Three-dimensional simulation method and system for ancient building brick masonry

Abstract

The invention relates to the technical field of building repair, and particularly discloses a three-dimensional simulation method and system for ancient building brick masonry, and the system comprises a multi-dimensional collection module and an intelligent analysis module. According to the historic building brick masonry three-dimensional simulation method and system, detection data of all components in a historic building structure frame and historical data and environmental data of all time points in a historic building area are obtained through a multi-dimensional acquisition module and are classified to form a data set, an intelligent analysis module analyzes the use cycle of each group of components, the stability level of the components is judged, and the stability level of the components is judged. An ancient building model at the current time point is established, components of different stability levels are marked, comprehensive analysis is performed, the modeling precision is high, an intelligent analysis module continues to analyze the average variation of the area size, the surface strength and the inclination angle of each group of components, a corresponding reduction model is established, quantitative indexes are provided for degradation analysis, and the analysis accuracy is high. Evolution coefficients corresponding to environmental factors are simulated, an evolution model is established, a basis is provided for trend prediction, and intelligent prediction protection efficiency is high.

Description

Technical Field

[0001] The present invention relates to the technical field of building restoration, and specifically provides a three-dimensional simulation method and system for ancient building brick masonry. Background Art

[0002] Ancient building brick masonry is an important part of traditional building techniques and is widely used in building structures such as walls, columns, arches, and towers. Brick masonry is widely favored in ancient architecture due to its convenient material source, relatively simple manufacturing process, strong durability, and wide adaptability. Ancient building bricks are mainly made of natural materials such as clay and sand, and are formed, dried, and fired at high temperatures, having certain hardness, compressive strength, and water absorption. Brick materials and processes in different regions have their own characteristics, such as the common blue bricks in ancient China, red bricks in Japan, and red bricks in Europe. The sizes, colors, and textures of fired bricks vary due to differences in time and region. The construction technology of brick masonry is highly developed, and various complex building structures can be achieved through flexible splicing methods. Common masonry forms include horizontal laying method, vertical laying method, staggered masonry method, and arch masonry method. The horizontal laying method is to lay bricks horizontally to form a flat masonry. The vertical laying method is to arrange bricks vertically to increase the thickness and strength of the wall. The staggered masonry method is to alternately arrange horizontal and vertical bricks to enhance the overall stability. Arch masonry is to form archways, windows, or bridge structures through the arc arrangement of bricks, and use mechanical principles to disperse pressure. The joints of brick masonry are usually filled with materials such as glutinous rice mortar and lime mortar, which not only enhance the bonding force but also prevent water infiltration, improving durability. Ancient building brick masonry not only reflects the building technology level at that time but also carries rich cultural connotations. The shapes, arrangement methods, and carved patterns of bricks often contain specific historical backgrounds and cultural symbols and have important research value. However, brick masonry is also vulnerable to natural erosion and human damage and requires regular protection and repair work, including material repair, structural reinforcement, and environmental control, to extend the service life of ancient buildings while retaining their original appearance.

[0003] At present, the three-dimensional simulation method of traditional ancient building brick masonry requires manual judgment of the new and old degrees of all components in the structural framework, lacks the ability to scientifically judge the stability of components, is difficult to ensure the accuracy and quality of the three-dimensional model, cannot effectively discover potential risks in a timely manner, and has low efficiency in ancient building protection. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] Aiming at the deficiencies of the prior art, the present invention provides a new three-dimensional simulation method and system for ancient building brick masonry, which have the advantages of high-precision comprehensive analysis modeling, high intelligent prediction protection efficiency, etc., and solve the problems of lack of scientific judgment ability and low efficiency in ancient building protection in the traditional three-dimensional simulation method of ancient building brick masonry.

[0006] (2) Technical Solution

[0007] To achieve the above object, the present invention provides the following technical solution: A three-dimensional simulation method for ancient building brick masonry, comprising the following steps:

[0008] Step 1: Detect devices, databases, and big data platforms through the network to obtain the detection data of all components in the ancient building structure framework, the historical data and environmental data at all time points within the ancient building area, and classify the building data set, historical data set, and environmental data set;

[0009] Step 2: According to the historical data set, analyze the service life Syz of each group of components, judge the stability level of the components, and then combine with the building data set to establish the ancient building model GM at the current time point;

[0010] Step 3: According to the ancient building model GM at the current time point and the environmental data set, analyze the average change amounts of the area size, surface strength, and inclination angle of each group of components, simulate the evolution coefficient Yxs corresponding to environmental factors, and establish the corresponding restoration model HYM and evolution model YHM.

[0011] A three-dimensional simulation system for ancient building brick masonry, comprising a multi-dimensional acquisition module and an intelligent analysis module;

[0012] The multi-dimensional acquisition module consists of a building data unit, a historical data unit, and an environmental data unit. The building data unit acquires the building data set through the network connection detection device. The building data set includes the detection data of all components in the ancient building structure framework. The historical data unit acquires the historical data set through the network connection database. The historical data set includes the historical data at all time points within the ancient building area. The environmental data unit acquires the environmental data set through the network connection big data platform. The environmental data set includes the environmental data at all time points within the ancient building area;

[0013] The intelligent analysis module consists of a structure analysis unit and a simulation modeling unit. The structure analysis unit analyzes the service life Syz of each group of components according to the historical data set and judges the stability level of the components. The simulation modeling unit establishes the ancient building model GM at the current time point according to the building data set and marks the components with different stability levels in the ancient building model GM. The simulation modeling unit analyzes the average change amounts of the area size, surface strength, and inclination angle of each group of components according to the ancient building model GM at the current time point and the environmental data set, simulates the evolution coefficient Yxs corresponding to environmental factors, and establishes the corresponding restoration model HYM and evolution model YHM.

[0014] Compared with the prior art, the present invention provides a three-dimensional simulation method and system for ancient building brick masonry, having the following beneficial effects:

[0015] 1. The present invention obtains the detection data of all components in the ancient building structure framework, the historical data and environmental data of all time points within the ancient building area through a multi-dimensional acquisition module network-connected to a detection device, a database, and a big data platform, classifies and forms a data set. The intelligent analysis module analyzes the service life Syz of each group of components according to the historical data set, sets a periodic threshold ZY within a fixed range, compares the service life Syz of each group of components with the periodic threshold ZY to judge the stability level of the components. The stability level one is superior to the stability level two, and the stability level two is superior to the stability level three. Then, combined with the building data set, an ancient building model GM at the current time point is established, and components with different stability levels are marked in the ancient building model GGM, making the position and level of the problem components visually visible, which helps the management personnel to formulate effective repair decisions and has high accuracy in comprehensive analysis and modeling.

[0016] 2. The present invention, through the intelligent analysis module, analyzes the average change amounts of the area size, surface strength, and inclination angle of each group of components according to the ancient building model GGM and the environmental data set at the current time point, establishes a corresponding restoration model HYM, provides a quantitative index for component degradation analysis, supports the accurate restoration of subsequent models, provides higher research value, comprehensively considers the environmental data, calculates the multiple impacts of temperature, precipitation, wind force, and construction on the ancient building, simulates the evolution coefficient Yxs corresponding to environmental factors, and establishes a corresponding evolution model YHM, providing a basis for predicting the future change trend of the building and having high efficiency in intelligent prediction. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the system flow of the present invention;

[0018] Figure 2 It is a diagram of the method steps of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention 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 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.

[0020] Since the traditional three-dimensional simulation method of ancient building brick masonry requires manual judgment of the new and old degrees of all components in the structural framework, lacks the ability to scientifically judge the stability of components, is difficult to ensure the accuracy and quality of the three-dimensional model, cannot effectively discover potential risks in a timely manner, and has low efficiency in ancient building protection, a new three-dimensional simulation method and system for ancient building brick masonry are provided. Please refer to Figure 1 A three-dimensional simulation method for ancient building brick masonry includes the following steps:

[0021] Step 1: Connect the detection device, database, and big data platform through the network to obtain the detection data of all components in the ancient building structure framework, the historical data and environmental data at all time points within the ancient building area, and classify and form a building data set, a historical data set, and an environmental data set;

[0022] The expression of the building data set is {G1 d 、G2 d 、G3 d 、...、Gn d}, where G1 d to Gn d are the detection data of the first group to the Nth group of components respectively. The detection data includes area size, surface strength, and inclination angle. f represents the specific time when the detection data of each group of components is obtained. Specifically, the component types include beams, columns, and brick masonry. The weight of the beam is transmitted to the bottom surface through the brick masonry. The column not only supports the beam but also supports the roof or upper structure of the entire building. The brick masonry forms a key connection between the columns, constituting a stable whole, thus ensuring the load-bearing capacity of the structural framework. Collecting the detection data of each group of components comprehensively in chronological order is conducive to the pertinence of subsequent analysis and modeling work;

[0023] The expression of the historical data set is {L1 z 、L2 z 、L3 z 、...、LS z}, where L1 z to Ls z are the historical data of the first time point to the s-th time point respectively. The historical data includes historical maintenance records and historical replacement records. z represents the specific time when the historical data is obtained. Completing the recording of all components' historical maintenance records and historical replacement records helps to quickly analyze the service life of each group of components in the future;

[0024] The expression of the environmental data set is {WD, JS, FL, SG}. WD represents the environmental temperature within the ancient building area, JS represents the precipitation intensity within the ancient building area, FL represents the wind force level within the ancient building area, and SG represents the number of construction activities within the ancient building area. The ancient building brick masonry will expand or contract when the temperature changes drastically. Long-term temperature difference changes will cause material aging or cracking. Especially in areas with large day-night temperature differences, temperature fluctuations will intensify physical stress. When there is too much precipitation, rainwater is likely to seep in, causing wall leakage and affecting the long-term safety of the ancient building structure framework. Strong winds will cause wear to the external structure of the ancient building and are prone to erosion, thus weakening the durability of the ancient building brick masonry. Construction activities within the ancient building area will not only cause changes in the groundwater level, but construction vibrations will also affect the foundation of the ancient building, exacerbating geological subsidence;

[0025] Step 2: According to the historical dataset, analyze the usage cycle Syz of each group of components, judge the stability level of the components, and then combine with the building dataset to establish the ancient building model GM at the current time point;

[0026] The calculation process of the usage cycle Syz is as follows:

[0027] According to the historical dataset, count the historical maintenance records and historical replacement records related to the i-th group of components;

[0028] If there are no historical maintenance records and historical replacement records related to the i-th group of components in the historical dataset,

[0029] Syz i = DQ - AZ i

[0030] In the formula, DQ represents the current time point, and AZ i represents the time point when the i-th group of components was installed in the ancient building. DQ - AZ i represents the difference between the current time point and the installation time point, which is the usage cycle of the i-th group of components;

[0031] If there is only one historical maintenance record and historical replacement record related to the i-th group of components in the historical dataset,

[0032] Syz i = GH i - AZ i

[0033] In the formula, GH i represents the time point when the i-th group of components was historically replaced. GH i - AZ i represents the difference between the historical replacement time point and the installation time point, which is the usage cycle of the i-th group of components;

[0034] If there are multiple historical maintenance records and historical replacement records related to the i-th group of components in the historical dataset,

[0035]

[0036] In the formula, GH a represents the time point when the i-th group of components was replaced for the a-th time in the historical dataset. GH a+1 represents the time point when the i-th group of components was replaced for the (a + 1)-th time in the historical dataset. b represents the total number of times the i-th group of components was replaced in the historical dataset. GH b represents the time point when the i-th group of components was replaced for the b-th time in the historical dataset. DQ - GH b represents the difference between the current time point and the b-th replacement time point, It represents the average usage duration after each replacement, which is the usage cycle of the i-th group of components. The usage cycle Syz helps to accurately judge the stability level of each component subsequently, improving the scientific nature of ancient building maintenance;

[0037] A periodic threshold ZY with a fixed range is set, and then the usage cycle Syz of each group of components is compared with the periodic threshold ZY to judge the stability level of the components;

[0038] If the usage cycle Syz of a single group of components is included in the periodic threshold ZY, and there are no historical maintenance records and historical replacement records related to this group of components in the historical dataset, the stability level of this group of components is classified as stability level one;

[0039] If the usage cycle Syz of a single group of components is lower than the periodic threshold ZY, but there are no historical maintenance records and historical replacement records related to this group of components in the historical dataset, the stability level of this group of components is classified as stability level two;

[0040] If there are historical maintenance records and historical replacement records related to the components in the historical dataset, the stability level of this group of components is classified as stability level three;

[0041] Stability level one is superior to stability level two, and stability level two is superior to stability level three;

[0042] Through 3D modeling software, according to the detection data of each group of components in the building dataset, an ancient building model GM at the current time point is established 1:1, and the components with different stability levels are marked in the ancient building model GM. The components with stability level one are marked blue, the components with stability level two are marked yellow, and the components with stability level three are marked red, making the location and level of the problem components visually visible, which helps the management personnel to make effective repair decisions;

[0043] Step three: According to the ancient building model GM at the current time point and the environmental dataset, analyze the average change amounts of the area size, surface strength, and inclination angle of each group of components, simulate the evolution coefficient Yxs corresponding to the environmental factors, and establish the corresponding reduction model HYM and evolution model YHM;

[0044] The establishment process of the reduction model HYM is as follows:

[0045] S11. According to the building dataset, extract the detection data of the k-th group of components, and mark the area size of the k-th group of components as Mark the surface strength of the k-th group of components as Mark the inclination angle of the k-th group of components as d represents the specific time when the detection data of each group of components is obtained. Among them, the stability level of the k-th group of components is stability level one;

[0046] S12. Calculate the average change in the area size of the k-th group of components. Average change in surface strength And average change in tilt angle Their calculation formulas are as follows:

[0047]

[0048] In the formula, represents the area size of the k-th group of components at time d, represents the area size of the k-th group of components at time d + 1, represents the change in the area size of the k-th group of components during the two detections, and JCS represents the total number of detections of the k-th group of components;

[0049]

[0050] In the formula, represents the surface strength of the k-th group of components at time d, represents the surface strength of the k-th group of components at time d + 1, represents the change in the surface strength of the k-th group of components during the two detections;

[0051]

[0052] In the formula, represents the tilt angle of the k-th group of components at time d, represents the tilt angle of the k-th group of components at time d + 1, represents the change in the tilt angle of the k-th group of components during the two detections;

[0053] S13. According to the service life Syz of the k-th group of components k , use 3D modeling software to build a reduction model HYM of the installation of the k-th group of components in accordance with and 1:1, providing a quantitative index for component degradation analysis, supporting the accurate reduction of subsequent models, and providing higher research value;

[0054] The establishment process of the evolution model YHM is as follows:

[0055] S21. Set a simulation period MZ of a fixed duration. Then, in combination with the environmental data set, mark the environmental temperatures within the ancient building area during the simulation period MZ as {w1, w2, w3, ..., wu}, where w1 to wu are the environmental temperatures at the first time point to the u-th time point respectively. Mark the precipitation intensities within the ancient building area during the simulation period MZ as {j1, j2, j3, ..., ju}, where j1 to ju are the precipitation intensities at the first time point to the u-th time point respectively. Mark the wind force levels within the ancient building area during the simulation period MZ as {f1, f2, f3, ..., fu}, where f1 to fu are the wind force levels at the first time point to the u-th time point respectively. Mark the number of construction times within the ancient building area during the simulation period MZ as sc;

[0056] S22. Calculate the evolution coefficient Yxs within the simulation period MZ. Its calculation formula is as follows:

[0057] Yxs = α 1 ×(w max - w min ) + α 2 ×(j max - j min ) + α 3 ×(f max - f min ) + α 4 ×sc

[0058] In the formula, w max and w min are respectively the maximum and minimum values of the environmental temperatures within the ancient building area during the simulation period MZ. α 1 represents the evaluation weight for the temperature range. j max and j min are respectively the maximum and minimum values of the precipitation intensities within the ancient building area during the simulation period MZ. α 2 represents the evaluation weight for the precipitation intensity range. f max and f min are respectively the maximum and minimum values of the wind force levels within the ancient building area during the simulation period MZ. α 3 represents the evaluation weight for the wind force level range. α 4 represents the evaluation weight for the number of construction times. α 1 + α 2 + α 3 + α 4 = 1, α 1 ×(w max - w min ) + α 2 ×(j max - j min ) + α 3 ×(fmax -f min ) + α 4 ×sc represents according to α 1 、α 2 、α 3 and α 4 weights, calculate the evolution coefficient within the simulation period MZ;

[0059] S23. According to the evolution coefficient Yxs within the simulation period MZ, use 3D modeling software to establish a 1:1 evolution model YHM within the simulation period GZ. Integrate environmental data, calculate the multiple impacts of temperature, precipitation, wind force, and construction on ancient buildings, provide a basis for predicting future building change trends, have greater reference value, and efficiently protect ancient buildings.

[0060] Please refer to Figure 2 , a three-dimensional simulation system for ancient building brick masonry, including a multi-dimensional acquisition module and an intelligent analysis module;

[0061] The multi-dimensional acquisition module consists of a building data unit, a historical data unit, and an environmental data unit. The building data unit collects a building data set through a network-connected detection device. The building data set includes the detection data of all components in the ancient building structure framework. The historical data unit collects a historical data set through a network-connected database. The historical data set includes the historical data of all time points within the ancient building area. The environmental data unit collects an environmental data set through a network-connected big data platform. The environmental data set includes the environmental data of all time points within the ancient building area;

[0062] The intelligent analysis module consists of a structural analysis unit and a simulation modeling unit. The structural analysis unit analyzes the service life Syz of each group of components according to the historical data set and judges the stability level of the components. The simulation modeling unit establishes an ancient building model GM at the current time point according to the building data set and marks the components with different stability levels in the ancient building model GM. The overall analysis has high modeling accuracy. The simulation modeling unit analyzes the average change amount of the area size, surface strength, and inclination angle of each group of components according to the ancient building model GM at the current time point and the environmental data set, simulates the evolution coefficient Yxs corresponding to environmental factors, and establishes a corresponding reduction model HYM and evolution model YHM, with high intelligent prediction and protection efficiency.

[0063] Example 1: In this experiment, a tower-shaped ancient building built in 1977 was selected as the experimental object. After statistics, there was only one historical maintenance record and historical replacement record for the brick masonry on the first floor of this ancient building in 2020, and there were no historical maintenance records and historical replacement records for the brick masonry on the top floor of this ancient building;

[0064] The calculation formula for the service life Syz of the brick masonry on the first floor of this ancient building is as follows:

[0065] Syz i = GH i - AZ i = 2020 - 1977 = 43

[0066] In the formula, 2020 represents the time point of the historical replacement of a layer of brick masonry. 2020 - 1977 represents the difference between the historical replacement time point and the installation time point. The service life of the first - layer brick masonry of this ancient building is 43 years, and the stability level is classified as stability level three;

[0067] The calculation formula for the service life Syz of the top - layer brick masonry of this ancient building is as follows:

[0068] Syz i = DQ - AZ i = 2024 - 1977 = 47

[0069] In the formula, 2024 represents the current year, 1977 represents the year when the top - layer brick masonry of the ancient building was installed. 2024 - 1977 represents the difference between the current time point and the installation time point. The service life of the top - layer brick masonry of this ancient building is 47 years, and the stability level is classified as stability level one.

[0070] Example 2: In this experiment, the ancient city wall was selected as the experimental object. After three detections, in 2022, the area size of the ancient city wall was 2500 square meters, the surface strength was 2.5 MPa, and the inclination angle was 10°. In 2023, the area size of the ancient city wall was 2480 square meters, the surface strength was 2.3 MPa, and the inclination angle was 12°. In 2023, the area size of the ancient city wall was 2460 square meters, the surface strength was 2.1 MPa, and the inclination angle was 14°. The average change in the area size of this ancient city wall The average change in surface strength and the average change in inclination angle The calculation formula is as follows:

[0071]

[0072] In the formula, 20 represents the change in the area size of the ancient city wall during each two - detection period. 0.2 represents the change in the surface strength of the ancient city wall during each two - detection period. - 2 represents the change in the inclination angle of the ancient city wall during each two - detection period.

[0073] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A three-dimensional simulation method for ancient building brickwork, characterized in that: The following steps are involved: Step 1: Connect the detection device, database and big data platform through the network to obtain the detection data of all components in the ancient building structure frame, the historical data and environmental data of all time points in the ancient building area, and classify them into building data set, historical data set and environmental data set; Step 2: Analyze the service life Syz of each group of components based on the historical data set, determine the stability level of the components, and then combine it with the building data set to establish the ancient building model GM at the current time point; Step 3: According to the ancient building model GM and environmental data set at the current time point, analyze the average change in the area size, surface strength and inclination angle of each group of components, simulate the evolution coefficient Yxs corresponding to the environmental factors, and establish the corresponding restoration model HYM and evolution model YHM.

2. The three-dimensional simulation method of ancient building brickwork according to claim 1, characterized in that: In step 1, the expression of the building dataset is {G1 d , G2 d , G3 d , ..., Gn d }, G1 d To Gn d They are the detection data of the first to nth groups of components, respectively. The detection data include area size, surface strength and tilt angle. d represents the specific time for obtaining the detection data of each group of components.

3. The three-dimensional simulation method of ancient building brickwork according to claim 2, characterized in that: In step 1, the expression of the historical data set is {L1 z 、L2 z 、L3 z , ..., Ls z }, L1 z To Ls z They are the historical data from the first time point to the sth time point respectively. The historical data includes historical maintenance records and historical replacement records. z represents the specific time of obtaining the historical data.

4. The three-dimensional simulation method of ancient building brickwork according to claim 3 is characterized in that: In the step 1, the expression of the environmental data set is {WD, JS, FL, SG}, where WD represents the ambient temperature in the ancient building area, JS represents the precipitation intensity in the ancient building area, FL represents the wind force level in the ancient building area, and SG represents the number of constructions in the ancient building area.

5. The three-dimensional simulation method of ancient building brickwork according to claim 4, characterized in that: In step 2, the calculation process of using the period Syz is as follows: According to the historical data set, historical maintenance records and historical replacement records related to the i-th group of components are counted; If there are no historical maintenance records and historical replacement records related to the i-th group of components in the historical data set; If there is only one historical maintenance record and historical replacement record related to the i-th group of components in the historical data set; If there are multiple historical maintenance records and historical replacement records related to the i-th group of components in the historical data set.

6. The three-dimensional simulation method of ancient building brickwork according to claim 5, characterized in that: In the step 2, a fixed range of cycle threshold ZY is set, and then the service cycle Syz of each group of components is compared with the cycle threshold ZY to determine the stability level of the components; If the service life Syz of a single group of components is included in the period threshold ZY, and there is no historical maintenance record or historical replacement record related to the group of components in the historical data set, the stability level of the group of components is classified as stability level 1; If the service life Syz of a single group of components is lower than the cycle threshold ZY, but there are no historical maintenance records and historical replacement records related to the group of components in the historical data set, the stability level of the group of components is classified as stability level 2; If there are historical maintenance records and historical replacement records related to components in the historical data set, the stability level of this group of components is classified as stability level three; Stability level 1 is better than stability level 2, and stability level 2 is better than stability level 3.

7. The three-dimensional simulation method of ancient building brickwork according to claim 6, characterized in that: In the step 2, a 1:1 ancient building model GM at the current time point is established through 3D modeling software according to the detection data of each group of components in the building data set, and components of different stability levels are marked in the ancient building model GM, with components of stability level one being marked in blue, components of stability level two being marked in yellow, and components of stability level three being marked in red.

8. The three-dimensional simulation method of ancient building brickwork according to claim 7, characterized in that: In step 3, the restoration model HYM establishment process is as follows: S11. Extract the inspection data of the kth group of components according to the building data set, and mark the area size of the kth group of components as The surface strength of the kth group of components is marked as The inclination angle of the kth group of components is marked as d represents the specific time of obtaining the test data of each group of components, where the stability level of the k-th group of components is stability level 1; S12. Calculate the average change in the area size of the kth group of components Average change in surface intensity and the average change in tilt angle S13, according to the service life Syz of the kth group of components k , using 3D modeling software, according to and A 1:1 restoration model HYM is established when the kth group of components is installed.

9. The three-dimensional simulation method of ancient building brickwork according to claim 8, characterized in that: In step 3, the process of establishing the evolution model YHM is as follows: S21. Set a simulation period MZ of fixed duration, and then combine the environmental data set to mark the ambient temperature in the ancient building area within the simulation period MZ as {w1, w2, w3, ..., wu}, where w1 to wu are the ambient temperatures from the first time point to the u-th time point, respectively; mark the precipitation intensity in the ancient building area within the simulation period MZ as {j1, j2, j3, ..., ju}, where j1 to ju are the precipitation intensity from the first time point to the u-th time point, respectively; mark the wind force level in the ancient building area within the simulation period MZ as {f1, f2, f3, ..., fu}, where f1 to fu are the wind force levels from the first time point to the u-th time point, respectively; and mark the number of constructions in the ancient building area within the simulation period MZ as sc; S22, calculate the evolution coefficient Yxs within the simulation period MZ; S23. According to the evolution coefficient Yxs within the simulation period MZ, a 1:1 evolution model YHM within the simulation period MZ is established using 3D modeling software.

10. A three-dimensional simulation system for ancient building brickwork, applied to a three-dimensional simulation method for ancient building brickwork as claimed in any one of claims 1 to 9, characterized in that: Including multi-dimensional acquisition module and intelligent analysis module; The multi-dimensional acquisition module is composed of a building data unit, a historical data unit and an environmental data unit. The building data unit collects a building data set through a network connection detection device, and the building data set includes the detection data of all components in the ancient building structure frame. The historical data unit collects a historical data set through a network connection database, and the historical data set includes the historical data of all time points in the ancient building area. The environmental data unit collects an environmental data set through a network connection big data platform, and the environmental data set includes the environmental data of all time points in the ancient building area. The intelligent analysis module is composed of a structural analysis unit and a simulation modeling unit. The structural analysis unit analyzes the service life Syz of each group of components based on the historical data set and determines the stability level of the components. The simulation modeling unit establishes the ancient building model GM at the current time point based on the building data set, and marks components with different stability levels in the ancient building model GM. The simulation modeling unit analyzes the average change in area size, surface strength and inclination angle of each group of components based on the ancient building model GM and the environmental data set at the current time point, simulates the evolution coefficient Yxs corresponding to the environmental factors, and establishes the corresponding restoration model HYM and evolution model YHM.

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