Drill bit operation performance test system based on data acquisition and transmission

Abstract

The invention relates to the technical field of drill bit performance testing, in particular to a drill bit operation performance testing system based on data acquisition and transmission, and aims at solving the problems that an existing drill bit operation performance testing system cannot comprehensively reflect the quality state and the operation state of a drill bit and cannot find drill bit defects in time. The system finds potential defects of the drill bit in advance and intelligently selects a proper drill bit through a multi-dimensional detection means before use, drilling accidents caused by quality problems are avoided, the loss cost of the drill bit is reduced, the replacement frequency is reduced, the drilling efficiency is remarkably improved, meanwhile, the operation state of the drill bit in the use process can be monitored in real time, and the safety is improved. Potential faults can be found and early warned in time, safety accidents are effectively avoided, comprehensive guarantee is provided for efficient and safe use of the drill bit, the safety and efficiency of drilling operation are effectively improved, the drilling cost is further optimized, the overall engineering benefit is improved, and the drilling industry is promoted to develop towards the intelligent and refined direction.

Description

Technical Field

[0001] The invention relates to the technical field of drill bit performance testing, and in particular to a drill bit operation performance testing system based on data acquisition and transmission. Background Art

[0002] In many drilling engineering fields, the drill bit is a key component that directly acts on the drilled medium such as rock. The quality of its operating performance is directly related to the efficiency, cost and safety of the entire project. However, the traditional drill bit performance test method is mainly based on manual experience judgment. This subjective judgment method is not only time-consuming and inefficient, but also easily affected by the operator's technical level and experience differences, thereby introducing human errors, resulting in poor accuracy. With the continuous development of sensor technology and information technology, automated and intelligent testing systems have gradually replaced traditional manual testing methods. However, most of the existing drill bit operating performance test systems can only monitor a single parameter, lack comprehensive data collection, transmission and analysis capabilities, and cannot fully reflect the quality status and operating status of the drill bit, and cannot detect drill bit defects in time. Once these defects are exposed during drilling operations, the drilling efficiency will be affected at the least, and serious accidents such as drill bit breakage and drill jamming will be caused at the worst, endangering personnel safety and project progress.

[0003] Therefore, it is of great significance to develop a drill bit operation performance testing system based on data acquisition and transmission. Summary of the invention

[0004] In order to overcome the above-mentioned technical problems, the purpose of the present invention is to provide a drill bit operation performance testing system based on data acquisition and transmission, which solves the problem that the existing drill bit operation performance testing system cannot fully reflect the quality status and operation status of the drill bit and cannot detect drill bit defects in time.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] The drill bit operation performance test system based on data acquisition and transmission includes:

[0007] A drill bit monitoring module, used for obtaining drill bit monitoring parameters of a selected drill bit and sending the drill bit monitoring parameters to the information analysis module; wherein the drill bit monitoring parameters include a speed deviation value SP, a torque deviation value NP, a vibration deviation value ZP and a temperature deviation value WP;

[0008] An information analysis module is used to obtain a drill bit monitoring coefficient ZJ according to the drill bit monitoring parameters, and send the drill bit monitoring coefficient ZJ to the abnormality judgment module;

[0009] The specific process of the information analysis module obtaining the drill bit monitoring coefficient ZJ is as follows:

[0010] The speed deviation value SP, the torque deviation value NP, the vibration deviation value ZP and the temperature deviation value WP are normalized, and the values ​​of the speed deviation value SP, the torque deviation value NP, the vibration deviation value ZP and the temperature deviation value WP are quantified according to a preset drill bit monitoring model to obtain a drill bit monitoring coefficient ZJ;

[0011] Among them, the drill bit monitoring model is as follows:

[0012]

[0013] Where:

[0014] β is the preset error adjustment factor, β=0.961;

[0015] e and π are both mathematical constants;

[0016] α1, α2, α3 and α4 are respectively the preset weight factors corresponding to the set speed deviation value SP, torque deviation value NP, vibration deviation value ZP and temperature deviation value WP, α1, α2, α3 and α4 satisfy α2>α3>α1>α4>2.019, and α1=2.79, α2=3.85, α3=3.12, α4=2.36;

[0017] An abnormality judgment module is used to generate an abnormality alarm instruction according to the drill bit monitoring coefficient ZJ, and send the abnormality alarm instruction to the abnormality alarm module;

[0018] The abnormal alarm module is used to sound an abnormal alarm bell after receiving an abnormal alarm instruction.

[0019] As a further solution of the present invention, the specific process of the drill bit monitoring module obtaining the drill bit monitoring parameters is as follows:

[0020] The drilling rig is started, and the maximum speed, minimum speed and average speed of the selected drill bit per unit time are obtained, and the difference between the maximum speed and the minimum speed is obtained, and marked as the maximum speed difference JS, and the difference between the average speed and the preset standard speed is obtained, and marked as the average speed difference JV, and the maximum speed difference JS and the average speed difference JV are quantified, and the values ​​of the maximum speed difference JS and the average speed difference JV are extracted and substituted into the formula for calculation, and the speed deviation value SP is obtained according to the formula SP=s1×JS+s2×JV; wherein, s1 and s2 are the preset proportional coefficients corresponding to the set maximum speed difference JS and the average speed difference JV, respectively, and s1 and s2 satisfy s1+s2=1, 0<s1<s2<1, and s1=0.32 and s2=0.68;

[0021] Obtain the difference between the torque of the selected drill bit and the preset standard torque, and mark it as a torque deviation value NP;

[0022] The difference between the vibration frequency of the selected drill bit and the preset standard vibration frequency is obtained, and marked as the frequency value PL. The difference between the amplitude of the selected drill bit and the preset standard amplitude is obtained, and marked as the amplitude value FD. The frequency value PL and the amplitude value FD are quantified, and the values ​​of the frequency value PL and the amplitude value FD are extracted and substituted into the formula for calculation. According to the formula ZP = (π + e-1.35) z1×PL+z2×FD Obtain the vibration deviation value ZP; wherein π and e are mathematical constants, z1 and z2 are preset proportional coefficients corresponding to the set frequency value PL and amplitude value FD, respectively, z1 and z2 satisfy z1+z2=1, 0<z2<z1<1, and z1=0.59 and z2=0.41;

[0023] Get the temperature of the selected drill bit and mark it as the temperature deviation value WP;

[0024] The speed deviation value SP, the torque deviation value NP, the vibration deviation value ZP and the temperature deviation value WP are sent to the information analysis module.

[0025] As a further solution of the present invention, the specific process of the abnormality judgment module generating an abnormality alarm instruction is as follows:

[0026] The drill bit monitoring coefficient ZJ is compared with the preset drill bit monitoring threshold ZJy, and the comparison results are as follows:

[0027] If the drill bit monitoring coefficient ZJ≥the drill bit monitoring threshold ZJy, an abnormal alarm instruction is generated and sent to the abnormal alarm module.

[0028] As a further solution of the present invention, the drill bit operation performance test system based on data acquisition and transmission further includes:

[0029] The drill bit detection module is used to obtain the drill bit selection parameters of the detection object o and send the drill bit selection parameters to the information analysis module; wherein the drill bit selection parameters include weight information ZT, area information MJ and defect information QX.

[0030] As a further solution of the present invention, the specific process of the drill bit detection module obtaining the drill bit selection parameters is as follows:

[0031] Mark all drill bits as detection objects o in sequence, where o=1, ..., v, where v is a positive integer, o is the number of any detection object, and v is the total number of detection objects;

[0032] Obtain the difference between the weight of the detection object o and the preset standard weight, and mark it as the weight value ZL; obtain the difference between the volume of the detection object o and the preset standard volume, and mark it as the volume value TJ; quantify the weight value ZL and the volume value TJ, extract the values ​​of the weight value ZL and the volume value TJ, and substitute them into the formula for calculation; according to the formula Obtain weight information ZT; wherein t1 and t2 are preset proportional coefficients corresponding to the set weight value ZL and volume value TJ, respectively, t1 and t2 satisfy t1+t2=1, 0<t2<t1<1, and t1=0.59 and t2=0.41;

[0033] Obtain the difference between the front view area of ​​the detection object o and the preset standard front view area, and mark it as the front difference ZM, obtain the difference between the left view area of ​​the detection object o and the preset standard left view area, and mark it as the left difference LM, obtain the difference between the top view area of ​​the detection object o and the preset standard top view area, and mark it as the top difference FM, quantify the front difference ZM, the left difference LM and the top difference FM, extract the values ​​of the front difference ZM, the left difference LM and the top difference FM, and substitute them into the formula for calculation. According to the formula The area information MJ is obtained; wherein e is a mathematical constant, m1, m2 and m3 are respectively the preset proportional coefficients corresponding to the set front difference ZM, left difference LM and top difference FM, m1, m2 and m3 satisfy m1+m2+m3=1, 0<m3<m2<m1<1, and m1=0.41, m2=0.33, m3=0.26;

[0034] Obtain the rust area on the surface of the test object o and mark it as the rust value XJ. After flaw detection of the test object o, obtain the number of internal cracks of the test object o and mark it as the crack value LW. Quantify the rust value XJ and the crack value LW, extract the values ​​of the rust value XJ and the crack value LW, and substitute them into the formula for calculation. Obtain defect information QX; wherein q1 and q2 are preset proportional coefficients corresponding to the set rust value XJ and crack value LW, respectively, q1 and q2 satisfy q1+q2=1, 0<q1<q2<1, and q1=0.45, q2=0.55;

[0035] The heavy body information ZT, area information MJ and defect information QX are sent to the information analysis module.

[0036] As a further solution of the present invention, the information analysis module is also used to obtain a drill bit selection coefficient ZXo according to the drill bit selection parameters, and send the drill bit selection coefficient ZXo to the drill bit selection module.

[0037] As a further solution of the present invention, the specific process of the information analysis module obtaining the drill bit selection coefficient ZXo is as follows:

[0038] The weight information ZT, the area information MJ and the defect information QX are normalized, and the values ​​of the weight information ZT, the area information MJ and the defect information QX are quantified according to a preset drill selection model to obtain a drill selection coefficient ZXo;

[0039] Among them, the drill bit selection model is as follows:

[0040]

[0041] Where:

[0042] η is the preset error adjustment factor, and η=1.108;

[0043] e is a mathematical constant;

[0044] λ1, λ2 and λ3 are respectively the preset weight factors corresponding to the set heavy body information ZT, area information MJ and defect information QX, λ1, λ2 and λ3 satisfy λ3>λ1>λ2>1.296, and λ1=1.98, λ2=1.51, λ3=2.36;

[0045] The drill selection coefficient ZXo is sent to the drill selection module.

[0046] As a further solution of the present invention, the drill bit operation performance test system based on data acquisition and transmission further includes:

[0047] The drill bit selection module is used to obtain the selected drill bit according to the drill bit selection coefficient ZXo and install the selected drill bit on the drilling rig.

[0048] As a further solution of the present invention, the specific process of the drill bit selection module obtaining the selected drill bit is as follows:

[0049] All the detection objects o are sorted from large to small according to the drill selection coefficient ZXo to form a drill usage order list, and the detection object o at the first position is marked as the selected drill bit, and the selected drill bit is installed on the drilling rig.

[0050] Beneficial effects of the present invention:

[0051] The drill bit operation performance test system based on data acquisition and transmission of the present invention firstly performs data acquisition on the drill bit to obtain drill bit selection parameters. The drill bit selection coefficient obtained according to the drill bit selection parameters can comprehensively measure the quality status of the drill bit, and the larger the drill bit selection coefficient is, the higher the quality status is. Then, the drill bit with high quality status is selected for use. Then, data acquisition and transmission are performed on the drill bit in the use process to obtain drill bit monitoring parameters. The drill bit monitoring coefficient obtained according to the drill bit monitoring parameters can comprehensively measure the abnormality of the drill bit operation status, and the larger the drill bit monitoring coefficient is, the higher the abnormality of the operation status is, so as to realize the test of the drill bit operation performance, and finally perform abnormal alarm processing;

[0052] The system uses multi-dimensional detection methods before use to detect potential defects of the drill bit in advance and intelligently select the appropriate drill bit, avoiding drilling accidents caused by quality problems, reducing drill bit loss costs, reducing the number of replacements, and significantly improving drilling efficiency. At the same time, it can also monitor the operating status of the drill bit in real time during use, promptly detect and warn of potential faults, and effectively avoid the occurrence of safety accidents. It provides all-round guarantees for the efficient and safe use of the drill bit, effectively improves the safety and efficiency of drilling operations, further optimizes drilling costs, improves overall engineering benefits, and promotes the drilling industry to develop in the direction of intelligence and refinement. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The present invention will be further described below in conjunction with the accompanying drawings.

[0054] Figure 1 It is a principle block diagram of the drill bit operation performance test system based on data acquisition and transmission in the present invention;

[0055] Figure 2 It is a flow chart of the working method of the drill bit running performance testing system based on data acquisition and transmission in the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with 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.

[0057] Embodiment 1:

[0058] See also Figure 1 As shown, this embodiment is a drill bit operation performance test system based on data acquisition and transmission, including the following modules: a drill bit detection module, an information analysis module, a drill bit selection module, a drill bit monitoring module, an abnormality judgment module and an abnormality alarm module;

[0059] The drill bit detection module is used to obtain the drill bit selection parameters of the detection object o, and send the drill bit selection parameters to the information analysis module; wherein the drill bit selection parameters include weight information ZT, area information MJ and defect information QX;

[0060] The information analysis module is used to obtain a drill bit selection coefficient ZXo according to the drill bit selection parameters, and send the drill bit selection coefficient ZXo to the drill bit selection module; it is also used to obtain a drill bit monitoring coefficient ZJ according to the drill bit monitoring parameters, and send the drill bit monitoring coefficient ZJ to the abnormality judgment module;

[0061] The drill bit selection module is used to obtain a selected drill bit according to the drill bit selection coefficient ZXo, and install the selected drill bit on the drilling rig;

[0062] The drill bit monitoring module is used to obtain the drill bit monitoring parameters of the selected drill bit and send the drill bit monitoring parameters to the information analysis module; wherein the drill bit monitoring parameters include a speed deviation value SP, a torque deviation value NP, a vibration deviation value ZP and a temperature deviation value WP;

[0063] The abnormality judgment module is used to generate an abnormality alarm instruction according to the drill bit monitoring coefficient ZJ, and send the abnormality alarm instruction to the abnormality alarm module;

[0064] The abnormal alarm module is used to sound an abnormal alarm ring after receiving an abnormal alarm instruction.

[0065] Embodiment 2:

[0066] See also Figure 2 As shown, this embodiment is a working method of a drill bit running performance test system based on data acquisition and transmission, comprising the following steps:

[0067] Step 1: The drill bit detection module obtains the drill bit selection parameters of the detection object o, wherein the drill bit selection parameters include weight information ZT, area information MJ and defect information QX, and sends the drill bit selection parameters to the information analysis module;

[0068] Step 2: The information analysis module obtains the drill bit selection coefficient ZXo according to the drill bit selection parameters, and sends the drill bit selection coefficient ZXo to the drill bit selection module;

[0069] Step 3: The drill bit selection module obtains the selected drill bit according to the drill bit selection coefficient ZXo, and installs the selected drill bit on the drilling rig;

[0070] Step 4: The drill bit monitoring module obtains the drill bit monitoring parameters of the selected drill bit, wherein the drill bit monitoring parameters include a speed deviation value SP, a torque deviation value NP, a vibration deviation value ZP, and a temperature deviation value WP, and sends the drill bit monitoring parameters to the information analysis module;

[0071] Step 5: The information analysis module obtains the drill bit monitoring coefficient ZJ according to the drill bit monitoring parameters, and sends the drill bit monitoring coefficient ZJ to the abnormality judgment module;

[0072] Step 6: The abnormality judgment module generates an abnormality alarm instruction according to the drill bit monitoring coefficient ZJ, and sends the abnormality alarm instruction to the abnormality alarm module;

[0073] Step 7: After receiving the abnormal alarm instruction, the abnormal alarm module sounds the abnormal alarm bell.

[0074] Embodiment 3:

[0075] Based on any of the above embodiments, Embodiment 3 of the present invention is a drill bit detection module. The function of the drill bit detection module is to obtain drill bit selection parameters, wherein the drill bit selection parameters include weight information ZT, area information MJ and defect information QX. The specific process is as follows:

[0076] The drill bit detection module marks all the drill bits as detection objects o in sequence, where o=1, ..., v, where v is a positive integer, o is the number of any detection object, and v is the total number of detection objects;

[0077] The drill bit detection module obtains the difference between the weight of the detection object o and the preset standard weight, and marks it as the weight value ZL, obtains the difference between the volume of the detection object o and the preset standard volume, and marks it as the volume value TJ, quantifies the weight value ZL and the volume value TJ, extracts the values ​​of the weight value ZL and the volume value TJ, and substitutes them into the formula for calculation. Obtain weight information ZT; wherein t1 and t2 are preset proportional coefficients corresponding to the set weight value ZL and volume value TJ, respectively, t1 and t2 satisfy t1+t2=1, 0<t2<t1<1, and t1=0.59 and t2=0.41;

[0078] The drill bit detection module obtains the difference between the front view area of ​​the detection object o and the preset standard front view area, and marks it as the front difference ZM, obtains the difference between the left view area of ​​the detection object o and the preset standard left view area, and marks it as the left difference LM, obtains the difference between the top view area of ​​the detection object o and the preset standard top view area, and marks it as the top difference FM, quantifies the front difference ZM, the left difference LM and the top difference FM, extracts the values ​​of the front difference ZM, the left difference LM and the top difference FM, and substitutes them into the formula for calculation. According to the formula The area information MJ is obtained; wherein e is a mathematical constant, m1, m2 and m3 are respectively the preset proportional coefficients corresponding to the set front difference ZM, left difference LM and top difference FM, m1, m2 and m3 satisfy m1+m2+m3=1, 0<m3<m2<m1<1, and m1=0.41, m2=0.33, m3=0.26;

[0079] The drill bit detection module obtains the rust area on the surface of the detection object o and marks it as the rust value XJ. After flaw detection of the detection object o, the number of internal cracks of the detection object o is obtained and marked as the crack value LW. The rust value XJ and the crack value LW are quantified, and the values ​​of the rust value XJ and the crack value LW are extracted and substituted into the formula for calculation. According to the formula Obtain defect information QX; wherein q1 and q2 are preset proportional coefficients corresponding to the set rust value XJ and crack value LW, respectively, q1 and q2 satisfy q1+q2=1, 0<q1<q2<1, and q1=0.45, q2=0.55;

[0080] The drill bit detection module sends the weight information ZT, area information MJ and defect information QX to the information analysis module.

[0081] Embodiment 4:

[0082] Based on any of the above embodiments, Embodiment 4 of the present invention is an information analysis module, which has two functions:

[0083] One of the functions is to obtain the drill bit selection coefficient ZXo. The specific process is as follows:

[0084] The information analysis module normalizes the weight information ZT, the area information MJ and the defect information QX, and quantifies the values ​​of the weight information ZT, the area information MJ and the defect information QX according to the preset drill selection model to obtain the drill selection coefficient ZXo;

[0085] Among them, the drill bit selection model is as follows:

[0086]

[0087] Where:

[0088] η is the preset error adjustment factor, and η=1.108;

[0089] e is a mathematical constant;

[0090] λ1, λ2 and λ3 are respectively the preset weight factors corresponding to the set heavy body information ZT, area information MJ and defect information QX, λ1, λ2 and λ3 satisfy λ3>λ1>λ2>1.296, and λ1=1.98, λ2=1.51, λ3=2.36;

[0091] The information analysis module sends the drill bit selection coefficient ZXo to the drill bit selection module;

[0092] The second function is to obtain the drill bit monitoring coefficient ZJ. The specific process is as follows:

[0093] The information analysis module normalizes the speed deviation value SP, the torque deviation value NP, the vibration deviation value ZP and the temperature deviation value WP, and quantifies the values ​​of the speed deviation value SP, the torque deviation value NP, the vibration deviation value ZP and the temperature deviation value WP according to a preset drill bit monitoring model to obtain a drill bit monitoring coefficient ZJ;

[0094] Among them, the drill bit monitoring model is as follows:

[0095]

[0096] Where:

[0097] β is the preset error adjustment factor, β=0.961;

[0098] e and π are both mathematical constants;

[0099] α1, α2, α3 and α4 are respectively the preset weight factors corresponding to the set speed deviation value SP, torque deviation value NP, vibration deviation value ZP and temperature deviation value WP, α1, α2, α3 and α4 satisfy α2>α3>α1>α4>2.019, and α1=2.79, α2=3.85, α3=3.12, α4=2.36;

[0100] The information analysis module sends the drill bit monitoring coefficient ZJ to the abnormality judgment module.

[0101] Embodiment 5:

[0102] Based on any of the above embodiments, Embodiment 5 of the present invention is a drill bit selection module. The function of the drill bit selection module is to obtain a selected drill bit. The specific process is as follows:

[0103] The drill selection module sorts all the detection objects o according to the drill selection coefficient ZXo from large to small to form a drill usage order list, marks the detection object o at the first position as the selected drill, and installs the selected drill on the drilling rig.

[0104] Embodiment 6:

[0105] Based on any of the above embodiments, Embodiment 6 of the present invention is a drill bit monitoring module, and the function of the drill bit monitoring module is to obtain drill bit monitoring parameters, wherein the drill bit monitoring parameters include a speed deviation value SP, a torque deviation value NP, a vibration deviation value ZP, and a temperature deviation value WP. The specific process is as follows:

[0106] After the drilling rig is started, the drill bit monitoring module obtains the maximum speed, minimum speed and average speed of the selected drill bit per unit time, obtains the difference between the maximum speed and the minimum speed, and marks it as the maximum speed difference JS, obtains the difference between the average speed and the preset standard speed, and marks it as the average speed difference JV, quantifies the maximum speed difference JS and the average speed difference JV, extracts the values ​​of the maximum speed difference JS and the average speed difference JV, and substitutes them into the formula for calculation, and obtains the speed deviation value SP according to the formula SP=s1×JS+s2×JV; wherein s1 and s2 are the preset proportional coefficients corresponding to the set maximum speed difference JS and the average speed difference JV, respectively, s1 and s2 satisfy s1+s2=1, 0<s1<s2<1, and s1=0.32 and s2=0.68;

[0107] The drill bit monitoring module obtains the difference between the torque of the selected drill bit and the preset standard torque, and marks it as a torque deviation value NP;

[0108] The drill bit monitoring module obtains the difference between the vibration frequency of the selected drill bit and the preset standard vibration frequency, and marks it as the frequency value PL, obtains the difference between the amplitude of the selected drill bit and the preset standard amplitude, and marks it as the amplitude value FD, quantizes the frequency value PL and the amplitude value FD, extracts the values ​​of the frequency value PL and the amplitude value FD, and substitutes them into the formula for calculation. According to the formula ZP = (π + e-1.35) z1×PL+z2×FD Obtain the vibration deviation value ZP; wherein π and e are mathematical constants, z1 and z2 are preset proportional coefficients corresponding to the set frequency value PL and amplitude value FD, respectively, z1 and z2 satisfy z1+z2=1, 0<z2<z1<1, and z1=0.59 and z2=0.41;

[0109] The drill bit monitoring module obtains the temperature of the selected drill bit and marks it as the temperature deviation value WP;

[0110] The drill bit monitoring module sends the rotation speed deviation value SP, the torque deviation value NP, the vibration deviation value ZP and the temperature deviation value WP to the information analysis module.

[0111] Embodiment 7:

[0112] Based on any of the above embodiments, Embodiment 7 of the present invention is an abnormality judgment module. The function of the abnormality judgment module is to generate an abnormality alarm instruction. The specific process is as follows:

[0113] The abnormality judgment module compares the drill bit monitoring coefficient ZJ with the preset drill bit monitoring threshold ZJy. The comparison results are as follows:

[0114] If the drill bit monitoring coefficient ZJ≥the drill bit monitoring threshold ZJy, an abnormal alarm instruction is generated and sent to the abnormal alarm module.

[0115] Embodiment 8:

[0116] Based on any of the above embodiments, Embodiment 8 of the present invention is an abnormal alarm module, and the function of the abnormal alarm module is to sound an abnormal alarm ring after receiving an abnormal alarm instruction.

[0117] Based on the above embodiments 1-8, the working principle of the present invention is as follows:

[0118] The drill bit operation performance testing system based on data acquisition and transmission of the present invention obtains the drill bit selection parameters of the detection object through the drill bit detection module, obtains the drill bit selection coefficient according to the drill bit selection parameters through the information analysis module, obtains the selected drill bit according to the drill bit selection coefficient through the drill bit selection module, obtains the drill bit monitoring parameters of the selected drill bit through the drill bit monitoring module, obtains the drill bit monitoring coefficient according to the drill bit monitoring parameters through the information analysis module, generates an abnormal alarm instruction according to the drill bit monitoring coefficient through the abnormal judgment module, and sounds an abnormal alarm bell after receiving the abnormal alarm instruction through the abnormal alarm module; the system firstly performs data acquisition on the drill bit to obtain the drill bit selection parameters, and the drill bit selection coefficient obtained according to the drill bit selection parameters can comprehensively measure the quality status of the drill bit, and the larger the drill bit selection coefficient is, the higher the quality status is, and then the drill bit with high quality status is selected for use, and then the use process is analyzed The drill bit is used to collect and transmit data to obtain drill bit monitoring parameters. The drill bit monitoring coefficient obtained based on the drill bit monitoring parameters can comprehensively measure the degree of abnormality in the drill bit's operating status. The larger the drill bit monitoring coefficient, the higher the degree of abnormality in the operating status. The drill bit's operating performance can be tested and abnormal alarm processing can be performed finally. The system uses multi-dimensional detection methods before use to detect potential defects in the drill bit in advance and intelligently select a suitable drill bit to avoid drilling accidents caused by quality problems, reduce drill bit loss costs, reduce the number of replacements, and significantly improve drilling efficiency. At the same time, it can also monitor the operating status of the drill bit in real time during use, promptly detect and warn of potential faults, and effectively avoid the occurrence of safety accidents. It provides all-round guarantees for the efficient and safe use of the drill bit, effectively improves the safety and efficiency of drilling operations, further optimizes drilling costs, improves overall engineering benefits, and promotes the drilling industry to develop in the direction of intelligence and refinement.

[0119] It should be further explained that the above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technical personnel in this field according to actual conditions.

[0120] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0121] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the invention or exceed the scope defined in this application, they shall all fall within the protection scope of the present invention.

Claims

1. A drill bit operation performance test system based on data acquisition and transmission, characterized in that: include: A drill bit monitoring module, used for obtaining drill bit monitoring parameters of a selected drill bit and sending the drill bit monitoring parameters to the information analysis module; wherein the drill bit monitoring parameters include a speed deviation value SP, a torque deviation value NP, a vibration deviation value ZP and a temperature deviation value WP; An information analysis module is used to obtain a drill bit monitoring coefficient ZJ according to the drill bit monitoring parameters, and send the drill bit monitoring coefficient ZJ to the abnormality judgment module; The specific process of the information analysis module obtaining the drill bit monitoring coefficient ZJ is as follows: The values ​​of the speed deviation value SP, the torque deviation value NP, the vibration deviation value ZP and the temperature deviation value WP are quantified according to a preset drill bit monitoring model to obtain a drill bit monitoring coefficient ZJ; Among them, the drill bit monitoring model is as follows: Where: β is the preset error adjustment factor; e and π are both mathematical constants; α1, α2, α3 and α4 are respectively the preset weight factors corresponding to the set speed deviation value SP, torque deviation value NP, vibration deviation value ZP and temperature deviation value WP; An abnormality judgment module is used to generate an abnormality alarm instruction according to the drill bit monitoring coefficient ZJ, and send the abnormality alarm instruction to the abnormality alarm module; The abnormal alarm module is used to sound an abnormal alarm bell after receiving an abnormal alarm instruction.

2. The drill bit operation performance test system based on data acquisition and transmission according to claim 1 is characterized in that: The specific process of the drill bit monitoring module obtaining the drill bit monitoring parameters is as follows: The drilling rig is started, and the maximum speed, minimum speed and average speed of the selected drill bit within a unit time are obtained. The difference between the maximum speed and the minimum speed is obtained and marked as the maximum speed difference JS. The difference between the average speed and the preset standard speed is obtained and marked as the average speed difference JV. The maximum speed difference JS and the average speed difference JV are quantified, and the speed deviation value SP is obtained according to the formula SP=s1×JS+s2×JV; wherein s1 and s2 are the preset proportional coefficients corresponding to the set maximum speed difference JS and the average speed difference JV, respectively; Obtain the difference between the torque of the selected drill bit and the preset standard torque, and mark it as a torque deviation value NP; The difference between the vibration frequency of the selected drill bit and the preset standard vibration frequency is obtained and marked as the frequency value PL. The difference between the amplitude of the selected drill bit and the preset standard amplitude is obtained and marked as the amplitude value FD. The frequency value PL and the amplitude value FD are quantified according to the formula ZP = (π + e-1.35) z1×PL+z2×FD Obtain the vibration deviation value ZP; wherein π and e are mathematical constants, and z1 and z2 are preset proportional coefficients corresponding to the set frequency value PL and amplitude value FD respectively; Get the temperature of the selected drill bit and mark it as the temperature deviation value WP; The speed deviation value SP, the torque deviation value NP, the vibration deviation value ZP and the temperature deviation value WP are sent to the information analysis module.

3. The drill bit operation performance test system based on data acquisition and transmission according to claim 1 is characterized in that: The specific process of the abnormal judgment module generating an abnormal alarm instruction is as follows: The drill bit monitoring coefficient ZJ is compared with the preset drill bit monitoring threshold ZJy, and the comparison results are as follows: If the drill bit monitoring coefficient ZJ≥the drill bit monitoring threshold ZJy, an abnormal alarm instruction is generated and sent to the abnormal alarm module.

4. The drill bit operation performance test system based on data acquisition and transmission according to claim 1 is characterized in that: Also includes: The drill bit detection module is used to obtain the drill bit selection parameters of the detection object o and send the drill bit selection parameters to the information analysis module; wherein the drill bit selection parameters include weight information ZT, area information MJ and defect information QX.

5. The drill bit operation performance test system based on data acquisition and transmission according to claim 4 is characterized in that: The specific process of the drill bit detection module obtaining the drill bit selection parameters is as follows: Mark all the drill bits as detection objects o in sequence, where o=1, ..., v, where v is a positive integer, o is the number of any detection object, and v is the total number of detection objects; Obtain the difference between the weight of the test object o and the preset standard weight, and mark it as the weight value ZL; obtain the difference between the volume of the test object o and the preset standard volume, and mark it as the volume value TJ; quantify the weight value ZL and the volume value TJ, and use the formula Obtain weight information ZT; wherein t1 and t2 are preset proportional coefficients corresponding to the set weight value ZL and volume value TJ respectively; Get the difference between the front view area of ​​the detection object o and the preset standard front view area, and mark it as the front difference ZM, get the difference between the left view area of ​​the detection object o and the preset standard left view area, and mark it as the left difference LM, get the difference between the top view area of ​​the detection object o and the preset standard top view area, and mark it as the top difference FM, quantify the front difference ZM, the left difference LM and the top difference FM, and calculate the value according to the formula The area information MJ is obtained; wherein e is a mathematical constant, and m1, m2 and m3 are respectively the preset proportional coefficients corresponding to the set front difference ZM, left difference LM and top difference FM; Obtain the rust area on the surface of the test object o and mark it as the rust value XJ. After flaw detection of the test object o, obtain the number of internal cracks of the test object o and mark it as the crack value LW. The rust value XJ and the crack value LW are quantified according to the formula Obtain defect information QX; wherein q1 and q2 are preset proportional coefficients corresponding to the set rust value XJ and crack value LW respectively; The heavy body information ZT, area information MJ and defect information QX are sent to the information analysis module.

6. The drill bit operation performance test system based on data acquisition and transmission according to claim 1 is characterized in that: The information analysis module is also used to obtain a drill bit selection coefficient ZXo according to the drill bit selection parameters, and send the drill bit selection coefficient ZXo to the drill bit selection module.

7. The drill bit operation performance test system based on data acquisition and transmission according to claim 6 is characterized in that: The specific process of the information analysis module obtaining the drill bit selection coefficient ZXo is as follows: The values ​​of the weight information ZT, the area information MJ and the defect information QX are quantified according to the preset drill selection model to obtain the drill selection coefficient ZXo; Among them, the drill bit selection model is as follows: Where: η is the preset error adjustment factor; e is a mathematical constant; λ1, λ2 and λ3 are preset weight factors corresponding to the set weight information ZT, area information MJ and defect information QX respectively; The drill selection coefficient ZXo is sent to the drill selection module.

8. The drill bit operation performance test system based on data acquisition and transmission according to claim 1 is characterized in that: Also includes: The drill bit selection module is used to obtain the selected drill bit according to the drill bit selection coefficient ZXo and install the selected drill bit on the drilling rig.

9. The drill bit operation performance test system based on data acquisition and transmission according to claim 8, characterized in that: The specific process of the drill bit selection module obtaining the selected drill bit is as follows: All the detection objects o are sorted from large to small according to the drill selection coefficient ZXo to form a drill usage order list, and the detection object o at the first position is marked as the selected drill bit, and the selected drill bit is installed on the drilling rig.

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