Building safety performance evaluation method and system

Abstract

The invention relates to the technical field of building safety evaluation, in particular to a building safety performance evaluation method and system, and the method comprises the following steps: collecting the displacement and acceleration data of a building, measuring and checking the quality of the data in real time through an optical fiber sensor, and analyzing and recording the change of the data in combination with a time sequence to obtain real-time monitoring data. According to the method, the real-time performance and accuracy of building safety performance evaluation are remarkably improved by monitoring the displacement and acceleration data of the building in real time and analyzing and recording data changes in combination with a time sequence, potential safety hazards can be found in the early stage by recognizing abnormal modes and potential weaknesses of the building structure, and the safety performance of the building is improved. Through quantitative evaluation of the risk area, the capability of resisting natural and human threats of the building is enhanced, important reference data is provided for future design and construction, and scientificity and advancement of building safety evaluation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building safety assessment, and in particular to a building safety performance assessment method and system. Background Art

[0002] The field of building safety assessment technology focuses on analyzing and evaluating the safety performance of buildings during design, construction and use, including the evaluation of the physical and mechanical properties of building structures to ensure that the structure can maintain safety and functional integrity under normal use conditions and various extreme situations (such as earthquakes, storms, fires, etc.). The assessment method involves static and dynamic structural analysis, material fatigue testing, and long-term follow-up observation of the durability and reliability of various parts of the building. Building safety assessment also emphasizes the formulation of preventive measures and improvement measures to enhance the resistance of buildings to natural and man-made threats.

[0003] Among them, the building safety performance assessment method refers to a set of specific technologies or procedures that aim to evaluate the safety performance of buildings through a systematic approach, involving the use of advanced technologies and tools, such as digital simulation, physical testing, and building information modeling (BIM) technology, to identify weaknesses that threaten the safety of building structures. Its main purpose is to help architectural designers, engineers, and maintenance managers understand the safety status of buildings in their current state, formulate corresponding reinforcement and improvement measures, and provide reference for future design and construction, which can significantly improve the safety of buildings, reduce the risk of accidents, and ensure the safety of people and property.

[0004] Existing building safety assessment technologies mainly rely on traditional methods such as static and dynamic structural analysis, material fatigue testing and long-term observation. Although they have been widely used in history, they are obviously insufficient in real-time data processing and immediate response capabilities in extreme situations. Especially in extreme natural events such as earthquakes and storms, key data cannot be captured in real time, resulting in the assessment results lagging behind actual needs and failing to provide effective support for rapid response in emergencies. Traditional assessment methods also often show limitations in data integration and processing, such as low data update frequency and difficulty in achieving comprehensive real-time monitoring, which directly affect the comprehensiveness and accuracy of the assessment and fail to provide necessary safety guarantees at critical moments. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a building safety performance evaluation method and system.

[0006] In order to achieve the above object, the present invention adopts the following technical solution, a building safety performance evaluation method, comprising the following steps:

[0007] S1: Collect displacement and acceleration data of buildings, use fiber optic sensors to measure in real time, check the quality of data, combine time series analysis and record data changes to obtain real-time monitoring data;

[0008] S2: using the real-time monitoring data, optimizing the damping of the building and the mechanical response of the supporting structure, adjusting and matching the external and internal load changes in real time, and obtaining an adjustment response record;

[0009] S3: identifying the response characteristics of the building under extreme weather and earthquake conditions according to the adjustment response record, evaluating the safety performance of the building, configuring an emergency mode, and establishing an emergency response strategy;

[0010] S4: Implement the emergency response strategy, conduct recursive pattern analysis on the building structure, evaluate the frequency and influence of repeated patterns through relationship diagrams and node analysis, identify abnormal patterns and potential weaknesses, and obtain structural behavior patterns;

[0011] S5: Based on the structural behavior pattern, quantitatively evaluate the risk area, compare and analyze the standard design data and the real-time performance of the building, and generate potential risk identification results by calculating deviations and potential risk points;

[0012] S6: Calculate the entropy value of the building structure through the potential risk identification results, analyze the changing trend of the entropy value over time, identify the degradation and damage of the building safety performance structure, and obtain the health status assessment results.

[0013] As a further solution of the present invention, the real-time monitoring data includes time stamps, amplitudes and frequency changes of the data, the adjustment response records include response time, changes in mechanical properties and the degree of matching with load changes, the emergency response strategy includes the safety performance assessment results of the building under extreme weather and earthquake conditions and the configuration of the emergency mode, the structural behavior pattern includes repeated loading response patterns, abnormal structural behavior and potential structural weaknesses, the potential risk identification results include structural deviation values, key risk points and potential damage areas, the health status assessment results include time series analysis of entropy values, and trend identification of building structural degradation and damage.

[0014] As a further solution of the present invention, the steps of collecting displacement and acceleration data of the building, measuring in real time using optical fiber sensors, checking the quality of the data, combining time series analysis and recording data changes, and obtaining real-time monitoring data are as follows:

[0015] S101: Collect displacement and acceleration data of buildings, deploy fiber optic sensors at key points of the building structure, including columns, beams and foundations, extract information from key areas of structural performance, and generate raw monitoring data;

[0016] S102: Based on the original monitoring data, perform data quality inspection, eliminate noise and errors, adjust the sensitivity of the optical fiber sensor and the data collection frequency, check the consistency of the data, and obtain corrected data;

[0017] S103: Using the corrected data, record and analyze the changing trend of the data, including periodic changes and emergency response, and identify the behavioral characteristics of the building under differentiated conditions by analyzing the time series of the data to obtain real-time monitoring data.

[0018] As a further solution of the present invention, the real-time monitoring data is used to optimize the damping of the building and the mechanical response of the supporting structure, and the external and internal load changes are adjusted in real time to match the changes. The steps of obtaining the adjusted response record are specifically as follows:

[0019] S201: Evaluate the structural behavior of the building according to the real-time monitoring data, identify key load points and pressure distribution, identify the damping and support structure positions that need to be optimized, and generate structural behavior evaluation results;

[0020] S202: Based on the structural behavior assessment result, the required damping adjustment amount and support strength are calculated, the structural parameters of the building are adjusted to match the detected load changes, the structural response is checked to match the real-time load, and a parameter adjustment record is generated;

[0021] S203: Using the parameter adjustment record, monitoring the response effect of the adjusted structure, tracking the performance of the damping and support structure, verifying that the adjustment effect matches the expected degree, evaluating the complete adjustment effect, and obtaining an adjustment response record.

[0022] As a further solution of the present invention, according to the adjustment response record, the response characteristics of the building under extreme weather and earthquake conditions are identified, the safety performance of the building is evaluated, and the emergency mode is configured, and the steps of establishing an emergency response strategy are specifically as follows:

[0023] S301: Analyze the adjustment response records, identify data in emergency situations of extreme weather and earthquakes, calibrate key performance indicators, including displacement and stress responses, identify the behavior of the building structure under high pressure, and generate key performance data;

[0024] S302: Based on the key performance data, conduct a safety performance assessment of the building, analyze the safety level of the building by comparing with industry safety standards, identify potential risk points, and generate a safety assessment result;

[0025] S303: According to the safety assessment results, emergency measures such as automatic damping adjustment and support reinforcement are configured. If an extreme event is detected, emergency measures are automatically initiated to optimize the safety performance of the building and establish an emergency response strategy.

[0026] As a further solution of the present invention, the steps of implementing the emergency response strategy, performing recursive pattern analysis on the building structure, evaluating the frequency and influence of repeated patterns through relationship graphs and node analysis, identifying abnormal patterns and potential weaknesses, and obtaining the structural behavior pattern are specifically as follows:

[0027] S401: Implement the emergency response strategy to monitor the safety performance structure of the building in real time, including collecting structural response data of the building during warning weather and earthquake activities to generate target monitoring data;

[0028] S402: Based on the target monitoring data, a relationship diagram of the structural behavior is constructed, and repeated behavior patterns and influences in the building safety performance structure are evaluated through node and edge analysis, stress distribution and displacement patterns are identified, and pattern analysis results are generated;

[0029] S403: Using the pattern analysis results, abnormal pattern detection is performed to identify structural responses that deviate from normal behavior patterns, identify potential weaknesses and failure causes of the building safety performance structure, and obtain a structural behavior pattern.

[0030] As a further solution of the present invention, based on the structural behavior pattern, a quantitative assessment of the risk area is performed, and the standard design data and the real-time performance of the building are compared and analyzed. By calculating the deviations and potential risk points, the steps of generating potential risk identification results are specifically as follows:

[0031] S501: using the structural behavior model, quantitatively evaluating the key areas of the building safety performance structure, identifying the areas subject to stress and displacement, marking them as risk points, and generating risk area data;

[0032] S502: Based on the risk area data, compare the design parameters of the building with the real-time monitoring results, calculate the deviation between the design parameters and the real-time monitoring results, analyze the difference between the real-time performance and the design standard, and generate a deviation analysis result;

[0033] S503: Using the deviation analysis results, iteratively analyze and calculate potential risk points in the building safety performance structure, including stress concentration and structural fatigue signs, and extract key information to obtain potential risk identification results.

[0034] As a further solution of the present invention, the entropy value of the building structure is calculated through the potential risk identification result, and the change trend of the entropy value over time is analyzed to identify the degradation and damage of the building safety performance structure. The steps of obtaining the health status assessment result are specifically as follows:

[0035] S601: using the potential risk identification result, using the Monte Carlo method, quantitatively analyzing the building safety performance structure, analyzing the overall stability of the building safety performance structure by calculating the entropy value of the structure, and generating initialization entropy value data;

[0036] S602: Based on the initialized entropy value data, analyzing the change trend of the entropy value over time, identifying the fluctuation of the entropy value of the building safety performance structure by analyzing the time series, recording the change of the structural stability, and generating the entropy value trend analysis result;

[0037] S603: Using the entropy trend analysis results, identify the degradation and damage development trends in the building safety performance structure, identify and analyze safety hazards and problem areas that need to be addressed as a priority, and obtain health status assessment results.

[0038] As a further solution of the present invention, the formula of the Monte Carlo method is as follows:

[0039]

[0040] Among them, H is the weighted entropy value, p i is the probability of the state, w i is the weight coefficient of state i, β is the risk adjustment coefficient, f j is the weight of the risk factor, d j is the distance measure of risk factors, n is the total number of states, and m is the total number of risk factors.

[0041] A building safety performance evaluation system, the building safety performance evaluation system is used to perform the above-mentioned building safety performance evaluation method, the system comprises:

[0042] The data collection module collects building displacement and acceleration data, uses optical fiber sensors to measure data in real time, combines time series analysis, records data changes, and obtains real-time monitoring data;

[0043] The data processing module analyzes the mechanical characteristics of the data based on the real-time monitoring data, adjusts the damping and support structure of the building in real time, matches the changes in external and internal loads, and obtains adjustment response records;

[0044] The strategy building module evaluates the response characteristics of the building under extreme weather and earthquake conditions through the adjustment response record, builds an emergency mode, and establishes an emergency response strategy;

[0045] The pattern recognition module executes the emergency response strategy, performs recursive pattern analysis on the building structure, analyzes and evaluates the frequency and influence of differentiated patterns, identifies abnormal patterns, and generates structural behavior patterns;

[0046] The risk assessment module conducts quantitative assessment of risk areas through the structural behavior pattern, compares and analyzes standard design data and real-time performance of buildings, calculates the entropy value of the building structure, and records changes in structural stability to obtain health status assessment results.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, by using optical fiber sensors to monitor the displacement and acceleration data of buildings in real time, combined with a method of recording data changes through time series analysis, the real-time and accuracy of building safety performance assessments are significantly improved. Real-time monitoring data enables safety assessments to respond to the actual state of the building in a timely manner, effectively optimize the damping and support structures of the building, match internal and external load changes, and ensure structural stability under extreme conditions. By identifying abnormal patterns and potential weaknesses in building structures through recursive pattern analysis and relationship graph node analysis, potential safety hazards can be discovered at an early stage and the risk of accidents can be reduced. Through quantitative assessment of risk areas and comparative analysis of design data and real-time performance, not only can the building's ability to resist natural and man-made threats be enhanced, but it can also provide important reference data for future design and construction, and improve the scientificity and advancement of building safety assessments. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0050] Figure 2 This is a detailed flow chart of S1 of the present invention;

[0051] Figure 3 This is a detailed flow chart of S2 of the present invention;

[0052] Figure 4 This is a detailed flow chart of S3 of the present invention;

[0053] Figure 5 This is a detailed flow chart of S4 of the present invention;

[0054] Figure 6 This is a detailed flow chart of S5 of the present invention;

[0055] Figure 7 This is a detailed flow chart of S6 of the present invention;

[0056] Figure 8 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0059] See also Figure 1 The present invention provides a technical solution, a method for evaluating building safety performance, comprising the following steps:

[0060] S1: Collect displacement and acceleration data of buildings, use fiber optic sensors to measure in real time, check the quality of data, combine time series analysis and record data changes to obtain real-time monitoring data;

[0061] S2: Using real-time monitoring data, by adjusting the proportional, integral and differential parameters of the controller, the damping of the building and the mechanical response of the supporting structure are optimized, and the external and internal load changes are adjusted in real time to obtain the adjusted response record;

[0062] S3: Based on the adjusted response records, identify the response characteristics of buildings under extreme weather and earthquake conditions, evaluate the safety performance of buildings by adjusting damping and stiffness, configure emergency modes to optimize the disaster resistance of building structures, and establish emergency response strategies;

[0063] S4: Implement emergency response strategies, perform recursive pattern analysis on building structures, extract repetitive patterns from structural response data, evaluate the frequency and influence of repetitive patterns through relationship diagrams and node analysis, identify abnormal patterns and potential weaknesses, and obtain structural behavior patterns;

[0064] S5: Based on the structural behavior pattern, quantitative assessment of risk areas is carried out, and standard design data and real-time performance of buildings are compared and analyzed. By calculating deviations and potential risk points, the stability and safety of the structure are evaluated, and potential risk identification results are generated;

[0065] S6: Based on the potential risk identification results, the entropy value of the building structure is calculated, and the changing trend of the entropy value over time is analyzed to identify the degradation and damage of the building safety performance structure and obtain the health status assessment results.

[0066] Real-time monitoring data includes the time stamp, amplitude and frequency changes of the data. Adjustment response records include response time, changes in mechanical properties and the degree of matching with load changes. Emergency response strategies include safety performance assessment results of buildings under extreme weather and earthquake conditions and configuration of emergency modes. Structural behavior patterns include repeated loading response patterns, abnormal structural behaviors and potential structural weaknesses. Potential risk identification results include structural deviation values, key risk points and potential damage areas. Health status assessment results include time series analysis of entropy values ​​and trend identification of building structural degradation and damage.

[0067] See also Figure 2 , collect the displacement and acceleration data of the building, use the fiber optic sensor to measure in real time, check the quality of the data, combine time series analysis and record the changes in data, and obtain the real-time monitoring data in the following steps:

[0068] S101: Collect displacement and acceleration data of the building, deploy fiber optic sensors at key points of the building structure, including columns, beams and foundations, extract information from key areas of structural performance, and generate raw monitoring data. The execution process is as follows;

[0069] The S101 sub-step collects displacement and acceleration data of the building to evaluate the structural safety and performance. The system deploys fiber optic sensors at key points of the building structure, including columns, beams, and foundations. Fiber optic sensors are particularly suitable for data collection in key areas due to their high sensitivity and accuracy. Through the sensors, the system extracts displacement and acceleration information from key areas of the building's structural performance to form raw monitoring data using the formula:

[0070]

[0071] Among them, D original Represents the sum of the original monitoring data, a i is the acceleration measurement value of the ith sensor, d i is the corresponding displacement measurement and n is the total number of sensors.

[0072] S102: Based on the original monitoring data, perform data quality inspection, eliminate noise and errors, adjust the sensitivity of the optical fiber sensor and the data collection frequency, check the consistency of the data, and obtain the execution process of the corrected data as follows;

[0073] Sub-step S102 performs quality inspection based on the original monitoring data, and systematically eliminates noise and errors in the data, involving filtering and statistical analysis of the data to remove non-structural vibrations and environmental interference. Adjust the sensitivity of the fiber optic sensor and the data collection frequency to ensure the accuracy and consistency of the data, and obtain the corrected data using the formula:

[0074]

[0075] Among them, D corrected represents the corrected data, d i is the original data value before correction, is the mean of the original data and n is the total number of data points.

[0076] S103: Using the corrected data, record and analyze the changing trend of the data, including periodic changes and emergency response, and identify the behavioral characteristics of the building under differentiated conditions by analyzing the time series of the data. The execution process of obtaining real-time monitoring data is as follows;

[0077] Substep S103 uses the corrected data to record and analyze the data change trend, monitor and analyze the periodic changes of the data and the response to emergencies, which is crucial for evaluating the response of buildings to natural disasters such as earthquakes or strong winds. By performing time series analysis on the data, the system identifies the behavioral characteristics of the building under different environmental and load conditions and obtains real-time monitoring data, using the formula:

[0078]

[0079] Among them, T trend Indicates the trend of data change, v t is the measured value at time t, is the average of all measurements, is the average of the time points, and T is the total number of time points.

[0080] See also Figure 3 , using real-time monitoring data, optimizing the mechanical response of the building's damping and supporting structure, and adjusting in real time to match external and internal load changes. The specific steps for obtaining the adjusted response record are:

[0081] S201: Based on the real-time monitoring data, the structural behavior of the building is evaluated, key load points and pressure distribution are identified, and the damping and support structure locations that need to be optimized are identified. The execution process of generating the structural behavior evaluation results is as follows;

[0082] Substep S201 evaluates the structural behavior of the building based on real-time monitoring data, with a particular focus on key load points and pressure distribution. The data collected from key structural points will be analyzed to identify areas that are subject to the greatest pressure. Through the data, weak points and overstressed areas in the structure can be identified as potential risk points that require special attention or reinforcement. Areas that require optimization of damping and support structure locations will also be identified to improve the building's ability to respond to dynamic loads, generating structural behavior assessment results using the formula:

[0083]

[0084] Among them, B eval represents the structural behavior evaluation result, p i is the pressure at the ith measuring point, a i is the stress coefficient, A is the affected area, and n is the total number of measurement points.

[0085] S202: Based on the structural behavior assessment results, the required damping adjustment amount and support strength are calculated, the structural parameters of the building are adjusted to match the detected load changes, the structural response is checked to match the real-time load, and the execution process of generating the parameter adjustment record is as follows;

[0086] Substep S202 calculates the required damping adjustment and support strength based on the structural behavior assessment results, which involves calculating the ideal response state of each structural component under different load conditions through dynamic analysis and simulation techniques. The structural parameters of the building, such as damping ratio and support stiffness, will be adjusted according to the detected load changes to match the actual structural response requirements. The adjustment ensures that the building structure maintains performance and safety under changing environmental and load conditions, and generates parameter adjustment records using the formula:

[0087]

[0088] Among them, P adjust Indicates parameter adjustment record, d j is the adjustment amount of the jth structural component, l j is the load factor of the component, L is the total load, and m is the total number of components.

[0089] S203: Using the parameter adjustment record, monitoring the response effect of the adjusted structure, tracking the performance of the damping and support structure, verifying the matching degree between the adjustment effect and the expected degree, evaluating the complete adjustment effect, and obtaining the adjustment response record. The execution process is as follows;

[0090] Sub-step S203 uses the parameter adjustment record to monitor the response effect of the adjusted structure, track the performance of the damping and support structure, and analyze whether the actual response after adjustment is consistent with expectations. The effectiveness of the adjustment measures is evaluated through regular structural performance testing and real-time data analysis. This includes monitoring the performance of the structure under various loads and environmental conditions to ensure that the adjustment measures bring the expected improvement effect and obtain the adjustment response record. The formula used is:

[0091]

[0092] Among them, R response Represents the adjusted response record, r k is the adjusted response value of the kth structural component, R k is the expected response value and K is the total number of components.

[0093] See also Figure 4 , based on the adjusted response records, identify the building response characteristics under extreme weather and earthquake conditions, evaluate the building's safety performance, and configure the emergency mode. The specific steps for establishing an emergency response strategy are:

[0094] S301: Analyze and adjust response records, identify data in emergency situations of extreme weather and earthquakes, calibrate key performance indicators, including displacement and stress responses, identify the behavior of building structures under high pressure, and generate key performance data. The execution process is as follows;

[0095] Sub-step S301 analyzes and adjusts the response records, paying special attention to data in emergency situations such as extreme weather and earthquakes. Data points related to extreme events are selected from batches of monitoring data, such as high stress response during earthquakes or displacement data during strong winds. Key performance indicators are calibrated, such as displacement, stress response speed, and duration. The indicators reflect the behavioral characteristics of the building structure under high pressure and generate key performance data using the formula:

[0096]

[0097] Among them, K performance Indicates key performance data, β i is the weight coefficient of the ith event, s i is the stress response value, u i is the displacement and n is the total number of events.

[0098] S302: Based on the key performance data, the building's safety performance is evaluated. By comparing the industry safety standards, the building's safety level is analyzed, and potential risk points are identified. The execution process of generating the safety evaluation results is as follows;

[0099] Sub-step S302 is based on key performance data. Based on key performance data, the safety level of the building is analyzed by comparing industry safety standards, such as earthquake safety performance level and wind load standards. Potential risk points in the building structure, such as safety hazards caused by material fatigue or insufficient design, will be identified. A detailed report on the overall safety status of the building will be provided to help decision makers take appropriate maintenance or reinforcement measures and generate safety assessment results. The formula used is:

[0100]

[0101] Among them, S assessment represents the safety assessment result, α j is the risk factor of the j-th risk point, r j is the response indicator of the risk point, R is the benchmark indicator of risk response, and m is the total number of risk points.

[0102] S303: Based on the safety assessment results, emergency measures such as automatic damping adjustment and support reinforcement are configured. If an extreme event is detected, emergency measures are automatically initiated to optimize the safety performance of the building. The execution process of establishing an emergency response strategy is as follows;

[0103] Substep S303 sets a set of response mechanisms based on the safety assessment results, automatic damping adjustment and emergency measures for support reinforcement, so that they can be automatically activated when extreme events are detected. This includes enhancing the responsiveness of the damping system and reinforcing key support structures to optimize the safety performance of the building, so that the building can quickly adjust its structural behavior in the event of a natural disaster to minimize damage, and establish an emergency response strategy using the formula:

[0104]

[0105] Among them, E response represents the effect of emergency response strategy, γ k is the efficiency coefficient of the kth adjustment measure, δ k is the adjustment depth of the measure and p is the total number of measures.

[0106] See also Figure 5 , implement emergency response strategies, conduct recursive pattern analysis on building structures, evaluate the frequency and influence of repeated patterns through relationship diagrams and node analysis, identify abnormal patterns and potential weaknesses, and obtain the structural behavior pattern in the following steps:

[0107] S401: Implement emergency response strategies and monitor building safety performance structures in real time, including collecting structural response data of buildings during early warning weather and earthquake activities, and generating target monitoring data. The execution process is as follows;

[0108] Sub-step S401 implements emergency response strategies, monitors the safety performance structure of buildings in real time during warning weather and seismic activities, and deploys high-precision monitoring equipment, such as accelerometers and displacement sensors, to collect key data on the response of buildings. The monitoring equipment can record the structural response of buildings under different environmental pressures in real time, such as displacement, vibration frequency, and stress changes, which is the basis for understanding the performance of buildings under actual environmental conditions and is used for further analysis and safety assessment to generate target monitoring data. The formula used is:

[0109]

[0110] Among them, M data represents the target monitoring data, θ i is the sensitivity coefficient of the ith sensor, v i is the vibration data, s i is the stress data, and n is the number of sensors.

[0111] S402: Based on the target monitoring data, a relationship diagram of the structural behavior is constructed, and the repetitive behavior patterns and influences in the building safety performance structure are evaluated through the analysis of nodes and edges, and the stress distribution and displacement patterns are identified. The execution process of generating the pattern analysis results is as follows;

[0112] Substep S402 constructs a relationship diagram of the building safety performance structure based on the target monitoring data, and evaluates the repeated behavior patterns and influences in the building by using graph theory analysis methods. It includes analyzing and identifying the key stress distribution and displacement patterns in the building through nodes (key structural points) and edges (stress or displacement relationships between structural points), revealing the behavior trend of the building under specific loads, which is crucial for preventing structural failures, and generating pattern analysis results. The formula used is:

[0113]

[0114] Among them, P analysis represents the pattern analysis result, λ j is the importance coefficient of the jth node, σ jk is the association between nodes j and k, K j is the set of nodes directly connected to node j, and m is the total number of nodes.

[0115] S403: Using the pattern analysis results, abnormal pattern detection is performed to identify structural responses that deviate from the normal behavior pattern, identify potential weaknesses and failure causes of the building safety performance structure, and obtain the execution process of the structural behavior pattern as follows;

[0116] Substep S403 uses the pattern analysis results to perform abnormal pattern detection and identify structural responses that deviate from the normal behavior pattern, including abnormal stress distribution or abnormal displacement pattern. Through analysis, the system can identify potential weaknesses and causes of failures in the building's safety performance structure. This is essential for maintaining the long-term stability and safety of the building, and can guide future maintenance work and structural reinforcement measures to obtain the structural behavior pattern using the formula:

[0117]

[0118] Among them, A behavior represents the structural behavior mode, μ l is the anomaly index of the lth mode, δ l is the degree to which the pattern deviates from the norm, and p is the total number of patterns.

[0119] See also Figure 6 Based on the structural behavior pattern, a quantitative assessment of the risk area is conducted, and the standard design data and the real-time performance of the building are compared and analyzed. By calculating the deviations and potential risk points, the steps to generate the potential risk identification results are as follows:

[0120] S501: Use structural behavior models to quantitatively evaluate key areas of the building safety performance structure, identify areas subject to stress and displacement, and mark them as risk points. The execution process for generating risk area data is as follows;

[0121] The S501 sub-step uses the structural behavior model to quantitatively evaluate the key areas of the building's safety performance structure, identify areas that are subject to higher stress and displacement, and mark them as risk points. Using the structural behavior model, the system will accurately locate the structural areas that exhibit high stress or abnormal displacement behavior under simulated or actual loading conditions. The structural area is the focus of the structural safety assessment because it is a potential failure or failure point. The purpose of marking risk points is to prevent structural failures and take remedial measures in advance, and to generate risk area data. The formula used is:

[0122]

[0123] Among them, R areas represents the risk area data, φ i is the risk factor of the ith region, s i is the stress value, d i is the displacement value, and n is the total number of monitoring areas.

[0124] S502: Based on the risk area data, the design parameters of the building are compared with the real-time monitoring results, the deviation between the design parameters and the real-time monitoring results is calculated, the difference between the real-time performance and the design standard is analyzed, and the execution process of generating the deviation analysis results is as follows;

[0125] Substep S502 compares the design parameters of the building and the real-time monitoring results based on the risk area data. By calculating the deviation between the design parameters and the real-time monitoring results, the difference between the real-time performance and the design standards can be analyzed. This helps engineers evaluate whether the actual performance of the building meets the safety standards and whether the design needs to be adjusted or strengthened to cope with unforeseen loads or environmental conditions. The deviation analysis results are generated using the formula:

[0126]

[0127] Among them, D deviation Denotes the deviation analysis result, p j is the parameter value monitored in real time, q j is the design parameter value and m is the total number of parameters.

[0128] S503: Using the deviation analysis results, iteratively analyze and calculate potential risk points in the building safety performance structure, including stress concentration and structural fatigue signs, and extract key information to obtain the execution process of potential risk identification results as follows;

[0129] Sub-step S503 uses the deviation analysis results to iteratively analyze and calculate the potential risk points in the building safety performance structure, including the identification of stress concentration points and signs of structural fatigue, which are very critical aspects of preventing structural failures. Through continuous monitoring and data analysis, relevant information on key risk points will be extracted. The information is essential for formulating maintenance plans and taking preventive measures, and the potential risk identification results are obtained. The formula used is:

[0130]

[0131] Among them, P risks represents the potential risk identification result, ψ k is the severity coefficient of the kth risk point, v k is the monitoring value, t k is the threshold value, and o is the total number of risk points.

[0132] See also Figure 7 , through the potential risk identification results, calculate the entropy value of the building structure, and analyze the change trend of the entropy value over time, identify the degradation and damage of the building safety performance structure, and obtain the health status assessment results in the following steps:

[0133] S601: Using the potential risk identification results, the Monte Carlo method is used to quantitatively analyze the building safety performance structure, and the overall stability of the building safety performance structure is analyzed by calculating the entropy value of the structure. The execution process of generating the initialization entropy value data is as follows;

[0134] Substep S601 uses the potential risk identification results to quantitatively analyze the building safety performance structure using the Monte Carlo method. The Monte Carlo method is a statistical simulation technique used to evaluate the behavior and performance of the system. The system simulates the response of the building structure under different loading and environmental conditions and calculates the entropy value of the structure. The entropy value is used to evaluate the overall stability of the building and reflects the volatility and disorder of the system state. A higher entropy value indicates the instability and high-risk state of the structural system, and generates initial entropy value data.

[0135] The formula of the Monte Carlo method is as follows:

[0136]

[0137] Among them, H is the weighted entropy value, p i is the probability of the state, w i is the weight coefficient of state i, β is the risk adjustment coefficient, f j is the weight of the risk factor, d j is the distance measure of risk factors, n is the total number of states, and m is the total number of risk factors.

[0138] The execution flow is as follows:

[0139] Monte Carlo simulation is used to obtain the probability p of each state i , assign a weight w to each state i The weight reflects the importance of each state in the building safety performance assessment. The information entropy of each state is calculated. The risk adjustment coefficient β is used to adjust the impact of different risk factors on the entropy value. The coefficient is determined according to expert evaluation. Each risk factor f j Weighted according to the impact on building safety, d j It represents the distance from the ideal safety state, which can be a measure of the difference between the actual state and the ideal state. After integrating all the information, the entropy value is calculated to enhance the stability index.

[0140] S602: Based on the initialized entropy value data, analyze the change trend of the entropy value over time, identify the fluctuation of the building safety performance structure entropy value by analyzing the time series, record the change of the structural stability, and generate the entropy value trend analysis result. The execution process is as follows;

[0141] Substep S602 analyzes the trend of entropy value changes over time based on the initial entropy value data. By building a time series model, the fluctuation and change of the entropy value of the building safety performance structure is tracked, which helps to monitor the dynamic changes of structural stability. Time series analysis allows the identification of fluctuation patterns of structural performance over time, such as periodic changes or trend declines. The pattern indicates potential structural problems and generates entropy value trend analysis results. The formula used is:

[0142]

[0143] Among them, H trend Indicates the result of entropy trend analysis, H t is the entropy value at time t, is the average entropy value, and T is the total number of time periods.

[0144] S603: Using the entropy trend analysis results, identify the degradation and damage development trends in the building safety performance structure, identify and analyze safety hazards and problem areas that need to be addressed first, and obtain the health status assessment results. The execution process is as follows;

[0145] Sub-step S603 uses the results of entropy trend analysis to identify the degradation and damage development trends in the building safety performance structure. Through in-depth analysis of entropy data and monitoring indicators, potential degradation areas and damage development patterns in the structure can be identified. This includes analyzing the entropy values ​​of parts of the structure that show abnormal increases or fluctuations, degraded areas that need to be treated first, providing a detailed description of the current structural health of the building, and pointing out key areas that need attention or intervention, and obtaining health status assessment results. The formula used is:

[0146]

[0147] Among them, S health represents the health status assessment result, ξ k is the sensitivity coefficient of the kth region, ΔH k is the change in regional entropy value, and m is the total number of monitored areas.

[0148] See also Figure 8 , a building safety performance evaluation system, the building safety performance evaluation system is used to perform the above-mentioned building safety performance evaluation method, the system comprises:

[0149] The data collection module collects building displacement and acceleration data, uses optical fiber sensors to measure data in real time, combines time series analysis, records data changes, and obtains real-time monitoring data;

[0150] The data processing module analyzes the mechanical characteristics of the data based on real-time monitoring data, adjusts the damping and support structure of the building in real time, matches the changes in external and internal loads, and obtains adjustment response records;

[0151] The strategy building module establishes emergency response strategies by adjusting response records, evaluating the response characteristics of buildings under extreme weather and earthquake conditions, and constructing emergency modes;

[0152] The pattern recognition module implements emergency response strategies, performs recursive pattern analysis on the building structure, analyzes and evaluates the frequency and influence of differentiated patterns, identifies abnormal patterns, and generates structural behavior patterns;

[0153] The risk assessment module conducts quantitative assessment of risk areas through structural behavior patterns, compares and analyzes standard design data and the real-time performance of buildings, calculates the entropy value of the building structure, and records changes in structural stability to obtain health status assessment results.

[0154] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A building safety performance assessment method, characterized in that: The following steps are involved: Collect the displacement and acceleration data of the building, use fiber optic sensors to measure in real time, check the quality of the data, combine time series analysis and record data changes to obtain real-time monitoring data; The real-time monitoring data is used to optimize the damping of the building and the mechanical response of the supporting structure, and real-time adjustments are made to match the external and internal load changes to obtain an adjustment response record; Based on the adjusted response records, identifying the response characteristics of the building under extreme weather and earthquake conditions, evaluating the safety performance of the building, configuring an emergency mode, and establishing an emergency response strategy; Implement the emergency response strategy, conduct recursive pattern analysis on the building structure, evaluate the frequency and influence of repeated patterns through relationship diagrams and node analysis, identify abnormal patterns and potential weaknesses, and obtain structural behavior patterns; Based on the structural behavior patterns, quantitative assessment of risk areas is performed, and standard design data and real-time performance of the building are compared and analyzed. By calculating deviations and potential risk points, potential risk identification results are generated; Through the potential risk identification results, the entropy value of the building structure is calculated, and the changing trend of the entropy value over time is analyzed to identify the degradation and damage of the building's safety performance structure and obtain the health status assessment results.

2. The building safety performance evaluation method according to claim 1, characterized in that: The real-time monitoring data includes the time stamp, amplitude and frequency changes of the data, the adjustment response record includes the response time, changes in mechanical properties and the degree of matching with load changes, the emergency response strategy includes the safety performance assessment results of the building under extreme weather and earthquake conditions and the configuration of the emergency mode, the structural behavior pattern includes repeated loading response patterns, abnormal structural behavior and potential structural weaknesses, the potential risk identification results include structural deviation values, key risk points and potential damage areas, the health status assessment results include time series analysis of entropy values, and trend identification of building structural degradation and damage.

3. The building safety performance evaluation method according to claim 1, characterized in that: The steps to collect displacement and acceleration data of buildings, measure them in real time using fiber optic sensors, check the quality of the data, and combine time series analysis and record data changes to obtain real-time monitoring data are as follows: Collect displacement and acceleration data of buildings, deploy fiber optic sensors at key points of the building structure, including columns, beams and foundations, extract information from key areas of structural performance, and generate raw monitoring data; Based on the original monitoring data, perform data quality inspection, eliminate noise and errors, adjust the sensitivity of the optical fiber sensor and the data collection frequency, check the consistency of the data, and obtain corrected data; The corrected data is used to record and analyze the changing trends of the data, including periodic changes and emergency response. By analyzing the time series of the data, the behavioral characteristics of the building under differentiated conditions are identified to obtain real-time monitoring data.

4. The building safety performance evaluation method according to claim 1, characterized in that: The real-time monitoring data is used to optimize the damping of the building and the mechanical response of the supporting structure, and the external and internal load changes are adjusted in real time to obtain the adjusted response record. Specifically, the steps are: Based on the real-time monitoring data, the structural behavior of the building is evaluated, key load points and pressure distribution are identified, the damping and support structure locations that need to be optimized are identified, and structural behavior evaluation results are generated; Based on the structural behavior assessment results, the required damping adjustment and support strength are calculated, the structural parameters of the building are adjusted to match the detected load changes, the structural response is checked to match the real-time load, and a parameter adjustment record is generated; The parameter adjustment record is used to monitor the response effect of the adjusted structure, track the performance of the damping and support structures, verify that the adjustment effect matches the expected degree, evaluate the complete adjustment effect, and obtain the adjustment response record.

5. The building safety performance evaluation method according to claim 1, characterized in that: The steps of adjusting the response record, identifying the response characteristics of the building under extreme weather and earthquake conditions, evaluating the safety performance of the building, and configuring the emergency mode and establishing the emergency response strategy are as follows: Analyze the adjustment response records, identify data in emergency situations of extreme weather and earthquakes, calibrate key performance indicators, including displacement and stress responses, identify the behavior of building structures under high pressure, and generate key performance data; Based on the key performance data, conduct a safety performance assessment of the building, analyze the safety level of the building by comparing it with industry safety standards, identify potential risk points, and generate safety assessment results; Based on the safety assessment results, emergency measures such as automatic damping adjustment and support reinforcement are configured. If an extreme event is detected, emergency measures are automatically initiated to optimize the safety performance of the building and establish an emergency response strategy.

6. The building safety performance evaluation method according to claim 1, characterized in that: The steps of implementing the emergency response strategy, performing recursive pattern analysis on the building structure, evaluating the frequency and influence of repeated patterns through relationship diagrams and node analysis, identifying abnormal patterns and potential weaknesses, and obtaining structural behavior patterns are as follows: Implement the emergency response strategy and monitor the safety performance structure of buildings in real time, including collecting structural response data of buildings and generating targeted monitoring data during early warning weather and seismic activities; Based on the target monitoring data, a relationship diagram of the structural behavior is constructed, and the repeated behavior patterns and influences in the building safety performance structure are evaluated through the analysis of nodes and edges, the stress distribution and displacement patterns are identified, and the pattern analysis results are generated; The pattern analysis results are used to perform abnormal pattern detection, identify structural responses that deviate from conventional behavior patterns, identify potential weaknesses and causes of failures in the building's safety performance structure, and obtain structural behavior patterns.

7. The building safety performance evaluation method according to claim 1, characterized in that: Based on the structural behavior pattern, a quantitative assessment of the risk area is performed, and the standard design data and the real-time performance of the building are compared and analyzed. By calculating the deviations and potential risk points, the steps to generate the potential risk identification results are as follows: Using the structural behavior model, the key areas of the building safety performance structure are quantitatively evaluated, the areas subject to stress and displacement are identified and marked as risk points, and risk area data are generated; Based on the risk area data, compare the design parameters of the building with the real-time monitoring results, calculate the deviation between the design parameters and the real-time monitoring results, analyze the difference between the real-time performance and the design standard, and generate a deviation analysis result; Utilizing the deviation analysis results, potential risk points in the building safety performance structure are iteratively analyzed and calculated, including stress concentration and structural fatigue signs, and key information is extracted to obtain potential risk identification results.

8. The building safety performance evaluation method according to claim 1, characterized in that: The steps of calculating the entropy value of the building structure through the potential risk identification results, analyzing the change trend of the entropy value over time, identifying the degradation and damage of the building safety performance structure, and obtaining the health status assessment results are as follows: Using the potential risk identification results, the Monte Carlo method is used to quantitatively analyze the building safety performance structure, and the overall stability of the building safety performance structure is analyzed by calculating the entropy value of the structure to generate initialization entropy value data; Based on the initialized entropy value data, analyze the change trend of the entropy value over time, identify the fluctuation of the building safety performance structure entropy value by analyzing the time series, record the change of the structural stability, and generate the entropy value trend analysis result; The entropy value trend analysis results are used to identify the degradation and damage development trends in the building's safety performance structure, identify and analyze safety hazards and problem areas that need to be addressed as a priority, and obtain health status assessment results.

9. The building safety performance assessment method according to claim 8, characterized in that: The formula of the Monte Carlo method is as follows: Among them, H is the weighted entropy value, p i is the probability of the state, w i is the weight coefficient of state i, β is the risk adjustment coefficient, f j is the weight of the risk factor, d j is the distance measure of risk factors, n is the total number of states, and m is the total number of risk factors.

10. A building safety performance evaluation system, characterized in that: According to any one of claims 1 to 9, the building safety performance assessment method comprises: The data collection module collects building displacement and acceleration data, uses optical fiber sensors to measure data in real time, combines time series analysis, records data changes, and obtains real-time monitoring data; The data processing module analyzes the mechanical characteristics of the data based on the real-time monitoring data, adjusts the damping and support structure of the building in real time, matches the changes in external and internal loads, and obtains adjustment response records; The strategy building module evaluates the response characteristics of the building under extreme weather and earthquake conditions through the adjustment response record, builds an emergency mode, and establishes an emergency response strategy; The pattern recognition module executes the emergency response strategy, performs recursive pattern analysis on the building structure, analyzes and evaluates the frequency and influence of differentiated patterns, identifies abnormal patterns, and generates structural behavior patterns; The risk assessment module conducts quantitative assessment of risk areas through the structural behavior pattern, compares and analyzes standard design data and real-time performance of buildings, calculates the entropy value of the building structure, and records changes in structural stability to obtain health status assessment results.

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