Drill bit wear prediction analysis system based on mechanical specific energy theory

Abstract

The invention belongs to the technical field of drill bit supervision, and particularly relates to a drill bit wear prediction and analysis system based on a mechanical specific energy theory, which comprises a drill bit working state monitoring module, a mechanical specific energy calculation and analysis module, a rock parameter input module, a drill bit wear prediction and analysis module, a drill bit auxiliary diagnosis module and a background supervision end, the drill bit wear degree is predicted through the drill bit wear prediction analysis module in combination with the mechanical specific energy value and the physical and mechanical parameters of the current drilled rock and depending on the drill bit wear degree prediction model, the drill bit wear condition can be accurately reflected in real time, the operation efficiency is improved, and the operation safety is ensured; the drill bit waste caused by empirical judgment and regular replacement is avoided, the abnormal performance of the drill bit is subjected to auxiliary analysis when it is judged that the drill bit is not seriously abraded, the safety and stability of the drilling process are further guaranteed, the service life of the drill bit is prolonged, and the management difficulty of management personnel is remarkably reduced.

Description

Technical Field

[0001] The invention relates to the technical field of drill bit supervision, in particular to a drill bit wear prediction and analysis system based on mechanical specific energy theory. Background Art

[0002] In drilling operations, the drill bit is a key component that directly acts on the rock. Its wear directly determines the drilling efficiency, cost and operation safety. At present, drill bit wear monitoring mainly relies on experience judgment or regular replacement, which not only easily leads to drill bit waste, but also easily causes safety accidents due to excessive drill bit wear. A Chinese invention patent with publication number CN107503745A discloses a method for monitoring the wear status of a bottom hole drill bit while drilling. The invention technical solution monitors the wear status of the bottom hole drill bit in real time to analyze and judge the working status of the drill bit, and reminds to replace the drill bit when the wear of the drill bit exceeds a preset threshold. However, in actual application, the above-mentioned technical solution can only realize a preliminary judgment on the wear condition of the drill bit, and it is difficult to accurately evaluate the wear degree of the drill bit in real time. When it is judged that the wear degree of the drill bit is not serious, it is impossible to reasonably analyze the operation risk of the drill bit step by step. It is difficult for management personnel to take corresponding improvement measures in time, which is not conducive to ensuring the safety of the drill bit operation and improving its service life, and the operation management of the drill bit is difficult. In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide a drill bit wear prediction and analysis system based on the mechanical specific energy theory, which solves the problem that the prior art is difficult to accurately evaluate the degree of drill bit wear in real time, and when it is judged that the degree of drill bit wear is not serious, it is impossible to reasonably analyze the operation risk of the drill bit in a step-by-step manner, which is not conducive to ensuring the safety of drill bit operation and improving its service life, and the drill bit operation management is difficult.

[0004] To achieve the above object, the present invention provides the following technical solutions: A drill wear prediction and analysis system based on mechanical specific energy theory, including a drill working state monitoring module, a mechanical specific energy calculation and analysis module, a rock parameter input module, a drill wear prediction and analysis module, a drill auxiliary diagnosis module and a background supervision terminal; The drill bit working state monitoring module monitors the working state of the drill bit, collects the working state data of the drill bit, wherein the working state data includes axial pressure, rotation speed, drilling speed and torque, and sends the working state data of the drill bit to the mechanical specific energy calculation and analysis module; The mechanical specific energy calculation and analysis module calculates the mechanical specific energy value of the drill bit at different drilling stages according to the working status data collected by the drill bit working status monitoring module using the mechanical specific energy theory, and sends the mechanical specific energy value of the drill bit to the drill bit wear prediction and analysis module; The rock parameter input module is used to input the physical and mechanical parameters of the rock currently being drilled, wherein the physical and mechanical parameters of the rock currently being drilled include hardness, compressive strength and fracture toughness, and send the physical and mechanical parameters of the rock currently being drilled to the drill wear prediction and analysis module; The drill bit wear prediction and analysis module combines the mechanical specific energy value and the physical and mechanical parameters of the rock currently being drilled, and predicts the drill bit wear degree through the drill bit wear degree prediction model, and sends the drill bit wear prediction result to the background supervision end and the drill bit auxiliary diagnosis module, so that the background supervision end issues an early warning when it is judged that the drill bit is severely worn; When it is determined that the drill bit is not severely worn, the drill bit auxiliary diagnosis module performs auxiliary analysis on the abnormal performance of the drill bit, generates an auxiliary diagnosis qualified signal or an auxiliary diagnosis abnormal signal through analysis, and sends the auxiliary diagnosis qualified signal or the auxiliary diagnosis abnormal signal to the background supervision end. The background supervision end issues an early warning when receiving the auxiliary diagnosis abnormal signal.

[0005] Furthermore, the specific analysis process of the drill bit auxiliary diagnosis module includes: The temperature data and vibration data of the drill bit are collected, and the temperature data and the vibration data are numerically compared with the preset temperature risk threshold and the preset vibration risk threshold, respectively. If the temperature data or the vibration data exceeds the corresponding preset threshold, it is determined that the drill bit is in a risk potential state; The total time that the drill bit is in a risk potential state within a unit time is obtained and marked as the total risk potential time value, and the ratio of the average value of all temperature data of the drill bit within a unit time to the preset temperature risk threshold is marked as the drill bit temperature judgment value, and the ratio of the average value of all vibration data of the drill bit within a unit time to the preset vibration risk threshold is marked as the drill bit vibration judgment value; The drill bit hidden danger preliminary assessment value is obtained by numerically calculating the total time value of risk hidden danger, drill bit temperature judgment value and drill bit vibration judgment value. The drill bit hidden danger preliminary assessment value is numerically compared with the preset drill bit hidden danger preliminary assessment threshold. If the drill bit hidden danger preliminary assessment value exceeds the preset drill bit hidden danger preliminary assessment threshold, an auxiliary diagnosis abnormal signal is generated.

[0006] Furthermore, if the drill bit hidden danger preliminary evaluation value does not exceed the preset drill bit hidden danger preliminary evaluation threshold, a number of detection time points are set within a unit time, and the temperature data of two adjacent detection time points are calculated by difference to obtain the drill bit temperature rise value, and the vibration data of two adjacent detection time points are calculated by difference to obtain the drill bit vibration rise value; The number of drill bit temperature rise values ​​that exceed the preset drill bit temperature rise threshold value per unit time is marked as the drill bit temperature risk value, and the number of drill bit vibration rise values ​​that exceed the preset drill bit vibration risk value per unit time is marked as the drill bit vibration risk value. The drill bit hidden danger auxiliary evaluation value is obtained by numerically calculating the drill bit hidden danger initial evaluation value, the drill bit temperature risk value and the drill bit vibration risk value. The drill bit hidden danger auxiliary evaluation value is numerically compared with the preset drill bit hidden danger auxiliary evaluation threshold. If the drill bit hidden danger auxiliary evaluation value exceeds the preset drill bit hidden danger auxiliary evaluation threshold, an auxiliary diagnosis abnormal signal is generated; if the drill bit hidden danger auxiliary evaluation value does not exceed the preset drill bit hidden danger auxiliary evaluation threshold, an auxiliary diagnosis qualified signal is generated.

[0007] Furthermore, the drill bit auxiliary diagnosis module is communicatively connected to the drill bit operation control and analysis module. The user issues corresponding control instructions through the background supervision end to control the operation of the drill bit. The drill bit operation control and analysis module monitors the execution of all control instructions issued by the background supervision end within a unit time. The drill bit auxiliary diagnosis module sends the auxiliary diagnosis qualified signal to the drill bit operation control and analysis module. When the drill bit operation control and analysis module receives the auxiliary diagnosis qualified signal, it judges the instruction execution performance through analysis, and generates an instruction execution risk signal or an instruction execution qualified signal accordingly, and sends the instruction execution risk signal or the instruction execution qualified signal to the background supervision end. When the background supervision end receives the instruction execution risk signal, it issues an early warning.

[0008] Furthermore, the specific analysis process of the drill bit operation and control analysis module includes: The time when the corresponding control instruction is issued is collected and marked as the detection time, and the time when the drill bit is regulated based on the corresponding control instruction is marked as the adjustment time, and the interval between the detection time and the adjustment time is marked as the regulation efficiency coefficient; Obtain all control efficiency coefficients within a unit time, calculate the ratio of the control efficiency coefficient to the corresponding preset control efficiency coefficient threshold to obtain the control effectiveness value, and mark the number of control efficiency coefficients exceeding the preset control efficiency coefficient threshold within a unit time as the control effectiveness abnormality value, and calculate the average of all control effectiveness values ​​within a unit time to obtain the control effectiveness table value, and mark the control effectiveness value with the largest value within a unit time as the control abnormality value; The drill bit operation and control risk value is obtained by numerically calculating the control effect difference value, the control effect table value and the control difference amplitude value, and the drill bit operation and control risk value is numerically compared with the preset drill bit operation and control analysis threshold. If the drill bit operation and control risk value exceeds the preset drill bit operation and control risk threshold, an instruction execution risk signal is generated; if the drill bit operation and control risk value does not exceed the preset drill bit operation and control risk threshold, an instruction execution qualified signal is generated.

[0009] Furthermore, the drill operation control and analysis module is communicatively connected to the successor operation safety decision module. The drill operation control and analysis module sends the command execution qualified signal to the successor operation safety decision module. When the successor operation safety decision module receives the command execution qualified signal, it analyzes the safety status of the continued operation of the drill bit, generates a successor operation safety signal or a successor operation risk signal through analysis, and sends the successor operation safety signal or the successor operation risk signal to the background supervision end. When the background supervision end receives the successor operation risk signal, it issues a warning.

[0010] Furthermore, the specific analysis process of the relay safety decision module is as follows: The start time of the drill bit's current operation is collected, the time difference between the current time and the start time of the current operation is calculated to obtain the drill bit operation value, the drill bit operation value is compared with the preset drill bit operation threshold, and if the drill bit operation value exceeds the preset drill bit operation threshold, a subsequent operation risk signal is generated; If the drill bit operation value does not exceed the preset drill bit operation threshold, the time difference between the end time of the last operation process of the drill bit and the start time of the current operation is calculated to obtain the stop duration, and the ratio of the drill bit operation value of the last operation process to the stop duration is marked as the stop abnormality coefficient; The stop abnormality coefficient is numerically compared with the preset stop abnormality coefficient threshold. If the stop abnormality coefficient does not exceed the preset stop duration threshold, the previous adjacent running process is marked as a high-impact process of the current running process and continues to be traced back until the stop abnormality coefficient of the corresponding running process does not exceed the preset stop abnormality coefficient threshold, thereby obtaining all high-impact processes of the current running process; The drill bit operation value of the current operation is summed up with the drill bit operation value of all high-impact processes to obtain the drill bit operation table value, and the drill bit stop table value is summed up with all the stop times within the interval between the first group of high-impact processes and the current operation. The ratio of the drill bit operation table value to the drill bit stop table value is marked as the drill bit operation analysis value, and the drill bit operation analysis value is numerically compared with the preset drill bit operation analysis threshold. If the drill bit operation analysis value exceeds the preset drill bit operation analysis threshold, a operation risk signal is generated; if the drill bit operation analysis value does not exceed the preset drill bit operation analysis threshold, a operation safety signal is generated.

[0011] Furthermore, the background supervision end communicates with the regional drill bit matching analysis module, and the regional drill bit matching analysis module obtains the drilling area that needs to be managed, takes the current date as the end date and traces back to set a management period of L1 days. When the number of days reaches L1, all drill bits used for drilling in the drilling area within the management period are obtained and classified, and the corresponding type of drill bits is marked as the target object i, and i is a natural number greater than or equal to 1; The drilling compatibility between the target object i and the corresponding drilling area is analyzed to generate a high match signal or a low match signal of the target object i, and the high match signal or the low match signal of the target object i is sent to the background monitoring end, which issues an early warning when receiving the low match signal.

[0012] Furthermore, the specific analysis process of the regional drill bit matching analysis module includes: The average value of the drilling life of all drill bits corresponding to the target object i in the drilling area within the management period is obtained and marked as the drilling life value, and the average value of the purchase price of all drill bits corresponding to the target object i is collected and marked as the drill bit price inspection value, and the average value of the investment amount for the repair and maintenance of all drill bits corresponding to the target object i is collected and marked as the drill bit maintenance value; The target matching coefficient is obtained by numerically calculating the drilling life value, the drill bit inspection value and the drill bit maintenance value, and the target matching coefficient is numerically compared with the preset target matching coefficient threshold. If the target matching coefficient exceeds the preset target matching coefficient threshold, a high matching signal of the target object i is generated; if the target matching coefficient does not exceed the preset target matching coefficient threshold, a low matching signal of the target object i is generated.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the working state data of the drill bit is collected through the drill bit working state monitoring module, the mechanical specific energy calculation and analysis module calculates the mechanical specific energy value of the drill bit at different drilling stages according to the working state data of the drill bit and applies the mechanical specific energy theory, and the drill bit wear prediction and analysis module combines the mechanical specific energy value and the physical and mechanical parameters of the rock currently encountered, and predicts the drill bit wear degree through the drill bit wear degree prediction model, which can reflect the drill bit wear condition in real time and accurately, is conducive to improving the working efficiency and ensuring the working safety, and helps to avoid relying on experience judgment and regular replacement to cause the waste of drill bits; 2. In the present invention, the drill bit auxiliary diagnosis module is used to perform auxiliary analysis on the abnormal performance of the drill bit when it is determined that the drill bit is not severely worn. When a qualified auxiliary diagnosis signal is generated, the drill bit operation control analysis module is used to perform analysis to determine the instruction execution performance. When a qualified instruction execution signal is generated, the safety status of the continued operation of the drill bit is analyzed by the follow-up operation safety decision module, thereby achieving a gradually progressive and accurate judgment on the drill bit operation risk, which is conducive to the management personnel to take corresponding improvement measures in time, further ensure the safe and stable operation of the drill bit and increase the service life of the drill bit. It has a high degree of intelligence and significantly reduces the management difficulty of the management personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings; Figure 1This is a system block diagram of Embodiment 1 of the present invention; Figure 2 This is a system block diagram of Embodiment 2, Embodiment 3 and Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Embodiment 1: Figure 1 As shown, the present invention proposes a drill wear prediction and analysis system based on mechanical specific energy theory, which includes a drill working state monitoring module, a mechanical specific energy calculation and analysis module, a rock parameter input module, a drill wear prediction and analysis module, a drill auxiliary diagnosis module and a background supervision terminal; The drill bit working state monitoring module monitors the working state of the drill bit, collects the working state data of the drill bit, wherein the working state data includes axial pressure, rotation speed, drilling speed and torque, etc., and sends the working state data of the drill bit to the mechanical specific energy calculation and analysis module; The mechanical specific energy calculation and analysis module calculates the mechanical specific energy value of the drill bit at different drilling stages according to the working status data collected by the drill bit working status monitoring module using the mechanical specific energy theory, and sends the mechanical specific energy value of the drill bit to the drill bit wear prediction and analysis module; It should be noted that mechanical specific energy is an important indicator reflecting the working efficiency and energy consumption ratio of the drill bit. As the drill bit wears, its rock crushing efficiency will decrease, that is, more energy is required to complete the same crushing task, so the mechanical specific energy value will change. The change in the mechanical specific energy value can indirectly reflect the wear condition of the drill bit.

[0017] The rock parameter input module is used to input the physical and mechanical parameters of the current rock being drilled, where the physical and mechanical parameters of the current rock being drilled include hardness, compressive strength and fracture toughness, etc., and the physical and mechanical parameters of the current rock being drilled are sent to the drill bit wear prediction and analysis module; it should be noted that the rock parameters have a direct impact on the drill bit wear rate and are an important reference for predicting the degree of drill bit wear.

[0018] The drill bit wear prediction and analysis module combines the mechanical specific energy value and the physical and mechanical parameters of the rock currently encountered, and predicts the drill bit wear degree through the drill bit wear degree prediction model. It should be noted that the drill bit wear degree prediction model is constructed using machine learning algorithms (such as support vector machines, random forests, neural networks, etc.), and the model can achieve accurate prediction of the drill bit wear degree; The drill bit wear prediction results are sent to the background supervision end and the drill bit auxiliary diagnosis module. When the drill bit is judged to be severely worn, the background supervision end will issue an early warning, which can reflect the drill bit wear in real time and accurately to remind management personnel to replace the drill bit or adjust drilling parameters, so as to improve work efficiency and ensure work safety. It also helps to avoid relying on experience judgment and regular replacement that leads to drill bit waste.

[0019] When it is determined that the drill bit is not severely worn, the drill bit auxiliary diagnosis module performs auxiliary analysis on the abnormal performance of the drill bit, generates an auxiliary diagnosis qualified signal or an auxiliary diagnosis abnormal signal through analysis, and sends the auxiliary diagnosis qualified signal or the auxiliary diagnosis abnormal signal to the background supervision end; When the background monitoring terminal receives an abnormal auxiliary diagnosis signal, it issues an early warning to remind the management personnel to promptly investigate the cause and make reasonable improvement measures, and to suspend the drill bit as needed, thereby ensuring the safety and stability of the drilling process and improving the service life of the drill bit, significantly reducing the management difficulty of the management personnel; the specific analysis process of the drill bit auxiliary diagnosis module is as follows: The temperature data and vibration data of the drill bit (i.e., the data value of the vibration amplitude) are collected, and the temperature data and vibration data are numerically compared with the preset temperature risk threshold and the preset vibration risk threshold respectively. If the temperature data or the vibration data exceeds the corresponding preset threshold, it indicates that the real-time operation of the drill bit is abnormal, and the drill bit is judged to be in a risk hidden danger state; The total time that the drill bit is in a risk potential state within a unit time is obtained and marked as the total risk potential time value, and the ratio of the average value of all temperature data of the drill bit within a unit time to the preset temperature risk threshold is marked as the drill bit temperature judgment value, and the ratio of the average value of all vibration data of the drill bit within a unit time to the preset vibration risk threshold is marked as the drill bit vibration judgment value; By formula The total time value of risk hidden danger ZN, the drill bit temperature judgment value ZW and the drill bit vibration judgment value ZP are numerically calculated to obtain the drill bit hidden danger preliminary evaluation value ZY, wherein uy1, uy2 and uy3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the drill bit hidden danger preliminary evaluation value ZY is, the higher the operation hidden danger of the drill bit in unit time is. The drill bit hidden danger initial evaluation value ZY is numerically compared with the preset drill bit hidden danger initial evaluation threshold. If the drill bit hidden danger initial evaluation value ZY exceeds the preset drill bit hidden danger initial evaluation threshold, it indicates that the operation hidden danger of the drill bit per unit time is initially high, and an auxiliary diagnosis abnormal signal is generated.

[0020] Furthermore, if the drill bit hidden danger initial evaluation value ZY does not exceed the preset drill bit hidden danger initial evaluation threshold, a number of detection time points are set within a unit time, and the temperature data of two adjacent detection time points are calculated by difference to obtain the drill bit temperature rise value, and the vibration data of two adjacent detection time points are calculated by difference to obtain the drill bit vibration rise value; wherein, the larger the values ​​of the drill bit temperature rise value and the drill bit vibration rise value are, the more abnormal the operation performance of the drill bit in the corresponding interval time is; The number of drill bit temperature rise values ​​exceeding the preset drill bit temperature rise threshold value in unit time is marked as the drill bit temperature risk value, and the number of drill bit vibration rise values ​​exceeding the preset drill bit vibration rise threshold value in unit time is marked as the drill bit vibration risk value. The drill bit hidden danger initial evaluation value ZY, the drill bit temperature risk value LP and the drill bit vibration risk value LX are numerically calculated by the formula YM=fy1*ZY+(fy2*LP+fy3*LX) / 2 to obtain the drill bit hidden danger auxiliary evaluation value YM; wherein fy1, fy2, and fy3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the drill bit hidden danger auxiliary evaluation value YM is, the more abnormal the operation performance of the drill bit is; The drill bit hidden danger auxiliary evaluation value YM is numerically compared with the preset drill bit hidden danger auxiliary evaluation threshold. If the drill bit hidden danger auxiliary evaluation value YM exceeds the preset drill bit hidden danger auxiliary evaluation threshold, it indicates that the operating performance of the drill bit is relatively abnormal, and an auxiliary diagnosis abnormal signal is generated; if the drill bit hidden danger auxiliary evaluation value YM does not exceed the preset drill bit hidden danger auxiliary evaluation threshold, it indicates that the operating performance of the drill bit is relatively normal, and an auxiliary diagnosis qualified signal is generated.

[0021] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the drill bit auxiliary diagnosis module is connected to the drill bit operation control analysis module in communication, and the user issues corresponding control instructions through the background supervision end to control the operation of the drill bit. The drill bit operation control analysis module monitors the execution of all control instructions issued by the background supervision end within a unit time, and the drill bit auxiliary diagnosis module sends an auxiliary diagnosis qualified signal to the drill bit operation control analysis module; When the drill operation and control analysis module receives the auxiliary diagnosis qualified signal, it judges the instruction execution performance through analysis, and generates an instruction execution risk signal or an instruction execution qualified signal based on it, and sends the instruction execution risk signal or the instruction execution qualified signal to the background supervision end. When the background supervision end receives the instruction execution risk signal, it issues an early warning to remind the management personnel to take corresponding improvement and optimization measures in time to ensure the control efficiency of the drill bit and improve the operation safety of the drill bit. The specific analysis process of the drill operation and control analysis module is as follows: The time when the corresponding control instruction is issued is collected and marked as the detection time, and the time when the drill bit is regulated based on the corresponding control instruction is marked as the adjustment time, and the interval between the detection time and the adjustment time is marked as the regulation efficiency coefficient; wherein, the larger the value of the regulation efficiency coefficient is, the slower the execution efficiency of the corresponding control instruction is; Obtain all control efficiency coefficients within a unit time, calculate the ratio of the control efficiency coefficient to the corresponding preset control efficiency coefficient threshold to obtain the control effectiveness value, and mark the number of control efficiency coefficients exceeding the preset control efficiency coefficient threshold within a unit time as the control effectiveness abnormality value, and calculate the average of all control effectiveness values ​​within a unit time to obtain the control effectiveness table value, and mark the control effectiveness value with the largest value within a unit time as the control abnormality value; The drill bit operation control risk value GL is obtained by numerically calculating the control effect difference value QF, the control effect table value HM and the control difference amplitude value TF through the formula GL=sw1*QF+(sw2*HM+sw3*TF) / 2; wherein sw1, sw2 and sw3 are preset proportional coefficients, sw1>sw2>sw3>0; and the larger the value of the drill bit operation control risk value GL is, the worse the overall operation control performance of the drill bit in unit time is, the more difficult it is to achieve efficient control of the drill bit, and the less conducive it is to ensure the operation safety of the drill bit; The drill operation and control risk value GL is numerically compared with the preset drill operation and control analysis threshold. If the drill operation and control risk value GL exceeds the preset drill operation and control risk threshold, it indicates that the operation control performance of the drill bit in unit time is generally poor, which is not conducive to ensuring the operation safety of the drill bit, and an instruction execution risk signal is generated; if the drill operation and control risk value GL does not exceed the preset drill operation and control risk threshold, it indicates that the operation control performance of the drill bit in unit time is generally good, and an instruction execution qualified signal is generated.

[0022] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the drill operation control analysis module is connected to the successor operation safety decision module in communication, and the drill operation control analysis module sends the command execution qualified signal to the successor operation safety decision module. When the successor operation safety decision module receives the command execution qualified signal, it analyzes the safety status of the continued operation of the drill bit, and generates a successor operation safety signal or a successor operation risk signal through analysis; The operation safety signal or operation risk signal is sent to the background monitoring end. When the background monitoring end receives the operation risk signal, it issues an early warning to remind the management personnel to suspend the operation of the drill bit and take a rest in time to avoid damage to the drill bit or safety accidents caused by continued operation, further prolong the service life of the drill bit and reduce the management difficulty of the management personnel. The specific analysis process of the operation safety decision module is as follows: The start time of the drill bit's current operation is collected, and the time difference between the current time and the start time of the current operation is calculated to obtain the drill bit operation value, and the drill bit operation value is compared with the preset drill bit operation threshold. If the drill bit operation value exceeds the preset drill bit operation threshold, it indicates that the drill bit's current operation duration is long and the risk of continuing to operate is high, and a continued operation risk signal is generated; If the drill bit operation value does not exceed the preset drill bit operation threshold, the time difference between the end time of the last operation process of the drill bit and the start time of the current operation is calculated to obtain the stop duration, and the ratio of the drill bit operation value of the last operation process to the stop duration is marked as the stop abnormality coefficient; wherein, when the value of the stop abnormality coefficient is too large, it indicates that the rest effect of the corresponding stop and rest process of the drill bit is not good; The stop abnormality coefficient is numerically compared with the preset stop abnormality coefficient threshold. If the stop abnormality coefficient does not exceed the preset stop time threshold, it indicates that the resting effect of the corresponding stop resting process of the drill bit is not good, then the adjacent previous operation process is marked as the high-impact process of the current operation and continues to be traced back until the stop abnormality coefficient of the corresponding operation process traced back does not exceed the preset stop abnormality coefficient threshold, thereby obtaining all the high-impact processes of the current operation; The drill operation value of the current operation is calculated by summing up the drill operation value of all high-impact processes, and the drill stop value is calculated by summing up all stop times within the interval between the first group of high-impact processes and the current operation, and the ratio of the drill operation value to the drill stop value is marked as the drill operation analysis value; The drill bit operation analysis value is numerically compared with the preset drill bit operation analysis threshold. If the drill bit operation analysis value exceeds the preset drill bit operation analysis threshold, it indicates that the risk of the drill bit continuing to operate is relatively high, and a operation risk signal is generated; if the drill bit operation analysis value does not exceed the preset drill bit operation analysis threshold, it indicates that the risk of the drill bit continuing to operate is relatively low, and a operation safety signal is generated.

[0023] Embodiment 4: Figure 2 As shown, the difference between this embodiment and the first embodiment, the second embodiment and the third embodiment is that the background supervision end is communicated with the regional drill bit matching analysis module, and the regional drill bit matching analysis module obtains the drilling area that needs to be managed, takes the current date as the end date and traces back to set the management period of the number of days as L1, preferably, L1 is one hundred and fifty days; when the number of days reaches L1, all drill bits used for drilling in the drilling area within the management period are obtained and classified, and the corresponding type of drill bits are marked as target objects i, and i is a natural number greater than or equal to 1; By analyzing the drilling compatibility of the target object i and the corresponding drilling area, a high matching signal or a low matching signal of the target object i is generated, and the high matching signal or the low matching signal of the target object i is sent to the background monitoring end. When the background monitoring end receives the low matching signal, an early warning is issued. When drilling in the corresponding drilling area, the management personnel will gradually eliminate the drill bits corresponding to the low matching objects and give priority to the drill bits corresponding to the high matching objects, which is conducive to the reasonable selection of drill bits to ensure the drilling effect and reduce the drilling cost, and has a high degree of intelligence. The specific analysis process of the regional drill bit matching analysis module is as follows: The average value of the drilling life of all drill bits corresponding to the target object i in the drilling area within the management period is obtained and marked as the drilling life value, and the average value of the purchase price of all drill bits corresponding to the target object i is collected and marked as the drill bit price inspection value, and the average value of the investment amount for the repair and maintenance of all drill bits corresponding to the target object i is collected and marked as the drill bit maintenance value; By formula The drilling life value WFi, the drill bit inspection value WSi and the drill bit maintenance value WPi are numerically calculated to obtain the target matching coefficient WXi; wherein rq1, rq2 and rq3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the target matching coefficient WXi, the less cost-effective it is to drill through the target object i in the corresponding drilling area, that is, the worse the matching between the target object i and the corresponding drilling area; The target matching coefficient WXi is numerically compared with the preset target matching coefficient threshold. If the target matching coefficient WXi exceeds the preset target matching coefficient threshold, it indicates that it is more cost-effective to drill through the target object i in the corresponding drilling area, and the matching of the target object i and the corresponding drilling area is better, then a high matching signal of the target object i is generated; if the target matching coefficient WXi does not exceed the preset target matching coefficient threshold, it indicates that it is not cost-effective to drill through the target object i in the corresponding drilling area, and the matching of the target object i and the corresponding drilling area is poor, then a low matching signal of the target object i is generated.

[0024] The working principle of the present invention is as follows: when in use, the working status data of the drill bit is collected through the drill bit working status monitoring module, the mechanical specific energy calculation and analysis module calculates the mechanical specific energy value of the drill bit in different drilling stages according to the working status data of the drill bit and applies the mechanical specific energy theory, the drill bit wear prediction and analysis module combines the mechanical specific energy value and the physical and mechanical parameters of the rock currently encountered, and predicts the degree of wear of the drill bit through the drill bit wear degree prediction model, which can reflect the wear of the drill bit in real time and accurately to remind the management personnel to replace the drill bit or adjust the drilling parameters, etc., improve the operation efficiency and ensure the safety of the operation, help avoid relying on experience judgment and regular replacement to cause the waste of the drill bit, and when it is judged that the drill bit is not seriously worn, the drill bit auxiliary diagnosis module performs auxiliary analysis on the abnormal performance of the drill bit, conducts cause investigation and makes reasonable improvement measures when generating auxiliary diagnosis abnormal signals, further ensures the safety and stability of the drilling process and improves the service life of the drill bit, significantly reduces the management difficulty of the management personnel, and has a high degree of intelligence.

[0025] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A drill wear prediction and analysis system based on mechanical specific energy theory, characterized in that: It includes drill bit working status monitoring module, mechanical specific energy calculation and analysis module, rock parameter input module, drill bit wear prediction and analysis module, drill bit auxiliary diagnosis module and background supervision terminal; The drill bit working state monitoring module monitors the working state of the drill bit and collects the working state data of the drill bit. The mechanical specific energy calculation and analysis module calculates the mechanical specific energy value of the drill bit at different drilling stages based on the working state data of the drill bit using the mechanical specific energy theory, and sends the mechanical specific energy value of the drill bit to the drill bit wear prediction and analysis module; the rock parameter input module is used to input the physical and mechanical parameters of the current rock encountered by drilling, and sends the physical and mechanical parameters of the current rock encountered by drilling to the drill bit wear prediction and analysis module; The drill bit wear prediction and analysis module combines the mechanical specific energy value and the physical and mechanical parameters of the current rock encountered, and predicts the drill bit wear degree through the drill bit wear degree prediction model. When the drill bit is judged to be severely worn, the background supervision end will issue an early warning; when it is judged that the drill bit is not severely worn, the drill bit auxiliary diagnosis module will assist in the analysis of the abnormal performance of the drill bit, and when the auxiliary diagnosis abnormal signal is generated, the background supervision end will issue an early warning.

2. The drill wear prediction and analysis system based on mechanical specific energy theory according to claim 1 is characterized in that: The specific analysis process of the drill bit auxiliary diagnosis module includes: The drill bit hidden danger preliminary assessment value is obtained by numerically calculating the total time value of risk hidden danger, drill bit temperature judgment value and drill bit vibration judgment value. If the drill bit hidden danger preliminary assessment value exceeds the preset drill bit hidden danger preliminary assessment threshold, an auxiliary diagnosis abnormal signal is generated.

3. The drill wear prediction and analysis system based on mechanical specific energy theory according to claim 2 is characterized in that: If the drill bit hidden danger initial assessment value does not exceed the preset drill bit hidden danger initial assessment threshold, the drill bit hidden danger auxiliary assessment value is obtained by numerically calculating the drill bit hidden danger initial assessment value, the drill bit temperature risk value and the drill bit vibration risk value. If the drill bit hidden danger auxiliary assessment value exceeds the preset drill bit hidden danger auxiliary assessment threshold, an auxiliary diagnosis abnormal signal is generated; if the drill bit hidden danger auxiliary assessment value does not exceed the preset drill bit hidden danger auxiliary assessment threshold, an auxiliary diagnosis qualified signal is generated.

4. The drill wear prediction and analysis system based on mechanical specific energy theory according to claim 2, characterized in that: The drill bit auxiliary diagnosis module is communicatively connected to the drill bit operation and control analysis module. The drill bit auxiliary diagnosis module sends an auxiliary diagnosis qualified signal to the drill bit operation and control analysis module. When the drill bit operation and control analysis module receives the auxiliary diagnosis qualified signal, it judges the instruction execution performance through analysis, and generates an instruction execution risk signal or an instruction execution qualified signal accordingly.

5. The drill wear prediction and analysis system based on mechanical specific energy theory according to claim 4 is characterized in that: The specific analysis process of the drill bit operation and control analysis module includes: The drill operation and control risk value is obtained by numerically calculating the control effect difference value, the control effect table value and the control difference amplitude value. If the drill operation and control risk value exceeds the preset drill operation and control risk threshold, an instruction execution risk signal is generated; otherwise, an instruction execution qualified signal is generated.

6. The drill wear prediction and analysis system based on mechanical specific energy theory according to claim 4, characterized in that: The drill operation control and analysis module is communicatively connected to the successor operation safety decision module. The drill operation control and analysis module sends the command execution qualified signal to the successor operation safety decision module. When the successor operation safety decision module receives the command execution qualified signal, it analyzes the safety status of the continued operation of the drill bit, and generates a successor operation safety signal or a successor operation risk signal through the analysis.

7. The drill wear prediction and analysis system based on mechanical specific energy theory according to claim 6, characterized in that: The specific analysis process of the relay safety decision module is as follows: The start time of the drill bit's current operation is collected, and the time difference between the current time and the start time of the current operation is calculated to obtain the drill bit operation value. If the drill bit operation value exceeds the preset drill bit operation threshold, a subsequent operation risk signal is generated; If the drill bit operation value does not exceed the preset drill bit operation threshold, the drill bit operation analysis value is numerically compared with the preset drill bit operation analysis threshold. If the drill bit operation analysis value exceeds the preset drill bit operation analysis threshold, a operation risk signal is generated; otherwise, a operation safety signal is generated.

8. The drill wear prediction and analysis system based on mechanical specific energy theory according to claim 1, characterized in that: The backend supervisory end communicates with the regional drill bit matching analysis module, and the regional drill bit matching analysis module obtains the drilling area that needs to be managed, obtains and classifies all drill bits used for drilling in the drilling area within the management period, and marks the corresponding type of drill bit as the target object i, where i is a natural number greater than or equal to 1; Analyze the drilling compatibility of the target object i with the corresponding drilling area, and if the target matching coefficient exceeds a preset target matching coefficient threshold, generate a high matching signal for the target object i; Otherwise, a low matching signal for target object i is generated.

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