Intelligent analysis control system and method for anchor bolt machine

Abstract

The present invention discloses an intelligent analysis control system and method for an anchor bolt machine, and relates to the technical field of intelligent analysis control; the intelligent analysis module, the intelligent inner wall analysis module, the intelligent tension analysis module and the control execution module are included; in order to solve the problems of human error and waste of resources, low construction efficiency and insufficient precision and potential safety hazards in the existing intelligent analysis control system for anchor bolt machines, the present invention uses an intelligent analysis module to monitor the drilling difficulty coefficient, inner wall friction coefficient and anchor bolt predicted tension in the drilling process in real time, and can dynamically adjust the drilling length, anchor bolt length and grouting pressure, so as to achieve precise control; intelligent adjustment can avoid human errors, reduce unnecessary adjustments and waste of resources during the construction process, and timely optimize parameters according to actual construction conditions to ensure that the best construction efficiency is achieved in each stage; through intelligent analysis, the overall construction period can be significantly shortened, and the controllability and adaptability of the project are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent analysis and control, and in particular to an intelligent analysis and control system and method for an anchor bolter. Background Art

[0002] The intelligent analysis and control system of the anchor bolt machine involves the application of modern sensor technology, artificial intelligence algorithms and automatic control modules, aiming to improve the accuracy and safety of the anchor bolt construction process. By installing high-precision sensors at the construction site, the system can monitor the geological conditions of the soil or rock, the application force and depth of the anchor bolt and the working status of the equipment in real time. After the collected multi-dimensional data is analyzed by intelligent algorithms, the system can automatically adjust the application force, depth and angle of the anchor bolt according to the geological conditions and construction progress to ensure the stability and efficiency of the construction process. At the same time, the system can also diagnose the operation of the equipment and predict faults, thereby extending the service life of the equipment and reducing human operating errors.

[0003] However, the system currently still faces some challenges. First, in the existing anchor construction process, operators often rely on experience to make adjustments, which can easily lead to human errors or unnecessary waste of resources. Second, in complex geological environments, it is often difficult to cope with sudden construction risks, leading to potential safety hazards, especially when the drilling difficulty increases. The anchor tension may not be able to be maintained in a safe range, causing safety accidents. In addition, in existing construction, environmental changes (such as soil changes, temperature changes, etc.) will affect the construction quality and lead to anchor failure. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and to provide an intelligent analysis control system and method for an anchor bolter.

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

[0006] In a first aspect, the present invention provides an intelligent analysis and control system for an anchor bolter, including an intelligent drilling analysis module, an intelligent inner wall analysis module, an intelligent tension analysis module, and a control execution module;

[0007] The intelligent drilling analysis module is used to analyze the drilling data of the bolter during the drilling process: the bolter drilling data includes physical parameters, geological layer characteristic data and environmental data; the physical parameters are comprehensively analyzed to obtain the physical parameter drilling value ADC; the geological layer characteristic data are analyzed to obtain the geological heterogeneity adjustment function, which is substituted into the geological heterogeneity adjustment function to calculate the geological drilling value BDZ; the environmental data are analyzed to obtain the environmental impact adjustment function, which is substituted into the environmental impact adjustment function to calculate the environmental drilling value CDZ; and the physical parameter drilling value ADC, the geological drilling value BDZ and the environmental drilling value CDZ are comprehensively calculated to obtain the drilling difficulty coefficient DDC;

[0008] The intelligent inner wall analysis module is used to analyze the inner wall of the drill after drilling to obtain the inner wall friction coefficient NB1;

[0009] The intelligent tension analysis module is used to predict and analyze the anchor tension to obtain the predicted anchor tension value. ;

[0010] The control execution module is used to obtain the drilling difficulty coefficient DDC and the anchor bolt predicted tension value , drilling length , Anchor rod length and grouting pressure Conduct analysis and control: If the anchor bolt predicts the tension value If the preset tension standard range is not reached, the drilling difficulty coefficient DDC is matched with the preset difficulty range; if the drilling difficulty coefficient DDC belongs to the easy range, the drilling length is increased. and anchor length , and recalculate the predicted anchor tension value Match, if not, increase the grouting pressure , calculate the predicted anchor tension value again , until it falls within the tension standard range; if the drilling difficulty coefficient DDC falls within the difficult range, increase the grouting pressure , recalculate the predicted anchor tension value Match, if not, increase the grouting pressure again , until the predicted tension value of the anchor is calculated Until it falls within the tension standard range; if the grouting pressure is increased After the grouting pressure has reached the maximum value, increase the drilling length and anchor length , and recalculate the predicted anchor tension value , until it falls into the standard tension range.

[0011] As a preferred embodiment of the present invention, the specific process of comprehensively analyzing the physical parameters to obtain the physical parameter drilling value ADC is:

[0012] By establishing the formula: Output the material parameter drilling value ADC, where T1 is the torque value, D1 is the borehole diameter, P1 is the drilling pressure, S1 is the geological hardness, V1 is the drilling speed, W1 is the drill bit wear, and a1, a2, a3, a4 and a5 are their corresponding preset weight factors.

[0013] As a preferred embodiment of the present invention, the specific process of obtaining the geological drilling value BDZ is as follows:

[0014] Obtained through geological exploration, pre-drilling data survey and on-site geological survey; through the established formula: Output geological heterogeneity adjustment function ,in, is the geological hardness of the i-th layer encountered during drilling, n is the total number of layers, is the average value of geological hardness, is the depth position of the i-th layer, H1 is the depth of the current borehole, γ is the influence of the geological layer change on the drilling difficulty, is an exponential function that shows that the change in geological hardness decays with the deviation in depth; the collected data is then substituted into the geological heterogeneity adjustment function The geological drilling value BDZ is calculated in .

[0015] As a preferred embodiment of the present invention, the specific process of obtaining the environmental drilling value CDZ is as follows:

[0016] By establishing the formula: Output environmental impact adjustment function , is the ambient temperature, is the ambient humidity, is the reference temperature, is the reference humidity, is the impact value of temperature deviation on drilling difficulty, b1, b2 and b3 are the corresponding preset weight factors; the collected data is substituted into the environmental impact adjustment function The environmental drilling value CDZ is calculated in.

[0017] As a preferred embodiment of the present invention, the specific process of analyzing the inner wall friction coefficient NB1 of the drill after drilling is as follows:

[0018] The friction force and normal force between the drill bit and the hole wall are obtained through the friction sensor. The friction force and normal direction are obtained through the basic formula of friction coefficient: Output friction coefficient , is the friction force, is the normal force;

[0019] The modified model of friction coefficient is expressed as: Output corrected friction coefficient , is the initial friction coefficient under ideal conditions, α is the coefficient related to the roughness of the hole wall, The average roughness of the hole wall surface, β is the coefficient related to the heterogeneity of the geological layer, Δσ is the hardness variation of the geological layer, is the average geological hardness of the drilling area; the corrected inner wall friction coefficient , as the inner wall friction coefficient NB1.

[0020] As a preferred embodiment of the present invention, the anchor rod tension prediction analysis obtains the anchor rod tension value. The specific process:

[0021] Obtain the inner wall friction coefficient NB1, the inner wall area of ​​the borehole, the borehole length, the grouting pressure and the friction coefficient between the anchor and the grouting to calculate the predicted anchor tension: through the established formula: Output anchor bolt predicted tension value , is the inner wall area of ​​the borehole, is the drilling length, is the friction coefficient between the anchor and the grouting, is the surface area of ​​the anchor, is the anchor length, is the grouting pressure;

[0022] Friction coefficient between anchor and grouting It is based on the principle of adhesion friction and is calculated by the formula: Output friction between anchor and grouting , if the friction force is known , the friction coefficient is calculated by the formula : .

[0023] As a preferred embodiment of the present invention, the specific calculation process of the coefficient α related to the hole wall roughness is:

[0024] Measure a specified area of ​​the hole wall to obtain a series of data points with abscissa x and corresponding height y(x); select a measurement interval L, record the height y(x) of each measurement point in the measurement interval L, that is, the distance from the reference line to the actual surface, and calculate the absolute value of these height deviations |y(x)|, sum up the absolute height deviations |y(x)| of all measurement points, and get their sum; if the interval of the measurement data is Δx, sum up the absolute values ​​of all height deviations and divide them by the total number of measurement points m or the length of the measurement interval L to get the average roughness, and the calculation formula is: , where y(x j ) is the height deviation of the jth measurement point.

[0025] As a preferred embodiment of the present invention, the specific calculation process of the coefficient β related to the heterogeneity of the geological layer is:

[0026] The hardness difference of geological layers is measured and analyzed to quantify the heterogeneity of geological layers. The geological hardness is obtained by standard rock hardness test. The change of geological layer hardness in a certain area is set to Δσ, that is, the hardness difference between two layers. The friction coefficient μ increases with the increase of the hardness difference of geological layers, which is expressed as: ,like Known, then ; Then, the friction coefficient μ of different geological layers during the drilling process is measured, and the regression relationship between the friction coefficient and hardness difference is established to calculate the value of β.

[0027] In a second aspect, the present invention provides an intelligent analysis and control method for an anchor bolter, comprising:

[0028] Step 1: Collect the physical parameters, geological layer characteristic data and environmental data of the bolter during the drilling process, calculate the physical parameter drilling value, geological drilling value and environmental drilling value respectively, and finally combine these values ​​to output the drilling difficulty coefficient;

[0029] Step 2: Analyze the inner wall of the drill hole after drilling, collect data on friction, normal force, surface roughness and geological hardness changes, calculate the basic friction coefficient, and combine the influence of hole wall roughness and geological heterogeneity to correct the inner wall friction coefficient;

[0030] Step 3: Calculate the predicted tension value of the anchor based on the borehole inner wall area, borehole length, grouting pressure, and friction coefficient between the anchor and the grouting;

[0031] Step 4: According to whether the predicted tension value of the anchor rod reaches the standard range, combined with the easy range or difficult range of the drilling difficulty coefficient, dynamically adjust the drilling length, anchor rod length or grouting pressure; if the tension value does not meet the standard, increase the length parameter first; if the difficulty is greater, increase the grouting pressure first until the tension value meets the requirements.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] 1. The present invention monitors various key parameters in the drilling process in real time through an intelligent analysis module, such as the drilling difficulty coefficient, the inner wall friction coefficient and the predicted anchor tension, and can dynamically adjust the drilling length, the anchor length and the grouting pressure to achieve precise control; this intelligent adjustment can not only avoid human errors and reduce unnecessary adjustments and waste of resources during the construction process, but also optimize parameters in time according to the actual construction situation to ensure that the best construction efficiency is achieved in each stage; through this intelligent analysis, the overall construction period can be significantly shortened, and the controllability and adaptability of the project can be improved.

[0034] 2. The present invention adopts an intelligent multi-module collaboration mode, combined with a comprehensive analysis of drilling, inner wall friction, geological layers and environmental factors, to provide real-time feedback on potential risks arising during the construction process; especially in complex geological environments, the system can judge the difficulty of drilling in real time and make corresponding adjustments to ensure that the anchor tension is always maintained within the safe standard range, thereby reducing construction safety hazards caused by insufficient parameters or environmental changes; in addition, by accurately calculating and optimizing construction parameters, the stability of anchoring can be effectively guaranteed, failure or accidents can be avoided, and project quality and construction safety can be ensured, which is especially suitable for high-risk and high-difficulty construction projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0036] Figure 1 It is a principle block diagram of the present invention;

[0037] Figure 2 It is a diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0038] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0039] Example 1

[0040] See also Figure 1 As shown, the present invention provides an intelligent analysis and control system for an anchor bolter, including: an intelligent drilling analysis module, an intelligent inner wall analysis module, an intelligent tension analysis module and a control execution module;

[0041] The intelligent drilling analysis module is used to analyze the drilling data of the bolter during the drilling process, specifically:

[0042] The bolter drilling data is the dynamic data of the bolter during the drilling process, including physical parameters, geological layer characteristic data, environmental data and real-time monitoring data; among which, the physical parameters are collected by sensors or instruments, including but not limited to torque, drilling pressure, drilling speed, drilling diameter and drill bit wear;

[0043] Comprehensive analysis of physical parameters is carried out through the established formula: Output physical parameter drilling value ADC, where T1 is torque value, D1 is borehole diameter, P1 is drilling pressure, S1 is geological hardness, V1 is drilling speed, W1 is drill wear, a1, a2, a3, a4 and a5 are corresponding preset weight factors; ADC is the basic difficulty coefficient calculated according to various physical parameters in the drilling process, which reflects the direct impact of equipment and geological layers on the difficulty in the drilling process;

[0044] Analyze the geological layer characteristic data, which are obtained through geological exploration, pre-drilling data investigation and on-site geological survey; through the established formula: Output geological heterogeneity adjustment function ,in, is the geological hardness of the i-th layer encountered during drilling, is the average value of geological hardness, is the depth position of the i-th layer, H1 is the depth of the current borehole, and γ is the value of the degree of influence of geological layer changes on the difficulty of drilling, which is adjusted by technicians in this field according to actual data. It is an exponential function that the change of geological hardness decays with the deviation of depth. The deeper the geological layer, the smaller the influence on the difficulty coefficient. is the effect of geological layer heterogeneity on drilling difficulty; with the increase of depth, the effect of stratum changes on the difficulty coefficient gradually weakens, but the fluctuation of geological hardness still affects the difficulty of drilling; then substitute the collected data into the geological heterogeneity adjustment function The geological drilling value BDZ is calculated in

[0045] Analyze environmental data, which is collected through environmental sensors, meteorological data and geographic information systems, including ambient temperature, ambient humidity, etc.; through the established formula: Output environmental impact adjustment function ,in, is the ambient temperature, is the ambient humidity, is the reference temperature, usually a standard operating temperature, For reference humidity, usually a standard humidity, is the impact value of temperature deviation on drilling difficulty. The greater the temperature deviation, the more likely it is to affect the performance of the drill bit, resulting in increased drilling difficulty. b1, b2 and b3 are the corresponding preset weight factors. Indicates the adjustment of environmental factors to the difficulty of drilling; higher temperature and humidity may cause equipment overheating, insufficient lubrication or other problems, affecting drilling efficiency; then substitute the collected data into the environmental impact adjustment function The environmental drilling value CDZ is calculated in

[0046] Finally, the physical parameter drilling value ADC, geological drilling value BDZ and environmental drilling value CDZ are calculated comprehensively, and the drilling difficulty coefficient DDC is output through the established formula: DDC=ADC×BDZ×CDZ;

[0047] The intelligent inner wall analysis module is used to analyze the inner wall of the drill after drilling, specifically:

[0048] The friction force and normal force between the drill bit and the hole wall are obtained through the friction sensor. The friction force and normal direction are obtained through the basic formula of friction coefficient: Output friction coefficient , is the friction force, is the normal force; it should be noted that: due to the uneven hole wall and uneven geological layer during drilling, the friction coefficient will change according to these factors; considering the influence of hole wall roughness and geological heterogeneity, the correction model of friction coefficient can be expressed as: Output corrected friction coefficient ,in is the initial friction coefficient under ideal conditions (assuming smooth hole wall and uniform geology), α is a coefficient related to hole wall roughness, controlling the effect of hole wall roughness on friction coefficient, The average roughness of the hole wall surface, β is a coefficient related to the inhomogeneity of the geological layer, controlling the effect of the hardness difference of the geological layer on the friction coefficient, Δσ is the hardness change of the geological layer, indicating the hardness difference between different geological layers, is the average geological hardness of the drilling area;

[0049] The calculation of α depends on many factors, especially the material properties of the hole wall, the change in roughness, and the characteristics of the drill bit. According to classical tribology theory, the greater the surface roughness, the more microscopic protrusions and depressions in contact, and the greater the friction; α quantifies this increase effect; its theoretical relationship can be expressed as: , is the average roughness of the hole wall surface; if Known, then , The specific calculation process of the average roughness of the hole wall surface is as follows: First, the surface profile data of the hole wall needs to be obtained through a measuring instrument (such as a laser scanner, surface profiler, etc.); a specified area of ​​the hole wall is measured to obtain a series of data points with abscissa x and corresponding height y (x); a suitable measurement interval L is selected, and for each measurement point in the measurement interval L, its height y (x) is recorded, that is, the distance from the reference line (such as the theoretical plane of the hole wall) to the actual surface, and the absolute value of these height deviations |y (x)| is calculated, and the absolute height deviations |y (x)| of all measurement points are summed to obtain their sum; if the interval of the measurement data is Δx, the absolute values ​​of all height deviations are summed and then divided by the total number of measurement points m or the length of the measurement interval L to obtain the average roughness. The calculation formula is: , where y(x j ) is the height deviation of the jth measurement point;

[0050] The calculation process of β is as follows: the hardness difference of geological layers is measured and analyzed to quantify the heterogeneity of geological layers; the geological hardness is obtained through standard rock hardness tests (such as compression strength, shear strength, etc.); the change in the hardness of the geological layers in a certain area is set to Δσ, that is, the hardness difference between two layers; and the friction coefficient μ increases with the increase of the hardness difference of the geological layers (that is, hard layers will increase friction, and soft layers will reduce friction), expressed as: ,like Known, then In practical applications, it is necessary to rely on experimental data, especially the relationship between the change in friction coefficient during drilling and the difference in geological hardness; by measuring the friction coefficient μ of different geological layers during drilling, the regression relationship between the friction coefficient and hardness difference is established, and the value of β is calculated; the corrected inner wall friction coefficient , as the inner wall friction coefficient NB1;

[0051] The intelligent tension analysis module is used to predict and analyze the tension of anchor bolts, specifically:

[0052] The inner wall friction coefficient NB1, the inner wall area of ​​the borehole, the borehole length, the grouting pressure and the friction coefficient between the anchor and the grouting are obtained to calculate the predicted anchor tension. The process is: through the established formula: Output anchor bolt predicted tension value ,in, is the inner wall area of ​​the borehole, is the drilling length, is the friction coefficient between the anchor and the grouting, is the surface area of ​​the anchor, is the anchor length, is the grouting pressure;

[0053] Among them, the friction coefficient between the anchor and the grouting It is based on the principle of adhesion friction and is calculated by the formula: Output friction between anchor and grouting , if the friction force is known , the friction coefficient is calculated by the formula : ; It should be noted that: since the friction coefficient between the anchor rod and the grouting is affected by many factors, the most accurate way is usually to determine it through model experiments; in the model test, the friction coefficient is calculated by measuring the friction force under a specific grouting pressure; a surface-treated anchor rod is fixed in the testing machine, the grouting material is injected, and a certain grouting pressure is adjusted. , gradually load the pressure and measure the friction , record the friction force under different grouting pressures, and finally use the formula Calculate the friction coefficient at different pressures;

[0054] The control execution module is used to obtain the drilling difficulty coefficient DDC and the anchor bolt predicted tension value , drilling length , Anchor rod length and grouting pressure Conduct analytical control, specifically:

[0055] If the anchor bolt tension value is predicted If the preset tension standard range is not reached, the drilling difficulty coefficient DDC is matched with the preset difficulty range. The preset difficulty range includes the easy range and the difficult range. If the drilling difficulty coefficient DDC belongs to the easy range, the drilling length is increased. and anchor length , and recalculate the predicted anchor tension value If the predicted anchor tension value is recalculated If it still does not fall within the standard tension range, then increase the grouting pressure appropriately. , and recalculate the predicted anchor tension value , until the predicted tension value of the anchor is calculated If the drilling difficulty coefficient DDC is in the difficult range, increase the grouting pressure. , recalculate the predicted anchor tension value If the predicted anchor tension value is recalculated If it still does not fall within the tension standard range, increase the grouting pressure again. , until the predicted tension value of the anchor is calculated Until it falls within the tension standard range; if the grouting pressure is increased After the grouting pressure has reached the maximum value, increase the drilling length and anchor length , and recalculate the predicted anchor tension value , until the predicted tension value of the anchor is calculated It belongs to the standard tension range.

[0056] Example 2

[0057] See also Figure 2 As shown, the present invention further provides an intelligent analysis and control method for an anchor bolt machine, comprising:

[0058] Step 1: Collect the physical parameters, geological layer characteristic data and environmental data of the bolter during the drilling process, and calculate the physical parameter drilling value ADC, geological drilling value BDZ and environmental drilling value CDZ respectively; the physical parameter drilling value reflects the direct impact of the equipment and geological layer on the difficulty during the drilling process; the geological drilling value quantifies the comprehensive impact of the hardness and depth of the geological layer through the geological heterogeneity adjustment function; the environmental drilling value evaluates the interference of temperature and humidity on the drilling efficiency through the environmental impact adjustment function; finally, these values ​​are combined to output the drilling difficulty coefficient DDC;

[0059] Step 2: Analyze the inner wall of the drill hole after drilling, collect data such as friction, normal force, surface roughness and geological hardness change, calculate the basic friction coefficient, and combine the influence of hole wall roughness and geological heterogeneity to correct the inner wall friction coefficient NB1. By measuring the average value of hole wall surface roughness and the hardness difference of geological layer, further quantify the roughness coefficient α and heterogeneity coefficient β;

[0060] Step 3: Based on the borehole inner wall area, borehole length, grouting pressure and the friction coefficient between the anchor and the grouting, calculate the predicted tension value of the anchor, and accurately analyze the effect of grouting pressure on the friction coefficient through the bond friction theory; combined with experimental data, verify whether the predicted tension value of the anchor reaches the tension standard range;

[0061] Step 4: According to whether the predicted tension value of the anchor rod reaches the standard range, combined with the easy or difficult range of the drilling difficulty coefficient DDC, dynamically adjust the drilling length, anchor rod length or grouting pressure; if the tension value does not meet the standard, increase the length parameter first; if the difficulty is greater, increase the grouting pressure first until the tension value meets the requirements.

[0062] 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 content 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 those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent analysis and control system for an anchor bolter, comprising an intelligent drilling analysis module, an intelligent inner wall analysis module, an intelligent tension analysis module and a control execution module, characterized in that: The intelligent drilling analysis module is used to analyze the drilling data of the bolter during the drilling process: the bolter drilling data includes physical parameters, geological layer characteristic data and environmental data; the physical parameters are comprehensively analyzed to obtain the physical parameter drilling value; the geological layer characteristic data are analyzed to obtain the geological heterogeneity adjustment function, which is substituted into the geological heterogeneity adjustment function to calculate the geological drilling value; the environmental data are analyzed to obtain the environmental impact adjustment function, which is substituted into the environmental impact adjustment function to calculate the environmental drilling value; and the physical parameter drilling value, the geological drilling value and the environmental drilling value are comprehensively calculated to obtain the drilling difficulty coefficient DDC; The intelligent inner wall analysis module is used to analyze the inner wall of the drill after drilling to obtain the inner wall friction coefficient; The intelligent tension analysis module is used to predict and analyze the anchor tension to obtain the predicted anchor tension value. ; The control execution module is used to obtain the drilling difficulty coefficient DDC and the anchor bolt predicted tension value , drilling length , Anchor rod length and grouting pressure Conduct analysis and control: If the anchor bolt predicts the tension value If the preset tension standard range is not reached, the drilling difficulty coefficient DDC is matched with the preset difficulty range; if the drilling difficulty coefficient DDC belongs to the easy range, the drilling length is increased. and anchor length , and recalculate the predicted anchor tension value Match, if not, increase the grouting pressure , calculate the predicted anchor tension value again , until it falls within the tension standard range; If the drilling difficulty coefficient DDC is in the difficult range, increase the grouting pressure , recalculate the predicted anchor tension value Match, if not, increase the grouting pressure again , until the predicted tension value of the anchor is calculated Until it falls within the tension standard range; if the grouting pressure is increased After the grouting pressure has reached the maximum value, increase the drilling length and anchor length , and recalculate the predicted anchor tension value , until it falls into the standard tension range.

2. The intelligent analysis and control system for an anchor bolter according to claim 1, characterized in that: The specific process of comprehensively analyzing the physical parameters to obtain the physical parameter drilling value ADC is as follows: By establishing the formula: Output the material parameter drilling value ADC, where T1 is the torque value, D1 is the borehole diameter, P1 is the drilling pressure, S1 is the geological hardness, V1 is the drilling speed, W1 is the drill bit wear, and a1, a2, a3, a4 and a5 are their corresponding preset weight factors.

3. The intelligent analysis and control system for an anchor bolter according to claim 2, characterized in that: The specific process of obtaining the geological drilling value BDZ is as follows: Obtained through geological exploration, pre-drilling data survey and on-site geological survey; through the established formula: Output geological heterogeneity adjustment function ,in, is the geological hardness of the i-th layer encountered during drilling, n is the total number of layers, is the average value of geological hardness, is the depth position of the i-th layer, H1 is the depth of the current borehole, γ is the influence of the geological layer change on the drilling difficulty, is an exponential function that shows that the change in geological hardness decays with the deviation in depth; the collected data is then substituted into the geological heterogeneity adjustment function The geological drilling value BDZ is calculated in .

4. The intelligent analysis and control system for an anchor bolter according to claim 3 is characterized in that: The specific process of obtaining the environmental drilling value CDZ is as follows: By establishing the formula: Output environmental impact adjustment function , is the ambient temperature, is the ambient humidity, is the reference temperature, is the reference humidity, is the impact value of temperature deviation on drilling difficulty, b1, b2 and b3 are the corresponding preset weight factors; the collected data is substituted into the environmental impact adjustment function The environmental drilling value CDZ is calculated in .

5. The intelligent analysis and control system for an anchor bolter according to claim 1, characterized in that: The specific process of analyzing the inner wall friction coefficient NB1 of the drill after drilling is as follows: The friction force and normal force between the drill bit and the hole wall are obtained through the friction sensor. The friction force and normal direction are obtained through the basic formula of friction coefficient: Output friction coefficient , is the friction force, is the normal force; The modified model of friction coefficient is expressed as: Output corrected friction coefficient , is the initial friction coefficient under ideal conditions, α is the coefficient related to the roughness of the hole wall, The average roughness of the hole wall surface, β is the coefficient related to the heterogeneity of the geological layer, Δσ is the hardness variation of the geological layer, is the average geological hardness of the drilling area; the corrected inner wall friction coefficient , as the inner wall friction coefficient NB1.

6. The intelligent analysis and control system for an anchor bolter according to claim 1, characterized in that: The anchor rod tension prediction analysis obtains the anchor rod tension prediction value The specific process: Obtain the inner wall friction coefficient NB1, the inner wall area of ​​the borehole, the borehole length, the grouting pressure and the friction coefficient between the anchor and the grouting to calculate the predicted anchor tension: through the established formula: Output anchor bolt predicted tension value , is the inner wall area of ​​the borehole, is the drilling length, is the friction coefficient between the anchor and the grouting, is the surface area of ​​the anchor, is the anchor length, is the grouting pressure; Friction coefficient between anchor and grouting It is based on the principle of adhesion friction and is calculated by the formula: Output friction between anchor and grouting , if the friction force is known , the friction coefficient is calculated by the formula : .

7. The intelligent analysis and control system for an anchor bolter according to claim 5, characterized in that: The specific calculation process of the coefficient α related to the hole wall roughness is: Measure a specified area of ​​the hole wall to obtain a series of data points with abscissa x and corresponding height y(x); select a measurement interval L, record the height y(x) of each measurement point in the measurement interval L, that is, the distance from the reference line to the actual surface, and calculate the absolute value of these height deviations |y(x)|, sum up the absolute height deviations |y(x)| of all measurement points, and get their sum; if the interval of the measurement data is Δx, sum up the absolute values ​​of all height deviations and divide them by the total number of measurement points m or the length of the measurement interval L to get the average roughness, and the calculation formula is: , where y(x j ) is the height deviation of the jth measurement point.

8. The intelligent analysis and control system for an anchor bolter according to claim 7, characterized in that: The specific calculation process of the coefficient β related to the heterogeneity of the geological layer is: The hardness difference of geological layers is measured and analyzed to quantify the heterogeneity of geological layers. The geological hardness is obtained by standard rock hardness test. The change of geological layer hardness in a certain area is set to Δσ, that is, the hardness difference between two layers. The friction coefficient μ increases with the increase of the hardness difference of geological layers, which is expressed as: ,like Known, then ; Then, the friction coefficient μ of different geological layers during the drilling process is measured, and the regression relationship between the friction coefficient and hardness difference is established to calculate the value of β.

9. An intelligent analysis and control method for an anchor bolt machine, characterized in that: Applied to realize any one of claims 1-8 of the bolter intelligent analysis and control system, the method comprises: Step 1: Collect the physical parameters, geological layer characteristic data and environmental data of the bolter during the drilling process, calculate the physical parameter drilling value, geological drilling value and environmental drilling value respectively, and finally combine these values ​​to output the drilling difficulty coefficient; Step 2: Analyze the inner wall of the drill hole after drilling, collect data on friction, normal force, surface roughness and geological hardness changes, calculate the basic friction coefficient, and combine the influence of hole wall roughness and geological heterogeneity to correct the inner wall friction coefficient; Step 3: Calculate the predicted tension value of the anchor based on the borehole inner wall area, borehole length, grouting pressure, and friction coefficient between the anchor and the grouting; Step 4: According to whether the predicted tension value of the anchor rod reaches the standard range, combined with the easy range or difficult range of the drilling difficulty coefficient, dynamically adjust the drilling length, anchor rod length or grouting pressure; if the tension value does not meet the standard, increase the length parameter first; if the difficulty is greater, increase the grouting pressure first until the tension value meets the requirements.

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