Cast-in-place concrete pile intelligent detection device and method based on core drilling method

Abstract

The invention relates to the technical field of engineering detection, and particularly discloses an intelligent detection device and method for a cast-in-place concrete pile based on a core drilling method.The method comprises the steps that a preset core drilling position and core sample layer data of the preset core drilling position are obtained, and drilling machine working data and core sample layer characteristic data in the drilling process of a drilling machine are monitored; processing the core sample layer texture data to obtain a core sample layer density evaluation index, processing the core sample layer density evaluation index and the drilling machine working data, and performing comprehensive analysis to obtain a drilling machine core drilling position accuracy evaluation value; and evaluating the drilling core position of the drilling machine according to the accuracy evaluation value of the drilling core position of the drilling machine. According to the intelligent detection device and method for the cast-in-place concrete pile based on the core drilling method, a scientific basis can be provided for formulating a core drilling scheme, the underground rock structure, lithology distribution and the distribution condition of mineral resources can be accurately known, and the intelligent detection device and method have important significance on the precision and accuracy of geological exploration.

Description

Technical Field

[0001] The invention relates to the technical field of engineering detection, and in particular to an intelligent detection device and method for concrete bored piles based on a core drilling method. Background Art

[0002] At present, intelligent detection of bored concrete piles is a very important part of the field of engineering detection technology. With the advancement of artificial intelligence and the development of automation, providing comprehensive and accurate intelligent detection of bored concrete piles has become the norm. Efficient and accurate intelligent detection methods for bored concrete piles are of great significance to improving detection efficiency and promoting technological innovation.

[0003] For example, the invention patent with publication number CN113835122A is a method for determining the side position of a pile by using the reflection wave method of a pile side hole, which includes the following steps: (1) arranging a number of detection holes on the outside of the pile body to be detected, setting an inclinometer in each detection hole and inserting an inclinometer to measure the inclinometer and calculate the actual spatial position coordinates of each elevation point; (2) transmitting and receiving seismic waves between two detection holes to obtain the longitudinal wave velocity value of the rock and soil layer between the holes; (3) transmitting elastic reflection waves to the pile body to be detected in the detection hole, and calculating the change relationship of the horizontal distance between the side wall of the pile body and the detection hole along the depth by combining the travel time of the elastic reflection wave from transmission to reception with the longitudinal wave velocity value of the rock and soil layer between the holes, and inferring the pile side boundary coordinates of the pile body with the actual spatial position coordinates of each elevation point in the detection hole.

[0004] For example, the invention patent with the announcement number CN111158043B is a system and method for detecting hidden dangers at the bottom of bored cast-in-place piles. A system for detecting hidden dangers at the bottom of bored cast-in-place piles includes: a seismic recorder and a first vibration sensor device; the first vibration sensor device is buried in the rock and soil medium outside the pile hole or in the mud wall protection liquid of the pile hole, and is used to detect background vibration signals and transmit the background vibration signals to the seismic recorder; the seismic recorder includes: an acquisition trigger device, a preconditioner, an analog-to-digital converter, a central processing unit, a display, and a memory.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it was found that the above technology has at least the following technical problems: the current intelligent detection method for concrete bored piles focuses more on using manual judgment of the core sample layer situation, but this will cause large errors in the division of the core sample layer, especially in areas with rich crack development, where the boundary point of the core sample layer is difficult to confirm. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an intelligent detection device and method for bored concrete piles based on a core drilling method, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides an intelligent detection method for bored concrete piles based on the core drilling method, including: obtaining a preset core drilling position of the bored concrete pile and core sample layer data of the preset core drilling position, and monitoring the drilling rig working data and core sample layer characteristic data during the drilling process of the drilling rig, wherein the core sample layer characteristic data includes core sample layer texture data and core sample layer RGB value.

[0008] The core sample layer texture data is processed to obtain the core sample layer density assessment index. The core sample layer density assessment index and the drilling rig working data are processed to obtain the core sample layer strength assessment index and the core sample layer RGB value. Combined with the core sample layer data of the preset core drilling position, a comprehensive analysis is performed to obtain the drilling rig core position accuracy assessment value.

[0009] The drill core position is evaluated according to the drill core position accuracy evaluation value. If the evaluation result is qualified, the drilling operation is terminated. If the evaluation result is unqualified, the drill core sample layer is analyzed and feedback is given.

[0010] As a further method, the core sample layer texture data is processed to obtain the core sample layer density assessment index, and the specific processing process is: the core sample layer texture data includes the average particle size of mineral particles, porosity and water content.

[0011] The critical average particle size of mineral particles, critical porosity and critical water content were extracted from the geological drilling rig database, and the core layer density evaluation index was obtained through comprehensive analysis.

[0012] As a further method, the core sample layer density assessment index and the drilling rig working data are processed to obtain the core sample layer strength assessment index. The specific processing process is: the drilling rig working data includes the drill pipe rotation speed, the drill pipe footage speed and the drilling pressure.

[0013] The critical drill pipe rotation speed, critical drill pipe footage speed and critical drilling pressure were extracted from the geological drilling rig database, and combined with the core sample layer density assessment index, the core sample layer strength assessment index was obtained through comprehensive analysis.

[0014] As a further method, the comprehensive analysis obtains the drilling rig core position accuracy assessment value, and the specific analysis process is: the core sample layer data of the preset core position includes the reference standard core sample layer strength assessment index, the reference standard RGB value and the reference standard core sample layer density assessment index.

[0015] The allowable deviation core sample layer strength assessment index, allowable deviation core sample layer density assessment index and allowable deviation color channel intensity value are extracted from the geological drilling rig database. Based on the core sample layer strength assessment index, core sample layer density assessment index and core sample layer RGB value, and combined with the core sample layer data of the preset core position, a comprehensive analysis is performed to obtain the drilling rig core position accuracy assessment value.

[0016] As a further method, the drill core position is evaluated according to the drill core position accuracy evaluation value. The specific evaluation process is: extracting the drill core position accuracy evaluation threshold from the geological drill rig database, comparing the drill core position accuracy evaluation value with the drill core position accuracy evaluation threshold, if the drill core position accuracy evaluation value is greater than or equal to the drill core position accuracy evaluation threshold, terminating the drilling operation, if the drill core position accuracy evaluation value is less than the drill core position accuracy evaluation threshold, analyzing the drill core sample layer and providing feedback.

[0017] As a further method, the analysis of the core sample layer of the drilling rig core is specifically carried out as follows: the current core sample layer strength evaluation index, the core sample layer density evaluation index and the RGB value are processed to obtain the core similarity of each core sample layer, and the core sample layers are sorted from large to small according to the core similarity of each core sample layer, and the core sample layer with the largest core sample layer similarity is marked as the current core sample layer.

[0018] As a further method, the processing obtains the core similarity of each core sample layer. The specific processing process is: obtaining the core sample layer data of each core sample layer, including the strength evaluation index of each core sample layer, the RGB value of each core sample layer, and the density evaluation index of each core sample layer, and based on the core sample layer strength evaluation index, core sample layer density evaluation index and core sample layer RGB value of the current drilling core sample layer, a comprehensive analysis is performed to obtain the core similarity of each core sample layer.

[0019] As a further method, the analysis of the drill core sample layer and feedback also includes: obtaining a rock and soil stratification map from a geological drill rig database, extracting the relative distance between the current drill core sample layer and the preset drill core position, matching the drill rig operation time according to the relative distance between the current drill core sample layer and the preset drill core position and the current drill core drill rod footage speed, and controlling the drill rig according to the drill rig operation time.

[0020] As a further method, the drill core position accuracy evaluation value of the drill rig is specifically expressed as:

[0021]

[0022] Where Ac represents the drilling rig core position accuracy assessment value, Q represents the core sample layer strength assessment index, Q0 represents the reference standard core sample layer strength assessment index, ΔQ represents the allowable deviation core sample layer strength assessment index, M represents the core sample layer density assessment index, M0 represents the reference standard core sample layer density assessment index, ΔM represents the allowable deviation core sample layer density assessment index, C i Represents the intensity value of the i-th color channel, C i0represents the reference standard intensity value of the i-th color channel, ΔC represents the allowable deviation color channel intensity value, θ1 represents the drilling rig core position accuracy assessment impact factor corresponding to the set core sample layer strength assessment index, θ2 represents the drilling rig core position accuracy assessment impact factor corresponding to the set core sample layer density assessment index, θ3 represents the drilling rig core position accuracy assessment impact factor corresponding to the set color channel intensity value, i represents the number of each color channel, i=1,2,3, representing the red, blue and green color channels respectively.

[0023] The second aspect of the present invention provides an intelligent detection device for concrete bored piles based on the core drilling method, comprising: a processor and a memory and a network interface connected to the processor; the network interface is connected to a non-volatile memory in a server; when the processor is running, it retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to execute any one of the above methods.

[0024] The geological drilling rig database is used to store geological drilling rig related data, including critical mineral particle average particle size, critical porosity, critical water content, core sample layer density assessment influencing factor corresponding to the set mineral particle average particle size, core sample layer density assessment influencing factor corresponding to the set porosity, core sample layer density assessment influencing factor corresponding to the set water content, critical drill pipe rotation speed, critical drill pipe footage speed, critical drilling pressure, core sample layer density assessment influencing factor corresponding to the set mineral particle average particle size, core sample layer density assessment influencing factor corresponding to the set porosity, core sample layer density assessment influencing factor corresponding to the set water content, reference standard core sample layer strength assessment index, reference standard RGB value, reference standard core sample layer density assessment index, allowable deviation core sample layer strength assessment index, allowable deviation core sample layer density assessment index, allowable deviation color channel value and drilling rig core position accuracy assessment threshold and other indicators.

[0025] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0026] (1) The present invention provides an intelligent detection device and method for bored concrete piles based on the core drilling method, which can provide a scientific basis for the formulation of the core drilling plan and optimize the core drilling layout according to the evaluation results to avoid unnecessary repeated core drilling and waste, which helps to accurately understand the underground rock structure, lithology distribution and distribution of mineral resources, and is of great significance to the precision and accuracy of geological exploration.

[0027] (2) The present invention can predict the formation changes that may be encountered during the drilling process by evaluating the core sample layer density assessment index, which helps to take corresponding preventive measures in advance to ensure the safety of the core drilling project. It also helps to avoid the risks of equipment damage, formation collapse, etc. caused by inaccurate depth judgment during the drilling process. A more reasonable core drilling plan can be formulated to avoid unnecessary drilling operations and loss of core drilling equipment.

[0028] (3) The present invention can ensure the safety and efficiency of drilling operations by considering the drill pipe rotation speed, drill pipe penetration speed, core sample layer density evaluation index and drilling pressure, and can also formulate a more reasonable construction plan, which is helpful to predict the stability of the formation during the core drilling or excavation process, and at the same time reflect the mechanical properties and deformation characteristics of the core sample layer, thereby helping geological prospectors understand the distribution law of geological structures and formations, and providing a basis for subsequent engineering design and construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0030] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0031] Figure 2 It is a schematic diagram of the functional relationship between the drill core position accuracy evaluation value and the color channel intensity value of the present invention. DETAILED DESCRIPTION

[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0033] Reference Figure 1 As shown, the first aspect of the present invention provides an intelligent detection method for bored concrete piles based on the core drilling method, including: obtaining a preset core drilling position of the bored concrete pile and core sample layer data of the preset core drilling position, and monitoring the drilling rig working data and core sample layer characteristic data during the drilling process of the drilling rig, wherein the core sample layer characteristic data includes core sample layer texture data and core sample layer RGB value.

[0034] The core sample layer texture data is processed to obtain the core sample layer density assessment index. The core sample layer density assessment index and the drilling rig working data are processed to obtain the core sample layer strength assessment index and the core sample layer RGB value. Combined with the core sample layer data of the preset core drilling position, a comprehensive analysis is performed to obtain the drilling rig core position accuracy assessment value.

[0035] The drill core position is evaluated according to the drill core position accuracy evaluation value. If the evaluation result is qualified, the drilling operation is terminated. If the evaluation result is unqualified, the drill core sample layer is analyzed and feedback is given.

[0036] Specifically, the core sample layer texture data is processed to obtain the core sample layer density assessment index, and the specific processing process is: the core sample layer texture data includes the average particle size of mineral particles, porosity ratio and water content.

[0037] The critical average particle size of mineral particles, critical porosity and critical water content were extracted from the geological drilling rig database, and the core layer density evaluation index was obtained through comprehensive analysis.

[0038] In a specific embodiment, the average particle size of mineral particles can be obtained by a laser particle size analyzer. The porosity refers to the ratio of the pore volume in the soil to the volume of its solid particles. The porosity can be directly measured by a CT scanner and then calculated by porosity / (1-porosity). The moisture content can be measured by a moisture sensor. Within a certain moisture content range, as the moisture content decreases, the moisture between soil particles is discharged, and the compaction force between soil particles increases, resulting in an increase in soil density. However, when the moisture content drops to a certain critical value, that is, below the critical minimum moisture content, the soil will experience problems such as cracking and compaction, thereby destroying the structure of the soil, and the soil structure becomes loose. At this time, the soil density may decrease as the moisture content further decreases. The critical maximum moisture content refers to the maximum moisture content that the soil can accommodate under specific conditions. If this content is exceeded, the properties of the soil will change significantly, such as increased fluidity and reduced strength.

[0039] Specifically, the core sample layer density evaluation index, the specific numerical expression is:

[0040]

[0041] Among them, M represents the core layer density assessment index, e represents the natural constant, L represents the average particle size of mineral particles, L0 represents the set critical average particle size of mineral particles, k represents the porosity, k0 represents the set critical porosity, w represents the water content, w0 represents the set critical maximum water content, w1 represents the set critical minimum water content, ρ1 represents the core layer density assessment influencing factor corresponding to the set average particle size of mineral particles, ρ2 represents the core layer density assessment influencing factor corresponding to the set porosity, and ρ3 represents the core layer density assessment influencing factor corresponding to the set water content.

[0042] The algorithm of this embodiment combines the average particle size, porosity and water content of the mineral particles in the core sample layer, and comprehensively analyzes to obtain the density evaluation index of the core sample layer. The smaller the average particle size of the mineral particles, the larger the contact area between the particles, the more complex the pore structure formed, and the larger the porosity. At the same time, the pores formed by small-size particles are often more connected, which is conducive to the penetration of water and gas; small-size particles such as clay particles have a larger specific surface area and adsorption capacity, can absorb more water and maintain a higher water content; and the larger the porosity, the larger the pore volume in the soil, and the more water that can be stored. Comprehensive analysis can obtain a more comprehensive, accurate and in-depth core sample density evaluation index.

[0043] It should be explained that three key factors, namely, the average particle size of mineral particles, porosity and water content, are considered in this embodiment, which can more comprehensively reflect the structure, compactness and water state of the core sample layer, thereby improving the accuracy of the core sample layer density assessment, reducing the error caused by the change of a single factor, and formulating targeted soil improvement measures. For example, for core samples with excessive density and poor air permeability, their physical properties can be improved by increasing organic matter, adjusting the particle size ratio or improving the pore structure. At the same time, it helps to more accurately predict the bearing capacity and stability of the foundation, provide a scientific basis for engineering design and construction, reveal the physical properties of the soil and the law of water movement, and provide new ideas and methods for soil management and utilization. By standardizing the average particle size, porosity and water content of the mineral particles in the core sample layer, ensuring that they are compared at the same order of magnitude, the fairness and comparability of the assessment are improved. At the same time, the setting of L0, k0 and w0 helps to avoid the risk of core drilling caused by excessively high average particle size, porosity and water content of the mineral particles. By weighting the influence of the average particle size, porosity and water content of mineral particles, their relative importance in the evaluation index is reflected. The weights of different factors can be adjusted according to different needs, making the formula highly adaptable. It is not difficult to see that when the average particle size or porosity of mineral particles is larger, the core sample layer density evaluation index is smaller. When the water content is lower than its minimum threshold, the larger the water content, the larger the core sample layer density evaluation index. When the water content is higher than its minimum threshold, the larger the water content, the smaller the core sample layer density evaluation index. By evaluating the core sample layer density evaluation index, it is possible to predict the formation changes that may be encountered during the drilling process, such as formation fractures, landslides and other potential risks, which helps to take corresponding preventive measures in advance to ensure the safety of the drilling project. At the same time, it helps to avoid the risks of equipment damage and formation collapse caused by inaccurate depth judgment during the drilling process. A more reasonable drilling plan can be formulated to avoid unnecessary drilling operations and loss of core drilling equipment.

[0044] It should be understood that, in this embodiment, ρ1 is the core sample layer density assessment influencing factor corresponding to the average mineral particle size preset in the geological drilling rig database, which represents the numerical value of the influence degree of the average mineral particle size on the core sample layer density assessment index. When in use, the core sample layer density assessment influencing factor corresponding to the average mineral particle size can be directly obtained from the geological drilling rig database, and the corresponding relationship can be a pre-set mapping relationship. For example, the average mineral particle size of the core sample layer and the core sample layer density assessment influencing factor corresponding to the average mineral particle size preset in the geological drilling rig database form a mapping set, and the real-time average mineral particle size is input into the mapping set to obtain the core sample layer density assessment influencing factor corresponding to the average mineral particle size. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is between 0 and 1; ρ2 is the core sample layer density assessment influencing factor corresponding to the porosity ratio preset in the geological drilling rig database, which represents the numerical value of the influence degree of the porosity ratio on the core sample layer density assessment index. When in use, the core sample layer density assessment influencing factor corresponding to the porosity ratio can be directly obtained from the geological drilling rig database. Factor, the corresponding relationship can be a preset mapping relationship, for example, the porosity of the core sample layer and the core sample layer density assessment influencing factor corresponding to the porosity preset in the geological drilling rig database form a mapping set, and the real-time porosity is input into the mapping set to obtain the core sample layer density assessment influencing factor corresponding to the porosity, wherein the mapping relationship can be one-to-one or many-to-one, and its value range in this example is between 0 and 1; ρ3 is the core sample layer density assessment influencing factor corresponding to the water content preset in the geological drilling rig database, which represents the numerical value of the influence degree of the water content on the core sample layer density assessment index. When used, the core sample layer density assessment influencing factor corresponding to the water content can be directly obtained from the geological drilling rig database, and its corresponding relationship can be a preset mapping relationship, for example, the water content of the core sample layer and the core sample layer density assessment influencing factor corresponding to the water content preset in the geological drilling rig database form a mapping set, and the real-time water content is input into the mapping set to obtain the core sample layer density assessment influencing factor corresponding to the water content, wherein the mapping relationship can be one-to-one or many-to-one, and its value range in this example is between 0 and 1.

[0045] It should be explained that the core sample layer density assessment index in this embodiment is a quantitative indicator obtained by analyzing the average particle size, porosity and water content of the mineral particles in the core sample layer, and is used to quantify the density of the core sample layer.

[0046] Specifically, the core sample layer density evaluation index and the drilling rig working data are processed to obtain the core sample layer strength evaluation index. The specific processing process is: the drilling rig working data includes the drill pipe rotation speed, the drill pipe footage speed and the drilling pressure.

[0047] The critical drill pipe rotation speed, critical drill pipe footage speed and critical drilling pressure were extracted from the geological drilling rig database, and combined with the core sample layer density assessment index, the core sample layer strength assessment index was obtained through comprehensive analysis.

[0048] In a specific embodiment, the drill pipe rotation speed refers to the rotation speed at which the drilling rig rotates the drill pipe to reach a preset position for drilling. The rotation speed reflects the rotation speed of the drill bit in the core sample layer. When the core sample layer is strong, a higher rotation speed is required to provide sufficient crushing; the drill pipe footage speed refers to the footage drilled by the drilling rig per unit drilling time. The footage speed directly reflects the drilling efficiency of the drill bit in the core sample layer. Under the same drilling pressure, if the strength of the core sample layer is low, the drill bit will be more likely to penetrate the core sample layer, and the footage speed will increase accordingly; drilling pressure refers to when drilling normally, the drill string is lowered and the gravity of part of the drill string is added to the drill bit as drilling pressure, which determines the ability of the drill bit to crush the core sample layer. During the drilling process, if the strength of the core sample layer is high, a greater drilling pressure needs to be applied to overcome the resistance of the core sample layer; the drill pipe rotation speed and drill pipe penetration speed can be obtained through the drilling speed sensor, and the drilling pressure can be obtained through the drilling pressure sensor. The drill bit parameters are used to evaluate the strength of the core sample layer. This is mainly based on the principle of interaction between the drill bit and the core sample layer. During the drilling process, the drill bit is affected by the drilling pressure and breaks and penetrates the core sample layer through rotation and penetration. The strength characteristics of the core sample layer will directly affect the drilling efficiency and difficulty of the drill bit.

[0049] Specifically, the core sample layer strength evaluation index, the specific numerical expression is:

[0050]

[0051] Among them, Q represents the core sample layer strength assessment index, zV represents the drill pipe rotation speed, zV0 represents the set critical drill pipe rotation speed, gV represents the drill pipe footage speed, gV0 represents the set critical drill pipe footage speed, y represents the drilling pressure, y0 represents the set critical drilling pressure, M represents the core sample layer density assessment index, ω1 represents the core sample layer strength assessment influencing factor corresponding to the set drill pipe rotation speed, ω2 represents the core sample layer strength assessment influencing factor corresponding to the set drill pipe footage speed, ω3 represents the core sample layer strength assessment influencing factor corresponding to the set drilling pressure, and ω4 represents the core sample layer strength assessment influencing factor corresponding to the set core sample layer density assessment index.

[0052] The algorithm of this embodiment combines the drill pipe rotation speed, the drill pipe footage speed, the core sample layer density assessment index and the drilling pressure, and comprehensively analyzes to obtain the core sample layer strength assessment index. Within a certain range, the increase of the drill pipe rotation speed will promote the improvement of the drill pipe footage speed. When the drilling thrust is constant, the footage speed increases linearly with the increase of the rotation speed, and the slope of the footage speed-rotation speed curve increases slightly with the increase of the rotation speed, indicating that under relatively stable drilling conditions, increasing the drill pipe rotation speed can speed up the drilling speed and improve the drilling efficiency; the drill pipe footage speed increases with the increase of the drilling pressure. During the drilling process, applying appropriate drilling pressure can break the rock and increase the drilling speed. When the drilling thrust is constant, the drilling speed increases exponentially with the increase of drilling thrust. As a part of the drilling thrust, drilling pressure has a significant impact on the drilling speed. There is a mutual influence between the drill pipe rotation speed and drilling pressure. During the drilling process, appropriate drilling pressure can improve the crushing ability of the drill bit, and appropriate rotation speed can accelerate the cutting action of the drill bit. When the drilling pressure is constant, increasing the rotation speed can increase the drilling speed. Similarly, when the rotation speed is constant, increasing the drilling pressure can also increase the drilling speed. Generally speaking, the greater the density of the core sample layer, the greater the drilling difficulty, and the drill pipe penetration speed will also decrease accordingly, because the high-density core sample layer requires greater drilling pressure and longer drilling time to break, thereby reducing the drilling efficiency. The core sample layer density evaluation index is not only related to the drill pipe penetration speed, but also related to the drill pipe rotation speed and drilling pressure. In the drilling operation, it is necessary to select the appropriate drill pipe rotation speed and drilling pressure according to the core sample layer density evaluation index. For high-density core sample layers, a lower rotation speed and a higher drilling pressure need to be selected to ensure drilling efficiency; while for low-density core sample layers, a higher rotation speed and a lower drilling pressure can be selected to increase the drilling speed. Comprehensive analysis can obtain a more comprehensive, accurate and in-depth core sample layer strength assessment index.

[0053] Table 1 Example of core layer strength evaluation index data

[0054]

[0055]

[0056] As shown in Table 1, the core sample layer strength assessment index is jointly determined by the drill pipe rotation speed, the drill pipe footage speed, the core sample layer density assessment index and the drilling pressure. In a specific embodiment, the critical drill pipe rotation speed is 200 rpm, the critical drill pipe footage speed is 30 m / h, the critical drilling pressure is 10 kN, the core sample layer strength assessment influence factor corresponding to the set drill pipe rotation speed is 0.2, the core sample layer strength assessment influence factor corresponding to the set drill pipe footage speed is 0.4, the core sample layer strength assessment influence factor corresponding to the set drilling pressure is 0.3, and the core sample layer strength assessment influence factor corresponding to the set core sample layer density assessment index is 0.3. The formula takes into account four key factors, namely, drill pipe rotation speed, drill pipe footage speed, core sample layer density assessment index and drilling pressure. It can optimize the core drilling parameters, such as adjusting the drill pipe rotation speed and drilling pressure to match the physical and mechanical properties of the core sample layer, thereby improving the drilling speed. Reasonable core drilling parameters can reduce the wear and failure of the drill bit, reduce the downtime caused by equipment failure, thereby improving the overall efficiency of the drilling operation, and can also timely detect and prevent abnormal conditions in the drilling process, such as drill pipe breakage and drill bit jamming, thereby ensuring the safety of the drilling operation and helping to ensure that the parameters such as the diameter, depth and inclination of the borehole meet the design requirements, thereby improving the quality of the drill core. By standardizing the drill pipe rotation speed, drill pipe footage speed, and drilling pressure to ensure that they are compared at the same level, the fairness and comparability of the evaluation are improved. At the same time, the settings of zV0, gV0 and y0 help to improve the drilling efficiency while ensuring the quality of the drill core. By weighting the influence of drill pipe rotation speed, drill pipe footage speed, core sample layer density evaluation index and drilling pressure, their relative importance in the evaluation index can be reflected. The weights of different factors can be adjusted according to different needs, making the model highly adaptable. It is not difficult to see that the greater the drill pipe rotation speed or drill pipe footage speed or core sample layer density evaluation index and drilling pressure, the greater the core sample layer strength evaluation index. By evaluating the core sample layer strength assessment index, the mechanical properties of the core sample layer can be understood, thereby guiding the setting of parameters such as drill pipe rotation speed, drill pipe penetration speed and drilling pressure in drilling operations, ensuring the safety and efficiency of drilling operations, and formulating more reasonable construction plans, such as selecting appropriate drilling equipment, drilling methods and drilling sequences, to reduce construction difficulty, and help predict the stability of the stratum during drilling or excavation, so as to take corresponding reinforcement measures in advance to prevent accidents such as stratum collapse. At the same time, it reflects the mechanical properties and deformation characteristics of the core sample layer, thereby helping geological exploration personnel understand the distribution of geological structures and strata, and providing a basis for subsequent engineering design and construction. The core sample layer strength of different core sample layers is different. Quantifying the core sample layer strength helps to evaluate the accuracy of the drilling rig core position.

[0057] It should be understood that, in this embodiment, ω1, ω2, ω3 and ω4 are respectively the core sample layer strength assessment influencing factors corresponding to the drill pipe rotation speed, drill pipe footage speed, drilling pressure and core sample layer density assessment index preset in the geological drilling rig database, and respectively represent the numerical values ​​of the influence of the drill pipe rotation speed, drill pipe footage speed, drilling pressure and core sample layer density assessment index on the core sample layer strength assessment index, and can be directly obtained from the geological drilling rig database when used, and the corresponding relationship can be a preset mapping relationship, for example, the drill pipe rotation speed, drill pipe footage speed, drilling pressure and core sample layer density assessment index are respectively the influence of the drill pipe rotation speed, drill pipe footage speed, drilling pressure and core sample layer density assessment index on the core sample layer strength assessment index. The sample layer density assessment index is respectively mapped with the core sample layer strength assessment influencing factors corresponding to the drill pipe rotation speed, drill pipe footage speed, drilling pressure and core sample layer density assessment index preset in the geological drilling rig database to form a mapping set. The real-time drill pipe rotation speed, drill pipe footage speed, drilling pressure and core sample layer density assessment index are input into the mapping set to obtain the core sample layer strength assessment influencing factors corresponding to the drill pipe rotation speed, drill pipe footage speed, drilling pressure and core sample layer density assessment index. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is between 0 and 1.

[0058] It should be explained that the core sample layer strength evaluation index in this embodiment is a quantitative indicator obtained by analyzing the drill pipe rotation speed, drill pipe penetration speed, drilling pressure and core sample layer density evaluation index, and is used to quantify the strength of the core sample layer.

[0059] Furthermore, a comprehensive analysis is performed to obtain an accuracy assessment value of the drilling rig core position, and the specific analysis process is as follows: the core sample layer data of the preset core position includes a reference standard core sample layer strength assessment index, a reference standard RGB value and a reference standard core sample layer density assessment index.

[0060] The allowable deviation core sample layer strength assessment index, allowable deviation core sample layer density assessment index and allowable deviation color channel intensity value are extracted from the geological drilling rig database. Based on the core sample layer strength assessment index, core sample layer density assessment index and core sample layer RGB value, and combined with the core sample layer data of the preset core position, a comprehensive analysis is performed to obtain the drilling rig core position accuracy assessment value.

[0061] In a specific embodiment, the RGB value of the core sample layer can be obtained by obtaining an RGB sensor. The RGB value of the core sample layer includes the intensity values ​​of the red channel, the green channel and the blue channel. The reference standard RGB value includes the reference standard intensity values ​​of the red channel, the green channel and the blue channel. A core sample layer with high strength is usually more stable and can withstand greater external loads. Therefore, it is easier to maintain the stability of the hole position during core drilling. On the contrary, a core sample layer with low strength may be more prone to deformation and damage, resulting in deviation or collapse of the core drilling hole position. By measuring the strength of the core sample layer, the stability and reliability of the core drilling position can be preliminarily judged, thereby ensuring the accuracy of the core drilling results; a core sample layer with high density is usually more compact, The gaps between particles are smaller, so it is easier to maintain the stability of the hole wall when drilling. The core sample layer with low density may be looser, and the gaps between particles are larger, which can easily lead to instability in the core drilling position. By measuring the density of the core sample layer, we can further understand the structural characteristics and stability of the core sample layer, thereby optimizing the selection of the core drilling position; core samples of different colors and tones often reflect different material compositions and formation conditions. For example, certain specific colors may be related to specific mineral components or chemical reactions. These components or reactions may affect the strength and stability of the core sample layer. Therefore, observing the color changes of the core sample layer during the drilling process can be used as an intuitive judgment method to help evaluate the accuracy of the core drilling position.

[0062] Specifically, the drill core position accuracy evaluation value is expressed as follows:

[0063]

[0064] Where Ac represents the drilling rig core position accuracy assessment value, Q represents the core sample layer strength assessment index, Q0 represents the reference standard core sample layer strength assessment index, ΔQ represents the allowable deviation core sample layer strength assessment index, M represents the core sample layer density assessment index, M0 represents the reference standard core sample layer density assessment index, ΔM represents the allowable deviation core sample layer density assessment index, C i Represents the intensity value of the i-th color channel, C i0 represents the reference standard intensity value of the i-th color channel, ΔC represents the allowable deviation color channel intensity value, θ1 represents the drilling rig core position accuracy assessment impact factor corresponding to the set core sample layer strength assessment index, θ2 represents the drilling rig core position accuracy assessment impact factor corresponding to the set core sample layer density assessment index, θ3 represents the drilling rig core position accuracy assessment impact factor corresponding to the set color channel intensity value, i represents the number of each color channel, i=1,2,3, representing the red, blue and green color channels respectively.

[0065] It needs to be explained that Q0, M0 and C i0 Can be directly extracted from the geological drilling rig database.

[0066] like Figure 2 As shown, in a specific embodiment, θ1=0.3, θ2=0.3, θ3=0.4, Q0=0.5, M0=2.5, ΔQ=ΔM=ΔC=3, C1=C2=C3=50, C i0 =C i0 =C i0 =51. When M=1.5, the functional relationship between the drilling rig core position accuracy assessment value and the core sample layer strength assessment index is shown in curve a; when M=2, the functional relationship between the drilling rig core position accuracy assessment value and the core sample layer strength assessment index is shown in curve b; when M=2.3, the functional relationship between the drilling rig core position accuracy assessment value and the core sample layer strength assessment index is shown in curve c.

[0067] The algorithm of this embodiment combines the core sample layer strength evaluation index, core sample layer density evaluation index and core sample layer RGB value, and comprehensively analyzes to obtain the drilling rig core position accuracy evaluation value. Generally speaking, the greater the density of the core sample layer, the greater the contact area and friction between its particles, which may increase the strength of the core sample layer; the color and composition of the core sample layer may reflect its mechanical properties and density to a certain extent. For example, core samples of certain colors may contain specific mineral components or structural characteristics, which may affect the strength and density of the core sample layer. Comprehensive analysis can obtain a more comprehensive, accurate and in-depth drilling rig core position accuracy evaluation value.

[0068] It should be explained that three key factors are considered in this embodiment, namely, the core sample layer strength evaluation index, the core sample layer density evaluation index and the core sample layer RGB value, which can predict the resistance that may be encountered during the drilling process, so as to select the appropriate drilling method and equipment, avoid safety accidents during the drilling process, and select the appropriate drilling speed, drilling pressure and drilling method according to the strength of the core sample layer to improve the drilling efficiency and the quality of the core. It can also predict the bearing capacity of the position, so as to ensure the stability and safety of the drilling rig during the drilling process, and help to assist in judging the formation structure and the organic matter content, water content and other properties of the core sample layer, and provide a basis for adjusting the parameters during the drilling process. By standardizing the core sample layer strength evaluation index, the core sample layer density evaluation index and the core sample layer RGB value, ensuring that they are compared at the same level, the fairness and comparability of the evaluation are improved, and at the same time, Q0, M0 and C i0The setting of helps to judge whether there is a significant deviation in the core sample layer strength, core sample layer density and core sample layer color. By weighting the influence of the core sample layer strength evaluation index, core sample layer density evaluation index and core sample layer RGB value, it reflects their relative importance in the evaluation index. The weights of different factors can be adjusted according to different needs, making the formula highly adaptable. It is not difficult to see that the smaller the deviation of the core sample layer strength evaluation index, the core sample layer density evaluation index or the core sample layer RGB value, the greater the evaluation value of the drilling rig core position accuracy. By evaluating the accuracy assessment value of the drill core position, the drill can be guided to reach the target formation quickly and accurately, avoiding repeated drilling and ineffective drilling due to inaccurate positioning, thereby significantly improving the drilling efficiency, ensuring the safety and stability of the drill core position, effectively preventing the occurrence of safety accidents, and ensuring the safe progress of drilling operations. It can also provide a scientific basis for the formulation of the core drilling plan, and can also optimize the drilling layout according to the evaluation results to avoid unnecessary repeated drilling and waste, which helps geologists to more accurately understand the underground rock structure, lithology distribution and distribution of mineral resources, which is of great significance to the precision and accuracy of geological exploration.

[0069] It should be understood that in this embodiment, θ1, θ2 and θ3 are respectively the core sample layer strength evaluation index, core sample layer density evaluation index and core sample layer RGB value preset in the geological drilling rig database, and the drilling rig core position accuracy evaluation influencing factors corresponding to them, which respectively represent the numerical values ​​of the influence of the core sample layer strength evaluation index, the core sample layer density evaluation index and the core sample layer RGB value on the drilling rig core position accuracy evaluation value, and can be directly obtained from the geological drilling rig database when used, and the corresponding relationship can be a preset mapping relationship, for example, the core sample layer strength evaluation index, the core sample layer density evaluation index and the core sample layer RGB value The sample layer RGB value is respectively mapped with the core sample layer strength assessment index, core sample layer density assessment index and the drilling rig core position accuracy assessment influencing factor corresponding to the core sample layer RGB value preset in the geological drilling rig database to form a mapping set, and the real-time core sample layer strength assessment index, core sample layer density assessment index and core sample layer RGB value are input into the mapping set to obtain the core sample layer strength assessment index, core sample layer density assessment index and the drilling rig core position accuracy assessment influencing factor corresponding to the core sample layer RGB value. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is between 0 and 1.

[0070] It should be explained that the drilling rig core drilling position accuracy evaluation value in the present embodiment is a quantitative index obtained by analyzing the core sample layer strength evaluation index, the core sample layer density evaluation index and the core sample layer RGB value, and is used to quantify the accuracy of the drilling rig core drilling position. The accuracy of the drilling rig core drilling position refers to the ability of the drilling rig to accurately control the drilling position during operation. The accuracy of the drilling position is directly related to the bearing capacity and stability of the concrete bored pile. If the drilling position deviation is too large, it may lead to a reduction in the contact area between the pile body and the surrounding soil, thereby reducing the bearing capacity of the pile. The deviation in the drilling position may also cause the pile body to tilt or break, further weakening the bearing capacity of the pile. If the drilling position is inaccurate, it may lead to uneven distribution of the interaction force between the pile body and the surrounding soil, thereby affecting the stability of the pile. The deviation in the drilling position may also cause the soil around the pile body to loosen or collapse, further aggravating the instability of the pile. The precise core drilling position can ensure that the drill rig drills in the appropriate core sample layer and reaches the designed depth, thereby ensuring the quality of the pile body; the precise core drilling position helps to reduce the accumulation of sediment at the bottom of the hole. The sediment at the bottom of the hole is one of the important factors affecting the quality of concrete cast-in-place piles. Excessive sediment will reduce the bearing capacity of the pile. Through precise drilling, it can be ensured that the borehole reaches the designed depth and the hole is cleaned in time, thereby effectively reducing the accumulation of sediment at the bottom of the hole; the precise core drilling position helps to avoid the occurrence of mud inclusion during concrete pouring. Mud inclusion is caused by impurities such as mud and mud blocks mixed into the concrete, which will reduce the strength and uniformity of the concrete. Through precise drilling and hole cleaning, it can be ensured that the hole is clean and free of impurities before concrete pouring, thereby avoiding the occurrence of mud inclusion; the precise core drilling position helps to ensure the integrity of the pile body. The integrity of the pile body refers to the state of the pile body without cracks, voids, mud inclusions and other defects. Through precise drilling and standardized construction operations, it can be ensured that the pile body is not damaged during the pouring process and its integrity is maintained.

[0071] Specifically, the drill rig core position is evaluated according to the drill rig core position accuracy evaluation value, and the specific evaluation process is: extract the drill rig core position accuracy evaluation threshold from the geological drill rig database, compare the drill rig core position accuracy evaluation value with the drill rig core position accuracy evaluation threshold, if the drill rig core position accuracy evaluation value is greater than or equal to the drill rig core position accuracy evaluation threshold, then terminate the drilling operation, if the drill rig core position accuracy evaluation value is less than the drill rig core position accuracy evaluation threshold, then analyze the drill rig core sample layer and provide feedback.

[0072] Furthermore, the core sample layers of the drilling rig are analyzed. The specific analysis process is: the current core sample layer strength evaluation index, core sample layer density evaluation index and RGB value are processed to obtain the core similarity of each core sample layer, and the core sample layers are sorted from large to small according to their core similarity, and the core sample layer with the largest core sample layer similarity is marked as the current core sample layer.

[0073] It should be explained that the core similarity of each core sample layer is obtained by processing in this embodiment. The specific processing process is: obtaining the core sample layer data of each core sample layer, including the strength evaluation index of each core sample layer, the RGB value of each core sample layer, and the density evaluation index of each core sample layer, and based on the core sample layer strength evaluation index, core sample layer density evaluation index and core sample layer RGB value of the current drilling core sample layer, a comprehensive analysis is performed to obtain the core similarity of each core sample layer.

[0074] Furthermore, the core sample layer strength evaluation index, the core sample layer density evaluation index and the core sample layer RGB value of each core sample layer can be extracted from the geological drilling rig database.

[0075] Specifically, the core similarity of each core sample layer is expressed as follows:

[0076]

[0077] Among them, S j represents the core similarity of the jth core sample layer, Q represents the strength evaluation index of the current core sample layer, and Q j represents the j-th core sample layer strength evaluation index, ΔQ represents the allowable deviation core sample layer strength evaluation index, M represents the current core sample layer density evaluation index, M j represents the j-th core sample layer density assessment index, ΔM represents the allowable deviation core sample layer density assessment index, C ij represents the intensity value of the i-th color channel of the j-th core sample layer, C i0 represents the intensity value of the i-th color channel of the current core sample layer, ΔC represents the allowable deviation color channel intensity value, β1 represents the core sample layer similarity assessment influence factor corresponding to the set core sample layer intensity assessment index, β2 represents the core sample layer similarity assessment influence factor corresponding to the set core sample layer density assessment index, β3 represents the core sample layer similarity assessment influence factor corresponding to the set color channel intensity value, i represents the number of each color channel, i=1,2,3, representing the red, blue and green color channels respectively, j represents the number of each core sample layer, j=1,2,3,...,n, and n represents the total number of core samples.

[0078] It needs to be explained that, in this embodiment, the smaller the core sample layer strength assessment index deviation or the core sample layer density assessment index deviation or the core sample layer RGB value deviation is, the greater the similarity of the cores of each core sample layer is. With the passage of time, the boundary point of the core sample layer will change and need to be further determined and refined. By evaluating the similarity of the cores of each core sample layer, core sample layers with similar geological characteristics can be identified, and the rock and soil stratification map can be further refined and improved, helping technical personnel to better understand information such as stratigraphic structure, lithology distribution and geological structure, and improving the quality and reliability of geological exploration.

[0079] In a specific embodiment, analyzing the drill core sample layer and providing feedback also includes: obtaining a rock and soil stratification map from a geological drill database, extracting the relative distance between the current drill core sample layer and the preset drill core position, matching the drill rig operation time according to the relative distance between the current drill core sample layer and the preset drill core position and the current drill core drill rod footage speed, and controlling the drill rig according to the drill rig operation time.

[0080] The second aspect of the present invention provides an intelligent detection device for concrete bored piles based on the core drilling method, comprising: a processor and a memory and a network interface connected to the processor; the network interface is connected to a non-volatile memory in a server; when the processor is running, it retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to execute the above-mentioned method.

[0081] The geological drilling rig database is used to store geological drilling rig related data, including critical mineral particle average particle size, critical porosity, critical water content, core sample layer density assessment influencing factor corresponding to the set mineral particle average particle size, core sample layer density assessment influencing factor corresponding to the set porosity, core sample layer density assessment influencing factor corresponding to the set water content, critical drill pipe rotation speed, critical drill pipe footage speed, critical drilling pressure, core sample layer density assessment influencing factor corresponding to the set mineral particle average particle size, core sample layer density assessment influencing factor corresponding to the set porosity, core sample layer density assessment influencing factor corresponding to the set water content, reference standard core sample layer strength assessment index, reference standard RGB value, reference standard core sample layer density assessment index, allowable deviation core sample layer strength assessment index, allowable deviation core sample layer density assessment index, allowable deviation color channel value and drilling rig core position accuracy assessment threshold and other indicators.

[0082] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field 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 structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent detection method for concrete bored piles based on core drilling method, characterized in that: include: Acquire the preset core drilling position of the concrete cast-in-place pile and the core sample layer data of the preset core drilling position, and monitor the drilling rig working data and core sample layer characteristic data during the drilling process of the drilling rig, wherein the core sample layer characteristic data includes the core sample layer texture data and the core sample layer RGB value; The core sample layer texture data is processed to obtain the core sample layer density assessment index, the core sample layer density assessment index and the drilling rig working data are processed to obtain the core sample layer strength assessment index and the core sample layer RGB value, and combined with the core sample layer data of the preset core drilling position, a comprehensive analysis is performed to obtain the drilling rig core drilling position accuracy assessment value; The drill core position is evaluated according to the drill core position accuracy evaluation value. If the evaluation result is qualified, the drilling operation is terminated. If the evaluation result is unqualified, the drill core sample layer is analyzed and feedback is given.

2. According to claim 1, a method for intelligent detection of concrete bored piles based on core drilling method, characterized in that: The core sample layer texture data is processed to obtain the core sample layer density assessment index, and the specific processing process is as follows: The core sample layer texture data includes average particle size of mineral particles, porosity and water content; The critical average particle size of mineral particles, critical porosity and critical water content were extracted from the geological drilling rig database, and the core layer density evaluation index was obtained through comprehensive analysis.

3. According to claim 1, a method for intelligent detection of concrete bored piles based on core drilling method, characterized in that: The core sample layer density evaluation index and the drilling rig working data are processed to obtain the core sample layer strength evaluation index. The specific processing process is as follows: The drilling rig working data includes drill pipe rotation speed, drill pipe penetration speed and drilling pressure; The critical drill pipe rotation speed, critical drill pipe footage speed and critical drilling pressure were extracted from the geological drilling rig database, and combined with the core sample layer density assessment index, the core sample layer strength assessment index was obtained through comprehensive analysis.

4. According to claim 3, a method for intelligent detection of concrete bored piles based on core drilling method is characterized in that: The comprehensive analysis obtains the drilling rig core position accuracy evaluation value, and the specific analysis process is as follows: The core sample layer data of the preset core drilling position includes a reference standard core sample layer strength evaluation index, a reference standard RGB value and a reference standard core sample layer density evaluation index; The allowable deviation core sample layer strength assessment index, allowable deviation core sample layer density assessment index and allowable deviation color channel intensity value are extracted from the geological drilling rig database. Based on the core sample layer strength assessment index, core sample layer density assessment index and core sample layer RGB value, and combined with the core sample layer data of the preset core position, a comprehensive analysis is performed to obtain the drilling rig core position accuracy assessment value.

5. The intelligent detection method for concrete bored piles based on the core drilling method according to claim 4 is characterized in that: The drilling rig core position is evaluated according to the drilling rig core position accuracy evaluation value, and the specific evaluation process is as follows: The drill rig core position accuracy assessment threshold is extracted from the geological drill rig database, and the drill rig core position accuracy assessment value is compared with the drill rig core position accuracy assessment threshold. If the drill rig core position accuracy assessment value is greater than or equal to the drill rig core position accuracy assessment threshold, the drilling operation is terminated; if the drill rig core position accuracy assessment value is less than the drill rig core position accuracy assessment threshold, the drill rig core sample layer is analyzed and feedback is provided.

6. The intelligent detection method for bored concrete piles based on the core drilling method according to claim 5 is characterized by: The specific analysis process of analyzing the core sample layer of the drilling rig is as follows: The current core sample layer strength evaluation index, core sample layer density evaluation index and RGB value are processed to obtain the core similarity of each core sample layer. The core sample layers are sorted from large to small according to their core similarity, and the core sample layer with the largest core sample layer similarity is marked as the current core sample layer.

7. The intelligent detection method for bored concrete piles based on the core drilling method according to claim 6 is characterized by: The processing obtains the core similarity of each core sample layer, and the specific processing process is: The core sample layer data of each core sample layer is obtained, including the strength evaluation index of each core sample layer, the RGB value of each core sample layer, and the density evaluation index of each core sample layer. According to the core sample layer strength evaluation index, core sample layer density evaluation index and core sample layer RGB value of the current drilled core sample layer, the core similarity of each core sample layer is obtained through comprehensive analysis.

8. The intelligent detection method for concrete bored piles based on the core drilling method according to claim 6 is characterized by: The analyzing the drill core sample layer and providing feedback also includes: The geotechnical stratification map is obtained from the geological drilling rig database, and the relative distance between the current core sample layer and the preset core position is extracted. The drilling rig operation time is matched according to the relative distance between the current core sample layer and the preset core position and the current core drill rod footage speed, and the drilling rig is controlled according to the drilling rig operation time.

9. The intelligent detection method for bored concrete piles based on the core drilling method according to claim 4 is characterized in that: The specific numerical expression of the drilling rig core position accuracy evaluation value is: Where Ac represents the drilling rig core position accuracy assessment value, Q represents the core sample layer strength assessment index, Q0 represents the reference standard core sample layer strength assessment index, ΔQ represents the allowable deviation core sample layer strength assessment index, M represents the core sample layer density assessment index, M0 represents the reference standard core sample layer density assessment index, ΔM represents the allowable deviation core sample layer density assessment index, C i Represents the intensity value of the i-th color channel, C i0 represents the reference standard intensity value of the i-th color channel, ΔC represents the allowable deviation color channel intensity value, θ1 represents the drilling rig core position accuracy assessment impact factor corresponding to the set core sample layer strength assessment index, θ2 represents the drilling rig core position accuracy assessment impact factor corresponding to the set core sample layer density assessment index, θ3 represents the drilling rig core position accuracy assessment impact factor corresponding to the set color channel intensity value, i represents the number of each color channel, i=1,2,3, representing the red, blue and green color channels respectively.

10. A device for applying the intelligent detection method for concrete bored piles based on the core drilling method as claimed in any one of claims 1 to 9, characterized in that: include: Processors and memory and network interfaces connected to the processors; The network interface is connected to a non-volatile memory in the server; When running, the processor retrieves a computer program from the non-volatile memory through the network interface, and runs the computer program through the memory to execute the method described in any one of claims 1 to 9.

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