Data transmission method and system for smart building and storage medium

Abstract

The invention discloses a data transmission method and system for a smart building and a storage medium, and relates to the technical field of smart architectures.The method comprises the steps that perception sensors are installed at structural nodes of a high-rise smart building, vibration data are collected, and the vibration data are graded through a layered transmission protocol; and data compression and coding technologies are combined for transmission, so that the collection, transmission and processing efficiency of the building vibration data is effectively improved. The comprehensive vibration safety coefficient is calculated in real time by applying a comprehensive vibration algorithm model in the central processing system and combining the dynamic energy gradient, the nonlinear damping rate and the vibration frequency interference degree, and vibration safety dynamic monitoring of the building structure nodes is achieved. When the vibration condition is abnormal, the linkage control mechanism can be triggered in time, and the damper and the outer wall adjusting device of the building structure are adjusted, so that the safety state of the building is quickly responded and optimized, and the risk of the building under the change of the external environment such as wind power is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent buildings, and specifically to a data transmission method, system, and storage medium for intelligent buildings. Background Art

[0002] With the rapid development of technology, the construction field has gradually made remarkable progress in improving the level of intelligence and automation. Especially in the design, construction, and management of high-rise intelligent buildings, more and more buildings are beginning to adopt intelligent building technologies. Intelligent buildings usually rely on technologies such as sensors, data collection, and cloud computing to collect, process, and analyze various building information in real time to improve the operation efficiency and safety of buildings. One of the cores of intelligent building technology is structural health monitoring. By monitoring the structural state of buildings in real time, especially frequent high wind speed weather may cause micro-vibrations of the building. To ensure the safety and comfort of the building structure, it is necessary to monitor the vibration conditions of each key node of the building in real time and transmit the data to the monitoring center for analysis, so as to warn of structural abnormalities or optimize the building design.

[0003] At present, due to the large amount of building monitoring data and the high real-time requirement for data transmission, traditional data transmission protocols usually cannot effectively distinguish the priorities of different data. In this way, during the transmission process, important vibration data may be delayed or lost due to the limitation of the transmission bandwidth. Especially when a high-rise intelligent building experiences abnormal vibrations during strong wind weather, the warning ability and response speed are greatly reduced. Secondly, the use of data compression and encoding technologies fails to fully combine the characteristics of high-rise intelligent buildings, resulting in a large amount of redundant data during the processing process. This not only reduces the transmission efficiency but also increases the computing burden on the data center. Finally, the structural node health monitoring system of intelligent buildings often fails to identify potential risks in a timely and accurate manner, and may even miss the best intervention opportunity when there are potential safety hazards in the building. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention provides a data transmission method, system, and storage medium for intelligent buildings, which solves the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: including the following steps:

[0006] S1. Install a sensing sensor group at the structural nodes of the high-rise intelligent building, collect the vibration data of the high-rise intelligent building in real time, and classify the collected vibration data using a hierarchical transmission protocol;

[0007] S2. After the level division, compress the vibration data after the level division through data compression and encoding technology to obtain a vibration data compression package, construct a central processing system, transmit the vibration data compression package to the central processing system through dynamic broadband allocation, and preprocess the data compression package in the central processing system to obtain a standard vibration data set;

[0008] S3. Construct a comprehensive vibration algorithm model in the central processing system, extract the standard vibration data set and input it into the comprehensive vibration algorithm model for calculation to output a comprehensive vibration safety factor, set the first safety threshold and the second safety threshold of each structural node for a preliminary comparison and evaluation with the comprehensive vibration safety factor, and trigger a linkage control mechanism based on the preliminary comparison and evaluation results;

[0009] S4. After the linkage control mechanism is executed, calculate and output a control effect index to analyze the control effect of each structural node;

[0010] S5. After optimizing and evaluating to be normal, based on the control effect index combined with the standard vibration data set collected in real time, comprehensively calculate the building health index of the high-rise intelligent building, and at the same time set the first health threshold and the second health threshold for a secondary comparison and evaluation with the building health index to analyze the overall stability of the high-rise intelligent building and optimize the layout and design of the structural nodes.

[0011] Preferably, S1 includes S11 and S12;

[0012] S11. Install a sensing sensor group at each structural node of the high-rise intelligent building, and at the same time set the sampling frequency of the sensing sensor to 100 Hz to collect the vibration data of each structural node of the high-rise intelligent building in real time;

[0013] The structural nodes include main load-bearing beams, external wall connection points and floor spacers;

[0014] The sensing sensor group includes an intelligent vibration sensor and a displacement sensor;

[0015] The vibration data includes vibration velocity, vibration frequency and displacement;

[0016] S12. Use a hierarchical transmission protocol to divide the vibration data at each structural node into levels. The hierarchical transmission protocol sets a vibration threshold based on the natural vibration frequency of each structural node of the high-rise intelligent building, then compares the vibration threshold with the vibration frequency at each structural node, divides the vibration data at each structural node into levels, and transmits them to the central processing system in order according to the divided levels. The specific level division is as follows:

[0017] When the vibration frequency > the vibration threshold, the vibration data at the current structural node is marked as the third-priority level data at this time;

[0018] When twice the vibration threshold ≤ the vibration frequency ≤ three times the vibration threshold, the vibration data at the current structural node is marked as the second-priority level data at this time;

[0019] When the vibration frequency > three times the vibration threshold, the vibration data at the current structural node is marked as the first-priority level data at this time;

[0020] The transmission order of vibration data is first-priority level data > second-priority level data > third-priority level data.

[0021] Preferably, the S2 includes S21, S22, and S23;

[0022] S21. After classifying the vibration data, using data compression and encoding technology, perform compression processing on the vibration data collected at all structural nodes by using Huffman coding to obtain a vibration data compression package;

[0023] S22. After compressing the vibration data, use the flow prediction algorithm LSTM network based on time series analysis to predict the flow change trend of the sensor, and dynamically allocate bandwidth according to the prediction result; at the same time, build a central processing system in the information processing center of the high-rise intelligent building, and transmit the vibration data compression package to the central processing system according to the dynamically allocated bandwidth;

[0024] S23. Receive the vibration data compression package in real time in the central processing system, decompress the compression package through a decoding tool, extract the vibration data, preprocess the vibration data after extraction, and then perform combined calculation on the preprocessed vibration data to obtain a standard vibration data set;

[0025] The preprocessing includes data cleaning and normalization processing, which are used to eliminate the influence between different parameters;

[0026] The standard vibration data set includes dynamic energy gradient, nonlinear damping rate, and vibration frequency interference degree.

[0027] Preferably, the S3 includes S31 and S32;

[0028] S31. By constructing a comprehensive vibration algorithm model, which is constructed through an exponential decay part, a damping effect adjustment part, and a vibration frequency interference adjustment part, then extracting the dynamic energy gradient, non-linear damping rate, and vibration frequency interference degree from the standard dataset of each structural node, inputting them into the comprehensive vibration algorithm model, calculating and outputting the comprehensive vibration safety factor, identifying the structural node risks of high-rise intelligent buildings, and analyzing the vibration safety of high-rise intelligent buildings under the action of wind force;

[0029] S32. Based on the simulation experiments of each different structural node, quantitatively analyze the relationship between the comprehensive vibration safety factor and the damage of the structural node, set the first safety threshold of the i-th structural node and the second safety threshold of the i-th structural node, and then preliminarily compare and evaluate the obtained comprehensive vibration safety factor with the first safety threshold and the second safety threshold of the i-th structural node, analyze the abnormal conditions of the structural node under the action of component forces, and trigger the linkage control mechanism based on the preliminary comparison and evaluation results.

[0030] Preferably, the preliminary comparison and evaluation are specifically as follows:

[0031] When the comprehensive vibration safety factor of the i-th structural node > the first safety threshold of the i-th structural node, it indicates that the vibration condition of the structural node is normal and no intervention is required;

[0032] When the second safety threshold of the i-th structural node ≤ the comprehensive vibration safety factor of the i-th structural node ≤ the first safety threshold of the i-th structural node, it indicates that the vibration condition of the structural node is abnormal. At this time, the sampling frequency of the sensor group is increased from 100Hz to 200Hz;

[0033] When the comprehensive vibration safety factor of the i-th structural node < the second safety threshold of the i-th structural node, this triggers the execution of the linkage control mechanism;

[0034] The linkage control mechanism optimizes the wind load by starting the exterior wall adjustment device, and then adjusts the stiffness of the spring in the dynamic damper according to the current vibration frequency to keep the natural frequency of the dynamic damper consistent with the dominant vibration frequency of the building.

[0035] Preferably, the S4 includes S41;

[0036] S41. After the execution of the linkage control mechanism, construct the dynamic energy gradient before and after the linkage control mechanism, combine the non-linear damping rate after the linkage control mechanism, calculate and output the control effect index, quantitatively analyze the vibration optimization effect after the execution of the linkage control mechanism, and analyze the control effect of each structural node.

[0037] Preferably, the S5 includes S51 and S52;

[0038] S51. Calculate the building health index by comprehensively calculating the comprehensive vibration safety factor and the control effect index obtained from each structural node of the high-rise intelligent building for a long time, and analyze the overall health status of the high-rise intelligent building;

[0039] S52. Based on the design standards of high-rise intelligent buildings, set the first health threshold and the second health threshold, and then conduct a secondary comparison and evaluation of the obtained building health index with the first health threshold and the second health threshold to comprehensively analyze the overall health status of the high-rise intelligent building.

[0040] Preferably, the secondary comparison and evaluation are specifically as follows:

[0041] When the building health index > the first health threshold, it indicates that the overall health status of the high-rise intelligent building is normal, no intervention is required, and continuous monitoring is carried out;

[0042] When the second health threshold ≤ the building health index ≤ the first health threshold, it indicates that the overall health status of the high-rise intelligent building has fatigue. At this time, prompt the user to maintain the structural nodes of the high-rise intelligent building;

[0043] When the building health index < the second health threshold, it indicates that the overall health status of the high-rise intelligent building is abnormal. At this time, issue a warning through the central processing system, prompt the user to immediately maintain the structural nodes of the high-rise intelligent building, and at the same time re-adjust the stiffness of the spring in the dynamic damper based on the current adjusted vibration frequency f, and re-match the vibration frequency f until the adjustment effect is normal.

[0044] A data transmission system for intelligent buildings includes a hierarchical transmission module, a data processing module, a structural node safety analysis module, an optimization effect analysis module, and a comprehensive health analysis module;

[0045] The hierarchical transmission module installs a sensing sensor group at the structural nodes of the high-rise intelligent building to collect the vibration data of the high-rise intelligent building in real time, and uses a hierarchical transmission protocol to classify the collected vibration data;

[0046] After the classification, the data processing module compresses the classified vibration data through data compression and encoding technology to obtain a vibration data compression package, constructs a central processing system, and transmits the vibration data compression package to the central processing system through dynamic broadband allocation, and preprocesses the data compression package in the central processing system to obtain a standard vibration data set;

[0047] The structure node safety analysis module constructs a comprehensive vibration algorithm model in the central processing system, extracts the standard vibration data set and inputs it into the comprehensive vibration algorithm model for calculation to output the comprehensive vibration safety factor, sets the first safety threshold and the second safety threshold for each structure node to conduct a preliminary comparison and evaluation with the comprehensive vibration safety factor, and triggers the linkage control mechanism based on the preliminary comparison and evaluation results;

[0048] After the linkage control mechanism is executed, the optimization effect analysis module calculates and outputs the control effect index to analyze the control effect of each structure node;

[0049] After the optimization evaluation shows normal optimization, the comprehensive health analysis module comprehensively calculates the building health index of the high-rise intelligent building based on the control effect index and the real-time collected standard vibration data set. At the same time, the first health threshold and the second health threshold are set to conduct a secondary comparison and evaluation with the building health index to analyze the overall stability of the high-rise intelligent building and optimize the layout and design of the structure nodes.

[0050] A data transmission storage medium for an intelligent building, which stores a program executable by a processor. The program executable by the processor, when executed by the processor, is used to implement any one of the data transmission methods for an intelligent building.

[0051] The present invention provides a data transmission method, system and storage medium for an intelligent building, having the following beneficial effects:

[0052] (1) By installing sensing sensors at the structure nodes of the high-rise intelligent building to collect vibration data, grading the vibration data through a hierarchical transmission protocol, and combining data compression and coding technologies for transmission, the method effectively improves the collection, transmission and processing efficiency of building vibration data. By applying a comprehensive vibration algorithm model in the central processing system and combining the dynamic energy gradient, nonlinear damping rate and vibration frequency interference degree, the comprehensive vibration safety factor is calculated in real time, realizing the dynamic monitoring of the vibration safety of building structure nodes. When the vibration situation is abnormal, the method can timely trigger the linkage control mechanism to adjust the dampers and exterior wall adjustment devices of the building structure, so as to quickly respond and optimize the safety state of the building, and effectively reduce the risk of the building under external environmental changes such as wind force.

[0053] (2) By constructing a building health index and combining the long-term vibration data of structural nodes with the control effect index Ec, this method can comprehensively evaluate the overall health status of high-rise intelligent buildings. This evaluation system can monitor the health status of buildings in real time according to preset health thresholds. When the building health index is lower than the second health threshold, this method can automatically issue a warning to remind maintenance personnel to carry out maintenance work on structural nodes in a timely manner. This early warning mechanism greatly enhances the reliability and maintenance efficiency of buildings, avoids building damage caused by excessive fatigue or abnormal vibration, and extends the service life of buildings.

[0054] (3) By evaluating the health status of structural nodes in real time according to the comprehensive vibration safety factor and the control effect index in the linkage control mechanism, this method can quantitatively analyze the vibration adjustment effect. When the control effect index is lower than the expected value, it will automatically readjust the stiffness of the dynamic damper of the structural node to ensure that the vibration frequency of the structure matches the dominant vibration frequency of the building, thereby achieving optimized vibration adjustment. This technology can effectively prevent premature damage or excessive vibration of structural nodes, ensure the structural stability of buildings in various environments, improve the service performance and comfort of buildings, and reduce unnecessary maintenance costs. Description of the Drawings

[0055] Figure 1 Schematic diagram of the steps of the data transmission method for intelligent buildings of the present invention;

[0056] Figure 2 Schematic diagram of the process of the data transmission system for intelligent buildings of the present invention. Detailed Embodiments

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0058] Embodiment 1

[0059] Please refer to Figure 1 , the present invention provides a data transmission method for intelligent buildings. To achieve the above objectives, the present invention is realized through the following technical solutions, including the following steps:

[0060] S1. Install a sensing sensor group at the structural nodes of high-rise intelligent buildings, collect the vibration data of high-rise intelligent buildings in real time, and classify the collected vibration data using a hierarchical transmission protocol;

[0061] S2. After the level division, compress the vibration data after the level division through data compression and encoding technology to obtain a vibration data compression package, construct a central processing system, transmit the vibration data compression package to the central processing system through dynamic broadband allocation, and preprocess the data compression package in the central processing system to obtain a standard vibration data set;

[0062] S3. Construct a comprehensive vibration algorithm model in the central processing system, extract the standard vibration data set and input it into the comprehensive vibration algorithm model, calculate and output the comprehensive vibration safety factor Sc, set the first safety threshold F1 and the second safety threshold F2 of each structural node to conduct a preliminary comparison and evaluation with the comprehensive vibration safety factor Sc, and trigger a linkage control mechanism based on the preliminary comparison and evaluation results;

[0063] S4. After the linkage control mechanism is executed, calculate and output the control effect index Ec, and analyze the control effect of each structural node;

[0064] S5. After optimizing and evaluating to be normal, based on the control effect index Ec combined with the real-time collected standard vibration data set, comprehensively calculate the building health index Hv of the high-rise intelligent building, and at the same time set the first health threshold H1 and the second health threshold H2 to conduct a secondary comparison and evaluation with the building health index Hv, analyze the overall stability of the high-rise intelligent building, and optimize the layout and design of the structural nodes.

[0065] In this embodiment, the method installs a perception sensor group at the structural nodes of a high-rise intelligent building to collect the vibration data of the building in real time, and classifies the collected vibration data through a hierarchical transmission protocol. This process ensures the efficiency of data transmission and priority management, enabling high-risk data to be processed and transmitted in a timely manner. Then, for the vibration data after classification, data compression and encoding techniques are used for compression processing to generate a vibration data compression package, which is transmitted to the central processing system for preprocessing through dynamic broadband allocation, thereby obtaining a standard vibration data set. In the central processing system, a comprehensive vibration algorithm model is constructed, and the standard vibration data set is input into the model to calculate the comprehensive vibration safety factor Sc, which is compared and evaluated with the safety threshold of each structural node to trigger a linkage control mechanism. This mechanism ensures the safety of the building under the action of the external environment by adjusting the building's vibration control system, such as the external wall adjustment device and the dynamic damper. After the linkage control mechanism is executed, the system quantitatively analyzes the control effect of each structural node by calculating the control effect index Ec, and further optimizes the evaluation to ensure the normal vibration adjustment effect. Finally, through the control effect index Ec and the standard vibration data set collected in real time, the system calculates the building health index Hv, which is compared and evaluated again with the set health threshold to comprehensively analyze the overall stability of the high-rise intelligent building. If it is found that the building health is fatigued or abnormal, the system will issue a warning in a timely manner and provide optimization suggestions to ensure the long-term health of the building structure. Through this method, the present invention realizes the all-round real-time monitoring and intelligent optimization of high-rise intelligent buildings, improves the seismic and wind resistance capabilities of buildings, reduces unnecessary maintenance costs, optimizes building design and layout, and ensures the safety and stability of buildings during long-term use. At the same time, through the linkage control mechanism and health assessment, the system can identify and respond to potential safety hazards in a timely manner, thereby improving the comprehensive stability and operation efficiency of the building.

[0066] Embodiment 2

[0067] Specifically: S1 includes S11 and S12;

[0068] S11. At each structural node of the high-rise intelligent building, install a perception sensor group, and at the same time set the sampling frequency of the perception sensor to 100 Hz to collect the vibration data of each structural node of the high-rise intelligent building in real time;

[0069] The structural nodes include main load-bearing beams, external wall connection points, and floor spacers;

[0070] The perception sensor group includes intelligent vibration sensors and displacement sensors;

[0071] The vibration data includes vibration velocity V, vibration frequency f, and displacement d;

[0072] S12. Use a hierarchical transmission protocol to classify the vibration data at each structural node. The hierarchical transmission protocol sets the vibration threshold Zd based on the natural vibration frequency at each structural node of the high-rise intelligent building, and then compares the vibration threshold Zd with the vibration frequency f at each structural node to classify the vibration data at each structural node and transmit it to the central processing system in order according to the classified levels. The specific level classification is as follows:

[0073] When the vibration frequency f > the vibration threshold Zd, at this time, the vibration data at the current structural node is marked as the third-priority level data. The vibration data at this structural node can be aggregated and sent when resources permit, or transmitted when the system is idle;

[0074] When twice the vibration threshold Zd ≤ the vibration frequency f ≤ three times the vibration threshold Zd, at this time, the vibration data at the current structural node is marked as the second-priority level data. The vibration data at this structural node will be sent regularly and be monitored and followed up in subsequent monitoring;

[0075] When the vibration frequency f > three times the vibration threshold Zd, at this time, the vibration data at the current structural node is marked as the first-priority level data. The vibration data at this structural node is usually abnormal data that may have a significant impact on building safety and needs to be processed immediately and sent to the data center for analysis;

[0076] The transmission order of the vibration data is first-priority level data > second-priority level data > third-priority level data.

[0077] In this embodiment, the method installs a set of sensing sensors at each structural node of the high-rise intelligent building, including the main load-bearing beam, the external wall connection point, and the floor spacer. Through the intelligent vibration sensor and the displacement sensor, the vibration data of each node of the building is collected in real time. The sampling frequency of the sensing sensor is set to 100 Hz to ensure that the minute changes in vibration can be captured at a high frequency. The collected vibration data can comprehensively reflect the vibration state of the building. After the data collection is completed, a hierarchical transmission protocol is used to classify the vibration data of each structural node. By setting the vibration threshold Zd based on the natural vibration frequency of the structural node and comparing the collected vibration frequency f with the vibration threshold Zd, the data is classified into three levels according to priority: the first-priority level data, the second-priority level data, and the third-priority level data. Among them, the first-priority level data is the abnormal data that may affect the building safety and needs to be immediately transmitted to the central processing system for analysis; the second-priority level data will be regularly monitored subsequently; the third-priority level data can be transmitted with a delay when resources permit. Through this hierarchical transmission mechanism, it is ensured that the high-priority data can be transmitted in real time, the transmission delay of the high-priority data is reduced, and the network bandwidth resources are effectively allocated.

[0078] Embodiment 3

[0079] Specifically: S2 includes S21, S22, and S23;

[0080] S21. After classifying the vibration data, through data compression and encoding technology, the vibration data at all structural nodes collected is compressed by Huffman coding to obtain a vibration data compression package;

[0081] S22. After the vibration data is compressed, by using the LSTM network, a traffic prediction algorithm based on time series analysis, to predict the traffic change trend of the sensor, dynamically allocate bandwidth according to the prediction result, and give priority to ensuring the high-priority data channel; at the same time, in the information processing center of the high-rise intelligent building, a central processing system is constructed, and the vibration data compression package is transmitted to the central processing system according to the dynamically allocated bandwidth;

[0082] S23. In the central processing system, the vibration data compression package is received in real time, decompressed by a decoding tool to extract the vibration data, and after extraction, the vibration data is preprocessed, and then the preprocessed vibration data is combined and calculated to obtain a standard vibration data set;

[0083] The preprocessing includes data cleaning and normalization processing, which are used to eliminate the influence between different parameters;

[0084] The standard vibration data set includes the dynamic energy gradient Ge, the nonlinear damping rate Rd, and the vibration frequency interference degree If;

[0085] The specific algorithm formula for the dynamic energy gradient Ge is as follows: Among them, Ge i represents the dynamic energy gradient of the i-th structural node, represents the partial derivative, t represents time, represents the partial derivative with respect to time t, and m represents the mass of the structural node;

[0086] The specific algorithm formula for the non-linear damping rate Rd is as follows: Among them, Rd i represents the non-linear damping rate of the i-th structural node, -△Ge i represents the change in the vibration energy gradient of the i-th structural node, and △d represents the change in displacement;

[0087] The specific algorithm formula for the vibration frequency interference degree If is as follows: Among them, If i represents the vibration frequency interference degree of the i-th structural node, f1 represents the lower limit value of the vibration frequency, f2 represents the upper limit value of the vibration frequency, F(f) represents the spectral intensity function, which describes the energy intensity of the vibration frequency, sin represents the sine function, df represents the vibration frequency calculus variable, and π represents the pi, with a value of 3.14.

[0088] In this embodiment, the method compresses the vibration data by using Huffman coding after the vibration data is classified by level, forming a vibration data compression package. Data compression not only effectively reduces the storage requirements of the data, but also provides a more efficient data stream form for subsequent transmission. Subsequently, by using a long short-term memory (LSTM) network based on time series analysis, the flow change trend of the sensor is predicted, so as to realize the dynamic allocation of bandwidth. According to the prediction results, the channels of high-priority data are preferentially guaranteed to ensure the real-time transmission of important data, while improving the bandwidth utilization rate of the system. In the information processing center of a high-rise intelligent building, a central processing system is constructed, which receives the vibration data compression package according to the dynamically allocated bandwidth and uses a decoding tool to decompress it to extract the vibration data therein. The extracted vibration data undergoes preprocessing, and the preprocessing process includes data cleaning and normalization processing to eliminate the influence between different parameters and ensure the accuracy and consistency of the data. After preprocessing, a standard vibration data set is formed, covering key indicators such as the dynamic energy gradient Ge, the nonlinear damping rate Rd, and the vibration frequency interference degree If. Among them, the dynamic energy gradient Ge, the nonlinear damping rate Rd, and the vibration frequency interference degree If are calculated through precise algorithm formulas respectively, which can comprehensively reflect the vibration characteristics and change laws of each structural node. These standard vibration data sets provide a solid technical foundation for subsequent safety assessment and optimization. By combining data compression and prediction algorithms, the method not only improves the efficiency and accuracy of data transmission, but also ensures the timely transmission of important data through reasonable bandwidth allocation. In addition, the adopted standard vibration data set provides a scientific basis for the real-time monitoring and evaluation of building health and can effectively reflect the health status of the building structure.

[0089] Embodiment 4

[0090] Specifically: S3 includes S31 and S32;

[0091] S31. By constructing a comprehensive vibration algorithm model, the comprehensive vibration algorithm model is constructed through an exponential decay part, a damping effect adjustment part, and a vibration frequency interference adjustment part. Then, the dynamic energy gradient Ge, the nonlinear damping rate Rd, and the vibration frequency interference degree If in the standard data set of each structural node are extracted and input into the comprehensive vibration algorithm model for calculation to output a comprehensive vibration safety factor Sc, identify the structural node risks of the high-rise intelligent building, and analyze the vibration safety situation of the high-rise intelligent building under the action of wind;

[0092] The comprehensive vibration safety factor Sc is calculated and output through the following comprehensive vibration algorithm model;

[0093]

[0094] In the formula, Sc idenotes the comprehensive vibration safety factor of the i-th structural node, denotes the safety threshold of the dynamic energy gradient of the i-th structural node, where cos represents the cosine function and e represents the exponential function;

[0095] where, represents the exponentially decaying part, which is used to adjust the safety factor according to the ratio of the dynamic energy gradient Ge of the i-th structural node i to the safety threshold of the dynamic energy gradient of the i-th structural node If the dynamic energy gradient Ge of the i-th structural node i is close to or greater than i.e., the vibration intensity of the building has approached or exceeded the predetermined safety threshold, the exponential decay of this part will cause the comprehensive vibration safety factor Sc to decrease rapidly, reflecting potential safety risks;

[0096] represents the damping effect adjustment part, which takes into account the influence of the non-linear damping rate Rd of the i-th structural node i The greater the non-linear damping rate, the stronger the energy decay ability of the building structure, which has a positive effect on the safety of the building. Specifically, when the non-linear damping rate Rd of the i-th structural node i tends to a larger value, the value will become very large, making the whole expression tend to 1, which helps to increase the comprehensive vibration safety factor Sc, indicating that the damping performance of the building plays a positive role in reducing vibration;

[0097] represents the vibration frequency interference adjustment part. The influence of the vibration frequency interference degree If of the i-th structural node i is adjusted by a cosine function. Since resonance may cause serious damage to the building structure, the function is as follows: when the vibration frequency interference degree If of the i-th structural node i is relatively large, the resonance phenomenon is more serious, which will make the value of the vibration frequency interference adjustment part become smaller, thus reducing the comprehensive safety factor. If the vibration frequency interference degree If of the i-th structural node i approaches 0, that is, the frequency interference is very small, then the influence of this term is small and has no significant impact on the safety factor.

[0098] S32. Based on the simulation experiments of each different structural node, a quantitative analysis is carried out on the relationship between the comprehensive vibration safety factor Sc and the damage of the structural node. For example, in the simulation experiment, when the comprehensive vibration safety factor Sc reaches a certain value, the structural node begins to be damaged. Set the first safety threshold F1 of the i-th structural node of each structural node iand the second safety threshold F2 of the i-th structural node i , and then compare the obtained comprehensive vibration safety factor Sc with the first safety threshold F1 of the i-th structural node i and the second safety threshold F2 of the i-th structural node i for preliminary comparative evaluation, analyze the abnormal conditions of the structural nodes under the action of wind force, and trigger a linkage control mechanism based on the results of the preliminary comparative evaluation. The specific evaluation content is as follows:

[0099] When the comprehensive vibration safety factor Sc of the i-th structural node i > the first safety threshold F1 of the i-th structural node i , it indicates that the vibration condition of the structural node is normal and no intervention is required;

[0100] When the second safety threshold F2 of the i-th structural node i ≤ the comprehensive vibration safety factor Sc of the i-th structural node i ≤ the first safety threshold F1 of the i-th structural node i , it indicates that the vibration condition of the structural node is abnormal. At this time, the sampling frequency of the sensor group is increased from 100 Hz to 200 Hz;

[0101] When the comprehensive vibration safety factor Sc of the i-th structural node i < the second safety threshold F2 of the i-th structural node i , at this time, trigger the execution of the linkage control mechanism;

[0102] The linkage control mechanism optimizes the wind load by starting the external wall adjustment device, and then adjusts the stiffness of the spring in the dynamic damper according to the current vibration frequency f to keep the natural frequency of the dynamic damper consistent with the dominant vibration frequency f of the building.

[0103] In this embodiment, the method calculates the comprehensive vibration safety factor Sc of each structural node by integrating the vibration algorithm model and combining standard vibration data such as the dynamic energy gradient Ge, the non-linear damping rate Rd, and the vibration frequency interference degree If of the building structure nodes. The comprehensive vibration safety factor consists of three parts: an exponential decay part, a damping effect adjustment part, and a vibration frequency interference adjustment part. The exponential decay part is adjusted according to the ratio of the dynamic energy gradient of the node to the safety threshold, reflecting the risk when the vibration intensity approaches or exceeds the safety threshold; the damping effect adjustment part considers the influence of the non-linear damping rate. The greater the non-linear damping rate, the stronger the energy decay ability of the building structure, which helps to improve the safety factor; the vibration frequency interference part is adjusted by the cosine function for the influence of resonance. When the frequency interference degree is large, the comprehensive safety factor will be reduced, indicating a possible risk of structural damage. Based on the simulation experiments of each structural node, the relationship between the comprehensive vibration safety factor and the damage of the structural node is further quantified, and the first safety threshold F1 and the second safety threshold F2 of each structural node are set. By comparing and evaluating the comprehensive vibration safety factor with these thresholds, the vibration state of the building can be effectively judged. When the comprehensive vibration safety factor is higher than the first safety threshold F1, it indicates that the structural node is normal; when it is between the first safety threshold F1 and the second safety threshold F2, it indicates that the vibration is abnormal. At this time, the sampling frequency of the sensor is increased for more accurate monitoring; when the safety factor is lower than the second safety threshold F2, the linkage control mechanism is triggered to start the external wall adjustment device to optimize the wind load and adjust the stiffness of the dynamic damper to ensure that the vibration frequency of the building is consistent with the dominant frequency. By combining the accurate calculation of the comprehensive vibration safety factor and the dynamic control mechanism, this method not only realizes the vibration safety monitoring of high-rise intelligent buildings under the action of wind force and other external loads, but also can respond to the abnormal conditions of structural nodes in real time, automatically trigger the adjustment mechanism to optimize the vibration characteristics of the building. Through this technology, the structural safety of the building is effectively guaranteed, the vibration control ability is greatly enhanced, and the stability and long-term use safety of the building are improved.

[0104] Example 5

[0105] Specifically: S4 includes S41;

[0106] S41. After the linkage control mechanism is executed, construct the dynamic energy gradient Ge before and after the linkage control mechanism, combine the non-linear damping rate Rd after the linkage control mechanism, calculate and output the control effect index Ec, quantify the vibration optimization effect after the execution of the linkage control mechanism, and analyze the control effect of each structural node;

[0107] The control effect index Ec is calculated and output through the following algorithm formula;

[0108]

[0109] In the formula, Ec i represents the control effect index of the i-th structural node, and Ge i ’ represents the dynamic energy gradient of the i-th structural node after the adjustment of the linkage control mechanism, and Rd i ’ represents the non-linear damping rate of the i-th structural node after the adjustment of the linkage control mechanism.

[0110] In this embodiment, after the linkage control mechanism is executed, the method further constructs a control effect analysis system to quantitatively evaluate the vibration optimization effect of each structural node. The specific implementation includes calculating the control effect index Ec, which quantifies the effect of the linkage control mechanism based on the changes in the dynamic energy gradient Ge and the non-linear damping rate Rd before and after the linkage control mechanism. Through formula calculation, the control effect index Ec of each structural node is obtained i , which reflects the degree of vibration optimization of the structural node under the action of the linkage control mechanism and helps to evaluate the effectiveness of the control strategy. Through precise analysis of the vibration optimization effect, this method can not only quantify the effect of the control strategy, but also guide subsequent structural design and improvement to ensure that the building can maintain the best vibration state during actual operation. Through the optimized control effect, the seismic performance and stability of the building are further improved, which can effectively reduce the impact of vibration on the building safety and improve the overall health level of the building.

[0111] Embodiment 6

[0112] Specifically: S5 includes S51 and S52;

[0113] S51. By comprehensively calculating the comprehensive vibration safety factor Sc and the control effect index Ec obtained from each structural node of the high-rise intelligent building for a long time, the building health index Hv is output, and the overall health status of the high-rise intelligent building is analyzed;

[0114] The building health index Hv is calculated and output through the following algorithm formula;

[0115]

[0116] In the formula, N represents the total number of structural nodes.

[0117] S52. Based on the design standards of high-rise intelligent buildings, the first health threshold H1 and the second health threshold H2 are set, and then the obtained building health index Hv is compared with the first health threshold H1 and the second health threshold H2 for a second time to comprehensively analyze the overall health state of the high-rise intelligent building. The specific evaluation content is as follows:

[0118] When the building health index Hv > the first health threshold H1, it indicates that the overall health status of the high-rise intelligent building is normal, no intervention is required, and continuous monitoring is carried out;

[0119] When the second health threshold H2 ≤ the building health index Hv ≤ the first health threshold H1, it indicates that there is fatigue in the overall health status of the high-rise intelligent building. At this time, it prompts the user to maintain the structural nodes of the high-rise intelligent building, indicating that there is a certain degree of fatigue or abnormal vibration in the building, but it does not affect the safety of the overall structure. Usually, in this case, the building can still continue to be used, but regular monitoring is required, and it may be necessary to optimize the design or strengthen the local structure. It is recommended to "observe" and postpone repair or intervention unless there are external environmental factors that exacerbate this state;

[0120] When the building health index Hv < the second health threshold H2, it indicates that the overall health status of the high-rise intelligent building is abnormal. At this time, an early warning is issued through the central processing system, prompting the user to immediately maintain the structural nodes of the high-rise intelligent building. At the same time, the stiffness of the spring in the dynamic damper is adjusted again based on the current adjusted vibration frequency f to re-match the vibration frequency f until the adjustment effect is normal.

[0121] In this embodiment, the method constructs a building health index Hv evaluation system by comprehensively analyzing the comprehensive vibration safety factor Sc and control effect index Ec of each structural node, and is used to monitor and evaluate the overall health status of the high-rise intelligent building in real time. The building health index Hv quantifies the overall vibration health level of the building by summarizing and calculating the data of all structural nodes, providing a scientific basis for the long-term safety and stability of the building. Based on the long-term monitored comprehensive vibration safety factor Sc and control effect index Ec, the building health index Hv is obtained. This index not only considers the vibration response of the structural nodes, but also combines the improvement of the control effect to comprehensively evaluate the overall health status of the building. On this basis, the first health threshold H1 and the second health threshold H2 are set to evaluate the health status of the building. This method can timely discover and handle potential risks through accurate building health assessment, avoiding the lag of traditional inspection methods, and providing an intelligent decision support system based on real-time data. By dynamically adjusting the building's vibration control system and combining fine adjustment of the vibration frequency, it not only improves the safety of the building, but also effectively extends the service life of the building, reduces the maintenance cost, and improves the overall stability and seismic resistance of the high-rise intelligent building.

[0122] Embodiment 7

[0123] Please refer to Figure 1 and Figure 2, a data transmission system for intelligent buildings, including a hierarchical transmission module, a data processing module, a structural node safety analysis module, an optimization effect analysis module, and a comprehensive health analysis module;

[0124] The hierarchical transmission module installs a sensing sensor group at the structural nodes of high-rise intelligent buildings to collect vibration data of high-rise intelligent buildings in real time, and uses a hierarchical transmission protocol to classify the collected vibration data;

[0125] The data processing module is used to compress the vibration data after classification through data compression and encoding technology after classification, obtain a vibration data compression package, and construct a central processing system, and transmit the vibration data compression package to the central processing system through dynamic broadband allocation, and preprocess the data compression package in the central processing system to obtain a standard vibration data set;

[0126] The structural node safety analysis module is used to construct a comprehensive vibration algorithm model in the central processing system, extract the standard vibration data set and input it into the comprehensive vibration algorithm model, calculate and output the comprehensive vibration safety factor Sc, and set the first safety threshold F1 and the second safety threshold F2 of each structural node to conduct a preliminary comparison and evaluation with the comprehensive vibration safety factor Sc, and trigger a linkage control mechanism based on the preliminary comparison and evaluation results;

[0127] The optimization effect analysis module is used to calculate and output the control effect index Ec after the linkage control mechanism is executed, and analyze the control effect of each structural node;

[0128] The comprehensive health analysis module is used to comprehensively calculate the building health index Hv of the high-rise intelligent building based on the control effect index Ec combined with the standard vibration data set collected in real time after the optimization is evaluated as normal, and at the same time set the first health threshold H1 and the second health threshold H2 to conduct a secondary comparison and evaluation with the building health index Hv, analyze the overall stability of the high-rise intelligent building, and optimize the layout and design of the structural nodes.

[0129] Embodiment 8

[0130] A data transmission storage medium for intelligent buildings, which stores a program executable by a processor, and the program executable by the processor is used to implement any one of the data transmission methods for intelligent buildings when executed by the processor.

[0131] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention.

Claims

1. A data transmission method for a smart building, characterized in that: The following steps are involved: S1. Install a sensor group at the structural nodes of a high-rise smart building to collect vibration data of the high-rise smart building in real time, and use a layered transmission protocol to classify the collected vibration data; S2. After the classification, the vibration data after the classification is compressed by using data compression and encoding technology to obtain a vibration data compression package, and a central processing system is constructed. The vibration data compression package is transmitted to the central processing system through dynamic broadband allocation, and the data compression package is pre-processed in the central processing system to obtain a standard vibration data set; S3. Construct a comprehensive vibration algorithm model in the central processing system, extract a standard vibration data set and input it into the comprehensive vibration algorithm model, calculate and output a comprehensive vibration safety factor, set a first safety threshold and a second safety threshold of each structural node and perform a preliminary comparative evaluation with the comprehensive vibration safety factor, and trigger a linkage control mechanism based on the preliminary comparative evaluation results; S4. After the linkage control mechanism is executed, the output control effect index is calculated to analyze the control effect of each structural node; S5. After the optimization evaluation shows that the optimization is normal, the building health index of the high-rise smart building is comprehensively calculated based on the control effect index combined with the standard vibration data set collected in real time. At the same time, the first health threshold and the second health threshold are set to conduct a secondary comparative evaluation with the building health index to analyze the overall stability of the high-rise smart building and optimize the layout and design of the structural nodes.

2. The data transmission method for smart buildings according to claim 1, characterized in that: Said S1 includes S11 and S12; S11. Install a sensor group at each structural node of the high-rise smart building, and set the sampling frequency of the sensor to 100 Hz to collect vibration data of each structural node of the high-rise smart building in real time; The structural nodes include main load-bearing beams, exterior wall connection points and floor partitions; The sensing sensor group includes an intelligent vibration sensor and a displacement sensor; The vibration data includes vibration velocity, vibration frequency and displacement; S12. Use a hierarchical transmission protocol to classify the vibration data at each structural node. The hierarchical transmission protocol sets a vibration threshold based on the natural vibration frequency at each structural node of the high-rise smart building, and then compares the vibration threshold with the vibration frequency at each structural node, classifies the vibration data at each structural node, and transmits the data to the central processing system in order according to the divided levels. The specific classification is as follows: When the vibration frequency is greater than the vibration threshold, the vibration data at the current structural node is marked as the third priority data; When two times of the vibration threshold ≤ vibration frequency ≤ three times of the vibration threshold, the vibration data at the current structural node is marked as the second priority level data; When the vibration frequency is greater than three times the vibration threshold, the vibration data at the current structural node is marked as the first priority data; The transmission order of vibration data is first priority data>second priority data>third priority data.

3. The data transmission method for smart buildings according to claim 2, characterized in that: The S2 includes S21, S22 and S23; S21. After the vibration data is graded, the collected vibration data at all structural nodes are compressed using Huffman coding through data compression and coding technology to obtain a vibration data compression package; S22. After compressing the vibration data, the flow change trend of the sensor is predicted by using the LSTM network, a flow prediction algorithm based on time series analysis, and bandwidth is dynamically allocated according to the prediction results; at the same time, a central processing system is built in the information processing center of the high-rise smart building, and the vibration data compression package is transmitted to the central processing system according to the dynamically allocated bandwidth; S23, receiving a vibration data compression package in real time in the central processing system, decompressing the compression package through a decoding tool, extracting the vibration data, and preprocessing the vibration data after extraction, and then combining and calculating the preprocessed vibration data to obtain a standard vibration data set; The preprocessing includes data cleaning and normalization processing, which is used to eliminate the influence between different parameters; The standard vibration data set includes dynamic energy gradient, nonlinear damping rate and vibration frequency disturbance.

4. The data transmission method for smart buildings according to claim 3, characterized in that: The S3 includes S31 and S32; S31. By constructing a comprehensive vibration algorithm model, the comprehensive vibration algorithm model is constructed by an exponential decay part, a damping effect adjustment part, and a vibration frequency interference adjustment part, and then extracting the dynamic energy gradient, nonlinear damping rate, and vibration frequency interference degree in the standard data set of each structural node, inputting them into the comprehensive vibration algorithm model, calculating and outputting a comprehensive vibration safety factor, identifying the structural node risks of high-rise smart buildings, and analyzing the vibration safety of high-rise smart buildings under wind action; S32. Based on the simulation experiments of each different structural node, the relationship between the comprehensive vibration safety factor and the damage of the structural node is quantitatively analyzed, and the first safety threshold of the ith structural node and the second safety threshold of the ith structural node are set for each structural node. A preliminary comparative evaluation is performed on the obtained comprehensive vibration safety factor and the first safety threshold of the ith structural node and the second safety threshold of the ith structural node, the abnormal conditions of the structural nodes under the action of wind are analyzed, and the linkage control mechanism is triggered based on the preliminary comparative evaluation results.

5. The data transmission method for smart buildings according to claim 4, characterized in that: In S32, the preliminary comparative evaluation is specifically as follows: When the comprehensive vibration safety factor of the i-th structural node is greater than the first safety threshold of the i-th structural node, it means that the vibration of the structural node is normal and no intervention is required; When the second safety threshold of the i-th structural node ≤ the comprehensive vibration safety factor of the i-th structural node ≤ the first safety threshold of the i-th structural node, it means that the vibration of the structural node is abnormal. At this time, the sampling frequency of the sensor group is increased from 100Hz to 200Hz; When the comprehensive vibration safety factor of the i-th structural node is less than the second safety threshold of the i-th structural node, the linkage control mechanism is triggered; The linkage control mechanism optimizes the wind load by starting the exterior wall adjustment device, and then adjusts the stiffness of the spring in the dynamic damper according to the current vibration frequency to keep the natural frequency of the dynamic damper consistent with the dominant vibration frequency of the building.

6. The data transmission method for smart buildings according to claim 1, characterized in that: The S4 includes S41; S41. After the linkage control mechanism is executed, a dynamic energy gradient before and after the linkage control mechanism is constructed, and the nonlinear damping rate after the linkage control mechanism is combined to calculate the output control effect index, quantify the vibration optimization effect after the linkage control mechanism is executed, and analyze the control effect of each structural node.

7. The data transmission method for smart buildings according to claim 1, characterized in that: The S5 includes S51 and S52; S51, comprehensively calculating and outputting the building health index by the comprehensive vibration safety factor and the control effect index obtained for a long time from each structural node of the high-rise smart building, and analyzing the overall health status of the high-rise smart building; S52. Based on the design standard of high-rise smart buildings, a first health threshold and a second health threshold are set, and then the obtained building health index is subjected to a secondary comparative evaluation with the first health threshold and the second health threshold to comprehensively analyze the overall health status of the high-rise smart building.

8. The data transmission method for smart buildings according to claim 6, characterized in that: In S52, the secondary comparative evaluation is specifically as follows: When the building health index is greater than the first health threshold, it indicates that the overall health status of the high-rise smart building is normal and no intervention is required, and continuous monitoring is required; When the second health threshold ≤ building health index ≤ first health threshold, it indicates that the overall health status of the high-rise smart building is fatigued, and the user is prompted to maintain the structural nodes of the high-rise smart building; When the building health index is less than the second health threshold, it indicates that the overall health status of the high-rise smart building is abnormal. At this time, an early warning is issued through the central processing system, prompting the user to immediately maintain the structural nodes of the high-rise smart building, and at the same time, re-adjust the stiffness of the spring in the dynamic damper based on the currently adjusted vibration frequency f, and re-match the vibration frequency f until the adjustment effect is normal.

9. A data transmission system for smart buildings, applied to the data transmission method for smart buildings according to any one of claims 1 to 8, characterized in that: include: Hierarchical transmission module, data processing module, structural node safety analysis module, optimization effect analysis module and comprehensive health analysis module; The hierarchical transmission module collects vibration data of high-rise smart buildings in real time by installing a sensor group at the structural nodes of the high-rise smart buildings, and uses a hierarchical transmission protocol to classify the collected vibration data; The data processing module compresses the vibration data after the classification by using data compression and encoding technology, obtains a vibration data compression package, and builds a central processing system, transmits the vibration data compression package to the central processing system through dynamic broadband allocation, and pre-processes the data compression package in the central processing system to obtain a standard vibration data set; The structural node safety analysis module constructs a comprehensive vibration algorithm model in the central processing system, extracts a standard vibration data set and inputs it into the comprehensive vibration algorithm model to calculate and output a comprehensive vibration safety factor, and sets a first safety threshold and a second safety threshold of each structural node to perform a preliminary comparative evaluation with the comprehensive vibration safety factor, and triggers a linkage control mechanism based on the preliminary comparative evaluation results; The optimization effect analysis module calculates the output control effect index after the linkage control mechanism is executed, and analyzes the control effect of each structural node; After the optimization evaluation shows that the optimization is normal, the comprehensive health analysis module comprehensively calculates the building health index of the high-rise smart building based on the control effect index combined with the standard vibration data set collected in real time, and sets the first health threshold and the second health threshold to conduct a secondary comparative evaluation with the building health index, analyze the overall stability of the high-rise smart building, and optimize the layout and design of the structural nodes.

10. A data transmission storage medium for a smart building, wherein a program executable by a processor is stored, characterized in that: The processor-executable program is used to implement the data transmission method for smart buildings as described in any one of claims 1 to 8 when executed by the processor.

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