Microbial patch for intelligently repairing shield segment crack and use method thereof

Abstract

The invention discloses a microbial patch for intelligent repair of shield segment cracks and a use method thereof, and relates to the technical field of shield segment crack repair. In order to solve the problem that the repairing effect of an existing repairing method is not lasting, the following technical scheme is provided: the device comprises a flexible carrier, a microbial repairing material and a waterproof layer. The flexible carrier serves as a substrate of the microbial remediation material and the waterproof layer so as to be tightly attached to the crack of the shield segment. The flexible carrier is a polymer film or a fiber fabric. The polymer film, such as polyurethane or polyethylene, has excellent flexibility and corrosion resistance, and can well adapt to the shape and size of the crack. The fiber fabric, such as cotton cloth or non-woven fabric, has better air permeability and water permeability, and is beneficial to growth and reproduction of microorganisms. The method further has the advantages of being environmentally friendly, safe, easy to operate and the like, is suitable for crack repairing work in various complex environments, improves the repairing quality and effect, guarantees safe operation of the tunnel, and prolongs the service life of the tunnel.

Description

Technical Field

[0001] The present invention relates to the technical field of shield segment crack repair, and specifically relates to a microbial patch for intelligent repair of shield segment cracks and a using method thereof. Background Art

[0002] As is well known, during the long-term operation of shield tunnels, cracks are likely to occur due to factors such as geological conditions, construction quality, and external loads. Cracks not only affect the aesthetics of the tunnel but may also lead to water seepage, further affecting the structural safety and durability. Water seepage is one of the most common diseases in shield tunnels, which can cause steel bar corrosion, reduce the structural strength, and threaten the operation safety of subway tunnels. Water seepage can also make the internal environment of the tunnel humid, affecting the comfort of passengers. The spalling of concrete on the surface of the tunnel lining is also a common disease, and the spalled part may fall off, posing a safety hazard to the equipment and pedestrians in the tunnel. Traditional subway tunnel disease detection methods mostly use manual inspections, manual photography, and other means to collect data. This method is time-consuming and laborious, and is easily affected by human factors, resulting in low accuracy and reliability of the detection results. With the rapid development of urban rail transit, the length and number of tunnels are increasing continuously, and the traditional manual detection method cannot meet the needs of efficient and rapid detection.

[0003] Manual inspection depends on the experience and judgment of inspectors, has great subjectivity, and it is difficult to ensure the consistency and accuracy of detection results. Traditional repair methods mainly rely on chemical materials, which have problems such as environmental pollution and short-lasting repair effects. There is a need for an environmentally friendly and long-lasting repair method that can effectively repair cracks and prevent the recurrence of diseases. Therefore, it is necessary to propose a solution to this technical problem. Summary of the Invention

[0004] The purpose of the present invention is to provide a microbial patch for intelligent repair of shield segment cracks and a using method thereof to solve the problem of short-lasting repair effects of existing repair methods.

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

[0006] A microbial patch for intelligent repair of shield segment cracks, which includes: a flexible carrier, one side of the flexible carrier is covered with a microbial repair material, and the other side of the flexible carrier is covered with a waterproof layer.

[0007] Further, the microbial repair material includes bacteria, fungi, and enzymes, which are used to secrete gelling substances to promote self-repair at the crack.

[0008] Further, the bacteria are Bacillus or Lactobacillus; the fungi are Saccharomyces cerevisiae or mold; the enzymes are protease or lipase.

[0009] Furthermore, the flexible carrier is a polymer film or a fiber fabric, which is used to closely adhere to the cracks of the shield segment.

[0010] Furthermore, the polymer film is polyurethane or polyethylene; the fiber fabric is cotton cloth or non-woven fabric.

[0011] Furthermore, the waterproof layer is a waterproof coating or a waterproof membrane, which is used to prevent water from entering the cracks.

[0012] Furthermore, the waterproof coating is epoxy resin or polyurethane; the waterproof membrane is a polyethylene film or a polyvinyl chloride film.

[0013] A method for using a microbial patch for intelligent repair of shield segment cracks includes the following steps:

[0014] S1. Use a mobile laser scanning system to scan the shield tunnel. The mobile laser scanning system obtains the full cross-section information of the tunnel through high sampling frequency and rotation frequency, generates three-dimensional point cloud data, and improves the data accuracy through point cloud denoising and ellipse fitting preprocessing;

[0015] S2. Adopt a deep learning algorithm to automatically identify and quantify the leakage and spalling diseases on the surface of the tunnel lining, and determine the crack position and crack size;

[0016] S3. Customize the microbial patch according to the position and size of the crack, and the size of the customized microbial patch is larger than the actual size of the crack;

[0017] S4. Use a high-pressure water gun or a brush to clean the dust and impurities in the crack, and ensure that the area around the crack is clean without residues;

[0018] S5: Attach the microbial patch to the crack, and ensure that the microbial patch is completely attached to the crack without gaps;

[0019] S6. After the microorganisms are attached, adjust the environmental temperature and humidity according to the characteristics of the microbial repair material to promote the growth and reproduction of microorganisms, accelerate the crack repair, maintain the temperature and humidity conditions after repair, and regularly monitor the environmental conditions to maintain the microbial activity and repair effect;

[0020] S7. After the repair is completed, use the laser scanner to scan the repaired area again for full coverage. Use ellipse fitting to calculate the convergence deformation value, ellipticity and inter-ring offset value of the tunnel cross-section, generate a grayscale image for disease identification, import the three-dimensional point cloud data before and after repair into the comparative analysis software, display the change of the crack position through color coding or transparency adjustment, calculate the change of the crack width before and after repair, measure the surface flatness of the repaired area, and evaluate the bonding condition between the repair material and the original structure.

[0021] A method for preparing a microbial patch for intelligent repair of shield segment cracks, characterized in that it comprises the following steps:

[0022] S1. Preparation of microbial remediation materials: selecting a culture medium, inoculating microorganisms into the culture medium, fermenting the microorganisms, extracting the microorganisms and their metabolites by centrifugation or filtration, and concentrating the extract;

[0023] S2. Processing and selecting the flexible carrier: cleaning the flexible carrier and disinfecting the cleaned flexible carrier;

[0024] S3. Applying the microbial remediation material: evenly applying the concentrated microbial remediation material on the flexible carrier, using a sprayer or a roller to perform the coating operation, so that the microbial remediation material is evenly distributed on the flexible carrier;

[0025] S4. Applying a waterproof layer: Select a waterproof material, evenly apply the waterproof material on the flexible carrier coated with the microbial repair material, use a brush or spray equipment to apply the waterproof material to form a continuous waterproof layer, and solidify the waterproof material in a constant temperature and humidity environment to produce a microbial patch;

[0026] S5. Cutting patches: According to the location and size of the crack, cut the prepared microbial patch into appropriate size, so that the patch size is slightly larger than the crack size.

[0027] Furthermore, the deep learning algorithm in step S2 includes MaskR-CNN.

[0028] The present invention has the following beneficial effects:

[0029] The microbial repair materials used in the microbial patch of the present invention include bacteria, fungi and enzymes. These microorganisms can secrete gelling substances to promote self-repair of cracks, without the need to use harmful chemical repair agents, and are environmentally friendly. The microbial repair process is a natural and sustainable repair method that conforms to the green and low-carbon development concept.

[0030] The present invention uses a mobile laser scanning system and a deep learning algorithm to achieve automatic identification and quantification of cracks in shield tunnels, greatly improving the accuracy of crack detection and positioning, reducing manual intervention, and improving work efficiency. Customized microbial patches can be precisely cut according to the actual location and size of the cracks, ensuring that the patches fit the cracks perfectly, further improving the repair effect.

[0031] Microbial patches can not only effectively repair cracks, but also promote the growth and reproduction of microorganisms by adjusting environmental temperature and humidity, accelerating the repair process and improving repair efficiency. After the repair is completed, the laser scanner can be used to conduct a full coverage scan and comparative analysis of the repair area to accurately evaluate the repair effect and ensure the quality of the repair.

[0032] The microbial patch is applicable to the repair of different types of shield segment cracks, including cracks of different sizes, shapes and positions. The selection of a flexible carrier (such as a polymer film or a fiber fabric) enables the patch to closely adhere to the crack surface, making it suitable for crack repair under various complex environmental conditions. The microbial patch has a lower cost compared to traditional crack repair methods. The microbial repair material is easy to prepare and store, and the repair process does not require complex equipment and processes. In the long term, the microbial repair method can extend the service life of shield segments, reduce the frequency of maintenance and replacement, thereby reducing the maintenance cost. Description of the Drawings

[0033] Figure 1 It is a schematic structural diagram of the microbial patch for intelligent repair of shield segment cracks of the present invention;

[0034] Figure 2 It is a schematic diagram of the structural materials of the microbial patch for intelligent repair of shield segment cracks of the present invention;

[0035] Figure 3 It is a schematic diagram of the usage process of the microbial patch for intelligent repair of shield segment cracks of the present invention;

[0036] Figure 4 It is a schematic diagram of the digital image processing process of the diseases in the usage method of the present invention;

[0037] Figure 5 It is a schematic diagram of the detailed image processing process in the usage method of the present invention;

[0038] Figures 1 to 2 The reference numerals shown in the figure are respectively represented as: 1 - flexible carrier, 2 - microbial repair material, 3 - waterproof layer. Detailed Embodiments

[0039] The technical solutions of the present invention will be described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0040] Please refer to Figures 1 - 5 , the present invention provides a microbial patch for intelligent repair of shield segment cracks, and its structural design and preparation method are both carefully designed and optimized to ensure that the cracks of shield segments can be repaired efficiently and accurately in practical applications. The following is a detailed description of the microbial patch and its usage method.

[0041] First, the composition of the microbial patch mainly includes a flexible carrier 1, a microbial repair material 2, and a waterproof layer 3. The flexible carrier 1 serves as the substrate for the microbial repair material 2 and the waterproof layer 3, and has good flexibility and adhesiveness to closely adhere to the cracks on the shield segment. In this embodiment, the flexible carrier 1 can be selected from polymer films or fiber fabrics. Polymer films such as polyurethane or polyethylene have excellent flexibility and corrosion resistance, and can well adapt to the shape and size of the cracks. Fiber fabrics such as cotton cloth or non-woven fabric have better air permeability and water permeability, which are beneficial to the growth and reproduction of microorganisms.

[0042] The microbial repair material 2 is the core part of the microbial patch. It contains microorganisms that can secrete gelling substances, such as bacteria, fungi, and enzymes. After being activated under specific conditions, these microorganisms can secrete gelling substances such as calcium carbonate and silicate to fill the cracks and restore the integrity and tightness of the shield segment. In this embodiment, bacteria can be selected from Bacillus or Lactobacillus, which have strong viability and reproductive ability and can grow rapidly and play a role in the crack environment. Fungi can be selected from yeast or mold, which can decompose harmful substances and improve the microenvironment around the cracks. Enzymes can be selected from protease or lipase, which can catalyze specific chemical reactions to promote the growth of microorganisms and the secretion of gelling substances.

[0043] To prepare the microbial repair material 2, first, a culture medium suitable for the growth of microorganisms, such as glucose, yeast extract, peptone, etc., needs to be selected. The selected microorganisms are inoculated into the culture medium and fermented under suitable temperature (usually about 30°C) and humidity conditions to allow the microorganisms to multiply in large numbers. After fermentation, the microorganisms and their metabolites are extracted by methods such as centrifugation and filtration, and concentrated to increase the concentration of the active ingredients of the repair material.

[0044] The waterproof layer 3 is provided to prevent water from entering the cracks and affecting the growth and repair effect of microorganisms. In this embodiment, the waterproof layer 3 can be selected from waterproof coatings or waterproof membranes. Waterproof coatings such as epoxy resin or polyurethane have good waterproof performance and adhesion, and can form a dense waterproof layer. Waterproof membranes such as polyethylene film or polyvinyl chloride film have higher waterproof performance and durability, and can long-term protect the cracks from water erosion.

[0045] When preparing the microbial patch, it is first necessary to clean and disinfect the flexible carrier 1 to ensure that its surface is clean and sterile. Then, the extracted and concentrated microbial repair material 2 is evenly coated on the flexible carrier 1, and a sprayer or roller is used for the coating operation to ensure the uniformity of the coating. Next, a suitable waterproof material is selected and evenly coated on the flexible carrier 1 coated with the microbial repair material 2 to form a waterproof layer 3. When coating the waterproof material, a brush or spraying equipment can be used to ensure the integrity and continuity of the waterproof layer. Finally, under suitable temperature and humidity conditions, the waterproof material is cured to form a stable waterproof layer.

[0046] According to the specific position and size of the crack, the prepared microbial patch is cut into a suitable size to ensure that the size of the patch is slightly larger than the actual size of the crack to ensure a good coverage effect. Before attaching the microbial patch, it is necessary to use a high-pressure water gun or brush to clean the dust and impurities around the crack to ensure that the patch can adhere firmly to the surface of the segment. After cleaning, check whether the area around the crack is clean to ensure that there is no residual dust and impurities. If necessary, a hair dryer or other tools can be used to thoroughly dry the crack area to improve the adhesion of the patch.

[0047] When attaching the microbial patch to the crack, it is necessary to ensure that the patch fits completely with the crack without leaving any gaps. Appropriate tools or methods, such as pressure-sensitive tape or special adhesives, can be used to enhance the adhesion of the patch. After attachment, according to the characteristics of the microbial repair material 2, appropriate temperature and humidity conditions are given to promote the growth and reproduction of microorganisms and the secretion of gelling substances. Usually, it is necessary to maintain the relative humidity at about 70% within the temperature range of 20°C to 30°C to facilitate the activity of microorganisms.

[0048] To evaluate the repair effect, the repaired area can be scanned again using a laser scanner after the repair is completed. The sampling frequency and rotation frequency of the laser scanner need to be set high enough to ensure the comprehensiveness and accuracy of data collection. In this embodiment, the sampling frequency of the laser scanner can be set to 1 MHz, and the rotation frequency can be set to 100 Hz. The laser scanner advances on the track by moving the detection trolley to scan and measure the entire cross-section of the tunnel. During the scanning process, the laser reflection intensity values are standardized and stored in the range of 0 to 255 to form a dimensionless data set.

[0049] Preprocess the original point cloud data, including operations such as denoising and removing the point cloud data that does not belong to the lining segments. Then, use ellipse fitting to calculate the convergence deformation value, ovality, and inter-ring stagger value of the tunnel cross-section. Generate a grayscale image from the point cloud data, where the grayscale value of each pixel reflects the laser intensity value, which can be used to identify the water leakage and spalling diseases on the tunnel lining surface. In this embodiment, the Mask R-CNN deep learning instance segmentation network is used for the automatic identification and quantification of water leakage and concrete spalling diseases on the inner surface of the tunnel lining. The Mask R-CNN network can accurately detect information such as the location and area of the diseases, reducing the errors and time costs of manual operations.

[0050] Import the 3D point cloud data before and after repair into professional software for comparative analysis. Intuitively display the change of the crack position through color coding or transparency adjustment. Calculate the change of the crack width before and after repair, and use statistical methods such as mean and standard deviation to quantify the degree of crack closure. Analyze whether the crack edges are completely coincident and whether there are new tiny cracks generated to judge the quality of crack closure. Measure the surface flatness and the change of flatness in the repair area to evaluate the bonding condition between the repair material and the original structure. Check whether there are obvious color differences or texture inconsistencies on the surface after repair to ensure visual consistency.

[0051] To further verify the repair effect, mechanical property tests such as compressive strength and tensile strength can be carried out. Compare the maximum bearing capacity of the specimens before and after repair and its change trend. If conditions permit, conduct a destructive test to observe the fracture mode of the specimens after repair to further verify the repair effect.

[0052] In addition, appropriate slices of the specimens before and after repair can be taken, and a scanning electron microscope (SEM) can be used to observe their surface morphology, and an energy dispersive spectrometer (EDS) can be used to detect the element composition. Analyze the presence and distribution characteristics of CaCO3 precipitation to verify the effectiveness of microbial mineralization deposition. Use X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR) techniques to analyze the crystal structure and chemical composition of the repair material. Compare the mineral composition differences of the specimens before and after repair to confirm whether new mineral phases are generated, so as to evaluate the chemical reaction progress during the repair process.

[0053] In practical applications, the usage method of the microbial patch is as follows:

[0054] First, scan the shield tunnel using a mobile laser scanning system. The mobile laser scanning system obtains the full cross-section information of the tunnel through high sampling frequency and rotation frequency, and generates 3D point cloud data. Improve the data accuracy through point cloud denoising and ellipse fitting preprocessing. Then, use deep learning algorithms to automatically identify and quantify the water leakage and spalling diseases on the tunnel lining surface, and determine the crack position and crack size.

[0055] Customize the microbial patch according to the location and size of the crack. The size of the customized microbial patch needs to be larger than the actual size of the crack to ensure good coverage. Then, use a high-pressure water gun or brush to clean the dust and impurities in the crack and ensure that the area around the crack is clean without residues. Attach the microbial patch to the crack, ensuring that the microbial patch fits perfectly with the crack without gaps.

[0056] After the microbes are attached, adjust the environmental temperature and humidity according to the characteristics of the microbial repair material. Promote the growth and reproduction of microbes and accelerate the crack repair. After the repair, maintain the temperature and humidity conditions and regularly monitor the environmental conditions to maintain the microbial activity and repair effect. Finally, after the repair is completed, use the laser scanner to conduct a full-coverage scan of the repaired area again. Use ellipse fitting to calculate the convergence deformation value, ellipticity, and misalignment value between rings of the tunnel cross-section and generate a grayscale image for disease identification. Import the 3D point cloud data before and after the repair into the comparative analysis software, display the change in the crack position by means of color coding or transparency adjustment, and calculate the change in the crack width before and after the repair. Measure the surface flatness of the repaired area and evaluate the bonding condition between the repair material and the original structure.

[0057] In summary, the microbial patch for intelligent repair of shield segment cracks and its usage method provided by the present invention have significant technical advantages and application prospects. The microbial patch can efficiently and accurately repair the cracks in the shield segment and restore its integrity and sealing performance. At the same time, this method also has the advantages of environmental protection, safety, and easy operation, and is suitable for crack repair work in various complex environments. Through the precise identification and quantification of 3D scanning technology and deep learning algorithms, the accuracy and effectiveness of the repair work can be ensured, and the quality and effect of the repair can be improved. In addition, this method can also timely detect potential diseases and take preventive maintenance measures to ensure the safe operation of the tunnel and extend its service life.

[0058] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A microbial patch for intelligent repair of shield segment cracks, characterized in that, Comprising: A flexible carrier (1), one side of the flexible carrier (1) is covered with a microbial remediation material (2), and the other side of the flexible carrier (1) is covered with a waterproof layer (3).

2. The microbial patch for intelligent repair of shield segment cracks according to claim 1, characterized in that, The microbial remediation material (2) includes bacteria, fungi and enzymes, which are used to secrete gelling substances to promote self-repair at the cracks.

3. The microbial patch for intelligent repair of shield segment cracks according to claim 2, characterized in that, The bacteria are Bacillus or Lactobacillus; the fungi are yeast or mold; the enzymes are protease or lipase.

4. The microbial patch for intelligent repair of shield segment cracks according to claim 1, characterized in that, The flexible carrier (1) is a fiber fabric, and a polymer film is provided on the fiber fabric layer. The fiber fabric is used to closely fit the cracks of the shield segment.

5. The microbial patch for intelligent repair of shield segment cracks according to claim 4, wherein, The polymer film is polyurethane or polyethylene; the fiber fabric is cotton cloth or non-woven fabric.

6. The microbial patch for intelligent repair of shield segment cracks according to claim 1, characterized in that, The waterproof layer (3) is a waterproof coating or a waterproof film, which is used to prevent moisture from entering the cracks.

7. The microbial patch for intelligent repair of shield segment cracks and its usage method according to claim 6, characterized in that, The waterproof coating is epoxy resin or polyurethane; the waterproof film is a polyethylene film or a polyvinyl chloride film.

8. A method for using a microbial patch for intelligent repair of shield segment cracks according to any one of claims 1 to 7, characterized in that, Including the following steps: S1. Use a mobile laser scanning system to scan the shield tunnel. The mobile laser scanning system obtains the full cross-section information of the tunnel through high sampling frequency and rotation frequency, generates three-dimensional point cloud data, and improves the data accuracy through point cloud denoising and ellipse fitting preprocessing; S2. Adopt a deep learning algorithm to automatically identify and quantify the leakage and spalling diseases on the surface of the tunnel lining, and determine the crack position and crack size; S3. Customize the microbial patch according to the position and size of the crack, and the size of the customized microbial patch is larger than the actual size of the crack; S4. Use a high-pressure water gun or a brush to clean the dust and impurities in the crack, and ensure that the surrounding of the crack is clean without residues; S5: Attach the microbial patch to the crack, and ensure that the microbial patch is completely attached to the crack without gaps; S6. After the microorganisms are attached, according to the characteristics of the microbial remediation material (2), adjust the environmental temperature and humidity to promote the growth and reproduction of microorganisms, accelerate the crack repair, and maintain the temperature and humidity conditions after repair. Regularly monitor the environmental conditions to maintain the microbial activity and repair effect; S7. After the repair is completed, use the laser scanner to scan the repaired area again for full coverage. Use ellipse fitting to calculate the convergence deformation value, ellipticity and inter-ring offset value of the tunnel cross-section, generate a grayscale image for disease identification, and import the three-dimensional point cloud data before and after repair into the comparative analysis software. Display the change of the crack position by means of color coding or transparency adjustment, calculate the change of the crack width before and after repair, measure the surface flatness of the repaired area, and evaluate the bonding condition between the repair material and the original structure.

9. A preparation method of a microbial patch for intelligent repair of shield segment cracks according to any one of claims 1 to 7, characterized in that, Including the following steps: S1. Prepare the microbial remediation material (2): Select a culture medium, inoculate the microorganisms into the culture medium, ferment the microorganisms, extract the microorganisms and their metabolites by centrifugation or filtration, and concentrate the extract; S2. Treat and select the flexible carrier (1): Clean the flexible carrier (1), and disinfect the cleaned flexible carrier (1); S3. Coat the microbial remediation material (2): Uniformly coat the concentrated microbial remediation material (2) on the flexible carrier (1), and use a sprayer or a roller for the coating operation to make the microbial remediation material (2) evenly distributed on the flexible carrier (1); S4. Coating the waterproof layer (3): Select waterproof materials and evenly coat the waterproof materials on the flexible carrier (1) coated with the microbial repair material (2). Use a brush or spraying equipment for the coating operation to form a continuous waterproof layer (3) with the waterproof materials. Cure the waterproof materials in a constant temperature and humidity environment to produce the microbial patch. S5. Cutting the patch: According to the position and size of the crack, cut the produced microbial patch into appropriate dimensions so that the patch size is slightly larger than the crack size.

10. The method of using the microbial patch for intelligent repair of shield segment cracks according to claim 8, characterized in that, The deep learning algorithm in step S2 includes MaskR-CNN.

Images