Multidirectional repairing method for damaged wood component of ancient building
Through three-dimensional laser scanning and micro imaging technology combined with intelligent algorithms, combined with robot automated processing and real-time monitoring, the incomplete repair problem caused by damage assessment errors in ancient building wooden components is solved, and accurate repair and long-term stability are achieved.
Patent Information
- Application Number
- CN202510283637.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-11
- Publication Date
- 2025-07-11
AI Technical Summary
There are subjective errors in the damage assessment of damaged wooden components of ancient buildings in the prior art, resulting in incomplete repair or secondary damage. The traditional restoration process is not effective on severely damaged components.
Three-dimensional laser scanning and micro imaging technology are used to combine intelligent algorithms to generate accurate repair solutions, and the repair process is monitored in real time through pressure sensors and temperature and humidity sensors, combined with robot automated processing and regular inspections to ensure repair accuracy and stability.
Accurate evaluation and repair of ancient building wooden components has been achieved, secondary damage has been avoided, and long-term stability and structural safety of the restoration effect have been ensured.
Smart Images
Figure CN120291728A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of ancient building restoration, and specifically to a multi-directional restoration method for damaged wooden components of ancient buildings. Background Art
[0002] A multi-directional restoration method for damaged wooden components of ancient buildings mainly includes several main links such as a comprehensive inspection of the damaged wooden components, damage assessment, restoration plan design, implementation, and follow-up assessment of the restoration effect. In this process, first, through a detailed inspection, the damage situation of the wooden components is evaluated, such as cracks, decay, deformation, etc. Then, according to the damaged degree of the wooden components, a suitable restoration plan is designed, and restoration methods such as reinforcement, splicing, replacement, and leak repair may be adopted. In the restoration process, a combination of traditional woodworking techniques and modern technologies is used, such as using wood joining techniques, strength reinforcement materials, and anti-corrosion and insect-proof measures, etc., to ensure that the restored wooden components can restore their historical and cultural values and at the same time meet the requirements of structural safety.
[0003] Although this multi-directional restoration method has a relatively complete restoration process, there are still certain defects. The restoration effect depends on the accuracy of the damage assessment of the wooden components. If the assessment is insufficient or there are subjective errors, it may lead to incomplete restoration or even secondary damage to the wooden components. Some traditional restoration techniques may be inadequate under modern technical conditions, especially for some severely damaged components, and the traditional restoration methods may not achieve the expected effect. Summary of the Invention
[0004] In view of the deficiencies of the prior art, the present invention provides a multi-directional restoration method for damaged wooden components of ancient buildings, which solves the problems that insufficient assessment or subjective errors may lead to incomplete restoration or even secondary damage to the wooden components, and that traditional restoration techniques cannot achieve the expected effect on some severely damaged components.
[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A multi-directional restoration method for damaged wooden components of ancient buildings, including:
[0006] a. Conduct a comprehensive inspection of the wooden components of ancient buildings. By combining laser scanning technology and traditional manual inspection, use a three-dimensional laser scanner to comprehensively scan the wooden components to generate point cloud data and perform point cloud data analysis;
[0007] b. Apply digital detection to the interior of the wooden components. Combine microscopic imaging techniques such as X-ray imaging technology and infrared thermal imaging technology, use a microscopic microscope to analyze the damage situation of the internal layered structure of the wood, generate a wood damage image through the microscopic imaging technique, and generate assessment data and a damage index;
[0008] c. Generate a repair plan using an intelligent algorithm based on the evaluation data and the damage index;
[0009] d. Select composite wood, eco-friendly preservatives, and synthetic materials according to the repair plan;
[0010] e. Conduct pretreatment on the repair materials using anti-corrosion and anti-insect treatment techniques to ensure that the repaired wooden components have long-term anti-insect and anti-corrosion capabilities;
[0011] f. During the repair process, adopt precise wood splicing and reinforcement techniques, combined with laser cutting and robotic automated processing, to ensure the repair accuracy of each piece of wood;
[0012] g. During the repair process, use pressure sensors and temperature and humidity sensors to monitor the physical changes in the repair area in real time, and use the sensor data to adjust the repair plan in real time to ensure precise control of the repair process;
[0013] h. Inspect the repaired wooden components, and the inspection includes static tests, dynamic response tests, and environmental adaptability tests;
[0014] i. After repair, adjust the temperature and humidity of the wooden components and their environmental adaptability. Use an automatic adjustment system to keep the temperature and humidity within a suitable range to prevent secondary damage caused by environmental factors;
[0015] j. Adopt a regular inspection and long-term monitoring system to ensure the stability of the repaired wooden components during long-term use. The regular inspection combines intelligent inspection equipment and manual inspection to ensure timely discovery of potential problems with the wooden components;
[0016] k. Generate a complete repair file through data storage and cloud management;
[0017] I. Intelligently optimize the repair technical plan based on the real-time monitoring data and the feedback of the repair effect.
[0018] Preferably, the point cloud data analyzes the overall structure and local damage conditions of the wooden component. The specific process uses the formula:
[0019] P(x,y,z) = f(x,y,z);
[0020] where P(x,y,z) represents the point cloud data at different positions on the surface of the wooden component, and f(x,y,z) is the surface model of the wooden component.
[0021] Preferably, the microscopic imaging technology extracts the damaged areas, and the damaged areas include cracks and decayed areas. The microscopic imaging technology evaluates the degree of damage to the wood by calculating the damage index DI:
[0022]
[0023] Among them, D i represents the damage degree of each area of the wooden component, and n is the number of areas.
[0024] Preferably, the repair plan uses an optimization algorithm to solve the optimal parameters in the repair plan, and the generation model of the repair plan is:
[0025]
[0026] Among them, C i is the cost of selecting repair materials, and S i is the repair effect corresponding to the repair plan. The ultimate goal is to minimize the repair cost while maximizing the repair effect.
[0027] Preferably, the stability of the output signals of the pressure sensor and the temperature and humidity sensor is evaluated by the following formula:
[0028]
[0029] Among them, σ s is the standard deviation of the sensor output signal, S i is the measured value of the sensor, and M is the predetermined standard value.
[0030] Preferably, the static test analyzes the structural safety of the wooden component after repair, and the dynamic response evaluates the stability of the wooden component through frequency analysis.
[0031] Preferably, the repair archives are digitally recorded and stored synchronously in the cloud for later query and analysis.
[0032] Preferably, the accuracy error of the wood splicing and reinforcement technology is controlled within 0.5 mm.
[0033] The present invention provides a multi-directional repair method for damaged wooden components of ancient buildings. It has the following beneficial effects:
[0034] This multi-directional repair method for damaged wooden components of ancient buildings effectively solves the problems of insufficient evaluation or subjective errors in the prior art, which may lead to incomplete repair or even secondary damage, by combining advanced laser scanning technology, microscopic imaging technology, and intelligent algorithms. Through the point cloud data generated by three-dimensional laser scanning and high-precision microscopic imaging technology, the overall and local damage conditions of the wooden component can be accurately evaluated, providing a scientific basis for the repair plan. The introduction of intelligent algorithms not only makes the generation of the repair plan more accurate but also can optimize and adjust the repair process according to real-time data to ensure that each step of the repair can achieve the best effect. In addition, precise wood splicing and reinforcement technology, combined with laser cutting and robotic automated processing, ensure the repair accuracy and significantly improve the repair quality.
[0035] By using pressure sensors and temperature and humidity sensors during the repair process, the physical changes in the repair area are monitored in real time, enabling precise control of the repair process and avoiding differences in repair effects caused by environmental fluctuations or operation errors. The repaired wooden components will also undergo static and dynamic response tests to ensure structural safety and long-term stability. Meanwhile, the environmental adaptability adjustment system can maintain the stability of the wooden components after repair and prevent secondary damage caused by temperature and humidity changes. Brief Description of the Drawings
[0036] Figure 1 It is a schematic flow diagram of the present invention. Detailed Embodiments
[0037] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0038] As Figure 1 shown, the embodiments of the present invention provide a multi-directional repair method for damaged wooden components of ancient buildings, including: a. Conduct a comprehensive inspection of the wooden components of ancient buildings. By combining laser scanning technology with traditional manual inspection, use a three-dimensional laser scanner to comprehensively scan the wooden components to generate point cloud data, and perform point cloud data analysis. The point cloud data analysis is used to analyze the overall structure and local damage conditions of the wooden components. The specific process adopts the formula:
[0039] P(x,y,z) = f(x,y,z);
[0040] where P(x,y,z) represents the point cloud data at different positions on the surface of the wooden component, and f(x,y,z) is the surface model of the wooden component. During the point cloud data analysis process, the density requirement of the point cloud data is further limited to not less than 5000 points per cubic meter, which can ensure the complete presentation of the details of the wooden component and avoid missing damage due to sparse data.
[0041] b. Apply digital detection to the interior of the wooden component. Combine microscopic imaging technologies such as X-ray imaging technology and infrared thermal imaging technology. Use a microscopic microscope to analyze the damage of the internal layered structure of the wood. Generate wood damage images through microscopic imaging technology to generate evaluation data and damage indices. The microscopic imaging technology extracts the damaged area, and the damaged area includes cracks and decayed areas. The microscopic imaging technology evaluates the degree of wood damage by calculating the damage index D I:
[0042]
[0043] Among them, D i represents the damage degree of each area of the wooden component. n is the number of areas. The resolution of X-ray imaging technology should be no less than 1 mm, and the resolution of infrared thermal imaging technology should be no less than 0.5 mm to ensure the accurate assessment of internal damage of the wooden component.
[0044] c. Based on the evaluation data and damage index, use an intelligent algorithm to generate a repair plan. The training data set of the intelligent algorithm contains at least 200 historical repair cases to ensure accurate prediction of complex damaged situations and generate an efficient repair plan.
[0045] d. According to the repair plan, select composite wood, environmentally friendly preservatives, and synthetic materials. The repair plan uses an optimization algorithm to solve the optimal parameters in the repair plan. The generation model of the repair plan is:
[0046]
[0047] Among them, C i is the cost of selecting repair materials, S i is the repair effect corresponding to the repair plan. The ultimate goal is to minimize the repair cost while maximizing the repair effect. The strength requirement of the selected composite wood should be no less than 50 MPa, and the used preservative should meet the effectiveness requirements of ISO 1250-2 standard to ensure the long-term stability of the repaired wooden component in different environments.
[0048] e. Conduct pretreatment on the repair materials with anti-corrosion and anti-insect treatment technologies to ensure that the repaired wooden component has long-term anti-insect and anti-corrosion capabilities.
[0049] f. During the repair process, adopt precise wood splicing and reinforcement technologies, combined with laser cutting and robot automation processing, to ensure the repair accuracy of each piece of wood. The accuracy error of the wood splicing and reinforcement technology is controlled within 0.5 mm.
[0050] g. During the repair process, use pressure sensors and temperature and humidity sensors to monitor the physical changes in the repair area in real time, and use the sensor data to adjust the repair plan in real time to ensure precise control of the repair process. The stability of the output signals of the pressure sensors and temperature and humidity sensors is evaluated by the following formula:
[0051]
[0052] Among them, σ s is the standard deviation of the sensor output signal, S i is the measured value of the sensor, and M is the predetermined standard value.
[0053] h. Inspect the repaired wooden components. The inspection includes static tests, dynamic response tests, and environmental adaptability tests. The static tests analyze the structural safety of the repaired wooden components, and the dynamic response evaluates the stability of the wooden components through frequency analysis.
[0054] i. After repair, adjust the temperature and humidity of the wooden components and their environmental adaptability. Use an automatic adjustment system to maintain the temperature and humidity within an appropriate range to prevent secondary damage caused by environmental factors. The temperature and humidity adjustment system should be able to respond to environmental changes within 30 seconds to quickly adjust the environmental adaptability of the wooden components and prevent secondary damage caused by temperature and humidity fluctuations.
[0055] j. Adopt a regular inspection and long-term monitoring system to ensure the stability of the repaired wooden components during long-term use. The regular inspection combines intelligent inspection equipment and manual inspection to ensure timely detection of potential problems with the wooden components.
[0056] k. Through data storage and cloud management, generate a complete repair file. The repair file is digitally recorded and synchronously stored in the cloud for later query and analysis. The digital storage format of the repair file should be high-resolution images and structured data to ensure more accurate later analysis and traceability.
[0057] I. According to the real-time monitoring data and feedback on the repair effect, intelligently optimize the repair technical solution.
[0058] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A multi-directional repair method for damaged wooden components of ancient buildings, characterized in that, Including: a. Conduct a comprehensive inspection of the wooden components of ancient buildings. By combining laser scanning technology with traditional manual inspection, use a three-dimensional laser scanner to comprehensively scan the wooden components, generate point cloud data, and perform point cloud data analysis; b. Apply digital detection to the interior of the wooden components. Combine microscopic imaging technologies such as X-ray imaging technology and infrared thermal imaging technology. Use a microscopic microscope to analyze the damage of the internal layered structure of the wood. Generate wood damage images through microscopic imaging technology, and generate evaluation data and damage indices; c. Based on the evaluation data and damage indices, use intelligent algorithms to generate repair plans; d. According to the repair plan, select composite wood, environmentally friendly preservatives, and synthetic materials; e. Conduct pretreatment on the repair materials using anti-corrosion and insect-proof treatment technologies to ensure that the repaired wooden components have long-term insect and corrosion resistance; f. During the repair process, adopt precise wood splicing and reinforcement technologies, combined with laser cutting and robot automation processing, to ensure the repair accuracy of each piece of wood; g. During the repair process, use pressure sensors and temperature and humidity sensors to monitor the physical changes in the repair area in real time. Use the sensor data to adjust the repair plan in real time to ensure precise control of the repair process; h. Conduct inspections on the repaired wooden components. The inspections include static tests, dynamic response tests, and environmental adaptability tests; i. After repair, adjust the temperature and humidity of the wooden components and adjust the environmental adaptability. Use an automatic adjustment system to keep the temperature and humidity within an appropriate range to prevent secondary damage caused by environmental factors; j. Adopt a regular inspection and long-term monitoring system to ensure the stability of the repaired wooden components during long-term use. The regular inspections are combined with intelligent inspection equipment and manual inspections to ensure timely discovery of potential problems with the wooden components; k. Generate a complete repair file through data storage and cloud management; I. Intelligently optimize the repair technical plan according to the real-time monitoring data and feedback on the repair effect.
2. The multi-directional repair method for damaged wooden components of ancient buildings according to claim 1, characterized in that: The point cloud data analysis analyzes the overall structure and local damage conditions of the wooden components. The specific process uses the formula: P(x,y,z)=f(x,y,z); where P(x,y,z) represents the point cloud data at different positions on the surface of the wooden component, and f(x,y,z) is the surface model of the wooden component.
3. A multi-directional repair method for damaged wooden components of ancient buildings according to claim 1, characterized in that: The microscopic imaging technology extracts the damaged areas. The damaged areas include cracks and decayed areas. The microscopic imaging technology evaluates the degree of wood damage by calculating the damage index DI: Among them, D i represents the damage degree of each area of the wooden component, and n is the number of areas.
4. A multi-directional repair method for damaged wooden components of ancient buildings according to claim 1, characterized in that: The repair plan uses an optimization algorithm to solve the optimal parameters in the repair plan. The generation model of the repair plan is: Among them, C i is the cost of selecting the repair material, S i is the repair effect corresponding to the repair plan. The ultimate goal is to minimize the repair cost while maximizing the repair effect.
5. A multi-directional repair method for damaged wooden components of ancient buildings according to claim 1, characterized in that: The stability of the output signals of the pressure sensors and temperature and humidity sensors is evaluated by the following formula: Among them, σ s is the standard deviation of the sensor output signal, S i is the measured value of the sensor, and M is a predetermined standard value.
6. The multi-directional repair method for damaged wooden components of ancient buildings according to claim 1, characterized in that: The static test analyzes the structural safety of the repaired wooden component, and the dynamic response evaluates the stability of the wooden component through frequency analysis.
7. A multi-directional repair method for damaged wooden components of ancient buildings according to claim 1, characterized in that: The repair file is digitally recorded and synchronously stored in the cloud for later query and analysis.
8. A multi-directional restoration method for damaged wooden components of ancient buildings according to claim 1, characterized in that: The accuracy error of the wood splicing and reinforcement technology is controlled within 0.5 millimeters.