An intelligent detection device and method for concrete cast-in-place piles based on the core drilling method

Abstract

The present invention relates to the technical field of engineering detection, and specifically discloses an intelligent detection device and method for concrete cast-in-place piles based on the core drilling method. The method includes: obtaining the preset core drilling position and the core sample layer data of the preset core drilling position, and monitoring the drilling rig working data and the core sample layer characteristic data during the drilling process of the drilling rig; processing the core sample layer texture data to obtain the core sample layer density evaluation index, processing the core sample layer density evaluation index and the drilling rig working data, and comprehensively analyzing to obtain the accuracy evaluation value of the drilling rig core drilling position; evaluating the drilling rig core drilling position according to the accuracy evaluation value of the drilling rig core drilling position. By providing an intelligent detection device and method for concrete cast-in-place piles based on the core drilling method, the present invention can provide a scientific basis for the formulation of the core drilling plan, help to accurately understand the underground rock structure, lithology distribution and mineral resource distribution, and is of great significance for the accuracy and precision 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 object, the present invention is implemented through the following technical solutions: In the first aspect of the present invention, an intelligent detection method for cast-in-place concrete piles based on the core drilling method is provided, including: obtaining the preset core drilling position of the cast-in-place concrete pile and the core sample layer data at the preset core drilling position, and monitoring the drilling rig working data and the core sample layer characteristic data during the drilling process of the drilling rig, where the core sample layer characteristic data includes the core sample layer texture data and the core sample layer RGB value.

[0008] Process the core sample layer texture data to obtain the core sample layer density evaluation index, process the core sample layer density evaluation index and the drilling rig working data to obtain the core sample layer strength evaluation index and the core sample layer RGB value, and combine the core sample layer data at the preset core drilling position to comprehensively analyze and obtain the accuracy evaluation value of the drilling rig core drilling position.

[0009] Evaluate the core drilling position of the drilling rig according to the accuracy evaluation value of the drilling rig core drilling position. If the evaluation result is qualified, terminate the drilling operation. If the evaluation result is unqualified, analyze the core sample layer of the drilling rig core and give feedback.

[0010] As a further method, the process of processing the core sample layer texture data to obtain the core sample layer density evaluation index is as follows: The core sample layer texture data includes the average particle size of mineral particles, the void ratio, and the moisture content.

[0011] Extract the critical average particle size of mineral particles, the critical void ratio, and the critical moisture content from the geological drilling rig database, and comprehensively analyze to obtain the core sample layer density evaluation index.

[0012] As a further method, the process of processing the core sample layer density evaluation index and the drilling rig working data to obtain the core sample layer strength evaluation index is as follows: The drilling rig working data includes the rotary speed of the drill pipe, the penetration rate of the drill pipe, and the drilling pressure.

[0013] Extract the critical rotary speed of the drill pipe, the critical penetration rate of the drill pipe, and the critical drilling pressure from the geological drilling rig database, and combine with the core sample layer density evaluation index to comprehensively analyze and obtain the core sample layer strength evaluation index.

[0014] As a further method, the process of comprehensively analyzing to obtain the accuracy evaluation value of the drilling rig core drilling position is as follows: The core sample layer data at the preset core drilling position includes the reference standard core sample layer strength evaluation index, the reference standard RGB value, and the reference standard core sample layer density evaluation index.

[0015] Extract the allowable deviation core sample layer strength evaluation index, the allowable deviation core sample layer density evaluation index, and the allowable deviation color channel strength value from the geological drilling rig database. According to the core sample layer strength evaluation index, the core sample layer density evaluation index, and the core sample layer RGB value, and combine with the core sample layer data at the preset core drilling position, comprehensively analyze to obtain the accuracy evaluation value of the drilling rig core drilling position.

[0016] As a further method, the core drilling position of the drill rig is evaluated according to the accuracy evaluation value of the core drilling position of the drill rig. The specific evaluation process is as follows: Extract the accuracy evaluation threshold of the core drilling position of the drill rig from the geological drill rig database, compare the accuracy evaluation value of the core drilling position of the drill rig with the accuracy evaluation threshold of the core drilling position of the drill rig. If the accuracy evaluation value of the core drilling position of the drill rig is greater than or equal to the accuracy evaluation threshold of the core drilling position of the drill rig, the drilling operation is terminated. If the accuracy evaluation value of the core drilling position of the drill rig is less than the accuracy evaluation threshold of the core drilling position of the drill rig, the core sample layer of the core drilling of the drill rig is analyzed and feedback is given.

[0017] As a further method, the core sample layer of the core drilling of the drill rig is analyzed. The specific analysis process is as follows: The core sample similarity of each core sample layer is obtained by processing the current core sample layer strength evaluation index, the core sample layer density evaluation index and the RGB value. The core sample layers are sorted from largest to smallest according to the core sample similarity of each core sample layer, and the core sample layer with the largest core sample similarity is marked as the current core sample layer of the core drilling.

[0018] As a further method, the process of obtaining the core sample similarity of each core sample layer is as follows: Obtain the core sample layer data of each core sample layer, including the core sample layer strength evaluation index, the RGB value of each core sample layer, and the core sample layer density evaluation index of each core sample layer, and comprehensively analyze the core sample similarity of each core sample layer according to the core sample layer strength evaluation index, the core sample layer density evaluation index and the core sample layer RGB value of the current core sample layer of the core drilling.

[0019] As a further method, analyzing the core sample layer of the core drilling of the drill rig and giving feedback also includes: Obtaining the geotechnical stratification map from the geological drill rig database, extracting the relative distance between the current core sample layer of the core drilling and the preset core drilling position, matching the running time of the drill rig according to the relative distance between the current core sample layer of the core drilling and the preset core drilling position and the core drilling rod penetration speed of the current core drilling, and controlling the drill rig according to the running time of the drill rig.

[0020] As a further method, the accuracy evaluation value of the core drilling position of the drill rig has the following specific numerical expression:

[0021]

[0022] where Ac represents the accuracy evaluation value of the core drilling position of the drill rig, Q represents the core sample layer strength evaluation index, Q 0 represents the reference standard core sample layer strength evaluation index, ΔQ represents the allowable deviation core sample layer strength evaluation index, M represents the core sample layer density evaluation index, M 0 represents the reference standard core sample layer density evaluation index, ΔM represents the allowable deviation core sample layer density evaluation 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, θ 1 represents the influence factor for evaluating the accuracy of the core drilling position corresponding to the set core sample layer strength evaluation index, θ 2 represents the influence factor for evaluating the accuracy of the core drilling position corresponding to the set core sample layer density evaluation index, θ 3 represents the influence factor for evaluating the accuracy of the core drilling position corresponding to the set color channel intensity value. i represents the number of each color channel, and i = 1, 2, 3, representing the red, blue, and green color channels respectively.

[0023] In a second aspect of the present invention, there is provided an intelligent detection device for concrete cast-in-place piles based on the core drilling method, including: a processor, a memory connected to the processor, and a network interface; the network interface is connected to a non-volatile memory in a 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 the above.

[0024] A geological drill database for storing geological drill-related data, including the average particle size of critical mineral particles, critical void ratio, critical water content, influence factors for evaluating the core sample layer density corresponding to the set average particle size of mineral particles, influence factors for evaluating the core sample layer density corresponding to the set void ratio, influence factors for evaluating the core sample layer density corresponding to the set water content, critical drill pipe rotation speed, critical drill pipe penetration speed, critical drilling pressure, influence factors for evaluating the core sample layer density corresponding to the set average particle size of mineral particles, influence factors for evaluating the core sample layer density corresponding to the set void ratio, influence factors for evaluating the core sample layer density corresponding to the set water content, reference standard core sample layer strength evaluation index, reference standard RGB value, reference standard core sample layer density evaluation index, allowable deviation core sample layer strength evaluation index, allowable deviation core sample layer density evaluation index, allowable deviation color channel value, and the evaluation threshold for the accuracy of the core drilling position of the drill, etc.

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

[0026] (1) By providing an intelligent detection device and method for concrete cast-in-place piles based on the core drilling method, the present invention can provide a scientific basis for formulating the core drilling plan, and can also optimize the core drilling layout according to the evaluation results, avoiding unnecessary repeated core drilling and waste, and helping to accurately understand the underground rock structure, lithology distribution, and the distribution of mineral resources, which is of great significance for the accuracy and precision of geological exploration.

[0027] (2) By evaluating the core layer density evaluation index of the present invention, it is possible to predict the formation changes that may be encountered during the drilling process, which helps to take corresponding preventive measures in advance to ensure the safe progress of the core drilling project. At the same time, it helps to avoid risks such as equipment damage and formation collapse caused by inaccurate depth judgment during the drilling process, and a more reasonable core drilling plan can be formulated to avoid unnecessary drilling operations and losses of core drilling equipment.

[0028] (3) By considering the drill pipe rotation speed, the drill pipe penetration speed, the core layer density evaluation index, and the drilling pressure, the present invention can ensure the safety and efficiency of the drilling operation, and can also formulate a more reasonable construction plan, which helps to predict the stability of the formation during core drilling or excavation, and at the same time reflects the mechanical properties and deformation characteristics of the core layer, so as to help geological exploration personnel understand the geological structure and the distribution law of the formation, and provide a basis for subsequent engineering design and construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to the following drawings without creative efforts.

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

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

[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0033] Referring to Figure 1 As shown, the first aspect of the present invention provides an intelligent detection method for concrete cast-in-place piles based on the core drilling method, including: obtaining the preset core drilling position of the concrete cast-in-place pile and the core layer data of the preset core drilling position, and monitoring the drill rig working data and the core layer characteristic data during the drill rig drilling process, where the core layer characteristic data includes the core layer texture data and the core layer RGB value.

[0034] Process the core sample layer texture data to obtain the core sample layer density evaluation index. Process the core sample layer density evaluation index and the drilling rig working data to obtain the core sample layer strength evaluation index and the core sample layer RGB value, and combine the core sample layer data at the preset core drilling position to comprehensively analyze and obtain the accuracy evaluation value of the core drilling position of the drilling rig.

[0035] Evaluate the core drilling position of the drilling rig according to the accuracy evaluation value of the core drilling position of the drilling rig. If the evaluation result is qualified, terminate the drilling operation. If the evaluation result is unqualified, analyze the core sample layer of the drilling rig and give feedback.

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

[0037] Extract the critical average particle size of mineral particles, the critical void ratio, and the critical water content from the geological drilling rig database, and comprehensively analyze to obtain the core sample layer density evaluation index.

[0038] In a specific embodiment, the average particle size of mineral particles can be obtained by a laser particle size analyzer. The void ratio refers to the ratio of the pore volume in the soil mass to its solid particle volume. The porosity can be directly measured by a CT scanner, and then the void ratio can be calculated by porosity / (1 - porosity). The water content can be measured by a moisture sensor. Within a certain range of water content, as the water content decreases, the water between soil particles is discharged, and the compaction force between soil particles increases, resulting in an increase in soil density. However, when the water content drops below a certain critical value, that is, the critical minimum water content, problems such as soil cracking and hardening will occur, which will damage the soil structure and make the soil structure loose. At this time, the soil density may decrease with the further decrease of the water content. The critical maximum water content refers to the maximum water content that the soil can hold under specific conditions. Exceeding this content, 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 sample layer density evaluation index, e represents the natural constant, L represents the average particle size of mineral particles, L 0 represents the set critical average particle size of mineral particles, k represents the void ratio, k 0 represents the set critical void ratio, w represents the water content, w 0 represents the set critical maximum water content, w 1 represents the set critical minimum water content, ρ 1The influence factor for evaluating the core sample layer density corresponding to the set average particle size of mineral particles, ρ 2 The influence factor for evaluating the core sample layer density corresponding to the set void ratio, ρ 3 The influence factor for evaluating the core sample layer density corresponding to the set moisture content.

[0042] The algorithm of this embodiment combines the average particle size of mineral particles, void ratio, and moisture content of the core sample layer, and comprehensively analyzes to obtain the core sample layer density evaluation index. 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 void ratio may be. At the same time, the pores formed by small-sized particles are often more connected, which is beneficial to the penetration of water and gas; small-sized particles such as clay particles have a large specific surface area and adsorption capacity, can adsorb more water, and maintain a high moisture content; and the larger the void ratio, the larger the pore volume in the soil, and the more water can be stored. Through comprehensive analysis, a more comprehensive, accurate, and in-depth core sample layer density evaluation index can be obtained.

[0043] It should be noted that in this embodiment, three key factors, namely the average particle size of mineral particles, void ratio, and moisture content, are considered, which can more comprehensively reflect the structure, compactness, and moisture state of the core sample layer, thereby improving the accuracy of the core sample layer density evaluation, reducing errors caused by changes in a single factor, and formulating targeted soil improvement measures. For example, for a core sample layer with too high density and poor air permeability, its 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, provides a scientific basis for engineering design and construction, reveals the physical properties and water movement laws of the soil, and provides new ideas and methods for soil management and utilization. By standardizing the average particle size of mineral particles, void ratio, and moisture content of the core sample layer, ensuring that they are compared on the same order of magnitude, the fairness and comparability of the evaluation are improved. At the same time, L 0 、k 0 and w 0The setting helps to avoid the coring risk caused by too high average particle size of mineral particles, void ratio and water content. By weighting the effects of the average particle size of mineral particles, void ratio and water content, 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 of mineral particles or the void ratio is larger, the evaluation index of core sample layer density is smaller. When the water content is lower than its minimum threshold, the larger the water content, the larger the evaluation index of core sample layer density. When the water content is higher than its minimum threshold, the larger the water content, the smaller the evaluation index of core sample layer density. By evaluating the evaluation index of core sample layer density, potential risks such as formation fractures and landslides during drilling can be predicted, which helps to take corresponding preventive measures in advance to ensure the safe progress of the drilling project. At the same time, it helps to avoid risks such as equipment damage and formation collapse caused by inaccurate depth judgment during drilling, and a more reasonable drilling plan can be formulated to avoid unnecessary drilling operations and losses of coring equipment.

[0044] It should be understood that in this embodiment, ρ 1 is the influence factor of core sample layer density evaluation corresponding to the average particle size of mineral particles preset in the geological drilling rig database, which represents the numerical value of the influence degree of the average particle size of mineral particles on the evaluation index of core sample layer density. When in use, the influence factor of core sample layer density evaluation corresponding to the average particle size of mineral particles can be directly obtained from the geological drilling rig database, and its corresponding relationship can be a preset mapping relationship. For example, the average particle size of mineral particles in the core sample layer and the influence factor of core sample layer density evaluation corresponding to the average particle size of mineral particles preset in the geological drilling rig database form a mapping set. The real-time average particle size of mineral particles is input into the mapping set to obtain the influence factor of core sample layer density evaluation corresponding to the average particle size of mineral particles. The mapping relationship therein can be a one-to-one or many-to-one relationship. In this example, its value range is between 0 and 1; ρ 2 is the influence factor of core sample layer density evaluation corresponding to the void ratio preset in the geological drilling rig database, which represents the numerical value of the influence degree of the void ratio on the evaluation index of core sample layer density. When in use, the influence factor of core sample layer density evaluation corresponding to the void ratio can be directly obtained from the geological drilling rig database, and its corresponding relationship can be a preset mapping relationship. For example, the void ratio of the core sample layer and the influence factor of core sample layer density evaluation corresponding to the void ratio preset in the geological drilling rig database form a mapping set. The real-time void ratio is input into the mapping set to obtain the influence factor of core sample layer density evaluation corresponding to the void ratio. The mapping relationship therein can be a one-to-one or many-to-one relationship. In this example, its value range is between 0 and 1; ρ 3It is the influence factor for evaluating the core sample layer density corresponding to the preset moisture content in the geological drill database, which is a numerical value representing the influence degree of the moisture content on the core sample layer density evaluation index. When in use, the influence factor for evaluating the core sample layer density corresponding to the moisture content can be directly obtained from the geological drill database, and its corresponding relationship can be a pre-set mapping relationship. For example, the moisture content of the core sample layer and the influence factor for evaluating the core sample layer density corresponding to the preset moisture content in the geological drill database form a mapping set. The real-time moisture content is input into the mapping set to obtain the influence factor for evaluating the core sample layer density corresponding to the moisture content. The mapping relationship therein can be one-to-one or many-to-one. In this example, its value range is between 0 and 1.

[0045] It should be explained that in this embodiment, the core sample layer density evaluation index is a quantitative index obtained by analyzing the average particle size of mineral particles, void ratio and moisture content of 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 drill working data are processed to obtain the core sample layer strength evaluation index. The specific processing process is as follows: the drill working data includes the drill pipe rotation speed, drill pipe penetration speed and drilling pressure.

[0047] The critical drill pipe rotation speed, critical drill pipe penetration speed and critical drilling pressure are extracted from the geological drill database, and combined with the core sample layer density evaluation index, the core sample layer strength evaluation index is obtained through comprehensive analysis.

[0048] In a specific embodiment, the drill pipe rotation speed refers to the rotation speed when the drilling rig rotates the drill pipe to reach the preset position during drilling. The rotation speed reflects the rotation speed of the drill bit in the core sample layer. When the core sample layer has greater strength, a higher rotation speed is required to provide sufficient crushing; the drill pipe penetration speed refers to the penetration drilled by the drill rig within the unit drilling time. The penetration 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 lower, the drill bit will more easily penetrate the core sample layer and the penetration speed will also increase accordingly; the drilling pressure refers to when drilling normally, the drill string is lowered and part of the gravity of the drill string is added to the drill bit as the drilling pressure, which determines the ability of the drill bit to break the core sample layer. During the drilling process, if the core sample layer has higher strength, 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 a drill speed sensor, and the drilling pressure can be obtained through a drilling pressure sensor. Using the parameters of the drill bit to evaluate the strength of the core sample layer is mainly based on the principle of the 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 the difficulty of drilling 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 evaluation index, zV represents the drill pipe rotation speed, and zV 0 represents the set critical drill pipe rotation speed, gV represents the drill pipe penetration speed, and gV 0 represents the set critical drill pipe penetration speed, y represents the drilling pressure, and y 0 represents the set critical drilling pressure, M represents the core sample layer density evaluation index, ω 1 represents the influence factor of the core sample layer strength evaluation corresponding to the set drill pipe rotation speed, ω 2 represents the influence factor of the core sample layer strength evaluation corresponding to the set drill pipe penetration speed, ω 3 represents the influence factor of the core sample layer strength evaluation corresponding to the set drilling pressure, ω 4 represents the influence factor of the core sample layer strength evaluation corresponding to the set core sample layer density evaluation index.

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

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

[0054]

[0055]

[0056] As shown in Table 1, the core sample layer strength evaluation index is jointly determined by the drill pipe rotation speed, the drill pipe penetration speed, the core sample layer density evaluation index, and the drilling pressure. In a specific embodiment, the critical drill pipe rotation speed is 200 revolutions per minute, the critical drill pipe penetration speed is 30 meters per hour, the critical drilling pressure is 10 kN, the influence factor of the core sample layer strength evaluation corresponding to the set drill pipe rotation speed is 0.2, the influence factor of the core sample layer strength evaluation corresponding to the set drill pipe penetration speed is 0.4, the influence factor of the core sample layer strength evaluation corresponding to the set drilling pressure is 0.3, and the influence factor of the core sample layer strength evaluation corresponding to the set core sample layer density evaluation index is 0.3. This formula takes into account four key factors, namely the drill pipe rotation speed, the drill pipe penetration speed, the core sample layer density evaluation index, and the drilling pressure, and can optimize the core drilling parameters, such as adjusting the drill pipe rotation speed and the drilling pressure, to match the physical and mechanical properties of the core sample layer, thereby increasing the drilling speed. Reasonable core drilling parameters can reduce the wear and failure of the drill bit, reduce the downtime caused by equipment failures, thereby improving the overall efficiency of the drilling operation. It can also detect and prevent abnormal situations during the drilling process in a timely manner, such as drill pipe fracture, drill bit sticking, etc., thereby ensuring the safety of the drilling operation, helping to ensure that parameters such as the diameter, depth, and inclination of the drill hole meet the design requirements, and thus improving the core drilling quality. By standardizing the drill pipe rotation speed, the drill pipe penetration speed, and the drilling pressure, ensuring that they are compared on the same magnitude, the fairness and comparability of the evaluation are improved. At the same time, zV 0 , gV 0 and y 0 settings help to improve the drilling efficiency while ensuring the core drilling quality. By weighting the influences of the drill pipe rotation speed, the drill pipe penetration speed, the core sample layer density evaluation index, and the drilling pressure, their relative importance in the evaluation index is reflected, and the weights of different factors can be adjusted according to different needs, making the model have good adaptability. It is not difficult to see that when the drill pipe rotation speed or the drill pipe penetration speed or the core sample layer density evaluation index and the drilling pressure are larger, the core sample layer strength evaluation index is larger. By evaluating the core sample layer strength evaluation index, the mechanical properties of the core sample layer can be understood, so as to guide the setting of parameters such as the drill pipe rotation speed, the drill pipe penetration speed, and the drilling pressure in the drilling operation, ensure the safety and efficiency of the drilling operation, and can also formulate a more reasonable construction plan, such as selecting appropriate drilling equipment, drilling methods, and drilling sequences, etc., to reduce the construction difficulty, help to predict the stability of the formation during drilling or excavation, and thus take corresponding reinforcement measures in advance to prevent accidents such as formation collapse. At the same time, it reflects the mechanical properties and deformation characteristics of the core sample layer, thereby helping geological exploration personnel to understand the geological structure and the distribution law of the formation, providing a basis for subsequent engineering design and construction. The core sample layer strengths of different core sample layers are different, and quantifying the core sample layer strength helps to evaluate the accuracy of the drill core position of the drilling rig.

[0057] It should be understood that in this embodiment, ω1 and ω 2 and ω 3 and ω 4 are respectively the influence factors of the core layer strength evaluation corresponding to the preset drill pipe rotation speed, drill pipe penetration speed, drilling pressure, and core layer density evaluation index in the geological drill database, and respectively represent the numerical values of the influence degree of the drill pipe rotation speed, drill pipe penetration speed, drilling pressure, and core layer density evaluation index on the core layer strength evaluation index. When in use, they can be directly obtained from the geological drill database, and their corresponding relationship can be a pre-set mapping relationship. For example, the drill pipe rotation speed, drill pipe penetration speed, drilling pressure, and core layer density evaluation index respectively form a mapping set with the influence factors of the core layer strength evaluation corresponding to the preset drill pipe rotation speed, drill pipe penetration speed, drilling pressure, and core layer density evaluation index in the geological drill database. Inputting the real-time drill pipe rotation speed, drill pipe penetration speed, drilling pressure, and core layer density evaluation index into the mapping set to obtain the influence factors of the core layer strength evaluation corresponding to the drill pipe rotation speed, drill pipe penetration speed, drilling pressure, and core layer density evaluation index. The mapping relationship therein can be a one-to-one or many-to-one relationship. In this example, its value range is between 0 and 1.

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

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

[0060] Extract the allowable deviation core layer strength evaluation index, the allowable deviation core layer density evaluation index, and the allowable deviation color channel strength value from the geological drill database. According to the core layer strength evaluation index, the core layer density evaluation index, and the core layer RGB value, and in combination with the core layer data of the preset drill core position, a comprehensive analysis is performed to obtain the evaluation value of the accuracy of the drill core position of the drill rig.

[0061] In a specific embodiment, the RGB values of the core sample layer can be obtained through an RGB sensor. The RGB values of the core sample layer include the intensity values of the red channel, green channel, and blue channel. The reference RGB values include the reference standard intensity values of the red channel, green channel, and blue channel. Core sample layers with higher intensity are 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, core sample layers with lower intensity may be more prone to deformation and damage, resulting in the deviation or collapse of the core drilling hole position. By measuring the intensity of the core sample layer, the stability and reliability of the core drilling position can be preliminarily judged, thus ensuring the accuracy of the core drilling results. Core sample layers with higher density are usually more compact, with smaller voids between particles. Therefore, it is easier to maintain the stability of the hole wall during core drilling. Core sample layers with lower density may be looser, with larger voids between particles, which can easily lead to the instability of the core drilling hole position. By measuring the density of the core sample layer, the structural characteristics and stability of the core sample layer can be further understood, thus optimizing the selection of the core drilling position. Core sample layers with different colors and hues often reflect different material compositions and formation conditions. For example, certain specific colors may be related to specific mineral compositions or chemical reactions, and these compositions or reactions may affect the intensity and stability of the core sample layer. Therefore, observing the color change 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 accuracy evaluation value of the core drilling position of the drilling rig has the following specific numerical expression:

[0063]

[0064] where Ac represents the accuracy evaluation value of the core drilling position of the drilling rig, Q represents the core sample layer strength evaluation index, Q 0 represents the reference standard core sample layer strength evaluation index, ΔQ represents the allowable deviation core sample layer strength evaluation index, M represents the core sample layer density evaluation index, M 0 represents the reference standard core sample layer density evaluation index, ΔM represents the allowable deviation core sample layer density evaluation 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, θ 1 represents the influence factor of the accuracy evaluation of the core drilling position of the drilling rig corresponding to the set core sample layer strength evaluation index, θ 2 represents the influence factor of the accuracy evaluation of the core drilling position of the drilling rig corresponding to the set core sample layer density evaluation index, θ 3 represents the influence factor of the accuracy evaluation of the core drilling position of the drilling rig corresponding to the set color channel intensity value. i represents the number of each color channel, and i = 1, 2, 3, representing the red, blue, and green color channels respectively.

[0065] It should be noted that Q0 , M 0 and C i0 can be directly extracted from the geological drill database.

[0066] As Figure 2 shown, in a specific embodiment, θ 1 = 0.3, θ 2 = 0.3, θ 3 = 0.4, Q 0 = 0.5, M 0 = 2.5, ΔQ = ΔM = ΔC = 3, C 1 = C 2 = C 3 = 50, C i0 = C i0 = C i0 = 51. When M = 1.5, the functional relationship between the evaluation value of the drill core position accuracy of the drill and the evaluation index of the core sample layer strength is shown as curve a; when M = 2, the functional relationship between the evaluation value of the drill core position accuracy of the drill and the evaluation index of the core sample layer strength is shown as curve b; when M = 2.3, the functional relationship between the evaluation value of the drill core position accuracy of the drill and the evaluation index of the core sample layer strength is shown as curve c.

[0067] The algorithm of this embodiment combines the evaluation index of the core sample layer strength, the evaluation index of the core sample layer density, and the RGB value of the core sample layer, and comprehensively analyzes to obtain the evaluation value of the drill core position accuracy of the drill. Generally speaking, the greater the density of the core sample layer, the greater the contact area and friction force between its particles, which may thus improve 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 sample layers of certain colors may contain specific mineral components or structural features, and these components or features may affect the strength and density of the core sample layer. Comprehensive analysis can obtain a more comprehensive, accurate, and in-depth evaluation value of the drill core position accuracy of the drill.

[0068] It should be explained that in this embodiment, three key factors are considered, namely the evaluation index of the core sample layer strength, the evaluation index of the core sample layer density, and the RGB value of the core sample layer, which can predict the resistance that may be encountered during the drilling process, so as to select appropriate drilling methods and equipment, avoid safety accidents during the drilling process, and select appropriate drilling speeds, drilling pressures, and drilling methods according to the strength of the core sample layer to improve the drilling efficiency and core sample quality. It can also predict the bearing capacity of this position, thus ensuring the stability and safety of the drill during the drilling process, and helping to assist in judging the formation structure and properties such as the organic matter content and water content of the core sample layer, providing a basis for parameter adjustment during the drilling process. By standardizing the evaluation index of the core sample layer strength, the evaluation index of the core sample layer density, and the RGB value of the core sample layer, it is ensured that they are compared on the same magnitude, improving the fairness and comparability of the evaluation. At the same time, Q 0 , M0 and C i0 The setting of helps to determine whether there are obvious deviations in the core sample layer strength, core sample layer density, and core sample layer color. By weighting the impacts on 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. Different factor weights can be adjusted according to different requirements, 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 deviation of the core sample layer density evaluation index, or the deviation of the core sample layer RGB value, the larger the evaluation value of the drilling rig core drilling position accuracy. By evaluating the evaluation value of the drilling rig core drilling position accuracy, it can guide the drilling rig to quickly and accurately reach the target formation, avoiding repeated drilling and ineffective drilling caused by inaccurate positions, thus significantly improving the drilling efficiency. It can ensure the safety and stability of the core drilling position, effectively prevent the occurrence of safety accidents, guarantee the safe progress of the drilling operation, and can provide a scientific basis for formulating the core drilling plan. It can also optimize the drilling layout according to the evaluation results, avoid unnecessary repeated drilling and waste, and help geologists more accurately understand the underground rock structure, lithology distribution, and mineral resource distribution, which is of great significance for the accuracy and precision of geological exploration.

[0069] It should be understood that in this embodiment, θ 1 , θ 2 and θ 3 are respectively the influence factors of the core sample layer strength evaluation index, core sample layer density evaluation index, and core sample layer RGB value corresponding to the drilling rig core drilling position accuracy evaluation preset in the geological drilling rig database, representing the numerical values of the influence degrees of the core sample layer strength evaluation index, core sample layer density evaluation index, and core sample layer RGB value on the evaluation value of the drilling rig core drilling position accuracy. They can be directly obtained from the geological drilling rig database during use, and their corresponding relationships can be pre-set mapping relationships. For example, the core sample layer strength evaluation index, core sample layer density evaluation index, and core sample layer RGB value respectively form a mapping set with the influence factors of the core sample layer strength evaluation index, core sample layer density evaluation index, and core sample layer RGB value corresponding to the drilling rig core drilling position accuracy evaluation preset in the geological drilling rig database. Inputting the real-time core sample layer strength evaluation index, core sample layer density evaluation index, and core sample layer RGB value into the mapping set to obtain the influence factors of the core sample layer strength evaluation index, core sample layer density evaluation index, and core sample layer RGB value corresponding to the drilling rig core drilling position accuracy evaluation. The mapping relationships therein can be one-to-one or many-to-one relationships. In this example, their value ranges are between 0 and 1.

[0070] It should be noted that the accuracy evaluation value of the core drilling position of the drill rig in this embodiment is a quantitative index obtained by analyzing the core layer strength evaluation index, the core layer density evaluation index, and the RGB value of the core layer, which is used to quantify the accuracy of the core drilling position of the drill rig. The accuracy of the core drilling position of the drill rig refers to the ability to accurately control the drilling position during the operation of the drill rig. The accuracy of the drilling position is directly related to the bearing capacity and stability of the cast-in-place concrete pile. If the deviation of the drilling position is too large, it may lead to a decrease in the contact area between the pile body and the surrounding soil, thereby reducing the bearing capacity of the pile. The deviation of the drilling position may also cause problems such as inclination or fracture of the pile body, 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 of the drilling position may also cause loosening or collapse of the soil around the pile body, further exacerbating the instability of the pile. An accurate core drilling position can ensure that the drill rig drills in the appropriate core layer and reaches the design depth, thereby ensuring the quality of the pile body; an accurate core drilling position helps to reduce the accumulation of bottom sediment in the hole. Bottom sediment is one of the important factors affecting the quality of cast-in-place concrete piles. Excessive sediment will reduce the bearing capacity of the pile. Through accurate drilling, it can be ensured that the drilling reaches the design depth and timely hole cleaning treatment is carried out, thereby effectively reducing the accumulation of bottom sediment; an accurate core drilling position helps to avoid the occurrence of mud inclusion during the concrete pouring process. Mud inclusion is caused by impurities such as mud and mud blocks mixing into the concrete, which will reduce the strength and uniformity of the concrete. Through accurate drilling and hole cleaning treatment, it can be ensured that the hole is clean and free of impurities before concrete pouring, thereby avoiding the occurrence of mud inclusion; an accurate 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, cavities, mud inclusion and other defects. Through accurate drilling and standardized construction operations, it can be ensured that the pile body is not damaged during the pouring process and maintains its integrity.

[0071] Specifically, the core drilling position of the drill rig is evaluated according to the accuracy evaluation value of the core drilling position of the drill rig. The specific evaluation process is as follows: extract the accuracy evaluation threshold of the core drilling position of the drill rig from the geological drill rig database, compare the accuracy evaluation value of the core drilling position of the drill rig with the accuracy evaluation threshold of the core drilling position of the drill rig. If the accuracy evaluation value of the core drilling position of the drill rig is greater than or equal to the accuracy evaluation threshold of the core drilling position of the drill rig, the drilling operation is terminated. If the accuracy evaluation value of the core drilling position of the drill rig is less than the accuracy evaluation threshold of the core drilling position of the drill rig, the core sample layer of the core drilling of the drill rig is analyzed and feedback is given.

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

[0073] It should be noted that in this embodiment, the core drilling similarity of each core sample layer is obtained through the following specific process: obtaining the core sample layer data of each core sample layer, including the strength evaluation index, RGB value, and density evaluation index of each core sample layer, and comprehensively analyzing the strength evaluation index, density evaluation index, and RGB value of the current core drilling core sample layer to obtain the core drilling similarity of each core sample layer.

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

[0075] Specifically, the specific numerical expression of the core drilling similarity of each core sample layer is as follows:

[0076]

[0077] Where S j represents the core drilling similarity of the j-th core sample layer, Q represents the strength evaluation index of the current core sample layer, Q j represents the strength evaluation index of the j-th core sample layer, ΔQ represents the allowable deviation of the strength evaluation index of the core sample layer, M represents the density evaluation index of the current core sample layer, M j represents the density evaluation index of the j-th core sample layer, ΔM represents the allowable deviation of the density evaluation index of the core sample layer, 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 of the intensity value of the color channel, β 1 represents the influence factor of the core sample layer similarity evaluation corresponding to the set strength evaluation index of the core sample layer, β 2 represents the influence factor of the core sample layer similarity evaluation corresponding to the set density evaluation index of the core sample layer, β 3 represents the influence factor of the core sample layer similarity evaluation corresponding to the set intensity value of the color channel, 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 sample layers.

[0078] It should be noted that in this embodiment, the smaller the deviation of the strength evaluation index of the core sample layer, the deviation of the density evaluation index of the core sample layer, or the deviation of the RGB value of the core sample layer, the greater the core drilling similarity of each core sample layer. As time goes by, the core sample layer demarcation point will change, and it is necessary to further determine and refine it. By evaluating the core drilling similarity of each core sample layer, core sample layers with similar geological characteristics can be identified, further refining and improving the geotechnical stratification map, helping technicians better understand information such as the formation structure, lithology distribution, and geological structure, and improving the quality and reliability of geological exploration.

[0079] In a specific embodiment, analyzing the core sample layer of the drilling rig and providing feedback further includes: obtaining a geotechnical stratification map from the geological drilling rig database, extracting the relative distance between the current core sample layer and the preset drilling position, matching the drilling rig operation time based on the relative distance between the current core sample layer and the preset drilling position and the current drilling rod penetration speed of the core drill, and controlling the drilling rig according to the drilling rig operation time.

[0080] The second aspect of the present invention provides an intelligent detection device for concrete cast-in-place piles based on the core drilling method, including: a processor, a memory and a network interface connected to the processor; 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 above-mentioned method.

[0081] The geological drilling rig database is used to store geological drilling rig-related data, including the average particle size of critical mineral particles, critical void ratio, critical moisture content, core sample layer density evaluation influence factors corresponding to the set average particle size of mineral particles, core sample layer density evaluation influence factors corresponding to the set void ratio, core sample layer density evaluation influence factors corresponding to the set moisture content, critical drill rod rotation speed, critical drill rod penetration speed, critical drilling pressure, core sample layer density evaluation influence factors corresponding to the set average particle size of mineral particles, core sample layer density evaluation influence factors corresponding to the set void ratio, core sample layer density evaluation influence factors corresponding to the set moisture content, reference standard core sample layer strength evaluation index, reference standard RGB value, reference standard core sample layer density evaluation index, allowable deviation core sample layer strength evaluation index, allowable deviation core sample layer density evaluation index, allowable deviation color channel value, and drilling rig core drilling position accuracy evaluation threshold and other indicators.

[0082] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, 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 drilling rig core position is evaluated according to the drilling rig core position accuracy evaluation value. If the evaluation result is qualified, the drilling operation is terminated. If the evaluation result is unqualified, the drilling rig core sample layer is analyzed and feedback is given; 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 are extracted from the geological drilling rig database, and the core sample layer strength evaluation index is obtained through comprehensive analysis combined with the core sample layer density evaluation index. 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; Extract the allowable deviation core sample layer strength evaluation index, the allowable deviation core sample layer density evaluation index and the allowable deviation color channel intensity value from the geological drilling rig database, and obtain the drilling rig core position accuracy evaluation value through comprehensive analysis based on the core sample layer strength evaluation index, the core sample layer density evaluation index and the core sample layer RGB value, combined with the core sample layer data of the preset drilling core position; 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, and the core sample layer is 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; 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.

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 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.

4. The intelligent detection method for bored concrete piles based on the core drilling method according to claim 1 is characterized in that: 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.

5. The intelligent detection method for bored concrete piles based on the core drilling method according to claim 1 is characterized in that: The specific numerical expression of the drilling rig core position accuracy evaluation value is: ； in, Indicates the drilling rig core position accuracy assessment value, represents the core sample layer strength assessment index, Indicates the reference standard core sample layer strength assessment index, Indicates the allowable deviation core sample layer strength assessment index, represents the core sample layer density assessment index, Represents the reference standard core sample layer density assessment index, Indicates the allowable deviation core sample layer density assessment index, represents the intensity value of the i-th color channel, Represents the reference standard intensity value of the i-th color channel, Indicates the allowable deviation color channel intensity value, Indicates the impact factor of the drilling rig core position accuracy assessment corresponding to the set core sample layer strength assessment index, Indicates the impact factor of the drilling rig core position accuracy assessment corresponding to the set core sample layer density assessment index, It represents the influencing factor of the drilling rig core position accuracy assessment 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.

6. 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 5, 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 5.

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