An intelligent monitoring system for building connection structure failure based on the Internet of Things
By building an IoT-based intelligent monitoring system for building connection structure failures and utilizing three-dimensional simulation models and convolutional neural networks, we have solved the problems of low monitoring efficiency and lack of prediction in existing technologies, achieved efficient monitoring and prediction of building connection structures, and ensured building safety.
Patent Information
- Application Number
- CN202510973370.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-15
- Publication Date
- 2025-09-30
- Estimated Expiration
- 2045-07-15
AI Technical Summary
In existing technologies, monitoring of building connection structures is inefficient, data processing is not timely, and comprehensive coverage is difficult. In addition, there is a lack of advance prediction methods, making it impossible to effectively identify damage to different areas within the connection structure.
An intelligent monitoring system for building connection structure failures based on the Internet of Things is constructed, including data acquisition, monitoring, analysis and evaluation modules. The damage of the connection structure is predicted through a three-dimensional simulation model and a convolutional neural network. A monitoring unit is set up to obtain the damage coefficient and generate fault signal feedback.
It achieves efficient monitoring and prediction of building connection structures, can timely identify the degree of damage and abnormal displacement in vulnerable areas, and provide an effective prediction mechanism to ensure building safety.
Smart Images
Figure CN120470869B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of building monitoring, and in particular to an intelligent monitoring system for building connection structure faults based on the Internet of Things. Background Art
[0002] With the acceleration of urbanization, the number of high-rise buildings and large-scale infrastructure is increasing. The health of building connections is directly related to the safety of buildings. Traditional structural monitoring mainly relies on manual inspections or single sensor monitoring, which has problems such as low monitoring efficiency, untimely data processing, and difficulty in comprehensive coverage.
[0003] In the prior art, there are technical means for monitoring building connection structures using different data, but they often monitor the connection structure as a whole, while ignoring the impact of damage caused to different areas within the same connection structure due to daily use. In addition, the monitoring of the existing technology can only achieve real-time monitoring, but lacks the technical means for early prediction. In response to the shortcomings of the existing technology, the present invention provides a building connection structure fault intelligent monitoring system based on the Internet of Things. Summary of the Invention
[0004] The purpose of the present invention is to provide an intelligent monitoring system for building connection structure failures based on the Internet of Things.
[0005] The purpose of the present invention can be achieved through the following technical solutions: An intelligent monitoring system for building connection structure failure based on the Internet of Things, comprising the following modules:
[0006] The data acquisition module is used to obtain the connection relationship and structural parameters of the building and its connection structure, and to construct a corresponding three-dimensional physical model. The three-dimensional physical model is simulated and analyzed to obtain a three-dimensional simulation model, and the variable area of the connection structure is obtained in the three-dimensional simulation model.
[0007] The data monitoring module is used to set up different monitoring units in the vulnerable area and obtain corresponding monitoring data respectively. Based on the monitoring data, multiple damage coefficients of the connection structure are obtained and divided into different damage degrees;
[0008] The data analysis module is used to obtain the current environmental parameters, adjust the connection structure in the three-dimensional simulation model to obtain different simulated connection structures, obtain the simulated displacement of the simulated connection structure under different damage coefficients, and construct a corresponding displacement prediction model;
[0009] The data evaluation module is used to obtain the predicted displacement using the displacement prediction model combined with the damage coefficient, determine whether there is abnormal displacement, and generate a fault signal for feedback.
[0010] Furthermore, the process of obtaining the connection relationship and structural parameters of the building and its connection structure and constructing the corresponding three-dimensional physical model includes:
[0011] The connection structure refers to a device used to connect different components of a building in a construction project. The connection relationship refers to the type of connection between the connection structure and the components it connects, including rigid connection, flexible connection, and sliding connection.
[0012] The structural parameters refer to various relevant parameters of the connection structure, including size parameters, node parameters, material parameters, and other parameters. A three-dimensional physical model of the building and the connection structure is constructed using three-dimensional modeling software based on the connection relationship and structural parameters.
[0013] Furthermore, a simulation analysis is performed on the three-dimensional physical model to obtain a three-dimensional simulation model. The process of obtaining the variable area of the connection structure in the three-dimensional simulation model includes:
[0014] Applying a simulated load to the connection structure using the finite element analysis method in the three-dimensional physical model, obtaining simulation parameters of different positions of the connection structure under the applied simulated load, including stress, strain, temperature, and vibration frequency, and marking the three-dimensional physical model at this time as a three-dimensional simulation model;
[0015] A single simulation parameter is divided into different numerical intervals according to its numerical size, a color corresponding to a wavelength is set for each numerical interval, and different positions of the connection structure are rendered with the color corresponding to its single simulation parameter to obtain simulation parameter distribution maps, including stress distribution maps, strain distribution maps, temperature distribution maps, and vibration frequency distribution maps;
[0016] Corresponding simulation parameter thresholds are set for different simulation parameters, including stress threshold, strain threshold, temperature threshold, and vibration frequency threshold. The simulation parameters at different positions in a single simulation parameter distribution diagram are compared with their simulation parameter thresholds to obtain the variable areas therein, including stress variable areas, strain variable areas, temperature variable areas, and vibration frequency variable areas.
[0017] Furthermore, the process of setting different monitoring units in the volatile area and obtaining corresponding monitoring data respectively includes:
[0018] A corresponding monitoring unit is set in each variable area of the connection structure, including a stress monitoring unit, a strain monitoring unit, a temperature monitoring unit, and a vibration frequency monitoring unit. The monitoring data in each variable area is obtained in real time through the monitoring unit, including stress value, strain value, temperature value, and vibration frequency value.
[0019] Furthermore, the process of obtaining multiple damage coefficients of the connection structure based on the monitoring data and classifying them into different damage degrees includes:
[0020] Obtain the initial simulation parameters of the same position of the connection structure under standard working conditions in the 3D simulation model, including the initial stress , initial strain , initial temperature , initial vibration frequency , the standard working condition refers to the preset fixed simulation load, including static load, dynamic load and wind load;
[0021] According to the different intersecting variable regions in the same connection structure, the variable combination region of the connection structure is obtained. In the actual application scenario, the maximum stress value, strain value, temperature value, and vibration frequency value contained in a single variable combination region of the connection structure are marked as 、 、 、 ;
[0022] Obtain the damage coefficient S of the single variable combination area based on the maximum stress value, strain value, temperature value, vibration frequency value contained in the single variable combination area and the initial stress, initial strain, initial temperature, and initial vibration frequency of the corresponding monitoring unit;
[0023] ;
[0024] The weight values preset for each monitoring data are used to obtain the damage coefficients of different variable combination areas in the same connection structure;
[0025] The damage range is set, and the damage coefficient is compared with the damage range to obtain the damage degree of the corresponding variable combination area, including low damage state, high damage state, and medium damage state.
[0026] Furthermore, the process of obtaining current environmental parameters and adjusting the connection structure in the three-dimensional simulation model to obtain different simulated connection structures includes:
[0027] The environmental parameters refer to the static load, dynamic load, and wind load of the connection structure in the actual application scenario. The current environmental parameters are uploaded to the three-dimensional simulation model for synchronization;
[0028] In the three-dimensional simulation model, various quantitative indicators of the connection structure are adjusted separately, including rigidity, elastic modulus, damping, and range of motion, so that the simulation parameters of the corresponding positions are the same as the monitoring data of each monitoring unit under the current environmental parameters, and the connection structure at this time is used as the simulated connection structure.
[0029] Furthermore, the process of obtaining the simulated displacement of the simulated connection structure under different damage coefficients and constructing the corresponding displacement prediction model includes:
[0030] Obtain the damage coefficients of different variable combination areas of the simulated connection structure, set displacement monitoring points in each variable combination area, and use the distance between the position of each displacement monitoring point under standard working conditions and the position under current environmental parameters as the simulated displacement of the corresponding variable combination area;
[0031] The simulated displacements of the variable combination areas with different damage coefficients are obtained, and a displacement prediction set is generated based on the different simulated displacements, their environmental parameters and damage coefficients, and the set is divided into a training set and a test set.
[0032] Construct a convolutional neural network, use different environmental parameters and damage coefficients in the training set as input data of the convolutional neural network, use the corresponding simulated displacements in the training set as output data of the convolutional neural network, and train the convolutional neural network to obtain an initial convolutional neural network;
[0033] The initial convolutional neural network is model verified using the test set, and the initial convolutional neural network with a test error threshold less than or equal to the preset value is output as the corresponding displacement prediction model.
[0034] Furthermore, the process of using the displacement prediction model in combination with the damage coefficient to obtain the predicted displacement, determining whether there is abnormal displacement, and generating a fault signal for feedback includes:
[0035] In actual application scenarios, corresponding assessment cycles are set for variable combination areas with different damage levels. For a single variable combination area, every time an assessment cycle is reached, its damage coefficient and current environmental parameters are input into the displacement prediction model to obtain the corresponding predicted displacement.
[0036] Corresponding displacement thresholds are set for different volatile combination areas, and the predicted displacements are compared with their displacement thresholds to obtain volatile combination areas with abnormal displacements. Fault signals are generated and fed back to relevant personnel.
[0037] Compared with the prior art, the present invention has the following beneficial effects:
[0038] The present invention constructs a three-dimensional simulation model of the connection structure and applies multiple loads to it, thereby obtaining local areas of the connection structure that are prone to change. Monitoring units are set in the obtained local areas to obtain monitoring data. The damage coefficient and damage degree of different parts of the connection structure are obtained based on the monitoring data. This can effectively evaluate the damage of the connection structure and form an effective monitoring mechanism for parts of the connection structure that are prone to change.
[0039] By adjusting the connection structure in the three-dimensional simulation model to obtain a simulated connection structure that is the same as the actual application scenario, it is beneficial to use data simulation methods to obtain the displacement of different parts of the connection structure under different environmental parameters, and to construct a corresponding displacement prediction model. The displacement prediction model can directly obtain the displacement of different parts of the connection structure in the actual application scenario, which is beneficial to form an effective prediction mechanism for the connection structure and can timely judge and provide feedback on whether there is a fault. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] Figure 1 This is a schematic diagram of the present invention. DETAILED DESCRIPTION
[0041] like Figure 1 As shown, an intelligent monitoring system for building connection structure faults based on the Internet of Things includes the following modules:
[0042] The data acquisition module is used to obtain the connection relationship and structural parameters of the building and its connection structure, and to construct a corresponding three-dimensional physical model. The three-dimensional physical model is simulated and analyzed to obtain a three-dimensional simulation model, and the variable area of the connection structure is obtained in the three-dimensional simulation model.
[0043] The data monitoring module is used to set up different monitoring units in the vulnerable area and obtain corresponding monitoring data respectively. Based on the monitoring data, multiple damage coefficients of the connection structure are obtained and divided into different damage degrees;
[0044] The data analysis module is used to obtain the current environmental parameters, adjust the connection structure in the three-dimensional simulation model to obtain different simulated connection structures, obtain the simulated displacement of the simulated connection structure under different damage coefficients, and construct a corresponding displacement prediction model;
[0045] The data evaluation module is used to obtain the predicted displacement using the displacement prediction model combined with the damage coefficient, determine whether there is abnormal displacement, and generate a fault signal for feedback.
[0046] It should be further explained that, in the specific implementation process, the process of obtaining the connection relationship and structural parameters of the building and its connection structure and constructing the corresponding three-dimensional physical model includes:
[0047] The connection structure refers to a device used to connect different components of a building in a construction project. The connection structure can be a physical connection or involve the coordination of mechanical properties to ensure effective load transfer and structural integrity;
[0048] Using 3D modeling software to construct a 3D physical model of the building and its connection structure based on the acquired connection relationships and structural parameters. In this case, the constructed 3D physical model only includes its physical structure.
[0049] The connection relationship refers to the type of connection between the connection structure and the components it connects, including rigid connection (does not allow relative movement, used in places where structural integrity must be maintained), flexible connection (allows certain deformation, used in earthquake-resistant design), and sliding connection (allows sliding, used to reduce damage during earthquakes);
[0050] The structural parameters refer to various relevant parameters of the connection structure itself, including dimensional parameters (such as cross-sectional dimensions and reinforcement ratio, which affect structural strength and stability), node parameters (such as node construction method and node domain size, which affect connection strength), material parameters (such as concrete and steel, which affect connection performance), and other parameters (such as reinforcement measures and anti-cracking measures to ensure durability).
[0051] It should be further explained that, in a specific implementation process, the three-dimensional physical model is simulated and analyzed to obtain a three-dimensional simulation model. The process of obtaining the variable area of the connection structure in the three-dimensional simulation model includes:
[0052] Perform simulation analysis on the connection structure using the finite element analysis method in the three-dimensional physical model, including applying simulated loads (including static loads, dynamic loads, and wind loads), obtaining simulation parameters (including stress, strain, temperature, and vibration frequency) at different positions of the connection structure under the applied simulated loads, and marking the three-dimensional physical model at this time as a three-dimensional simulation model;
[0053] A single simulation parameter is divided into different numerical intervals according to its numerical value, and a color corresponding to a wavelength is set for each numerical interval. The larger the value, the larger the wavelength. Different positions of the connection structure are rendered with the color corresponding to its single simulation parameter to obtain the corresponding simulation parameter distribution map, including stress distribution map, strain distribution map, temperature distribution map, and vibration frequency distribution map;
[0054] Setting corresponding simulation parameter thresholds for different simulation parameters, including stress threshold, strain threshold, temperature threshold, and vibration frequency threshold, and comparing simulation parameters at different positions in a single simulation parameter distribution graph with their corresponding simulation parameter thresholds;
[0055] The area composed of positions where the simulation parameters are greater than or equal to their simulation parameter thresholds is taken as the variable area in the simulation parameter distribution diagram, including stress variable areas, strain variable areas, temperature variable areas, and vibration frequency variable areas. The variable areas are used to reflect areas where the simulation parameters of the connection structure are prone to change under simulated loads.
[0056] It should be further explained that, in the specific implementation process, the process of setting different monitoring units in the volatile area and obtaining corresponding monitoring data respectively includes:
[0057] A stress monitoring unit is respectively provided in each stress-variable region of the connection structure, and the stress value in each stress-variable region is obtained in real time by the stress monitoring unit;
[0058] A strain monitoring unit is provided in each strain-variable region of the connection structure, and the strain value in each strain-variable region is obtained in real time by the strain monitoring unit;
[0059] A temperature monitoring unit is provided in each temperature-variable region of the connection structure, and the temperature value of each temperature-variable region is obtained in real time by the temperature monitoring unit;
[0060] A vibration frequency monitoring unit is provided in each vibration frequency variable region of the connection structure, and the vibration frequency value in each vibration frequency variable region is obtained in real time by the vibration frequency monitoring unit;
[0061] The monitoring unit includes a stress monitoring unit, a strain monitoring unit, a temperature monitoring unit, and a vibration frequency monitoring unit. The monitoring data includes stress values, strain values, temperature values, and vibration frequency values in different variable areas.
[0062] It should be further explained that, in the specific implementation process, the process of obtaining multiple damage coefficients of the connection structure based on the monitoring data and classifying them into different damage degrees includes:
[0063] Obtain the initial simulation parameters of the same position of the connection structure under standard working conditions in the three-dimensional simulation model. The standard working conditions refer to preset fixed static loads, dynamic loads, and wind loads. The initial simulation parameters include initial stress , initial strain , initial temperature , initial vibration frequency ;
[0064] Determine whether different mutable regions of the same connection structure have intersections. If so, use all the mutable regions with intersections as the mutable combination region of the connection structure. If not, do not perform any other operations on them.
[0065] In practical application scenarios, the maximum stress value, strain value, temperature value, and vibration frequency value contained in a single variable combination area of the connection structure are marked as 、 、 、 ;
[0066] The term "include" means that the corresponding monitoring data is obtained if there are relevant monitoring units in the single volatile combination area. If not, the value is recorded as 0. The term "maximum" means that if there are multiple relevant monitoring units for the same monitoring data in the single volatile combination area, the maximum value obtained is used as the representative value of the monitoring data in the single volatile combination area.
[0067] According to the maximum stress value, strain value, temperature value, vibration frequency value contained in the single variable combination area and the initial stress, initial strain, initial temperature, and initial vibration frequency corresponding to the corresponding monitoring unit, the damage coefficient of the single variable combination area is obtained, which is recorded as S;
[0068] ;
[0069] The weight values preset for each monitoring data are: if there is no relevant monitoring unit in the single variable combination area, the weight value of the corresponding monitoring data is adjusted to 0, and then the damage coefficient of the single variable combination area is obtained. The same method is used to obtain the damage coefficients of different variable combination areas of the same connection structure;
[0070] Set the damaged range [S min , S max ], compare the obtained damage coefficient with the damage range to obtain the damage degree. If S≤S min , then the corresponding volatile combination area is marked as a low damage state. If S≥S max , then the corresponding volatile combination area is marked as a high damage state. If S min <S<S max , then the corresponding volatile combination area is marked as a medium damaged state.
[0071] It should be further explained that, in a specific implementation process, the process of obtaining current environmental parameters and adjusting the connection structure in the three-dimensional simulation model to obtain different simulated connection structures includes:
[0072] The environmental parameters refer to the static load, dynamic load, and wind load of the connection structure in actual application scenarios. These three are common knowledge. The static load can be directly obtained through structural analysis software, the dynamic load can be directly monitored by sensors, and the wind load can be directly calculated by combining the real-time wind speed.
[0073] When obtaining the initial simulation parameters, the connection structure in the three-dimensional simulation model is in an ideal state and does not suffer from damage in actual application scenarios. Therefore, it is necessary to adjust the connection structure to conform to the actual condition of the connection structure in actual application scenarios. The adjustment includes adjusting quantitative indicators such as the rigidity, elastic modulus, damping, and range of motion of the connection structure.
[0074] The current environmental parameters are uploaded to the three-dimensional simulation model for synchronization. In the three-dimensional simulation model, the various quantitative indicators of the connection structure are adjusted separately so that the simulation parameters of the corresponding positions are the same as the monitoring data monitored by each monitoring unit under the current environmental parameters. The connection structure at this time is used as the simulation connection structure.
[0075] It should be further explained that, in the specific implementation process, the process of obtaining the simulated displacement of the simulated connection structure under different damage coefficients and constructing the corresponding displacement prediction model includes:
[0076] Different variable combination areas of the simulated connection structure respectively have corresponding damage coefficients, a displacement monitoring point is set in a single variable combination area, and the distance between the position of the displacement monitoring point under standard working conditions and the position under current environmental parameters is used as the simulated displacement of the single variable combination area;
[0077] The same method is used to obtain the simulated displacements of the variable combination areas with different damage coefficients. A displacement prediction set is generated based on the different simulated displacements, their environmental parameters, and damage coefficients. The displacement prediction set is divided into a training set and a test set.
[0078] Construct a convolutional neural network, use different environmental parameters and damage coefficients in the training set as input data of the convolutional neural network, use the corresponding simulated displacements in the training set as output data of the convolutional neural network, and train the convolutional neural network to obtain an initial convolutional neural network;
[0079] The initial convolutional neural network is verified using the test set, and the initial convolutional neural network with an output value less than or equal to a preset test error threshold is used as the displacement prediction model.
[0080] It should be further explained that, in the specific implementation process, the process of using the displacement prediction model in combination with the damage coefficient to obtain the predicted displacement, determine whether there is abnormal displacement, and generate a fault signal for feedback includes:
[0081] In actual application scenarios, corresponding assessment cycles are set for variable combination areas with different degrees of damage. The lower the degree of damage, the longer the assessment cycle. The assessment cycle for low damage is shorter than that for medium damage, which is shorter than that for high damage.
[0082] For variable combination areas with different damage degrees, each time a corresponding assessment cycle is reached, the damage coefficient and the current environmental parameters are input into the displacement prediction model to obtain the predicted displacement of different variable combination areas;
[0083] Set corresponding displacement thresholds for different volatile combination areas, and compare the obtained predicted displacement with its displacement threshold. If the predicted displacement is less than or equal to the displacement threshold, it is determined that there is no abnormal displacement and no other operation is performed on it.
[0084] If the predicted displacement is greater than the displacement threshold, it is determined that abnormal displacement exists, and a corresponding fault signal is generated. The fault signal is fed back to the relevant personnel to prompt them to promptly inspect and repair the variable combination area.
[0085] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.
Claims
1. An intelligent monitoring system for building connection structure faults based on the Internet of Things, characterized in that: Includes the following modules: The data acquisition module is used to obtain the connection relationship and structural parameters of the building and its connection structure, and to construct a corresponding three-dimensional physical model. The three-dimensional physical model is simulated and analyzed to obtain a three-dimensional simulation model, and the variable area of the connection structure is obtained in the three-dimensional simulation model. The data monitoring module is used to set up different monitoring units in the vulnerable area and obtain corresponding monitoring data respectively. Based on the monitoring data, multiple damage coefficients of the connection structure are obtained and divided into different damage degrees; The data analysis module is used to obtain the current environmental parameters, adjust the connection structure in the three-dimensional simulation model to obtain different simulated connection structures, obtain the simulated displacement of the simulated connection structure under different damage coefficients, and construct a corresponding displacement prediction model; The data evaluation module is used to obtain the predicted displacement using the displacement prediction model combined with the damage coefficient, determine whether there is abnormal displacement, and generate a fault signal for feedback; The process of obtaining the variable areas of the 3D simulation model and its connected structures includes: Applying a simulated load to the connection structure using the finite element analysis method in the three-dimensional physical model, obtaining simulation parameters of different positions of the connection structure under the applied simulated load, including stress, strain, temperature, and vibration frequency, and marking the three-dimensional physical model at this time as a three-dimensional simulation model; A single simulation parameter is divided into different numerical intervals according to its numerical size, a color corresponding to a wavelength is set for each numerical interval, and different positions of the connection structure are rendered with the color corresponding to its single simulation parameter to obtain simulation parameter distribution maps, including stress distribution maps, strain distribution maps, temperature distribution maps, and vibration frequency distribution maps; Setting corresponding simulation parameter thresholds for different simulation parameters, including stress threshold, strain threshold, temperature threshold, and vibration frequency threshold, and comparing simulation parameters at different positions in a single simulation parameter distribution graph with their simulation parameter thresholds to obtain variable regions therein, including stress variable regions, strain variable regions, temperature variable regions, and vibration frequency variable regions; The process of obtaining the damage coefficient and damage degree of the connection structure includes: Obtain the initial simulation parameters of the same position of the connection structure under standard working conditions in the 3D simulation model, including the initial stress , initial strain , initial temperature , initial vibration frequency , the standard working condition refers to the preset fixed simulation load, including static load, dynamic load and wind load; According to the different intersecting variable regions in the same connection structure, the variable combination region of the connection structure is obtained. In the actual application scenario, the maximum stress value, strain value, temperature value, and vibration frequency value contained in a single variable combination region of the connection structure are marked as 、 、 、 ; Obtain the damage coefficient S of the single variable combination area based on the maximum stress value, strain value, temperature value, vibration frequency value contained in the single variable combination area and the initial stress, initial strain, initial temperature, and initial vibration frequency of the corresponding monitoring unit; ； The weight values preset for each monitoring data are used to obtain the damage coefficients of different variable combination areas in the same connection structure; The damage range is set, and the damage coefficient is compared with the damage range to obtain the damage degree of the corresponding variable combination area, including low damage state, high damage state, and medium damage state.
2. The intelligent monitoring system for building connection structure failure based on the Internet of Things according to claim 1 is characterized in that: The process of building a 3D physical model includes: The connection structure refers to a device used to connect different components of a building in a construction project. The connection relationship refers to the type of connection between the connection structure and the components it connects, including rigid connection, flexible connection, and sliding connection. The structural parameters refer to various relevant parameters of the connection structure, including size parameters, node parameters, and material parameters. A three-dimensional physical model of the building and the connection structure is constructed using three-dimensional modeling software based on the connection relationship and structural parameters.
3. The intelligent monitoring system for building connection structure failure based on the Internet of Things according to claim 2 is characterized in that: The process of setting up a monitoring unit and obtaining monitoring data includes: A corresponding monitoring unit is set in each variable area of the connection structure, including a stress monitoring unit, a strain monitoring unit, a temperature monitoring unit, and a vibration frequency monitoring unit. The monitoring data in each variable area is obtained in real time through the monitoring unit, including stress value, strain value, temperature value, and vibration frequency value.
4. The intelligent monitoring system for building connection structure failure based on the Internet of Things according to claim 3 is characterized in that: The process of obtaining environmental parameters and simulating connection structures includes: The environmental parameters refer to the static load, dynamic load, and wind load of the connection structure in the actual application scenario. The current environmental parameters are uploaded to the three-dimensional simulation model for synchronization; In the three-dimensional simulation model, various quantitative indicators of the connection structure are adjusted separately, including rigidity, elastic modulus, damping, and range of motion, so that the simulation parameters of the corresponding positions are the same as the monitoring data of each monitoring unit under the current environmental parameters, and the connection structure at this time is used as the simulation connection structure.
5. The intelligent monitoring system for building connection structure failure based on the Internet of Things according to claim 4 is characterized in that: The process of obtaining simulated displacement and building a displacement prediction model includes: Obtain the damage coefficients of different variable combination areas of the simulated connection structure, set displacement monitoring points in each variable combination area, and use the distance between the position of each displacement monitoring point under standard working conditions and the position under current environmental parameters as the simulated displacement of the corresponding variable combination area; The simulated displacements of variable combination areas with different damage coefficients are obtained, and a displacement prediction set is generated based on the different simulated displacements, their environmental parameters, and damage coefficients, and the set is divided into a training set and a test set. Construct a convolutional neural network, use different environmental parameters and damage coefficients in the training set as input data of the convolutional neural network, use the corresponding simulated displacements in the training set as output data of the convolutional neural network, and train the convolutional neural network to obtain an initial convolutional neural network; The initial convolutional neural network is model verified using the test set, and the initial convolutional neural network with a test error threshold less than or equal to the preset value is output as the corresponding displacement prediction model.
6. The intelligent monitoring system for building connection structure failure based on the Internet of Things according to claim 5 is characterized in that: The process of obtaining predicted displacement and generating fault signals includes: In actual application scenarios, corresponding assessment cycles are set for variable combination areas with different damage levels. For a single variable combination area, every time an assessment cycle is reached, its damage coefficient and current environmental parameters are input into the displacement prediction model to obtain the corresponding predicted displacement. Corresponding displacement thresholds are set for different volatile combination areas, and the predicted displacements are compared with their displacement thresholds to obtain volatile combination areas with abnormal displacements. Fault signals are generated and fed back to relevant personnel.