Intelligent construction method and system for repairing ancient building structure

Abstract

The application discloses a kind of wisdom construction method and system for ancient building structure repair, including building evaluation module, repair preplay module, repair evaluation module, interference analysis module, real-time supervision module and initiative early warning module, is through three-dimensional laser scanning and visual image scanning automatic identification quantization damage, overcome the subjectivity and limitation of traditional manual survey, provide comprehensive, accurate data basis for repair scheme, then through building digital twin to repair preplay and construction interference simulation, before scheme implementation, the repair effect, cost, duration and the structural safety risk and environmental interference possibly caused in construction process are evaluated and optimized in multiple rounds, and the final scheme that repair effect and construction safety are considered is screened, and in final scheme construction stage, progress, cost, interference parameter and standard scheme are compared in real time, ensure that construction is strictly executed according to optimized scheme.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of ancient building construction, in particular to a smart construction method and system for repairing ancient building structures. BACKGROUND

[0002] Ancient building maintenance technology is an important part of traditional building construction techniques and belongs to the professional technical field of timber building protection. This technology takes structure as the core and adopts three main methods of beam replacement, beam replacement, and frame dismantling and repair for different degrees of damage. Beam replacement involves replacing and repairing individual deteriorated components locally, beam replacement uses the principle of leverage to correct column and beam inclination, and frame dismantling and repair requires dismantling the overall structure for comprehensive repair. The repair process strictly follows three principles of shape restoration, material adaptation, and technology inheritance, emphasizing minimal intervention and reversibility.

[0003] Currently, there is too much reliance on human experience during the repair process. For example, the damage location and repair scheme are determined through manual survey and experience judgment in the early stage. The survey results are highly subjective and have limited accuracy, making it difficult to fully reflect hidden diseases. In the scheme development stage, it is difficult to accurately simulate and predict the disturbance of the existing structure in terms of structural behavior changes, material matching, and construction operations, relying on manual monitoring and periodic acceptance during construction. There is a lack of real-time, quantitative feedback mechanism for construction quality, process consistency, and structural state changes, which may lead to deviation of the repair effect from the expected result, and even cause secondary damage to the ancient building itself.

[0004] Therefore, the traditional method relies too much on manual work and lacks systematization and process controllability, making it difficult to meet the needs of ancient building protection and repair. Therefore, a solution is proposed. SUMMARY

[0005] The purpose of the present application is to provide a smart construction method and system for repairing ancient building structures to overcome the subjectivity and limitations of traditional manual survey and provide comprehensive and accurate data for repair scheme development. The present application automatically identifies and quantifies damage through three-dimensional laser scanning and visual image scanning, and simulates repair and construction interference through the construction of a digital twin. Before the implementation of the scheme, the repair effect, cost, duration, and potential structural safety risks and environmental disturbances caused by the construction process are evaluated and optimized in multiple rounds to select the final scheme that takes into account the repair effect and construction safety. During the construction phase of the final scheme, the progress, cost, interference parameters, and standard scheme are compared in real time to achieve dynamic and quantitative supervision of the entire repair process, ensuring that the construction is strictly carried out according to the optimized scheme to solve the technical defects proposed in the background art.

[0006] To achieve the above-mentioned application purposes, the technical solutions adopted by the present application are as follows:

[0007] According to one aspect of the present application, a smart construction method for repairing ancient building structures is provided, comprising the following steps:

[0008] Step one: evaluate the ancient building structure through multi-source information collection to obtain the repair target;

[0009] Step two: construct the digital twin of the ancient building according to the collected multi-source information, and perform a repair target rehearsal, and evaluate the repair effect according to the rehearsal result;

[0010] Step three: optimize the building repair scheme based on the repair effect evaluation, and generate a preliminary repair scheme;

[0011] Step four: simulate the implementation of the preliminary repair scheme to obtain the construction interference area and the construction interference degree of the preliminary repair scheme;

[0012] Step five: risk assessment of the construction interference area and the construction interference degree, and secondary optimization of the preliminary repair scheme according to the risk assessment result to obtain the final repair scheme;

[0013] Step six: implement the final repair scheme, and detect the ancient building structure in real time during the implementation process, compare it with the final repair scheme, obtain the implementation difference, and perform deviation warning according to the implementation difference.

[0014] The present application also provides a smart construction system for repairing ancient building structures, comprising a building evaluation module, a repair rehearsal module, a repair evaluation module, an interference analysis module, a real-time supervision module and an active warning module;

[0015] The building evaluation module can obtain the ancient building structure information through three-dimensional laser scanning and visual image scanning, and evaluate the defect points in the ancient building structure information;

[0016] The repair rehearsal module obtains the ancient building structure information through the building evaluation module, constructs the digital twin of the ancient building, and simultaneously performs a repair target rehearsal based on the digital twin of the ancient building;

[0017] The repair evaluation module obtains the repair target rehearsal result of the digital twin of the ancient building, evaluates the repair time, repair cost and repair effect during the rehearsal process, and optimizes the scheme based on the evaluation result to obtain a preliminary repair scheme;

[0018] The interference analysis module simulates the construction interference area and the construction interference degree of the preliminary repair scheme, and obtains the risk assessment result, and re-optimizes the preliminary repair scheme based on the risk assessment result to obtain the final repair scheme;

[0019] The real-time supervision module obtains the final repair scheme and records it as a standard implementation scheme, and when the final repair scheme is implemented, an actual implementation scheme is obtained based on the multi-source information collection results, the standard implementation scheme and the actual implementation scheme are compared, and an implementation difference is obtained.

[0020] The active early warning module corrects the implementation difference and generates a deviation early warning.

[0021] Preferably, when collecting the ancient building structure information, the building evaluation module obtains structure damage information through the results of three-dimensional laser scanning, and obtains texture damage information through the results of visual image scanning. The structure damage information includes structure fracture and structure tilt, and the texture damage information includes crack damage and surface damage.

[0022] Preferably, the structure damage information obtaining step of the building evaluation module is:

[0023] S1: Obtain a 3D point cloud contour of a structure based on the results of three-dimensional laser scanning, analyze the 3D point cloud contour, obtain the center axis of a straight structure, and calculate the angle of the center axis of the straight structure. If the angle is greater than a preset threshold, record it as structure fracture;

[0024] S2: Obtain the direction of the center axis of the structure based on the 3D point cloud contour, and compare it with the center axis of the structure in the artificial preset database to obtain the direction offset angle of the structure. If the direction offset angle of the structure is greater than a set threshold, record it as structure tilt.

[0025] Preferably, the method for obtaining the texture damage information by the building evaluation module is:

[0026] Based on the results of visual image scanning, image analysis is performed, cracks on the surface are identified, crack length, width and depth information is obtained, and crack damage is recorded; surface damage flaws are identified to obtain flaw area, and surface damage is recorded.

[0027] Preferably, the repair simulation module obtains the complete ancient building structure information obtained by the building evaluation module, and performs three-dimensional modeling using the complete ancient building structure information to obtain an ancient building digital twin. Structure damage information and texture damage information are marked in the ancient building digital twin, structure repair targets and structure replacement targets are obtained according to the structure damage information, and covering repair targets and damage delay targets are obtained according to the texture damage information.

[0028] The repair preview module selects the corresponding repair scheme from the database, and performs a preview of the repair target according to the ancient building digital twin, to obtain the repair cost, repair time and repair effect after repair, and the repair evaluation module respectively judges the threshold value of the repair cost, repair time and repair effect, evaluates the scheme according to the judgment result, adopts or replaces it, and records the adopted scheme as a preliminary repair scheme.

[0029] Preferably, the interference analysis module synchronously collects the construction interference area and the construction interference degree during the repair preview performed by the repair preview module, wherein the construction interference degree includes environmental interference and building interference;

[0030] The interference analysis module performs risk threshold value judgment on the environmental interference and the building interference, obtains the corresponding risk level, and performs cyclic replacement on the scheme whose risk level exceeds the set level to obtain the final repair scheme.

[0031] Preferably, the real-time supervision module collects the repair time, repair cost, construction interference degree and construction interference area of the actual repair process during the implementation of the final repair scheme, and compares them with the results previewed in the standard scheme in real time, compares the repair cost and repair time based on the repair progress, and compares the construction interference degree and construction interference area in real time, and the real-time supervision module performs threshold value judgment on the implementation difference after obtaining the implementation difference, and generates a deviation warning when the implementation difference is greater than the set threshold value.

[0032] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present application are:

[0033] 1. The present application can automatically and accurately identify and quantify structural damage and surface texture damage by fusing three-dimensional laser scanning and visual image scanning, overcoming the subjectivity and limitations of traditional manual reconnaissance, and providing comprehensive and accurate data basis for repair scheme development.

[0034] 2. The present application also performs repair preview and construction interference simulation by constructing a digital twin, and performs multiple rounds of evaluation and optimization of repair effect, cost, duration and possible structural safety risks and environmental interference caused by construction process before the implementation of the scheme, selects the final scheme that takes into account the repair effect and construction safety, and significantly reduces the trial and error cost and unforeseen risks in the repair process.

[0035] 3. The present application also compares the actual collected progress, cost and interference parameters with the standard scheme in real time during the construction phase, and automatically warns of significant deviation, realizes dynamic and quantitative supervision of the whole repair process, ensures that the construction is strictly performed according to the optimized scheme, and can correct the deviation in time, effectively guarantees that the final repair result is highly consistent with the original design intention and quality requirements. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 A system flowchart of the present application;

[0037] Figure 2 A system block diagram of the present application. DETAILED DESCRIPTION

[0038] For the purposes of the present application, the technical solutions and advantages are more clearly and specifically understood, the following preferred embodiments are described in detail with reference to the accompanying drawings. However, it should be noted that many details in the description are only to enable the reader to have a thorough understanding of one or more aspects of the application, and the aspects of the application can be realized even without these specific details.

[0039] Embodiment one: please refer to Figure 1 - Figure 2 As shown in the figure, a smart construction method for repairing ancient building structure, comprising the following steps:

[0040] Step one: obtain multi-source information of ancient building structure through three-dimensional laser scanning and visual image scanning, and evaluate defect points to obtain repair targets of corresponding structure damage information and texture damage information;

[0041] Step two: construct a digital twin of the ancient building according to the collected multi-source information, and perform a repair target rehearsal, evaluate the repair effect according to the rehearsal results, and obtain the repair cost, repair time and repair effect;

[0042] Step three: optimize and replace the building repair scheme based on the repair effect evaluation, and generate a preliminary repair scheme;

[0043] Step four: implement simulation on the preliminary repair scheme to obtain the construction interference area and construction interference degree of the preliminary repair scheme;

[0044] Step five: risk assessment is performed on the construction interference area and construction interference degree, and when the risk degree is greater than the set threshold, secondary optimization is performed on the preliminary repair scheme to obtain the final repair scheme;

[0045] Step six: implement the final repair scheme and detect the ancient building structure in real time during the implementation process, compare it with the final repair scheme, obtain the implementation difference, and when the implementation difference is greater than the set value, automatically trigger the deviation warning.

[0046] Embodiment two: please refer to Figure 1 - Figure 2 As shown in the figure, a smart construction system for repairing ancient building structure, comprising a building evaluation module, a repair rehearsal module, a repair evaluation module, an interference analysis module, a real-time supervision module and an active early warning module;

[0047] The building evaluation module can obtain ancient building structure information through three-dimensional laser scanning and visual image scanning, so as to evaluate defect points in the ancient building structure information. Specifically, structure damage information is obtained by analyzing the results of three-dimensional laser scanning, and texture damage information is obtained by analyzing the results of visual image scanning. The structure damage information includes structure fracture and structure inclination, and the texture damage information includes crack damage and surface damage.

[0048] The building evaluation module obtains structure damage information in the following steps:

[0049] S1: Obtain a 3D point cloud profile of a structure based on the results of three-dimensional laser scanning. Analyze the 3D point cloud profile to obtain the central axis of a straight structure, and calculate the angle of the central axis of the straight structure. If the angle is greater than a preset threshold, record it as structure fracture.

[0050] S2: Obtain the central axis direction of the structure based on the 3D point cloud profile, and compare it with the central axis of the structure in the artificially preset database to obtain the structure direction offset angle. If the structure direction offset angle is greater than a set threshold, record it as structure inclination.

[0051] The building evaluation module obtains texture damage information in the following steps:

[0052] Based on the results of visual image scanning, perform image analysis to identify cracks on the surface, obtain crack length, width and depth information, and record it as crack damage. Identify surface damage flaws to obtain flaw area and record surface damage.

[0053] The repair simulation module obtains ancient building structure information through the building evaluation module, and performs three-dimensional modeling based on the obtained complete ancient building structure information to construct an ancient building digital twin. Mark the structure damage information and texture damage information in the ancient building digital twin, evaluate the structure damage information to obtain corresponding structure repair targets and structure replacement targets, evaluate the texture damage information to obtain corresponding coverage repair targets and damage delay targets. The structure repair target is a structure inclination degree lower than a set value, and the structure is repaired. The structure replacement target is a structure fracture or a structure inclination degree greater than a set value, and the structure is replaced because repair cannot achieve good results. The coverage repair target is a large surface damage area or a large damage degree, and the damage delay target is a small surface damage area or a crack damage, and technical means is used to delay the further development and expansion of the damage.

[0054] Meanwhile, the repair simulation module performs repair target simulation based on the ancient building digital twin to simulate the repair process on the digital twin and estimate repair effect, repair cost and repair time.

[0055] The specific method is that the repair preview module selects the corresponding repair scheme from the database, the database is manually established, and the database contains the repair method corresponding to the conventional damage of the ancient building; the repair target is previewed according to the ancient building digital twin, and the repair cost, repair time and repair effect after repair are obtained;

[0056] The repair evaluation module obtains the repair target preview result of the ancient building digital twin, evaluates the repair time, repair cost and repair effect in the preview process, respectively judges the threshold values of the repair cost, repair time and repair effect, adopts or replaces the scheme according to the judgment result, and records the adopted scheme as the preliminary repair scheme; specifically, the repair cost is compared with the set cost budget; if the repair cost is less than the set cost budget, the related scheme is determined; if the repair cost is greater than the set cost budget, the related scheme is replaced from the database;

[0057] The repair time is compared with the set time window; if the repair time is less than the set time window, the related scheme is determined; if the repair time is greater than the set time window, the related scheme is replaced from the database;

[0058] The repair effect is compared with the expected effect; if the repair effect is lower than the expected effect, the related scheme is determined; if the repair effect is better than the expected effect, the related scheme is replaced from the database;

[0059] When the three comparison results are all scheme determination, the preliminary repair scheme is obtained; when the three comparison results cannot be determined, the replaced scheme is compared again until the preliminary repair scheme is generated;

[0060] The interference analysis module synchronously collects the construction interference area and the construction interference degree during the repair preview of the repair preview module, and obtains the risk evaluation result; based on the risk evaluation result, the preliminary repair scheme is optimized again to obtain the final repair scheme, wherein the construction interference degree includes environmental interference and building interference;

[0061] The interference analysis module judges the risk threshold values of the environmental interference and the building interference to obtain the environmental interference risk grade and the building interference risk grade, compares the environmental interference risk grade with the set threshold grade, compares the building interference risk grade with the set threshold grade, if both are less than the corresponding threshold grade, it indicates that the scheme risk is low and is within the controllable range, if any of the two is greater than or equal to the corresponding threshold grade, it indicates that the risk is high and the scheme needs to be replaced, and the risk grades of the environmental interference and the building interference of the replaced scheme are judged again until both are less than the corresponding threshold grade, and the final repair scheme is obtained;

[0062] The real-time supervision module obtains the final repair scheme and records it as a standard implementation scheme. When the real-time supervision module implements the final repair scheme, the actual implementation scheme is obtained based on the multi-source information collection result, so as to obtain the repair time, repair cost, construction interference degree and construction interference area of the actual repair process. The results pre-imagined in the standard implementation scheme are compared in real time. The repair cost and repair time are compared based on the repair progress, that is, the repair progress of the actual repair work is selected, and the repair cost and repair time spent under the same repair progress in the pre-imagined process are compared. If the gap is too large and exceeds the set threshold, the gap is recorded as an implementation difference. If the gap is not greater than the threshold, no reaction is made. The construction interference degree and the construction interference area are compared in real time, that is, the actual construction interference degree and the construction interference area are compared with the construction interference degree and the construction interference area at the same time in the pre-imagined process. If the gap is too large, the gap is recorded as an implementation difference. If the gap is not greater than the threshold, no reaction is made. Finally, the implementation difference is obtained.

[0063] The real-time supervision module sends the implementation difference to the active early warning module after obtaining the implementation difference. The active early warning module performs threshold judgment on the implementation difference. When the implementation difference is greater than the set threshold, a deviation early warning is generated, so that real-time reminding is realized during the repair construction process, and problems such as secondary damage to ancient buildings during repair, too long repair time or too high repair cost caused by construction errors are avoided.

[0064] The threshold or the preset value, the preset range and the like are set for result comparison and analysis, so as to determine whether it is good or bad. The size of the threshold is determined by combining large model analysis of sample data and artificial experience to set the input storage. The threshold can also be adjusted appropriately according to seasonal or rational influence conditions.

[0065] The above only describes the preferred embodiments of the present application. It should be noted that, for ordinary skilled persons in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which should also be considered as the protection scope of the present application.

Claims

1. A smart construction method for the restoration of ancient building structures, characterized in that, Includes the following steps: Step 1: Assess the structure of the ancient building through multi-source information collection to obtain restoration targets; Step 2: Construct a digital twin of the ancient building based on the collected multi-source information, conduct a pre-simulation of the restoration target, and evaluate the restoration effect based on the pre-simulation results; Step 3: Optimize the building repair plan based on the repair effect evaluation and generate a preliminary repair plan; Step 4: Conduct an implementation simulation of the preliminary repair plan to obtain the construction interference area and degree of construction interference of the preliminary repair plan; Step 5: Conduct a risk assessment of the construction interference area and the degree of construction interference, and optimize the preliminary repair plan based on the risk assessment results to obtain the final repair plan; Step Six: Implement the final restoration plan and monitor the ancient building structure in real time during the implementation process. Compare the structure with the final restoration plan to identify implementation differences and issue deviation warnings based on these differences.

2. A smart construction system for the restoration of ancient building structures, employing the smart construction method for the restoration of ancient building structures as described in claim 1, characterized in that, It includes a building assessment module, a repair simulation module, a repair assessment module, an interference analysis module, a real-time monitoring module, and an active early warning module; The building assessment module can acquire structural information of ancient buildings through three-dimensional laser scanning and visual image scanning, and assess the defect points in the structural information of ancient buildings. The restoration simulation module obtains structural information of ancient buildings through the building assessment module, constructs a digital twin of the ancient buildings, and performs restoration target simulation based on the digital twin of the ancient buildings. The restoration assessment module obtains the restoration target simulation results of the digital twin of the ancient building, evaluates the restoration time, cost and effect during the simulation process, and optimizes the plan based on the assessment results to obtain a preliminary restoration plan. The interference analysis module simulates the construction interference area and degree of the preliminary repair plan and obtains the risk assessment results. Based on the risk assessment results, the preliminary repair plan is further optimized to obtain the final repair plan. The real-time monitoring module acquires the final repair plan and records it as the standard implementation plan. When the final repair plan is implemented, the actual implementation plan is obtained based on the multi-source information collection results. The standard implementation plan and the actual implementation plan are compared to obtain the implementation differences. The active early warning module will perform discrepancy verification and generate a deviation warning.

3. The intelligent construction system for the restoration of ancient building structures according to claim 2, characterized in that: When collecting structural information of ancient buildings, the building assessment module obtains structural damage information through the results of three-dimensional laser scanning and analyzes the results of visual image scanning to obtain texture damage information. The structural damage information includes structural fracture and structural tilt, while the texture damage information includes crack damage and surface damage.

4. The intelligent construction system for the restoration of ancient building structures according to claim 2, characterized in that: The steps for the building assessment module to obtain structural damage information are as follows: S1: Based on the results of three-dimensional laser scanning, the 3D point cloud contour of the structural component is obtained. The central axis of the straight structural component is obtained by analyzing the 3D point cloud contour, and the bending angle of the central axis of the straight structure is calculated. If the bending angle is greater than the preset threshold, it is recorded as a structural fracture. S2: Obtain the direction of the central axis of the structural component based on the 3D point cloud contour, and compare it with the central axis of the structural component in the pre-set database to obtain the direction offset angle of the structural component. If the direction offset angle of the structural component is greater than the set threshold, it is recorded as structural tilt.

5. The intelligent construction system for the restoration of ancient building structures according to claim 2, characterized in that: The method by which the building assessment module obtains texture damage information is as follows: Image analysis is performed based on the results of visual image scanning to identify surface cracks, obtain crack length, width and depth information, and record them as crack damage; The surface damage and defects are identified, the area of ​​the defective region is obtained, and the surface damage is recorded.

6. The intelligent construction system for the restoration of ancient building structures according to claim 2, characterized in that: The repair simulation module acquires complete structural information of the ancient building based on the building assessment module, and uses the complete structural information of the ancient building to perform three-dimensional modeling to obtain a digital twin of the ancient building. The module marks structural damage information and texture damage information in the digital twin of the ancient building, and evaluates the structural damage information to obtain the corresponding structural repair target and structural replacement target. It also evaluates the texture damage information to obtain the corresponding coverage repair target and damage delay target. The restoration simulation module selects the corresponding restoration plan from the database, performs a simulation of the restoration target based on the digital twin of the ancient building, and obtains the restoration cost, restoration time and restoration effect after restoration. The restoration evaluation module performs threshold judgment on the restoration cost, restoration time and restoration effect respectively, evaluates the adoption or replacement of the plan based on the judgment result, and records the adopted plan as the preliminary restoration plan.

7. The intelligent construction system for the restoration of ancient building structures according to claim 2, characterized in that: When the repair simulation module performs the repair simulation, the interference analysis module simultaneously collects the area and degree of construction interference in the simulation, including environmental interference and building interference. The interference analysis module determines the risk threshold of environmental and building interference to obtain the corresponding risk level, and iteratively replaces the solutions with risk levels exceeding the set level to obtain the final repair solution.

8. The intelligent construction system for the restoration of ancient building structures according to claim 2, characterized in that: When the final repair plan is implemented, the real-time monitoring module collects the actual repair time, repair cost, degree of construction interference, and area of ​​construction interference during the actual repair process, and compares them in real time with the results of the pre-rehearsal in the standard plan. The repair cost and repair time are compared based on the repair progress, and the degree of construction interference and area of ​​construction interference are compared in real time. After obtaining the implementation difference, the real-time monitoring module judges the implementation difference by a threshold, and generates a deviation warning when it exceeds the set threshold.

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