Method and system for intelligently detecting and predicting deformation of urban and rural buildings

Abstract

The invention relates to the technical field of building data processing, and particularly discloses an urban and rural building deformation intelligent detection and prediction method and system, and the method comprises the steps: collecting the structure data, environment data and cumulative service life of urban and rural buildings, and the deformation data of each key monitoring point; processing the deformation data to obtain a building deformation degree evaluation parameter, processing the structure data to obtain a building structure stability coefficient, processing the environment data to obtain an environment interference value, and performing comprehensive analysis to obtain a building safety evaluation value; and deformation monitoring and early warning are carried out on urban and rural buildings. According to the urban and rural building deformation intelligent detection and prediction method and system provided by the invention, the safety performance condition of the building can be intuitively reflected, a scientific basis is provided for taking corresponding repair, reinforcement or reconstruction measures according to the evaluation value, and the building with a relatively high evaluation value can be obtained through evaluation, so that the safety performance of the building is improved. And the living satisfaction of residents can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building data processing, and in particular to a method and system for intelligent detection and prediction of deformation of urban and rural buildings. Background Art

[0002] At present, intelligent detection of deformation of urban and rural buildings is a very important part of the urbanization process. With the development of sensor technology, wireless communication technology, big data processing technology and artificial intelligence algorithms, providing more advanced and reliable intelligent detection methods for deformation of urban and rural buildings has become the norm. High-quality and efficient intelligent detection and prediction methods for deformation of urban and rural buildings are of great significance to improving the accuracy and efficiency of detection.

[0003] For example, the invention patent with announcement number CN113158293B is a method and device for evaluating the safety performance of a building. The method includes: monitoring multiple preset positions of a building to obtain deformation data of the multiple preset positions; establishing a finite element model for simulating the building according to the construction drawings of the building at the multiple preset positions; inputting the deformation data of the multiple preset positions and building parameters into the finite element model, outputting the building status information, restoring the current degradation state of the building in the finite element model according to the expansion rate in the building parameters, and using on-site sampling of the building to detect the accuracy of the finite element model; and evaluating the safety performance of the building according to the building status information.

[0004] For example, the invention patent with announcement number CN116432275B is a building protection method for coordinated control of surface subsidence and extreme deformation of buildings, including: analyzing the extreme deformation value of the building according to the original anti-mining capacity of the building and the level of mining damage to the surface; determining the first movement deformation value of the surface in combination with the original relationship equation between the movement deformation of the surface and the building; determining the density of filling and management of the goaf and the anti-mining capacity of the anti-deformation building according to the first cost curve and the second cost curve, so that the corresponding surface movement deformation and the sum of the two are greater than or equal to the first movement deformation value and the total cost of the corresponding measures is the lowest; filling and management of the goaf are carried out according to the two corresponding measures, and anti-deformation design and anti-deformation reinforcement treatment are carried out on the ground buildings.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it was found that the above-mentioned technology has at least the following technical problems: currently, the intelligent detection of deformation of urban and rural buildings pays more attention to the automation and intelligence of the monitoring process, but the monitoring of deformation of urban and rural buildings is not comprehensive enough, and the accuracy and efficiency of the intelligent detection of deformation of urban and rural buildings cannot be fully guaranteed. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a method and system for intelligent detection and prediction of deformation of urban and rural buildings, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides an intelligent detection and prediction method for deformation of urban and rural buildings, including: counting several key parts of urban and rural buildings, marking them as key monitoring points, and collecting structural data, environmental data, cumulative service life and deformation data of each key monitoring point of urban and rural buildings.

[0008] The deformation data of each key monitoring point is processed to obtain the building deformation degree assessment parameters, the structural data of urban and rural buildings is processed to obtain the building structural stability coefficient, and the environmental data of urban and rural buildings is processed to obtain the environmental interference value. According to the cumulative service life of urban and rural buildings, the building structural stability coefficient and the environmental interference value, a comprehensive analysis is performed to obtain the building safety assessment value.

[0009] Based on the building deformation degree assessment parameters and building safety assessment values, deformation monitoring and early warning are carried out for urban and rural buildings.

[0010] As a further method, the deformation data of each key monitoring point is processed to obtain building deformation degree assessment parameters, and the specific processing process is: the deformation data includes stress, vibration frequency and displacement of each key monitoring point.

[0011] Critical stress, critical vibration frequency and critical displacement are extracted from the urban and rural building database, and comprehensive analysis is performed to obtain building deformation assessment parameters.

[0012] As a further method, the structural data of urban and rural buildings are processed to obtain the building structural stability coefficient. The specific analysis process is: the structural data includes the building rigidity-to-weight ratio, the number of cracks on the building surface and the length of each crack.

[0013] The critical building stiffness-to-weight ratio, critical number of building surface cracks and critical crack length were extracted from the urban and rural building database, and the building structural stability coefficient was obtained through comprehensive analysis.

[0014] As a further method, the environmental data of urban and rural buildings are processed to obtain environmental interference values, and the specific analysis process is as follows: the environmental data includes temperature, wind force and groundwater level.

[0015] The allowable deviation temperature, allowable deviation groundwater level and critical wind force are extracted from the urban and rural building database, and the environmental interference value is obtained through comprehensive analysis.

[0016] As a further method, the comprehensive analysis obtains the building safety assessment value, and the specific analysis process is: extracting the critical service life from the urban and rural building database.

[0017] Based on the cumulative service life of urban and rural buildings, the building structural stability coefficient and the environmental interference value, a comprehensive analysis is conducted to obtain the building safety assessment value.

[0018] As a further method, the deformation monitoring and early warning of urban and rural buildings is specifically carried out as follows: extracting the building deformation degree assessment parameter threshold and the building safety assessment threshold from the urban and rural building database, comparing the building deformation degree assessment parameter and the building safety assessment value with the building deformation degree assessment threshold and the building safety assessment threshold respectively; if the building deformation degree assessment parameter is greater than or equal to the building deformation degree assessment threshold, or the building safety assessment value is less than the building safety assessment threshold, then an early warning operation is performed; if the building deformation degree assessment parameter is less than the building deformation degree assessment threshold, and the building safety assessment value is greater than or equal to the building safety assessment threshold, then no early warning operation is performed.

[0019] As a further method, the intelligent detection and prediction method for deformation of urban and rural buildings is characterized in that the building deformation degree assessment parameter is a quantitative index obtained by analyzing the stress, vibration frequency and displacement of each key monitoring point of urban and rural buildings, and is used to quantify the deformation degree of the building.

[0020] As a further method, the building deformation degree evaluation parameter has a specific numerical expression as follows: in, Represents the building deformation evaluation parameter, represents the stress of the jth key monitoring point, represents the set critical stress, represents the vibration frequency of the jth key monitoring point, Indicates the set critical vibration frequency, represents the displacement of the jth key monitoring point, represents the set critical displacement, Indicates the impact factor of building deformation assessment corresponding to the set stress, It represents the impact factor of building deformation assessment corresponding to the set vibration frequency. It represents the impact factor of building deformation assessment corresponding to the set displacement, j represents the number of each key monitoring point, j=1,2,3,...,n, and n represents the total number of key monitoring points.

[0021] As a further method, the building safety assessment value is a quantitative index obtained by analyzing the cumulative service life, the building structure stability coefficient and the environmental interference value, and is used to quantify the safety performance of the building.

[0022] The second aspect of the present invention provides an intelligent detection and prediction system for deformation of urban and rural buildings, including: an urban and rural building data acquisition module, which is used to count several key parts of urban and rural buildings, mark them as key monitoring points, and collect structural data, environmental data, cumulative service life and deformation data of each key monitoring point of urban and rural buildings.

[0023] The building deformation degree and safety assessment module is used to process the deformation data of each key monitoring point to obtain the building deformation degree assessment parameters, process the structural data of urban and rural buildings to obtain the building structural stability coefficient, and process the environmental data of urban and rural buildings to obtain the environmental interference value. According to the cumulative service life of urban and rural buildings, the building structural stability coefficient and the environmental interference value, a comprehensive analysis is performed to obtain the building safety assessment value.

[0024] The urban and rural building deformation early warning module is used to monitor and warn of deformation of urban and rural buildings based on building deformation degree assessment parameters and building safety assessment values.

[0025] The urban and rural building database is used to store relevant data of urban and rural buildings, including critical stress, critical vibration frequency, critical displacement, building structural stability assessment influencing factors corresponding to the building stiffness-to-weight ratio, building structural stability assessment influencing factors corresponding to the number of cracks on the building surface, building structural stability assessment influencing factors corresponding to the crack length, allowable deviation ambient temperature, allowable deviation groundwater level, critical wind force, building safety assessment influencing factors corresponding to the cumulative service life, building safety assessment influencing factors corresponding to the building structural stability coefficient, building safety assessment influencing factors corresponding to the environmental interference value, building deformation degree assessment threshold and building safety assessment threshold.

[0026] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides an intelligent detection and prediction method and system for deformation of urban and rural buildings, which can intuitively reflect the safety performance status of buildings, timely discover the safety hazards of buildings, and provide a scientific basis for taking corresponding repair, reinforcement or renovation measures. By timely eliminating safety hazards, the risk of building collapse can be effectively reduced and the lives of residents can be protected.

[0027] (2) The present invention evaluates the deformation degree of the building by conducting a comprehensive analysis of the stress, vibration frequency and displacement of key parts of the building, which can more accurately determine the deformation and stability of the building. It can also guide the daily maintenance plan of the building to reduce the risk of future safety accidents. At the same time, it can verify the rationality and safety of the building design. By regularly evaluating the deformation degree of the building, potential problems can be discovered and dealt with in a timely manner, thereby avoiding the expansion of the problem and leading to more serious consequences, which helps to extend the service life of the building.

[0028] (3) By evaluating the environmental interference value, the present invention helps to fully understand the environmental conditions of buildings, improve the comfort and safety of buildings, formulate strategies to adapt to climate change, improve the adaptability of buildings, and ensure the stability and safety of buildings in extreme temperature conditions, extreme groundwater levels and strong winds. At the same time, it can more accurately evaluate the adaptability and sustainability of buildings in the natural environment, providing strong support for the sustainable development of urban and rural construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0030] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0031] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0032] Figure 3 It is a schematic diagram of the functional relationship between the building safety assessment value and the building structure stability coefficient of the present invention. DETAILED DESCRIPTION

[0033] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0034] Reference Figure 1 As shown, the first aspect of the present invention provides an intelligent detection and prediction method for deformation of urban and rural buildings, including: counting several key parts of urban and rural buildings, marking them as key monitoring points, and collecting structural data, environmental data, cumulative service life and deformation data of each key monitoring point of urban and rural buildings.

[0035] The deformation data of each key monitoring point is processed to obtain the building deformation degree assessment parameters, the structural data of urban and rural buildings is processed to obtain the building structural stability coefficient, and the environmental data of urban and rural buildings is processed to obtain the environmental interference value. According to the cumulative service life of urban and rural buildings, the building structural stability coefficient and the environmental interference value, a comprehensive analysis is performed to obtain the building safety assessment value.

[0036] Based on the building deformation degree assessment parameters and building safety assessment values, deformation monitoring and early warning are carried out for urban and rural buildings.

[0037] Specifically, the deformation data of each key monitoring point is processed to obtain the building deformation degree assessment parameter, and the specific processing process is: the deformation data includes the stress, vibration frequency and displacement of each key monitoring point.

[0038] Critical stress, critical vibration frequency and critical displacement are extracted from the urban and rural building database, and comprehensive analysis is performed to obtain building deformation assessment parameters.

[0039] It needs to be explained that in this embodiment, stress is an important indicator for evaluating whether the structure can withstand external loads and internal forces. By monitoring stress, we can understand the stress conditions of the structure under specific working conditions and evaluate whether it meets the strength requirements. At the same time, stress concentration is a common cause of structural damage. Monitoring stress can help to timely discover and identify stress concentration areas, and provide a basis for taking measures to strengthen or adjust the structure. The stress of each key monitoring point can be obtained by a stress gauge. The vibration frequency is one of the important parameters of the structural dynamic characteristics. By monitoring the vibration frequency, we can understand the response characteristics of the structure under dynamic loads and evaluate whether it meets the dynamic stability requirements. Structural damage often leads to changes in vibration frequency. By monitoring the changes in vibration frequency, we can timely discover and identify the location and degree of damage in the structure, and provide a basis for maintenance and reinforcement. In some working conditions, the structure may resonate with external excitations, causing serious damage. By monitoring By measuring the vibration frequency and predicting possible resonance situations, corresponding measures can be taken to avoid the occurrence of resonance. The vibration frequency of each key monitoring point can be obtained through the accelerometer. Displacement refers to the distance deviation between the initial position and the actual position of each key monitoring point of the building. Displacement is a direct reflection of structural deformation. By monitoring the displacement, the deformation of the structure under load can be understood, and whether it meets the deformation limit requirements can be evaluated. In addition, structural instability is often accompanied by significant changes in displacement. By monitoring the displacement, the stability of the structure can be discovered and evaluated in time, providing a basis for taking stabilization measures. In addition, displacement monitoring can help control construction quality and ensure operational safety. For example, in the construction of high-rise buildings, the construction plan can be adjusted in time by monitoring the displacement to avoid structural tilt or collapse. The displacement of each key monitoring point can be obtained through a displacement meter.

[0040] Furthermore, the building deformation evaluation parameter has the following specific numerical expression: in, Represents the building deformation evaluation parameter, represents the stress of the jth key monitoring point, represents the set critical stress, represents the vibration frequency of the jth key monitoring point, Indicates the set critical vibration frequency, represents the displacement of the jth key monitoring point, represents the set critical displacement, Indicates the impact factor of building deformation assessment corresponding to the set stress, It represents the impact factor of building deformation assessment corresponding to the set vibration frequency. It represents the impact factor of building deformation assessment corresponding to the set displacement, j represents the number of each key monitoring point, j=1,2,3,...,n, and n represents the total number of key monitoring points.

[0041] The algorithm of this embodiment combines the stress, vibration frequency and displacement of each key monitoring point, and comprehensively analyzes the dependent variable. When the building is subjected to external loads or internal stress, its structure will deform, that is, displacement will occur. This displacement will cause the redistribution of stress inside the structure. If the stress exceeds the bearing capacity of the material, it may cause structural damage. Therefore, monitoring displacement can indirectly reflect the stress state inside the structure, which helps to timely discover and deal with potential safety hazards; and when the building is subjected to dynamic loads, its structure will vibrate, and the vibration frequency is related to parameters such as the stiffness, mass and damping of the structure, and the stiffness of the structure is closely related to the stress state of the material. Therefore, the vibration frequency can reflect the stress state of the structure under the action of dynamic loads, and can also identify the stress concentration area in the structure, and then evaluate the safety performance of the structure; and there is a certain mutual influence relationship between the vibration frequency and the displacement. On the one hand, the change of the vibration frequency will affect the dynamic displacement response of the structure, and on the other hand, the displacement change of the structure will in turn affect the distribution and size of the vibration frequency. Comprehensive analysis can obtain more comprehensive, more accurate and more in-depth evaluation parameters of the degree of deformation of the building.

[0042] It should be explained that three key factors are taken into account in this embodiment, namely, stress, vibration frequency and displacement of each key monitoring point, which helps to fully understand the structural state and promptly discover and identify abnormal changes in the structure, such as stress concentration, abnormal vibration or excessive displacement, so as to prevent potential safety accidents. It can also further improve the monitoring accuracy and reliability, verify the rationality and safety of the structural design, and provide a basis for optimizing the design. The degree of damage and stability of the structure can be quickly assessed. For example, for areas with stress concentration or excessively high vibration frequency, monitoring and maintenance efforts can be strengthened to prevent structural damage and destruction. It can also provide timely and accurate information support for emergency response, and at the same time help provide important references for the formulation and implementation of repair plans to ensure that the repaired structure meets safety requirements. By standardizing the stress, vibration frequency and displacement of each key monitoring point and ensuring that they are compared at the same magnitude, the fairness and comparability of the evaluation are improved, and at the same time , and The setting can reveal which key monitoring points have obvious deviations in their data, which is crucial for developing targeted maintenance plans and strategies. By weighting the influence of stress, vibration frequency and displacement of each key monitoring point, it reflects their relative importance in the evaluation index. The weights of different factors can be adjusted according to different needs, making the model highly adaptable. It is not difficult to see that the greater the stress, vibration frequency or displacement of each key monitoring point, the greater the building deformation assessment parameter. By evaluating the building deformation assessment parameters, the deformation and stability of the building can be judged more accurately, and the daily maintenance plan of the building can also be guided. For parts or areas prone to deformation, monitoring and maintenance efforts can be strengthened to reduce the risk of future safety accidents. At the same time, the rationality and safety of the building design can be verified. If the actual deformation is significantly different from the design expectation, the design plan may need to be re-evaluated and adjusted. By regularly evaluating the deformation of the building, potential problems can be discovered and dealt with in a timely manner, thereby avoiding the expansion of the problem and leading to more serious consequences, which helps to extend the service life of the building.

[0043] It should be understood that in this embodiment It is a building deformation degree assessment influence factor corresponding to the stress preset in the urban and rural building database, which represents the numerical value of the influence degree of stress on the building deformation degree assessment parameter. When used, the building deformation degree assessment influence factor corresponding to the stress can be directly obtained from the urban and rural building database, and the corresponding relationship can be a preset mapping relationship. For example, the stress of each key monitoring point of the urban and rural building and the building deformation degree assessment influence factor corresponding to the stress preset in the urban and rural building database form a mapping set, and the real-time stress is input into the mapping set to obtain the building deformation degree assessment influence factor corresponding to the stress. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is between 0 and 1; It is a building deformation degree assessment influence factor corresponding to the vibration frequency preset in the urban and rural building database, which represents the numerical value of the influence degree of the vibration frequency on the building deformation degree assessment parameter. When used, the building deformation degree assessment influence factor corresponding to the vibration frequency can be directly obtained from the urban and rural building database, and the corresponding relationship can be a preset mapping relationship. For example, the vibration frequency of each key monitoring point of the urban and rural building and the building deformation degree assessment influence factor corresponding to the vibration frequency preset in the urban and rural building database form a mapping set, and the real-time vibration frequency is input into the mapping set to obtain the building deformation degree assessment influence factor corresponding to the vibration frequency. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is between 0 and 1; It is a building deformation degree assessment influence factor corresponding to the displacement preset in the urban and rural building database, which represents the numerical value of the influence degree of displacement on the building deformation degree assessment parameter. When used, the building deformation degree assessment influence factor corresponding to the displacement can be directly obtained from the urban and rural building database, and the corresponding relationship can be a preset mapping relationship. For example, the displacement of each key monitoring point of the urban and rural building and the building deformation degree assessment influence factor corresponding to the displacement preset in the urban and rural building database form a mapping set, and the real-time displacement is input into the mapping set to obtain the building deformation degree assessment influence factor corresponding to the displacement. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is between 0 and 1.

[0044] In a specific embodiment, the building deformation degree assessment parameter is a quantitative index obtained by analyzing the stress, vibration frequency and displacement of key monitoring points of urban and rural buildings, and is used to quantify the deformation degree of the building.

[0045] Specifically, the structural data of urban and rural buildings are processed to obtain the structural stability coefficient of the building. The specific analysis process is as follows: the structural data includes the rigidity-to-weight ratio of the building, the number of cracks on the building surface, and the length of each crack.

[0046] The critical building stiffness-to-weight ratio, critical number of building surface cracks and critical crack length were extracted from the urban and rural building database, and the building structural stability coefficient was obtained through comprehensive analysis.

[0047] It should be explained that the building stiffness-to-weight ratio in this embodiment refers to the ratio of the building stiffness to the building's own weight. The surface hardness and compressive strength of the building can be monitored using a hardness tester and a compression testing machine. The surface hardness and compressive strength of the building are respectively ratioed to the reference surface hardness and the reference compressive strength, and the ratio results are summed up and marked as the building stiffness. The building's own weight can be obtained from the urban and rural building database. The stiffness-to-weight ratio is an important indicator for evaluating the stability of the structure and the ability to resist deformation. A higher stiffness-to-weight ratio means that the structure can maintain better stability when subjected to external loads, reducing the risk of structural damage due to excessive deformation. By considering the stiffness In terms of weight ratio, designers can reasonably adjust the cross-sectional size, material strength and other parameters of components in structural design to optimize the stiffness and weight ratio of the structure and improve the overall performance of the structure. Cracks are one of the important signs of structural performance degradation. By counting the number of cracks on the surface of the building, potential problems in the structure can be discovered in time, such as cracks caused by concrete shrinkage, temperature changes, etc., so as to take necessary measures to repair or reinforce it. The length of the crack is one of the important indicators for assessing the severity of the crack. Longer cracks may mean that there are larger stress concentrations or damaged areas in the structure, which require more attention and timely treatment. The number of cracks on the surface of the building and the length of each crack can be obtained through ultrasonic testing.

[0048] Specifically, the building structure stability coefficient, the specific numerical expression is: in, represents the structural stability coefficient of the building, e represents the natural constant, represents the length of the kth crack, represents the critical crack length, Indicates the building's rigidity-to-weight ratio, represents the critical building stiffness-to-weight ratio, Indicates the number of cracks on the building surface. represents the number of critical building surface cracks, It represents the impact factor of building structure stability assessment corresponding to the set building rigidity-to-weight ratio. It represents the impact factor of building structure stability assessment corresponding to the set number of cracks on the building surface. It represents the building structure stability assessment influencing factor corresponding to the set crack length, k represents the crack number, k=1,2,3,...,c, c represents the total number of cracks.

[0049] In a specific embodiment, the algorithm of this embodiment combines the rigidity-to-weight ratio of the building, the number of cracks on the building surface and the length of each crack, and comprehensively analyzes to obtain the dependent variable. The rigidity-to-weight ratio of the building indirectly affects the generation and development of cracks by affecting the overall stability and bearing capacity of the structure. Specifically, when the rigidity-to-weight ratio of the structure is too small, it means that the rigidity of the structure is small relative to the gravity load. The structure is prone to deformation and displacement when subjected to external forces, which may lead to the generation and development of cracks. On the contrary, when the rigidity-to-weight ratio of the structure is appropriate, the structure can resist the action of external loads and maintain its stability and integrity, thereby reducing the generation of cracks. At the same time, the presence of cracks will reduce the overall performance of the structure, such as rigidity, bearing capacity, etc. The reduction of these performances may indirectly affect the rigidity-to-weight ratio of the structure. Comprehensive analysis can obtain a more comprehensive, accurate and in-depth building structural stability coefficient.

[0050] It should be explained that three key factors are taken into account in this embodiment, namely the building's rigidity-to-weight ratio, the number of cracks on the building's surface, and the length of each crack. This can ensure that the structure has sufficient rigidity to resist deformation when subjected to external loads, and prevent the structure from losing stability or bearing capacity due to excessive deformation. At the same time, controlling the number and length of cracks can reduce the accumulation of damage to the structure during long-term use, avoid structural damage caused by crack expansion, and thus improve the safety of the structure. It can also enable designers to consider various factors more comprehensively in structural design and adopt more refined design schemes to improve the structure's crack resistance and durability to achieve the optimization of structural performance. The improvement in structural performance also means that the building is more stable and safe during use, thereby improving the user's living or working experience. By standardizing the building's rigidity-to-weight ratio, the number of cracks on the building's surface, and the length of each crack, it is ensured that they are compared at the same magnitude, which improves the fairness and comparability of the evaluation, and at the same time , and The setting can reveal which parameter data has obvious deviations, which is crucial for developing targeted optimized structural designs. By weighting the influence of the building's rigidity-to-weight ratio, the number of cracks on the building's surface, and the length of each crack, their relative importance in the evaluation index can be reflected. The weights of different factors can be adjusted according to different needs, making the model highly adaptable. It is not difficult to see that the greater the building's rigidity-to-weight ratio, the smaller the number of cracks on the building's surface, or the smaller the length of each crack, the greater the building's structural stability coefficient. By evaluating the building's structural stability coefficient, potential safety hazards, such as structural deformation and crack expansion, can be discovered in a timely manner, so that necessary measures can be taken to repair or reinforce them, effectively preventing the occurrence of safety accidents. At the same time, construction quality problems discovered during the evaluation process can be promptly fed back to the construction unit, prompting it to improve its construction technology and management level, ensuring that the construction quality meets the design requirements, and by taking necessary maintenance measures, it can also delay the aging process of the building and extend its service life.

[0051] It should be understood that in this embodiment It is a building structure stability assessment influencing factor corresponding to the building rigidity-to-weight ratio preset in the urban and rural building database, which represents the numerical value of the influence degree of the building rigidity-to-weight ratio on the building structure stability coefficient. When used, the building structure stability assessment influencing factor corresponding to the building rigidity-to-weight ratio can be directly obtained from the urban and rural building database, and the corresponding relationship can be a preset mapping relationship. For example, the building rigidity-to-weight ratio and the building structure stability assessment influencing factor corresponding to the building rigidity-to-weight ratio preset in the urban and rural building database form a mapping set, and the real-time building rigidity-to-weight ratio is input into the mapping set to obtain the building structure stability assessment influencing factor corresponding to the building rigidity-to-weight ratio. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is between 0 and 1; It is a building structure stability assessment influence factor corresponding to the number of building surface cracks preset in the urban and rural building database, which represents the numerical value of the influence degree of the number of building surface cracks on the building structure stability coefficient. When used, the building structure stability assessment influence factor corresponding to the number of building surface cracks can be directly obtained from the urban and rural building database, and the corresponding relationship can be a preset mapping relationship. For example, the number of building surface cracks and the building structure stability assessment influence factor corresponding to the number of building surface cracks preset in the urban and rural building database form a mapping set, and the real-time number of building surface cracks is input into the mapping set to obtain the building structure stability assessment influence factor corresponding to the number of building surface cracks. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is between 0 and 1; It is a building structure stability assessment influencing factor corresponding to a crack length preset in an urban and rural building database, and represents a numerical value of the influence degree of the crack length on the building structure stability coefficient. When used, the building structure stability assessment influencing factor corresponding to the crack length can be directly obtained from the urban and rural building database, and the corresponding relationship can be a preset mapping relationship. For example, the crack length and the building structure stability assessment influencing factor corresponding to the crack length preset in the urban and rural building database form a mapping set, and the real-time crack length is input into the mapping set to obtain the building structure stability assessment influencing factor corresponding to the crack length. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, its value range is between 0 and 1.

[0052] It should be explained that the building structural stability coefficient in this embodiment is a quantitative index obtained by analyzing the building's rigidity-to-weight ratio, the number of cracks on the building surface and the length of each crack, and is used to quantify the structural stability performance of the building.

[0053] Specifically, the environmental data of urban and rural buildings are processed to obtain the environmental interference value, and the specific analysis process is as follows: the environmental data includes temperature, wind force and groundwater level.

[0054] The allowable deviation temperature, allowable deviation groundwater level and critical wind force are extracted from the urban and rural building database, and the environmental interference value is obtained through comprehensive analysis.

[0055] It needs to be explained that, in this embodiment, the change of ambient temperature can be monitored by a temperature sensor, the wind force can be monitored by an anemometer, and the change of groundwater level can be monitored by a water level detector; the change of ambient temperature will directly lead to thermal expansion and contraction of building materials. For steel structure buildings, the thermal expansion coefficient of steel is relatively large. When the ambient temperature rises, the steel will expand, which may cause changes in component size and stress concentration, thereby affecting the stability and bearing capacity of the structure. Conversely, in a low temperature environment, material shrinkage may also cause similar problems. By monitoring the groundwater level, protective measures can be taken in time to extend the service life of the building. By monitoring the wind force, the wind-resistant structure of the building can be reasonably designed to ensure the stability and safety of the building in strong wind weather.

[0056] in, represents the environmental interference value of urban and rural buildings, Indicates the ambient temperature, Indicates reference standard ambient temperature, Indicates the set allowable deviation ambient temperature, Represents the groundwater level, Indicates the reference standard groundwater level, Indicates the set allowable deviation of groundwater level, Indicates wind force, represents the critical wind force, Indicates the impact factor of the environmental interference value assessment corresponding to the set ambient temperature. Indicates the impact factor of the environmental disturbance value assessment corresponding to the set groundwater level, Indicates the impact factor of the environmental interference value assessment corresponding to the set wind force.

[0057] The algorithm of this embodiment combines ambient temperature, groundwater level and wind force, and comprehensively analyzes to obtain dependent variables. Ambient temperature and wind force affect each other. On the one hand, changes in ambient temperature will affect wind speed and wind direction. Ambient temperature is one of the important factors affecting air flow. When the temperature difference is large, the air will produce convection movement, thereby forming wind. Therefore, changes in ambient temperature are often accompanied by changes in wind speed. For example, in hot summer, uneven heating of the surface will lead to the formation of thermal low pressure in local areas, which will in turn trigger rising airflow and horizontal airflow to form wind; on the other hand, changes in wind force will also affect ambient temperature. For example, in coastal areas, the moist air brought by sea breeze can reduce the land temperature, while land breeze will increase the temperature in coastal areas at night; changes in ambient temperature will indirectly affect the flow speed and water level of groundwater. For example, in winter, the drop in surface temperature may cause the moisture in the soil to condense into ice, affecting the recharge and discharge of groundwater, and thus affecting the groundwater level; and wind force affects the recharge and discharge conditions of groundwater by affecting surface vegetation and soil structure. For example, in areas with strong winds, increased soil erosion may lead to a drop in groundwater level. Comprehensive analysis can obtain more comprehensive, accurate and in-depth environmental interference values ​​of urban and rural buildings.

[0058] Table 1 Examples of environmental interference value data for urban and rural buildings As shown in Table 1, the environmental interference value of urban and rural buildings is jointly determined by the ambient temperature, groundwater level and wind force. In a specific embodiment, the reference standard ambient temperature is 25°C, the allowable deviation ambient temperature is 5°C, the reference standard groundwater level is 30 meters, the allowable deviation groundwater level is 10 meters, the critical wind force is 15m / s, the environmental interference value assessment impact factor corresponding to the set ambient temperature is 0.3, the environmental interference value assessment impact factor corresponding to the set groundwater level is 0.3, and the environmental interference value assessment impact factor corresponding to the set wind force is 0.4. This formula takes into account three key factors, namely ambient temperature, groundwater level and wind force, which is helpful to evaluate the adaptability of buildings under extreme climatic conditions. For example, high temperature may accelerate the aging of building materials, and low temperature may affect the stability of building structures, providing an important basis for building structure design. In addition, changes in groundwater levels will affect the stability of the foundation, especially when the groundwater level drops sharply, which may cause foundation settlement, thereby affecting the safety of the building. At the same time, wind force assessment helps to determine the wind pressure and wind vibration effect of the building under strong wind conditions, providing an important basis for building structure design, ensuring its safety under extreme weather conditions. By standardizing the ambient temperature, groundwater level and wind force, ensuring that they are compared at the same magnitude, the fairness and comparability of the evaluation are improved. By weighting the impact of ambient temperature, groundwater level and wind force, their relative importance in the evaluation index is reflected. The weights of different factors can be adjusted according to different needs, making the model highly adaptable. It is not difficult to see that the greater the ambient temperature deviation or groundwater level deviation or wind force, the greater the environmental interference value. By evaluating the environmental interference value, it is helpful to fully grasp the environmental conditions of the building, improve the comfort and safety of the building, formulate strategies to adapt to climate change, improve the adaptability of buildings and cities, and formulate effective disaster prevention and mitigation measures to reduce the impact of natural disasters on buildings and residents, ensure the stability and safety of buildings in extreme temperature conditions, extreme groundwater levels and strong winds, and more accurately evaluate the adaptability and sustainability of buildings in the natural environment, providing strong support for the sustainable development of urban and rural construction.

[0059] It should be understood that in this embodiment The environmental interference value assessment impact factor corresponding to the ambient temperature preset in the urban and rural building database represents a numerical value indicating the degree of influence of the ambient temperature on the environmental interference value. When used, the environmental interference value assessment impact factor corresponding to the ambient temperature can be directly obtained from the urban and rural building database. The corresponding relationship can be a preset mapping relationship. For example, the ambient temperature and the environmental interference value assessment impact factor corresponding to the ambient temperature preset in the urban and rural building database form a mapping set. The real-time ambient temperature is input into the mapping set to obtain the environmental interference value assessment impact factor corresponding to the ambient temperature. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is between 0 and 1. It is the environmental interference value assessment impact factor corresponding to the groundwater level preset in the urban and rural building database, which represents the numerical value of the influence degree of the groundwater level on the environmental interference value. When used, the environmental interference value assessment impact factor corresponding to the groundwater level can be directly obtained from the urban and rural building database, and the corresponding relationship can be a preset mapping relationship. For example, the groundwater level and the environmental interference value assessment impact factor corresponding to the groundwater level preset in the urban and rural building database form a mapping set, and the real-time groundwater level is input into the mapping set to obtain the environmental interference value assessment impact factor corresponding to the groundwater level. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is between 0 and 1; It is the environmental interference value assessment impact factor corresponding to the wind speed preset in the urban and rural building database, which represents the numerical value of the influence degree of wind speed on the environmental interference value. When used, the environmental interference value assessment impact factor corresponding to the wind speed can be directly obtained from the urban and rural building database, and the corresponding relationship can be a preset mapping relationship. For example, the wind speed and the environmental interference value assessment impact factor corresponding to the wind speed preset in the urban and rural building database form a mapping set, and the real-time wind speed is input into the mapping set to obtain the environmental interference value assessment impact factor corresponding to the wind speed. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is between 0 and 1.

[0060] It should be explained that the environmental interference value of urban and rural buildings in this embodiment is a quantitative index obtained by analyzing the ambient temperature, groundwater level and wind force, and is used to quantify the degree of interference of the surrounding environment of urban and rural buildings on the urban and rural buildings.

[0061] Specifically, a comprehensive analysis is performed to obtain a building safety assessment value, and the specific analysis process is as follows: extracting the critical service life from the urban and rural building database.

[0062] Based on the cumulative service life of urban and rural buildings, the building structural stability coefficient and the environmental interference value, a comprehensive analysis is conducted to obtain the building safety assessment value.

[0063] It should be explained that the cumulative service life in this embodiment is the time span from the completion of the building to the evaluation, which directly reflects the degree of aging of the building, and this indicator has a clear numerical basis in the evaluation process, which is convenient for quantitative analysis and comparison, and can be directly obtained from the urban and rural building database; structural stability is one of the core elements of building safety, which is directly related to the stability and durability of the building when it is subjected to various loads. By considering the structural stability coefficient of the building, the structural safety performance of the building can be intuitively reflected; the environmental interference value reflects the degree of adverse impact of the building's environment on its safety and durability. By considering the environmental interference value, the safety performance of the building can be more comprehensively evaluated, providing a scientific basis for formulating corresponding maintenance, reinforcement or reconstruction measures.

[0064] in, represents the building safety assessment value, Indicates the cumulative years of use, Indicates the critical cumulative service life, represents the structural stability coefficient of the building, Indicates the environmental interference value, Indicates the building safety assessment impact factor corresponding to the set cumulative service life, Indicates the building safety assessment impact factor corresponding to the set building structure stability coefficient, Indicates the building safety assessment impact factor corresponding to the set environmental interference value.

[0065] like Figure 3 As shown, in a specific embodiment, =20, =0.4, =0.4, =0.3. When y= =0.9, the functional relationship between the building safety assessment value and the building structural stability coefficient is shown in curve a; when y= =1, the functional relationship between the building safety assessment value and the building structural stability coefficient is shown in curve b; when y= =1.1, the functional relationship between the building safety assessment value and the building structural stability coefficient is shown in curve c.

[0066] In a specific embodiment, the algorithm of this embodiment combines the cumulative service life of urban and rural buildings, the building structure stability coefficient and the environmental interference value, and comprehensively analyzes to obtain the building safety assessment value. As the cumulative service life of the building increases, its structural materials may deteriorate due to aging, corrosion, wear and tear, etc., thereby affecting the stability of the structure. For example, cracking of concrete, rusting of steel bars, decay of wood, etc. may reduce the bearing capacity of the structure, and the cumulative service life may also cause the loosening or failure of the structural connectors, further affecting the overall stability of the structure. As the cumulative service life increases, the building's resistance to environmental interference may gradually weaken. For example, aging waterproof materials may not be able to effectively resist rainwater penetration, resulting in internal structural damage. Damaged, and environmental interference may also aggravate the aging process of buildings, forming a vicious circle. For example, frequent seismic activities may lead to the accumulation of structural damage to buildings, thereby shortening their service life. The structural stability coefficient is one of the important indicators for evaluating the structural stability of buildings. Under the influence of environmental interference, the structural stability coefficient may change to reflect the actual state of the structure. For example, under extreme environmental interference such as earthquakes, the structural stability coefficient may be significantly reduced. At the same time, environmental interference may also indirectly affect the structural stability coefficient by affecting the material properties, structural connection status and overall stress conditions of the building. For example, high temperature may lead to reduced concrete strength and softening of steel. Comprehensive analysis can obtain more accurate, comprehensive and reliable building safety assessment values.

[0067] It should be explained that in this embodiment, three key factors, namely, the cumulative service life, the building structure stability coefficient and the environmental interference value, are comprehensively considered, and the safety performance of the building can be evaluated more comprehensively and accurately, which helps to timely discover potential safety hazards and take corresponding measures to repair or reinforce, so as to ensure the safe use of the building. The growth of the cumulative service life and the intensification of environmental interference may have an adverse effect on the safety performance of the building. By regularly evaluating these factors, possible safety accidents can be predicted and prevented, and the safety of people's lives and property can be guaranteed. By monitoring these three parameters, problems existing in the building can be discovered and dealt with in a timely manner to prevent the problem from expanding, thereby maintaining the good condition of the building and extending its service life, thereby providing residents with a safer, more comfortable and healthy living environment, and improving the quality of life and happiness of residents. By weighting the influence of the cumulative service life, the building structure stability coefficient and the environmental interference value, it reflects their relative importance in the evaluation index, and the weights of different factors can be adjusted according to different needs, so that the model has good adaptability. It is not difficult to see that when the cumulative service life is smaller or the building structure stability coefficient is larger or the environmental interference value is smaller, the building safety evaluation value is larger. By evaluating the building safety assessment value, the safety performance of the building can be intuitively reflected. The high or low assessment value provides a scientific basis for taking corresponding repair, reinforcement or renovation measures. By eliminating safety hazards in a timely manner, it can effectively prevent the occurrence of safety accidents such as building collapse and fire, and protect the lives of residents.

[0068] It should be understood that in this embodiment The building safety assessment impact factor corresponding to the cumulative service life preset in the urban and rural building database represents the numerical value of the degree of influence of the cumulative service life on the building safety assessment value. When used, the building safety assessment impact factor corresponding to the cumulative service life can be directly obtained from the urban and rural building database. The corresponding relationship can be a preset mapping relationship. For example, the cumulative service life of urban and rural buildings and the building safety assessment impact factors corresponding to the cumulative service life preset in the urban and rural building database form a mapping set. The real-time cumulative service life is input into the mapping set to obtain the building safety assessment impact factor corresponding to the cumulative service life. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, the value range is between 0 and 1; The building safety assessment influencing factor corresponding to the building structure stability coefficient preset in the urban and rural building database represents the numerical value of the influence degree of the building structure stability coefficient on the building safety assessment value. When used, the building safety assessment influencing factor corresponding to the building structure stability coefficient can be directly obtained from the urban and rural building database. The corresponding relationship can be a preset mapping relationship. For example, the building structure stability coefficient and the building safety assessment influencing factor corresponding to the building structure stability coefficient preset in the urban and rural building database form a mapping set. The real-time building structure stability coefficient is input into the mapping set to obtain the building safety assessment influencing factor corresponding to the building structure stability coefficient. The mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this example, the value range is between 0 and 1; It is a building safety assessment impact factor corresponding to the environmental interference value preset in the urban and rural building database, which represents the numerical value of the influence degree of the environmental interference value on the building safety assessment value. When used, the building safety assessment impact factor corresponding to the environmental interference value can be directly obtained from the urban and rural building database, and the corresponding relationship can be a preset mapping relationship. For example, the environmental interference value of the urban and rural buildings and the building safety assessment impact factor corresponding to the environmental interference value preset in the urban and rural building database form a mapping set, and the real-time environmental interference value is input into the mapping set to obtain the building safety assessment impact factor corresponding to the environmental interference value. The mapping relationship can be one-to-one or many-to-one. In this example, its value range is between 0 and 1.

[0069] In a specific embodiment, the building safety assessment value is a quantitative index obtained by analyzing the cumulative service life, the building structure stability coefficient and the environmental interference value, and is used to quantify the safety performance of the building.

[0070] In a specific embodiment, deformation monitoring and early warning are performed on urban and rural buildings. The specific process is: extracting building deformation degree assessment parameter thresholds and building safety assessment thresholds from the urban and rural building database, comparing the building deformation degree assessment parameter and the building safety assessment value with the building deformation degree assessment threshold and the building safety assessment threshold respectively; if the building deformation degree assessment parameter is greater than or equal to the building deformation degree assessment threshold, or the building safety assessment value is less than the building safety assessment threshold, an early warning operation is performed. Specifically, the early warning operation refers to automatically sending an alarm to relevant management personnel when an abnormality is detected, and allowing an expert team to conduct on-site inspections, confirmations and repairs according to system prompts; if the building deformation degree assessment parameter is less than the building deformation degree assessment threshold, and the building safety assessment value is greater than or equal to the building safety assessment threshold, no early warning operation is performed.

[0071] Reference Figure 2As shown, the second aspect of the present invention provides an intelligent detection and prediction system for deformation of urban and rural buildings, including: an urban and rural building data acquisition module, which is used to count several key parts of urban and rural buildings, mark them as key monitoring points, and collect structural data, environmental data, cumulative service life and deformation data of each key monitoring point of urban and rural buildings.

[0072] The building deformation degree and safety assessment module is used to process the deformation data of each key monitoring point to obtain the building deformation degree assessment parameters, process the structural data of urban and rural buildings to obtain the building structural stability coefficient, and process the environmental data of urban and rural buildings to obtain the environmental interference value. According to the cumulative service life of urban and rural buildings, the building structural stability coefficient and the environmental interference value, a comprehensive analysis is performed to obtain the building safety assessment value.

[0073] The urban and rural building deformation early warning module is used to monitor and warn of deformation of urban and rural buildings based on building deformation degree assessment parameters and building safety assessment values.

[0074] The urban and rural building database is used to store relevant data of urban and rural buildings, including critical stress, critical vibration frequency, critical displacement, building structure stability assessment influencing factor corresponding to the building rigidity-to-weight ratio, building structure stability assessment influencing factor corresponding to the number of building surface cracks, building structure stability assessment influencing factor corresponding to crack length, allowable deviation ambient temperature, allowable deviation groundwater level, critical wind force, building safety assessment influencing factor corresponding to the cumulative service life, building safety assessment influencing factor corresponding to the building structure stability coefficient, building safety assessment influencing factor corresponding to the environmental interference value, building deformation degree assessment threshold and building safety assessment threshold. The data in the urban and rural building database are obtained by collecting data from multiple urban and rural building experiments.

[0075] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A method for intelligent detection and prediction of deformation of urban and rural buildings, characterized in that: include: Count several key parts of urban and rural buildings, mark them as key monitoring points, and collect structural data, environmental data, cumulative service life and deformation data of key monitoring points of urban and rural buildings; The deformation data of each key monitoring point is processed to obtain the building deformation degree assessment parameter, the structural data of urban and rural buildings is processed to obtain the building structural stability coefficient, and the environmental data of urban and rural buildings is processed to obtain the environmental interference value. According to the cumulative service life of urban and rural buildings, the building structural stability coefficient and the environmental interference value, a comprehensive analysis is performed to obtain the building safety assessment value; Based on the building deformation degree assessment parameters and building safety assessment values, deformation monitoring and early warning are carried out for urban and rural buildings.

2. The intelligent detection and prediction method for deformation of urban and rural buildings according to claim 1 is characterized by: The deformation data of each key monitoring point is processed to obtain the building deformation degree assessment parameter, and the specific processing process is as follows: The deformation data include stress, vibration frequency and displacement of each key monitoring point; Critical stress, critical vibration frequency and critical displacement are extracted from the urban and rural building database, and comprehensive analysis is performed to obtain building deformation assessment parameters.

3. The intelligent detection and prediction method for deformation of urban and rural buildings according to claim 2 is characterized by: The structural data of urban and rural buildings are processed to obtain the building structural stability coefficient, and the specific analysis process is as follows: The structural data include the building's rigidity-to-weight ratio, the number of cracks on the building's surface, and the length of each crack; The critical building stiffness-to-weight ratio, critical number of building surface cracks and critical crack length were extracted from the urban and rural building database, and the building structural stability coefficient was obtained through comprehensive analysis.

4. The intelligent detection and prediction method for deformation of urban and rural buildings according to claim 1 is characterized by: The environmental data of urban and rural buildings are processed to obtain the environmental interference value, and the specific analysis process is as follows: The environmental data include temperature, wind speed and groundwater level; The allowable deviation temperature, allowable deviation groundwater level and critical wind force are extracted from the urban and rural building database, and the environmental interference value is obtained through comprehensive analysis.

5. The intelligent detection and prediction method for deformation of urban and rural buildings according to claim 1 is characterized by: The comprehensive analysis obtains the building safety assessment value, and the specific analysis process is as follows: Extract critical service life from urban and rural building databases; Based on the cumulative service life of urban and rural buildings, the building structural stability coefficient and the environmental interference value, a comprehensive analysis is conducted to obtain the building safety assessment value.

6. The method for intelligent detection and prediction of deformation of urban and rural buildings according to claim 1 is characterized by: The specific process of deformation monitoring and early warning of urban and rural buildings is as follows: The building deformation degree assessment parameter threshold and the building safety assessment threshold are extracted from the urban and rural building database, and the building deformation degree assessment parameter and the building safety assessment value are compared with the building deformation degree assessment threshold and the building safety assessment threshold respectively. If the building deformation degree assessment parameter is greater than or equal to the building deformation degree assessment threshold, or the building safety assessment value is less than the building safety assessment threshold, an early warning operation is performed; if the building deformation degree assessment parameter is less than the building deformation degree assessment threshold, and the building safety assessment value is greater than or equal to the building safety assessment threshold, no early warning operation is performed.

7. The intelligent detection and prediction method for deformation of urban and rural buildings according to claim 6 is characterized by: The building deformation degree assessment parameter is a quantitative index obtained by analyzing the stress, vibration frequency and displacement of key monitoring points of urban and rural buildings, and is used to quantify the deformation degree of the building.

8. The intelligent detection and prediction method for deformation of urban and rural buildings according to claim 7 is characterized by: The specific numerical expression of the building deformation evaluation parameter is: ； in, Represents the building deformation evaluation parameter, represents the stress of the jth key monitoring point, represents the set critical stress, represents the vibration frequency of the jth key monitoring point, Indicates the set critical vibration frequency, represents the displacement of the jth key monitoring point, represents the set critical displacement, Indicates the impact factor of building deformation assessment corresponding to the set stress, It represents the impact factor of building deformation assessment corresponding to the set vibration frequency. It represents the impact factor of building deformation assessment corresponding to the set displacement, j represents the number of each key monitoring point, j=1,2,3,...,n, and n represents the total number of key monitoring points.

9. The intelligent detection and prediction method for deformation of urban and rural buildings according to claim 1 is characterized by: The building safety assessment value is a quantitative index obtained by analyzing the cumulative service life, the building structure stability coefficient and the environmental interference value, and is used to quantify the safety performance of the building.

10. A system for the intelligent detection and prediction method for deformation of urban and rural buildings as claimed in any one of claims 1 to 9, characterized in that: include: The urban and rural building data collection module is used to count several key parts of urban and rural buildings, mark them as key monitoring points, and collect structural data, environmental data, cumulative service life and deformation data of key monitoring points of urban and rural buildings; The building deformation degree and safety assessment module is used to process the deformation data of each key monitoring point to obtain the building deformation degree assessment parameter, process the structural data of urban and rural buildings to obtain the building structural stability coefficient, process the environmental data of urban and rural buildings to obtain the environmental interference value, and comprehensively analyze the accumulated service life of urban and rural buildings, the building structural stability coefficient and the environmental interference value to obtain the building safety assessment value; The urban and rural building deformation early warning module is used to monitor and warn of deformation of urban and rural buildings based on building deformation degree assessment parameters and building safety assessment values; The urban and rural building database is used to store relevant data of urban and rural buildings, including critical stress, critical vibration frequency, critical displacement, building structural stability assessment influencing factors corresponding to the building stiffness-to-weight ratio, building structural stability assessment influencing factors corresponding to the number of cracks on the building surface, building structural stability assessment influencing factors corresponding to the crack length, allowable deviation ambient temperature, allowable deviation groundwater level, critical wind force, building safety assessment influencing factors corresponding to the cumulative service life, building safety assessment influencing factors corresponding to the building structural stability coefficient, building safety assessment influencing factors corresponding to the environmental interference value, building deformation degree assessment threshold and building safety assessment threshold.

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