickly given by querying the expert knowledge base, providing strong assistance for the staff's decision-making.
Claims
1. A method for real-time monitoring of coal seam cuttings based on torque, characterized in that The following steps are involved: S1: Use a drill rig with a 42 mm diameter drill bit to drill into the coal seam at a nearly horizontal angle; S2: Real-time monitoring of the drilling rig torque through sensors; S3: According to the functional relationship between the drill cuttings amount index y and the torque x of the drill rod at different coal seam burial depths, the monitored torque value is converted into a drill cuttings amount index value to realize real-time monitoring of the drill cuttings amount index.
2. The method for real-time monitoring of coal seam cuttings based on torque according to claim 1, characterized in that: When the drilling rig is drilling in a coal seam with a buried depth of 500m, the cuttings index y of the drill rod is as follows: <h2 style=";text-align:left;direction:ltr">y = 3.373x<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> -41.982x+410.811 Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
3. The method for real-time monitoring of coal seam cuttings based on torque according to claim 1, characterized in that: When the drilling rig is drilling in a coal seam with a buried depth of 600m, the cuttings index y of the drill rod is as follows: y=3.587x 2 -44.688x+394.175 Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
4. The method for real-time monitoring of coal seam cuttings based on torque according to claim 1, characterized in that: When the drilling rig is drilling in a coal seam with a buried depth of 700m, the cuttings index y of the drill rod is as follows: y=3.481x 2 -42.898x+362.990 Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
5. The method for real-time monitoring of coal seam cuttings based on torque according to claim 1, characterized in that: When the drilling rig is drilling in a coal seam with a buried depth of 800m, the cuttings index y of the drill rod is as follows: <h2 style=";text-align:left;direction:ltr">y = 4.437x<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> -53.775x+345.073 Among them, y is the drilling cuttings index, and x is the torque at the current burial depth.
6. The method for real-time monitoring of coal seam cuttings based on torque according to claim 1, characterized in that: When the coal seam burial depth is between 500m and 800m, and is not 500m, 600m, 700m and 800m, the calculation is performed by the following steps: S31: determining the buried depth of the coal seam, and obtaining two buried depths of the coal seam that are close to each other; S32: Calculate the torques y2 and y1 under two conditions of similar burial depths of the coal seam; S33: Obtain the torque y value under the burial depth condition by linear interpolation method.
7. The method for real-time monitoring of coal seam cuttings based on torque according to claim 6, characterized in that: Step S33 obtains the torque y value under the buried depth condition by linear interpolation method, which is specifically calculated by the following formula: Among them, (x1, y1) and (x2, y2) are points calculated according to the corresponding functional relationship at two adjacent known burial depths, and x is the torque value monitored at the current burial depth.
8. The method for real-time monitoring of coal seam cuttings based on torque according to claim 1, characterized in that: The method classifies, stores and marks the drilling cuttings indicators of different coal seam areas, and stores the data in different database tables or files according to the geographical location, burial depth and coal seam number information of the coal seam, so as to facilitate subsequent regional comparative analysis and research.
9. The method for real-time monitoring of coal seam cuttings based on torque according to claim 1, characterized in that: The method establishes a historical data backtracking mechanism, allowing users to query historical monitoring cuttings index data according to conditions such as time range and coal seam area.
10. The method for real-time monitoring of coal seam cuttings based on torque according to claim 1, characterized in that: An expert knowledge base is established based on real-time monitoring data, historical data and analysis results, and response strategies and suggestions are recorded. When an abnormal situation is monitored, targeted measures are given by querying the expert knowledge base to assist staff in making decisions by adjusting the drilling speed, changing the drilling direction or stopping drilling.