Environment detection system with automatic solution concentration control and fracture observation functions

Abstract

The invention discloses a humidity control environment detection system and method with automatic solution concentration control and fracture real-time observation functions, and relates to the technical field of geological detection. In order to solve the problem that the existing rock deterioration detection method neglects the influence of a water vapor circulation process on a rock microstructure and crack extension, so that a detection result has certain limitation. According to the technical scheme, an intelligent solution regulation and control module, a humidity regulation and control module, a crack monitoring module, a data acquisition and analysis module and a test box module are provided, a sample placement platform and a hollow bottom plate are arranged in a transparent test box, and a precisely controllable test environment is provided through the modules; the method is used for evaluating the durability and performance change of the geological engineering material under specific humidity and solution concentration conditions. The precision and stability of solution concentration control can be remarkably improved, the accuracy and timeliness of real-time fracture observation are enhanced, the humidity control environment is optimized, and the overall system performance is improved.

Description

Technical Field

[0001] The present invention relates to the field of geological detection technology, and in particular to an environmental detection system with automatic solution concentration control and crack observation functions, and in particular to a humidity control environmental detection system and method with automatic solution concentration control and crack real-time observation functions. Background Art

[0002] In geotechnical engineering, underground engineering and mining engineering, the mechanical properties of rock materials are directly related to the safety and long-term stability of the project. However, in the natural environment, rocks are often affected by water vapor cycles. This long-term humidity change will lead to the degradation of the rock microstructure and ultimately affect its macroscopic mechanical properties. Especially when rocks are exposed to a hot and humid environment for a long time, their internal microcracks gradually expand, accelerating the strength decay of the rock. Existing studies have shown that repeated penetration and evaporation of water will cause the minerals inside the rock to dissolve and migrate, thereby causing irreversible changes in the rock structure.

[0003] Traditional rock degradation detection methods mainly focus on mechanical property testing, often ignoring the impact of water vapor circulation on rock microstructure and crack expansion, resulting in certain limitations in the detection results. For example, existing technologies usually use physical loading methods, lack controllable adjustment of humidity and temperature environments, and cannot truly simulate the effect of water vapor circulation on rock degradation in the natural environment. In addition, existing equipment is difficult to monitor the development process of cracks in real time during the test, and cannot accurately analyze the microscopic changes in the rock degradation process. Summary of the invention

[0004] The purpose of the present invention is to provide a humidity control environment detection system and method with automatic solution concentration control and real-time crack observation functions, so as to solve the problem that the existing rock degradation detection methods mainly focus on mechanical properties testing, ignore the influence of water vapor circulation process on rock microstructure and crack expansion, resulting in certain limitations in the detection results.

[0005] The technical solution of the present invention to solve the above technical problems is as follows:

[0006] An environmental detection system with automatic solution concentration control and crack observation functions, comprising: an intelligent solution control module, having a solution storage tank, an intelligent concentration regulating pump, a concentration sensor and a solution heating device, wherein the solution storage tank is used to store the solution required for the test; the intelligent concentration regulating pump is connected to the solution storage tank through a pipeline; the concentration sensor is arranged in the solution storage tank or on a pipeline connected thereto, and monitors the concentration of the solution in real time; the solution heating device is arranged outside or inside the solution storage tank, and is used to heat the solution;

[0007] The humidity control module has a high-efficiency distilled water tank, an intelligent humidity control pump, a humidity sensor and a mixed gas chamber. The high-efficiency distilled water tank is connected to the intelligent humidity control pump through a pipeline; the intelligent humidity control pump is connected to the mixed gas chamber through a pipeline, and adjusts the humidity entering the test chamber according to the feedback of the humidity sensor; the humidity sensors are respectively arranged in the test chamber, the solution storage tank and the mixed gas chamber, and are connected to the data acquisition instrument through cables to monitor the environmental humidity in real time; the mixed gas chamber is connected to the test chamber through a pipeline, and is used to mix air and steam;

[0008] The crack monitoring module has a high-precision crack observation camera and an acoustic emission detector. The high-precision crack observation camera and the acoustic emission detector are installed outside or inside the test box through a bracket or a fixture, and are connected to the data acquisition instrument through a cable to transmit crack information in real time;

[0009] The data acquisition and analysis module comprises a data acquisition instrument, a computer and a data communication interface. The data acquisition instrument is respectively connected to the concentration sensor and the humidity sensor for communication. The computer is connected to the data acquisition instrument through the data communication interface to realize data storage, processing and analysis. The data communication interface is arranged between the data acquisition instrument and the computer.

[0010] The test box module comprises a transparent test box, a sample placing platform and a hollow bottom plate. The transparent test box is provided with a sample placing platform and a hollow bottom plate inside. The sample placing platform is fixed inside the transparent test box for placing and fixing the test material. The hollow bottom plate is arranged at the bottom of the transparent test box.

[0011] Preferably, the intelligent concentration regulating pump adopts a closed-loop control system, is connected to the concentration sensor through a pipeline, and dynamically adjusts the solution flow and concentration according to real-time feedback.

[0012] Preferably, the high-efficiency distilled water tank has a built-in multi-stage filtration device, which is connected to the intelligent humidity control pump through a pipeline to provide distilled water without impurities.

[0013] Preferably, a temperature and humidity regulating device is provided in the mixed gas chamber and is connected to the test box through a pipeline to achieve precise humidity control.

[0014] Preferably, the high-precision crack observation camera uses a high-resolution lens and is installed outside or inside the test chamber through a fixing device, which can capture tiny crack changes on the surface of the material.

[0015] Preferably, the data communication interface supports both wired and wireless communication modes and is arranged between the data acquisition instrument and the computer to adapt to different test environment requirements.

[0016] A detection method using the above-mentioned humidity control environment detection system with automatic solution concentration control and crack real-time observation functions comprises the following steps:

[0017] S1. Setting and adjusting solution concentration and humidity conditions:

[0018] According to the test requirements, the solution concentration in the solution storage tank is set, and the intelligent concentration regulating pump receives the feedback data from the concentration sensor to dynamically adjust the flow rate of the solution to maintain a stable concentration;

[0019] Set the humidity conditions in the test chamber, and receive feedback from the humidity sensor through the intelligent humidity control pump to adjust the amount of steam entering the test chamber to maintain constant humidity;

[0020] S2. Placement and fixation of the sample to be tested:

[0021] Place the geological engineering materials to be tested on the sample placement platform in the test box;

[0022] Use appropriate fixtures to ensure that the specimen remains stationary during the test;

[0023] S3. Startup and monitoring of system operation:

[0024] Start the system so that the intelligent concentration regulating pump and the intelligent humidity regulating pump respectively adjust the flow rate and concentration of the solution and the humidity of the test chamber according to the preset conditions;

[0025] At the same time, the high-precision crack observation camera and acoustic emission detector are started to monitor the crack development on the material surface in real time and transmit the data to the data acquisition instrument;

[0026] S4. Capture and processing of image signals:

[0027] The high-precision crack observation camera captures images of the material surface and uses image processing algorithms to perform preprocessing, feature extraction, and crack identification to determine the specific parameters of the cracks;

[0028] The acoustic emission detector receives the acoustic emission signal inside the material and identifies it through the signal analysis algorithm to determine the existence and development of cracks;

[0029] S5. Data collection and analysis and establishment of degradation model:

[0030] The data logger collects data from all sensors and transmits it to the computer through the data communication interface;

[0031] Computers use advanced algorithms and models to conduct deep learning and analysis of the collected data to establish a material degradation model, which is used to evaluate the performance changes of materials under specific conditions.

[0032] The present invention has the following beneficial effects:

[0033] Precise control of test conditions: Through the closed-loop control system of the intelligent concentration regulating pump and concentration sensor, the concentration of the solution can be precisely controlled to ensure the stability of the concentration during the test. The humidity control module uses an intelligent humidity regulating pump and humidity sensor to monitor and adjust the humidity of the test chamber in real time to meet specific test requirements. The solution heating device can keep the solution at the required temperature, further ensuring the accuracy of the test conditions.

[0034] Real-time monitoring of material changes: High-precision crack observation cameras can capture tiny crack changes on the surface of materials, and perform real-time analysis and identification through image processing algorithms to provide accurate crack information. Acoustic emission detectors can detect acoustic emission signals generated by crack expansion inside the material, further confirm the existence and development of cracks, and provide more comprehensive material degradation monitoring.

[0035] Efficient data collection and analysis: The data acquisition instrument can collect data from all sensors in real time, including solution concentration, humidity, crack information, etc., to ensure the integrity and real-time nature of the data. The data processing software on the computer uses advanced algorithms and models, such as neural networks and machine learning, to conduct in-depth learning and analysis of the collected data, establish a material degradation model, and provide a scientific basis for material performance evaluation.

[0036] Improve test efficiency and accuracy: Automated control systems and real-time monitoring technology can greatly improve test efficiency and accuracy, reduce human errors and test time. Through the established degradation model, the durability and performance changes of materials in natural environments can be predicted, providing a more reliable scientific basis for the selection and application of geological engineering materials.

[0037] Broad application prospects: This system and method are not only suitable for durability assessment of geotechnical materials such as concrete, but can also be applied to other test fields that require precise control of solution concentration and humidity, such as geotechnical engineering, underground engineering, mining engineering, etc. By changing the solution type and concentration in the solution storage tank and the humidity setting of the test chamber, different environmental conditions can be simulated to further explore the performance changes of materials in different environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 The schematic diagram of the humidity control environment detection system with automatic solution concentration control and crack real-time observation functions of the present invention;

[0039] Figure 1The reference numerals shown in the figures respectively represent: a solution storage tank 101, an intelligent concentration adjustment pump 102, a concentration sensor 103, a solution heating device 104, a high-efficiency distilled water tank 201, an intelligent humidity control pump 202, a humidity sensor 203, a mixing gas chamber 204, a high-precision crack observation camera 301, an acoustic emission detector 302, a data acquisition instrument 401, a computer 402, a data communication interface 403, a test box 501, a sample placement platform 502, and a hollow bottom plate 503. DETAILED DESCRIPTION

[0040] The technical solution of the present invention is described clearly and completely below in conjunction with the accompanying drawings. 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0041] Please refer to Figure 1 The present invention relates to the field of geological detection technology, and more particularly to a humidity control environment detection system and method with automatic solution concentration control and real-time crack observation functions. The following is a detailed description of a specific implementation of the present invention.

[0042] The humidity control environment detection system provided by the present invention is mainly composed of an intelligent solution control module, a humidity control module, a crack monitoring module, a data acquisition and analysis module and a test box module.

[0043] The intelligent solution control module mainly includes a solution storage tank 101, an intelligent concentration adjustment pump 102, a concentration sensor 103 and a solution heating device 104. The solution storage tank 101 is used to store the solution required for the test, which can be water, saline or other chemical solutions, depending on the test requirements. The solution storage tank 101 is designed as a sealed structure to prevent the solution from volatilizing and contaminating. The intelligent concentration adjustment pump 102 is connected to the solution storage tank 101 through a pipeline, and is used to extract the solution from the storage tank and transport it to the test box or other required locations.

[0044] The core of the intelligent concentration regulating pump 102 lies in its closed-loop control system. The system is connected to the concentration sensor 103 through a pipeline to form a feedback control loop. The concentration sensor 103 monitors the concentration of the solution in real time and feeds back the concentration data to the intelligent concentration regulating pump 102. The intelligent concentration regulating pump 102 dynamically adjusts the flow rate and concentration of the solution according to the real-time feedback, and adopts advanced control algorithms, such as PID (proportional-integral-differential) control algorithm, to ensure that the concentration of the solution is always kept within the preset range. The PID control algorithm calculates the deviation between the current concentration and the preset concentration, and adjusts the flow rate of the solution according to the size and direction of the deviation, thereby achieving precise control of the concentration.

[0045] The solution heating device 104 is disposed outside or inside the solution storage tank 101 and is used to heat the solution to a desired temperature. The heating device adopts intelligent temperature control technology, can monitor the temperature of the solution in real time, and automatically adjust the heating power according to the preset temperature to ensure the stability and uniformity of the solution temperature.

[0046] The humidity control module has a high-efficiency distilled water tank 201, an intelligent humidity control pump 202, a humidity sensor 203 and a mixed gas chamber 204. The high-efficiency distilled water tank 201 has a built-in multi-stage filtration device, which is connected to the intelligent humidity control pump 202 through a pipeline to provide distilled water without impurities. The intelligent humidity control pump 202 is connected to the mixed gas chamber 204 through a pipeline, and adjusts the humidity entering the test box according to the feedback of the humidity sensor 203. The humidity sensor 203 is respectively arranged in the test box 501, the solution storage tank 101 and the mixed gas chamber 204, and is connected to the data acquisition instrument 401 through a cable to monitor the environmental humidity in real time.

[0047] A temperature and humidity regulating device is provided in the mixed air chamber 204, and the device is connected to the test chamber 501 through a pipeline. The mixed air chamber 204 is used to mix air and steam to produce air with a specific humidity. The temperature and humidity regulating device can further adjust the temperature and humidity of the mixed air chamber to ensure that the air entering the test chamber has accurate humidity conditions. The regulating device adopts an advanced temperature and humidity control algorithm, which can comprehensively consider factors such as ambient temperature, humidity, and steam volume, and achieve rapid stabilization and precise control of humidity through precise calculation and adjustment.

[0048] The crack monitoring module mainly includes a high-precision crack observation camera 301 and an acoustic emission detector 302. The high-precision crack observation camera 301 uses a high-resolution lens and is installed on the outside or inside of the test box 501 through a fixing device, which can capture the tiny crack changes on the surface of the material. The acoustic emission detector 302 is used to detect the acoustic emission signals generated by the crack expansion inside the material, and further confirm the existence and development of the crack.

[0049] The working principle of the high-precision crack observation camera 301 is based on optical imaging technology. It captures images of the material surface through a high-resolution lens and uses advanced image processing algorithms to process and analyze the images. The image processing process includes steps such as image preprocessing, feature extraction, and crack recognition. First, the original image is preprocessed, such as denoising and contrast enhancement, to improve image quality. Then, algorithms such as edge detection are used to extract feature information in the image, such as the edge contour of the crack. Finally, the extracted features are analyzed and judged by the crack recognition algorithm to determine the location, length, width and other parameters of the crack.

[0050] The working principle of the acoustic emission detector 302 is based on acoustic emission technology, which detects the expansion of cracks by receiving acoustic emission signals generated inside the material. The generation of acoustic emission signals is related to factors such as the stress state inside the material and the crack expansion speed. The detector amplifies and filters the received signals, and then uses advanced signal analysis algorithms to identify and analyze the signals to determine the existence and development of cracks.

[0051] The data acquisition and analysis module has a data acquisition instrument 401, a computer 402 and a data communication interface 403. The data acquisition instrument 401 is respectively connected to the concentration sensor 103, the humidity sensor 203, the high-precision crack observation camera 301 and the acoustic emission detector 302 for collecting data from all sensors. The computer 402 is connected to the data acquisition instrument 401 through the data communication interface 403 to achieve data storage, processing and analysis. The data communication interface 403 supports both wired and wireless communication modes to meet different test environment requirements.

[0052] Computer 402 is equipped with dedicated data processing software, which can perform pre-processing operations such as filtering, denoising, and calibration on the collected data, and further analyze the data to establish a degradation model of the material. The data processing software uses advanced algorithms and models, such as neural networks and machine learning, to conduct in-depth learning and analysis of the collected data. By learning the performance change rules of the material under specific humidity and solution concentration conditions, the software can establish a degradation model of the material to reflect the degree and trend of the degradation of the material performance.

[0053] The transparent test box 501 is made of transparent materials, such as glass or organic glass, so as to observe the changes of materials during the test. A sample placement platform 502 and a hollow bottom plate 503 are provided inside the transparent test box 501. The sample placement platform 502 is fixed inside the transparent test box 501 and is used to place and fix the test materials. The sample placement platform 502 can be designed as a structure with adjustable height and angle to accommodate samples of different shapes and sizes. The hollow bottom plate 503 is set at the bottom of the transparent test box 501 to allow the solution and air to flow freely inside the test box, thereby ensuring the consistency of the test environment.

[0054] The following is a detailed description of the detection method:

[0055] First, the required solution concentration and humidity conditions are set according to the test requirements. The concentration of the solution and the humidity of the test box are adjusted by the intelligent concentration regulating pump 102 and the intelligent humidity regulating pump 202 respectively. The setting of the solution concentration needs to take into account the characteristics of the test material and the purpose of the test. The concentration sensor 103 monitors and feeds back the concentration data in real time. The intelligent concentration regulating pump 102 dynamically adjusts the flow and concentration of the solution according to the real-time feedback to ensure that the solution concentration always remains within the preset range. The setting of humidity needs to take into account the hygroscopicity of the test material and the stability of the test environment. The humidity sensor 203 monitors and feeds back the humidity data in real time. The intelligent humidity regulating pump 202 adjusts the humidity entering the test box according to the real-time feedback to ensure that the humidity conditions in the test box meet the test requirements.

[0056] Place the geotechnical materials to be tested on the sample placement platform 502 in the test box 501. The sample can be a geotechnical material such as rock, soil, concrete, etc., depending on the test requirements and research objects. Ensure that the sample remains stationary during the test to avoid errors caused by sample movement.

[0057] After starting the system, the intelligent concentration regulating pump 102 and the intelligent humidity regulating pump 202 respectively regulate the flow and concentration of the solution and the humidity of the test chamber according to the preset conditions. The intelligent concentration regulating pump 102 realizes precise control of concentration through a closed-loop control system and a PID control algorithm, while the intelligent humidity regulating pump 202 realizes precise control of humidity through a temperature and humidity control algorithm. At the same time, the high-precision crack observation camera 301 and the acoustic emission detector 302 monitor the development of cracks on the surface of the material in real time, and transmit the data to the data acquisition instrument 401 in real time.

[0058] The high-precision crack observation camera 301 uses a high-resolution lens to capture images of the material surface, and processes and analyzes the images through an image processing algorithm. The image processing process includes steps such as image preprocessing, feature extraction, and crack recognition. First, the original image is preprocessed, such as denoising, contrast enhancement, etc., to improve image quality. Then, algorithms such as edge detection are used to extract feature information in the image, such as the edge contour of the crack. Finally, the extracted features are analyzed and judged by the crack recognition algorithm to determine the location, length, width and other parameters of the crack. The acoustic emission detector 302 receives the acoustic emission signal generated inside the material, and identifies and analyzes the signal through a signal analysis algorithm to determine the existence and development of the crack.

[0059] The data acquisition instrument 401 collects data from all sensors, including solution concentration, test chamber humidity, crack information on the material surface, etc. The computer 402 is connected to the data acquisition instrument 401 through a data communication interface to store, process and analyze the collected data. The data processing software uses advanced algorithms and models, such as neural networks and machine learning, to conduct in-depth learning and analysis of the collected data. By learning the performance change rules of the material under specific humidity and solution concentration conditions, the software can establish a material degradation model.

[0060] The process of establishing the degradation model includes steps such as data preprocessing, feature extraction, model training and verification. First, the collected data is preprocessed, such as removing outliers and smoothing data, to improve data quality. Then, the feature extraction algorithm is used to extract feature information related to material degradation, such as the length, width, and number of cracks. Next, the extracted features are learned and trained using a machine learning algorithm or a neural network model to establish a material degradation model. Finally, the model is verified and optimized through a validation data set to ensure the accuracy and reliability of the model.

[0061] By analyzing and evaluating the established degradation model, we can understand the performance change rules of materials under specific humidity and solution concentration conditions, such as strength reduction, crack expansion, etc. The degradation model can be used to evaluate the durability and performance changes of materials in natural environments, providing a scientific basis for the selection and application of geological engineering materials.

[0062] The following is a specific embodiment:

[0063] Evaluate the durability and performance changes of concrete in a salt water environment. Test condition setting: Set the solution in the solution storage tank 101 to a salt water concentration of 5%, and set the humidity of the test box 501 to 80%. The concentration of the solution and the humidity of the test box are adjusted by the intelligent concentration regulating pump 102 and the intelligent humidity regulating pump 202 respectively to ensure that the test conditions meet the preset requirements. At the same time, the temperature of the salt water is adjusted to room temperature by the solution heating device 104.

[0064] Sample placement: Place a concrete cube sample with a size of 100 mm × 100 mm × 100 mm on the sample placement platform 502 in the test box 501. Ensure that the sample remains stationary during the test.

[0065] Start the system and start the test. After starting the system, the intelligent concentration regulating pump 102 automatically adjusts the flow rate of the solution according to the preset 5% salt water concentration to ensure that the solution concentration is stable and accurate. At the same time, the intelligent humidity regulating pump 202 achieves precise control of humidity by adjusting the amount of steam entering the test box according to the preset 80% humidity condition. The solution heating device 104 keeps the temperature of the salt water at room temperature to avoid the influence of temperature fluctuations on the test results.

[0066] During the test, the high-precision crack observation camera 301 continuously captures images of the concrete sample surface and uses image processing algorithms to analyze the images in real time to detect the appearance and development of cracks. The acoustic emission detector 302 monitors the acoustic emission signals generated by salt water erosion and humidity changes inside the concrete to further confirm the existence and expansion of cracks.

[0067] The data acquisition device 401 collects data from all sensors in real time, including solution concentration, test chamber humidity, crack information on the concrete surface, and acoustic emission signals, etc. These data are transmitted to the computer 402 in real time through the data communication interface 403, and are stored, processed, and analyzed by dedicated data processing software.

[0068] The data processing software first preprocesses the collected data to remove outliers and noise to improve data quality. Then, a feature extraction algorithm is used to extract feature information related to concrete deterioration, such as the length, width, number of cracks, and the frequency and intensity of acoustic emission signals.

[0069] Next, the extracted features are learned and trained using machine learning algorithms or neural network models to establish a concrete degradation model that can reflect the performance changes of concrete under specific salt water concentration and humidity conditions, such as strength reduction and crack expansion speed.

[0070] In order to verify the accuracy and reliability of the model, a part of the data can be used as a validation data set to verify and optimize the model. By comparing the model prediction results with the actual observation results of the validation data set, the performance of the model can be evaluated and adjusted and improved as needed.

[0071] After the test, the established degradation model can be deeply analyzed and evaluated. By analyzing the performance changes of concrete in different time periods, the impact of salt water erosion and humidity changes on the durability of concrete can be understood. At the same time, the performance changes of concrete in the future can be predicted based on the degradation model, providing a scientific basis for engineering design and maintenance.

[0072] In addition, the system of the present invention can also be used to study the deterioration law of concrete under different concentrations of salt water and different humidity conditions. By changing the solution concentration in the solution storage tank 101 and the humidity setting of the test box 501, different environmental conditions can be simulated to further explore the durability and performance changes of concrete under different environments.

[0073] In summary, the humidity control environment detection system and method with automatic solution concentration control and real-time crack observation functions provided by the present invention can accurately control the test conditions, monitor the crack development of concrete samples in real time, and establish a degradation model through data processing software, which provides an effective means for evaluating the durability and performance changes of concrete in a salt water environment. The system and method have broad application prospects and can be applied to geotechnical engineering, underground engineering, mining engineering and other fields, providing a scientific basis for the selection and application of engineering materials.

[0074] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A humidity control environment detection system with automatic solution concentration control and real-time crack observation functions, characterized in that: include: The intelligent solution control module comprises a solution storage tank (101), an intelligent concentration regulating pump (102), a concentration sensor (103) and a solution heating device (104), wherein the solution storage tank (101) is used to store the solution required for the test; the intelligent concentration regulating pump (102) is connected to the solution storage tank (101) through a pipeline; the concentration sensor (103) is arranged in the solution storage tank (101) or on a pipeline connected thereto, and monitors the concentration of the solution in real time; the solution heating device (104) is arranged outside or inside the solution storage tank (101), and is used to heat the solution; The humidity control module comprises a high-efficiency distilled water tank (201), an intelligent humidity control pump (202), a humidity sensor (203) and a mixed gas chamber (204), wherein the high-efficiency distilled water tank (201) is connected to the intelligent humidity control pump (202) through a pipeline; the intelligent humidity control pump (202) is connected to the mixed gas chamber (204) through a pipeline, and adjusts the humidity entering the test box according to the feedback of the humidity sensor (203); the humidity sensor (203) is respectively arranged in the test box (501), the solution storage tank (101) and the mixed gas chamber (204), and is connected to the data acquisition instrument (401) through a cable to monitor the environmental humidity in real time; the mixed gas chamber (204) is connected to the test box (501) through a pipeline, and is used to mix air and steam; A crack monitoring module, comprising a high-precision crack observation camera (301) and an acoustic emission detector (302), wherein the high-precision crack observation camera (301) and the acoustic emission detector (302) are both installed outside or inside the test box (501) through a bracket or a fixing device, and are connected to a data acquisition instrument (401) through a cable to transmit crack information in real time; The data acquisition and analysis module comprises a data acquisition instrument (401), a computer (402) and a data communication interface (403); the data acquisition instrument (401) is respectively connected to the concentration sensor (103) and the humidity sensor (203); the computer (402) is connected to the data acquisition instrument (401) via the data communication interface (403) to achieve data storage, processing and analysis; the data communication interface (403) is arranged between the data acquisition instrument (401) and the computer (402); The test box module comprises a transparent test box (501), a sample placement platform (502) and a hollow bottom plate (503); the transparent test box (501) is provided with the sample placement platform (502) and the hollow bottom plate (503); the sample placement platform (502) is fixed inside the transparent test box (501) and is used to place and fix test materials; the hollow bottom plate (503) is arranged at the bottom of the transparent test box (501).

2. The humidity control environment detection system with automatic solution concentration control and crack real-time observation function according to claim 1 is characterized in that: The intelligent concentration regulating pump (102) adopts a closed-loop control system and is connected to the concentration sensor (103) through a pipeline to dynamically adjust the solution flow and concentration according to real-time feedback.

3. The humidity control environment detection system with automatic solution concentration control and real-time crack observation function according to claim 1 is characterized in that: The high-efficiency distilled water tank (201) has a built-in multi-stage filtering device and is connected to the intelligent humidity control pump (202) via a pipeline to provide distilled water without impurities.

4. The humidity control environment detection system with automatic solution concentration control and crack real-time observation function according to claim 1 is characterized in that: The mixed gas chamber (204) is provided with a temperature and humidity regulating device and is connected to the test box (501) via a pipeline.

5. The humidity control environment detection system with automatic solution concentration control and real-time crack observation function according to claim 1 is characterized in that: The high-precision crack observation camera (301) uses a high-resolution lens and is installed outside or inside the test box (501) through a fixing device, and can capture tiny crack changes on the surface of the material.

6. The humidity control environment detection system with automatic solution concentration control and crack real-time observation function according to claim 1 is characterized in that: The data communication interface (403) supports both wired and wireless communication modes and is arranged between the data acquisition instrument (401) and the computer (402).

7. A detection method using the humidity control environment detection system with automatic solution concentration control and crack real-time observation functions according to any one of claims 1 to 6, characterized in that: The following steps are involved: S1. Setting and adjusting solution concentration and humidity conditions: According to the test requirements, the concentration of the solution in the solution storage tank (101) is set, and the intelligent concentration regulating pump (102) receives feedback data from the concentration sensor to dynamically adjust the flow rate of the solution to maintain a stable concentration; Setting the humidity conditions in the test box (501), and receiving feedback from the humidity sensor through the intelligent humidity control pump (202), and adjusting the amount of steam entering the test box to maintain constant humidity; S2. Placement and fixation of the sample to be tested: Placing the geological engineering material to be tested on a sample placement platform (502) in a test box (501); Use appropriate fixtures to ensure that the specimen remains stationary during the test; S3. Startup and monitoring of system operation: Starting the system so that the intelligent concentration regulating pump (102) and the intelligent humidity regulating pump (202) respectively regulate the flow rate and concentration of the solution and the humidity of the test chamber (501) according to preset conditions; At the same time, a high-precision crack observation camera (301) and an acoustic emission detector (302) are started to monitor the crack development on the material surface in real time, and transmit the data to a data acquisition device (401); S4. Capture and processing of image signals: A high-precision crack observation camera (301) captures images of the material surface, and performs preprocessing, feature extraction and crack identification through an image processing algorithm to determine specific parameters of the cracks; The acoustic emission detector (302) receives the acoustic emission signal inside the material and identifies it through a signal analysis algorithm to determine the existence and development of cracks; S5. Data collection and analysis and establishment of degradation model: The data acquisition device (401) collects data from all sensors and transmits the data to the computer (402) through the data communication interface (403); The computer (402) uses advanced algorithms and models to conduct in-depth learning and analysis on the collected data, and establishes a material degradation model to evaluate the performance change pattern of the material under specific conditions.

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