A smart construction method and system for repairing ancient building wooden structures

Abstract

The invention discloses an intelligent construction method and system for repairing the wooden structure of an ancient building, and relates to the technical field of ancient building repair. The invention detects the apparent data and internal data of each detection area, obtains each repair area according to the load-bearing parameters, analyzes the repair type of each repair area according to the historical parameters, and then analyzes the reinforcement strategy of each reinforcement area according to the required reinforcement size and load-bearing data of each reinforcement position in each reinforcement area, analyzes the replacement strategy of each replacement area according to the replacement position distribution density and replacement area ratio of each replacement area, and then uses a repair robot to carry out reinforcement and replacement, thereby ensuring the scientificity and objectivity of the evaluation results and protecting the historical value of the wooden structure. At the same time, through the multi-dimensional analysis of each reinforcement area, a reliable reference is provided for the formulation of subsequent reinforcement strategies, thereby ensuring the quality, stability and safety of the wooden structure reinforcement.

Description

Technical Field

[0001] The present invention relates to the technical field of ancient building restoration, and in particular to an intelligent construction method and system for restoring ancient building wooden structures. Background Art

[0002] Ancient buildings are an important part of cultural heritage, but with the passage of time, the wooden structures in ancient buildings may have problems such as aging and decay, which will reduce the safety and stability of the ancient buildings and affect the historical value of the ancient buildings. Using intelligent detection methods to detect the wooden structures in ancient buildings and formulating restoration strategies for repair can not only strengthen the buildings and extend their service life, but also improve the efficiency of ancient building restoration.

[0003] Before the traditional restoration of the wooden structure of ancient buildings, manual on-site inspection and evaluation are required to confirm the restoration strategy, and then the restoration personnel will carry out the corresponding restoration according to the restoration strategy. However, this kind of preliminary inspection and evaluation requires manual on-site inspection and evaluation, which greatly increases the workload of the staff. At the same time, it mostly relies on the work experience of the staff, and there is no unified evaluation method. The scientificity and objectivity of the evaluation results cannot be guaranteed, which affects the formulation of subsequent wooden structure restoration strategies and leads to poor wooden structure restoration effects. In addition, when formulating restoration strategies, for areas that need to be reinforced, most of the reinforcement strategies are selected based on the severity of the damage, and no multi-dimensional evaluation is conducted based on the load-bearing data and damage conditions of the positions to be reinforced, and then the reinforcement strategies for the positions to be reinforced are selected, which cannot improve the quality of wooden structure reinforcement. For areas that need to be replaced, the manual only determines whether the replacement area is severely damaged, and does not analyze the area and density of the positions to be replaced in the replacement area, and the distribution of the positions to be replaced, so as to provide a reference for the confirmation of the replacement strategy for the subsequent replacement area, which affects the replacement effect of the subsequent wooden structure, resulting in insufficient stability and safety of the wooden structure of ancient buildings. Summary of the invention

[0004] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide an intelligent construction method and system for repairing the wooden structure of ancient buildings.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides an intelligent construction method for repairing the wooden structure of an ancient building, comprising the following steps: S100, wood detection: dividing the wooden structure in the ancient building into various detection areas, detecting the surface and interior of each detection area, obtaining the apparent data and internal data of each detection area, and extracting the load-bearing parameters of each detection area.

[0006] S200, damage analysis: based on the apparent data, internal data and load-bearing parameters of each inspection area, analyze whether each inspection area needs to be repaired, and select each repair area.

[0007] S300, repair analysis: obtaining historical parameters of each repair area, and analyzing the repair type of each repair area, wherein the repair type includes structural reinforcement and structural replacement.

[0008] S400, plan formulation: record each repair area whose repair type is structural reinforcement type as each reinforcement area, record each repair area whose repair type is structural replacement type as each replacement area, analyze the reinforcement strategy corresponding to each reinforcement area based on the apparent data and load-bearing parameters corresponding to each reinforcement area, and analyze the replacement strategy corresponding to each replacement area based on the apparent data corresponding to each replacement area.

[0009] S500, repair execution: controlling the repair robot to reinforce each reinforcement area and replace each replacement area according to the reinforcement strategy corresponding to each reinforcement area and the replacement strategy corresponding to each replacement area.

[0010] Preferably, the specific analysis process of analyzing whether each detection area needs to be repaired is as follows: S201, extracting crack data, decay data and color data from the apparent data of each detection area, and extracting the historical apparent data of each detection area during each historical detection and the standard apparent data of each detection area, setting the crack data weight factor, decay data weight factor and color data weight factor of each detection area, and analyzing the apparent damage value of each detection area.

[0011] S202. Extract wood moisture and wood density from the internal data of each detection area, and extract the historical internal data of each detection area during each historical detection and the standard internal data of each detection area, set the wood moisture weight factor and wood density weight factor of each detection area, and analyze the internal damage value of each detection area.

[0012] S203. Add the apparent damage value and the internal damage value of each detection area to obtain the comprehensive damage value of each detection area, extract the total load-bearing data from the load-bearing parameters corresponding to each detection area, compare the total load-bearing data corresponding to each detection area with the reference load-bearing data corresponding to each comprehensive damage value threshold stored in the ancient building database, and obtain the comprehensive damage value threshold corresponding to each detection area.

[0013] S204. Compare the comprehensive damage value of each detection area with the comprehensive damage value threshold corresponding to each detection area. If the comprehensive damage value of a detection area is greater than the comprehensive damage value threshold corresponding to the detection area, it indicates that the detection area needs to be repaired, and the detection area is recorded as a repair area. In this way, it is determined whether each detection area needs to be repaired, and each repair area is obtained at the same time.

[0014] Preferably, the analysis of the apparent damage value of each detection area is specifically carried out as follows: S211, extracting historical crack data, decay data and color data from the historical apparent data of each detection area during each historical detection, and analyzing the crack change rate, decay change rate and color change rate in each detection area, dividing the crack change rate in each detection area by the sum of the crack change rate, decay change rate and color change rate in each detection area, to obtain the crack data weight factor in each detection area, and similarly, obtaining the decay data weight factor and color data weight factor in each detection area.

[0015] S212, marking the crack data, decay data and color data of each detection area as LW r FX r and YS r , r represents the number of each inspection area, r = 1, 2, ..., f, f is any integer greater than 2; the permissible crack data, permissible decay data and standard color data are extracted from the standard apparent data of each inspection area, and are marked as LW′ respectively r FX′ r and YS′ r .

[0016] S213, based on the apparent damage value expression:

[0017] Get the apparent damage value φ of the rth detection area r , where γ 1r , γ 2r , γ 3r They respectively represent the crack data weight factor, decay data weight factor, and color data weight factor of the rth detection area, and e represents a natural constant.

[0018] Preferably, the restoration type of each restoration area is analyzed, and the specific analysis steps are as follows: S311, obtaining the wood lifespan and wood type from the historical parameters of each restoration area, and comparing them with the reference wood lifespan interval and reference wood type set corresponding to each wood historical value level stored in the ancient building database; if the wood lifespan of a restoration area is within the reference wood lifespan interval corresponding to a certain wood historical value level, and the wood type of the restoration area is in the reference wood type set corresponding to the wood historical value level, then the wood historical value level is used as the wood historical value level of the restoration area, thereby obtaining the wood historical value level of each restoration area.

[0019] S312: extract the comprehensive damage value of each repair area, and compare it with the comprehensive damage value interval corresponding to each damage level stored in the ancient building database to obtain the damage level of each repair area.

[0020] S313. Compare the wood historical value grade of each repair area with the preset reference wood historical value grade, and compare the damage grade of each repair area with the preset reference wood damage grade. If the wood historical value grade of a repair area is greater than or equal to the preset reference wood historical value grade, it indicates that the repair type of the repair area is the structural reinforcement type; if the wood historical value grade of a repair area is less than the preset reference wood historical value grade, and the damage grade of the repair area is less than the preset reference wood damage grade, it indicates that the repair type of the repair area is the structural reinforcement type; if the wood historical value grade of a repair area is less than the preset reference wood historical value grade, but the damage grade of the repair area is greater than or equal to the preset reference wood damage grade, it indicates that the repair type of the repair area is the structural replacement type; in this way, the repair type of each repair area is obtained.

[0021] Preferably, the reinforcement strategy corresponding to each reinforcement area is analyzed, and the specific analysis steps are as follows: S411, according to the apparent data and internal data corresponding to each reinforcement area, the required reinforcement size of each reinforcement position in each reinforcement area is obtained, and based on the load-bearing parameters of each reinforcement area, the load-bearing data of each reinforcement position in each reinforcement area is obtained.

[0022] S412. Compare the required reinforcement size and load-bearing data of each reinforcement position in each reinforcement area with the preset required reinforcement size threshold and load-bearing data threshold respectively; if the load-bearing data of a reinforcement position in a reinforcement area is greater than or equal to the load-bearing data threshold, it indicates that the reinforcement method of the reinforcement position in the reinforcement area is to add a supporting structure; if the load-bearing data of a reinforcement position in a reinforcement area is less than the load-bearing data threshold, and the required reinforcement size of the reinforcement position in the reinforcement area is less than or equal to the required reinforcement size threshold, it indicates that the reinforcement method of the reinforcement position in the reinforcement area is filling and repairing; in this way, the reinforcement method of each reinforcement position in each reinforcement area is obtained, and the reinforcement methods of each reinforcement position in each reinforcement area are integrated as the reinforcement strategy corresponding to each reinforcement area.

[0023] Preferably, the analysis of the replacement strategies corresponding to each replacement area includes the following specific analysis process: S421, based on the apparent data corresponding to each replacement area, obtaining each replacement position in each replacement area, and analyzing the replacement position distribution state coefficient corresponding to each replacement area.

[0024] S421. If the replacement position distribution state coefficient corresponding to a certain replacement area is greater than or equal to 0, then the replacement strategy of the replacement area is determined to be overall replacement. If the replacement position distribution state coefficient corresponding to a certain replacement area is less than 0, then the replacement strategy of the replacement area is determined to be partial replacement. In this way, the replacement strategies corresponding to each replacement area are obtained.

[0025] Preferably, the analysis of the replacement position distribution state coefficient corresponding to each replacement area is as follows: each replacement position in each replacement area is connected in sequence to obtain the replacement area in each replacement area, and the number of replacement positions in each replacement area is counted, and the replacement area in each replacement area is divided by the number of replacement positions to obtain the replacement position distribution density of each replacement area, which is marked as ρ g , g represents the number of each replacement area, g = 1, 2, ..., y, y is any integer greater than 2, and the replacement area in each replacement area is divided by the total area of ​​each replacement area to obtain the replacement area ratio of each replacement area, which is marked as κ g .

[0026] Obtain the preset reference replacement position distribution density, the preset reference replacement area ratio, the replacement position distribution density weight coefficient and the replacement area ratio weight coefficient, which are marked as ρ, κ, τ1 and τ2 respectively, according to the replacement position distribution state coefficient expression: Get the replacement position distribution state coefficient δ corresponding to the g-th replacement area g .

[0027] In the second aspect, the present invention provides an intelligent construction system for repairing the wooden structure of an ancient building, comprising the following modules: a wooden detection module, for dividing the wooden structure in the ancient building into various detection areas, detecting the surface and interior of each detection area, obtaining the apparent data and internal data of each detection area, and extracting the load-bearing parameters of each detection area.

[0028] The damage analysis module is used to analyze whether each inspection area needs to be repaired based on the apparent data, internal data and load-bearing parameters of each inspection area, and to screen out each repair area.

[0029] The repair analysis module is used to obtain historical parameters of each repair area and analyze the repair type of each repair area, where the repair type includes structural reinforcement and structural replacement.

[0030] The plan formulation module is used to record each repair area whose repair type is a structural reinforcement type as a reinforcement area, and record each repair area whose repair type is a structural replacement type as a replacement area, and analyze the reinforcement strategy corresponding to each reinforcement area based on the apparent data and load-bearing parameters corresponding to each reinforcement area, and analyze the replacement strategy corresponding to each replacement area based on the apparent data corresponding to each replacement area.

[0031] The repair execution module is used to control the repair robot to reinforce each reinforcement area and replace each replacement area according to the reinforcement strategy corresponding to each reinforcement area and the replacement strategy corresponding to each replacement area.

[0032] The beneficial effects of the present invention are as follows: the present invention provides an intelligent construction method and system for repairing the wooden structure of an ancient building, which detects the apparent data and internal data of each detection area, and analyzes whether each detection area needs to be repaired according to the load-bearing parameters, obtains each repair area, analyzes the repair type of each repair area according to the historical parameters, and then analyzes the reinforcement strategy of each reinforcement area according to the required reinforcement size and load-bearing data of each reinforcement position in each reinforcement area, analyzes the replacement strategy of each replacement area according to the replacement position distribution density and replacement area ratio of each replacement area, and then uses a repair robot to reinforce and replace, which solves the shortcomings of manually formulating repair strategies in traditional technologies, realizes the automation and unified analysis of wood detection data, ensures the scientificity and objectivity of the evaluation results, and effectively guarantees the historical value of the wooden structure when formulating the repair type in combination with historical parameters. At the same time, through multi-dimensional analysis of each reinforcement area, a reliable reference is provided for the formulation of subsequent reinforcement strategies, the quality of wooden structure reinforcement is guaranteed, and the replacement strategy is confirmed according to the distribution of replacement positions to ensure the stability and safety of subsequent wooden structures of ancient buildings. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method.

[0035] Figure 2 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1 As shown, in the first aspect, the present invention provides an intelligent construction method for repairing wooden structures of ancient buildings, comprising the following steps: S100, wood detection: dividing the wooden structure in the ancient building into various detection areas, detecting the surface and interior of each detection area, obtaining the apparent data and internal data of each detection area, and extracting the load-bearing parameters of each detection area.

[0038] It should be noted that the apparent data includes crack data, decay data, and color data, among which the crack data includes the total crack area and the maximum crack depth, the decay data includes the total decay area and the maximum decay depth, and the color data includes the average chromaticity and average brightness of the wood, etc. The apparent image of each detection area is captured by a camera, and the apparent data of each detection area is obtained by image recognition technology.

[0039] Internal data include wood moisture and wood density. Non-destructive detection technology, such as infrared scanners and ultrasonic detectors, is used to detect the interior of each detection area. Several detection points are set inside each detection area to obtain the wood moisture and wood density of each detection point in each detection area. The average wood moisture and average wood density of each detection area are obtained through mean calculation as the wood moisture and wood density of each detection area.

[0040] It should also be noted that a number of test points are arranged on the surface of each detection area, and the load-bearing capacity of each test point in each detection area is obtained as the load-bearing parameter of each detection area by using a load sensor to test the load-bearing capacity of each test point in each detection area.

[0041] S200, damage analysis: based on the apparent data, internal data and load-bearing parameters of each inspection area, analyze whether each inspection area needs to be repaired, and select each repair area.

[0042] In a specific embodiment, the analysis of whether each inspection area needs to be repaired is performed as follows: S201, extracting crack data, decay data and color data from the apparent data of each inspection area, and extracting the historical apparent data of each inspection area during each historical inspection and the standard apparent data of each inspection area, setting the crack data weight factor, decay data weight factor and color data weight factor of each inspection area, and analyzing the apparent damage value of each inspection area.

[0043] It should be noted that the apparent damage value of each inspection area is used to perform quantitative numerical evaluation on the apparent data, standard apparent data, crack data weight factor, decay data weight factor and color data weight factor of each inspection area, and analyze the numerical evaluation results of the apparent damage state of each inspection area as a basis for determining whether each inspection area needs to be repaired.

[0044] It should also be noted that the historical apparent data of each inspection area during each historical inspection and the standard apparent data of each inspection area and the standard apparent data of each inspection area are extracted from the ancient building database, wherein the standard apparent data of each inspection area is the apparent data of each inspection area in its initial state.

[0045] In the above, the analysis of the apparent damage value of each detection area is specifically carried out as follows: S211, extracting historical crack data, decay data and color data from the historical apparent data of each detection area during each historical detection, and analyzing the crack change rate, decay change rate and color change rate in each detection area, dividing the crack change rate in each detection area by the sum of the crack change rate, decay change rate and color change rate in each detection area, to obtain the crack data weight factor in each detection area, and similarly, obtaining the decay data weight factor and color data weight factor in each detection area.

[0046] It should be noted that the analysis process of the crack change rate in each detection area is as follows: the historical crack data of each detection area during each historical detection is recorded as LW rj , j represents the number of each historical detection, j = 1, 2, ..., m, m is an arbitrary integer greater than 2, r represents the number of each detection area, r = 1, 2, ..., f, f is an arbitrary integer greater than 2, and the calculation formula is Get the crack change rate θ of the rth detection area r , where a is a real number, m represents the number of historical detections, LW r(j-1) Represents the historical crack data of the rth inspection area during the j-1th historical inspection.

[0047] It should also be noted that according to the analysis process of the crack change rate in each detection area, the decay change rate and color change rate of each detection area are analyzed and obtained.

[0048] S212, marking the crack data, decay data and color data of each detection area as LW r FX r and YS r ; Extract the permissible crack data, permissible decay data and standard color data from the standard surface data of each inspection area, marked as LW′ r FX′ r and YS′ r .

[0049] S213, based on the apparent damage value expression:

[0050] Get the apparent damage value φ of the rth detection area r , where γ 1r , γ 2r , γ 3r They respectively represent the crack data weight factor, decay data weight factor, and color data weight factor of the rth detection area, and e represents a natural constant.

[0051] S202. Extract wood moisture and wood density from the internal data of each detection area, and extract the historical internal data of each detection area during each historical detection and the standard internal data of each detection area, set the wood moisture weight factor and wood density weight factor of each detection area, and analyze the internal damage value of each detection area.

[0052] It should be noted that the historical internal data of each inspection area during each historical inspection and the standard internal data of each inspection area are extracted from the ancient building database, wherein the standard internal data of each inspection area is the internal data of each inspection area in the initial state.

[0053] It should also be noted that the internal damage value of each detection area is used to perform quantitative numerical evaluation on the internal data, standard internal data, wood moisture weight factor and wood density weight factor of each detection area, and analyze the numerical evaluation results of the internal damage status of each detection area as a basis for determining whether each detection area needs to be repaired.

[0054] It should be noted again that according to the process of analyzing the apparent damage value of each detection area, such as steps S211-S213, the internal damage value of each detection area is analyzed and obtained.

[0055] S203. Add the apparent damage value and the internal damage value of each detection area to obtain the comprehensive damage value of each detection area, extract the total load-bearing data from the load-bearing parameters corresponding to each detection area, compare the total load-bearing data corresponding to each detection area with the reference load-bearing data corresponding to each comprehensive damage value threshold stored in the ancient building database, and obtain the comprehensive damage value threshold corresponding to each detection area.

[0056] It should be noted that the bearing capacity of each test point in each detection area is extracted from the bearing parameters corresponding to each detection area, and the bearing capacity of each test point is accumulated to obtain the total bearing capacity as the total bearing data.

[0057] It should also be noted that the comprehensive damage value threshold and total load-bearing data of each historical restoration area are obtained from the intelligent construction system for the restoration of wooden structures of ancient buildings, the total load-bearing data corresponding to each comprehensive damage value threshold are counted, and the total load-bearing data corresponding to each comprehensive damage value threshold are averaged to obtain the average load-bearing data corresponding to each comprehensive damage value threshold as the reference load-bearing data corresponding to each comprehensive damage value threshold and stored in the ancient building database.

[0058] S204. Compare the comprehensive damage value of each detection area with the comprehensive damage value threshold corresponding to each detection area. If the comprehensive damage value of a detection area is greater than the comprehensive damage value threshold corresponding to the detection area, it indicates that the detection area needs to be repaired, and the detection area is recorded as a repair area. In this way, it is determined whether each detection area needs to be repaired, and each repair area is obtained at the same time.

[0059] S300, repair analysis: obtaining historical parameters of each repair area, and analyzing the repair type of each repair area, wherein the repair type includes structural reinforcement and structural replacement.

[0060] It should be noted that the historical parameters include wood lifespan and wood type. The historical parameters of each restoration area are extracted from the ancient building database, where the wood lifespan represents the surviving age of the wood.

[0061] In a specific embodiment, the restoration type of each restoration area is analyzed, and the specific analysis steps are as follows: S311, obtaining the wood life and wood type from the historical parameters of each restoration area, and comparing them with the reference wood life interval and reference wood type set corresponding to each wood historical value level stored in the ancient building database; if the wood life of a restoration area is within the reference wood life interval corresponding to a certain wood historical value level, and the wood type of the restoration area is in the reference wood type set corresponding to the wood historical value level, then the wood historical value level is used as the wood historical value level of the restoration area, thereby obtaining the wood historical value level of each restoration area.

[0062] It should be noted that the reference wood life span range and reference wood type set corresponding to each wood historical value level are set by professional construction personnel.

[0063] S312: extract the comprehensive damage value of each repair area, and compare it with the comprehensive damage value interval corresponding to each damage level stored in the ancient building database to obtain the damage level of each repair area.

[0064] It should be noted that the comprehensive damage value and damage level of each historical restoration area are obtained from the restoration records of the intelligent construction system for the restoration of ancient building wooden structures, and the comprehensive damage value range corresponding to each damage level is obtained by statistics. The damage level can be divided into mild damage, moderate damage and severe damage.

[0065] S313. Compare the wood historical value grade of each repair area with the preset reference wood historical value grade, and compare the damage grade of each repair area with the preset reference wood damage grade. If the wood historical value grade of a repair area is greater than or equal to the preset reference wood historical value grade, it indicates that the repair type of the repair area is the structural reinforcement type; if the wood historical value grade of a repair area is less than the preset reference wood historical value grade, and the damage grade of the repair area is less than the preset reference wood damage grade, it indicates that the repair type of the repair area is the structural reinforcement type; if the wood historical value grade of a repair area is less than the preset reference wood historical value grade, but the damage grade of the repair area is greater than or equal to the preset reference wood damage grade, it indicates that the repair type of the repair area is the structural replacement type; in this way, the repair type of each repair area is obtained.

[0066] It should be noted that the historical value level and wood damage level of each historical structure reinforcement area are obtained from the restoration records of the intelligent construction system for the restoration of ancient building wooden structures, and the minimum historical value level and the minimum wood damage level are selected as the reference wood historical value level and the reference wood damage level.

[0067] S400, plan formulation: record each repair area whose repair type is structural reinforcement type as each reinforcement area, record each repair area whose repair type is structural replacement type as each replacement area, analyze the reinforcement strategy corresponding to each reinforcement area based on the apparent data and load-bearing parameters corresponding to each reinforcement area, and analyze the replacement strategy corresponding to each replacement area based on the apparent data corresponding to each replacement area.

[0068] In a specific embodiment, the reinforcement strategy corresponding to each reinforcement area is analyzed, and the specific analysis steps are as follows: S411. According to the apparent data corresponding to each reinforcement area, the required reinforcement size of each reinforcement position in each reinforcement area is obtained, and based on the load-bearing parameters of each reinforcement area, the load-bearing data of each reinforcement position in each reinforcement area is obtained.

[0069] It should be noted that, based on the apparent data corresponding to each reinforcement area and the apparent image of each reinforcement area, each crack position and each decay position of each reinforcement area are located and marked as each reinforcement position, and the size of each crack position and the size of each decay position are marked as the size to be reinforced of each reinforcement position. The bearing capacity of each reinforcement position in each reinforcement area is compared with that of each test point in each reinforcement area. If a reinforcement position in a reinforcement area is the same as a test point in the reinforcement area, the bearing capacity of the test point is used as the bearing capacity of the reinforcement position in the reinforcement area, and marked as the bearing capacity data of each reinforcement position in each reinforcement area.

[0070] S412. Compare the required reinforcement size and load-bearing data of each reinforcement position in each reinforcement area with the preset required reinforcement size threshold and load-bearing data threshold respectively; if the load-bearing data of a reinforcement position in a reinforcement area is greater than or equal to the load-bearing data threshold, it indicates that the reinforcement method of the reinforcement position in the reinforcement area is to add a supporting structure; if the load-bearing data of a reinforcement position in a reinforcement area is less than the load-bearing data threshold, and the required reinforcement size of the reinforcement position in the reinforcement area is less than or equal to the required reinforcement size threshold, it indicates that the reinforcement method of the reinforcement position in the reinforcement area is filling and repairing; in this way, the reinforcement method of each reinforcement position in each reinforcement area is obtained, and the reinforcement methods of each reinforcement position in each reinforcement area are integrated as the reinforcement strategy corresponding to each reinforcement area.

[0071] It should be noted that the filling and repair dimensions and load-bearing data corresponding to each historical filling and repair position are obtained from the intelligent construction system for the restoration of wooden structures of ancient buildings, and the added supporting structure dimensions and load-bearing data corresponding to each historical added supporting structure position are obtained. The filling and repair dimensions corresponding to each historical filling and repair position are calculated differentially from the added supporting structure dimensions of each historical added supporting structure position. If the difference between the filling and repair dimensions corresponding to a certain historical filling and repair position and the increased supporting structure dimensions of a certain historical added supporting structure position is the smallest, then the filling and repair dimensions corresponding to this historical filling and repair position are used as the threshold of the size to be reinforced. The difference between the load-bearing data corresponding to each historical filling and repair position and the load-bearing data of each historical added supporting structure position are calculated differentially from the load-bearing data of each historical added supporting structure position. If the difference between the load-bearing data corresponding to a certain historical filling and repair position and the load-bearing data of a certain historical added supporting structure position is the smallest, then the load-bearing data corresponding to this historical filling and repair position is used as the load-bearing data threshold.

[0072] In another specific embodiment, the replacement strategy corresponding to each replacement area is analyzed, and the specific analysis process is as follows: S421, based on the apparent data corresponding to each replacement area, each replacement position in each replacement area is obtained, and the replacement position distribution state coefficient corresponding to each replacement area is analyzed.

[0073] It should be noted that, based on the apparent data corresponding to each replacement area and the apparent image of each replacement area, each crack position and each decay position of each replacement area are located and marked as each replacement position.

[0074] It should also be noted that the replacement position distribution state coefficient corresponding to each replacement area is used to obtain the quantitative result of the distribution state of the replacement position in each replacement area by quantitatively analyzing each replacement position in each replacement area and the size required to be replaced of each replacement position, as a basis for determining the replacement strategy of each replacement area.

[0075] In the above, the replacement position distribution state coefficient corresponding to each replacement area is analyzed. The specific analysis process is as follows: each replacement position in each replacement area is connected in sequence to obtain the replacement area in each replacement area, and the number of replacement positions in each replacement area is counted. The replacement area in each replacement area is divided by the number of replacement positions to obtain the replacement position distribution density of each replacement area, which is marked as ρ g , g represents the number of each replacement area, g = 1, 2, ..., y, y is any integer greater than 2, and the replacement area in each replacement area is divided by the total area of ​​each replacement area to obtain the replacement area ratio of each replacement area, which is marked as κ g .

[0076] Obtain the preset reference replacement position distribution density, the preset reference replacement area ratio, the replacement position distribution density weight coefficient and the replacement area ratio weight coefficient, which are marked as ρ, κ, τ1 and τ2 respectively, according to the replacement position distribution state coefficient expression: Get the replacement position distribution state coefficient δ corresponding to the g-th replacement area g .

[0077] It should be noted that the replacement position distribution density and replacement area ratio of each historical partial replacement area are obtained from the intelligent construction system for the restoration of wooden structures of ancient buildings, and the replacement position distribution density and replacement area ratio of each historical overall replacement area are obtained. The replacement position distribution density of each historical partial replacement area is subtracted from the replacement position distribution density of each historical overall replacement area. If the difference between the replacement position distribution density of a certain historical partial replacement area and the replacement position distribution density of a certain historical overall replacement area is the smallest, the replacement position distribution density of this historical partial replacement area is used as the preset reference replacement position distribution density; the replacement area ratio of each historical partial replacement area is subtracted from the replacement area ratio of each historical overall replacement area. If the difference between the replacement area ratio of a certain historical partial replacement area and the replacement area ratio of a certain historical overall replacement area is the smallest, the replacement area ratio of this historical partial replacement area is used as the preset reference replacement area ratio.

[0078] If the difference between the replacement position distribution density of a historical partial replacement area and the replacement position distribution density of a historical overall replacement area is the largest, the difference is recorded as the distribution density difference, and the distribution density difference is divided by the replacement position distribution density of the historical partial replacement area to obtain the distribution density difference rate; if the difference between the replacement area ratio of a historical partial replacement area and the replacement area ratio of a historical overall replacement area is the largest, the difference is recorded as the area ratio difference, and the area ratio difference is divided by the replacement area ratio of the historical partial replacement area to obtain the area difference rate; the distribution density difference rate is divided by the sum of the distribution density difference rate and the area difference rate to obtain the replacement position distribution density weight coefficient, and the area difference rate is divided by the sum of the distribution density difference rate and the area difference rate to obtain the replacement area ratio weight coefficient.

[0079] S421. If the replacement position distribution state coefficient corresponding to a certain replacement area is greater than or equal to 0, then the replacement strategy of the replacement area is determined to be overall replacement. If the replacement position distribution state coefficient corresponding to a certain replacement area is less than 0, then the replacement strategy of the replacement area is determined to be partial replacement. In this way, the replacement strategies corresponding to each replacement area are obtained.

[0080] S500, repair execution: controlling the repair robot to reinforce each reinforcement area and replace each replacement area according to the reinforcement strategy corresponding to each reinforcement area and the replacement strategy corresponding to each replacement area.

[0081] See also Figure 2 As shown, in the second aspect, the present invention provides an intelligent construction system for repairing wooden structures of ancient buildings, comprising the following modules: a wood detection module, a damage analysis module, a repair analysis module, a plan formulation module, a repair execution module and an ancient building database.

[0082] The wood detection module is used to divide the wooden structure in the ancient building into various detection areas, detect the surface and interior of each detection area, obtain the apparent data and internal data of each detection area, and extract the load-bearing parameters of each detection area.

[0083] The damage analysis module is used to analyze whether each inspection area needs to be repaired based on the apparent data, internal data and load-bearing parameters of each inspection area, and to screen out each repair area.

[0084] The repair analysis module is used to obtain historical parameters of each repair area and analyze the repair type of each repair area, where the repair type includes structural reinforcement and structural replacement.

[0085] The plan formulation module is used to record each repair area whose repair type is a structural reinforcement type as a reinforcement area, and record each repair area whose repair type is a structural replacement type as a replacement area, and analyze the reinforcement strategy corresponding to each reinforcement area based on the apparent data and load-bearing parameters corresponding to each reinforcement area, and analyze the replacement strategy corresponding to each replacement area based on the apparent data corresponding to each replacement area.

[0086] The repair execution module is used to control the repair robot to reinforce each reinforcement area and replace each replacement area according to the reinforcement strategy corresponding to each reinforcement area and the replacement strategy corresponding to each replacement area.

[0087] The ancient building database is used to store the historical surface data of each inspection area during each historical inspection and the standard surface data of each inspection area and the standard surface data of each inspection area, store the historical internal data of each inspection area during each historical inspection and the standard internal data of each inspection area, store the reference load-bearing data corresponding to each comprehensive damage value threshold, store the historical parameters of each restoration area, store the reference wood life span interval and reference wood type set corresponding to each wood historical value level, and store the comprehensive damage value interval corresponding to each damage level.

[0088] The embodiment of the present invention detects the apparent data and internal data of each detection area, analyzes whether each detection area needs to be repaired according to the load-bearing parameters, obtains each repair area, analyzes the repair type of each repair area according to the historical parameters, and then analyzes the reinforcement strategy of each reinforcement area according to the required reinforcement size and load-bearing data of each reinforcement position in each reinforcement area, analyzes the replacement strategy of each replacement area according to the replacement position distribution density and replacement area ratio of each replacement area, and then uses a repair robot to reinforce and replace, which solves the shortcomings of manually formulating repair strategies in traditional technologies, realizes the automation and unified analysis of wood detection data, ensures the scientificity and objectivity of the evaluation results, and effectively protects the historical value of the wooden structure when formulating the repair type in combination with historical parameters. At the same time, through multi-dimensional analysis of each reinforcement area, a reliable reference is provided for the subsequent formulation of reinforcement strategies, the quality of wooden structure reinforcement is guaranteed, and the replacement strategy is confirmed according to the distribution of replacement positions to ensure the stability and safety of subsequent wooden structures of ancient buildings.

[0089] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A smart construction method for repairing ancient building wooden structures. It is characterized in that The steps include: S100, wood testing: divide the wood structure in the ancient building into various testing areas, test the surface and interior of each testing area, obtain the surface data and internal data of each testing area, and extract the load-bearing parameters of each testing area; S200, damage analysis: based on the apparent data, internal data and load-bearing parameters of each inspection area, analyze whether each inspection area needs to be repaired, and select each repair area; S300, repair analysis: obtaining historical parameters of each repair area, and analyzing the repair type of each repair area, wherein the repair type includes structural reinforcement and structural replacement; S400, plan formulation: record each repair area whose repair type is a structural reinforcement type as a reinforcement area, record each repair area whose repair type is a structural replacement type as a replacement area, analyze the reinforcement strategy corresponding to each reinforcement area according to the apparent data and load-bearing parameters corresponding to each reinforcement area, and analyze the replacement strategy corresponding to each replacement area according to the apparent data corresponding to each replacement area; The reinforcement strategy corresponding to each reinforcement area is analyzed, and the specific analysis steps are as follows: S411, according to the apparent data corresponding to each reinforcement area, obtaining the required reinforcement size of each reinforcement position in each reinforcement area, and based on the load-bearing parameters of each reinforcement area, obtaining the load-bearing data of each reinforcement position in each reinforcement area; S412, comparing the required reinforcement size and load-bearing data of each reinforcement position in each reinforcement area with the preset required reinforcement size threshold and load-bearing data threshold respectively; if the load-bearing data of a reinforcement position in a reinforcement area is greater than or equal to the load-bearing data threshold, it indicates that the reinforcement method of the reinforcement position in the reinforcement area is to add a supporting structure; if the load-bearing data of a reinforcement position in a reinforcement area is less than the load-bearing data threshold, and the required reinforcement size of the reinforcement position in the reinforcement area is less than or equal to the required reinforcement size threshold, it indicates that the reinforcement method of the reinforcement position in the reinforcement area is to fill and repair; in this way, the reinforcement method of each reinforcement position in each reinforcement area is obtained, and the reinforcement methods of each reinforcement position in each reinforcement area are integrated as the reinforcement strategy corresponding to each reinforcement area; The replacement strategy corresponding to each replacement area is analyzed, and the specific analysis process is as follows: S421, based on the apparent data corresponding to each replacement area, obtaining each replacement position in each replacement area, and analyzing the replacement position distribution state coefficient corresponding to each replacement area; S421. If the replacement position distribution state coefficient corresponding to a certain replacement area is greater than or equal to 0, it is determined that the replacement strategy of the replacement area is overall replacement. If the replacement position distribution state coefficient corresponding to a certain replacement area is less than 0, it is determined that the replacement strategy of the replacement area is partial replacement. In this way, the replacement strategies corresponding to each replacement area are obtained. The specific analysis process of analyzing the replacement position distribution state coefficient corresponding to each replacement area is as follows: Connect each replacement position in each replacement area in sequence to obtain the replacement area in each replacement area, and count the number of replacement positions in each replacement area. Divide the replacement area in each replacement area by the number of replacement positions to obtain the replacement position distribution density of each replacement area, which is marked as ρ g , g represents the number of each replacement area, g = 1, 2, ..., y, y is any integer greater than 2, and the replacement area in each replacement area is divided by the total area of ​​each replacement area to obtain the replacement area ratio of each replacement area, which is marked as κ g ; Get the preset reference replacement position distribution density, preset reference replacement area ratio, replacement position distribution density weight coefficient and replacement area ratio weight coefficient, marked as ρ, κ, τ respectively 1 and τ 2 , according to the expression of the coefficient of the replacement position distribution state: Get the replacement position distribution state coefficient δ corresponding to the g-th replacement area g ; S500, repair execution: controlling the repair robot to reinforce each reinforcement area and replace each replacement area according to the reinforcement strategy corresponding to each reinforcement area and the replacement strategy corresponding to each replacement area.

2. According to claim 1, a smart construction method for repairing ancient building wooden structures, It is characterized in that The specific analysis process of analyzing whether each detection area needs to be repaired is as follows: S201, extracting crack data, decay data and color data from the apparent data of each detection area, and extracting the historical apparent data of each detection area during each historical detection and the standard apparent data of each detection area, setting the crack data weight factor, decay data weight factor and color data weight factor of each detection area, and analyzing the apparent damage value of each detection area; S202, extracting wood moisture and wood density from the internal data of each detection area, and extracting the historical internal data of each detection area during each historical detection and the standard internal data of each detection area, setting the wood moisture weight factor and the wood density weight factor of each detection area, and analyzing the internal damage value of each detection area; S203, adding the apparent damage value and the internal damage value of each detection area to obtain the comprehensive damage value of each detection area, extracting the total load-bearing data from the load-bearing parameters corresponding to each detection area, and comparing the total load-bearing data corresponding to each detection area with the reference load-bearing data corresponding to each comprehensive damage value threshold stored in the ancient building database to obtain the comprehensive damage value threshold corresponding to each detection area; S204. Compare the comprehensive damage value of each detection area with the comprehensive damage value threshold corresponding to each detection area. If the comprehensive damage value of a detection area is greater than the comprehensive damage value threshold corresponding to the detection area, it indicates that the detection area needs to be repaired, and the detection area is recorded as a repair area. In this way, it is determined whether each detection area needs to be repaired, and each repair area is obtained at the same time.

3. According to claim 2, a smart construction method for repairing ancient building wooden structures, It is characterized in that The specific analysis process of analyzing the apparent damage value of each detection area is as follows: S211, extracting historical crack data, decay data and color data from the historical apparent data of each detection area during each historical detection, and analyzing the crack change rate, decay change rate and color change rate in each detection area, dividing the crack change rate in each detection area by the sum of the crack change rate, decay change rate and color change rate in each detection area, to obtain the crack data weight factor in each detection area, and similarly, to obtain the decay data weight factor and color data weight factor in each detection area; S212, marking the crack data, decay data and color data of each detection area as LW r FX r and YS r , r represents the number of each inspection area, r = 1, 2, ..., f, f is any integer greater than 2; the permissible crack data, permissible decay data and standard color data are extracted from the standard apparent data of each inspection area, and are marked as LW respectively. r ′、FX r ′ and YS r ′; S213, based on the apparent damage value expression: Get the apparent damage value φ of the rth detection area r , where γ 1r , γ 2r , γ 3r They respectively represent the crack data weight factor, decay data weight factor, and color data weight factor of the rth detection area, and e represents a natural constant.

4. According to claim 2, a smart construction method for repairing ancient building wooden structures, It is characterized in that The specific analysis steps for analyzing the repair type of each repair area are as follows: S311, obtaining the wood lifespan and wood type from the historical parameters of each restoration area, and comparing them with the reference wood lifespan interval and reference wood type set corresponding to each wood historical value level stored in the ancient building database; if the wood lifespan of a restoration area is within the reference wood lifespan interval corresponding to a certain wood historical value level, and the wood type of the restoration area is within the reference wood type set corresponding to the wood historical value level, then the wood historical value level is used as the wood historical value level of the restoration area, thereby obtaining the wood historical value level of each restoration area; S312, extracting the comprehensive damage value of each repair area, and comparing it with the comprehensive damage value interval corresponding to each damage level stored in the ancient building database to obtain the damage level of each repair area; S313, comparing the wood historical value level of each repair area with the preset reference wood historical value level, and comparing the damage level of each repair area with the preset reference wood damage level. If the wood historical value level of a repair area is greater than or equal to the preset reference wood historical value level, it indicates that the repair type of the repair area is the structural reinforcement type; If the wood historical value level of a repair area is less than the preset reference wood historical value level, and the damage level of the repair area is less than the preset reference wood damage level, it indicates that the repair type of the repair area is the structural reinforcement type; If the wood historical value level of a repair area is less than the preset reference wood historical value level, but the damage level of the repair area is greater than or equal to the preset reference wood damage level, it indicates that the repair type of the repair area is the structural replacement type; In this way, the repair type of each repair area is obtained.

5. An ancient building wooden structure repair intelligent construction system using the ancient building wooden structure repair intelligent construction method according to any one of claims 1 to 4, It is characterized in that Includes the following modules: The wood detection module is used to divide the wood structure in the ancient building into various detection areas, detect the surface and interior of each detection area, obtain the surface data and internal data of each detection area, and extract the load-bearing parameters of each detection area; The damage analysis module is used to analyze whether each inspection area needs to be repaired based on the apparent data, internal data and load-bearing parameters of each inspection area, and to select each repair area; A repair analysis module is used to obtain historical parameters of each repair area and analyze the repair type of each repair area, where the repair type includes structural reinforcement and structural replacement; A plan formulation module is used to record each repair area whose repair type is a structural reinforcement type as each reinforcement area, and record each repair area whose repair type is a structural replacement type as each replacement area, and analyze the reinforcement strategy corresponding to each reinforcement area according to the apparent data and load-bearing parameters corresponding to each reinforcement area, and analyze the replacement strategy corresponding to each replacement area according to the apparent data corresponding to each replacement area; The repair execution module is used to control the repair robot to reinforce each reinforcement area and replace each replacement area according to the reinforcement strategy corresponding to each reinforcement area and the replacement strategy corresponding to each replacement area.

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