Real-time monitoring method and system for mine geological drilling production

Abstract

The invention relates to the technical field of drilling monitoring, in particular to a real-time monitoring method and system for mine geological drilling production. Acquiring time sequence data of various operation parameters such as torque, vibration, drilling pressure and rotating speed of the drilling machine; in view of continuous drilling machine abnormity, continuous fluctuation of operation parameters can be caused, and the abnormity occurrence rate of the drilling machine at the current moment is quantified according to the deviation of the drilling pressure value, the rotation speed and the rated value and the fluctuation conditions of the vibration value and the torque value at all moments. Meanwhile, in consideration of abnormal fluctuation of operating parameters caused by mineral resource enrichment and uneven regional rock stratum structure, the coupling condition between torque and vibration is further analyzed, and the operating state abnormal degree value of the drilling machine is determined by combining the operating state abnormal rate of the drilling machine at the current moment. Therefore, the influence of geological factors on a real-time monitoring result is eliminated. And finally, real-time monitoring is carried out based on the state abnormity degree value of the drilling machine at the current moment, and a more accurate monitoring result is obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of drilling monitoring, and particularly to a real-time monitoring method and system for mine geological drilling production. Background Art

[0002] Mine geological drilling is mainly used in fields such as mineral exploration and geological survey. Geological information underground is obtained through drilling holes to provide support for mineral exploration, geological survey, etc. With the development of modern information technology, real-time monitoring technology has been widely applied in industrial production. During the process of mine geological drilling production operation, the running state of the drill directly affects the drilling efficiency and safety. Therefore, it is usually necessary to conduct real-time monitoring on the process of mine geological drilling production operation.

[0003] There are numerous running parameters of the drill, including torque, vibration, drilling pressure, etc. When the prior art conducts real-time monitoring on the process of mine geological drilling production operation, it usually analyzes the running parameters at the current moment, and determines whether the running state of the drill is abnormal according to whether the numerical value exceeds the safety range. However, in the actual scenario, the operation environment of mine geological drilling is complex and changeable. For example, the rock formation structure is uneven. Then, due to the influence of geological conditions during the running process of the drill, the running parameters will have small-range normal fluctuations. Therefore, if it is only judged whether the running state of the drill is abnormal based on whether the numerical value at a single moment exceeds the safety range, it may lead to misjudgment, affecting the accuracy of real-time monitoring of the drilling production operation process, and thus increasing the maintenance cost. Summary of the Invention

[0004] In order to solve the technical problem that due to the influence of geological conditions during the running process of the drill, the running parameters will have small-range normal fluctuations. Therefore, if it is only judged whether the running state of the drill is abnormal based on whether the numerical value at a single moment exceeds the safety range, it may lead to misjudgment, affecting the accuracy of real-time monitoring of the drilling production operation process, the purpose of the present invention is to provide a real-time monitoring method and system for mine geological drilling production. The specific technical solutions adopted are as follows: During the process of mine geological drilling production operation, obtain the time-series data of various running parameters of the drill. Among them, the running parameters include the torque, vibration, drilling pressure, and rotational speed of the drill bit. For any moment, according to the deviation between the drilling pressure value and the rotational speed at this moment and their respective rated values, the fluctuation conditions of the vibration value and the torque value at the historical moment before this moment's time series, determine the abnormal occurrence rate of the drill at this moment; based on the change conditions of the abnormal occurrence rate of the drill at all moments, determine the abnormal rate of the running state of the drill at the current moment. Analyze the coupling situation between the torque value in the torque time series data and the vibration value in the vibration time series data, and combine the abnormal rate of the operating state of the drilling rig at the current moment to determine the abnormal degree value of the operating state of the drilling rig at the current moment; Based on the abnormal degree value of the state of the drilling rig at the current moment, conduct real-time monitoring of the drilling production operation process.

[0005] Furthermore, the method for obtaining the abnormal incidence rate includes: For any moment, comprehensively analyze the difference between the drilling pressure value at this moment and the corresponding rated value, and the difference between the rotational speed and the corresponding rated value, to determine the propulsion abnormal coefficient of the drilling rig at this moment; According to the fluctuation situation of the vibration value and the torque value at the historical moments before this moment in the time series, determine the fluctuation abnormal coefficient of the drilling rig at this moment; The value obtained by normalizing the product of the propulsion abnormal coefficient and the fluctuation abnormal coefficient of the drilling rig at this moment is used as the abnormal incidence rate of the drilling rig at this moment.

[0006] Furthermore, the method for obtaining the propulsion abnormal coefficient includes: For any moment, calculate the absolute value of the difference between the drilling pressure value at this moment and the corresponding rated value as the drilling pressure deviation value; calculate the absolute value of the difference between the rotational speed at this moment and the corresponding rated value as the rotational speed deviation value; The value obtained by normalizing the sum of the drilling pressure deviation value and the rotational speed deviation value at this moment is used as the propulsion abnormal coefficient of the drilling rig at this moment.

[0007] Furthermore, the method for obtaining the fluctuation abnormal coefficient includes: For any moment, take the historical moment before this moment in the time series as the comparison moment; Calculate the absolute value of the difference between the vibration value at this moment and the vibration value at each comparison moment as the vibration deviation value; Calculate the absolute value of the difference between the torque value at this moment and the torque value at each comparison moment as the torque deviation value; Take the sum of the vibration deviation value and the torque deviation value at each comparison moment as the fluctuation factor between this moment and each comparison moment; The value obtained by normalizing the sum of the fluctuation factors between this moment and all comparison moments is used as the fluctuation abnormal coefficient of the drilling rig at this moment.

[0008] Furthermore, the method for obtaining the abnormal rate of the operating state includes: Take all the moments before the current moment in the time series as the reference moments; Determine the predicted abnormal occurrence rate of the drilling rig at the next moment based on the change trend of the abnormal occurrence rate of the drilling rig at all moments; Take the value obtained by performing negative correlation mapping and normalization on the absolute value of the difference between the abnormal occurrence rate of the drilling rig at the current moment and the predicted abnormal occurrence rate of the drilling rig at the next moment as the similarity value; Multiply the sum of the abnormal occurrence rate of the drilling rig at the current moment and the predicted abnormal occurrence rate of the drilling rig at the next moment by the similarity value, and perform normalization processing on the obtained product, so as to obtain the abnormal operation rate of the drilling rig at the current moment.

[0009] Further, the method for obtaining the predicted abnormal occurrence rate includes: Among all reference moments, for any two adjacent reference moments, take the difference between the abnormal occurrence rate of the drilling rig at the latter reference moment in time sequence and the abnormal occurrence rate of the drilling rig at the former reference moment in time sequence as the adjustment factor; Take the sum of the mean value of all adjustment factors and the abnormal occurrence rate of the drilling rig at the current moment as the predicted abnormal occurrence rate of the drilling rig at the next moment.

[0010] Further, the method for obtaining the abnormal degree value of the operation state includes: Analyze the coupling situation between the torque value in the torque time series data and the vibration value in the vibration time series data to obtain the coupling coefficient; Take the value obtained by normalizing the product of the coupling coefficient and the abnormal operation rate of the drilling rig at the current moment as the abnormal degree value of the operation state of the drilling rig at the current moment.

[0011] Further, the method for obtaining the coupling coefficient includes: Calculate the DTW value between the torque value in the torque time series data and the vibration value in the vibration time series data; Based on the torque time series data and the vibration time series data, obtain the torque curve and the vibration curve. On the torque curve, obtain the torque slope value of the torque value at each moment. On the vibration curve, obtain the vibration slope value of the torque value at each moment; Take the absolute value of the difference between the torque slope value and the vibration slope value at each moment as the trend deviation factor, and perform negative correlation mapping and normalization processing on the product of the sum of the trend deviation factors corresponding to all moments and the DTW value, so as to obtain the coupling coefficient.

[0012] Further, the real-time monitoring of the drilling production operation process based on the abnormal degree value of the state of the drilling rig at the current moment includes: If the abnormal degree value of the state of the drilling rig at the current moment is less than the preset abnormal threshold, it is considered that the drilling production operation process is normal at the current moment; If the abnormal degree value of the drill rig at the current moment is greater than or equal to the preset abnormal threshold, it is considered that the drilling production operation process is abnormal at the current moment, and the drill rig needs to be repaired and maintained.

[0013] A real-time monitoring system for mine geological drilling production includes a processor and a memory. At least one instruction, at least one program, a code set or an instruction set is stored in the memory. When the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor, the steps of any one of the real-time monitoring methods for mine geological drilling production are implemented.

[0014] The present invention has the following beneficial effects: By obtaining the time-series data of various operating parameters of the drill rig, the operating state of the drill rig can be comprehensively reflected, thereby significantly improving the monitoring accuracy of the drilling production operation process. The operating parameters include torque, vibration, drilling pressure, and rotational speed. Given that when the drill rig malfunctions, there is generally persistence, which will lead to continuous fluctuations in the operating parameters. Therefore, in order to avoid the inability of data at a single moment to reflect persistence, in the present invention, according to the deviation of the drilling pressure value and the rotational speed from the rated value at each moment, and combined with the fluctuation of the vibration value and the torque value at the historical moments before each moment in the time series, the abnormal occurrence rate of the drill rig at each moment is quantified. The abnormal occurrence rate is used to characterize the abnormal situation of the operating parameters of the drill rig at each moment. Then, by synthesizing the changes in the abnormal occurrence rates of the drill rig at all moments, the abnormal rate of the operating state of the drill rig at the current moment is determined. The abnormal rate of the operating state can more accurately characterize the fluctuation of the operating parameters of the drill rig at the current moment. However, in the actual drilling process, due to the enrichment of mineral resources along the fracture zone and the uneven formation structure of the drilled rock layer, for the above reasons, there will also be abnormal fluctuations in some operating parameters of the drill bit during the drilling process. Therefore, this situation needs to be analyzed. During the drilling process of the drill bit, the drilling pressure and rotational speed in the operating parameters can be used to evaluate the propulsion ability of the drill bit, while the vibration and torque can more directly reflect the working state of the drill bit, such as the resistance during the rotation of the drill bit and abnormal vibration, etc. Therefore, here, the torque time-series data and the vibration time-series data are mainly analyzed. Since the torque comes from the motor drive and mechanical transmission, if the drill rig malfunctions, the torque of the drill bit will show abnormal fluctuations, thereby causing vibration changes; while the unevenness of the rock layer will first act on the vibration of the drill bit. Although the vibration will also affect the torque, it is not the main source of the torque. Therefore, when the drill rig is abnormal, the coupling between the torque and the vibration will be relatively high. Therefore, in the present invention, the coupling between the torque value in the torque time-series data and the vibration value in the vibration time-series data is further analyzed, and combined with the abnormal rate of the operating state of the drill rig at the current moment, the abnormal degree value of the operating state of the drill rig at the current moment is determined, so as to exclude the influence of geological factors on the real-time monitoring results of the drill rig in the actual drilling process. Finally, based on the abnormal degree value of the state of the drill rig at the current moment, real-time monitoring of the drilling production operation process can obtain more accurate monitoring results. Brief Description of the Drawings

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1The method flow chart of a real-time monitoring method for mine geological drilling production provided by an embodiment of the present invention; Figure 2 The method flow chart of a method for obtaining the abnormal occurrence rate provided by an embodiment of the present invention; Figure 3 The method flow chart of a method for obtaining the abnormal degree value of the operating state provided by an embodiment of the present invention; Figure 4 The system block diagram of a real-time monitoring system for mine geological drilling production provided by an embodiment of the present invention; Figure 5 The system structure schematic diagram of a real-time monitoring system for mine geological drilling production provided by an embodiment of the present invention. Detailed implementation manners

[0017] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following combines the accompanying drawings and preferred embodiments to detail the specific implementation manners, structures, features and effects of a real-time monitoring method and system for mine geological drilling production proposed according to the present invention. In the following description, different "an embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0019] The following specifically describes the specific solutions of a real-time monitoring method and system for mine geological drilling production provided by the present invention with reference to the accompanying drawings.

[0020] Please refer to Figure 1 , which shows the method flow chart of a real-time monitoring method for mine geological drilling production provided by an embodiment of the present invention. The method includes the following steps: Step S1: During the process of mine geological drilling production operation, obtain the time series data of various operating parameters of the drill rig. Among them, the operating parameters include the torque, vibration, drilling pressure, and rotational speed of the drill bit.

[0021] During the process of mine geological drilling production operation, the operating state of the drill rig is directly related to the drilling efficiency and safety. Therefore, it is usually necessary to conduct real-time monitoring on the process of mine geological drilling production operation.

[0022] When the operating state of the drilling rig is abnormal or fails, the operating parameters will show abnormal fluctuations. Therefore, in the embodiments of the present invention, first, time-series data of various operating parameters of the drilling rig are obtained. The operating parameters specifically include the torque, vibration, drilling pressure, and rotational speed of the drill bit in the drilling rig. The specific method for obtaining the time-series data of the operating parameters can be by installing high-precision sensors at the corresponding parts of the drilling rig. For example, a torque sensor is installed between the power source (engine or motor) and the drill bit to obtain the time-series data of the torque of the drill bit, and a vibration sensor is installed near the bearing or bearing seat to obtain the time-series data of the vibration of the drill bit, etc. The sampling time interval of the time-series data of the operating parameters is set to 1 second, and the specific length of the time-series data is set to 10 minutes before the current moment. The sampling time interval and the specific length of the time-series data can both be adjusted according to the implementation scenario and are not limited herein.

[0023] Step S2: For any moment, based on the deviation between the drilling pressure value and the rotational speed at this moment and their respective rated values, the fluctuation of the vibration value and the torque value at the historical moments before this moment in the time series, determine the abnormal occurrence rate of the drilling rig at this moment; based on the change of the abnormal occurrence rate of the drilling rig at all moments, determine the abnormal rate of the operating state of the drilling rig at the current moment.

[0024] The drilling rig mainly breaks underground rocks and soil layers through the drill bit. Therefore, by analyzing the fluctuation characteristics of the torque, vibration, drilling pressure, and rotational speed of the drill bit, it can be preliminarily reflected whether the drilling rig has failed or is abnormal. In view of the fact that the failures or abnormalities of the drilling rig generally have persistence, while the data fluctuations caused by noise have random characteristics. Therefore, in the embodiments of the present invention, in order to analyze the continuous fluctuations of the operating parameters and more accurately quantify the abnormal rate of the operating state of the drilling rig at the current moment, first, based on the deviation between the drilling pressure value and the rotational speed at each moment and their respective rated values, and combined with the fluctuations of the vibration value and the torque value at the historical moments before each moment in the time series, the abnormal occurrence rate of the drilling rig at each moment is quantified. Then, in order to reduce the interference of noise, the change of the abnormal occurrence rate of the drilling rig at all moments is comprehensively considered to determine the abnormal rate of the operating state of the drilling rig at the current moment.

[0025] Preferably, in an embodiment of the present invention, the method for obtaining the abnormal occurrence rate includes: Please refer to Figure 2 , which shows the flowchart of the method for obtaining the abnormal occurrence rate in an embodiment of the present invention. The method includes the following steps: Step S201: For any moment, comprehensively analyze the difference between the drilling pressure value at this moment and the corresponding rated value, and the difference between the rotational speed and the corresponding rated value, and determine the propulsion abnormal coefficient of the drilling rig at this moment.

[0026] During the drilling process, the drilling pressure represents the reaction force when the drill bit contacts the rock formation, which can reflect whether the drilling is going smoothly. If the drilling pressure changes abnormally, it may indicate a mechanical failure. Similar to the drilling pressure, abnormal changes in the rotational speed may also reflect mechanical failures of the drilling rig. If the rotational speed is too fast, it may cause the drill bit to overheat and the wear to increase. If the rotational speed is too low, it may indicate a failure in the transmission device.

[0027] The drilling pressure and the rotational speed are directly related to the propulsion ability of the drilling rig and can immediately reflect the propulsion state of the drilling rig. Therefore, for each moment, the difference between the drilling pressure value and the rotational speed and their corresponding rated values can be analyzed to determine the propulsion anomaly coefficient of the drilling rig at each moment.

[0028] Under normal circumstances, the drilling pressure and the rotational speed should maintain the rated values. Therefore, for any moment, the absolute value of the difference between the drilling pressure value at that moment and the corresponding rated value is calculated as the drilling pressure deviation value. The larger the drilling pressure deviation value, the more abnormal the change in the drilling pressure at that moment. Similarly, the absolute value of the difference between the rotational speed at that moment and the corresponding rated value is used as the rotational speed deviation value. At this time, the larger the rotational speed deviation value, the greater the deviation between the rotational speed and the rated value at that moment, and an abnormal situation may occur.

[0029] Finally, the value obtained by normalizing the sum of the drilling pressure deviation value and the rotational speed deviation value at that moment is used as the propulsion anomaly coefficient of the drilling rig at that moment. At this time, the larger the propulsion anomaly coefficient, the more abnormal the propulsion ability of the drill bit at that moment, and the higher the probability of the drilling rig malfunctioning or having an abnormality. Among them, normalization is a technical means well-known to those skilled in the art. The choice of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0030] It should be noted that the drilling pressure usually refers to the pressure exerted on the rock by the drill string during the drilling process. The magnitude of this pressure value directly affects the drilling efficiency and the service life of the drill bit. The rated value of the drilling pressure can usually be set to 85% of the weight of the drill string; the rated value of the rotational speed can be set to 80 revolutions per minute. The specific settings of the rated values can be determined according to the specifications of the drilling rig equipment, geological conditions, and drilling targets in the actual situation. Only examples are given here for the specific values and can be adjusted according to the implementation scenario.

[0031] Step S202: For any moment, determine the fluctuation anomaly coefficient of the drilling rig at that moment according to the fluctuation conditions of the vibration value and the torque value at the historical moments before that moment in the time series.

[0032] Torque reflects the resistance during the rotation of the drill string. Excessive or too small torque may indicate problems in the drilling process; abnormal vibration may be caused by the abnormal contact of the drill bit with the rock formation, equipment looseness or other faults.

[0033] Therefore, torque and vibration are directly related to the working state of the drilling rig and are often affected by various factors. Therefore, for each moment, the fluctuation of the vibration value and the torque value at the historical moments before this moment in the time series can be analyzed to determine the fluctuation abnormality coefficient of the drilling rig at this moment, that is, by analyzing the change of a small segment of time series data, the fluctuation abnormality coefficient of the drilling rig at each moment is quantified.

[0034] For any moment, the historical moments before this moment in the time series are used as comparison moments; calculate the absolute value of the difference between the vibration value at this moment and the vibration values at each corresponding comparison moment, as the vibration deviation value. The larger the vibration deviation value, the greater the difference in the vibration values between this moment and the comparison moment, and it is regarded as a stronger data fluctuation degree; similarly, calculate the absolute value of the difference between the torque value at this moment and the torque values at each corresponding comparison moment, as the torque deviation value. The larger the torque deviation value, it also indicates a stronger data fluctuation degree.

[0035] Then, the sum of the vibration deviation value and the torque deviation value at each comparison moment is used as the fluctuation factor between this moment and each corresponding comparison moment; finally, the normalized value of the sum of the fluctuation factors between this moment and all corresponding comparison moments is used as the fluctuation abnormality coefficient of the drilling rig at this moment. The larger the fluctuation factor, the greater the deviation degree between the vibration value and the torque value at this moment and the vibration values and torque values at each comparison moment of this moment, then the larger the data fluctuation amplitude. Furthermore, when the fluctuation abnormality coefficient obtained by synthesizing the fluctuation factors between this moment and all corresponding comparison moments is larger, it means that in the data before this moment in the time series, the data fluctuation amplitude is larger, so it can be regarded that at this moment, the possibility of the drilling rig having an abnormality or a fault is higher. Among them, normalization is a technical means well-known to those skilled in the art. The choice of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0036] Step S203: Synthesize the propulsion abnormality coefficient and the fluctuation abnormality coefficient of the drilling rig at each moment to determine the abnormality occurrence rate of the drilling rig at each moment.

[0037] Based on the foregoing analysis, the larger the abnormal propulsion coefficient of the drilling rig at a certain moment, the more abnormal the propulsion ability of the drill bit at that moment, and the higher the probability of the drilling rig malfunctioning or being abnormal; when the abnormal fluctuation coefficient at a certain moment is larger, it indicates that the data has a large fluctuation amplitude in the data before that moment sequence, so the possibility of the drilling rig being abnormal or malfunctioning can be regarded as higher.

[0038] Therefore, the value obtained by normalizing the product of the abnormal propulsion coefficient and the abnormal fluctuation coefficient of the drilling rig at each moment is used as the abnormal occurrence rate of the drilling rig at each moment. The larger the abnormal occurrence rate, the greater the abnormal degree of the operating parameters of the drilling rig at each moment and the worse the operating state. Among them, normalization is a technical means well-known to those skilled in the art. The choice of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0039] When a certain component of the drilling rig malfunctions, there is generally persistence, that is, accompanied by continuous abnormal fluctuations of some operating parameter data, while the data fluctuations caused by noise do not have continuous data abnormal fluctuations. Therefore, based on the change of the abnormal occurrence rate of the drilling rig at all moments, the abnormal rate of the operating state of the drilling rig at the current moment is determined.

[0040] Preferably, in an embodiment of the present invention, the method for obtaining the abnormal rate of the operating state includes: All moments before the current moment sequence are used as reference moments.

[0041] To analyze the persistence, in the embodiments of the present invention, the change trend of the abnormal incidence rate of the drilling rig at the reference time is analyzed and combined with the abnormal incidence rate of the drilling rig at the current time, so as to predict the abnormal incidence rate of the drilling rig at the future time: Among all the reference times, for any two adjacent reference times, the difference between the abnormal incidence rate of the drilling rig at the latter reference time in time sequence and the abnormal incidence rate of the drilling rig at the former reference time in time sequence is used as the adjustment factor. If the adjustment factor is positive, it indicates that between every two adjacent reference times, as time changes, the abnormal incidence rate of the drilling rig is increasing (more likely to be the fluctuation of the real operation parameter data); on the contrary, if the adjustment factor is negative, it indicates that between every two adjacent reference times, as time changes, the abnormal incidence rate of the drilling rig is decreasing (the abnormality at this time may be caused by random noise). At this time, among all the reference times, there is an adjustment factor between every two adjacent reference times. The sum of the mean value of all the adjustment factors and the abnormal incidence rate of the drilling rig at the current time can be used as the predicted abnormal incidence rate of the drilling rig at the next time. When the predicted abnormal incidence rate of the drilling rig at the next time is greater than the abnormal incidence rate of the drilling rig at the current time, it indicates that the drilling rig has a persistent abnormal fluctuation of the operation parameters, and then the possibility of the drilling rig having a failure or abnormality is higher. On the contrary, if the predicted abnormal incidence rate of the drilling rig at the next time is less than the abnormal incidence rate of the drilling rig at the current time, it indicates that the drilling rig has an accidental abnormal fluctuation of the operation parameters, and then the possibility of the drilling rig having a failure or abnormality is lower.

[0042] Then calculate the absolute value of the difference between the abnormal incidence rate of the drilling rig at the current time and the predicted abnormal incidence rate of the drilling rig at the next time. The smaller this value is, the more similar the data fluctuation of the operation parameters of the drilling rig between these two adjacent times. Therefore, negative correlation mapping and normalization processing are performed on this value to realize logical relationship correction and obtain a similarity value. The negative correlation mapping and normalization processing here can adopt function, where represents the exponential function with the natural constant e as the base, and x represents the independent variable.

[0043] Finally, the sum of the abnormal incidence rate of the drilling rig at the current time and the predicted abnormal incidence rate of the drilling rig at the next time is normalized by multiplying the sum by the similarity value, so as to obtain the abnormal rate of the operation state of the drilling rig at the current time. Between two adjacent times, if the data fluctuation of the operation parameters is relatively similar and the possibility of the drilling rig having an abnormality is also higher, it can be regarded that the drilling rig has an abnormality or failure, rather than the data fluctuation caused by random noise. Therefore, the larger the abnormal rate of the operation state is, the worse the state of the drilling rig at the current time is. The normalization is a well-known technical means to those skilled in the art. The selection of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0044] Step S3: Analyze the coupling situation between the torque values in the torque time-series data and the vibration values in the vibration time-series data, and combine the abnormal rate of the drilling rig's operating state at the current moment to determine the abnormal degree value of the drilling rig's operating state at the current moment.

[0045] Based on the foregoing steps, by analyzing the variation fluctuations of the operating parameter time-series data, the abnormal rate of the drilling rig's operating state at the current moment is obtained. However, in the actual drilling process, since mineral resources are often concentrated along fault zones and the rock formations drilled are uneven, for the above reasons, the drill bit will also generate abnormal fluctuations in some of the operating parameter time-series data during the drilling process, resulting in the abnormal rate of the drilling rig's operating state obtained in the foregoing steps being unable to accurately reflect whether the drilling rig has actually failed. Therefore, it is also necessary to exclude the influence of geological factors based on the characteristics of the operating parameter time-series data next.

[0046] To determine whether the poor operating state of the drilling rig at the current moment is caused by component failure or the influence of geological factors, the differences in the change characteristics of the operating parameter time-series data caused by the failure and the rock formation can be analyzed: Since the operating parameters of the drilling rig are generally divided into propulsion parameters and state parameters, the propulsion parameters mainly include the drilling pressure and rotational speed of the drill bit, and the state parameters mainly include torque, vibration, etc.; among them, the state parameters can more intuitively show its operating state. Therefore, analysis can be performed based on the torque time-series data and vibration time-series data in the operating parameters. Since the coupling degree of each component of the drilling rig is relatively high, the torque comes from motor drive and mechanical transmission, and the source of vibration is relatively wide. Therefore, in the case of a failure of the drilling rig, abnormal fluctuations will first occur in the torque time-series data, and the periodic load changes caused by the fluctuations in the torque time-series data will be directly transmitted to the mechanical system, causing fluctuations in the vibration time-series data. Therefore, if the drilling rig has a real failure, the coupling, that is, the similarity, between the torque time-series data and the vibration time-series data will be higher; however, for geological factors, the uneven effect of the rock formation will first act on the vibration time-series data, thereby causing changes in the torque time-series data due to the abnormality of the vibration time-series data. However, considering that the main source of torque is not vibration, if the fluctuations in the operating parameter time-series data are caused by geological factors, the degree of influence of the vibration time-series data on the torque time-series data is relatively small. Based on the foregoing logic, the coupling situation between the torque values in the torque time-series data and the vibration values in the vibration time-series data can be analyzed, and combined with the abnormal rate of the drilling rig's operating state at the current moment, so as to determine the abnormal degree value of the drilling rig's operating state at the current moment.

[0047] Preferably, in an embodiment of the present invention, the method for obtaining the abnormal degree value of the operating state includes: Please refer to Figure 3 , which shows the method flow chart of the method for obtaining the abnormal degree value of the operating state in an embodiment of the present invention. The method includes the following steps: Step S301: Analyze the coupling situation between the torque values in the torque time series data and the vibration values in the vibration time series data to obtain a coupling coefficient.

[0048] Dynamic Time Warping (DTW) is an algorithm for measuring the similarity between two time series. In this embodiment of the present invention, the DTW value between the torque values in the torque time series data and the vibration values in the vibration time series data is calculated based on the DTW algorithm. The smaller the DTW value, the higher the similarity between the torque time series data and the vibration time series data, which can also be regarded as having a relatively consistent change situation, so the coupling will be higher.

[0049] Obtain a torque curve and a vibration curve based on the torque time series data and the vibration time series data. On the torque curve, obtain the torque slope value of the torque value at each moment. Similarly, on the vibration curve, obtain the vibration slope value of the torque value at each moment.

[0050] When the coupling between two time series data is high, there should be a relatively consistent data change trend. Therefore, the absolute value of the difference between the torque slope value and the vibration slope value at each moment is used as the trend deviation factor. The larger the trend deviation factor, the more inconsistent the change situation. On the contrary, the smaller the trend deviation factor, the more consistent the change situation.

[0051] Finally, calculate the sum value of the trend deviation factors at all moments. When this sum value is larger, it indicates that the change trends between the torque time series data and the vibration time series data are more inconsistent, so the coupling is poor. On the contrary, if this sum value is smaller, it indicates that the change trends between the torque time series data and the vibration time series data are more consistent, that is, the coupling is better. Therefore, multiply this sum value by the DTW value between the torque time series data and the vibration time series data. At this time, the smaller the obtained product, the higher the coupling. Therefore, in order to achieve logical relationship correction, perform negative correlation mapping and normalization processing on this product, and thus use the obtained value as the coupling coefficient. At this time, the larger the coupling coefficient, the stronger the correlation between the torque time series data and the vibration time series data. The negative correlation mapping and normalization processing here can use function, where represents the exponential function with the natural constant e as the base, and x represents the independent variable.

[0052] It should be noted that the calculation process of the DTW value is a well-known technology and will not be elaborated here; the method of obtaining the torque curve and the vibration curve can use the least squares method to fit the time series data, which is also a well-known technology and will not be elaborated.

[0053] Step S302: Integrate the coupling coefficient with the abnormal rate of the operating state of the drill rig at the current moment to obtain the abnormal degree value of the operating state of the drill rig at the current moment.

[0054] When the coupling coefficient is larger, it indicates that the similarity between the torque time series data and the vibration time series data is higher, and the coupling degree is larger. Then it is more likely that there is a real fault or abnormality in the drill rig itself. Therefore, the normalized value of the product of the coupling coefficient and the abnormal rate of the operating state of the drill rig at the current moment can be used as the abnormal degree value of the operating state of the drill rig at the current moment. The larger the abnormal degree value of the operating state of the drill rig at the current moment, the lower the possibility that the data fluctuation and change of the operating parameter time series data are affected by the geology, and the greater the probability that there is an abnormality or fault in the drill rig itself. Among them, normalization is a well-known technical means to those skilled in the art. The choice of the normalization function can be linear normalization or standard normalization, etc. The specific normalization method is not limited here.

[0055] Step S4: Based on the abnormal degree value of the drill rig at the current moment, conduct real-time monitoring on the drilling production operation process.

[0056] Through the analysis of the foregoing steps, the abnormal degree value of the drill rig at the current moment can be determined, which is used to characterize the operating state of the drill rig at the current moment. Therefore, based on the abnormal degree value of the drill rig at the current moment, the drilling production operation process can be monitored in real time.

[0057] Preferably, in an embodiment of the present invention, based on the abnormal degree value of the drill rig at the current moment, conducting real-time monitoring on the drilling production operation process includes: If the abnormal degree value of the drill rig at the current moment is less than the preset abnormal threshold, it is considered that the drilling production operation process is normal at the current moment.

[0058] If the abnormal degree value of the drill rig at the current moment is greater than or equal to the preset abnormal threshold, it is considered that the drilling production operation process is abnormal at the current moment, and the drill rig needs to be repaired.

[0059] It should be noted that the preset abnormal threshold is set to 0.75, and the specific value can be adjusted according to the implementation scenario and is not limited here.

[0060] When it is determined that the drilling production operation process is abnormal at the current moment, the drill rig needs to be repaired. Usually, the drill rig will be shut down, and then it is checked whether there is an abnormality in each structure or component. In the embodiment of the present invention, the repair priority of each structure or component can be further determined, so as to reduce the maintenance cost and improve the repair efficiency.

[0061] The drilling rig mainly includes a drilling device, a hydraulic device, a power device, etc. Among them, the drilling device is located at the front line of drilling, so the maintenance priority of the drill bit is the highest. For the hydraulic device and the power device, etc., the maintenance priority can be determined through the performance parameters of each device. The hydraulic device uses liquid pressure to push the actuator (such as a hydraulic motor or a hydraulic cylinder), converts hydraulic energy into mechanical energy, and thus outputs torque; the power device converts energy (chemical energy, electrical energy, etc.) into mechanical energy and drives the hydraulic device to output torque. Therefore, the failure incidence rate of the hydraulic device can be judged by analyzing the correlation between the performance parameters of the hydraulic device and the torque. For the hydraulic device, the performance parameters are mainly the hydraulic pressure of the hydraulic device and the real-time temperature of the hydraulic device. For the power device, the performance parameters are mainly the output power of the power device and the real-time temperature of the power device.

[0062] Taking the hydraulic device as an example, obtain the hydraulic pressure time series data of the hydraulic device. The sampling time interval is set to 1 second, and the length of the time series data is set to 10 minutes before the current moment. The sampling time interval and the specific length of the time series data need to be consistent with the operation parameter time series data. Then analyze the correlation coefficient between the hydraulic pressure value in the hydraulic pressure time series data and the torque value in the torque time series data. The Pearson correlation coefficient between the two can be calculated. When the Pearson correlation coefficient is closer to 1, it indicates that the two are positively correlated. On the contrary, when the Pearson correlation coefficient is closer to -1, it indicates that the two are negatively correlated. However, since the drilling rig has shown abnormalities at the current moment and needs to be repaired, only the correlation needs to be analyzed here. Therefore, take the absolute value of the Pearson correlation coefficient as the correlation value, multiply the correlation value by the real-time temperature of the hydraulic device at the current moment, and normalize the obtained product to obtain the failure incidence rate of the hydraulic device. The larger this value is, the more likely it is that the hydraulic device in the drilling rig has an abnormality.

[0063] Based on the same method, analyze the correlation value between the output power time series data of the power device and the torque time series data, and calculate the failure incidence rate of the power device.

[0064] If there are other devices, calculate using the same method to obtain the failure incidence rates of different devices in the drilling rig. Then sort the failure incidence rates in descending order to obtain a descending sequence. In the descending sequence, the maintenance priorities of different devices decrease in turn.

[0065] It should be noted that the above judgment of the maintenance priority is only an example of obtaining the maintenance priority order after the invention embodiment determines that the drill needs to be maintained, which can provide a reference for the maintenance order for relevant maintenance personnel. However, in actual production operations, the operating conditions of the drill are complex. A position with a high maintenance priority may not necessarily have a fault, and there may also be a situation where multiple faults are superimposed. Therefore, it is necessary to make a comprehensive judgment according to the actual situation. When conditions permit, a joint inspection of the entire system can be carried out to confirm the coordinated operation between the various devices in the drill.

[0066] In summary, by obtaining the time-series data of various operating parameters of the drill, the operating state of the drill can be comprehensively reflected, thereby significantly improving the monitoring accuracy of the drilling production operation process. The operating parameters include torque, vibration, drilling pressure, and rotational speed. Given that when the drill is abnormal, there is generally persistence, which will also cause continuous fluctuations in the operating parameters. Therefore, in order to avoid the fact that the data at a single moment cannot reflect the persistence, in the embodiment of the present invention, according to the deviation between the drilling pressure value and the rotational speed and the rated value at each moment, and combined with the fluctuation of the vibration value and the torque value at the historical moments before each moment's time series, the abnormal occurrence rate of the drill at each moment is quantified. The abnormal occurrence rate is used to characterize the abnormal situation of the drill's operating parameters at each moment. Then, by synthesizing the change situations of the abnormal occurrence rates of the drill at all moments, the abnormal rate of the operating state of the drill at the current moment is determined. The abnormal rate of the operating state can more accurately characterize the fluctuation of the drill's operating parameters at the current moment. However, in the actual drilling process, due to the fact that mineral resources are often concentrated along the fault zone and the rock formations drilled are uneven, for the above reasons, there will also be abnormal fluctuations in some operating parameters of the drill bit during the drilling process. Therefore, this situation needs to be analyzed. During the drilling process of the drill bit, the drilling pressure and rotational speed in the operating parameters can be used to evaluate the propulsion ability of the drill bit, while the vibration and torque can more directly reflect the working state of the drill bit, such as the resistance during the rotation of the drill bit and abnormal vibration, etc. Therefore, here, the torque time-series data and the vibration time-series data are mainly analyzed. Since the torque comes from the motor drive and mechanical transmission, if the drill fails, then the torque of the drill bit will show abnormal fluctuations, thereby causing vibration changes; and the unevenness of the rock formation will first act on the vibration of the drill bit. Although the vibration will also affect the torque, it is not the main source of the torque. Therefore, when the drill is abnormal, the coupling situation between the torque and the vibration will be relatively high. Therefore, in the present invention, the coupling situation between the torque value in the torque time-series data and the vibration value in the vibration time-series data is further analyzed, and combined with the abnormal rate of the operating state of the drill at the current moment, the abnormal degree value of the operating state of the drill at the current moment is determined, so as to exclude the influence of geological factors on the real-time monitoring results of the drill in the actual drilling process. Finally, based on the abnormal degree value of the drill's state at the current moment, real-time monitoring of the drilling production operation process can obtain a more accurate monitoring result.

[0067] An embodiment of the present invention further provides a real-time monitoring system for mine geological drilling production. Please refer to Figure 4 , which shows a system block diagram, including: a data acquisition module 401 for implementing step S1 in the above method; a fluctuation analysis module 402 for implementing step S2 in the above method; an anomaly analysis module 403 for implementing step S3 in the above method; and a real-time monitoring module 404 for implementing step S4 in the above method.

[0068] It should be noted that the system provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, a real-time monitoring system for mine geological drilling production and an embodiment of a real-time monitoring method for mine geological drilling production provided in the above embodiment belong to the same concept. For the specific implementation process, please refer to the method embodiment and will not be elaborated here.

[0069] Please refer to Figure 5 , which shows a schematic diagram of the system structure of a real-time monitoring system for mine geological drilling production provided by an embodiment of the present invention, including a processor 500, a memory 501, a bus 502, and a communication interface 503. The processor 500, the communication interface 503, and the memory 501 are connected through the bus 502. Among them, the memory 501 may include a high-speed random access memory. The bus 502 may be an ISA bus, a PCI bus, an EISA bus, etc. The processor 500 may be an integrated circuit chip with signal processing capabilities. At least one instruction, at least one program, a code set, or an instruction set is stored in the memory 501. When at least one instruction, at least one program, a code set, or an instruction set is loaded and executed by the processor, the steps in a real-time monitoring method for mine geological drilling production are implemented.

[0070] It should be noted that the above sequence of embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0071] Each embodiment in this specification is described in a progressive manner. The same or similar parts between each embodiment can be referred to each other. The key point of each embodiment is to illustrate the differences from other embodiments.

Claims

1. A real-time monitoring method for mine geological drilling production, characterized in that, The method includes: During the production operation of mine geological drilling, obtaining the time-series data of various operating parameters of the drilling rig, where the operating parameters include the torque, vibration, drilling pressure, and rotational speed of the drill bit; For any moment, according to the deviation between the drilling pressure value and the rotational speed at this moment and their respective rated values, the fluctuation of the vibration value and the torque value at the historical moments before this moment in the time series, determine the abnormal occurrence rate of the drilling rig at this moment; Based on the change of the abnormal occurrence rate of the drilling rig at all moments, determine the abnormal operation rate of the drilling rig at the current moment; Analyze the coupling situation between the torque value in the torque time-series data and the vibration value in the vibration time-series data, and combine the abnormal operation rate of the drilling rig at the current moment to determine the abnormal operation degree value of the drilling rig at the current moment; Based on the abnormal operation degree value of the drilling rig at the current moment, conduct real-time monitoring of the drilling production operation process.

2. The real-time monitoring method for mine geological drilling production according to claim 1, wherein The method for obtaining the abnormal occurrence rate includes: For any moment, comprehensively analyze the difference between the drilling pressure value and the corresponding rated value at this moment, and the difference between the rotational speed and the corresponding rated value, to determine the propulsion abnormal coefficient of the drilling rig at this moment; According to the fluctuation of the vibration value and the torque value at the historical moments before this moment in the time series, determine the fluctuation abnormal coefficient of the drilling rig at this moment; Take the normalized value of the product of the propulsion abnormal coefficient and the fluctuation abnormal coefficient of the drilling rig at this moment as the abnormal occurrence rate of the drilling rig at this moment.

3. The real-time monitoring method for mine geological drilling production according to claim 2, characterized in that The method for obtaining the propulsion abnormal coefficient includes: For any moment, calculate the absolute value of the difference between the drilling pressure value and the corresponding rated value at this moment as the drilling pressure deviation value; Take the absolute value of the difference between the rotational speed and the corresponding rated value at this moment as the rotational speed deviation value; Take the normalized value of the sum of the drilling pressure deviation value and the rotational speed deviation value at this moment as the propulsion abnormal coefficient of the drilling rig at this moment.

4. The real-time monitoring method for mine geological drilling production according to claim 2, characterized in that, The method for obtaining the fluctuation abnormal coefficient includes: For any moment, take the historical moment before this moment in the time series as the comparison moment; Calculate the absolute value of the difference between the vibration value at this moment and the vibration values at each comparison moment as the vibration deviation value; Calculate the absolute value of the difference between the torque value at this moment and the torque values at each comparison moment as the torque deviation value; Take the sum of the vibration deviation value and the torque deviation value at each comparison moment as the fluctuation factor between this moment and each comparison moment; Take the normalized value of the sum of the fluctuation factors between this moment and all comparison moments as the fluctuation abnormal coefficient of the drilling rig at this moment.

5. The real-time monitoring method for mine geological drilling production according to claim 1, characterized in that, The method for obtaining the abnormal operation rate includes: Take all the moments before the current moment in the time series as the reference moments; Based on the change trend of the abnormal occurrence rate of the drilling rig at all moments, determine the predicted abnormal occurrence rate of the drilling rig at the next moment; Take the normalized value of the negative correlation mapping of the absolute value of the difference between the abnormal occurrence rate of the drilling rig at the current moment and the predicted abnormal occurrence rate of the drilling rig at the next moment as the similarity value; Multiply the sum of the abnormal occurrence rate of the drilling rig at the current moment and the predicted abnormal occurrence rate of the drilling rig at the next moment by the similarity value, and normalize the obtained product to obtain the abnormal operation rate of the drilling rig at the current moment.

6. The real-time monitoring method for mine geological drilling production according to claim 5, wherein The method for obtaining the predicted abnormal occurrence rate includes: Among all reference moments, for any two adjacent reference moments, take the difference between the abnormal occurrence rate of the drilling rig at the later reference moment in time sequence and the abnormal occurrence rate of the drilling rig at the earlier reference moment in time sequence as the adjustment factor; Take the sum of the mean values of all adjustment factors and the abnormal occurrence rate of the drilling rig at the current moment as the predicted abnormal occurrence rate of the drilling rig at the next moment.

7. A real-time monitoring method for mine geological drilling production according to claim 1, characterized in that, The method for obtaining the abnormal degree value of the operating state includes: Analyze the coupling situation between the torque value in the torque time series data and the vibration value in the vibration time series data to obtain the coupling coefficient; Take the value obtained by normalizing the product of the coupling coefficient and the abnormal operation rate of the drilling rig at the current moment as the abnormal degree value of the operating state of the drilling rig at the current moment.

8. The real-time monitoring method for mine geological drilling production according to claim 7, characterized in that, The method for obtaining the coupling coefficient includes: Calculate the DTW value between the torque value in the torque time series data and the vibration value in the vibration time series data; Based on the torque time series data and the vibration time series data, obtain the torque curve and the vibration curve. On the torque curve, obtain the torque slope value of the torque value at each moment. On the vibration curve, obtain the vibration slope value of the torque value at each moment; Take the absolute value of the difference between the torque slope value and the vibration slope value at each moment as the trend deviation factor, and perform negative correlation mapping and normalization processing on the product of the sum of the trend deviation factors corresponding to all moments and the DTW value to obtain the coupling coefficient.

9. The real-time monitoring method for mine geological drilling production according to claim 1, characterized in that The real-time monitoring of the drilling production operation process based on the abnormal degree value of the state of the drilling rig at the current moment includes: If the abnormal degree value of the state of the drilling rig at the current moment is less than the preset abnormal threshold, it is considered that the drilling production operation process at the current moment is normal; If the abnormal degree value of the state of the drilling rig at the current moment is greater than or equal to the preset abnormal threshold, it is considered that the drilling production operation process at the current moment is abnormal and the drilling rig needs to be repaired.

10. A real-time monitoring system for mine geological drilling production, characterized in that, It includes a processor and a memory. At least one instruction, at least one program, a code set or an instruction set is stored in the memory. When at least one instruction, at least one program, a code set or an instruction set is loaded and executed by the processor, the steps of a real-time monitoring method for a mine geological drilling production as described in any one of claims 1-9 are implemented.

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