A house quality safety detection method and system based on data analysis

Abstract

The application discloses a kind of based on data analysis's housing quality safety detection method and system, it is related to housing structure monitoring technical field, the thickness, strength and density of concrete wrapping layer such as durability data are collected in real time by steel bar scanner, rebound hammer and ultrasonic detector, and are used for calculating protective layer deformation trend index npt after pre-processing to carry out concrete wrapping layer degradation evaluation, whether wrapping layer is judged to degrade;If it is evaluated that concrete wrapping layer exists degradation, then further through acquisition equipment and sensor group acquisition steel performance data and environmental response data, corrosion electric signal diffusion index ced and environmental erosion interference index etf are calculated after pre-processing;Comprehensive three indexes obtain comprehensive coupling aging risk index rdi to carry out housing performance risk assessment, complete housing performance risk grade evaluation, and corresponding decision instruction is generated according to risk grade, realize the dynamic monitoring, early warning and intervention of housing structural degradation risk.

Description

Technical Field

[0001] This invention relates to the field of building structure monitoring technology, specifically to a building quality and safety testing method and system based on data analysis. Background Technology

[0002] With the widespread application of data analysis technology in the field of engineering structure monitoring, quality assessment systems based on multi-source acquisition and real-time calculation are gradually becoming an important means of building safety inspection. Especially during the long-term service of buildings, traditional manual inspection methods are insufficient to achieve continuous, quantitative, and accurate assessment of the performance evolution of components. Therefore, data analysis-based building quality and safety inspection systems have emerged. By capturing and modeling physical data, environmental data, and changes in material properties in real time, these systems can achieve early identification of structural aging trends and potential risks. In this system, the performance stability and corrosion reaction characteristics of the concrete reinforcement protective layer are core factors affecting building structural safety. Especially in high-humidity, high-heat, or corrosive atmospheric environments, the degradation of the concrete coating thickness, the decrease in density, and the rate of steel reinforcement corrosion often become the primary causes of structural instability.

[0003] Currently, safety inspections of reinforced concrete structures suffer from several limitations. First, they often rely on manual inspections or single-use testing equipment, resulting in assessments based primarily on static data of the current state, making it difficult to effectively identify the gradual degradation trend of the reinforcement cover over long-term service. Second, data processing relies heavily on subjective experience, lacking systematic and multi-factor fusion analysis. This results in a lack of in-depth modeling and analysis mechanisms for dynamic responses such as corrosion electrical signals and environmental erosion factors, hindering early prediction of the aging process. Finally, in actual engineering projects, the impact of environmental factors on corrosion is not quantified and incorporated into the system assessment logic, leading to discrepancies between assessment results and the actual degree of structural degradation. These shortcomings not only limit assessment accuracy but also affect the scientific rigor and timeliness of subsequent structural maintenance and decision-making responses. Therefore, there is an urgent need to construct a multi-dimensional inspection system integrating deformation trend identification, corrosion electrical signal analysis, and environmental interference modeling to enhance the comprehensive perception and response capabilities to building safety risks. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a data analysis-based method and system for inspecting the quality and safety of buildings, thus solving the problems mentioned in the background section.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a data analysis-based building quality and safety inspection system, comprising a data acquisition module, a deformation analysis module, a corrosion response analysis module, a comprehensive quality assessment module, and a decision response module;

[0006] The data acquisition module is used to collect durability data of the concrete wrapping layer and transmit it to the building quality and safety testing system for preprocessing.

[0007] The deformation analysis module is used to calculate the protective layer deformation trend index npt based on the pre-processed durability data, and to evaluate the degradation of the concrete wrapping layer with the aging trend manifestation threshold Z. When the evaluation indicates that the concrete wrapping layer has degraded, the module executes the aging corrosion analysis command.

[0008] The corrosion response analysis module is used to execute aging corrosion analysis commands, collect steel bar performance data and environmental response data in real time, and transmit them to the building quality and safety testing system for preprocessing. Then, based on the preprocessed steel bar performance data and environmental response data, the corrosion electrical signal diffusion index ced and the environmental erosion interference index etf are calculated.

[0009] The comprehensive quality assessment module is used to calculate the comprehensive coupled aging risk index rdi based on the protective layer deformation trend index npt, corrosion electrical signal diffusion index ced, and environmental erosion interference index etf, and to conduct a building performance risk assessment with the first corrosion diffusion manifestation threshold P and the second corrosion diffusion manifestation threshold Q.

[0010] The decision response module is used to execute corresponding instructions in a graded manner based on the results of the building performance risk assessment.

[0011] Preferably, the data acquisition module includes a data acquisition unit and a preprocessing unit;

[0012] The data acquisition unit is used to collect real-time durability data of the concrete wrapping layer protecting the reinforcing steel bars based on the acquisition equipment.

[0013] The durability data includes concrete wrapping thickness pt, rebound strength value eq, and ultrasonic propagation velocity vs;

[0014] The data acquisition equipment includes a rebar scanner, a rebound hammer, and a concrete ultrasonic testing instrument.

[0015] The rebar scanner is used to collect the thickness (pt) of the concrete wrapping layer.

[0016] The rebound hammer is used to collect the rebound strength value eq of the concrete wrapping layer;

[0017] The ultrasonic testing instrument for concrete is used to collect the propagation speed vs of ultrasonic waves in the concrete coating layer;

[0018] The preprocessing unit is used to establish a communication connection between the acquisition device and the building quality and safety inspection system based on the communication network, and to transmit the acquired index data to the building quality and safety inspection system in real time for preprocessing.

[0019] The preprocessing includes dimensionless processing, outlier handling, and missing value imputation.

[0020] The dimensionless processing removes the dimensional influence of durability data using the Max-Min method. Outlier handling detects and processes outliers in durability data using the interquartile range method. Missing value handling fills in missing values ​​in durability data using the mean imputation method.

[0021] Preferably, the deformation analysis module includes a protective layer deformation analysis unit and a protective layer stability assessment unit;

[0022] The protective layer deformation analysis unit is used to calculate and obtain the protective layer deformation trend index npt based on the pre-processed durability data, which is used to measure the strength of the change trend of the steel reinforcement protective layer thickness. The specific formula is as follows.

[0023] ;

[0024] In the formula, ln represents the logarithmic function, n represents the total number of detections within the monitoring period, Δpt represents the difference in protective layer thickness between two adjacent detections, Δt represents the time interval between two adjacent detections, and eq i Represents the concrete rebound strength value of the i-th test, vs i Let $v$ represent the propagation speed of the ultrasonic wave in the i-th detection.

[0025] Preferably, the protective layer stability assessment unit is used to calculate the mean value of the protective layer deformation trend index npt over the past three months using statistical methods. and standard deviation and based on the mean and standard deviation Set a preset threshold Z for the aging trend to be displayed, specifically as follows: In the formula, k represents the safety adjustment constant, which is a dimensionless constant. It is then compared with the real-time obtained protective layer deformation trend index npt. Based on the comparison results, the degradation assessment of the concrete wrapping layer is carried out. The specific assessment scheme is as follows:

[0026] When the deformation trend index npt of the protective layer is less than the aging trend manifestation threshold Z, it indicates that the concrete wrapping layer is in a stable state, and the normal monitoring frequency should be maintained at this time.

[0027] When the protective layer deformation trend index npt is greater than or equal to the aging trend manifestation threshold Z, it indicates that the concrete coating layer is degraded. At this time, degradation information is generated and transmitted to the relevant personnel's user terminal through the communication network, and the aging corrosion analysis command is executed.

[0028] Preferably, the corrosion response analysis module is used to execute aging corrosion analysis instructions when the degradation assessment of the concrete coating layer indicates that the concrete coating layer has degraded, and specifically includes a corrosion acquisition unit and a response analysis unit;

[0029] The corrosion acquisition unit is used to collect steel reinforcement performance data and environmental response data in real time based on the acquisition equipment and sensor group, and transmit them to the building quality and safety testing system for preprocessing through the communication network.

[0030] The steel reinforcement performance data includes steel corrosion potential ec, concrete resistivity pc, and corrosion current density di.

[0031] The environmental response data includes ambient temperature (wd) and ambient humidity (sd);

[0032] The data acquisition device is a steel corrosion detector;

[0033] The sensor group includes a temperature sensor and a humidity sensor;

[0034] The temperature sensor is used to collect ambient temperature, and the humidity sensor is used to collect ambient humidity.

[0035] Preferably, the response analysis unit is used to calculate the corrosion electrical signal diffusion index ced and the environmental erosion interference index etf based on the preprocessed steel bar performance data and environmental response data, respectively.

[0036] The corrosion electrical signal diffusion index ced represents the degree of dispersion of the potential response of the corrosion point during the spatial diffusion process. It is used to identify corrosion anomaly areas with unstable potential fields and drastic abrupt changes. The specific formula is as follows:

[0037] ;

[0038] In the formula, M represents the total number of data collection points, and ec m pc m and di m Let ec represent the steel corrosion potential, concrete resistivity, and corrosion current density at the m-th sampling point, respectively. m-1 This represents the corrosion potential of the reinforcing steel at a sampling point adjacent to the m-th sampling point;

[0039] The environmental erosion disturbance index etf is used to analyze the catalytic effect of the external environment on the degree of corrosion reaction activity. The specific formula is as follows;

[0040] ;

[0041] In the formula, exp represents the natural exponential function, ln represents the logarithmic function, en represents the environmental erosion regulation constant, which is set by the user according to the local climate environment and is a dimensionless constant, and wdavg and sd avg These represent the average ambient temperature and ambient humidity during the monitoring period, respectively.

[0042] Preferably, the integrated quality assessment module includes a coupled aging analysis unit and a building quality assessment unit;

[0043] The coupled aging analysis unit is used to perform comprehensive calculations based on the obtained protective layer deformation trend index npt, corrosion electrical signal diffusion index ced, and environmental erosion interference index etf to obtain the comprehensive coupled aging risk index rdi, which is used to comprehensively measure the combined effects of the physical stability, corrosion disturbance activity, and environmentally induced corrosion intensity of the steel reinforcement protective layer. The specific formula is as follows.

[0044] ;

[0045] In the formula, ln represents the logarithmic function.

[0046] Preferably, the housing quality assessment unit is used to sort all comprehensive coupled aging risk indices rdi from smallest to largest within the past three months according to statistical methods, and calculate the 25th percentile and 65th percentile values ​​using the quantile method. The 25th percentile value is preset as the first corrosion diffusion manifestation threshold P, and the 65th percentile value is preset as the second corrosion diffusion manifestation threshold Q. Then, the housing performance risk assessment is performed with the real-time acquired comprehensive coupled aging risk index rdi. The specific assessment scheme is as follows:

[0047] When the comprehensive coupled aging risk index rdi < the first corrosion diffusion manifestation threshold P, it indicates that the protective layer is at normal decay, there is no corrosion diffusion trend, the building structure is stable, and the first information instruction is executed at this time.

[0048] When the first corrosion diffusion manifestation threshold P ≤ the comprehensive coupled aging risk index rdi ≤ the second corrosion diffusion manifestation threshold Q, it indicates that there is a corrosion trend, but the structural performance of the building components is not affected. At this time, the second information instruction is executed.

[0049] When the comprehensive coupled aging risk index rdi > the second corrosion diffusion manifestation threshold Q, it indicates that the corrosion trend is affecting the structural performance of the building components, and the third information instruction is executed at this time.

[0050] Preferably, the decision response module is used to execute corresponding instructions in a graded manner based on the results of the housing performance risk assessment, as follows;

[0051] The first information instruction is to generate preventive information and transmit it to relevant departments, notifying them to apply a chemical sealant coating to the protective layer and maintain normal monitoring.

[0052] The second information instruction is to generate corrosion information and transmit it to relevant departments, notify them to carry out corrosion blocking treatment, seal the corrosion source, and apply a chemical sealant coating.

[0053] The third information instruction is to generate risk information and transmit it to relevant departments, notify them to evacuate personnel, and carry out structural repairs and reconstruction of the composite protective layer.

[0054] A data analysis-based method for inspecting the quality and safety of buildings includes the following steps:

[0055] S1. Collect durability data of the concrete wrapping layer and transmit it to the building quality and safety testing system for preprocessing;

[0056] S2. Calculate the protective layer deformation trend index npt based on the pre-treated durability data to assess the degradation of the concrete wrapping layer, and execute the aging corrosion analysis command when the assessment indicates that the concrete wrapping layer has degraded.

[0057] S3. Execute the aging corrosion analysis command, collect steel bar performance data and environmental response data in real time, and transmit them to the building quality and safety testing system for preprocessing. Then, calculate the corrosion electrical signal diffusion index ced and the environmental erosion interference index etf based on the preprocessed steel bar performance data and environmental response data.

[0058] S4. Based on the protective layer deformation trend index npt, corrosion electrical signal diffusion index ced and environmental erosion interference index etf, the comprehensive coupled aging risk index rdi is calculated and compared with the first corrosion diffusion manifestation threshold P and the second corrosion diffusion manifestation threshold Q to conduct a building performance risk assessment.

[0059] S5. Execute corresponding instructions according to the graded risk assessment results of the building performance.

[0060] This invention provides a data analysis-based method and system for inspecting the quality and safety of buildings. It offers the following advantages:

[0061] (1) The data acquisition module of this system relies on a rebar scanner, a rebound hammer and a concrete ultrasonic tester to collect three structural performance parameters: concrete wrapping layer thickness pt, rebound strength value eq and ultrasonic propagation speed vs. the concrete wrapping layer thickness. This accurately describes the thickness change, strength performance and density of the protective layer. At the same time, the data is transmitted to the building quality and safety inspection system for dimensionless processing, outlier processing and missing value filling. This effectively eliminates the influence of dimensions, missing interference and extreme value misleading, ensures data continuity and comparability, improves the accuracy of analysis from the source, and provides stable, reliable and quantifiable input data for the entire system.

[0062] (2) The deformation analysis module of the system constructs the protective layer deformation trend index npt through the pre-processed durability data, comprehensively considers factors such as the protective layer thickness change rate, material physical degradation, and time dimension stability, and evaluates the degradation of the concrete wrapping layer with the set aging trend manifestation threshold Z to identify whether the concrete wrapping layer has entered the degradation range. If a degradation trend appears, the system immediately triggers the aging corrosion analysis command, calls the corrosion response analysis module to further collect steel performance data including steel corrosion potential ec, concrete resistivity pc and corrosion current density di, as well as environmental response data including ambient temperature wd and ambient humidity sd, and transmits them to the building quality and safety detection system for pre-processing. Then, the corrosion electrical signal diffusion index ced and the environmental erosion interference index etf are constructed respectively to accurately characterize the corrosion potential diffusion trend and environmental corrosion promotion ability, identify the potential unstable area and environmental intensification area in the steel protective layer, realize the step-by-step progressive analysis from the physical layer to the chemical layer and then to the environmental layer, and construct a complete corrosion behavior map.

[0063] (3) The system's comprehensive quality assessment module utilizes the protective layer deformation trend index npt, the corrosion electrical signal diffusion index ced, and the environmental erosion interference index etf to jointly construct a comprehensive coupled aging risk index rdi. A nested logarithmic function approach is used to enhance the sensitivity response of environmental factors under extreme conditions, accurately quantifying the comprehensive aging state of the steel reinforcement protective layer under the current environment and corrosion. The real-time acquired comprehensive coupled aging risk index rdi is then compared with the set first corrosion diffusion manifestation threshold P and second corrosion diffusion manifestation threshold Q to conduct a building performance risk assessment, clarifying the building structure's safety level. Based on this, the decision response module outputs corresponding processing strategies according to different levels: from maintaining routine monitoring, chemical sealing coating prevention, corrosion blocking treatment, to structural repair and emergency evacuation, achieving a closed-loop control across the entire chain of monitoring, identification, analysis, assessment, and response. This achieves high-precision, graded, and automated building quality and safety inspection goals, effectively solving the problems of lagging, discontinuous, and mismatched responses in existing detection methods. Attached Figure Description

[0064] Figure 1 This is a schematic diagram of the process of a data analysis-based building quality and safety inspection system according to the present invention;

[0065] Figure 2 This is a schematic diagram illustrating the steps of a data analysis-based method for inspecting building quality and safety according to the present invention.

[0066] Figure 3 This is a schematic diagram illustrating the operating principle of a data analysis-based building quality and safety inspection system according to the present invention. Detailed Implementation

[0067] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0068] Example 1

[0069] Please see Figure 1 This invention provides a data analysis-based building quality and safety inspection system. To achieve the above objectives, this invention is implemented through the following technical solutions: including a data acquisition module, a deformation analysis module, a corrosion response analysis module, a comprehensive quality assessment module, and a decision response module;

[0070] The data acquisition module is used to collect durability data of the concrete wrapping layer and transmit it to the building quality and safety testing system for preprocessing.

[0071] The deformation analysis module is used to calculate the protective layer deformation trend index npt based on the pre-processed durability data, and to evaluate the degradation of the concrete wrapping layer with the aging trend manifestation threshold Z. When the evaluation indicates that the concrete wrapping layer has degraded, the module executes the aging corrosion analysis command.

[0072] The corrosion response analysis module is used to execute aging corrosion analysis commands, collect steel bar performance data and environmental response data in real time, and transmit them to the building quality and safety testing system for preprocessing. Then, based on the preprocessed steel bar performance data and environmental response data, the corrosion electrical signal diffusion index ced and the environmental erosion interference index etf are calculated.

[0073] The comprehensive quality assessment module is used to calculate the comprehensive coupled aging risk index rdi based on the protective layer deformation trend index npt, corrosion electrical signal diffusion index ced, and environmental erosion interference index etf, and to conduct a building performance risk assessment with the first corrosion diffusion manifestation threshold P and the second corrosion diffusion manifestation threshold Q.

[0074] The decision response module is used to execute corresponding instructions in a graded manner based on the results of the building performance risk assessment.

[0075] In this embodiment, the data acquisition module collects real-time data on the durability of the concrete wrapping layer using acquisition equipment and transmits it to the building quality and safety inspection system for preprocessing, ensuring the data quality and index consistency of downstream analysis. This module not only constructs a complete parameter acquisition chain but also introduces preprocessing mechanisms such as dimension unification, missing data completion, and anomaly removal. This overcomes the risks of misjudgment and inconsistent analysis caused by inconsistent data standards, large sampling errors, and a single preprocessing method in traditional technologies, providing a solid foundation for the accuracy and adaptability of subsequent calculation models. The deformation analysis module calculates the protective layer deformation trend index npt using pre-processed durability data, quantifying the thickness evolution trend of the concrete wrapping layer. It then assesses the degradation of the concrete wrapping layer by comparing it with the aging trend manifestation threshold Z, enabling early warning of aging conditions. If degradation of the concrete wrapping layer is assessed, the corrosion response analysis module immediately executes aging corrosion analysis commands. It collects steel reinforcement performance data and environmental response data through acquisition equipment and sensor groups, transmitting them to the building quality and safety inspection system for preprocessing. This process constructs a corrosion electrical signal diffusion index ced and an environmental erosion interference index etf, achieving multi-dimensional risk perception from structural degradation to electrochemical corrosion and environmental triggering. This mechanism effectively solves the shortcomings of existing technologies, such as the separation, temporal lag, and information disconnect between physical degradation and corrosion behavior. The comprehensive quality assessment module calculates a comprehensive coupled aging risk index rdi by fusing multi-source indicators using the protective layer deformation trend index npt, the corrosion electrical signal diffusion index ced, and the environmental erosion interference index etf. This index is then compared with a set first corrosion diffusion manifestation threshold P and a second corrosion diffusion manifestation threshold Q to assess building performance risk. The decision response module outputs tiered response instructions based on different risk levels in building performance risk assessments, covering a full-process response strategy from regular monitoring, chemical sealing, corrosion prevention to structural repair and personnel evacuation. Compared to traditional static detection technologies, this invention significantly improves the accuracy, timeliness, and rationality of risk identification, solving the problems of delayed detection, weak judgment, and slow response. It achieves proactive early warning, intelligent analysis, and dynamic handling of building structural performance, effectively enhancing the safety assurance capabilities throughout the entire building lifecycle.

[0076] Example 2

[0077] Please refer to Figure 1 and Figure 3 Specifically: the data acquisition module includes a data acquisition unit and a preprocessing unit;

[0078] The data acquisition unit is used to collect real-time durability data of the concrete wrapping layer protecting the reinforcing steel bars based on the acquisition equipment.

[0079] The durability data includes concrete wrapping thickness pt, rebound strength value eq, and ultrasonic propagation velocity vs;

[0080] The data acquisition equipment includes a rebar scanner, a rebound hammer, and a concrete ultrasonic testing instrument.

[0081] The rebar scanner is used to collect the concrete cover thickness pt, which is used to describe the thickness of the concrete cover on the surface of the rebar of the component.

[0082] The rebound hammer is used to collect the rebound strength value eq of the concrete wrapping layer, which represents the compressive strength.

[0083] The ultrasonic testing instrument for concrete is used to collect the propagation speed vs of ultrasonic waves in the concrete coating layer, which represents the density and internal integrity of the concrete.

[0084] The preprocessing unit is used to establish a communication connection between the acquisition device and the building quality and safety inspection system based on the communication network, and to transmit the acquired index data to the building quality and safety inspection system in real time for preprocessing.

[0085] The preprocessing includes dimensionless processing, outlier handling, and missing value imputation.

[0086] The dimensionless processing removes the dimensional influence of durability data using the Max-Min method. Outlier handling detects and processes outliers in durability data using the interquartile range method. Missing value handling fills in missing values ​​in durability data using the mean imputation method.

[0087] In this embodiment, the data acquisition module collects durability data in real time, including concrete coating thickness (pt), rebound strength (eq), and ultrasonic wave propagation velocity (vs), using a rebar scanner, rebound hammer, and ultrasonic concrete detector, respectively. This comprehensively characterizes the structural thickness, compressive strength, and density of the protective layer. The durability data is transmitted via a communication network to the building quality and safety inspection system for preprocessing. The preprocessing unit performs dimensionless processing using the Max-Min method to eliminate biases caused by differences in index dimensions. Simultaneously, a mean imputation method is used to repair missing data, and an interquartile range method is used to remove outliers, ensuring data integrity and rationality. This implementation significantly improves the accuracy and usability of building structure data by introducing a multi-parameter fusion acquisition and standardized processing mechanism. It overcomes the problems of traditional methods such as single acquisition methods, inconsistent data quality, and weak preprocessing capabilities. This lays a precise and efficient data foundation for subsequent deformation trend analysis, corrosion identification, and risk assessment, achieving intelligent, standardized, and highly reliable improvements in the front-end of building quality inspection.

[0088] Example 3

[0089] Please refer to Figure 1 and Figure 3Specifically: the deformation analysis module includes a protective layer deformation analysis unit and a protective layer stability assessment unit;

[0090] The protective layer deformation analysis unit is used to calculate and obtain the protective layer deformation trend index npt based on the pre-processed durability data, which is used to measure the strength of the change trend of the steel reinforcement protective layer thickness. The specific formula is as follows.

[0091] ;

[0092] In the formula, ln represents the logarithmic function, n represents the total number of detections within the monitoring period, Δpt represents the difference in protective layer thickness between two adjacent detections, Δt represents the time interval between two adjacent detections, and eq i Represents the concrete rebound strength value of the i-th test, vs i This represents the propagation speed of the ultrasonic wave in the i-th detection, vs. This represents the rate of change of the protective layer thickness per unit time, and uses a squared term to enhance the weighting of the degradation trend. It represents the degree of physical performance degradation, amplifies the degradation-sensitive region through a logarithmic function, and suppresses the influence of non-degradation regions. It is used to assess physical performance inconsistencies and is a global summation function. The average of all n-1 detection counts is used to enhance trend identification and emphasize structural evolution.

[0093] Table 1 below is an example table of durability data;

[0094]

[0095] Table 1

[0096] The protective layer stability assessment unit is used to calculate the mean value of the protective layer deformation trend index npt over the past three months using statistical methods. and standard deviation and based on the mean and standard deviation Set a preset threshold Z for the aging trend to be displayed, specifically as follows: In the formula, k represents the safety adjustment constant, which is a dimensionless constant used to control the degree of deviation and elastic tolerance of the watershed from the historical qualified average value. It is then compared with the real-time obtained protective layer deformation trend index npt, and the degradation assessment of the concrete wrapping layer is carried out based on the comparison results. The specific assessment scheme is as follows.

[0097] When the deformation trend index npt of the protective layer is less than the aging trend manifestation threshold Z, it indicates that the concrete wrapping layer is in a stable state, and the normal monitoring frequency should be maintained at this time.

[0098] When the protective layer deformation trend index npt is greater than or equal to the aging trend manifestation threshold Z, it indicates that the concrete coating layer is degraded. At this time, degradation information is generated and transmitted to the relevant personnel's user terminal through the communication network, and the aging corrosion analysis command is executed.

[0099] In this embodiment, the deformation analysis module calculates the durability data of the pre-treated concrete wrapping layer through the protective layer deformation analysis unit to obtain the protective layer deformation trend index npt. This index comprehensively considers the thickness change rate, the degree of material degradation and the fluctuation of physical consistency. It uses time difference, the square term of physical index and logarithmic function to enhance the ability to identify abnormal changes and effectively characterize the evolution trend of the protective layer.

[0100] The physical meaning of the formula is to measure the coupling fluctuation intensity between the changing trend of the concrete coating thickness and the consistency of its physical properties. It represents the rate of change of the concrete cover thickness per unit time. The contribution of rapid changes to the index is amplified by squaring, reflecting whether the cover structure has undergone drastic shrinkage or expansion. The squared term is used to amplify the gradient response and is used to describe the structural measure of continuous deformation. By comparing the rebound strength value eq with the ultrasonic propagation speed vs, we can maintain high sensitivity within a small range, control gradient explosion in the extreme value range, suppress extreme value-dominated behavior, and enhance detection accuracy in the low value range. The larger the ratio, the higher the strength degradation rate is than the structural compactness maintenance ability, showing an unbalanced degradation trend of physical properties. By performing cyclical calculations from the second to the nth monitoring within the monitoring period, each pair of adjacent observations in the time series is transformed into a change term, eliminating the static influence of the first observation point and avoiding the accumulation of errors caused by the initial disturbance. The average degradation trend in the time dimension is obtained by averaging the n-1 time intervals. and The multiplication of the two parts allows for an interactive response between deformation and physical performance degradation trends, thus characterizing the strength of the coupling between thickness fluctuations and structural performance deterioration, avoiding misjudgments caused by a single variable. The comprehensive calculation outputs the protective layer deformation trend index npt, which reflects the rate of change in the geometric thickness of the concrete protective layer and the degree of imbalance between material compressive strength and density, enhancing the identification of trend evolution.

[0101] The protective layer stability assessment unit calculates the average value of the protective layer deformation trend index (npt) over the past three months using statistical methods. Based on this average, it sets an aging trend manifestation threshold (Z). The real-time acquired protective layer deformation trend index (npt) is compared with the aging trend manifestation threshold (Z) to assess the degradation of the concrete cover, enabling precise determination of whether the concrete cover has entered the degradation range. This module not only achieves early perception and dynamic identification of the micro-scale degradation trend of the steel reinforcement protective layer, overcoming the problems of slow response and crude judgment in existing technologies, but also establishes a real-time switching criterion between "stability" and "degradation" through quantitative threshold comparison. This provides a scientific triggering mechanism for subsequent corrosion analysis, effectively improving the system's ability to proactively identify structural hazards and its detection response efficiency.

[0102] Example 4

[0103] Please refer to Figure 1 and Figure 3 Specifically: the corrosion response analysis module is used to execute aging corrosion analysis instructions when the degradation assessment of the concrete coating layer indicates that the concrete coating layer has degraded, and specifically includes a corrosion acquisition unit and a response analysis unit;

[0104] The corrosion acquisition unit is used to collect steel reinforcement performance data and environmental response data in real time based on the acquisition equipment and sensor group, and transmit them to the building quality and safety testing system for preprocessing through the communication network.

[0105] The steel reinforcement performance data includes steel corrosion potential ec, concrete resistivity pc, and corrosion current density di.

[0106] The environmental response data includes ambient temperature (wd) and ambient humidity (sd);

[0107] The corrosion potential (ec) of the steel reinforcement is used to measure the degree of local electrochemical corrosion activity.

[0108] The concrete resistivity pc represents its ability to resist corrosion current conduction.

[0109] The corrosion current density di reflects the electrochemical corrosion rate of the steel reinforcement surface;

[0110] The ambient temperature wd represents the environmental thermal influence parameter, which is related to corrosion rate and diffusivity;

[0111] The ambient humidity sd is used to reflect the catalytic effect of environmental humidity on carbonization and corrosion.

[0112] The data acquisition device is a steel corrosion detector;

[0113] The sensor group includes a temperature sensor and a humidity sensor;

[0114] The temperature sensor is used to collect ambient temperature, and the humidity sensor is used to collect ambient humidity.

[0115] The response analysis unit is used to calculate the corrosion electrical signal diffusion index ced and the environmental erosion interference index etf based on the pre-processed steel reinforcement performance data and environmental response data, respectively.

[0116] The corrosion electrical signal diffusion index ced represents the degree of dispersion of the potential response of the corrosion point during the spatial diffusion process. It is used to identify corrosion anomaly areas with unstable potential fields and drastic abrupt changes. The specific formula is as follows:

[0117] ;

[0118] In the formula, M represents the total number of data collection points, and ec m pc m and di m Let ec represent the steel corrosion potential, concrete resistivity, and corrosion current density at the m-th sampling point, respectively. m-1 The summation function represents the corrosion potential of the reinforcing steel at sampling points adjacent to the m-th sampling point. This represents the mean of the potential perturbation behavior at all sampling points. This indicates that potential and resistivity jointly influence the probability of an event occurring and the complexity of the diffusion process. Used to analyze the coupling between the degree of corrosion potential abrupt change and the diffusion range;

[0119] Table 2 below is an example table of steel reinforcement performance data;

[0120]

[0121] Table 2

[0122] The environmental erosion disturbance index etf is used to analyze the catalytic effect of the external environment on the degree of corrosion reaction activity. The specific formula is as follows;

[0123] ;

[0124] In the formula, exp represents the natural exponential function, ln represents the logarithmic function, en represents the environmental erosion adjustment constant, which is set by the user according to the local climate environment and is a dimensionless constant used to adjust the long-term erosion trend, wd avg and sd avg These represent the average ambient temperature and ambient humidity during the monitoring period, respectively. This indicates the inhibitory effect of temperature, and the ability of temperature to enhance corrosion by controlling the reciprocal. The exponential enhancement factor representing the effect of humidity on corrosion behavior is controlled by a logarithmic function to remain stable under extremely humid and extremely dry environments. The overall natural index exp is used to enhance the sensitivity of the synergistic effects of environmental corrosion.

[0125] Table 3 below is an example table of environmental response data;

[0126]

[0127] Table 3

[0128] In this embodiment, the corrosion response analysis module automatically executes aging corrosion analysis commands after identifying concrete coating degradation, constructing a response structure composed of a corrosion acquisition unit and a response analysis unit. Real-time data on steel performance, including steel corrosion potential (EC), concrete resistivity (PC), and corrosion current density (Di), as well as environmental response data including ambient temperature (WD) and ambient humidity (SD), are collected using a steel corrosion detector, temperature sensor, and humidity sensor. This data is transmitted via a communication network to the building quality and safety inspection system for preprocessing, after which the corrosion electrical signal diffusion index (CE) and environmental erosion interference index (ETF) are calculated. The corrosion electrical signal diffusion index (CE) is used to identify spatial instability and areas of severe corrosion during the steel potential diffusion process, while the environmental erosion interference index (ETF) quantifies the stimulating effect of temperature and humidity on corrosion activity, thus achieving a precise dual characterization of the spatial discreteness of corrosion behavior and environmental synergistic factors. Compared to the traditional static approach of collecting only single potential data or environmental factors, this embodiment achieves linked modeling of electrochemical corrosion and external climate influences, significantly improving the sensitivity, coverage, and dynamic adaptability of corrosion identification, effectively supporting the subsequent risk assessment module in making a scientific, forward-looking, and operable comprehensive judgment on the building structure status.

[0129] The physical meaning of the formula is that the corrosion electrical signal diffusion index ced is used to characterize the dispersion of the potential response diffusion of steel corrosion points in space, reflecting the fluctuation and non-uniformity of the corrosion electrochemical process in physical space, and identifying abnormal hot spots and abrupt change areas of local corrosion. This is used to integrate the local potential perturbation behavior of all sampling points, reflecting the uniformity of the electrochemical field distribution on the entire protective layer surface during the active corrosion period; By combining the corrosion potential (ec) of steel bars and the resistivity (pc) of concrete, the combined effect of corrosion behavior on the current conduction path is measured; numerator term Used to describe the corrosion potential difference between adjacent measuring points, and to amplify abrupt changes in corrosion potential in local areas; denominator term This indicates a nonlinear characteristic where the stronger the corrosion current, the more concentrated the diffusion.

[0130] The Environmental Erosion Disturbance Index (ETF) is used to measure the synergistic promoting effect of environmental temperature and humidity on the activity of corrosion response. The inverse form is used to represent the negative correlation between temperature and corrosion rate, which is used to quantify the accelerating effect of temperature on corrosion under extreme conditions. By using a logarithmic function to nonlinearly amplify the ambient humidity, the ability of humidity to stimulate corrosion behavior under extremely high and low environments is reflected. This is used to improve the overall model's sensitivity response under the combined effects of high temperature and high humidity, and to capture the sharp increase in corrosion risk caused by seasonal and regional extreme environments.

[0131] The corrosion electrical signal diffusion index ced focuses on the electrochemical non-uniformity in the corrosion process inside steel bars, while the environmental erosion interference index etf supplements the excitation effect of the external environment on this process. The two represent the risk formation logic of internal and external factors, respectively, and constitute the modeling of the whole process from potential disturbance, corrosion diffusion and environmental activation.

[0132] Example 5

[0133] Please refer to Figure 1 and Figure 3 Specifically: the comprehensive quality assessment module includes a coupled aging analysis unit and a building quality assessment unit;

[0134] The coupled aging analysis unit is used to perform comprehensive calculations based on the obtained protective layer deformation trend index npt, corrosion electrical signal diffusion index ced, and environmental erosion interference index etf to obtain the comprehensive coupled aging risk index rdi, which is used to comprehensively measure the combined effects of the physical stability, corrosion disturbance activity, and environmentally induced corrosion intensity of the steel reinforcement protective layer. The specific formula is as follows.

[0135] ;

[0136] In the formula, ln represents the logarithmic function. It reflects the corrosion trend and intensity, and is used to balance the trend with the actual disturbance performance. By adjusting environmental factors using a logarithmic function before incorporating them into the calculation, the environmental acceleration term only significantly increases the risk value under severe weather conditions.

[0137] The housing quality assessment unit is used to sort all comprehensive coupled aging risk indices rdi from smallest to largest within the past three months according to statistical methods, and calculate the 25th percentile and 65th percentile values ​​using the quantile method. The 25th percentile value is preset as the first corrosion diffusion manifestation threshold P, and the 65th percentile value is preset as the second corrosion diffusion manifestation threshold Q. Then, it is compared with the real-time acquired comprehensive coupled aging risk index rdi to conduct a housing performance risk assessment. The specific assessment scheme is as follows:

[0138] When the comprehensive coupled aging risk index rdi < the first corrosion diffusion manifestation threshold P, it indicates that the protective layer is at normal decay, there is no corrosion diffusion trend, the building structure is stable, and the first information instruction is executed at this time.

[0139] When the first corrosion diffusion manifestation threshold P ≤ the comprehensive coupled aging risk index rdi ≤ the second corrosion diffusion manifestation threshold Q, it indicates that there is a corrosion trend, but the structural performance of the building components is not affected. At this time, the second information instruction is executed.

[0140] When the comprehensive coupled aging risk index rdi > the second corrosion diffusion manifestation threshold Q, it indicates that the corrosion trend is affecting the structural performance of the building components, and the third information instruction is executed at this time.

[0141] In this embodiment, the comprehensive quality assessment constructs a comprehensive coupled aging risk index rdi based on the real-time acquired protective layer deformation trend index npt, corrosion electrical signal diffusion index ced, and environmental erosion interference index etf. The logarithmic function is used to adjust the influence of environmental variables, making the risk calculation results more sensitive to and discriminative of severe climate.

[0142] The physical meaning of the formulas is as follows: the protective layer deformation trend index npt represents the deformation rate and degradation trend of the concrete coating, and is an indicator for assessing its physical stability. The larger the protective layer deformation trend index npt is, the more drastic the structural changes of the concrete coating and the more obvious signs of degradation. The corrosion electrical signal diffusion index ced describes the spatial dispersion of the electrical signal at the corrosion point, reflecting whether there are unstable fluctuations in the potential field on the surface of the steel reinforcement. The larger the corrosion electrical signal diffusion index ced is, the stronger the diffusion and abruptness of the corrosion area, and the higher the corrosion activity. The environmental erosion interference index etf represents the promoting effect of environmental temperature and humidity on the corrosion reaction. The calculation method introduces the natural exponential function and logarithmic function adjustment, making it more sensitive to the enhanced ability of corrosion reaction in extreme humid and dry environments. It combines deformation trend and corrosion activity, and uses the square root form to suppress the abnormal amplification effect of one of them, so that it has the ability to balance trend and disturbance performance. The environmental erosion factor is adjusted by a logarithmic function, and the addition of 1 is used to avoid the mathematical undefinability problem caused by ln(0). This term acts as an environmental trigger threshold amplifier to ensure that the increase in environmental severity can significantly affect the output of the final comprehensive coupled aging risk index rdi.

[0143] Then, by sorting and quantile analysis of the historical three-month comprehensive coupled aging risk index (rdi), the 25th percentile value was set as the first corrosion diffusion manifestation threshold P, and the 65th percentile value as the second corrosion diffusion manifestation threshold Q, to achieve a graded and quantitative assessment of the current performance status of the building. This implementation method not only organically integrates physical degradation, electrochemical corrosion, and environmental acceleration into a comprehensive coupled aging risk index (rdi), improving the representativeness and sensitivity of the risk indicators, but also solves the problems of single assessment indicators and poor adaptability of fixed thresholds in traditional technologies by dynamically setting thresholds using the quantile method. Ultimately, it achieves a dynamic, accurate, and graded improvement in risk identification, providing a scientific, intelligent, and implementable decision-making basis for the structural safety management of buildings.

[0144] Example 6

[0145] Please refer to Figure 1 Specifically: the decision response module is used to execute corresponding instructions in a graded manner based on the results of the housing performance risk assessment, as follows;

[0146] The first information instruction is to generate preventive information and transmit it to relevant departments, notifying them to apply a chemical sealant coating to the protective layer and maintain normal monitoring.

[0147] The second information instruction is to generate corrosion information and transmit it to relevant departments, notify them to carry out corrosion blocking treatment, seal the corrosion source, and apply a chemical sealant coating.

[0148] The third information instruction is to generate risk information and transmit it to relevant departments, notify them to evacuate personnel, and carry out structural repairs and reconstruction of the composite protective layer.

[0149] In this embodiment, the decision response module constructs a graded response closed-loop execution mechanism based on the risk level output by the comprehensive quality assessment module. Combining the first, second, and third information commands, it corresponds to different treatment strategies for the normal decay of the coating layer, the initial appearance of corrosion, and the severe corrosion stages, respectively. This achieves full-process safety management from preventative maintenance and localized corrosion prevention to structural repair and personnel evacuation. This implementation method directly transforms the aging risks identified by the system into executable operation commands through an intelligent response path, breaking down the transmission barriers between detection results and remediation actions. This greatly improves the automation and efficiency of building structure risk management, achieving the control objective of "early detection, early prevention, and rapid response," effectively preventing the expansion of structural disasters, and providing sustainable and highly reliable technical support for the safe maintenance of building structures throughout their entire life cycle.

[0150] Example 7

[0151] Please refer to Figure 2A data analysis-based method for inspecting the quality and safety of buildings includes the following steps:

[0152] S1. Collect durability data of the concrete wrapping layer and transmit it to the building quality and safety testing system for preprocessing;

[0153] S2. Calculate the protective layer deformation trend index npt based on the pre-treated durability data to assess the degradation of the concrete wrapping layer, and execute the aging corrosion analysis command when the assessment indicates that the concrete wrapping layer has degraded.

[0154] S3. Execute the aging corrosion analysis command, collect steel bar performance data and environmental response data in real time, and transmit them to the building quality and safety testing system for preprocessing. Then, calculate the corrosion electrical signal diffusion index ced and the environmental erosion interference index etf based on the preprocessed steel bar performance data and environmental response data.

[0155] S4. Based on the protective layer deformation trend index npt, corrosion electrical signal diffusion index ced and environmental erosion interference index etf, the comprehensive coupled aging risk index rdi is calculated and compared with the first corrosion diffusion manifestation threshold P and the second corrosion diffusion manifestation threshold Q to conduct a building performance risk assessment.

[0156] S5. Execute corresponding instructions according to the graded risk assessment results of the building performance.

[0157] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A data analysis-based building quality and safety inspection system, characterized in that: It includes a data acquisition module, a deformation analysis module, a corrosion response analysis module, a comprehensive quality assessment module, and a decision response module; The data acquisition module is used to collect durability data of the concrete wrapping layer and transmit it to the building quality and safety testing system for preprocessing. The deformation analysis module is used to calculate the protective layer deformation trend index npt based on the pre-processed durability data, and to evaluate the degradation of the concrete wrapping layer with the aging trend manifestation threshold Z. When the evaluation indicates that the concrete wrapping layer has degraded, the module executes the aging corrosion analysis command. ， ； In the formula, ln represents the logarithmic function, n represents the total number of detections within the monitoring period, Δpt represents the difference in protective layer thickness between two adjacent detections, Δt represents the time interval between two adjacent detections, and eq i Represents the concrete rebound strength value of the i-th test, vs i Let $v$ represent the ultrasonic wave propagation speed in the $i$-th test, and $k$ represent the safety adjustment constant, which is a dimensionless constant. and These represent the mean and standard deviation of the protective layer deformation trend index npt, respectively. The corrosion response analysis module is used to execute aging corrosion analysis commands, collect steel bar performance data and environmental response data in real time, and transmit them to the building quality and safety testing system for preprocessing. Then, based on the preprocessed steel bar performance data and environmental response data, the corrosion electrical signal diffusion index ced and the environmental erosion interference index etf are calculated. ， ； In the formula, M represents the total number of data collection points, and ec m pc m and di m Let ec represent the steel corrosion potential, concrete resistivity, and corrosion current density at the m-th sampling point, respectively. m-1 The m-th sampling point represents the corrosion potential of the steel reinforcement at the sampling point adjacent to it. exp represents the natural exponential function, ln represents the logarithmic function, en represents the environmental corrosion regulation constant (defined by the user based on local climate conditions and is a dimensionless constant), and wd represents the corrosion potential of the steel reinforcement at the m-th sampling point. avg and sd avg These represent the average ambient temperature and ambient humidity during the monitoring period, respectively. The comprehensive quality assessment module is used to calculate the comprehensive coupled aging risk index rdi based on the protective layer deformation trend index npt, corrosion electrical signal diffusion index ced, and environmental erosion interference index etf. It also sorts all comprehensive coupled aging risk indices rdi from smallest to largest according to the statistical method, and calculates the 25th percentile and 65th percentile values ​​using the quantile method. The 25th percentile value is preset as the first corrosion diffusion manifestation threshold P, and the 65th percentile value is preset as the second corrosion diffusion manifestation threshold Q. The module then compares the comprehensive coupled aging risk index rdi acquired in real time with the building performance risk assessment. ； In the formula, ln represents the logarithmic function; The specific assessment plan is as follows; rdi < P indicates that the protective layer is attenuating normally, there is no trend of corrosion diffusion, and the building structure is stable. P≤rdi≤Q indicates that there is a corrosion tendency, but the structural performance of the building components is not affected. rdi > Q indicates that the corrosion trend affects the structural performance of building components; The decision response module is used to execute corresponding instructions in a graded manner based on the results of the building performance risk assessment.

2. The data analysis-based building quality and safety inspection system according to claim 1, characterized in that: The data acquisition module includes a data acquisition unit and a preprocessing unit; The data acquisition unit is used to collect real-time durability data of the concrete wrapping layer protecting the reinforcing steel bars based on the acquisition equipment. The durability data includes concrete wrapping thickness pt, rebound strength value eq, and ultrasonic propagation velocity vs; The data acquisition equipment includes a rebar scanner, a rebound hammer, and a concrete ultrasonic testing instrument. The rebar scanner is used to collect the thickness (pt) of the concrete wrapping layer. The rebound hammer is used to collect the rebound strength value eq of the concrete wrapping layer; The ultrasonic testing instrument for concrete is used to collect the propagation speed vs of ultrasonic waves in the concrete coating layer; The preprocessing unit is used to establish a communication connection between the acquisition device and the building quality and safety inspection system based on the communication network, and to transmit the acquired index data to the building quality and safety inspection system in real time for preprocessing. The preprocessing includes dimensionless processing, outlier handling, and missing value imputation. The dimensionless processing removes the dimensional influence of durability data using the Max-Min method. Outlier handling detects and processes outliers in durability data using the interquartile range method. Missing value handling fills in missing values ​​in durability data using the mean imputation method.

3. The data analysis-based building quality and safety inspection system according to claim 2, characterized in that: The deformation analysis module includes a protective layer deformation analysis unit and a protective layer stability assessment unit; The protective layer deformation analysis unit is used to calculate based on the pre-processed durability data to obtain the protective layer deformation trend index npt, which is used to measure the strength of the change trend of the steel reinforcement protective layer thickness.

4. The data analysis-based building quality and safety inspection system according to claim 3, characterized in that: The protective layer stability assessment unit is used to calculate the mean value of the protective layer deformation trend index npt over the past three months using statistical methods. and standard deviation and based on the mean and standard deviation A preset aging trend manifestation threshold Z is set, and then compared with the real-time acquired protective layer deformation trend index npt. Based on the comparison results, the degradation assessment of the concrete wrapping layer is carried out. The specific assessment scheme is as follows. When the deformation trend index npt of the protective layer is less than the aging trend manifestation threshold Z, it indicates that the concrete wrapping layer is in a stable state, and the normal monitoring frequency should be maintained at this time. When the protective layer deformation trend index npt is greater than or equal to the aging trend manifestation threshold Z, it indicates that the concrete coating layer is degraded. At this time, degradation information is generated and transmitted to the relevant personnel's user terminal through the communication network, and the aging corrosion analysis command is executed.

5. A data analysis-based building quality and safety inspection system according to claim 4, characterized in that: The corrosion response analysis module is used to execute aging corrosion analysis instructions when the degradation assessment of the concrete coating layer indicates that the concrete coating layer has degraded. Specifically, it includes a corrosion acquisition unit and a response analysis unit. The corrosion acquisition unit is used to collect steel reinforcement performance data and environmental response data in real time based on the acquisition equipment and sensor group, and transmit them to the building quality and safety testing system for preprocessing via the communication network. The steel reinforcement performance data includes steel corrosion potential ec, concrete resistivity pc, and corrosion current density di. The environmental response data includes ambient temperature (wd) and ambient humidity (sd); The data acquisition device is a steel corrosion detector; The sensor group includes a temperature sensor and a humidity sensor; The temperature sensor is used to collect ambient temperature, and the humidity sensor is used to collect ambient humidity.

6. A data analysis-based building quality and safety inspection system according to claim 5, characterized in that: The response analysis unit is used to calculate the corrosion electrical signal diffusion index ced and the environmental erosion interference index etf based on the pre-processed steel reinforcement performance data and environmental response data, respectively. The corrosion electrical signal diffusion index ced represents the degree of dispersion of the potential response of the corrosion point during the spatial diffusion process, and is used to identify corrosion anomaly areas with unstable potential fields and drastic abrupt changes. The environmental erosion disturbance index etf is used to analyze the catalytic effect of the external environment on the degree of corrosion activity.

7. A data analysis-based building quality and safety inspection system according to claim 6, characterized in that: The comprehensive quality assessment module includes a coupled aging analysis unit and a building quality assessment unit; The coupled aging analysis unit is used to perform comprehensive calculations based on the obtained protective layer deformation trend index npt, corrosion electrical signal diffusion index ced, and environmental erosion interference index etf to obtain the comprehensive coupled aging risk index rdi, which is used to comprehensively measure the combined effects of the physical stability, corrosion disturbance activity, and environmentally induced corrosion intensity of the steel reinforcement protective layer.

8. A data analysis-based building quality and safety inspection system according to claim 7, characterized in that: The housing quality assessment unit is used to conduct housing performance risk assessments, and the specific assessment plan is as follows; When the comprehensive coupled aging risk index rdi < the first corrosion diffusion manifestation threshold P, it indicates that the protective layer is at normal decay, there is no corrosion diffusion trend, the building structure is stable, and the first information instruction is executed at this time. When the first corrosion diffusion manifestation threshold P ≤ the comprehensive coupled aging risk index rdi ≤ the second corrosion diffusion manifestation threshold Q, it indicates that there is a corrosion trend, but the structural performance of the building components is not affected. At this time, the second information instruction is executed. When the comprehensive coupled aging risk index rdi > the second corrosion diffusion manifestation threshold Q, it indicates that the corrosion trend is affecting the structural performance of the building components, and the third information instruction is executed at this time.

9. A data analysis-based building quality and safety inspection system according to claim 8, characterized in that: The decision response module is used to execute corresponding instructions in a graded manner based on the results of the building performance risk assessment, as follows; The first information instruction is to generate preventive information and transmit it to relevant departments, notifying them to apply a chemical sealant coating to the protective layer and maintain normal monitoring. The second information instruction is to generate corrosion information and transmit it to relevant departments, notify them to carry out corrosion blocking treatment, seal the corrosion source, and apply a chemical sealant coating. The third information instruction is to generate risk information and transmit it to relevant departments, notify them to evacuate personnel, and carry out structural repairs and reconstruction of the composite protective layer.

10. A data analysis-based method for inspecting building quality and safety, using the data analysis-based building quality and safety inspection system according to any one of claims 1-9, characterized in that: Includes the following steps: S1. Collect durability data of the concrete wrapping layer and transmit it to the building quality and safety testing system for preprocessing; S2. Calculate the protective layer deformation trend index npt based on the pre-treated durability data to assess the degradation of the concrete wrapping layer, and execute the aging corrosion analysis command when the assessment indicates that the concrete wrapping layer has degraded. S3. Execute the aging corrosion analysis command, collect steel bar performance data and environmental response data in real time, and transmit them to the building quality and safety testing system for preprocessing. Then, calculate the corrosion electrical signal diffusion index ced and the environmental erosion interference index etf based on the preprocessed steel bar performance data and environmental response data. S4. Based on the protective layer deformation trend index npt, corrosion electrical signal diffusion index ced and environmental erosion interference index etf, the comprehensive coupled aging risk index rdi is calculated and compared with the first corrosion diffusion manifestation threshold P and the second corrosion diffusion manifestation threshold Q to conduct a building performance risk assessment. S5. Execute corresponding instructions according to the graded risk assessment results of the building performance.

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