A method, system and device for detecting carbonization depth

Abstract

The present application relates to the technical field of depth measurement, and discloses a carbonation depth detection method, system and device, the method comprising starting a drilling device containing impact and rotation functions, automatically drilling according to preset parameters, the preset parameters containing drilling depth, rotation speed and impact frequency, etc.; when drilling to a certain depth, automatically collecting a concrete powder sample; then starting a built-in air blower to automatically blow the concrete powder in the drilling clean; a computer system controls automatic addition of alcohol phenolphthalein solution into a container, and monitors the color change of the solution in real time through a built-in camera; the average of the drilling depths of two times is calculated as the carbonation depth detection result; a detection report is automatically generated. The system contains a parameter setting module, a depth acquisition module and a result output module. The present application realizes the automation, precision and intelligence of carbonation depth detection; not only improves the accuracy and efficiency of detection, but also realizes the standardization of the detection process and the visualization of data.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of depth measurement, in particular to a carbonation depth detection method, system and device. BACKGROUND

[0002] The carbonation depth of concrete is an important indicator reflecting the corrosion of concrete. The conventional detection method is to drill a hole on the surface of the concrete with a chisel, spray phenolphthalein alcohol solution into the hole, and then measure the carbonation interface with a carbonation depth measuring instrument. For the case of small carbonation depth of concrete (depth within 2 cm), it is relatively convenient to test by chiseling; at present, many civil engineering projects in operation period in China have a long construction time, and the carbonation depth of concrete structures is mostly 2 cm or more. Using the conventional chiseling method to detect the carbonation depth of concrete structures with a carbonation depth of 2 cm or more not only takes time and effort, but also causes great damage to the surface of the concrete, affecting the visual quality of the concrete.

[0003] Prior art one, Chinese patent, application number CN201821563183.8 discloses a concrete carbonation depth measuring instrument, which relates to the field of civil air defense department detection, and aims to solve the problem that the concrete surface needs to be ground flat before operation when it is uneven. The technical key points are that a concrete carbonation depth measuring instrument includes a body and a measuring end in contact with the surface of the measured object, and a measuring head sliding through the measuring end. At least three contacts are arranged on the measuring end. Although it has the effect of directly measuring without polishing when the concrete surface is uneven. However, it does not consider the work efficiency and damage to the project under the condition of large carbonation depth.

[0004] Prior art two, Chinese patent, application number CN202321367212.4 discloses a portable carbonation depth measuring instrument for preventing measurement deviation. The upper surface of the main body is provided with an anti-skid mechanism on one side of the measuring head. The anti-skid mechanism includes a mounting bracket mounted on the outside of the carbonation depth measuring instrument main body by screws, and an anti-skid plate arranged on the upper surface of the mounting bracket. The rear surface of the carbonation depth measuring instrument main body is provided with a connecting plate mounted by screws. The front surface of the connecting plate is connected with a fixed plate on both sides of the carbonation depth measuring instrument main body, and the rear surface of the connecting plate is provided with a first binding tape and a second binding tape from left to right. Although the first and second anti-skid areas on the anti-skid plate can improve the stability of the carbonation depth measuring instrument main body during use, and avoid the deviation of the carbonation depth measuring instrument main body during use, which affects the carbonation depth measurement. However, the chiseling work is time-consuming and laborious, and the efficiency is low, which will cause great damage to the surface of the concrete and affect the visual quality of the concrete.

[0005] The prior art three, Chinese patent, application number CN202121756988.6 discloses a kind of digital carbonization depth measuring instrument, including carbonization depth measuring instrument main part and lithium battery, the top of main part is provided with protective cover, the bottom of carbonization depth measuring instrument main part is provided with protective corner on left and right sides, right side upper surface is provided with charging end, the right side of main part is provided with measuring button, rear end is provided with protective cover, the rear end of main part is provided with battery groove. Although by the charging end and lithium battery of being set, power is delivered to lithium battery inside by charging end, and then stored in battery inside, and battery can be repeatedly used, to reduce environmental pollution, so that the equipment can be repeatedly used when using, and the pollution to environment is reduced.But chiseling work is time-consuming and laborious, low in efficiency, and it will cause great damage to the surface of concrete, affecting the visual quality of concrete.

[0006] At present, the prior art one, the prior art two and the prior art three are mainly aimed at improving the measurement accuracy and work convenience after chiseling of concrete, and the structure and function are relatively simple, which affects the improvement of the intelligent degree of the equipment; the working efficiency of the chiseling method and the damage to the project under the condition of large carbonization depth are not considered, the conventional chiseling method is used for carbonization depth detection of concrete structure with carbonization depth of 2cm and above, which not only is time-consuming and laborious, but also causes great damage to the surface of concrete, affecting the visual quality of concrete. Therefore, a detection method with high working efficiency and capable of reducing damage to the surface of concrete for concrete with carbonization depth of 2cm and above is needed. SUMMARY

[0007] The main purpose of the present application is to provide a carbonization depth detection method, system and device to solve the problems of simple structure and function in the prior art, which affects the improvement of the intelligent degree of the equipment; and time-consuming and laborious chiseling work.

[0008] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

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

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

[0011] When drilling to a certain depth, automatically collect the concrete powder sample; then start the built-in air blower to automatically blow the concrete powder in the drilling hole clean; measure the current drilling depth through the displacement sensor, and the computer system automatically records the current drilling depth;

[0012] The computer system controls 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 change to purple red, the computer system automatically adjusts the drilling equipment parameters and continues drilling; when the phenolphthalein solution changes to purple red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth which does not change; the average value of the two drilling depths is calculated as the carbonation depth detection result;

[0013] An automatic detection report is generated, containing drilling depth, phenolphthalein solution color change, carbonation depth and other data, and is displayed in the form of a visual chart on the terminal.

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

[0015] The thickness and carbonation depth range of the concrete structure to be detected are obtained, the drilling depth is set as the upper limit value of the expected carbonation depth range, and the drilling depth is increased by 10%-15%; the set value is input 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 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 is input into the computer system; the computer system automatically adjusts the rotation speed according to real-time monitoring data;

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

[0018] As a further improvement of the present application, the process of automatically blowing away the concrete powder in the drilling hole comprises:

[0019] The density and speed of the blown powder are detected, the distribution of the powder in the drilling hole is evaluated, the computer system receives and analyzes sensor data in real time, calculates the distribution density of the powder in the current drilling hole and the difficulty of blowing away, and predicts the required fan power under the current conditions;

[0020] According to the drilling depth and the powder density, the initial power of the fan is set; according to real-time data feedback, the power of the fan is dynamically adjusted;

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

[0022] As a further improvement of the present application, wherein the prediction expression of the fan power is:

[0023]

[0024] wherein, represents the required fan power, is a constant depending on the efficiency of the system and design parameters, is the density of the powder, is the velocity of the blown powder, is the diameter of the borehole, , is an exponential parameter to capture the non-linear influence of density, velocity and diameter on power, is a set of other influencing factors, containing borehole depth, borehole angle, ambient temperature, ambient humidity, powder viscosity, is the weight coefficient of each influencing factor, is the total number of influencing factors.

[0025] As a further improvement of the present invention, the built-in camera monitors the color change of the solution in real time, including:

[0026] The built-in camera is started, the resolution and frame rate of the camera are set, and the displacement sensor is calibrated; the camera collects images of the phenolphthalein solution in real time, and transmits the image data to the computer system; the collected images are preprocessed, including denoising and contrast enhancement, etc. The color information in the image is analyzed in real time using computer vision algorithm, and it is judged whether the solution becomes purple red;

[0027] The computer system monitors the color change in the image in real time, and triggers the feedback mechanism when it detects that the color of the solution changes from the initial state to purple red; the computer system automatically records the current drilling depth, and compares it with the drilling depth of the previous uncolored hole;

[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 drilling depths of the two times as the carbonization depth detection result; the drilling depth, the discoloration of the phenolphthalein solution and the carbonization depth are recorded in the database.

[0029] As a further improvement of the present invention, the process of judging whether the solution becomes purple red includes:

[0030] 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 preprocessed;

[0031] The image is converted from RGB color space to HSV color space; in the HSV color space, a threshold range of purple red is set, and the threshold range is set as an interval according to the hue, saturation and lightness of purple red;

[0032] ​Segment the pre-processed image to 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 falls within the purple-red threshold range, it is determined that the solution has turned purple-red.

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

[0034] By comparing with the preset color threshold, it is determined whether the solution has turned purple-red from the initial state;

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

[0036] At the same time of triggering the feedback mechanism, 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.

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

[0038] The computer system obtains two drilling depth data, respectively the drilling depth in the initial uncolored state and the drilling depth after color change ;

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

[0040]

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

[0042] According to the real-time monitored environmental parameters and equipment state, the weight coefficients are dynamically adjusted;

[0043] After calculating the average value, potential systematic errors are identified and corrected to ensure the accuracy of the carbonization depth detection result.

[0044] To achieve the above-mentioned purposes, the present application also provides the following technical solutions:

[0045] A carbonization depth detection system applied to the carbonization depth detection method, the carbonization depth detection system comprising:

[0046] A parameter setting module is configured to start the drilling device with impact and rotation functions, and to automatically drill according to preset parameters, wherein the preset parameters include drilling depth, rotation speed and impact frequency; the drilling depth is monitored in real time during the drilling process, and the displacement sensor feeds back data to the computer system;

[0047] A depth collection module is configured to automatically collect a concrete powder sample when drilling to a certain depth; the built-in air blower is started to automatically blow the concrete powder in the drilling hole; the current drilling depth is measured by the displacement sensor, and the computer system automatically records the current drilling depth;

[0048] A result output module is configured to control the computer system to automatically add the alcohol phenolphthalein solution into the container, and to monitor the color change of the solution in real time through the built-in camera; if the solution does not change to purple red, the computer system automatically adjusts the drilling device parameters and continues to drill; when the phenolphthalein solution changes to purple red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth which does not change; the average value of the two drilling depths is calculated as the carbonation depth detection result; a detection report is automatically generated, including drilling depth, phenolphthalein solution color change, carbonation depth data, and is displayed in a visual chart form on the terminal.

[0049] To achieve the above object, the application further provides the following technical scheme.

[0050] A carbonation depth detection device applied to the carbonation depth detection method, the carbonation depth detection device comprising: a concrete structure to be detected, a drilling device, a sampling rod, concrete powder, a phenolphthalein alcohol solution, a blower, a label, a reagent filling scale line and a viscous material.

[0051] The bottom of the test bag is filled with the alcohol phenolphthalein solution, the test bag is provided with the reagent filling scale line, the drill bit of the drilling device is perpendicular to the surface of the concrete structure to be detected, one side of the enlarged head of the sampling rod is inserted into the deep drilling hole to dip the concrete powder; one side of the enlarged head of the sampling rod is inserted into the test bag, the blower blows the residual concrete powder in the current drilling hole, and the depth value is written on the label of the test bag.

[0052] The application starts the drilling equipment with impact and rotation functions, automatically drills through 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 the displacement sensor, and ensures the accuracy of the drilling depth. The significance achieved: ensure the automation and accuracy of the drilling process, improve the accuracy and efficiency of the detection, and reduce human error. When drilling to a certain depth, automatically collect the concrete powder sample, automatically collect the concrete powder sample, ensure the integrity and representativeness of the sample; start the built-in fan to automatically clean the powder in the drilling hole, ensure that there is no residue in the drilling hole; measure the current drilling depth through the displacement sensor, and the computer system automatically records. The significance achieved: ensure that there is no residue in the drilling hole to provide a clean environment for detection; accurately measure and record the drilling depth to provide accurate data for subsequent carbonation depth calculation. The computer system controls the automatic addition of alcohol phenolphthalein solution to the container, and monitors the color change of the solution in real time through the built-in camera; if the solution does not change to purple red, the computer system automatically adjusts the drilling equipment parameters and continues to drill; 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 does not change color, calculates the average value of the two drilling depths as the carbonation depth detection result. The significance achieved: realize the automatic addition of phenolphthalein solution and real-time monitoring of color change, ensure the accurate detection of carbonation depth; by automatically adjusting the drilling parameters, improve the efficiency and accuracy of the detection. Automatically generate a detection report, automatically generate a detection report containing drilling depth, phenolphthalein solution discoloration, carbonation depth and other data, and display it in the terminal in the form of a visual chart. The significance achieved: provide detailed detection data and visual charts for user analysis and archiving; improve the visualization and understandability of the detection results, making it easy for users to quickly grasp the detection situation. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 The step flowchart diagram of an embodiment of the carbonation depth detection method of the application;

[0054] Figure 2 The step flowchart diagram of the preset parameter setting of the drilling equipment of an embodiment of the carbonation depth detection method of the application;

[0055] Figure 3 The step flowchart diagram of automatically blowing the concrete powder in the drilling hole clean of an embodiment of the carbonation depth detection method of the application;

[0056] Figure 4 The step flowchart diagram of the built-in camera monitoring the color change of the solution in real time of an embodiment of the carbonation depth detection method of the application;

[0057] Figure 5 The function module diagram of an embodiment of the carbonation depth detection system of the application;

[0058] Figure 6 Structure diagram of a carbonization depth detection device according to an embodiment of the present application;

[0059] Figure 7 Structure diagram of a blower and reagent filling scale line of a carbonization depth detection device according to an embodiment of the present application;

[0060] Figure 8 Structure diagram of a viscous material of a carbonization depth detection device according to an embodiment of the present application;

[0061] Figure 9 Usage flow diagram of a carbonization depth detection device according to an embodiment of the present application;

[0062] Figure 10 Structure diagram of an electronic device according to an embodiment of the present application;

[0063] Figure 11 Structure diagram of a storage medium according to an embodiment of the present application. DETAILED DESCRIPTION

[0064] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of protection of the present application.

[0065] The terms “first”, “second”, “third” in the present application are only for description purpose, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with “first”, “second”, “third” can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of “a plurality of” is at least two, such as two, three, etc., unless otherwise explicitly and specifically limited. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present application are only used to explain the relative position relationship, movement condition, etc. between the components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications also change accordingly. In addition, the terms “include” and “have” and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product or device.

[0066] Reference to“an embodiment” herein means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase“in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily all referring to a common set of embodiments, of the application, differing embodiments can be described.

[0067] As shown in Figure 1 The present embodiment provides an embodiment of the carbonation depth detection method, which specifically comprises the following steps:

[0068] Step S1: Start the drilling equipment with impact and rotation functions, and automatically drill according to the preset parameters, including drilling depth, rotation speed, impact frequency, etc. Monitor the drilling depth in real time during drilling, and feed the data to the computer system through the displacement sensor;

[0069] Step S2: When drilling to a certain depth, automatically collect concrete powder samples; then start the built-in air blower to automatically blow the concrete powder in the drill hole clean; measure the current drilling depth through the displacement sensor, and the computer system automatically records the current drilling depth;

[0070] Step S3: The computer system controls the automatic addition of alcohol phenolphthalein solution to the container, and monitors the color change of the solution in real time through the built-in camera. If the solution does not change to purple red, the computer system automatically adjusts the drilling equipment parameters and continues to drill; 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; calculate the average of the two drilling depths as the carbonation depth detection result;

[0071] Step S4: Automatically generate a detection report containing drilling depth, phenolphthalein solution color change, carbonation depth, etc. and display it in the terminal in the form of a visual chart.

[0072] Preferably, step S1 of the embodiment starts the drilling device with impact and rotation functions, automatically drills through 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 the displacement sensor, and ensures the accuracy of the drilling depth. The significance achieved: ensure the automation and accuracy of the drilling process, improve the accuracy and efficiency of the detection, and reduce human error. Step S2: when drilling to a certain depth, automatically collect the concrete powder sample, automatically collect the concrete powder sample, ensure the integrity and representativeness of the sample; start the built-in fan to automatically clean the powder in the drilling hole, ensure that there is no residue in the drilling hole; measure the current drilling depth through the displacement sensor, and the computer system automatically records. The significance achieved: ensure that there is no residue in the drilling hole to provide a clean environment for detection; accurately measure and record the drilling depth to provide accurate data for subsequent carbonation depth calculation. Step S3: the computer system controls the automatic addition of alcohol phenolphthalein solution to the container, and monitors the color change of the solution in real time through the built-in camera; if the solution does not change to purple red, the computer system automatically adjusts the drilling device parameters and continues to drill; 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, calculates the average of the two drilling depths as the carbonation depth detection result. The significance achieved: realize the automatic addition of phenolphthalein solution and real-time monitoring of color change, ensure the accurate detection of carbonation depth; by automatically adjusting the drilling parameters, improve the efficiency and accuracy of the detection. Step S4: automatically generate a detection report, automatically generate a detection report containing drilling depth, phenolphthalein solution discoloration, carbonation depth and other data, and display it in the terminal in the form of a visual chart. The significance achieved: provide detailed detection data and visual charts for user analysis and archiving; improve the visualization and understandability of the detection results to facilitate users to quickly grasp the detection situation.

[0073] The embodiment is suitable for use in the case where the carbonation depth of the building or structure in the operation period is large. For concrete carbonation depth detection with a depth of 2 cm or more, the chiseling method is time-consuming and labor-intensive, while the embodiment uses a drilling device for segmented sampling, which is convenient, fast and saves time and effort. Compared with the traditional chiseling test method, the same sampling depth, the damage to the concrete structure caused by the embodiment is much smaller than that caused by chiseling, and the cylindrical hole formed by drilling is easier to repair, and the repair quality is easy to guarantee.

[0074] In summary, the embodiment realizes the automation, accuracy and intelligence of carbonation depth detection. Not only improves the accuracy and efficiency of the detection, but also realizes the standardization of the detection process and the visualization of the data, meets the demand of modern construction engineering for high-precision detection.

[0075] Further, as 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 carbonation depth range of the concrete structure to be detected, set the drilling depth as the upper limit value of the expected carbonation 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 data through the displacement sensor;

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

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

[0079] Among them, the expression of step S11 for setting the drilling depth is:

[0080]

[0081] In the formula, represents the final set drilling depth (unit: millimeter), represents the upper limit value of the expected carbonation depth range (unit: millimeter), represents the environmental factor coefficient, considering the influence of temperature, humidity and other environmental factors (unit: percentage), represents the material property coefficient, considering the composition and age of the concrete (unit: percentage), represents the equipment wear coefficient, considering the service life and wear degree of the drilling equipment (unit: percentage);

[0082] The computer system monitors the drilling depth in real time, which is represented by:

[0083]

[0084] In the formula, represents the real-time monitoring drilling depth (unit: millimeter), represents the real-time deviation feedback by the displacement sensor (unit: percentage), represents the influence coefficient of environmental temperature change on drilling depth (unit: percentage);

[0085] The expression of step S12 for setting the rotation speed is:

[0086]

[0087] wherein, represents the set rotational speed (unit: revolutions / minute), represents the concrete hardness coefficient, determined according to the concrete type and hardness grade, represents the performance parameter of the drilling equipment, usually provided by the equipment manufacturer, represents the lubricant efficiency coefficient, taking into account the type and amount of lubricant used (unit: percentage), represents the drilling time (unit: minutes), represents the cooling system efficiency coefficient, taking into account the performance and usage of the cooling system (unit: percentage);

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

[0089]

[0090] wherein, represents the real-time adjusted rotational speed (unit: revolutions / minute), represents the real-time monitored time deviation (unit: percentage), represents the real-time change coefficient of the equipment performance (unit: percentage);

[0091] Step S13 sets the impact frequency expression:

[0092]

[0093] wherein, represents the set impact frequency (unit: times / minute), represents the concrete hardness coefficient, determined according to the concrete type and hardness grade, represents the set drilling depth (unit: millimeters), represents the vibration attenuation coefficient, taking into account the propagation and attenuation of vibration in concrete (unit: percentage), represents the performance parameter of the drilling equipment, usually provided by the equipment manufacturer, represents the impact energy coefficient, taking into account the transmission efficiency of impact energy (unit: percentage);

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

[0095]

[0096] wherein, represents the real-time adjusted impact frequency (unit: times / minute), represents the real-time monitored drilling depth deviation (unit: percentage), represents the real-time change coefficient of impact energy (unit: percentage); through these complex formulas and characters, the preset parameter setting process of the drilling equipment becomes more accurate and scientific, ensuring the efficiency and accuracy of the drilling operation;

[0097] The formulas in the above steps are integrated to form a comprehensive formula input into the computer system;

[0098]

[0099] In the formula, represents the comprehensive parameter, which is input into the computer system to guide the operation of the drilling equipment, represents the final set drilling depth (unit: millimeter), represents the set rotation speed (unit: revolutions / minute), represents the set impact frequency (unit: times / minute), represents the real-time deviation feedback by the displacement sensor (unit: percentage), represents the influence coefficient of environmental temperature change on drilling depth (unit: percentage), represents the real-time change coefficient of equipment performance (unit: percentage), represents the real-time change coefficient of impact energy (unit: percentage); by inputting the comprehensive parameter into the computer system, the operation parameters of the drilling equipment will be automatically adjusted according to this parameter, ensuring the efficiency and accuracy of the drilling operation. In this way, the preset parameter setting process of the drilling equipment becomes more accurate 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 the present embodiment acquires the concrete structure thickness and carbonation depth range, ensuring that the drilling depth is set within a reasonable range, neither too shallow to cause inaccurate detection nor too deep to waste resources; setting the drilling depth as the upper limit value of the expected carbonation depth range and increasing it by 10-15%, the setting method provides a certain safety margin for the drilling process, ensuring that the expected carbonation depth can be covered, while avoiding excessive drilling; input the set value into the computer system, the intervention of the computer system makes the drilling process more intelligent, which can monitor and adjust the drilling depth in real time, ensuring 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, the real-time monitoring and feedback mechanism can timely discover and correct the deviation in the drilling process, ensuring that the drilling depth meets the preset requirements. Step S12 selects the rotation speed range according to the concrete hardness and drilling equipment performance, ensuring that the rotation speed matches the concrete hardness and equipment performance, avoiding equipment damage or poor drilling effect due to improper rotation speed; set the rotation speed as the preset parameter and input it into the computer system, the automatic adjustment function of the computer system enables the rotation speed to be optimized according to real-time conditions, improving the drilling efficiency and quality; the computer system automatically adjusts the rotation speed according to real-time monitoring data, the automatic adjustment mechanism can respond to 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 drilling depth, ensuring that the impact frequency matches the concrete hardness and drilling depth, avoiding poor drilling effect or equipment damage due to improper impact frequency; set the impact frequency as the preset parameter and input it into the computer system, the intervention of the computer system enables the impact frequency to be optimized according to real-time conditions, improving the drilling efficiency and quality; the computer system automatically adjusts the impact frequency according to real-time monitoring data, the automatic adjustment mechanism can respond to changes in the drilling process in real time, ensuring that the impact frequency is always in the best state.

[0101] In summary, the present 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, improving work efficiency and quality. Through the above detailed preset parameter setting, the automatic, accurate and intelligent operation of the drilling equipment is ensured. The setting of each parameter is strictly tested and analyzed to ensure the efficiency and accuracy of the detection process; this innovative parameter setting method not only improves the efficiency and accuracy of carbonation depth detection, but also realizes the standardization of the detection process and the visualization of data, meeting the demand for high-precision detection in modern construction engineering.

[0102] Further, as shown in Figure 3 the process of automatically blowing the concrete powder in the drilling hole clean in step S2 specifically includes the following steps:

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

[0104] where the prediction expression of fan power is:

[0105]

[0106] where, represents the required fan power (unit: watt, W), is a constant, which depends on the efficiency and design parameters of the system, is the density of the powder (unit: kg / m 3 ), is the velocity of the blown powder (unit: m / s), is the diameter of the borehole (unit: m), 、 is an exponential parameter, which is used to capture the non-linear effect of density, velocity and diameter on power, is a set of other influencing factors, such as borehole depth, borehole angle, environmental temperature, environmental humidity, powder viscosity, etc., is the weight coefficient of each influencing factor, is the total number of influencing factors; this expression can more accurately capture the complex relationship between variables by introducing exponential parameters and non-linear relationships; by adjusting the exponential parameters and weight coefficients, it can better adapt to the dynamic changes under different operating conditions, thus improving the accuracy and practicality of power prediction;

[0107] Step S22: Set the initial power of the fan according to the borehole depth and powder density; dynamically adjust the power of the fan according to real-time data feedback; for example, if the powder density is high, the system will automatically increase the fan power to enhance the blowing force; otherwise, it will reduce the power to save energy;

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

[0109] ​Preferably, step S21 of the embodiment detects and analyzes data in real time to obtain the powder distribution in the drilling hole through the depth sensor and the powder density sensor, ensuring the timeliness and accuracy of the data; the computer system analyzes the sensor data in real time to calculate the distribution density of the powder and the blowing difficulty, providing a scientific basis for subsequent power adjustment; based on historical data and a preset model, the required fan power under the current conditions is predicted to ensure that the initial power setting is reasonable and to reduce trial and error costs. Step S22 sets and dynamically adjusts the power of the fan according to the drilling depth and the powder density to ensure sufficient blowing force at the beginning of blowing; the power of the fan is dynamically adjusted according to real-time data feedback to ensure that the fan can always provide the best blowing effect under different powder densities. For example, the power is increased when the powder density is high, and the power is reduced when the powder density is low, which not only ensures the blowing effect but also saves energy. Step S23 is a closed-loop control and continuous optimization process. After each adjustment, the system will collect data again and perform analysis to ensure that the blowing effect is optimal, forming a continuous optimization cycle; the system has a self-learning function and can optimize the adjustment strategy based on the data of each operation to improve the efficiency and accuracy of future operations, making the system more and more intelligent.

[0110] In summary, the 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; through intelligent power adjustment, unnecessary energy consumption is avoided, and the energy-saving and environmentally friendly goal is achieved; the system has a fault detection and safety mechanism to ensure the safety and stability of the operation and prevent equipment damage or operation failure due to excessive or insufficient power; through self-learning and closed-loop control, the system can continuously optimize the operation strategy to improve the intelligent level of the overall operation. The automatic blowing process of the embodiment is not only efficient and accurate but also safe and energy-saving, ensuring the smooth progress of the carbonization depth detection; through this hierarchical and technical adaptive adjustment strategy, the fan can always maintain the best working state under different conditions to ensure the accuracy and efficiency of the carbonization depth detection.

[0111] Further, as shown in Figure 4 the process of step S3 of monitoring the color change of the solution in real time by the built-in camera 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 images of the phenolphthalein solution in real time and transmits the image data to the computer system; the collected images are preprocessed, including noise removal and contrast enhancement, etc., the color information in the images is analyzed in real time by using computer vision algorithms, and it is judged whether the solution has turned purple red;

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

[0114] Step S33: 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; the drilling depth, the color change of phenolphthalein solution and the carbonization depth are recorded in the database.

[0115] Preferably, the camera initialization and image processing of step S31 of the embodiment ensure that the camera is in working condition and can stably collect image data; the camera starts to collect the image of the phenolphthalein solution in real time, providing data basis for subsequent color change monitoring; the resolution and frame rate of the camera are set to optimize the image quality and collection speed, ensuring that the slight change of the solution color can be captured; the image clarity and real-time performance are improved to reduce the color recognition error; the displacement sensor is calibrated to ensure the measurement accuracy of the displacement sensor and avoid data error; the drilling depth is accurately recorded to provide reliable data for subsequent depth comparison. Real-time image collection continuously acquires real-time images of the phenolphthalein solution; provides continuous data flow for color change monitoring. Image preprocessing improves image quality through denoising and contrast enhancement; reduces image noise, enhances color contrast, and improves color recognition accuracy. Color recognition uses computer vision algorithms to analyze color information in images in real time to determine whether the solution has turned purple red, providing a basis for subsequent feedback mechanism. Step S32 color change detection and feedback: real-time monitoring of color change in the image, continuous analysis of image data, detection of color change; timely detection of the color change of the solution from the initial state to purple red triggers the feedback mechanism; triggering the feedback mechanism, when the color change is detected, the corresponding control action is triggered immediately; record the current drilling depth and compare it with the previous drilling depth without color change; record the current drilling depth to accurately record the drilling depth data and provide data support for depth comparison and carbonization depth calculation; compare the drilling depths to compare the difference between the two drilling depths and determine the drilling depth corresponding to the color change to provide a basis for carbonization depth detection. Step S33 parameter adjustment and result recording: according to the color change, dynamically adjust the parameters of the drilling equipment to optimize the drilling efficiency and accuracy and ensure the stability and accuracy of the drilling process; calculate the average value to reduce measurement error and obtain more accurate carbonization depth detection result; store the detection data in the database for subsequent analysis and report generation; save the drilling depth, the color change of the phenolphthalein solution and the carbonization depth for long-term monitoring and analysis.

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

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

[0118] Step S311: The built-in camera is started, and appropriate resolution and frame rate are set according to 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 preprocessed.

[0119] Step S312: The image is converted from the RGB color space to the HSV color space. In the HSV color space, a threshold range of purple red is set. The threshold range is set as an interval according to the hue, saturation and lightness of purple red.

[0120] Step S313: The preprocessed image is segmented to extract the solution region. The color of the solution region is detected using the set purple red threshold. If the color of the solution region falls within the purple red threshold range, it is determined that the solution has become purple red.

[0121] Preferably, in step S311 of the embodiment, the built-in camera is started and appropriate resolution and frame rate are set to ensure the clarity and real-time performance of image collection. The images of the phenolphthalein solution are collected 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. In step S312, the image is converted from the RGB color space to the HSV color space, making color detection more intuitive and accurate. The threshold range of purple red is set according to the hue, saturation and lightness of purple red to provide clear judgment criteria for color detection. In step S313, the preprocessed image is segmented to extract the solution region, reduce background interference and improve detection accuracy. The color of the solution region is detected using the set purple red threshold to determine whether the solution becomes purple red. The computer system analyzes each frame of image in real time. Once the color of the solution becomes purple red, the feedback mechanism is triggered immediately to ensure the timeliness and accuracy of the detection result.

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

[0123] Step S321: Determine whether the solution changes from the initial state to purple red by comparing with the preset color threshold value;

[0124] Step S322: The computer system continuously monitors the color change in the image, detects that the solution changes to purple red, and triggers the feedback mechanism;

[0125] Step S323: At the same time 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.

[0126] Preferably, step S321 of the embodiment determines whether the solution changes from the initial state to purple red by comparing with the preset color threshold value, and ensures accurate identification of the color change of the solution by comparing with the preset color threshold value; the computer vision technology is used to accurately determine whether the solution changes from the initial state to purple red, providing a reliable basis for triggering the subsequent feedback mechanism. The significance achieved is to ensure accurate identification of color change, avoid false triggering and unnecessary operation, and improve the reliability and accuracy of the system. Step S322: The computer system continuously monitors the color change in the image, detects that the solution changes to purple red, and triggers the feedback mechanism; the computer system monitors the color change in the image in real time, and immediately triggers the feedback mechanism once it detects that the solution changes to purple red. Through continuous monitoring and rapid response, the feedback mechanism is triggered at the first time of color change. The significance achieved is to respond to the color change of the solution in a timely manner, ensure that the feedback mechanism is triggered at the first time of color change, improve the response speed and accuracy of the system, and avoid errors caused by delay. Step S323: At the same time 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; at the same time 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, ensuring accurate recording of the drilling depth and avoiding the influence of data errors on the carbonization depth detection result. The significance achieved is to 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 result, and improve the accuracy and reliability of the system.

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

[0128] Further, the process of calculating the average of the two drilling depths in step S33 specifically includes the following steps:

[0129] Step S331: The computer system obtains two drilling depth data, respectively the drilling depth of the initial unbleached state and the drilling depth after bleaching ;

[0130] The carbonization depth is calculated using the weighted average method, and the specific formula is as follows:

[0131]

[0132] wherein, and are the weight coefficients of and respectively, which are dynamically adjusted according to the accuracy of the drilling equipment and environmental conditions;

[0133] Step S332: According to the real-time monitoring of environmental parameters (such as temperature, humidity, etc.) and equipment status, the weight coefficients are dynamically adjusted through a linear regression model;

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

[0135] Preferably, step S331 of the embodiment acquires drilling depth data and calculates a weighted average value, real-time acquisition of two drilling depth data (D1 and D2) through sensors ensures the real-time and accuracy of the data; the weighted average method is used to calculate the carbonization depth, considering the influence of drilling depth in different states on the final result, improving the accuracy of the calculation result. The significance achieved: through the weighted average method, the initial state and the drilling depth after discoloration are comprehensively considered, avoiding the error that a single data point may bring, improving the accuracy of the carbonization depth detection; acquiring two drilling depth data ensures the double verification of the data, enhancing the reliability of the data. Step S332 dynamically adjusts the weight coefficient according to the real-time monitoring of environmental parameters and equipment state, real-time monitoring of environmental parameters such as temperature and humidity ensures that the influence of environmental changes on drilling depth is accurately captured; through the linear regression model, the weight coefficient is dynamically adjusted, so that the weight coefficient can change in real time according to the actual environmental conditions and equipment state, improving the adaptability and accuracy of the weight coefficient. The significance achieved: dynamically adjusting the weight coefficient makes the system adapt to different environmental conditions and equipment states, improving the robustness and adaptability of the system; by adjusting the weight coefficient in real time, the accuracy of the carbonization depth detection is further improved, ensuring the accuracy of the results. Step S333 identifies and corrects potential systematic errors through statistical methods, such as t-test or chi-square test, to identify significant errors in the calculation results, ensuring the reliability of the data; through error correction algorithms such as Bayesian correction or Kalman filtering, potential systematic errors are corrected, improving the accuracy of the calculation results. The significance achieved: by identifying and correcting potential systematic errors, the accuracy of the carbonization depth detection results is ensured, avoiding error accumulation and propagation; through statistical methods and error correction algorithms, the reliability and stability of the system are improved, ensuring the consistency of long-term operation data.

[0136] In summary, the embodiment ensures high precision in 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 state, has strong adaptability and robustness, and is suitable for various complex environments; through multiple data verification and error correction, the high reliability of the data is ensured, providing a solid foundation for subsequent analysis and decision-making. The computer system can provide high-precision and high-reliability results in carbonization depth detection, meeting various engineering and scientific research needs.

[0137] As Figure 5 shown, the embodiment also provides an embodiment of a carbonization depth detection system, in which the carbonization depth detection system is applied to the carbonization depth detection method in the above-mentioned embodiment, and the carbonization depth detection system comprises a parameter setting module 1, a depth acquisition module 2 and a result output module 3 connected in sequence;

[0138] The parameter setting module 1 is used to start the drilling equipment containing impact and rotation functions, and automatically drill according to preset parameters, wherein the preset parameters include drilling depth, rotation speed, impact frequency, etc.; the drilling depth is monitored in real time during the drilling process, and the displacement sensor feeds data to the computer system; the depth collection module 2 is used to automatically collect concrete powder samples when drilling to a certain depth; then start the built-in air blower to automatically blow the concrete powder in the drilling hole clean; 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 change to purple red, the computer system automatically adjusts the drilling equipment parameters and continues to drill; when the phenolphthalein solution changes to purple red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth which does not change color; calculate the average value of the two drilling depths as the carbonation depth detection result; automatically generate a detection report containing drilling depth, phenolphthalein solution color change, carbonation depth, etc. Data is displayed in the form of a visual chart on the terminal.

[0139] Preferably, the parameter setting module 1 of the present embodiment automatically starts the drilling equipment through preset parameters, realizing the automation of the drilling process and reducing the errors caused by human operation; the drilling depth is monitored in real time during the drilling process, and the displacement sensor feeds back data to the computer system, ensuring the real-time and accuracy of the data. The significance achieved: automatic control and real-time monitoring greatly improve the efficiency of the drilling process, reducing the time and cost of manual intervention; through real-time monitoring and feedback, the accuracy of the drilling depth data is ensured, providing reliable basic data for carbonation depth detection. The depth collection module 2 automatically collects concrete powder samples when drilling to a certain depth, ensuring the representativeness and consistency of the samples; starts the built-in air blower to automatically blow the concrete powder in the drill hole clean, ensuring the cleanliness of the drill hole interior and providing a good environment for operation; the current drilling depth is measured by the displacement sensor, and the computer system automatically records the current drilling depth, ensuring the accuracy of the data. The significance achieved: automatic collection and cleaning function ensures the quality and consistency of the samples, avoiding errors caused by human operation; by automatically measuring and recording the drilling depth, the data is highly reliable, providing accurate data support for carbonation depth detection. The result output module 3 computer system controls the automatic addition of alcohol phenolphthalein solution to the container, ensuring the accuracy and consistency of the solution addition; the color change of the solution is monitored in real time by the built-in camera, ensuring real-time capture and recording of the color change; if the solution does not turn purple red, the computer system automatically adjusts the drilling equipment parameters and continues drilling, ensuring accurate detection of the carbonation depth; 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, calculates the average of the two drilling depths as the carbonation depth detection result; automatically generates a detection report containing drilling depth, phenolphthalein solution color change, carbonation depth and other data, and displays it in a visual chart form on the terminal, making it easy for users to view and analyze. The significance achieved: through automatic solution addition, real-time monitoring and automatic parameter adjustment, the high precision of carbonation depth detection is ensured, avoiding errors caused by human operation; automatically generating a detection report and displaying it in a visual chart form makes it easy for users to intuitively view and analyze the detection results, improving the readability and usability of the data; the automation of the entire detection process greatly improves the detection efficiency and accuracy, reducing the time and cost of manual intervention and improving the quality and efficiency of the overall detection work.

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

[0141] As Figure 6-9 shown, the embodiment also provides an embodiment of carbonation depth detection device, in the embodiment, the carbonation depth detection device is applied to the carbonation depth detection system in the above embodiment, the carbonation depth detection device includes the concrete structure 4 to be detected, drilling equipment 5, sampling rod 6, concrete powder 7, phenolphthalein alcohol solution 8, blowing (blowing) fan 9, label 10, reagent filling scale line 11, adhesive material 12;

[0142] Wherein, the burette is used to fill the alcohol phenolphthalein solution 8 to the bottom of the test bag, the amount of reagent just reaches the reagent filling scale line 11 or the solution drop number marked on the test bag, which can be injected into multiple test bags for standby according to the workload of the day; Drilling is carried out by using drilling equipment 5, the drill bit is kept perpendicular to the surface of the concrete structure 4 to be detected during drilling, and the drilling depth is preferably 5mm-10mm; The drill bit of the drilling equipment 5 is gently pulled out of the concrete structure 4 to be detected, and the concrete powder is avoided to be taken out as much as possible during the process; The enlarged head of the sampling rod 6 is inserted into the deep part of the drill hole, and the concrete powder 7 near the deepest part of the drill hole is taken as much as possible, and the sampling rod 6 is pulled out after ensuring that the adhesive material 12 on the surface of the enlarged head adheres enough concrete powder 7; The enlarged head of the sampling rod 6 is inserted into the test bag, and the sampling rod 6 is gently rotated, so that the test bag with alcohol phenolphthalein solution 8 is fully infiltrated with the concrete powder 7; The concrete powder 7 remaining in the current drill hole is completely blown (or sucked) by using the blowing fan (or suction fan) 9, and the concrete powder 7 on the surface of the drill bit of the drilling equipment 5 is cleaned, and the concrete powder 7 without obvious aggregation can be used; The current drilling depth value h i is measured, and 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 not continued; If the alcohol phenolphthalein solution 8 does not turn purple red or the color change is not obvious, drilling is continued on the current hole, and the above steps are repeated until the depth of the first color change is found; Finally, the average value of the first color change drilling depth h k and the last non-color change depth h k+1 is taken as the carbonation depth detection result.

[0143] In the embodiment, the drilling device 2 adopts the percussion + rotation drilling mode, which is more efficient in drilling inside the concrete structure 4 to be detected; the drill bit diameter ranges from 8 mm to 12 mm, which can be adjusted according to the aggregate diameter of the concrete structure 4 to be detected. The larger the aggregate diameter, the larger the diameter of the drill bit to be selected accordingly. The surface of the enlarged head of the sampling rod 6 is made of a sticky material that does not affect the pH of the concrete powder. The color of the enlarged head of the sampling rod 6 is white, so as to observe the discoloration of the concrete powder 7. The test bag is provided with a signed label 10, on which the depth corresponding to the current sample can be written. One side of the test bag is white, which facilitates the comparison of the discoloration of the phenolphthalein solution. The test bag is provided with a scale line for adding the alcohol phenolphthalein solution 8, which facilitates the user to add an appropriate amount of reagent solution. The reagent is added according to the scale line, and the reagent can just soak the powder of the enlarged head of the sampling rod 6. The upper part of the test bag is in the shape of a trumpet mouth, which facilitates 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 operation can save the time of spraying the phenolphthalein reagent, and can prevent the current sample from being contaminated by the subsequent drilling of the concrete powder 7 or other substances in the air. When using the test bag for testing, only one side of the enlarged head of the sampling rod 6 is inserted into the test bag, and then the discoloration of the concrete powder 7 is observed.

[0144] The embodiment obtains the concrete powder 7 by drilling, and tests the concrete powder 7 with the phenolphthalein reagent to obtain the carbonation depth. The concrete powder 7 is sampled by the method of "segmented sampling - segmented testing - segmented cleaning", which prevents the concrete powders 7 of different segments from interfering with each other during the sampling process.

[0145] Preferably, the embodiment uses the impact + rotation drilling mode to improve the drilling efficiency of the drilling device inside the concrete structure, reduce the drilling time; a plurality of test bags are injected with reagents at one time to save the time of spraying the phenolphthalein reagent and improve the overall detection efficiency; the design of the enlarged head of the sampling rod ensures that the concrete powder near the deepest part of the drilling can be dipped to improve the accuracy of sampling; the design of the test bag allows the concrete powder to be completely infiltrated by the solution, ensuring the accuracy of the test results; the design of the test bag's flared mouth facilitates the insertion of the sampling rod while preventing the contamination of the current sample by the subsequent drilling of concrete powder or other substances in the air; the method of segmented sampling, segmented testing and segmented cleaning effectively prevents the mutual interference of concrete powders in different segments, ensuring the independence and purity of each segment sample; the test bag has a scale line for adding the phenolphthalein solution, which facilitates the addition of the appropriate amount of reagent solution and simplifies the operation process; the white surface design of the test bag facilitates the comparison of the color change of the 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 accuracy of data recording and traceability is ensured; the average value of the first colored drilling depth and the last uncolored depth is used as the carbonation depth detection result to improve the reliability of the detection result.

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

[0147] As shown in Figure 10 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 carbonation depth detection method of any of the above embodiments.

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

[0150] The processor 131 can also be referred to as a CPU (Central Processing Unit). The processor 131 can be an integrated circuit chip with processing capability. The processor 131 can also be a general purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0151] Further, Figure 11 For a structural diagram of the storage medium of an embodiment of the present application, the storage medium 14 of the embodiment of the present application stores program instructions 141 capable of implementing all the methods described above, wherein the program instructions 141 can be stored in the storage medium in the form of a software product, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes a U disk, a mobile hard disk, a ROM (Read-Only Memory), a RAM (Random Access Memory), a magnetic disk or an optical disk, and various media capable of storing program codes, or a terminal device such as a computer, a server, a mobile phone, a tablet, etc.

[0152] In several embodiments of the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are merely illustrative, for example, the division of units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0153] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit. The above is only an embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent process conversion using the content of the specification and drawings of the present application, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

[0154] The foregoing detailed description of the application has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the application to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The described embodiments were chosen in order to best explain the principles of the application and its practical application to thereby enable others skilled in the art to best utilize the application. It is intended that the described embodiments be considered merely exemplary and that all modifications and equivalents thereof be considered within the scope of the application.

Claims

1. A method of detecting the depth of carbonization, characterized by, The carbonation depth detection method comprises: Start the drilling device with impact and rotation functions, and automatically drill according to preset parameters, wherein the preset parameters include drilling depth, rotation speed and impact frequency; monitor the drilling depth in real time during drilling, and feed data to the computer system through the displacement sensor; When drilling to a certain depth, automatically collect the concrete powder sample; then start the built-in air blower to automatically blow the concrete powder in the drilling hole clean; measure the current drilling depth through the displacement sensor, and the computer system automatically records the current drilling depth; The computer system controls the automatic addition of alcohol phenolphthalein solution to the container, and monitors the color change of the solution in real time through the built-in camera; if the solution does not change to purple red, the computer system automatically adjusts the drilling device parameters and continues to drill; when the phenolphthalein solution changes to purple red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth that has not changed; calculate the average of the two drilling depths as the carbonation depth detection result; Generate a detection report automatically, including drilling depth, phenolphthalein solution discoloration, carbonation depth data, and display in a visual chart form on the terminal; The preset parameter setting process of the drilling device comprises: Obtain the thickness and carbonation depth range of the concrete structure to be detected, set the drilling depth to the upper limit value of the expected carbonation 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 device; the computer system monitors the drilling depth in real time and feeds back data through the displacement sensor; According to the hardness of the concrete and the performance of the drilling device, select a rotation speed range, set the rotation speed as a preset parameter, and input it 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, select an impact frequency range, set the impact frequency as a preset parameter, and input it into the computer system; the computer system automatically adjusts the impact frequency according to the real-time monitoring data; The process of real-time monitoring of the color change of the solution by the built-in camera comprises: Start the built-in camera, set the resolution and frame rate of the camera, 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 operations, use computer vision algorithms to analyze the color information in the images in real time, and determine whether the solution has changed to purple red; The computer system monitors the color change in the image in real time, and triggers the feedback mechanism when it detects that the color of the solution has changed from the initial state to purple red; the computer system automatically records the current drilling depth and compares it with the previous drilling depth that has not changed; According to the color change, the computer system automatically adjusts the parameters of the drilling device; the computer system calculates the average of the two drilling depths as the carbonation depth detection result; record the drilling depth, phenolphthalein solution discoloration and carbonation depth data in the database; The process of determining whether the solution has changed to purple red comprises: The built-in camera is activated and set to the appropriate resolution and frame rate based on the requirements. The camera begins to capture images of the phenolphthalein solution in real-time and transmits the image data to the computer system. The captured images are pre-processed; Convert the image from RGB color space to HSV color space. In the HSV color space, set a threshold range for purple-red color. The threshold range is set as an interval based on the hue, saturation, and lightness of the purple-red color. Segment the pre-processed image to 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 falls within the purple-red threshold range, it is determined that the solution has turned purple-red. The process of triggering the feedback mechanism includes: Compare the color in the image with the pre-set color threshold to determine if the solution has turned purple-red from the initial state. The computer system continuously monitors the color changes in the image and detects when the solution turns purple-red, triggering the feedback mechanism. At the same time 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.

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

3. The carbonization depth detection method according to claim 2, characterized by Where, The prediction expression of the fan power is: wherein, P denotes the required fan power, is a constant depending on the efficiency of the system and design parameters, is the density of the powder, is the speed of blowing the powder, is the diameter of the borehole, is an exponential parameter to capture the non-linear effect of density, speed and diameter on power, is a set of other influencing factors, containing borehole depth, borehole angle, ambient temperature, ambient humidity, powder viscosity, is the weight coefficient of each influencing factor, is the total number of influencing factors.​​ 4. The carbonization depth detection method according to claim 1, characterized by, The process of the computer system calculating the average of the two drilling depths includes: The computer system obtains two sets of drilling depth data, one for the initial unbleached state of the drill hole and one for the bleached state of the drill hole ; Use the weighted average method to calculate the carbonation depth, with the specific formula as follows: in, and They are respectively and The weighting coefficients are dynamically adjusted based on the accuracy of the drilling equipment and environmental conditions. Dynamically adjust the weight coefficient based on real-time monitoring of environmental parameters and equipment status; After calculating the average, identify and correct potential systematic errors to ensure the accuracy of the carbonation depth detection results.

5. A carbonization depth detection system for use in the carbonization depth detection method according to any one of claims 1 to 4, characterized by The carbonation depth detection system includes: A parameter setting module for starting a drilling device with impact and rotation functions, and automatically drilling according to pre-set parameters, including drilling depth, rotation speed, and impact frequency. Monitor the drilling depth in real time during drilling and feed the data back to the computer system through the displacement sensor; A depth collection module for automatically collecting concrete powder samples when drilling to a certain depth, and automatically blowing away the concrete powder in the drill hole by starting the built-in fan. Measure the current drilling depth with the displacement sensor and record the current drilling depth automatically by the computer system; The result output module is used for the computer system to control automatic addition of the alcohol phenolphthalein solution into the container and real-time monitoring of the color change of the solution through the built-in camera; if the solution does not become purple red, the computer system automatically adjusts the drilling equipment parameters and continues drilling; when the phenolphthalein solution becomes purple red, the computer system automatically records the current drilling depth and compares it with the previous drilling depth which does not change; the average value of the drilling depths of the two times is calculated as the carbonization depth detection result; a detection report is automatically generated, including the drilling depth, the color change of the phenolphthalein solution, the carbonization depth data, and is displayed in the form of a visual chart on the terminal.

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