Carbonization depth detection method, system and device

Abstract

The invention relates to the technical field of depth measurement, and discloses a carbonization depth detection method, system and device, and the method comprises the steps: starting drilling equipment with impact and rotation functions, and carrying out the automatic drilling according to preset parameters, the preset parameters comprise the drilling depth, the rotation speed, the impact frequency and the like; when a hole is drilled to a certain depth, a concrete powder sample is automatically collected; then the built-in fan is started, and concrete powder in the drilled hole is automatically blown away; the computer system controls the alcohol phenolphthalein solution to be automatically added into the container, and the color change of the solution is monitored in real time through a built-in camera; the average value of the two drilling depths is calculated to serve as a carbonization depth detection result; and automatically generating a detection report. The system comprises a parameter setting module, a depth acquisition module and a result output module. According to the invention, automation, precision and intelligence of carbonization depth detection are realized; the detection accuracy and efficiency are improved, and the standardization of the detection process and the visualization of data are also realized.

Description

Technical Field

[0001] The present invention relates to the technical field of depth measurement, and in particular to a carbonization depth detection method, system and device. Background Art

[0002] The carbonation depth of concrete is an important indicator of concrete corrosion. The conventional detection method is to chisel a hole on the concrete surface, spray phenolphthalein alcohol solution into the hole, and then use a carbonation depth meter to measure the carbonation interface. For cases where the carbonation depth of concrete is small (depth is less than 2 cm), it is more convenient to use the chiseling method to take samples for testing; at present, many civil engineering projects in operation in my country have a carbonation depth of 2 cm or more due to the long construction time. The conventional chiseling method is used to detect the carbonation depth of concrete structures with a carbonation depth of 2 cm or more. Not only is the chiseling work time-consuming, labor-intensive and inefficient, but it will also cause great damage to the concrete surface, affecting the visual quality of the concrete.

[0003] Prior art 1, Chinese patent, application number CN201821563183.8 discloses a concrete carbonation depth measuring instrument, which involves the detection field of civil air defense departments, and aims to solve the problem that when the concrete surface is uneven, it needs to be ground with a grinding wheel before it can be operated. Its technical points are: a concrete carbonation depth measuring instrument includes a measuring end whose body contacts the surface of the object to be measured, and a probe that slides through the measuring end, and at least three contacts are arranged on the measuring end. Although it has the effect of directly measuring when the concrete surface is uneven without grinding. However, the working efficiency of the chiseling method and the damage to the project are not considered when the carbonization depth is large.

[0004] Prior art 2, Chinese patent, application number CN202321367212.4 discloses a portable carbonization depth measuring instrument that prevents measurement deviation. The upper surface of the main body is installed with an anti-skid mechanism on one side of the probe. The anti-skid mechanism includes a mounting frame installed on the outside of the carbonization depth measuring instrument main body by screws, and an anti-skid plate is provided on the upper surface of the mounting frame; a connecting plate is installed on the rear surface of the carbonization depth measuring instrument main body by screws, and the front surface of the connecting plate is connected to a fixing plate on both sides of the carbonization depth measuring instrument main body, and the rear surface of the connecting plate is provided with a first strap and a second strap from left to right. Although the first anti-skid area and the second anti-skid area on the anti-skid plate can improve the stability of the carbonization depth measuring instrument main body during use, it can avoid the carbonization depth measuring instrument main body from being offset during use and affecting the carbonization depth measurement. However, the chiseling work is time-consuming, labor-intensive, and inefficient, and it will cause great damage to the concrete surface, affecting the visual quality of the concrete.

[0005] Prior art three, Chinese patent, application number CN202121756988.6 discloses a digital carbonization depth measuring instrument, including a carbonization depth measuring instrument body and a lithium battery, a protective cover is provided on the top of the body, protective corners are provided on the left and right sides of the bottom of the carbonization depth measuring instrument body, a charging terminal is provided on the upper surface of the right side, a measuring button is provided on the right side of the body, a protective cover is provided at the rear end, and a battery slot is provided at the rear end of the body. Although the charging terminal and lithium battery are provided, the electricity is transmitted to the inside of the lithium battery through the charging terminal, and then stored in the battery, and the battery can be used repeatedly, thereby reducing environmental pollution, so that when the equipment is used, it can be repeatedly charged and reduce pollution to the environment. However, the chiseling work is time-consuming, labor-intensive, inefficient, and will cause great damage to the concrete surface, affecting the visual quality of the concrete.

[0006] At present, the existing technologies 1, 2 and 3 are mainly devoted to improving the measurement accuracy and work convenience after concrete chiseling. Their structures and functions are relatively simple, which affects the improvement of the intelligent level of the equipment. They do not consider the working efficiency and damage to the project of the chiseling method when the carbonization depth is large. The conventional chiseling method performs carbonization depth detection on concrete structures with a carbonization depth of 2 cm or more. Not only is the chiseling work time-consuming and labor-intensive, and inefficient, but it also causes great damage to the concrete surface, affecting the visual quality of the concrete. Therefore, a detection method suitable for carbonization depths of 2 cm or more is needed, which has high working efficiency and can reduce damage to the concrete surface. Summary of the invention

[0007] The main purpose of the present invention is to provide a carbonization depth detection method, system and device to solve the problems in the prior art that the structure and function are relatively simple, which affects the improvement of the intelligence level of the equipment; the chiseling work is time-consuming, labor-intensive and inefficient.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A carbonization depth detection method, the carbonization depth detection method comprising:

[0010] Start the drilling equipment with impact and rotation functions, and automatically drill according to preset parameters, including drilling depth, rotation speed and impact frequency; monitor the drilling depth in real time during the drilling process, and feed back the data to the computer system through the displacement sensor;

[0011] When drilling to a certain depth, concrete powder samples are automatically collected; then the built-in fan is started to automatically blow away the concrete powder in the drilled hole; the current drilling depth is measured by the displacement sensor, and the computer system automatically records the current drilling depth;

[0012] The computer system controls the automatic addition of alcohol phenolphthalein solution into the container, and monitors the solution color change in real time through the built-in camera; if the solution does not turn purple-red, the computer system automatically adjusts the drilling equipment parameters and continues drilling; when the phenolphthalein solution turns purple-red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth that did not change color; the average of the two drilling depths is calculated as the carbonization depth detection result;

[0013] The test report is automatically generated, including data such as drilling depth, color change of phenolphthalein solution, carbonization depth, etc., and displayed on the terminal in the form of a visual chart.

[0014] As a further improvement of the present invention, the preset parameter setting process of the drilling equipment includes:

[0015] Obtain the thickness and carbonization depth range of the concrete structure to be tested, set the drilling depth to the upper limit of the expected carbonization depth range, and increase the drilling depth by 10%-15%; input the set value into the computer system as the preset parameter of the drilling equipment; the computer system monitors the drilling depth in real time and feeds back the data through the displacement sensor;

[0016] According to the hardness of the concrete and the performance of the drilling equipment, a rotation speed range is selected, the rotation speed is set as a preset parameter, and input into the computer system; the computer system automatically adjusts the rotation speed according to the real-time monitoring data;

[0017] According to the hardness of the concrete and the drilling depth, the impact frequency range is selected, the impact frequency is set as a preset parameter, and input into the computer system; the computer system automatically adjusts the impact frequency according to the real-time monitoring data.

[0018] As a further improvement of the present invention, the process of automatically blowing away the concrete powder in the drill hole includes:

[0019] Detect the density and speed of the blown powder and evaluate the distribution of the powder in the borehole. The computer system receives and analyzes the sensor data in real time, calculates the current distribution density and blowing difficulty of the powder in the borehole, and predicts the fan power required under the current conditions.

[0020] Set the initial power of the fan according to the drilling depth and powder density; dynamically adjust the power of the fan according to real-time data feedback;

[0021] Adjusting the fan power through closed-loop control is a continuous optimization process. After each adjustment, data is collected and analyzed again.

[0022] As a further improvement of the present invention, the prediction expression of the wind turbine power is:

[0023]

[0024] Where P is the required fan power, K is a constant that depends on the efficiency and design parameters of the system, ρ is the density of the powder, v is the speed of blowing out the powder, D is the diameter of the drilled hole, α, β, γ are exponential parameters used to capture the nonlinear effects of density, speed and diameter on power, and X i is the vector of other influencing factors, including drilling depth, drilling angle, ambient temperature, ambient humidity, powder viscosity, λ i is the weight coefficient of each influencing factor, and n is the total number of influencing factors.

[0025] As a further improvement of the present invention, the process of real-time monitoring of the solution color change by a built-in camera includes:

[0026] Start the built-in camera, set the camera resolution and frame rate, and calibrate the displacement sensor; the camera collects images of the phenolphthalein solution in real time and transmits the image data to the computer system; pre-process the collected images, including denoising and contrast enhancement, and use computer vision algorithms to analyze the color information in the image in real time to determine whether the solution has turned purple-red;

[0027] The computer system monitors the color changes in the image in real time. When it detects that the solution color changes from the initial state to purple-red, the feedback mechanism is triggered; the computer system automatically records the current drilling depth and compares it with the previous drilling depth without color change;

[0028] According to the color change, the computer system automatically adjusts the parameters of the drilling equipment; the computer system calculates the average value of the two drilling depths as the carbonization depth detection result; and records the data such as the drilling depth, the color change of the phenolphthalein solution and the carbonization depth in the database.

[0029] As a further improvement of the present invention, the process of judging whether the solution turns purple-red comprises:

[0030] The built-in camera is activated, and the appropriate resolution and frame rate are set according to the requirements. The camera starts to collect images of the phenolphthalein solution in real time and transmits the image data to the computer system; the collected images are pre-processed;

[0031] Convert the image from RGB color space to HSV color space; in HSV color space, set a threshold range of purple-red, which is an interval set according to the hue, saturation and brightness of purple-red;

[0032] The preprocessed image is segmented to extract the solution area; the color of the solution area is detected using the set purple-red threshold; if the color of the solution area is detected to fall within the purple-red threshold range, it is determined that the solution has turned purple-red.

[0033] As a further improvement of the present invention, the process of triggering the feedback mechanism includes:

[0034] By comparing with a preset color threshold, it is determined whether the solution changes from an initial state to purple-red;

[0035] The computer system continuously monitors the color changes in the image and detects that the solution has turned purple, triggering a feedback mechanism;

[0036] When the feedback mechanism is triggered, the computer system acquires the current drilling depth data from the displacement sensor, calibrates the acquired depth data, and records the calibrated depth data in the computer system.

[0037] As a further improvement of the present invention, the process of calculating the average value of two drilling depths by the computer system includes:

[0038] The computer system obtains two drilling depth data, namely the drilling depth D1 in the initial state without color change and the drilling depth D2 after color change;

[0039] The weighted average method is used to calculate the carbonization depth. The specific formula is as follows:

[0040]

[0041] Among them, w1 and w2 are the weight coefficients of D1 and D2, respectively, which are dynamically adjusted according to the accuracy of the drilling equipment and environmental conditions;

[0042] Dynamically adjust the weight coefficient according to the real-time monitored environmental parameters and equipment status;

[0043] After calculating the average value, potential systematic errors are identified and corrected to ensure accurate carbonation depth detection results.

[0044] To achieve the above object, the present invention also provides the following technical solutions:

[0045] A carbonization depth detection system is applied to the carbonization depth detection method, and the carbonization depth detection system comprises:

[0046] A parameter setting module is used to start the drilling equipment with impact and rotation functions, and automatically drill according to preset parameters, including drilling depth, rotation speed and impact frequency; the drilling depth is monitored in real time during the drilling process, and the data is fed back to the computer system through the displacement sensor;

[0047] The depth collection module is used to automatically collect concrete powder samples when drilling to a certain depth; then start the built-in fan to automatically blow away the concrete powder in the drilled hole; the current drilling depth is measured by the displacement sensor, and the computer system automatically records the current drilling depth;

[0048] The result output module is used for the computer system to control the automatic addition of alcohol phenolphthalein solution into the container, and monitor the color change of the solution in real time through the built-in camera; if the solution does not turn purple-red, the computer system automatically adjusts the parameters of the drilling equipment and continues drilling; when the phenolphthalein solution turns purple-red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth that has not changed color; calculates the average of the two drilling depths as the carbonization depth detection result; automatically generates a detection report, including the drilling depth, the color change of the phenolphthalein solution, and the carbonization depth data, and displays it in the form of a visual chart on the terminal.

[0049] To achieve the above object, the present invention also provides the following technical solutions:

[0050] A carbonization depth detection device is applied to the carbonization depth detection method, and the carbonization depth detection device comprises: a concrete structure to be detected, a drilling device, a sampling rod, concrete powder, a phenolphthalein alcohol solution, a hair dryer, a label, a reagent filling scale, and a viscous material;

[0051] Among them, alcohol phenolphthalein solution is filled at the bottom of the test bag, and a reagent filling scale line is set on the test bag. The drill bit of the drilling equipment is perpendicular to the surface of the concrete structure to be tested, and the enlarged head of the sampling rod is extended into the deep part of the borehole to dip into the concrete powder; the enlarged head of the sampling rod is inserted into the test bag, and the hair dryer blows out the concrete powder remaining in the current borehole, and the depth value is written on the label of the test bag.

[0052] The present invention starts a drilling device with impact and rotation functions, and automatically drills according to preset parameters (drilling depth, rotation speed and impact frequency), ensuring the standardization and accuracy of the drilling process, monitoring the drilling depth in real time and feeding back data through a displacement sensor to ensure the accuracy of the drilling depth. The significance achieved: ensuring the automation and precision of the drilling process, improving the accuracy and efficiency of detection, and reducing human errors. When drilling to a certain depth, concrete powder samples are automatically collected to ensure the integrity and representativeness of the samples; the built-in fan is started to automatically clean the powder in the borehole to ensure that there is no residue in the borehole; the current drilling depth is measured by a displacement sensor, and the computer system automatically records it. The significance achieved: ensuring that there is no residue in the borehole to provide a clean environment for detection; accurately measuring and recording the drilling depth to provide accurate data for subsequent carbonization depth calculations. The computer system controls the automatic addition of alcohol phenolphthalein solution into the container, and monitors the color change of the solution in real time through the built-in camera; if the solution does not turn purple-red, the computer system automatically adjusts the parameters of the drilling equipment and continues drilling; when the phenolphthalein solution turns purple-red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth that has not changed color, and calculates the average of the two drilling depths as the carbonization depth detection result. Significance achieved: Automatic addition of phenolphthalein solution and real-time monitoring of color changes are achieved to ensure accurate detection of carbonization depth; by automatically adjusting drilling parameters, the efficiency and accuracy of detection are improved. Automatically generate a test report, which automatically generates a test report containing data such as drilling depth, color change of phenolphthalein solution, and carbonization depth, and displays it in the terminal in the form of a visual chart. Significance achieved: Provide detailed test data and visual charts for user analysis and archiving; improve the visualization and comprehensibility of test results, so that users can quickly grasp the test situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 A schematic diagram of the steps of an embodiment of a carbonization depth detection method of the present invention;

[0054] Figure 2 A schematic flow chart of the steps of setting preset parameters of a drilling device in one embodiment of a carbonization depth detection method of the present invention;

[0055] Figure 3 A schematic flow chart of the steps of automatically blowing away concrete powder in a drill hole according to an embodiment of a carbonization depth detection method of the present invention;

[0056] Figure 4 A schematic flow chart of the steps of using a built-in camera to monitor the color change of a solution in real time in one embodiment of a carbonization depth detection method of the present invention;

[0057] Figure 5 This is a functional module diagram of an embodiment of a carbonization depth detection system of the present invention;

[0058] Figure 6 It is a structural schematic diagram of an embodiment of a carbonization depth detection device of the present invention;

[0059] Figure 7 It is a structural schematic diagram of a blower and a reagent filling scale line of an embodiment of a carbonization depth detection device of the present invention;

[0060] Figure 8 A schematic diagram of the viscous material structure of an embodiment of a carbonization depth detection device of the present invention;

[0061] Fig. 9 A schematic diagram of the use process of an embodiment of the carbonization depth detection device of the present invention;

[0062] Fig.10 It is a structural schematic diagram of an embodiment of an electronic device of the present invention;

[0063] Fig.11 It is a schematic structural diagram of an embodiment of the storage medium of the present invention. DETAILED DESCRIPTION

[0064] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0065] The terms "first", "second" and "third" in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined as "first", "second" and "third" can explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0066] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0067] like Figure 1 As shown, this embodiment provides an embodiment of a carbonization depth detection method. In this embodiment, the carbonization depth detection method specifically includes the following steps:

[0068] Step S1: starting a drilling device with impact and rotation functions, and automatically drilling according to preset parameters, including drilling depth, rotation speed, impact frequency, etc.; monitoring the drilling depth in real time during the drilling process, and feeding back data to a computer system through a displacement sensor;

[0069] Step S2: When the drilling reaches a certain depth, concrete powder samples are automatically collected; the built-in blower is then started to automatically blow away the concrete powder in the drilled hole; the current drilling depth is measured by the displacement sensor, and the computer system automatically records the current drilling depth;

[0070] Step S3: the computer system controls to automatically add alcohol phenolphthalein solution into the container, and monitors the solution color change in real time through the built-in camera; if the solution does not turn purple-red, the computer system automatically adjusts the drilling equipment parameters and continues drilling; when the phenolphthalein solution turns purple-red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth that did not change color; the average of the two drilling depths is calculated as the carbonization depth detection result;

[0071] Step S4: Automatically generate a test report, including data such as drilling depth, color change of phenolphthalein solution, carbonization depth, etc., and display it on the terminal in the form of a visual chart.

[0072] Preferably, step S1 of this embodiment starts a drilling device with impact and rotation functions, performs automatic drilling according to preset parameters (drilling depth, rotation speed and impact frequency), ensures the standardization and accuracy of the drilling process, monitors the drilling depth in real time and feeds back data through a displacement sensor to ensure the accuracy of the drilling depth. Significance achieved: Ensure the automation and precision of the drilling process, improve the accuracy and efficiency of detection, and reduce human errors. When drilling to a certain depth, step S2 automatically collects concrete powder samples to ensure the integrity and representativeness of the samples; starts the built-in fan to automatically clean the powder in the borehole to ensure that there is no residue in the borehole; measures the current drilling depth through a displacement sensor, and the computer system automatically records it. Significance achieved: Ensure that there is no residue in the borehole to provide a clean environment for detection; accurately measure and record the drilling depth to provide accurate data for subsequent carbonization depth calculations. Step S3: The computer system controls the automatic addition of alcohol phenolphthalein solution into the container, and monitors the color change of the solution in real time through the built-in camera; if the solution does not turn purple-red, the computer system automatically adjusts the parameters of the drilling equipment and continues drilling; when the phenolphthalein solution turns purple-red, the computer system automatically records the current drilling depth, and compares it with the previous uncolored drilling depth, and calculates the average value of the two drilling depths as the carbonization depth detection result. Significance achieved: Automatic addition of phenolphthalein solution and real-time monitoring of color changes are achieved to ensure accurate detection of carbonization depth; by automatically adjusting drilling parameters, the efficiency and accuracy of detection are improved. Step S4: Automatically generate a test report, automatically generate a test report containing data such as drilling depth, phenolphthalein solution color change, carbonization depth, etc., and display it in the terminal in the form of a visual chart. Significance achieved: Provide detailed test data and visual charts to facilitate user analysis and archiving; improve the visualization and comprehensibility of test results, so that users can quickly grasp the test situation.

[0073] This embodiment is suitable for use in buildings or structures with a large carbonation depth during operation. For the detection of carbonation depth of concrete with a depth of 2 cm or more, sampling by chiseling is time-consuming and labor-intensive, while this embodiment uses drilling equipment to sample section by section, which is convenient, fast, time-saving and labor-saving. Compared with the traditional method of testing after chiseling, at the same sampling depth, the degree of damage to the concrete structure caused by this embodiment is far less than that caused by chiseling, and the cylindrical holes formed by drilling are easier to repair, and the quality of repair is easy to ensure.

[0074] In summary, this embodiment realizes the automation, precision and intelligence of carbonization depth detection, which not only improves the accuracy and efficiency of detection, but also realizes the standardization of the detection process and the visualization of data, meeting the needs of modern construction projects for high-precision detection.

[0075] Furthermore, if Figure 2As shown, the preset parameter setting process of the drilling equipment in step S1 specifically includes the following steps:

[0076] Step S11: Obtain the thickness and carbonization depth range of the concrete structure to be tested, set the drilling depth to the upper limit of the expected carbonization depth range, and increase the drilling depth by 10%-15%; input the set value into the computer system as a preset parameter of the drilling equipment; the computer system monitors the drilling depth in real time and feeds back data through the displacement sensor;

[0077] Step S12: According to the hardness of the concrete and the performance of the drilling equipment, a rotation speed range is selected, the rotation speed is set as a preset parameter, and input into the computer system; the computer system automatically adjusts the rotation speed according to the real-time monitoring data;

[0078] Step S13: According to the hardness of the concrete and the drilling depth, the impact frequency range is selected, the impact frequency is set as a preset parameter, and input into the computer system; the computer system automatically adjusts the impact frequency according to the real-time monitoring data.

[0079] Among them, step S11 sets the expression of drilling depth:

[0080]

[0081] Where D 钻孔 Indicates the final set drilling depth (in millimeters), D 碳化上限 Indicates the upper limit of the expected carbonization depth range (in millimeters), α 环境 Indicates the environmental factor coefficient, taking into account the influence of environmental factors such as temperature and humidity (the unit is expressed as a percentage), β 材料 represents the material characteristic coefficient, taking into account the composition and age of the concrete (in units expressed as percentages), γ 设备 Indicates the equipment wear coefficient, taking into account the age and degree of wear of the drilling equipment (the unit is expressed in percentage);

[0082] The computer system monitors the drilling depth in real time:

[0083]

[0084] Where D 实时 Indicates the real-time monitoring of the drilling depth (in millimeters), ΔD 传感器 Indicates the real-time deviation of the displacement sensor feedback (in percentage), ΔT 环境 Indicates the influence coefficient of ambient temperature change on drilling depth (unit is percentage);

[0085] Step S12 sets the expression of the rotation speed:

[0086]

[0087] Where N 旋转 Indicates the set rotation speed (in revolutions per minute), K 硬度 Indicates the concrete hardness coefficient, which is determined according to the concrete type and hardness grade. 设备 Indicates the performance parameters of drilling equipment, usually provided by the equipment manufacturer, η 润滑 Indicates the lubricant efficiency factor, taking into account the type and amount of lubricant used (in units expressed as a percentage), T 钻孔 Indicates drilling time (in minutes), φ 冷却 Indicates the cooling system efficiency coefficient, taking into account the performance and use of the cooling system (units expressed in percentage);

[0088] The computer system automatically adjusts the rotation speed expression:

[0089]

[0090] Where N 实时 Indicates the rotation speed after real-time adjustment (in rpm), ΔT 传感器 Indicates the time deviation of real-time monitoring (unit is percentage), ΔP 设备 Indicates the real-time coefficient of change of equipment performance (the unit is expressed as percentage);

[0091] Step S13 sets the impact frequency expression:

[0092]

[0093] In the formula, F 冲击 Indicates the set impact frequency (in times / minute), K 硬度 \) represents the concrete hardness coefficient, which is determined according to the concrete type and hardness grade, D 钻孔 Indicates the set drilling depth (in millimeters), λ 振动 represents the vibration attenuation coefficient, taking into account the propagation and attenuation of vibration in concrete (units are expressed in percentage), P 设备 Indicates the performance parameters of drilling equipment, usually provided by the equipment manufacturer, μ 冲击 It represents the impact energy coefficient, which takes into account the transfer efficiency of impact energy (the unit represents percentage);

[0094] The computer system automatically adjusts the impact frequency expression:

[0095]

[0096] In the formula, F 实时 Indicates the impact frequency after real-time adjustment (in times / minute), ΔD 传感器Indicates the real-time monitoring of the drilling depth deviation (unit is expressed as percentage), Δμ 冲击 Indicates the real-time change coefficient of impact energy (units are expressed as percentages); through these complex formulas and character interpretations, the preset parameter setting process of the drilling equipment becomes more precise and scientific, ensuring the efficiency and accuracy of the drilling operation;

[0097] Combine the formulas in the above steps to form a comprehensive formula and input it into the computer system;

[0098]

[0099] Where P 综合 It represents comprehensive parameters, which are used to input into the computer system to guide the operation of drilling equipment. 钻孔 Indicates the final set drilling depth (in millimeters), N 旋转 Indicates the set rotation speed (in revolutions per minute), F 冲击 Indicates the set impact frequency (in times / minute), ΔD 传感器 Indicates the real-time deviation of the displacement sensor feedback (in percentage), ΔT 环境 Indicates the influence coefficient of ambient temperature change on drilling depth (unit is percentage), ΔP 设备 Indicates the real-time change coefficient of equipment performance (unit is percentage), Δμ 冲击 Indicates the real-time change coefficient of impact energy (units are expressed as percentages); input the comprehensive parameters into the computer system, and the operating parameters of the drilling equipment will be automatically adjusted according to this parameter to ensure the efficiency and accuracy of the drilling operation. In this way, the preset parameter setting process of the drilling equipment becomes more precise and scientific, and can adapt to various complex working environments and material characteristics, ensuring the success and safety of the drilling operation.

[0100] Preferably, step S11 of this embodiment obtains the thickness of the concrete structure and the range of the carbonization depth, ensuring that the drilling depth is set within a reasonable range, neither too shallow to cause inaccurate detection nor too deep to waste resources; the drilling depth is set to the upper limit value of the expected carbonization depth range and increased by 10%-15%, and the setting method provides a certain safety margin for the drilling process to ensure that the expected carbonization depth can be covered while avoiding over-drilling; the set value is input into the computer system, and the intervention of the computer system makes the drilling process more intelligent, and can monitor and adjust the drilling depth in real time to ensure the accuracy and consistency of the operation; the computer system monitors the drilling depth in real time and feeds back data through the displacement sensor, and the real-time monitoring and feedback mechanism can promptly detect and correct deviations in the drilling process to ensure that the drilling depth meets the preset requirements. Step S12 selects the rotation speed range according to the concrete hardness and the performance of the drilling equipment, ensuring that the rotation speed matches the concrete hardness and the performance of the equipment, avoiding equipment damage or poor drilling effect caused by improper rotation speed; the rotation speed is set as a preset parameter and input into the computer system, and the automatic adjustment function of the computer system enables the rotation speed to be optimized according to the real-time situation, improving the drilling efficiency and quality, and the computer system automatically adjusts the rotation speed according to the real-time monitoring data, and the automatic adjustment mechanism can respond to the changes in the drilling process in real time, ensuring that the rotation speed is always in the best state. Step S13 selects the impact frequency range according to the concrete hardness and the drilling depth, ensuring that the impact frequency matches the concrete hardness and the drilling depth, avoiding poor drilling effect or equipment damage caused by improper impact frequency; the impact frequency is set as a preset parameter and input into the computer system, and the intervention of the computer system enables the impact frequency to be optimized according to the real-time situation, improving the drilling efficiency and quality; the computer system automatically adjusts the impact frequency according to the real-time monitoring data, and the automatic adjustment mechanism can respond to the changes in the drilling process in real time, ensuring that the impact frequency is always in the best state.

[0101] In summary, this embodiment ensures that the drilling equipment can efficiently and accurately complete the drilling task in various complex concrete structures through intelligent parameter setting and real-time adjustment, thereby improving work efficiency and quality. Through the above detailed preset parameter settings, the automation, precision and intelligent operation of the drilling equipment are guaranteed. The setting of each parameter has undergone rigorous experiments and data analysis to ensure the efficiency and accuracy of the detection process; this innovative parameter setting method not only improves the efficiency and accuracy of carbonization depth detection, but also realizes the standardization of the detection process and the visualization of data, meeting the needs of modern construction projects for high-precision detection.

[0102] Furthermore, if Figure 3 As shown, the process of automatically blowing away the concrete powder in the drill hole in step S2 specifically includes the following steps:

[0103] Step S21: Detect the density and speed of the blown powder, evaluate the distribution of the powder in the borehole, the computer system receives and analyzes the sensor data in real time, calculates the current distribution density and blowing difficulty of the powder in the borehole, and predicts the fan power required under the current conditions;

[0104] Among them, the prediction expression of wind turbine power is:

[0105]

[0106] Where P is the required fan power (unit: watt, W), K is a constant that depends on the efficiency and design parameters of the system, and ρ is the density of the powder (unit: kg / m3, kg / m 3 ), v is the speed of blowing out powder (unit: meter / second, m / s), D is the diameter of the drilled hole (unit: meter, m), α, β, γ are exponential parameters used to capture the nonlinear effects of density, speed and diameter on power, X i is the vector of other influencing factors, such as drilling depth, drilling angle, ambient temperature, ambient humidity, powder viscosity, etc., i is the weight coefficient of each influencing factor, and n is the total number of influencing factors. This expression can more accurately capture the complex relationship between variables by introducing exponential parameters and nonlinear relationships. By adjusting the exponential parameters and weight coefficients, it can better adapt to the dynamic changes under different operating conditions, thereby improving the accuracy and practicality of power prediction.

[0107] Step S22: according to the drilling depth and powder density, the initial power of the fan is set; according to the real-time data feedback, the power of the fan is dynamically adjusted; for example, if the powder density is detected to be high, the system will automatically increase the fan power to enhance the blowing force; otherwise, the power will be reduced to save energy;

[0108] Step S23: The fan power adjustment through closed-loop control is a continuous optimization process. After each adjustment, data is collected again and analyzed.

[0109] Preferably, in step S21 of this embodiment, detection and data analysis are performed to obtain the powder distribution in the borehole in real time through the depth sensor and powder density sensor to ensure the timeliness and accuracy of the data; the computer system analyzes the sensor data in real time, calculates the distribution density of the powder and the difficulty of blowing, and provides a scientific basis for the subsequent power adjustment; based on historical data and preset models, the fan power required under the current conditions is predicted to ensure that the initial power setting is reasonable and reduce the trial and error cost. Step S22 power setting and dynamic adjustment, according to the drilling depth and powder density, the initial power of the fan is set to ensure that there is sufficient blowing force when the blowing starts; according to real-time data feedback, the power of the fan is dynamically adjusted to ensure that the fan can always provide the best blowing effect under different powder density conditions. For example, when the powder density is high, the power is increased, and when the density is low, the power is reduced, which not only ensures the blowing effect, but also saves energy. Step S23 closed-loop control and continuous optimization, through the closed-loop control system, the fan power adjustment is a continuous optimization process. After each adjustment, the system will collect data again and analyze it to ensure the best blowing effect, forming a continuous optimization cycle; the system has a self-learning function, which can optimize and adjust the strategy according to the data of each operation, improve the efficiency and accuracy of future operations, and make the system more and more intelligent.

[0110] In summary, this embodiment ensures that the fan can always provide the best blowing effect under different conditions through real-time monitoring and dynamic adjustment, greatly improving the blowing efficiency; by intelligently adjusting the power, unnecessary energy consumption is avoided, and the goal of energy saving and environmental protection is achieved; the system has fault detection and safety mechanisms to ensure the safety and stability of operation, and prevent equipment damage or operation failure caused by excessive or insufficient power; through self-learning and closed-loop control, the system can continuously optimize the operation strategy and improve the overall intelligence level of operation. Through these steps, the automatic blowing process of this embodiment is not only efficient and accurate, but also safe and energy-saving, ensuring the smooth progress of carbonization depth detection; through this hierarchical and highly technical adaptive adjustment strategy, the fan can always maintain the best working state under different conditions, ensuring the accuracy and efficiency of carbonization depth detection.

[0111] Furthermore, if Figure 4 As shown, the process of real-time monitoring of the solution color change by the built-in camera in step S3 specifically includes the following steps:

[0112] Step S31: start the built-in camera, set the resolution and frame rate of the camera, and calibrate the displacement sensor; the camera collects the image of the phenolphthalein solution in real time, and transmits the image data to the computer system; pre-processes the collected image, including denoising and contrast enhancement, and uses a computer vision algorithm to analyze the color information in the image in real time to determine whether the solution turns purple;

[0113] Step S32: The computer system monitors the color change in the image in real time, and when it detects that the color of the solution changes from the initial state to purple-red, the feedback mechanism is triggered; the computer system automatically records the current drilling depth and compares it with the previous drilling depth without color change;

[0114] Step S33: The computer system automatically adjusts the parameters of the drilling equipment according to the color change; the computer system calculates the average value of the two drilling depths as the carbonization depth detection result; and records the drilling depth, the color change of the phenolphthalein solution and the carbonization depth in the database.

[0115] Preferably, step S31 of this embodiment performs camera initialization and image processing to ensure that the camera is in working condition and can stably collect image data; the camera starts to collect images of phenolphthalein solution in real time to provide a data basis for subsequent color change monitoring; the camera resolution and frame rate are set to optimize image quality and acquisition speed to ensure that slight changes in solution color can be captured; the image clarity and real-time performance are improved to reduce color recognition errors; the displacement sensor is calibrated to ensure the measurement accuracy of the displacement sensor and avoid data errors; the drilling depth is accurately recorded to provide reliable data for subsequent depth comparison. Real-time image acquisition, continuously obtain real-time images of phenolphthalein solution; provide a continuous data stream for color change monitoring. Image preprocessing, improve image quality through operations such as denoising and contrast enhancement; reduce image noise, enhance color contrast, and improve the accuracy of color recognition. Color recognition, using computer vision algorithms, real-time analysis of color information in the image to determine whether the solution has turned purple-red, providing a basis for subsequent feedback mechanisms. Step S32: color change detection and feedback, real-time monitoring of color changes in the image, continuous analysis of image data, and detection of color changes; timely discovery of solution color changes from the initial state to purple-red, triggering the feedback mechanism; triggering the feedback mechanism, and immediately triggering the corresponding control action when a color change is detected; recording the current drilling depth and comparing it with the previous drilling depth that has not changed color; recording the current drilling depth, accurately recording the drilling depth data, and providing data support for depth comparison and carbonization depth calculation; comparing the drilling depth, comparing the difference between the two drilling depths, and determining the drilling depth corresponding to the color change, providing a basis for carbonization depth detection. Step S33: parameter adjustment and result recording, dynamically adjusting the parameters of the drilling equipment according to the color change, optimizing the drilling efficiency and accuracy, and ensuring the stability and accuracy of the drilling process; reducing the measurement error by calculating the average value, and obtaining a more accurate carbonization depth detection result; storing the detection data in the database for subsequent analysis and report generation; saving the drilling depth, phenolphthalein solution color change, and carbonization depth data to provide support for long-term monitoring and analysis.

[0116] In summary, the present embodiment can realize real-time monitoring of solution color changes and automatically adjust drilling equipment parameters through the built-in camera and computer system, thereby improving the accuracy and efficiency of carbonization depth detection. The present embodiment can realize real-time monitoring of solution color changes and automatically adjust drilling equipment parameters through the above hierarchical steps, thereby improving the accuracy and efficiency of carbonization depth detection.

[0117] Further, the process of determining whether the solution turns purple in step S31 specifically includes the following steps:

[0118] Step S311: the built-in camera is started, and the appropriate resolution and frame rate are set according to the requirements. The camera starts to collect images of the phenolphthalein solution in real time and transmits the image data to the computer system; the collected images are pre-processed;

[0119] Step S312: converting the image from the RGB color space to the HSV color space; in the HSV color space, setting a threshold range of purple-red, the threshold range being an interval set according to the hue, saturation and brightness of purple-red;

[0120] Step S313: segment the preprocessed image and extract the solution area; use the set purple-red threshold to detect the color of the solution area; if the color of the solution area is detected to fall within the purple-red threshold range, it is determined that the solution has turned purple-red.

[0121] Preferably, step S311 of this embodiment starts the built-in camera and sets a suitable resolution and frame rate to ensure the clarity and real-time performance of image acquisition; the image of the phenolphthalein solution is acquired in real time, and the image data is transmitted to the computer system to provide basic data for processing; the image preprocessing step provides clear and stable image data for color space conversion and color detection; step S312 converts the image from the RGB color space to the HSV color space, making the color detection more intuitive and accurate; the threshold range of purple-red is set, and the interval is set according to the hue, saturation and brightness of purple-red to provide a clear judgment standard for color detection. Step S313 segments the preprocessed image, extracts the solution area, reduces background interference, and improves detection accuracy; uses the set purple-red threshold to detect the color of the solution area to determine whether the solution has turned purple-red; the computer system analyzes each frame of the image in real time, and once it detects that the solution color has turned purple-red, it immediately triggers the feedback mechanism to ensure the timeliness and accuracy of the detection result.

[0122] Furthermore, the process of triggering the feedback mechanism in step S32 specifically includes the following steps:

[0123] Step S321: By comparing with a preset color threshold, determining whether the solution changes from an initial state to purple-red;

[0124] Step S322: The computer system continuously monitors the color change in the image, and when it detects that the solution turns purple, the feedback mechanism is triggered;

[0125] Step S323: When the feedback mechanism is triggered, the computer system acquires the current drilling depth data from the displacement sensor, calibrates the acquired depth data, and records the calibrated depth data in the computer system.

[0126] Preferably, step S321 of this embodiment determines whether the solution changes from the initial state to purple-red by comparing with a preset color threshold, and ensures accurate identification of the solution color change by comparing with the preset color threshold; uses computer vision technology to accurately determine whether the solution changes from the initial state to purple-red, providing a reliable basis for the subsequent triggering of the feedback mechanism. The significance achieved: ensure accurate identification of color changes, avoid false triggering and unnecessary operations, and improve the reliability and accuracy of the system. Step S322 The computer system continuously monitors the color changes in the image, and triggers the feedback mechanism when it detects that the solution has changed to purple-red; the computer system monitors the color changes in the image in real time, and once it detects that the solution has changed to purple-red, it immediately triggers the feedback mechanism, and through continuous monitoring and rapid response, ensures that the feedback mechanism is triggered at the first time of the color change. The significance achieved: timely respond to the change in the color of the solution, ensure that the feedback mechanism is triggered at the first time of the color change, improve the response speed and accuracy of the system, and avoid errors caused by delays. Step S323: When the feedback mechanism is triggered, the computer system obtains the current drilling depth data from the displacement sensor, calibrates the obtained depth data, and records the calibrated depth data in the computer system; when the feedback mechanism is triggered, the current drilling depth data is obtained from the displacement sensor, and the accuracy of the data is ensured through data calibration, and the calibrated depth data is recorded in the system to ensure accurate recording of the drilling depth and avoid the influence of data errors on the carbonization depth detection results. The significance achieved: ensure accurate recording of the drilling depth, provide a reliable basis for data comparison and processing, avoid the influence of data errors on the carbonization depth detection results, and improve the accuracy and reliability of the system.

[0127] In summary, this embodiment can not only accurately and efficiently trigger the feedback mechanism and automatically record the current drilling depth, but also ensure the accuracy and reliability of carbonization depth detection, providing strong technical support for engineering practice. The technical effects and significance of each step together constitute the basis for the efficient and reliable operation of the system.

[0128] Furthermore, in step S33, the process in which the computer system calculates the average value of the two drilling depths specifically includes the following steps:

[0129] Step S331: The computer system obtains two drilling depth data, namely the drilling depth D1 in the initial state without color change and the drilling depth D2 after color change;

[0130] The weighted average method is used to calculate the carbonization depth. The specific formula is as follows:

[0131]

[0132] Among them, q1 and w2 are the weight coefficients of D1 and D2, respectively, which are dynamically adjusted according to the accuracy of the drilling equipment and environmental conditions;

[0133] Step S332: dynamically adjusting the weight coefficient through a linear regression model according to the real-time monitored environmental parameters (such as temperature, humidity, etc.) and device status;

[0134] Step S333: After calculating the average value, potential system errors are identified and corrected through statistical methods to ensure the carbonization depth detection results.

[0135] Preferably, step S331 of this embodiment obtains the drilling depth data and calculates the weighted average value, and obtains the drilling depth data (D1 and D2) twice in real time through the sensor to ensure the real-time and accuracy of the data; the weighted average method is used to calculate the carbonization depth, and the influence of the drilling depth under different states on the final result is considered, thereby improving the accuracy of the calculation result. The significance achieved: through the weighted average method, the drilling depth in the initial state and after the color change is comprehensively considered, avoiding the error that may be caused by a single data point, and improving the accuracy of the carbonization depth detection; obtaining the drilling depth data twice ensures the double verification of the data and enhances the reliability of the data. Step S332 dynamically adjusts the weight coefficient according to the real-time monitored environmental parameters and equipment status, and monitors the environmental parameters such as temperature and humidity in real time to ensure that the influence of environmental changes on the drilling depth is accurately captured; the weight coefficient is dynamically adjusted through the linear regression model, so that the weight coefficient can change in real time according to the actual environmental conditions and equipment status, thereby improving the adaptability and accuracy of the weight coefficient. Significance achieved: Dynamically adjust the weight coefficient so that the system can adapt to different environmental conditions and equipment states, thereby improving the robustness and adaptability of the system; by adjusting the weight coefficient in real time, the accuracy of carbonization depth detection is further improved, ensuring the accuracy of the results. Step S333 identifies and corrects potential system errors through statistical methods, and uses statistical methods (such as t-test or chi-square test) to identify significant errors in the calculation results to ensure the reliability of the data; corrects potential system errors through error correction algorithms (such as Bayesian correction or Kalman filtering) to improve the accuracy of the calculation results. Significance achieved: By identifying and correcting potential system errors, the accuracy of carbonization depth detection results is ensured, and error accumulation and propagation are avoided; through statistical methods and error correction algorithms, the reliability and stability of the system are improved, ensuring data consistency in long-term operation.

[0136] In summary, this embodiment ensures high precision of carbonization depth detection through multi-step data processing and error correction, meeting the high requirements of engineering and scientific research; the system can dynamically adjust according to real-time environmental parameters and equipment status, has strong adaptability and robustness, and is suitable for various complex environments; through multiple data verification and error correction, it ensures high reliability of data, providing a solid foundation for subsequent analysis and decision-making. This enables the computer system to provide high-precision and high-reliability results in carbonization depth detection, meeting various engineering and scientific research needs.

[0137] like Figure 5 As shown, this embodiment also provides an embodiment of a carbonization depth detection system. In this embodiment, the carbonization depth detection system is applied to the carbonization depth detection method in the above embodiment. The carbonization depth detection system includes a parameter setting module 1, a depth acquisition module 2, and a result output module 3 which are electrically connected in sequence;

[0138] Among them, the parameter setting module 1 is used to start the drilling equipment with impact and rotation functions, and automatically drill according to the preset parameters, which include drilling depth, rotation speed and impact frequency; the drilling depth is monitored in real time during the drilling process, and the data is fed back to the computer system through the displacement sensor; the depth acquisition module 2 is used to automatically collect concrete powder samples when drilling to a certain depth; then start the built-in fan to automatically blow away the concrete powder in the borehole; measure the current drilling depth through the displacement sensor, and the computer system automatically records the current drilling depth; the result output module 3 is used for the computer system to control the automatic addition of alcohol phenolphthalein solution into the container, and monitor the color change of the solution in real time through the built-in camera; if the solution does not turn purple-red, the computer system automatically adjusts the drilling equipment parameters and continues drilling; when the phenolphthalein solution turns purple-red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth that has not changed color; calculate the average value of the two drilling depths as the carbonization depth detection result; automatically generate a detection report, including drilling depth, phenolphthalein solution color change, carbonization depth and other data, and display it on the terminal in the form of a visual chart.

[0139] Preferably, the parameter setting module 1 of this embodiment automatically starts the drilling equipment through preset parameters to realize the automation of the drilling process and reduce the error of human operation; the drilling depth is monitored in real time during the drilling process, and the data is fed back to the computer system through the displacement sensor to ensure the real-time and accuracy of the data. The significance achieved: Automated control and real-time monitoring greatly improve the efficiency of the drilling process and reduce the time and cost of manual intervention; through real-time monitoring and feedback, the accuracy of the drilling depth data is ensured, and reliable basic data is provided for carbonization depth detection. When the depth acquisition module 2 drills to a certain depth, it automatically collects concrete powder samples to ensure the representativeness and consistency of the samples; starts the built-in fan to automatically blow away the concrete powder in the borehole to ensure the cleanliness of the inside of the borehole and provide a good environment for operation; measures the current drilling depth through the displacement sensor, and the computer system automatically records the current drilling depth to ensure the accuracy of the data. The significance achieved: The automatic acquisition and cleaning function ensures the quality and consistency of the samples and avoids the errors that may be caused by human operation; through automatic measurement and recording of the drilling depth, the high reliability of the data is ensured, and accurate data support is provided for carbonization depth detection. Result output module 3 The computer system controls the automatic addition of alcohol phenolphthalein solution into the container to ensure the accuracy and consistency of solution addition; the color change of the solution is monitored in real time through the built-in camera to ensure the real-time capture and recording of the color change; if the solution does not turn purple-red, the computer system automatically adjusts the parameters of the drilling equipment and continues drilling to ensure the accurate detection of the carbonization depth; when the phenolphthalein solution turns purple-red, the computer system automatically records the current drilling depth and compares it with the previous undiscolored drilling depth, and calculates the average of the two drilling depths as the carbonization depth detection result; the detection report is automatically generated, including the drilling depth, the color change of the phenolphthalein solution, the carbonization depth and other data, and is displayed in the terminal in the form of a visual chart, which is convenient for users to view and analyze. Significance achieved: By automatically adding solution, real-time monitoring and automatic adjustment of parameters, the high accuracy of carbonization depth detection is ensured, and the errors that may be caused by human operation are avoided; the detection report is automatically generated and displayed in the form of a visual chart, which is convenient for users to intuitively view and analyze the detection results, and the readability and usability of the data are improved; the automation of the entire detection process greatly improves the detection efficiency and accuracy, reduces the time and cost of manual intervention, and improves the quality and efficiency of the overall detection work.

[0140] In summary, this embodiment ensures the high precision of carbonization depth detection through automated control, real-time monitoring and automatic adjustment of parameters, meeting the high requirements of engineering and scientific research; the automation of the entire detection process greatly improves the detection efficiency and accuracy, reduces the time and cost of manual intervention, and improves the quality and efficiency of the overall detection work; through multiple data verifications and automatic recording, the high reliability of the data is ensured, providing a solid foundation for subsequent analysis and decision-making.

[0141] like Figure 6-Figure 9 As shown, this embodiment also provides an embodiment of a carbonization depth detection device. In this embodiment, the carbonization depth detection device is applied to the carbonization depth detection system in the above embodiment. The carbonization depth detection device includes a concrete structure to be detected 4, a drilling device 5, a sampling rod 6, concrete powder 7, a phenolphthalein alcohol solution 8, a blower (exhaust) fan 9, a label 10, a reagent filling scale line 11, and a viscous material 12;

[0142] In which, an alcohol phenolphthalein solution 8 is added to the bottom of the test bag using a dropper, and the amount of the reagent just reaches the reagent filling scale line 11 or the number of solution drops marked on the test bag. The reagent can be injected into multiple test bags at a time for standby use according to the workload of the day; a drilling device 5 is used for drilling, and the drill bit is kept perpendicular to the surface of the concrete structure 4 to be tested during the drilling process, and the drilling depth is preferably 5mm to 10mm; the drill bit of the drilling device 5 is gently pulled out from the concrete structure 4 to be tested, and concrete powder is avoided as much as possible during the process; one side of the enlarged head of the sampling rod 6 is extended into the deep part of the drill hole, as far as possible. Dip the concrete powder 7 near the deepest part of the borehole, make sure that the sticky material 12 on the surface of the expanded head adheres to enough concrete powder 7, then pull out the sampling rod 6; insert the expanded head side of the sampling rod 6 into the test bag, gently rotate the sampling rod 6, so that the test bag dripped with alcohol phenolphthalein solution 8 allows the concrete powder 7 to be completely soaked by the solution; use a hair dryer (or exhaust fan) 9 to blow (or exhaust) all the concrete powder 7 remaining in the current borehole, clean the concrete powder 7 on the surface of the drill bit of the drilling equipment 5, and there is no obvious accumulation of concrete powder 7; measure the current drilling depth value h i The depth value is written on the label 10 of the test bag; if the alcohol phenolphthalein solution 8 turns purple-red, the operation is stopped, and the drilling and sampling are no longer continued; if the alcohol phenolphthalein solution 8 does not turn purple-red or the color change is not obvious, the current hole is continued to be drilled, and the above steps are repeated until the depth that turns purple-red is found; finally, the first color-changing drilling depth h is used as the drilling depth. k and the previous unchanged depth h k+1 The average value is taken as the carbonization depth detection result.

[0143] In this embodiment, the drilling equipment 2 adopts an impact + rotation drilling mode, which has a higher drilling efficiency inside the concrete structure 4 to be tested; the drill bit diameter ranges from 8mm to 12mm, and can be adjusted according to the aggregate diameter of the concrete structure 4 to be tested. The larger the aggregate diameter, the larger the diameter of the drill bit should be selected accordingly; the surface of the expanded head of the sampling rod 6 is made of a viscous material that will not affect the pH of the concrete powder, and the color of the expanded head of the sampling rod 6 is white, so as to observe the color change of the concrete powder 7; a signed label 10 is attached to the test bag, and the depth corresponding to the current sample can be written on the label 10; one side of the test bag is white, which is convenient for comparing the color change of the phenolphthalein solution; a scale line for filling the alcohol phenolphthalein solution 8 is drawn on the test bag, which is convenient for users to add an appropriate amount of reagent solution; adding reagent according to this scale line, the reagent can just soak all the powder at the expanded head of the sampling rod 6; the upper part of the test bag is trumpet-shaped, which is convenient for the insertion of the sampling rod 6, and the lower part is slightly larger than the expanded head of the sampling rod 6. The use of the test bag can save the time of spraying phenolphthalein reagent and prevent the current sample from being contaminated by the subsequent drilled concrete powder 7 or other substances in the air. When using the test bag for testing, just insert the enlarged head side of the sampling 6 into the test bag and then check the color change of the concrete powder 7.

[0144] In this embodiment, concrete powder 7 is obtained by drilling, and the concrete powder 7 is tested with a phenolphthalein reagent to obtain a method for obtaining a carbonization depth; the concrete powder 7 is sampled by a "segmented sampling-segmented testing-segmented cleaning" method to prevent concrete powders 7 from interfering with each other in different segments. A sampling rod 6 test bag is used in the sampling process.

[0145] Preferably, the present embodiment uses an impact + rotation drilling mode, which improves the drilling efficiency of the drilling equipment inside the concrete structure and reduces the drilling time; injects reagents into multiple test bags at one time for standby use, saves the time for spraying phenolphthalein reagents, and improves the overall detection efficiency; the enlarged head design of the sampling rod ensures that the concrete powder close to the deepest part of the borehole can be dipped, thereby improving the accuracy of sampling; the design of the test bag enables the concrete powder to be completely infiltrated by the solution, thereby ensuring the accuracy of the test results; the flared design of the test bag facilitates the insertion of the sampling rod, while preventing the subsequent drilled concrete powder or other substances in the air from contaminating the current sample ; The method of segmented sampling, segmented testing and segmented cleaning effectively prevents the concrete powders of different segments from interfering with each other, ensuring the independence and purity of each sample; the test bag is painted with scale lines for filling with alcohol phenolphthalein solution, which is convenient for users to add appropriate amounts of reagent solution and simplifies the operation process; the white surface design of the test bag is convenient for comparing the color change of phenolphthalein solution and simplifies the observation and judgment of the test results; by measuring the drilling depth value and recording it on the label, the accurate recording and traceability of the data are ensured; the average value of the first color-changing drilling depth and the previous non-color-changing depth is used as the carbonization depth detection result, which improves the reliability of the detection result.

[0146] In summary, the carbonization depth detection device of this embodiment improves detection efficiency, ensures sampling accuracy, prevents sample contamination, simplifies operation procedures, and improves data reliability through optimized design, thereby providing a more scientific, efficient and reliable technical means for carbonization depth detection of concrete structures.

[0147] like Fig.10 As shown, this embodiment provides an embodiment of an electronic device. In this embodiment, the electronic device 13 includes a processor 131 and a memory 132 coupled to the processor 131 .

[0148] The memory 132 stores program instructions for implementing the carbonization depth detection method of any of the above embodiments.

[0149] The processor 131 is used to execute program instructions stored in the memory 132 to perform carbonization depth detection.

[0150] The processor 131 may also be referred to as a CPU (Central Processing Unit). The processor 131 may be an integrated circuit chip having signal processing capabilities. The processor 131 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0151] Further, Fig.11 The schematic diagram of the structure of the storage medium of an embodiment of the present application is that the storage medium 14 of the embodiment of the present application stores program instructions 141 that can implement all the above methods, wherein the program instructions 141 can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0152] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0153] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional units. The above is only an implementation mode of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present invention.

[0154] The specific implementation methods of the invention are described in detail above, but they are only examples, and the invention is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the invention, therefore, the equalization, modification, improvement, etc. made without departing from the spirit and principle of the invention should be included in the scope of the invention.

Claims

1. A carbonization depth detection method, characterized in that: The carbonization depth detection method comprises: Start the drilling equipment with impact and rotation functions, and automatically drill according to preset parameters, including drilling depth, rotation speed and impact frequency; monitor the drilling depth in real time during the drilling process, and feed back the data to the computer system through the displacement sensor; When drilling to a certain depth, concrete powder samples are automatically collected; then the built-in fan is started to automatically blow away the concrete powder in the drilled hole; the current drilling depth is measured by the displacement sensor, and the computer system automatically records the current drilling depth; The computer system controls the automatic addition of alcohol phenolphthalein solution into the container, and monitors the solution color change in real time through the built-in camera; if the solution does not turn purple-red, the computer system automatically adjusts the drilling equipment parameters and continues drilling; when the phenolphthalein solution turns purple-red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth that did not change color; the average of the two drilling depths is calculated as the carbonization depth detection result; The test report is automatically generated, including data such as drilling depth, color change of phenolphthalein solution, carbonization depth, etc., and displayed on the terminal in the form of a visual chart.

2. The carbonization depth detection method according to claim 1, characterized in that: The preset parameter setting process of the drilling equipment includes: Obtain the thickness and carbonization depth range of the concrete structure to be tested, set the drilling depth to the upper limit of the expected carbonization depth range, and increase the drilling depth by 10%-15%; input the set value into the computer system as the preset parameter of the drilling equipment; the computer system monitors the drilling depth in real time and feeds back the data through the displacement sensor; According to the hardness of the concrete and the performance of the drilling equipment, a rotation speed range is selected, the rotation speed is set as a preset parameter, and input into the computer system; the computer system automatically adjusts the rotation speed according to the real-time monitoring data; According to the hardness of the concrete and the drilling depth, the impact frequency range is selected, the impact frequency is set as a preset parameter, and input into the computer system; the computer system automatically adjusts the impact frequency according to the real-time monitoring data.

3. The carbonization depth detection method according to claim 1, characterized in that: The process of automatically blowing away concrete powder in the drilled hole includes: Detect the density and speed of the blown powder and evaluate the distribution of the powder in the borehole. The computer system receives and analyzes the sensor data in real time, calculates the current distribution density and blowing difficulty of the powder in the borehole, and predicts the fan power required under the current conditions. Set the initial power of the fan according to the drilling depth and powder density; dynamically adjust the power of the fan according to real-time data feedback; Adjusting the fan power through closed-loop control is a continuous optimization process. After each adjustment, data is collected and analyzed again.

4. The carbonization depth detection method according to claim 3, characterized in that: in, The prediction expression of wind turbine power is: Where P is the required fan power, K is a constant that depends on the efficiency and design parameters of the system, ρ is the density of the powder, v is the speed of blowing out the powder, D is the diameter of the drilled hole, α, β, γ are exponential parameters used to capture the nonlinear effects of density, speed and diameter on power, and X i is the vector of other influencing factors, including drilling depth, drilling angle, ambient temperature, ambient humidity, powder viscosity, λ i is the weight coefficient of each influencing factor, and n is the total number of influencing factors.

5. The carbonization depth detection method according to claim 1, characterized in that: The built-in camera monitors the solution color change process in real time, including: Start the built-in camera, set the camera resolution and frame rate, and calibrate the displacement sensor; the camera collects images of the phenolphthalein solution in real time and transmits the image data to the computer system; pre-process the collected images, including denoising and contrast enhancement, and use computer vision algorithms to analyze the color information in the image in real time to determine whether the solution has turned purple-red; The computer system monitors the color changes in the image in real time. When it detects that the solution color changes from the initial state to purple-red, the feedback mechanism is triggered; the computer system automatically records the current drilling depth and compares it with the previous drilling depth without color change; According to the color change, the computer system automatically adjusts the parameters of the drilling equipment; the computer system calculates the average value of the two drilling depths as the carbonization depth detection result; and records the data such as the drilling depth, the color change of the phenolphthalein solution and the carbonization depth in the database.

6. The carbonization depth detection method according to claim 5, characterized in that: The process of judging whether the solution turns purple-red includes: The built-in camera is activated, and the appropriate resolution and frame rate are set according to the requirements. The camera starts to collect images of the phenolphthalein solution in real time and transmits the image data to the computer system; the collected images are pre-processed; Convert the image from RGB color space to HSV color space; in HSV color space, set a threshold range of purple-red, which is an interval set according to the hue, saturation and brightness of purple-red; The preprocessed image is segmented to extract the solution area; the color of the solution area is detected using the set purple-red threshold; if the color of the solution area is detected to fall within the purple-red threshold range, it is determined that the solution has turned purple-red.

7. The carbonization depth detection method according to claim 5, characterized in that: The process of triggering the feedback mechanism includes: By comparing with a preset color threshold, it is determined whether the solution changes from an initial state to purple-red; The computer system continuously monitors the color changes in the image and detects that the solution has turned purple, triggering a feedback mechanism; When the feedback mechanism is triggered, the computer system acquires the current drilling depth data from the displacement sensor, calibrates the acquired depth data, and records the calibrated depth data in the computer system.

8. The carbonization depth detection method according to claim 5, characterized in that: The process by which the computer system calculates the average of two drilling depths includes: The computer system obtains two drilling depth data, namely the drilling depth D1 in the initial state without color change and the drilling depth D2 after color change; The weighted average method is used to calculate the carbonization depth. The specific formula is as follows: Among them, w1 and w2 are the weight coefficients of D1 and D2, respectively, which are dynamically adjusted according to the accuracy of the drilling equipment and environmental conditions; Dynamically adjust the weight coefficient according to the real-time monitored environmental parameters and equipment status; After calculating the average value, potential systematic errors are identified and corrected to ensure accurate carbonation depth detection results.

9. A carbonization depth detection system, applied to the carbonization depth detection method according to any one of claims 1 to 8, characterized in that: The carbonization depth detection system comprises: A parameter setting module is used to start the drilling equipment with impact and rotation functions, and automatically drill according to preset parameters, including drilling depth, rotation speed and impact frequency; the drilling depth is monitored in real time during the drilling process, and the data is fed back to the computer system through the displacement sensor; The depth collection module is used to automatically collect concrete powder samples when drilling to a certain depth; then start the built-in fan to automatically blow away the concrete powder in the drilled hole; the current drilling depth is measured by the displacement sensor, and the computer system automatically records the current drilling depth; The result output module is used for the computer system to control the automatic addition of alcohol phenolphthalein solution into the container, and monitor the color change of the solution in real time through the built-in camera; if the solution does not turn purple-red, the computer system automatically adjusts the parameters of the drilling equipment and continues drilling; when the phenolphthalein solution turns purple-red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth that has not changed color; calculates the average of the two drilling depths as the carbonization depth detection result; automatically generates a detection report, including the drilling depth, the color change of the phenolphthalein solution, and the carbonization depth data, and displays it in the form of a visual chart on the terminal.

10. A carbonization depth detection device, applied to the carbonization depth detection method according to any one of claims 1 to 8, characterized in that: The carbonization depth detection device comprises: a concrete structure to be detected, a drilling device, a sampling rod, concrete powder, a phenolphthalein alcohol solution, a hair dryer, a label, a reagent filling scale, and a viscous material; Among them, alcohol phenolphthalein solution is filled at the bottom of the test bag, and a reagent filling scale line is set on the test bag. The drill bit of the drilling equipment is perpendicular to the surface of the concrete structure to be tested, and the enlarged head of the sampling rod is extended into the deep part of the borehole to dip into the concrete powder; the enlarged head of the sampling rod is inserted into the test bag, and the hair dryer blows out the concrete powder remaining in the current borehole, and the depth value is written on the label of the test bag.

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