A method and system for evaluating the health status of lunar soil drilling and mining operations

Abstract

A method and system for assessing the health status of lunar soil drilling and production operations, relating to the field of planetary sampling and detection technology. The system solves the problems of artificial misjudgment, missed judgment, slow response, etc. in existing methods for assessing the health status of lunar soil drilling and production operations. The method includes: obtaining a bottom hole drill pressure model; establishing a load-procedure-depth curve database; extracting the response characteristic signal of the drilling pressure at the bottom of the drilling hole, and setting a threshold value in combination with the drilling fault condition, dividing the drilling operation process into a stable section and a fluctuating section, and establishing a stable section and a fluctuating section drilling operation health status assessment model according to the load curve characteristics of the stable section and the fluctuating section, respectively, and calculating the procedure matching degree according to the lunar soil drilling and production operation health status assessment model, thereby assessing the health status of the lunar soil drilling and production operation. The present invention is applied to the field of lunar drilling and production operations.

Description

Technical Field

[0001] The present invention relates to the field of planetary sampling and detection technology, and in particular to the field of planetary drilling and mining operation health status assessment. Background Art

[0002] Lunar soil is formed after billions of years of space weathering of lunar rocks. By studying the types, components and microscopic morphology of the lunar soil returned by lunar samples, we can obtain important information such as the material composition, foreign matter, and formation time of the original moon. This can provide a reference for early solar activity, related geological processes experienced by the early Earth, and even the origin and evolution of the universe.

[0003] At present, the lunar drilling and mining operations mainly use hollow spiral drills to drill into the lunar surface to sample the lunar subsurface soil. During the lunar soil drilling and mining process, ground experts mainly use telemetry data, especially the changes in load data, combined with drilling and mining procedures and fault plans established based on ground simulation tests, to estimate the working conditions that may be encountered during the drilling and mining process and adjust the drilling and mining procedures. Lunar drilling and mining operations are drilling problems under extreme conditions. The acquisition of telemetry data is limited, and the working conditions are complex and changeable. The current procedures and plans cannot fully cover all the encountered working conditions. Therefore, there are still a small number of working conditions, such as small sampling conditions, that still use manual interpretation methods, and the interpretation is often based on a single type of telemetry data, so there are problems such as manual misjudgment, slow response, non-intelligence, and difficulty in comprehensive interpretation of multiple types of data. These problems may make it difficult to evaluate the health status of lunar drilling and mining operations in real time, resulting in wrong decisions or small sampling, or even causing the lunar soil samples to fail to enter the packaging container smoothly, resulting in lunar soil sampling failure. Summary of the invention

[0004] In view of the problems of artificial misjudgment, missed judgment, slow response, etc. in the existing lunar soil drilling and mining health status assessment methods, the present invention proposes a lunar soil drilling and mining health status assessment method, and the specific scheme is as follows:

[0005] A method for assessing the health status of lunar soil drilling and mining operations, the method comprising:

[0006] S1. Analyze the motion state and mechanical transmission link of the lunar soil drilling system to obtain the bottom hole drilling pressure model;

[0007] S2. Collect lunar drilling and mining telemetry data and ground drilling and mining simulation test data with a sampling volume of ≥ 250g, and establish a load-protocol-depth curve database U F ;

[0008] S3, according to the load-regulation-depth curve database U FExtract the response characteristic signal of the drilling pressure at the bottom of the drilling hole, set the threshold value based on the drilling fault condition, divide the drilling operation process into the stable section Ss and the fluctuating section Ws, and evaluate the health status of the drilling operation in the stable section and the fluctuating section;

[0009] S4. Based on the least squares method, the bottom hole drilling pressure load curve under different regulations in the stable section Ss is fitted to obtain the load-regulation-stroke baseline data set B F ;

[0010] S5, calculating the envelope area of ​​the graph formed by the bottom hole drilling pressure telemetry data curve and the load-regulation-stroke baseline and the coordinate axis, and normalizing the envelope area using the drilling pressure threshold to obtain an initial matching degree P0;

[0011] S6. Using a grading algorithm to grade and adjust the initial matching degree, and obtain a matching degree P suitable for the health assessment level of the lunar soil drilling and mining operation state;

[0012] S7. Establish a lunar soil drilling and mining operation health status assessment model based on the matching degree P of the lunar soil drilling and mining operation health assessment level, calculate the procedure matching degree based on the lunar soil drilling and mining operation health status assessment model, and thus assess the health status of the lunar soil drilling and mining operation.

[0013] Furthermore, a preferred method is proposed, in which the bottom hole drilling pressure model in step S1 is:

[0014] F L +G=F tx +F z +F P

[0015] Among them, F L Indicates drilling pressure, G indicates the drilling rig's own gravity, F tx Indicates the core lifting force, F P Indicates chip removal resistance, F z Indicates the drilling pressure at the bottom of the hole.

[0016] Furthermore, a preferred method is proposed, wherein step S3 comprises:

[0017] The health status of drilling and production operations in the stable section Ss is determined based on the standard deviation σ and the peak-to-peak value vpp:

[0018] [σ5<σ'5||(σ5>σ'5&σ 25 <σ' 25 )]&[vpp5<vpp'5||(vpp5<vpp'5&vpp 25 <vpp' 25 )]

[0019] The health status of drilling and production operations in the fluctuation section Ws is determined based on the standard deviation σ and the peak-to-peak value vpp:

[0020] [σ5>σ'5&σ 25 >σ' 25 )]||[vpp5>vpp'5&vpp 25 >vpp' 25 ]

[0021] Among them, σ5 is the standard deviation of 5 consecutive bottom hole drilling pressure data, σ 25 is the standard deviation of 25 consecutive bottom hole pressure data, σ′5 and σ′2′5 are the thresholds corresponding to the standard deviation data; vpp5 is the peak-to-peak value and vpp of 5 consecutive bottom hole pressure data 25 is the peak-to-peak value of 25 consecutive bottom hole pressure data, vpp′5 and vpp′ 25 is the threshold corresponding to the peak-to-peak value data.

[0022] Furthermore, a preferred method is proposed, wherein step S4 comprises:

[0023]

[0024] in, is the load-protocol-stroke baseline, is the residual function, is the baseline bottom hole drilling pressure value, G p is the drilling program gear, h is the drilling depth, F zi It is the telemetered bottom hole drilling pressure value.

[0025] Furthermore, a preferred method is proposed, in which the initial matching degree in step S5 is:

[0026]

[0027] Among them, F zmax is the drilling pressure threshold, h g is the drilling depth at a certain moment in the middle of the stable section, h g-1 is the drilling depth at a certain moment in the middle of the stable segment, j is the initial moment of the stable segment, i is the current moment, and h is the drilling depth.

[0028] Furthermore, a preferred method is proposed, wherein step S6 comprises:

[0029] The initial matching degree P0 is adjusted by intervals according to the grading algorithm, from high to low corresponding to the drilling and mining operation evaluation level A, B, C, D and E, corresponding to the health status of the lunar soil drilling and mining operation from healthy to sub-healthy;

[0030] The equation expressions of the A to E levels corresponding to the matching degree P under different regulations are as follows:

[0031]

[0032] Among them, P(Gp) represents the matching degree of different gears, P i (Gp) indicates the matching degree when the gear is i. Grade A indicates that the drilling status is very healthy, no fault conditions are encountered and the injection status is good, and the drilling operation procedures need to remain the same; Grades B and C indicate that small particles are encountered or the injection status is good; Grades D and E indicate that non-nominal conditions are encountered or the injection status is very small, and the drilling operation health status is extremely poor.

[0033] Furthermore, a preferred method is proposed, wherein the method further comprises: verifying and correcting the health status assessment model of the drilling and production operation in the stable and fluctuating sections through the lunar surface drilling and production operation telemetry data and the ground simulation drilling and production test data, specifically:

[0034] S81. Select lunar drilling and mining operation telemetry data and more than 10 sets of ground drilling and mining simulation test data;

[0035] S82, using the steady-state and fluctuating-state drilling and production operation health status assessment models to calculate the matching degree P, and give decision-making suggestions;

[0036] S83. According to the decision suggestions provided by the drilling and production control strategy and the decision suggestions given by the drilling and production operation health status assessment model, combined with the expert decision during the test and the particle identification results of the lunar soil drilling and production operation process, the load-protocol-depth baseline data set and the matching parameter ε are adjusted and optimized;

[0037] S84. Repeat steps S81 to S83 to iteratively optimize the health status assessment model of lunar soil drilling and mining operations.

[0038] Based on the same inventive concept, the present invention also proposes a lunar soil drilling and mining operation health status assessment system, the system comprising:

[0039] An analysis unit is used to analyze the motion state and mechanical transmission link of the lunar soil drilling system and obtain the bottom hole drilling pressure model;

[0040] Data acquisition unit, used to collect lunar drilling operation telemetry data and ground drilling simulation test data with a sampling volume of ≥ 250g, and establish a load-protocol-depth curve database U F ;

[0041] The drilling process is divided into units for the load-protocol-depth curve database U F Extract the response characteristic signal of the drilling pressure at the bottom of the drilling hole, set the threshold value based on the drilling fault condition, divide the drilling operation process into the stable section Ss and the fluctuating section Ws, and evaluate the health status of the drilling operation in the stable section and the fluctuating section;

[0042] The fitting unit is used to fit the bottom hole pressure load curve under different regulations of the stable section (Ss) based on the least squares method to obtain the load-regulation-stroke baseline data set B F ;

[0043] An initial matching degree acquisition unit is used to calculate the envelope area of ​​the graph formed by the bottom hole drilling pressure telemetry data curve and the load-regulation-stroke baseline and the coordinate axis, and to normalize the envelope area using the drilling pressure threshold to obtain an initial matching degree P0;

[0044] A matching degree acquisition unit, used to grade and adjust the initial matching degree using a grading algorithm to obtain a matching degree P suitable for a health assessment level of the lunar soil drilling and mining operation state;

[0045] The evaluation unit is used to establish a lunar soil drilling and mining operation health status evaluation model according to the matching degree P of the lunar soil drilling and mining operation health assessment level, calculate the procedure matching degree according to the lunar soil drilling and mining operation health status evaluation model, and thus evaluate the health status of the lunar soil drilling and mining operation.

[0046] Based on the same inventive concept, the present invention also proposes a computer device, including a memory and a processor, wherein the memory stores a computer program. When the processor runs the computer program stored in the memory, the processor executes a method for assessing the health status of lunar soil drilling and mining operations as described in any one of the above items.

[0047] Based on the same inventive concept, the present invention also proposes a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of a method for assessing the health status of lunar soil drilling operations as described in any one of the above items are executed.

[0048] The present invention is beneficial in that:

[0049] The present invention proposes a method for assessing the health status of lunar soil drilling operations. By establishing a drilling pressure mechanics model and a depth curve database, the key response characteristic signals of the drilling operations are automatically extracted. This eliminates excessive reliance on single telemetry data and reduces manual intervention and possible misjudgments. The use of a grading algorithm and real-time data analysis technology can instantly assess and adjust the health status of drilling operations. This real-time feedback and decision support helps to respond quickly to changing working conditions and avoid problems caused by slow response. The database integrates drilling pressure data under different loads and procedures, and can cover a variety of working conditions. This comprehensive data processing method can better cope with the complex and changeable lunar drilling profile environment.

[0050] The present invention proposes a method for assessing the health status of lunar soil drilling and production operations. By establishing a drilling pressure model and a depth curve database, the assessment method is based on scientific and engineering principles, which improves the accuracy and reliability of the assessment. This allows the health status of the drilling and production operations to be determined and predicted more accurately. The introduction of initial matching and grading algorithms enables the system to quickly perform status assessment and adjustments based on real-time monitoring. This enhancement in real-time and responsiveness significantly reduces the potential risks brought about by decision-making delays and improves the efficiency and safety of operations. A special health status assessment model is established to automate and intelligentize the complex data processing and assessment processes. This not only increases the autonomy of the system, but also reduces the risks of human misjudgment and operation, making the entire drilling and production operation more reliable and efficient.

[0051] The present invention is applied to the field of lunar drilling and mining operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a flow chart of the health status assessment method for lunar soil drilling and mining operations;

[0053] Figure 2 The figure is a schematic diagram of the mechanical link of the lunar soil drilling and mining system, where 1 is the core lifting force; 2 is the weight of the drilling rig itself; 3 is the drilling pressure; 4 is the chip removal resistance; 5 is the drilling pressure at the bottom of the hole;

[0054] Figure 3 This is a schematic diagram of the division of the stable and fluctuating sections of lunar soil drilling and mining operations;

[0055] Figure 4 A health status assessment model for the steady phase of lunar soil drilling and mining operations;

[0056] Figure 5 A health status assessment model for the fluctuation period of lunar soil drilling and mining operations;

[0057] Figure 6 A schematic diagram of the optimization process of the health status assessment model for lunar soil drilling and mining operations;

[0058] Figure 7 This is a schematic diagram of the application of the health status assessment model for lunar soil drilling and mining operations;

[0059] Figure 8 This is an example of the application results of the health status assessment model for lunar soil drilling and mining operations. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0061] Implementation method 1, see Figure 1 The present embodiment describes a method for assessing the health status of lunar soil drilling operations, the method comprising:

[0062] S1. Analyze the motion state and mechanical transmission link of the lunar soil drilling system to obtain the bottom hole drilling pressure model;

[0063] S2. Collect lunar drilling and mining telemetry data and ground drilling and mining simulation test data with a sampling volume of ≥ 250g, and establish a load-protocol-depth curve database U F ;

[0064] S3, according to the load-regulation-depth curve database U F Extract the response characteristic signal of the drilling pressure at the bottom of the drilling hole, set the threshold value based on the drilling fault condition, divide the drilling operation process into the stable section Ss and the fluctuating section Ws, and evaluate the health status of the drilling operation in the stable section and the fluctuating section;

[0065] S4. Based on the least squares method, the bottom hole drilling pressure load curve under different regulations in the stable section Ss is fitted to obtain the load-regulation-stroke baseline data set B F ;

[0066] S5, calculating the envelope area of ​​the graph formed by the bottom hole drilling pressure telemetry data curve and the load-regulation-stroke baseline and the coordinate axis, and normalizing the envelope area using the drilling pressure threshold to obtain an initial matching degree P0;

[0067] S6. Using a grading algorithm to grade and adjust the initial matching degree, and obtain a matching degree P suitable for the health assessment level of the lunar soil drilling and mining operation state;

[0068] S7. Establish a lunar soil drilling and mining operation health status assessment model based on the matching degree P of the lunar soil drilling and mining operation health assessment level, calculate the procedure matching degree based on the lunar soil drilling and mining operation health status assessment model, and thus assess the health status of the lunar soil drilling and mining operation.

[0069] The lunar soil drilling and mining system described in this embodiment is the "Chang'e 5" drilling subsystem disclosed in the paper "Design of Core Feeding Mechanism for Shallow Lunar Soil Auger" by Pang Yong et al. in June 2021. By analyzing the motion state and mechanical transmission link of the lunar soil drilling and mining system, a drilling pressure mechanical model and depth curve database are established, thereby automatically extracting the key response characteristic signals of the drilling and mining operation. This eliminates excessive reliance on single telemetry data and reduces manual intervention and possible misjudgments. The use of hierarchical algorithms and real-time data analysis technology can instantly evaluate and adjust the health status of drilling and mining operations. This real-time feedback and decision support helps to respond quickly to changing working conditions and avoid problems caused by slow response. The database integrates drilling pressure data under different loads and procedures, and can cover a variety of working conditions. This comprehensive data processing method enables the system to better cope with the complex and changeable lunar surface environment.

[0070] By establishing a drilling pressure model and a depth curve database, the evaluation method is more based on scientific and engineering principles, which improves the accuracy and reliability of the evaluation. This allows the health status of drilling operations to be determined and predicted more accurately. The introduction of initial matching and grading algorithms enables the system to quickly evaluate and adjust the status based on real-time monitoring. This enhancement of real-time and responsiveness significantly reduces the potential risks caused by decision-making delays and improves the efficiency and safety of operations. A special health status assessment model has been established to automate and intelligentize the complex data processing and evaluation process. This not only increases the autonomy of the system, but also reduces the risk of human misjudgment and operation, making the entire drilling operation more reliable and efficient.

[0071] Implementation method 2: This implementation method further limits the health status assessment method of lunar soil drilling and mining operation described in implementation method 1. The bottom hole drilling pressure model in step S1 is:

[0072] F L +G=F tx +F z +F P

[0073] Among them, F L Indicates drilling pressure, G indicates the drilling rig's own gravity, F tx Indicates the core lifting force, F P Indicates chip removal resistance, F z Indicates the drilling pressure at the bottom of the hole.

[0074] The bottom hole drill pressure model described in this embodiment comprehensively considers the effects of multiple forces, including the drill's own gravity, core lifting force, chip removal resistance and other factors. Through this comprehensive model, the evaluation can have a more comprehensive understanding of the drilling situation of the drill in the lunar soil, so as to more accurately evaluate its health status. The quantitative analysis of each force in the model enables the pressure changes generated during the drilling process to be accurately captured and analyzed. This accuracy not only helps to monitor the drilling status in real time, but also predicts potential problems, intervenes and adjusts in advance to ensure the smooth progress of drilling operations. This method provides an operational evaluation framework that enables staff to make targeted adjustments and optimizations based on specific drilling data and real-time monitoring results. This applicability makes drilling operations more efficient and safer.

[0075] Implementation method 3: This implementation method further limits the health status assessment method of lunar soil drilling and mining operation described in implementation method 1. Step S3 includes:

[0076] The health status of drilling and production operations in the stable section Ss is determined based on the standard deviation σ and the peak-to-peak value vpp:

[0077] [σ5<σ′5||(σ5>σ′2σ25<σ25)]&[vvp5<vpp′5||(vpp5<vpp′5&vpp25<vpp′25)]

[0078] The health status of drilling and production operations in the fluctuation section Ws is determined based on the standard deviation σ and the peak-to-peak value vpp:

[0079] [σ5>σ′5&σ25>σ′25)]||[vpp5>vpp′5&vpp25>vpp′25]

[0080] Among them, σ5 is the standard deviation of 5 consecutive bottom hole drilling pressure data, σ 25 is the standard deviation of 25 consecutive bottom hole pressure data, σ5′ and σ2′5 are the thresholds corresponding to the standard deviation data; vpp5 is the peak-to-peak value and vpp of 5 consecutive bottom hole pressure data 25 The peak-to-peak values ​​of 25 consecutive bottom hole pressure data, vpp5′ and vpp′ 25 is the threshold corresponding to the peak-to-peak value data.

[0081] By calculating the standard deviation of 5 and 25 consecutive bottom hole WOB data and judging according to the preset threshold, the stable drilling operation stage can be accurately identified. This method can effectively distinguish the relatively stable stage of the drilling process and help to confirm the normal operation. Using the peak-to-peak value of 5 and 25 consecutive bottom hole WOB data and judging according to the preset threshold, the drilling operation stage with large changes can be identified. This analysis helps to quickly discover possible anomalies or fluctuations, and then take necessary measures to adjust the operation.

[0082] By real-time monitoring and calculating standard deviation and peak-to-peak value, the evaluation method can timely evaluate the status during the drilling operation. This real-time performance allows the current drilling situation to be quickly reflected, helping operators to adjust strategies and control parameters in real time to ensure the continuity and safety of operations.

[0083] This implementation method makes evaluation and judgment based on data analysis and threshold setting, which reduces the influence of subjective judgment and improves the objectivity and consistency of evaluation. This data-driven decision support helps improve the efficiency and quality of operations and ensures stable drilling and mining operations in the complex lunar soil environment.

[0084] Embodiment 4: This embodiment further limits the health status assessment method of lunar soil drilling and mining operation described in Embodiment 1, and step S4 includes:

[0085]

[0086] in, is the load-protocol-stroke baseline, is the residual function, is the baseline bottom hole drilling pressure value, G p is the drilling program gear, h is the drilling depth, F zi It is the telemetered bottom hole drilling pressure value.

[0087] Implementation mode 5: This implementation mode further limits the health status assessment method of lunar soil drilling and mining operation described in implementation mode 1. The initial matching degree in step S5 is:

[0088]

[0089] Among them, F zmax is the drilling pressure threshold, h g is the drilling depth at a certain moment in the middle of the stable section, h g-1 is the drilling depth at a certain moment in the middle of the stable segment, j is the initial moment of the stable segment, i is the current moment, and h is the drilling depth.

[0090] The parameters and calculation process mentioned in this embodiment can realize real-time monitoring of various parameters during the drilling process. By monitoring the changes in the initial matching degree, possible anomalies or deviations in the drilling operation can be quickly identified, so that timely measures can be taken to adjust or correct them, ensuring the stability and efficiency of the drilling operation.

[0091] Due to the particularity of the lunar environment, including low gravity and unstable surface conditions, this assessment method has a certain adaptability to environmental changes. It does not rely solely on static set values, but evaluates the operating status through dynamic calculation and monitoring, so it is more adaptable to the complex and changing lunar surface conditions.

[0092] Through real-time monitoring and accurate assessment, this assessment method helps to achieve preventive maintenance. Timely detection and treatment of potential problems can reduce equipment downtime, reduce maintenance costs, and ensure the continuity and stability of the entire drilling operation.

[0093] Embodiment 6: This embodiment further limits the health status assessment method of lunar soil drilling and mining operation described in embodiment 1, and step S6 includes:

[0094] The initial matching degree P0 is adjusted by intervals according to the grading algorithm, from high to low corresponding to the drilling and mining operation evaluation level A, B, C, D and E, corresponding to the health status of the lunar soil drilling and mining operation from healthy to sub-healthy;

[0095] The equation expressions of the A to E levels corresponding to the matching degree P under different regulations are as follows:

[0096]

[0097] Among them, P(Gp) represents the matching degree of different gears, P i (Gp) indicates the matching degree when the gear is i. Grade A indicates that the drilling status is very healthy, no fault conditions are encountered and the injection status is good, and the drilling operation procedures need to remain the same; Grades B and C indicate that small particles are encountered or the injection status is good; Grades D and E indicate that non-nominal conditions are encountered or the injection status is very small, and the drilling operation health status is extremely poor.

[0098] This implementation method can more accurately reflect the health status of drilling operations by adjusting the initial matching degree P0 by intervals, from high to low, divided into grades A to E. Each grade clearly defines the performance of drilling status and injection status, making the evaluation results more operational and practical. Each evaluation level has a clear equation expression to describe the specific situation corresponding to the matching degree P, such as P(G p ), P i (G p), etc. These indicators can help operators and decision makers understand and analyze the current status of drilling operations. This quantitative indicator system helps to adjust and optimize drilling procedures in a timely manner to maintain or improve the health of drilling operations. By regularly assessing the health status of drilling operations, possible problems or abnormal conditions can be discovered and diagnosed in a timely manner. This preventive assessment can help reduce the risk of sudden failures and production downtime, and improve the stability and reliability of drilling equipment and processes.

[0099] Implementation 7: This implementation is a further limitation of the method for evaluating the health status of lunar soil drilling and mining operations described in Implementation 1. The method further includes: verifying and correcting the healthy status evaluation model of the stable and fluctuating drilling and mining operations through lunar surface drilling and mining operation telemetry data and ground simulation drilling and mining test data, specifically:

[0100] S81. Select lunar drilling and mining operation telemetry data and more than 10 sets of ground drilling and mining simulation test data;

[0101] S82, using the steady-state and fluctuating-state drilling and production operation health status assessment models to calculate the matching degree P, and give decision-making suggestions;

[0102] S83. According to the decision suggestions provided by the drilling and production control strategy and the decision suggestions given by the drilling and production operation health status assessment model, combined with the expert decision during the test and the particle identification results of the lunar soil drilling operation process, the load-protocol-depth baseline data set and the matching parameter ε are adjusted and optimized;

[0103] S84. Repeat steps S81 to S83 to iteratively optimize the health status assessment model of lunar soil drilling and mining operations.

[0104] In this embodiment, the health status assessment model of drilling and production operations in the stable and fluctuating sections is verified and corrected by using lunar drilling and production operation telemetry data and multiple sets of ground drilling and production simulation test data. This comprehensive data source ensures the accuracy and applicability of the model and can more effectively reflect the situation in the actual operating environment. By calculating the matching degree P and combining the decision suggestions provided by the drilling and production control strategy with the suggestions of the evaluation model, more accurate and operational decision suggestions can be provided to the operation team. This method not only takes into account the results of data analysis, but also incorporates expert decision-making and actual operation experience, thereby improving the scientificity and practicality of decision-making. In this embodiment, it is also proposed to adjust and optimize the load-protocol-depth baseline data set and the matching degree parameter ε. This iterative optimization process can continuously improve the prediction ability and adaptability of the model. Through real-time adjustment and optimization, the evaluation model can better cope with the complex and changeable drilling and production operation environment, and improve the stability and reliability of the system. Repeating steps S81 to S83 and iteratively optimizing the evaluation model can continuously improve and enhance the efficiency and accuracy of the evaluation method. This continuous optimization process ensures the reliability and practicality of the method in long-term application, so that the health status assessment of drilling and production operations can always be maintained in the best state.

[0105] Embodiment 8: A lunar soil drilling and mining health status assessment system according to this embodiment, the system comprises:

[0106] An analysis unit is used to analyze the motion state and mechanical transmission link of the lunar soil drilling system and obtain the bottom hole drilling pressure model;

[0107] Data acquisition unit, used to collect lunar drilling operation telemetry data and ground drilling simulation test data with a sampling volume of ≥ 250g, and establish a load-protocol-depth curve database U F ;

[0108] The drilling process is divided into units for the load-protocol-depth curve database U F Extract the response characteristic signal of the drilling pressure at the bottom of the drilling hole, set the threshold value based on the drilling fault condition, divide the drilling operation process into the stable section Ss and the fluctuating section Ws, and evaluate the health status of the drilling operation in the stable section and the fluctuating section;

[0109] The fitting unit is used to fit the bottom hole pressure load curve under different regulations of the stable section (Ss) based on the least squares method to obtain the load-regulation-stroke baseline data set B F ;

[0110] An initial matching degree acquisition unit is used to calculate the envelope area of ​​the graph formed by the bottom hole drilling pressure telemetry data curve and the load-regulation-stroke baseline and the coordinate axis, and to normalize the envelope area using the drilling pressure threshold to obtain an initial matching degree P0;

[0111] A matching degree acquisition unit, used to grade and adjust the initial matching degree using a grading algorithm to obtain a matching degree P suitable for a health assessment level of the lunar soil drilling and mining operation state;

[0112] The evaluation unit is used to establish a lunar soil drilling and mining operation health status evaluation model according to the matching degree P of the lunar soil drilling and mining operation health assessment level, calculate the procedure matching degree according to the lunar soil drilling and mining operation health status evaluation model, and thus evaluate the health status of the lunar soil drilling and mining operation.

[0113] Embodiment 9. A computer device described in this embodiment includes a memory and a processor, wherein the memory stores a computer program. When the processor runs the computer program stored in the memory, the processor executes a method for assessing the health status of lunar soil drilling operations described in any one of embodiments 1 to 7.

[0114] Embodiment 10. A computer-readable storage medium described in this embodiment stores a computer program, and when the computer program is executed by a processor, the steps of a method for assessing the health status of lunar soil drilling operations as described in any one of embodiments 1 to 7 are executed.

[0115] Implementation Method XI: Combination Figures 1 to 8 This embodiment is described in detail by using specific examples to further describe the technical solution provided above. Specifically:

[0116] S1. Analyze the motion state and mechanical transmission link of the lunar soil drilling system and establish the bottom hole drilling pressure F z With drilling pressure F L , core lifting force F tx Telemetry data and drilling tool chip removal resistance F p The relationship between mechanical parameters.

[0117] S2. Collect telemetry data from lunar drilling operations and ground-based simulated drilling tests with large sampling volumes (≥250g), including depth h, procedure G p , drilling pressure F L , core lifting force F tx et al., established a database of load-protocol-depth curves for drilling pressure at the bottom of lunar soil drilling holes F .

[0118] S3, drilling pressure at the bottom of the hole for lunar soil extraction F z The response characteristic signals, including the load mean, standard deviation and peak-to-peak value, are used to set the boundary thresholds in combination with the drilling and production operation fault conditions, and the drilling and production process is divided into the stable section (Ss) and the fluctuating section (Ws).

[0119] S4. Based on the least squares method, the bottom hole drilling pressure load curves under different regulations in the stable section (Ss) are fitted to obtain the load-regulation-stroke baseline data set B F .

[0120] The envelope area is calculated based on the bottom hole drilling pressure telemetry data curve zua and the load-regulation-depth baseline, and the initial matching degree P0 is obtained after normalization using the drilling pressure threshold.

[0121] The initial matching degree is graded and adjusted using a grading algorithm to obtain a matching degree P suitable for the health assessment level of lunar soil drilling and mining operations.

[0122] The health status of the current lunar soil drilling and mining operations is evaluated based on the matching degree, and reasonable decision-making suggestions are provided, thereby establishing a healthy status assessment model for lunar soil drilling and mining operations in the stable phase (M- W s).

[0123] S5. When the standard deviation or peak-to-peak value of the load curve in the fluctuation section (Ws) exceeds the threshold, the matching degree is set to P=80%, and the drilling and mining operation is evaluated as the E-grade with the worst health status. Thus, a health status assessment model for lunar soil drilling and mining operations in the stable section (M-Ws) is established.

[0124] S6. Use the lunar drilling operation telemetry data and ground drilling simulation test data to verify and revise the health status assessment model for lunar soil drilling operations.

[0125] S7. The lunar soil drilling and mining health status assessment model can be used to calculate the procedure matching degree in real time and provide corresponding decision-making suggestions to assess the health status of lunar soil drilling and mining operations and provide support for expert decision-making.

[0126] Further, combined with Figure 2 , the mechanical link of the lunar surface drilling and production system is analyzed, and the mechanical model of the bottom hole drilling pressure 5 is obtained based on the telemetry data such as drilling pressure 3, core lifting force 1, and the drilling gravity 2 and chip removal resistance 4:

[0127] F L +G=F tx +F z +F P

[0128] Among them, F L Indicates drilling pressure, G indicates the drilling rig's own gravity, F tx Indicates the core lifting force, F P Indicates chip removal resistance, F z Indicates the drilling pressure at the bottom of the hole.

[0129] Further, such as Figure 3As shown in the figure, the standard deviation and peak-to-peak value of 5 and 25 data of bottom hole drilling pressure are calculated respectively, and the boundary thresholds of the standard deviation and peak-to-peak value are set in combination with the drilling fault condition. The drilling operation process is divided into a stable section and a fluctuating section, and different algorithm strategies are used to evaluate the health status of the drilling operation in the stable section and the fluctuating section.

[0130] The following is the formula for determining the plateau (Ss) based on the standard deviation σ and the peak-to-peak value vpp:

[0131] [σ5<σ′5||(σ5>σ′5&σ 25 <σ′ 25 )]&[vvp5<vpp′5||(vpp5<vpp′5&vpp 25 <vpp′ 25 )]

[0132] The following is the formula for determining the fluctuation segment (Ws) based on the standard deviation σ and the peak-to-peak value vpp:

[0133] [σ5>σ'5&σ 25 >σ' 25 )]||[vpp5>vpp'5&vpp 25 >vpp' 25 ]

[0134] Among them, σ5 and σ 25 is the standard deviation of 5 and 25 consecutive bottom hole pressure data, σ′5 and σ′ 25 is the threshold value corresponding to the standard deviation data; vpp5 and vpp 25 The peak-to-peak values ​​of 5 and 25 consecutive bottom hole pressure data, vpp5′ and vpp′ 25 is the threshold corresponding to the peak-to-peak value data.

[0135] Further, such as Figure 4 As shown in the figure, the health status of drilling and production operations in the stable section is evaluated based on the load curve in the stable section. Specifically:

[0136] Step 1: Use the least squares method to fit the bottom hole pressure curves under different procedures into the load-protocol-stroke baseline set B F .

[0137]

[0138] Among them, F z For telemetry drilling pressure data, is the baseline drilling pressure for the corresponding procedure. Get the load-procedure-stroke baseline The equation is as follows:

[0139]

[0140] Step 2: Calculate the envelope area of ​​the bottom hole drilling pressure telemetry curve and the load-protocol-travel baseline and coordinate axis, and normalize the area value by the drilling pressure threshold to obtain the initial matching degree.

[0141]

[0142] Among them, F zmax is the drilling pressure threshold, h g is the drilling depth at a certain moment in the middle of the stable section, h g-1 is the drilling depth at a certain moment in the middle of the stable segment, j is the initial moment of the stable segment, i is the current moment, and h is the drilling depth.

[0143] Step 3: According to the grading algorithm, the initial matching degree P0 is graded and adjusted according to the intervals, from high to low, corresponding to the A, B, C, D and E grades of the drilling and mining operation evaluation level, corresponding to the health status of the lunar soil drilling and mining operation from healthy to sub-healthy. The equation expressions of the matching degree P corresponding to the A~E grades under different regulations are as follows:

[0144]

[0145] Step 4. According to the matching degree P, Grade A indicates that the drilling status is very healthy, no fault conditions are encountered and the sampling status is good, and the drilling operation procedures need to remain the same; Grades B and C indicate that small particles are encountered or the sampling status is good, and it is necessary to consider the drilling status and sampling status after the procedure is adjusted to make comprehensive decision-making suggestions; Grades D and E indicate that non-nominal conditions are encountered or the sampling is very little, and the health status of the drilling operation is extremely poor, and the procedures need to be adjusted immediately for improvement, and reasonable decision-making suggestions are provided.

[0146] Further, such as Figure 5 As shown in Figure 1, the health status of drilling and mining operations in the fluctuation section is evaluated. The fluctuation section means that the lunar soil drilling process may encounter large stone particles or small particle groups, resulting in a high drilling pressure F at the bottom of the hole. z If the value is too large, drilling will be blocked or the sampling volume will be reduced, which is not good for the health of drilling operations. If the matching degree is set to P = 80%, it can be evaluated as the E-grade with the worst health of drilling operations. The following is the formula for determining the fluctuation segment based on the standard deviation σ and the peak-to-peak value vpp:

[0147] [σ5>σ'5&σ 25 >σ' 25 )]||[vpp'5>vpp'5&vpp 25 >vpp' 25 ]

[0148] Furthermore, the method also includes verifying and revising the health status assessment model of the stable and fluctuating drilling and production operations through the lunar surface drilling and production operation telemetry data and the ground simulation drilling and production test data, such as Figure 6 As shown, specifically:

[0149] Step 1: Select lunar drilling and production telemetry data and more than 10 sets of ground drilling and production simulation test data.

[0150] Step 2: Use the steady-state and fluctuating-state drilling and production operation health status assessment models to calculate the matching degree P and give decision recommendations.

[0151] Step 3: According to the decision suggestions provided by the drilling and production control strategy and the decision suggestions given by the drilling and production operation health status assessment model, combined with the expert decisions during the experiment and the particle identification results of the lunar soil drilling and production process, the load-procedure-depth baseline data set and the matching parameter ε are adjusted and optimized.

[0152] Step 4: Repeat steps 1 to 3 to iteratively optimize the health status assessment model for lunar soil drilling and mining operations.

[0153] Further, combined with Figure 7 and Figure 8 When the real-time telemetry data of the lunar soil drilling and mining operation is transmitted to the ground, the bottom hole drilling pressure of the lunar soil drilling and mining system is extracted using data processing software. According to the iteratively optimized lunar soil drilling and mining operation health status assessment model, the matching degree is calculated and corresponding decision suggestions are provided, which are sent to the ground command center to support expert decision-making.

[0154] Although the preferred embodiments of the present disclosure have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present disclosure.

[0155] Obviously, those skilled in the art can make various changes and modifications to the present disclosure without departing from the spirit and scope of the present disclosure. Thus, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and their equivalents, the present disclosure is also intended to include these modifications and variations.

[0156] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0157] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the functions specified in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0158] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0159] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present disclosure rather than to limit its protection scope. Although the present disclosure has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that after reading the present disclosure, those skilled in the art can still make various changes, modifications or equivalent substitutions to the specific implementation methods of the invention, but these changes, modifications or equivalent substitutions are all within the protection scope of the disclosed claims to be approved.

Claims

1. A method for assessing the health status of lunar soil drilling operations, characterized in that: The method comprises: Step S1, analyzing the motion state and mechanical transmission link of the lunar soil drilling system to obtain the bottom hole drilling pressure model; Step S2: Collect lunar drilling operation telemetry data and ground drilling simulation test data with a sampling volume of ≥ 250g, and establish a load-protocol-depth curve database U F ; Step S3: According to the load-regulation-depth curve database U F The response characteristic signal of the drilling pressure at the bottom of the drilling hole is extracted, and the threshold is set in combination with the drilling fault condition. The drilling operation process is divided into a stable section Ss and a fluctuating section Ws, and the health status of the drilling operation in the stable section and the fluctuating section is evaluated. Step S4: Based on the least squares method, the bottom hole pressure load curves under different regulations of the stable section Ss are fitted to obtain the load-regulation-stroke baseline data set B F ; Step S5, calculating the envelope area of ​​the graph formed by the bottom hole drilling pressure telemetry data curve and the load-regulation-stroke baseline and the coordinate axis, and normalizing the envelope area using the drilling pressure threshold to obtain an initial matching degree P0; Step S6: using a grading algorithm to grade and adjust the initial matching degree to obtain a matching degree P suitable for the health assessment level of the lunar soil drilling and mining operation state; Step S7, establishing a lunar soil drilling and mining operation health status assessment model according to the matching degree P of the lunar soil drilling and mining operation health assessment level, and calculating the procedure matching degree according to the lunar soil drilling and mining operation health status assessment model, thereby assessing the lunar soil drilling and mining operation health status; The initial matching degree in step S5 is: Among them, F zmax is the drilling pressure threshold, h g is the drilling depth at a certain moment in the middle of the stable section, h g-1 is the drilling depth at a certain moment in the middle of the stable segment, j is the initial moment of the stable segment, i is the current moment, h is the drilling depth, is the load-provision-travel baseline, F z It is the telemetry drilling pressure data.

2. A method for evaluating the health status of lunar soil drilling operations according to claim 1, characterized in that: The bottom hole drilling pressure model in step S1 is: F L +G=F tx +F z +F P Among them, F L Indicates drilling pressure, G indicates the drilling rig's own gravity, F tx Indicates the core lifting force, F P Indicates chip removal resistance.

3. The method for evaluating the health status of lunar soil drilling operations according to claim 1, characterized in that: The step S3 comprises: The health status of drilling and production operations in the stable section Ss is determined based on the standard deviation σ and the peak-to-peak value vpp: [σ5<σ′5||(σ5>σ′5&σ 25 <s′ 25 )]&[vpp5<vpp′5||(vpp5<vpp′5&vpp 25 <vpp′ 25 )] The health status of drilling and production operations in the fluctuation section Ws is determined based on the standard deviation σ and the peak-to-peak value vpp: [σ5>σ′5&σ 25 >s′ 25 )]||[vpp5>vpp′5&vpp 25 >vpp′ 25 ] Among them, σ5 is the standard deviation of 5 consecutive bottom hole drilling pressure data, σ 25 is the standard deviation of 25 consecutive bottom hole pressure data, σ′5 and σ′ 25 is the threshold corresponding to the standard deviation data; vpp5 is the peak-to-peak value and vpp of the drilling pressure data of 5 consecutive holes 25 is the peak-to-peak value of 25 consecutive bottom hole pressure data, vpp′5 and vpp′ 25 is the threshold corresponding to the peak-to-peak value data.

4. The method for evaluating the health status of lunar soil drilling operations according to claim 1, characterized in that: The step S4 comprises: in, is the load-protocol-stroke baseline, is the residual function, is the baseline bottom hole drilling pressure value, G p is the drilling program gear, h is the drilling depth, F zi It is the telemetered bottom hole drilling pressure value.

5. The method for evaluating the health status of lunar soil drilling operations according to claim 1, characterized in that: The step S6 comprises: The initial matching degree P0 is adjusted by intervals according to the grading algorithm, from high to low corresponding to the drilling and mining operation evaluation level A, B, C, D and E, corresponding to the health status of the lunar soil drilling and mining operation from healthy to sub-healthy; The equation expressions of the A to E levels corresponding to the matching degree P under different regulations are as follows: Among them, P(Gp) represents the matching degree of different gears, P i (Gp) indicates the matching degree when the gear is i. Grade A indicates that the drilling status is very healthy, no fault conditions are encountered and the injection status is good, and the drilling operation procedures need to remain the same; Grades B and C indicate that small particles are encountered or the injection status is good; Grades D and E indicate that non-nominal conditions are encountered or the injection status is very small, and the drilling operation health status is extremely poor.

6. The method for evaluating the health status of lunar soil drilling operations according to claim 1, characterized in that: The method further includes: verifying and revising the health status assessment model of drilling and production operations in the stable and fluctuating stages through lunar drilling and production operation telemetry data and ground simulation drilling and production test data, specifically: Step S81, selecting lunar drilling operation telemetry data and more than 10 groups of ground drilling simulation test data; Step S82, using the steady-state and fluctuating-state drilling and production operation health status assessment models to calculate the matching degree P, and give decision suggestions; Step S83: According to the decision suggestions provided by the drilling and production control strategy and the decision suggestions given by the drilling and production operation health status assessment model, combined with the expert decision during the test and the particle identification results of the lunar soil drilling and production operation process, the load-protocol-depth baseline data set and the matching parameter ε are adjusted and optimized; Step S84, repeat steps S81 to S83 to iteratively optimize the health status assessment model of lunar soil drilling and mining operations.

7. A lunar soil drilling and mining health status assessment system, characterized in that: The system comprises: An analysis unit is used to analyze the motion state and mechanical transmission link of the lunar soil drilling system and obtain the bottom hole drilling pressure model; Data acquisition unit, used to collect lunar drilling operation telemetry data and ground drilling simulation test data with a sampling volume of ≥ 250g, and establish a load-protocol-depth curve database U F ; The drilling process is divided into units for the load-protocol-depth curve database U F The response characteristic signal of the drilling pressure at the bottom of the drilling hole is extracted, and the threshold is set in combination with the drilling fault condition. The drilling operation process is divided into a stable section Ss and a fluctuating section Ws, and the health status of the drilling operation in the stable section and the fluctuating section is evaluated. The fitting unit is used to fit the bottom hole pressure load curve under different regulations in the stable section Ss based on the least squares method to obtain the load-regulation-stroke baseline data set B F ; The initial matching degree acquisition unit is used to calculate the envelope area of ​​the graph formed by the bottom hole drilling pressure telemetry data curve and the load-regulation-stroke baseline and the coordinate axis, and to normalize the envelope area using the drilling pressure threshold to obtain the initial matching degree P0; the initial matching degree is: Among them, F zmax is the drilling pressure threshold, h g is the drilling depth at a certain moment in the middle of the stable section, h g-1 is the drilling depth at a certain moment in the middle of the stable segment, j is the initial moment of the stable segment, i is the current moment, h is the drilling depth, is the load-provision-travel baseline, F z It is the telemetry drilling pressure data; A matching degree acquisition unit, used to grade and adjust the initial matching degree using a grading algorithm to obtain a matching degree P suitable for a health assessment level of the lunar soil drilling and mining operation state; The evaluation unit is used to establish a lunar soil drilling and mining operation health status evaluation model according to the matching degree P of the lunar soil drilling and mining operation health assessment level, calculate the procedure matching degree according to the lunar soil drilling and mining operation health status evaluation model, and thus evaluate the health status of the lunar soil drilling and mining operation.

8. A computer device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes a method for assessing the health status of lunar soil drilling and mining operations according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, executes the steps of a method for assessing the health status of lunar soil drilling operations as described in any one of claims 1 to 6.

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