A method for reconstructing an analysis model of an ancient building structure

Abstract

The present invention discloses a method for reconstructing an ancient building structure analysis model, which relates to the technical field of ancient building structure analysis models. This method uses laser scanning technology to obtain point cloud data, reconstructs a three-dimensional model of the single structure of the ancient building, and then collects the simulated structure model data of the single structure of the ancient building and establishes a standard data set to form a unified evaluation standard; then comprehensively considers the historical coefficient Lsx, environmental coefficient Dls, and load coefficient Fzx of the single structure of the ancient building, and conducts evaluation and repair annotation; sorts the repair priorities according to the evaluation results, formulates individualized repair plans for the different numbers of repair annotations and the magnitudes of influencing factors of each single structure of the ancient building, timely prevents the damage degree of the single structure of the ancient building with serious damage from further deteriorating, better meets the repair requirements of the single structure of the ancient building, and improves the repair effect and long-term protection effect.

Description

Technical Field

[0001] The present invention relates to the technical field of analysis models, and specifically to a method for reconstructing an analysis model of ancient building structures. Background Technique

[0002] In the patent with the application number 201910995921.9, the invention discloses a method for reconstructing an analysis model of a single ancient building structure driven by knowledge rules, including: designing the organization mode of the single ancient building structure model; collecting relevant data on the current situation of ancient buildings; based on the organization mode of the single ancient building structure model and the relevant data, performing spatial clustering, structure extraction, and model reconstruction based on a multi-constraint knowledge rule base; reconstructing a spatial calculation model driven by knowledge rules, and converting the spatial calculation model into a first finite element analysis model. This method is based on the original design data of ancient buildings and structural information such as the overall damage of the current situation of ancient buildings, and uses the collaborative coupling of key technologies in surveying and mapping disciplines and civil engineering disciplines as a means to establish a new multi-dimensional spatial data model and structural state analysis model, endowing the ancient building entity with the ability to perceive and calculate changes in the spatial environment; it can provide a first finite element analysis model for comprehensive, complete, and accurate analysis of subsequent single ancient building structures.

[0003] However, in the patent with the application number 201910995921.9, it only "is based on the original design data of ancient buildings and structural information such as the overall damage of the current situation of ancient buildings", without considering the repair sequence of ancient buildings. Because in ancient times, many ancient buildings often adopted group structures, such as ancient palaces, temples, and city walls, which were composed of multiple single building entities to form a complete building complex; since the damage degrees of each single ancient building entity are different, delaying the repair of the single ancient building entity with a serious damage degree will lead to further deterioration of the damage degree and there are also potential safety hazards; therefore, in the repair work of single ancient building structures, the repair sequence of each single ancient building entity is crucial.

[0004] And when repairing a single ancient building entity, the influencing factors on the single ancient building structure are not considered from multiple aspects, and the stability, safety, and long-term sustainability of the single ancient building structure are not considered. Summary of the Invention

[0005] Technical Problems to be Solved

[0006] Aiming at the deficiencies of the prior art, the present invention provides a method for reconstructing an analysis model of ancient building structures, which solves the problems mentioned in the background technique.

[0007] Technical Solution

[0008] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for reconstructing an ancient building structure analysis model, comprising the following steps,

[0009] Step 1: Laser scan the structure of each individual ancient building in the ancient building complex to obtain the point cloud data on the building surface for subsequent analysis and modeling; Based on the point cloud data, perform three-dimensional digital modeling on the individual ancient buildings, and at the same time form a three-dimensional model group of the individual ancient building structures;

[0010] Step 2: Analyze the repair impact and historical factors of each individual ancient building structure; First, collect various historical data of the individual ancient building structure as parameters, calculate, correlate the parameters, and quantify the historical factors of the individual ancient building structure to obtain: historical coefficient Lsx, and evaluate it. According to the first evaluation result, perform the first repair annotation;

[0011] Step 3: Secondly, analyze the environment where the individual ancient building structure is located, and collect relevant parameters of the geographical environment and climate environment where the individual ancient building structure is located; Quantify the impact of the geographical environment and climate environment on the individual ancient building structure, calculate to obtain the environment coefficient Dls and evaluate it. According to different evaluation results, perform the second repair annotation;

[0012] Step 4: Finally, analyze the load of the individual ancient building structure itself, collect the load data of the individual ancient building structure and calculate to obtain the load coefficient Fzx, quantify the load factors received by the individual ancient building structure, and thus evaluate it; Compare different evaluation results with a preset threshold K3, and then perform the third repair annotation;

[0013] Step 5: Sort the repair order of each individual ancient building structure according to the number of repair annotations obtained for each individual ancient building structure; When repairing the individual ancient building structure, compare the numerical values of the historical coefficient Lsx, environment coefficient Dls, and load coefficient Fzx. Based on the numerical values of each influencing factor as a reference, generate a repair and protection advice report for the individual ancient building structure.

[0014] Preferably, use a laser scanner to scan each individual ancient building structure at different angles and positions to obtain the point cloud data of the individual ancient building structure; Then, through feature extraction and matching, clean and register the point cloud data, including the structural features, details, and dimension parameters of each individual ancient building structure. Based on the processed data, use CAD software to respectively reconstruct the three-dimensional models of each individual ancient building structure, import the three-dimensional models into the virtual reality platform, use VR technology to simulate the original appearance of the ancient building, and at the same time collect the model data of the simulated structure of the individual ancient building structure, and establish a standard data set for later evaluation.

[0015] Preferably, the parameters of the repair impact and historical impact of the single ancient building structure collected include the material loss value Clx, the historical load-bearing capacity Lsz, the structural index Jgx, and the total number of repairs Wxs;

[0016] The material loss value Clx represents the degree of loss of the materials currently used in the ancient building. The historical load-bearing capacity Lsz represents the load conditions borne by the ancient building during its past use. The structural index Jgx represents the geometric parameters of the single ancient building structure, including the wall thickness, the cross-sectional area of the load-bearing columns, and the span of the beams. The total number of repairs Wxs represents the total number of times the single ancient building structure has been repaired in the past;

[0017] The material loss value Clx evaluates the material loss degree of the single ancient building structure through infrared radiation in infrared detection. The historical load-bearing capacity Lsz and the total number of repairs Wxs are obtained by investigating historical documents. The structural index Jgx is obtained through simulation calculations using structural analysis software.

[0018] Preferably, after extracting the material loss value Clx, the historical load-bearing capacity Lsz, the structural index Jgx, and the total number of repairs Wxs and performing dimensionless processing, the historical coefficient Lsx is calculated through the following formula:

[0019]

[0020] In the formula, q1, q2, q3, and q4 respectively represent the weight values of the material loss value Clx, the historical load-bearing capacity Lsz, the structural index Jgx, and the total number of repairs Wxs;

[0021] And 0 < q1 < 1, 0 < q2 < 1, 0 < q3 < 1, 0 < q4 < 1, q1 + q2 + q3 + q4 = 1; A represents the first correction constant;

[0022] The preset threshold K1 is used to compare and evaluate the historical coefficient Lsx to obtain the first evaluation result, including:

[0023] If the historical coefficient Lsx > the threshold K1, it means that the overall structure and the stability and loss degree of the building materials of the ancient building are normal, and the stress situation and bearing capacity are normal. At this time, no marking is made, and the geographical environment of the single ancient building structure is continued to be evaluated;

[0024] If the historical coefficient Lsx ≤ the threshold K1, it means that the overall structure and the stability and resistance of the building materials of the ancient building are abnormal, and the stress situation and bearing capacity are abnormal. At this time, the first repair marking is made for the historical coefficient Lsx.

[0025] Preferably, the parameters used to evaluate the impact of the geographical environment on the single ancient building structure are: the monthly average precipitation Yjl, the underground water quality index Dxl, the surface slope Dbs, the soil bearing value Trz, the wind direction frequency Fxp, and the biological damage area Spm;

[0026] The historical monthly average precipitation Yjl is obtained through monitoring by a rain gauge, which reflects the average monthly precipitation in the geographical environment where the ancient building is located. The monthly precipitation in the past three years is collected, and the historical monthly precipitation is obtained through statistical calculation.

[0027] The formula for the historical monthly average precipitation Yjl is as follows:

[0028]

[0029] The underground water quality index Dxl is obtained through analysis by a water quality analysis instrument, which reflects the water quality status of the underground water, including the pH value and the content of organic pollutants wrwhl per cubic meter. After dimensionless treatment: pH * wrrhl;

[0030] The surface slope Dbs is obtained through measurement by a topographic survey instrument, which reflects the surface slope condition of the geographical environment where the ancient building is located.

[0031] The soil bearing value Trz is obtained through monitoring by a static cone penetration test instrument, which reflects the foundation stability of the geographical environment where the ancient building is located.

[0032] The wind direction frequency Fxp is obtained through a wind speed and direction monitor, which reflects the wind direction characteristics of the geographical environment where the ancient building is located.

[0033] The biological damage area Yhz is obtained through image recognition technology, which reflects the damage area caused by various harmful organisms existing in the ancient building structure.

[0034] Preferably, after dimensionless treatment of the monthly average precipitation Yjl, the underground water quality index Dxl, the surface slope Dbs, the soil bearing value Trz, the wind direction frequency Fxp, and the biological damage area Spm, the environmental coefficient Dls is calculated through the following formula:

[0035]

[0036] In the formula, w1, w2, w3, w4, w5, and w6 respectively represent the weight values of the monthly average precipitation Yjl, the underground water quality index Dxl, the surface slope Dbs, the soil bearing value Trz, the wind direction frequency Fxp, and the biological damage area Spm;

[0037] And 0 < w1 < 1, 0 < w2 < 1, 0 < w3 < 1, 0 < w4 < 1, 0 < w5 < 1, 0 < w6 < 1, and w1 + w2 + w3 + w4 + w5 + w6 = 1;

[0038] The preset environmental threshold K2 is compared and evaluated with the environmental coefficient Dls to generate the following results:

[0039] When the environmental threshold K2 > the environmental coefficient Dls, it indicates that the geographical environment and climate environment around the single ancient building structure have little impact on the single ancient building structure. At this time, the environmental coefficient Dls is not marked, and the load environment of the single ancient building structure is continuously evaluated;

[0040] When the environmental threshold K2 ≤ the environmental coefficient Dls, it indicates that the geographical environment and climate environment around the single ancient building structure have a great impact on the single ancient building structure. At this time, the second repair mark is made on the environmental coefficient Dls.

[0041] Preferably, the load data affecting the single ancient building structure include: self-weight load Zfz, use load Syz, and environmental load Hfz;

[0042] The self-weight load Zfz refers to the self-weight of the single ancient building structure and is obtained through point cloud data;

[0043] The use load Syz refers to the load borne by the single ancient building structure during use, including the additional weight of the internal pedestrian flow, behavior data, and objects during the use of the ancient building. It is obtained through the investigation and statistics of the use situation of the single ancient building structure, and the use load Syz > the self-weight load Zfz;

[0044] The environmental load Hfz refers to the load borne by the single ancient building structure under specific external environments and is obtained through the following formula:

[0045]

[0046] In the formula, Sdz represents the humidity load, Wdz represents the temperature load, Trz represents the soil load, and Xzh represents the snow load; and the humidity load Sdz, temperature load Wdz, soil load Trz, and snow load Xzh have been dimensionless processed, and B is the second correction coefficient;

[0047] The humidity load Sdz is obtained through real-time monitoring by a humidity sensor and refers to the expansion and contraction of the building structure caused by humidity changes; the temperature load Wdz is obtained through real-time monitoring of the temperature inside and outside the building by a temperature sensor and represents the expansion and contraction of the building structure caused by temperature changes; the soil load Trz refers to the impact on the building structure due to soil deformation and bearing capacity and is obtained through soil mechanics tests and geological surveys; the snow load Xzh refers to the weight of the snow accumulated on the building structure and is obtained through real-time monitoring of snowfall by a meteorological station.

[0048] Preferably, after the self-weight load Zfz, use load Syz, and environmental load Hfz are dimensionless processed, the load coefficient Fzx is obtained through the following formula;

[0049]

[0050] In the formula, e1, e2, and e3 respectively represent the weight values of the self-weight load Zfz, the service load Syz, and the environmental load Hfz, and 0 < e1 < 1, 0 < e2 < 1, 0 < e3 < 1, and e1 + e2 + e3 = 1;

[0051] C is the third correction coefficient;

[0052] The preset load threshold K3 is compared and evaluated with the load coefficient Fzx to generate the following results:

[0053] If the load threshold K3 > the load coefficient Fzx, it indicates that the load capacity of the single ancient building structure is normal, and at this time, no marking is made, and the sorting preparation work is carried out;

[0054] If the load threshold K3 ≤ the load coefficient Fzx, it indicates that the load capacity of the single ancient building structure is abnormal. At this time, a third repair mark is made on the load coefficient Fzx, and then the sorting preparation work is carried out.

[0055] Preferably, in the ancient building group, the first obtained on each single ancient building structure model is counted, sorted according to the number of markings, and the single ancient building structure with the largest number of markings on the model is preferentially repaired.

[0056] Preferably, when repairing the single ancient building structure, if the number of markings on the single ancient building structure model is equal or there is no marking, then compare the numerical values among the historical coefficient Lsx, the environmental coefficient Dls, and the load coefficient Fzx. At the same time, the historical coefficient Lsx, the environmental coefficient Dls, and the load coefficient Fzx respectively represent the damage caused by historical reasons, environmental reasons, and load reasons of the ancient building; the coefficient with the larger numerical value indicates the main reason for the damage of the ancient building, and it is preferentially repaired. Finally, a repair report is generated for each single ancient building structure.

[0057] Beneficial effects

[0058] The present invention provides a method for reconstructing an analysis model of an ancient building structure. It has the following beneficial effects:

[0059] (1) For the method for reconstructing an analysis model of an ancient building structure, the point cloud data obtained by using laser scanning technology is used to reconstruct the structure of the ancient building, and in the repair work, through digital modeling, a more intuitive and comprehensive understanding of the ancient building structure is provided; a comprehensive analysis of the influencing factors for the repair of the ancient building is carried out, including historical factors, geographical and climatic environment factors, and load factors, ensuring that the ancient building structure after repair has stability, safety, and long-term sustainability; according to the number of repair markings and the magnitudes of the influencing factors, the repair order of each single ancient building structure is sorted, the priority of the repair work is reasonably planned, and clear guidance is provided for the repair process.

[0060] (2) The reconstruction method of an ancient building structure analysis model collects the simulated structure model data of the single ancient building structure and establishes a standard data set to form a unified evaluation standard, improving the scientificity and accuracy of the evaluation; combines historical coefficients, environmental coefficients, and load coefficients for multi-factor evaluation, comprehensively considering the structural stability, material protection, durability, environmental adaptability, and cultural protection and inheritance of the single ancient building structure, and maximally protecting the integrity of the single ancient building structure; sorts the repair priorities according to the evaluation results, formulates individualized repair plans for the different repair annotation quantities and influencing factor sizes of each single ancient building structure, timely prevents the damage degree of the single ancient building structure with serious damage from further deteriorating, better meets the repair requirements of the single ancient building structure, and improves the repair effect and long-term protection effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a schematic flow chart of the reconstruction method of an ancient building structure analysis model of the present invention; DETAILED DESCRIPTION OF THE EMBODIMENTS

[0062] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0063] Embodiment 1

[0064] Please refer to Figure 1 , a reconstruction method of an ancient building structure analysis model, including the following steps,

[0065] Step 1: Laser scan the structure of each single ancient building in the ancient building group to obtain the point cloud data on the building surface for subsequent analysis and modeling; perform three-dimensional digital modeling on the single ancient building based on the point cloud data, and at the same time form a three-dimensional model group of the single ancient building structure.

[0066] Step 2: Analyze the repair influence and historical factors of each single ancient building structure; first collect various historical data of the single ancient building structure as parameters, calculate, correlate the parameters, and quantify the historical factors of the single ancient building structure to obtain: historical coefficient Lsx, and evaluate it. According to the first evaluation result, perform the first repair annotation.

[0067] Step 3. Secondly, analyze the environment where the ancient building single structure is located, and collect relevant parameters of the geographical environment and climate environment where the ancient building single structure is located; quantify the influence of the geographical environment and climate environment on the ancient building single structure, calculate and obtain the environmental coefficient Dls and evaluate it. According to different evaluation results, conduct the second repair annotation;

[0068] Step 4. Finally, analyze the load of the ancient building single structure itself, collect the load data of the ancient building single structure and calculate to obtain the load coefficient Fzx, quantify the load factors received by the ancient building single structure, and thus conduct an evaluation; preset a threshold K3 to compare different evaluation results, and then conduct the third repair annotation;

[0069] Step 5. According to the number of repair annotations obtained for each ancient building single structure, sort the repair order of each ancient building single structure; when repairing the ancient building single structure, compare the numerical values of the historical coefficient Lsx, environmental coefficient Dls, and load coefficient Fzx, and generate a repair and protection suggestion report for the ancient building single structure based on the numerical values of each influencing factor as a reference.

[0070] In this embodiment, when analyzing the influencing factors of the repair of each ancient building single structure, further consider the stability of the structure, including the bearing capacity, stress condition, and crack distribution of the structure, consider the influence of the material characteristics of the ancient building and its aging over time on the structure, which helps to evaluate the stability and durability of the structure, and obtain relevant information through physical property tests of materials and investigations of historical documents; respect the historical characteristics and cultural values of the ancient building during the repair work, retain the original appearance and historical traces, and adopt protective measures to avoid damaging the original historicity; at the same time, consider the influence of natural disasters on the ancient building. During the repair process, earthquake-resistant, wind-resistant, and waterproof measures should be adopted to improve the disaster resistance ability of the ancient building; and consider the sustainability and long-term management of the repair plan, including regular inspection, maintenance, and management of the repaired ancient building to ensure its long-term stability and sustainable development.

[0071] Embodiment 2

[0072] Use a laser scanner to scan each ancient building single structure at different angles and positions to obtain the point cloud data of the ancient building single structure; then through feature extraction and matching, clean and register the point cloud data, including the structural features, details, and dimension parameters of each ancient building single structure. Based on the processed data, use CAD software to reconstruct the three-dimensional model of each ancient building single structure respectively, import the three-dimensional model into the virtual reality platform, use VR technology to simulate the original appearance of the ancient building, and at the same time collect the model data of the simulated structure of the ancient building single structure, and establish a standard data set for later evaluation.

[0073] In this embodiment, the laser scanner scans the ancient building at different angles and positions, generates and records various details and forms on the surface of the ancient building, including point cloud data of structural features, textures, and dimensions; through feature extraction and matching algorithms, the point cloud data is cleaned to remove noise and irrelevant data generated during the scanning process, and then registration is performed. During the process, the point cloud data at different angles and positions is fused into a complete three-dimensional model; based on the cleaned and registered point cloud data, 3D modeling is carried out using CAD software, including the external shape and internal structure of the building; the reconstructed three-dimensional model is imported into the virtual reality platform, and the original appearance of the ancient building is simulated using VR technology, enabling users to better understand its structure and history through virtual reality devices; at the same time, the simulated structural data of the individual structure of the ancient building is collected, including structural parameters, material properties, and historical records, etc., providing a basis and reference for later evaluation and analysis.

[0074] Embodiment 3

[0075] The parameters of the repair impact and historical impact of the individual structure of the ancient building collected include the material loss value Clx, the historical load-bearing capacity Lsz, the structural index Jgx, and the total number of repairs Wxs;

[0076] The material loss value Clx represents the degree of material loss of the materials currently used in the ancient building, the historical load-bearing capacity Lsz represents the load conditions borne by the ancient building during past use, the structural index Jgx represents the geometric parameters of the individual structure of the ancient building, including the wall thickness, the cross-sectional area of the load-bearing column, and the span of the beam, and the total number of repairs Wxs represents the total number of times of past repairs of the individual structure of the ancient building;

[0077] The material loss value Clx evaluates the degree of material loss of the individual structure of the ancient building through infrared radiation in infrared detection, the historical load-bearing capacity Lsz and the total number of repairs Wxs are obtained by investigating historical documents, and the structural index Jgx is obtained through simulation calculations using structural analysis software.

[0078] After extracting the material loss value Clx, the historical load-bearing capacity Lsz, the structural index Jgx, and the total number of repairs Wxs and performing dimensionless processing, the historical coefficient Lsx is calculated through the following formula:

[0079]

[0080] In the formula, q1, q2, q3, and q4 respectively represent the weight values of the material loss value Clx, the historical load-bearing capacity Lsz, the structural index Jgx, and the total number of repairs Wxs;

[0081] And 0 < q1 < 1, 0 < q2 < 1, 0 < q3 < 1, 0 < q4 < 1, q1 + q2 + q3 + q4 = 1; A represents the first correction constant;

[0082] The preset threshold K1 is used to compare and evaluate the historical coefficient Lsx to obtain the first evaluation result, including:

[0083] If the historical coefficient Lsx > the threshold K1, it indicates that the overall structure and the stability and loss degree of building materials of the ancient building are normal, the stress condition and bearing capacity are normal, and no marking is made at this time, and the geographical environment of the single structure of the ancient building is continuously evaluated;

[0084] If the historical coefficient Lsx ≤ the threshold K1, it indicates that the overall structure and the stability and resistance of building materials of the ancient building are abnormal, the stress condition and bearing capacity are abnormal, and a first repair mark is made for the historical coefficient Lsx at this time.

[0085] In this embodiment, the material coefficient Clx reflects the resistance and stability of the material, the historical load Lsz reflects the stress condition of the ancient building under use and environmental conditions, and the structural coefficient Jgx reflects the form and bearing capacity of the single structure of the ancient building, which is calculated by associating the wall thickness hd, the cross-sectional area hjmj of the load-bearing column, and the span kd of the beam. ;

[0086] The total number of repairs Wxs reflects the protection and repair effect of the ancient building repair project on the structure. The material loss value Clx, the historical load Lsz, the structural index Jgx, and the total number of repairs Wxs are calculated to obtain the historical coefficient Lsx and evaluated, so as to quantify the influence of previous repairs and historical factors in the repair of the single structure of the ancient building.

[0087] Example 4

[0088] The parameters used to evaluate the influence of the geographical environment on the single structure of the ancient building are: monthly average precipitation Yjl, underground water quality index Dxl, surface slope Dbs, soil bearing value Trz, wind direction frequency Fxp, and biological damage area Spm;

[0089] The historical monthly average precipitation Yjl is obtained by monitoring with a rain gauge, which reflects the average monthly precipitation of the geographical environment where the ancient building is located. The precipitation of each month in the past three years is collected and statistically calculated to obtain the historical monthly precipitation;

[0090] The formula for the historical monthly average precipitation Yjl is:

[0091]

[0092] The underground water quality index Dxl is obtained by analyzing with a water quality analyzer, which reflects the water quality condition of the underground water, including the pH value and the content wrwhl of organic pollutants per cubic meter. After dimensionless treatment: pH * wrrhl;

[0093] The ground surface slope Dbs is obtained by measuring with a topographic survey instrument, reflecting the ground surface slope of the geographical environment where the ancient building is located;

[0094] The soil bearing value Trz is monitored by a static cone penetration test instrument, reflecting the foundation stability of the geographical environment where the ancient building is located;

[0095] The wind direction frequency Fxp is obtained by an anemometer and wind vane, reflecting the wind direction characteristics of the geographical environment where the ancient building is located;

[0096] The biological damage area Yhz is obtained by image recognition technology, reflecting the damage area caused by various harmful organisms existing in the ancient building structure.

[0097] After dimensionless processing of the monthly average precipitation Yjl, the groundwater quality index Dxl, the ground surface slope Dbs, the soil bearing value Trz, the wind direction frequency Fxp, and the biological damage area Spm, the environmental coefficient Dls is calculated through the following formula:

[0098]

[0099] In the formula, w1, w2, w3, w4, w5, and w6 respectively represent the weight values of the monthly average precipitation Yjl, the groundwater quality index Dxl, the ground surface slope Dbs, the soil bearing value Trz, the wind direction frequency Fxp, and the biological damage area Spm;

[0100] And 0 < w1 < 1, 0 < w2 < 1, 0 < w3 < 1, 0 < w4 < 1, 0 < w5 < 1, 0 < w6 < 1, and w1 + w2 + w3 + w4 + w5 + w6 = 1;

[0101] The preset environmental threshold K2 is compared and evaluated with the environmental coefficient Dls to generate the following results:

[0102] When the environmental threshold K2 > the environmental coefficient Dls, it indicates that the geographical environment and the climate environment around the single - structure of the ancient building have little impact on the single - structure of the ancient building. At this time, no annotation is made for the environmental coefficient Dls, and the load environment of the single - structure of the ancient building is continuously evaluated;

[0103] When the environmental threshold K2 ≤ the environmental coefficient Dls, it indicates that the geographical environment and the climate environment around the single - structure of the ancient building have a great impact on the single - structure of the ancient building. At this time, a second repair annotation is made for the environmental coefficient Dls.

[0104] In this embodiment, the average monthly precipitation Yjl represents the precipitation in the geographical environment where the single ancient building structure is located. Excessive or insufficient precipitation will damage the ancient building structure; the underground water quality index Dxl reflects the water quality status of the groundwater under the single ancient building structure, including the pH value and pollutant content, and the quality status of the groundwater will affect the foundation stability of the ancient building and the durability of building materials; the surface slope Dbs represents the surface slope situation in the geographical environment where the single ancient building structure is located. Changes in the surface slope will affect the stability of the surrounding soil, thereby affecting the foundation and support structure of the ancient building; the soil bearing value Trz reflects the geological conditions in the geographical environment where the single ancient building structure is located. Different geological conditions will affect the foundation and structural stability of the ancient building; the wind direction frequency Fxp represents the wind field distribution in the geographical environment where the single ancient building structure is located. The intensity and direction of the wind field will affect the external structure and roof of the ancient building, especially under adverse weather conditions; the biological damage area Spm reflects the degree of biological damage in the geographical environment where the single ancient building structure is located, including a series of organisms such as fungi, vines and insects. Biological damage will lead to the corrosion and weakening of the ancient building structure.

[0105] Embodiment 5

[0106] The load data affecting the single ancient building structure include: self-weight load Zfz, service load Syz and environmental load Hfz;

[0107] The self-weight load Zfz refers to the self-weight of the single ancient building structure and is obtained through point cloud data;

[0108] The service load Syz refers to the load borne by the single ancient building structure during use and is obtained through the investigation and statistics of the use conditions of the single ancient building structure;

[0109] The environmental load Hfz refers to the load borne by the single ancient building structure under specific external environments and is obtained through the following formula:

[0110]

[0111] In the formula, Sdz represents the humidity load, Wdz represents the temperature load, Trz represents the soil load, and Xzh represents the snow load; and the humidity load Sdz, temperature load Wdz, soil load Trz and snow load Xzh have been dimensionless processed, and B is the second correction coefficient;

[0112] The humidity load Sdz is obtained by real-time monitoring with a humidity sensor, referring to the expansion and contraction of the building structure caused by humidity changes; the temperature load Wdz is obtained by real-time monitoring of the temperature inside and outside the building with a temperature sensor, representing the expansion and contraction of the building structure caused by temperature changes; the soil load Trz refers to the impact on the building structure due to soil deformation and bearing capacity, obtained through soil mechanics tests and geological surveys; the snow load Xzh refers to the weight of snow accumulated on the building structure, obtained by real-time monitoring of snowfall at a weather station.

[0113] After dimensionless processing of the self-weight load Zfz, the service load Syz, and the environmental load Hfz, the load coefficient Fzx is calculated through the following formula:

[0114]

[0115] In the formula, e1, e2, and e3 represent the self-weight load Zfz, the service load Syz, and the environmental load Hfz respectively, and C is the third correction coefficient;

[0116] The preset load threshold K3 is compared and evaluated with the load coefficient Fzx to generate the following results:

[0117] If the load threshold K3 > the load coefficient Fzx, it indicates that the load capacity of the single ancient building structure is normal. At this time, no load factors are marked, and the sorting preparation work is carried out;

[0118] If the load threshold K3 ≤ the load coefficient Fzx, it indicates that the load capacity of the single ancient building structure is abnormal. At this time, the third repair mark is made for the load factors, and the sorting preparation work is carried out. The load data affecting the single ancient building structure include: the self-weight load Zfz, the service load Syz, and the environmental load Hfz;

[0119] The self-weight load Zfz refers to the self-weight of the single ancient building structure and is obtained through point cloud data;

[0120] The service load Syz refers to the load borne by the single ancient building structure during use, including the additional weight of the internal pedestrian flow, behavior data, and objects during the use of the ancient building. It is obtained through the investigation and statistics of the use situation of the single ancient building structure, and the service load Syz > the self-weight load Zfz;

[0121] The environmental load Hfz refers to the load borne by the single ancient building structure under a specific external environment and is calculated through the following formula:

[0122]

[0123] In the formula, Sdz represents the humidity load, Wdz represents the temperature load, Trz represents the soil load, and Xzh represents the snow load; and the humidity load Sdz, the temperature load Wdz, the soil load Trz, and the snow load Xzh have been dimensionless processed, and B is the second correction coefficient;

[0124] The humidity load Sdz is obtained by real-time monitoring with a humidity sensor, which refers to the expansion and contraction of the building structure caused by humidity changes; the temperature load Wdz is obtained by real-time monitoring the temperature inside and outside the building with a temperature sensor, which represents the expansion and contraction of the building structure caused by temperature changes; the soil load Trz refers to the impact of soil deformation and bearing capacity on the building structure, and is obtained through soil mechanics tests and geological surveys; the snow load Xzh refers to the weight of the snow accumulated on the building structure, and is obtained by real-time monitoring of snowfall conditions at a meteorological station.

[0125] After the self-weight load Zfz, the service load Syz, and the environmental load Hfz are dimensionless processed, the load coefficient Fzx is calculated through the following formula;

[0126]

[0127] In the formula, e1, e2, and e3 respectively represent the weight values of the self-weight load Zfz, the service load Syz, and the environmental load Hfz, and 0 < e1 < 1, 0 < e2 < 1, 0 < e3 < 1, and e1 + e2 + e3 = 1;

[0128] C is the third correction coefficient;

[0129] The preset load threshold K3 is compared and evaluated with the load coefficient Fzx to generate the following results:

[0130] If the load threshold K3 > the load coefficient Fzx, it means that the load capacity of the single ancient building structure is normal, and at this time, no marking is made, and the sorting preparation work is carried out;

[0131] If the load threshold K3 ≤ the load coefficient Fzx, it means that the load capacity of the single ancient building structure is abnormal. At this time, a third repair mark is made on the load coefficient Fzx, and then the sorting preparation work is carried out.

[0132] In this embodiment, the reason for considering the self-weight load Zfz of the single ancient building structure is that: due to the passage of time of the ancient building, its structural materials have aged, become fatigued, and have defects. Therefore, its own weight will directly affect the stability and load-bearing capacity of the structure. Therefore, during the repair process, it is necessary to fully evaluate whether the self-weight load of the ancient building exceeds the original design load-bearing capacity range to determine whether it is necessary to reinforce or transform the structure of the ancient building;

[0133] The reasons for considering the use load Syz are as follows: Buildings have different uses and functions in different historical periods, and there are also differences in the density of personnel and the frequency of use. It is necessary to reasonably evaluate the use load they bear. If the use load of ancient buildings exceeds the design range, it will lead to structural deformation, damage or collapse. Therefore, corresponding reinforcement and improvement measures need to be taken according to the actual situation during the repair process;

[0134] The reasons for considering the environmental load Hfz are as follows: Different geographical environments and climatic conditions will have varying degrees of impact on the structural stability and material properties of ancient buildings. For example, a high-humidity environment is prone to causing mildew and corrosion of building structures, a cold climate leads to structural frost cracking, and loose or subsiding soil will cause foundation settlement. Therefore, during the repair process, it is necessary to comprehensively consider the impact of the environment where the ancient building is located to take corresponding protection and reinforcement measures to ensure the structural safety and stability of the ancient building under different environmental conditions.

[0135] Example 6

[0136] In the ancient building group, for each single ancient building structure model, count the first obtained, and sort according to the marked quantity. Based on the single ancient building structure with the largest marked quantity on the model, give priority to repair.

[0137] When repairing the single ancient building structure, if the marked quantities on the single ancient building structure model are equal or there is no marking, then compare the magnitudes of the values among the historical coefficient Lsx, environmental coefficient Dls, and load coefficient Fzx. At the same time, the historical coefficient Lsx, environmental coefficient Dls, and load coefficient Fzx respectively represent the damage caused by historical reasons, environmental reasons, and load reasons of the ancient building; the coefficient with a larger value indicates the main reason for the damage of the ancient building and should be repaired first. Finally, a repair report is generated for each single ancient building structure.

[0138] In this embodiment, for the model of each single ancient building structure, count the obtained marked quantity. These marks represent different problems. Based on the marked quantity obtained on the single ancient building structure model, it helps to determine which ancient buildings need to be repaired first. Giving priority to considering the single ancient building structures with the largest marked quantity means that these structures have more problems or require more repair work; if the marked quantities of multiple single ancient building structures are equal, or there is no marking, additional comparison is needed. In this case, consider the magnitudes of the values among the historical influence factor, environmental influence factor, and load influence factor, and determine the repair priority of each single ancient building structure. If the value of a certain factor is larger, it indicates that this factor has a greater impact on the structural stability and should be given priority in repair.

[0139] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for reconstructing an analysis model of an ancient building structure, characterized in that: It includes the following steps: Step 1: Laser scan each ancient building monomer structure in the ancient building complex to obtain the point cloud data on the building surface for subsequent analysis and modeling; based on the point cloud data, conduct three-dimensional digital modeling of the individual ancient buildings, and at the same time form a three-dimensional model group of the ancient building monomer structures; Step 2: Analyze the repair impact and historical factors of each ancient building monomer structure; first, collect various historical data of the ancient building monomer structure as parameters, calculate, correlate the parameters, and quantify the historical factors of the ancient building monomer structure to obtain: historical coefficient Lsx, and evaluate it. According to the first evaluation result, conduct the first repair annotation; Step 3: Secondly, analyze the environment where the ancient building monomer structure is located, and collect relevant parameters of the geographical environment and climate environment where the ancient building monomer structure is located; and quantify the impact of the geographical environment and climate environment on the ancient building monomer structure, calculate to obtain the environmental coefficient Dls and evaluate it. According to different evaluation results, conduct the second repair annotation; Step 4: Finally, analyze the load of the ancient building monomer structure itself, collect the load data of the ancient building monomer structure and calculate to obtain the load coefficient Fzx, quantify the load factors suffered by the ancient building monomer structure, and then conduct an evaluation; preset a threshold K3 to compare different evaluation results, and then conduct the third repair annotation; Step 5: Sort the repair order of each ancient building monomer structure according to the number of repair annotations obtained for each ancient building monomer structure; When repairing the ancient building monomer structure, compare the numerical values of the historical coefficient Lsx, environmental coefficient Dls, and load coefficient Fzx, and based on the numerical values of each influencing factor as a reference, generate a repair and protection suggestion report for the ancient building monomer structure.

2. The reconstruction method of an ancient building structure analysis model according to claim 1, wherein: Use a laser scanner to scan each ancient building monomer structure at different angles and positions to obtain the point cloud data of the ancient building monomer structure; then through feature extraction and matching, clean and register the point cloud data, including the structural features, details, and dimensional parameters of each ancient building monomer structure. Based on the processed data, use CAD software to reconstruct the three-dimensional model of each ancient building monomer structure respectively, import the three-dimensional model into the virtual reality platform, use VR technology to simulate the original appearance of the ancient building, and at the same time collect the model data of the simulated structure of the ancient building monomer structure and establish a standard data set for later evaluation.

3. The reconstruction method of an ancient building structure analysis model according to claim 1, characterized in that: The parameters of the repair impact and historical impact of the ancient building monomer structure collected include the material loss value Clx, historical load-bearing capacity Lsz, structural index Jgx, and total number of repairs Wxs; The material loss value Clx represents the degree of loss of the materials currently used in the ancient building, the historical load-bearing capacity Lsz represents the load situation borne by the ancient building during past use, the structural index Jgx represents the geometric parameters of the ancient building monomer structure, including the wall thickness, cross-sectional area of the load-bearing column, and span of the beam, and the total number of repairs Wxs represents the total number of times of past repairs of the ancient building monomer structure; The material loss value Clx evaluates the material loss degree of the single ancient building structure through the infrared radiation in the infrared detection. The historical load-bearing capacity Lsz and the total number of repairs Wxs are obtained by investigating historical documents, and the structure index Jgx is obtained through the simulation calculation of the structure analysis software.

4. The reconstruction method of an ancient building structure analysis model according to claim 2, characterized in that: After extracting the material loss value Clx, the historical load-bearing capacity Lsz, the structure index Jgx, and the total number of repairs Wxs and performing dimensionless processing, the historical coefficient Lsx is calculated through the following formula: ； In the formula, q1, q2, q3, and q4 respectively represent the weight values of the material loss value Clx, the historical load-bearing capacity Lsz, the structure index Jgx, and the total number of repairs Wxs; and 0 < q1 < 1, 0 < q2 < 1, 0 < q3 < 1, 0 < q4 < 1, q1 + q2 + q3 + q4 = 1; A represents the first correction constant; The preset threshold K1 is used to compare and evaluate the historical coefficient Lsx to obtain the first evaluation result, including: If the historical coefficient Lsx > the threshold K1, it means that the overall structure of the ancient building, the stability and loss degree of the building materials are normal, the stress condition and the bearing capacity are normal. At this time, no marking is made, and the geographical environment of the single ancient building structure is continued to be evaluated; If the historical coefficient Lsx ≤ the threshold K1, it means that the overall structure of the ancient building, the stability and resistance of the building materials are abnormal, the stress condition and the bearing capacity are abnormal. At this time, the first repair marking is made for the historical coefficient Lsx.

5. The reconstruction method of an ancient building structure analysis model according to claim 1, characterized in that: The parameters used to evaluate the influence of the geographical environment on the single ancient building structure are: monthly average precipitation Yjl, underground water quality index Dxl, surface slope Dbs, soil bearing value Trz, wind direction frequency Fxp, and biological damage area Spm; The historical monthly average precipitation Yjl is obtained by monitoring with a rain gauge, which reflects the average monthly precipitation in the geographical environment where the ancient building is located. The monthly precipitation in the past three years is collected, and the historical monthly precipitation is statistically calculated; The formula for the historical monthly average precipitation Yjl is: ； The groundwater quality index Dxl is obtained through the analysis of a water quality analysis instrument, reflecting the water quality status of groundwater, including the pH value and the content of organic pollutants wrwhl per cubic meter. After dimensionless treatment: pH * wrwhl; The surface slope Dbs is measured by a topographic survey instrument, which reflects the surface slope condition of the geographical environment where the ancient building is located; The soil bearing value Trz is monitored by a static cone penetration test instrument, which reflects the foundation stability of the geographical environment where the ancient building is located; The wind direction frequency Fxp is obtained by a wind speed and wind direction monitor, which reflects the wind direction characteristics of the geographical environment where the ancient building is located; The biological damage area Spm is obtained by image recognition technology, which reflects the damage area caused by various harmful organisms existing in the ancient building structure.

6. The reconstruction method of an ancient building structure analysis model according to claim 1, characterized in that: After performing dimensionless processing on the monthly average precipitation Yjl, the underground water quality index Dxl, the surface slope Dbs, the soil bearing value Trz, the wind direction frequency Fxp, and the biological damage area Spm, the environmental coefficient Dls is calculated through the following formula: ； In the formula, w1, w2, w3, w4, w5, and w6 respectively represent the weight values of the monthly average precipitation Yjl, the underground water quality index Dxl, the surface slope Dbs, the soil bearing value Trz, the wind direction frequency Fxp, and the biological damage area Spm; And 0 < w1 < 1, 0 < w2 < 1, 0 < w3 < 1, 0 < w4 < 1, 0 < w5 < 1, 0 < w6 < 1, and w1 + w2 + w3 + w4 + w5 + w6 = 1; The preset environmental threshold K2 is compared and evaluated with the environmental coefficient Dls to generate the following results: When the environmental threshold K2 > the environmental coefficient Dls, it indicates that the geographical environment and climate environment around the single ancient building structure have little impact on the single ancient building structure. At this time, no annotation is made to the environmental coefficient Dls, and the load environment of the single ancient building structure is continuously evaluated; When the environmental threshold K2 ≤ the environmental coefficient Dls, it indicates that the geographical environment and climate environment around the single ancient building structure have a great impact on the single ancient building structure. At this time, a second repair annotation is made to the environmental coefficient Dls.

7. The reconstruction method of an ancient building structure analysis model according to claim 1, characterized in that: The load data affecting the single ancient building structure include: self-weight load Zfz, service load Syz, and environmental load Hfz; The self-weight load Zfz refers to the self-weight of the single ancient building structure and is obtained through point cloud data; The service load Syz refers to the load borne by the single ancient building structure during use, including the additional weight caused by the internal human flow, behavior data, and objects during the use of the ancient building. It is obtained through the investigation and statistics of the use situation of the single ancient building structure, and the service load Syz > the self-weight load Zfz; The environmental load Hfz refers to the load borne by the single ancient building structure under specific external environments and is obtained through the following formula: ； In the formula, Sdz represents the humidity load, Wdz represents the temperature load, Trz represents the soil load, and Xzh represents the snow load; and the humidity load Sdz, temperature load Wdz, soil load Trz, and snow load Xzh have been dimensionless processed, and B is the second correction coefficient; The humidity load Sdz is obtained by real-time monitoring with a humidity sensor and refers to the expansion and contraction of the building structure caused by humidity changes; the temperature load Wdz is obtained by real-time monitoring the temperature inside and outside the building with a temperature sensor and represents the expansion and contraction of the building structure caused by temperature changes; the soil load Trz refers to the impact on the building structure due to soil deformation and bearing capacity and is obtained through soil mechanics tests and geological surveys; the snow load Xzh refers to the snow weight borne by the building structure and is obtained by real-time monitoring of snowfall by a meteorological station.

8. A reconstruction method of an ancient building structure analysis model according to claim 7, characterized in that: After the self-weight load Zfz, service load Syz, and environmental load Hfz are dimensionless processed, the load coefficient Fzx is obtained through the following formula: ； In the formula, e1, e2, and e3 respectively represent the weight values of the self-weight load Zfz, service load Syz, and environmental load Hfz, and 0 < e1 < 1, 0 < e2 < 1, 0 < e3 < 1, e1 + e2 + e3 = 1; C is the third correction coefficient; The preset load threshold K3 is compared and evaluated with the load coefficient Fzx to generate the following results: If the load threshold K3 > the load coefficient Fzx, it indicates that the load capacity of the single ancient building structure is normal. At this time, no annotation is made and the sorting preparation work is carried out; If the load threshold K3 ≤ the load factor Fzx, it indicates that the load capacity of the single ancient building structure is abnormal. At this time, a third repair annotation is made for the load factor Fzx, and then the sorting preparation work is carried out.

9. The reconstruction method of an ancient building structure analysis model according to claim 1, characterized in that: In the ancient building group, count the first obtained on each single ancient building structure model, sort according to the number of annotations, and give priority to the repair of the single ancient building structure with the largest number of annotations on the model.

10. The reconstruction method of an ancient building structure analysis model according to claim 1, characterized in that: When repairing the single ancient building structure, if the number of annotations on the single ancient building structure model is equal or there is no annotation, then compare the magnitudes of the values among the historical coefficient Lsx, the environmental coefficient Dls, and the load factor Fzx. At the same time, the historical coefficient Lsx, the environmental coefficient Dls, and the load factor Fzx respectively represent the damage caused by historical reasons, the damage caused by environmental reasons, and the damage caused by load reasons of the ancient building. The coefficient with a larger value indicates the main cause of the damage to the ancient building, and it is repaired first. Finally, a repair report is generated for each single ancient building structure.

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