A smart and resilient urban and rural public service management system and method

Abstract

This invention proposes a smart and resilient urban and rural public service management system and method. The system includes a data acquisition module, a data processing module, a model building module, and an evaluation and calculation module. By collecting data from seismic sensors installed on building structures and converting it into corresponding data for the building structure, the impact of the building structure on the public service performance is studied. Utilizing the supercomputing and storage capabilities of cloud computing, the public service performance evaluation and health monitoring of complex building structure systems are achieved.

Description

Technical Field

[0001] This invention relates to the field of urban and rural resilience management technology, and in particular to a smart and resilient urban and rural public service management system and method. Background Technology

[0002] A resilient city is a city or urban system capable of mitigating and resisting external shocks, maintaining its key characteristics and functions without significant impact. In other words, when disasters occur, a resilient city can withstand the impact, respond and recover quickly, maintain normal urban functions, and better adapt to future disaster risks. A resilient city is a sustainable network composed of physical systems and human communities. Physical systems are the natural and man-made environmental elements within the city, forming the foundation for urban public services. These include constructed roads, buildings, infrastructure, communications, energy, as well as water systems, soil, topography, geology, and other natural systems. During disasters, physical systems must be able to survive extreme stress and continue to function. If most of the physical systems suffer irreparable damage, the city's losses will be exacerbated and recovery slowed. A city without resilient physical systems will be extremely vulnerable to disasters, and public services will be impossible to provide.

[0003] Current research on public service management for urban resilience largely focuses on the management and evaluation of the entire urban public service system. For example, Chinese patent CN115169814A discloses a method for characterizing and measuring the disaster resilience of urban public services. From the perspective of urban system linkage and coordination, it regards the urban street network as the basic framework of urban spatial form, integrates urban functions such as residence, public services, and transportation, constructs a complex urban spatial network, and depicts the matching process from the supply side to the demand side of urban services under the support of multiple systems, calculating the intensity of the impact of disaster processes on the overall operation of the urban complex system and the normal life of residents. However, the results reflected are too broad and do not target any specific aspect, such as building structure, for management and evaluation. This fails to reflect the public service performance of building structures, which are most relevant to our safety in resilient urban and rural areas. Therefore, how to design a smart and resilient urban and rural public service management system and method targeting building structures is an urgent technical problem that needs to be solved. Summary of the Invention

[0004] In view of this, the present invention proposes a smart resilient urban and rural public service management system and method to solve the problem that existing resilient urban and rural public service management cannot reflect the public service performance of building structures.

[0005] The technical solution of this invention is implemented as follows: On one hand, this invention provides a smart and resilient urban and rural public service management system, wherein the system includes:

[0006] Data acquisition module, data processing module, model building module, and evaluation calculation module;

[0007] The data acquisition module is electrically connected to the data processing module and is used to acquire data from the seismic sensors installed on the building structure and send the data to the data processing module.

[0008] The data processing module is electrically connected to the evaluation and calculation module, and is used to process the data of each of the seismic sensors to obtain the corresponding data of the building structure, and send the corresponding data of the building structure to the evaluation and calculation module.

[0009] The model building module is electrically connected to the evaluation calculation module and is used to build a physical twin model of the building structure based on the building structure's own data.

[0010] The evaluation and calculation module is used to input the corresponding data of the building structure into the building structure entity twin model to obtain and display the results of smart and resilient urban and rural public service management.

[0011] Based on the above technical solutions, preferably, the data of each of the vibration detectors is natural vibration data, including acceleration and duration. The natural vibration data is determined by the external environment and the arrangement of the vibration detectors, and the natural vibration data is collected in real time according to the effects of the external environment.

[0012] Based on the above technical solutions, preferably, the data processing module converts the natural vibration data into the acceleration, velocity, and displacement of the building structure through the acquisition device, outputs the natural vibration frequency of the building structure, and obtains the natural vibration period.

[0013] Based on the above technical solutions, preferably, the model building module is used to build a solid three-dimensional twin building structure model, including frame structure, frame-shear wall structure, shear wall structure, steel structure, high-rise structure, multi-story structure, and masonry structure.

[0014] Based on the above technical solutions, preferably, the evaluation and calculation module is used to receive the natural frequency of the building structure in real time, overlay it with the data of the three-dimensional twin building structure model, and then automatically generate the public service performance evaluation results according to national standards and emergency evaluation standards.

[0015] On the other hand, the present invention provides a smart and resilient urban and rural public service management method, which adopts the smart and resilient urban and rural public service management system as described above, and includes the following steps:

[0016] S1. Construct a solid three-dimensional twin building structure model, including frame structure, frame-shear wall structure, shear wall structure, steel structure, high-rise structure, multi-story structure, and masonry structure;

[0017] S2. Real-time acquisition of the natural vibration data of the main building structure through the seismic sensor, and conversion of the natural vibration acceleration, velocity and displacement of the building structure into the urban and rural ductile natural vibration frequency in the acquisition instrument;

[0018] S3. The automatically generated natural frequency is superimposed on the urban and rural physical model data and transmitted to the visualization system and public service platform system, ultimately generating two results: the initial natural period and the measured natural period.

[0019] Based on the above technical solutions, preferably, the urban and rural entity model data includes the initial natural vibration period and the measured period.

[0020] The intelligent and resilient urban and rural public service management system and method of the present invention have the following advantages over the prior art:

[0021] Beneficial effects:

[0022] (1) By collecting data from the seismic sensors installed on the building structure and converting it into corresponding data of the building structure, the impact of the building structure on the public service performance of the building structure is studied. The supercomputing and storage capabilities of cloud computing are used to realize the public service performance assessment and health monitoring of complex building structure systems.

[0023] (2) By testing different structural types and comparing the results with the original building structure calculation model, the optimal layout method is studied, including the minimum number of sensors and the number of data acquisition channels.

[0024] (3) Based on the extraction of state features and safety assessment criteria, a building structure health (damage) status identification algorithm is established by combining static identification methods and dynamic identification methods to realize real-time identification and early warning of building structure status. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a block diagram of the intelligent and resilient urban and rural public service management system of the present invention;

[0027] Figure 2 This is a flowchart of the intelligent and resilient urban and rural public service management method of the present invention. Detailed Implementation

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0029] Example 1

[0030] like Figure 1 As shown, the present invention provides a smart and resilient urban and rural public service management system, wherein the system includes:

[0031] Data acquisition module, data processing module, model building module, and evaluation calculation module;

[0032] The data acquisition module is electrically connected to the data processing module and is used to acquire data from the seismic sensors installed on the building structure and send the data to the data processing module.

[0033] The data processing module is electrically connected to the evaluation and calculation module, and is used to process the data of each of the seismic sensors to obtain the corresponding data of the building structure, and send the corresponding data of the building structure to the evaluation and calculation module.

[0034] The model building module is electrically connected to the evaluation calculation module and is used to build a physical twin model of the building structure based on the building structure's own data.

[0035] The evaluation and calculation module is used to input the corresponding data of the building structure into the building structure entity twin model to obtain and display the results of smart and resilient urban and rural public service management.

[0036] This system collects data from the seismic sensors installed on the building structure and converts it into corresponding data for the building structure. It studies the impact of the building structure on the public service performance of the public service. By utilizing the supercomputing and storage capabilities of cloud computing, it can realize the public service performance assessment and health monitoring of complex building structure systems. The results are presented through a visual and operable platform, which can directly provide comprehensive information for resilient urban and rural public service management.

[0037] The data of each of the vibration detectors is natural vibration data, including acceleration and duration. The natural vibration data is determined by the external environment and the arrangement of the vibration detectors, and the natural vibration data is collected in real time according to the effects of the external environment.

[0038] The data acquisition module uses seismic sensors to monitor the building structure.

[0039] (1) Research on monitoring indicators for different building structure types.

[0040] The purpose of using seismic motion detectors to monitor different structural types is to determine the structural performance during seismic response. The following monitoring indicators will be studied:

[0041] 1) Seismic acceleration response values ​​in the X, Y, and Z directions (in a spatial rectangular coordinate system). The ground acceleration during an earthquake can be used as a basis for determining the intensity. When establishing seismic fortification standards based on intensity, a corresponding peak ground acceleration is often given for each intensity. For example, China's new seismic intensity table (1980) stipulates that the average peak ground acceleration values ​​for intensities VII, VIII, IX, and X are 0.125g, 0.25g, 0.5g, and 1.0g, respectively.

[0042] 2) Displacement of the main structure, including the movement of points on the structure (linear displacement) or the rotation of sections (angular displacement). This is mainly caused by load application, temperature changes, support settlement, errors in the dimensions of structural members, and changes in the properties of structural materials over time. Structural displacement calculation is primarily used in structural stiffness analysis and is also a crucial foundation for the analysis of statically indeterminate structures (see static analysis of truss structures).

[0043] 3) Structural dynamic characteristic values, which are the basic physical quantities that represent the dynamic characteristics of a structure. They generally refer to the structure's natural period or natural frequency, mode shape, and damping.

[0044] 4) Measurement of wind speed, wind field distribution, temperature difference and humidity along the height direction.

[0045] (2) Study on the arrangement methods of seismic pickups of different structural types.

[0046] The measurement system installed on each floor consists of the following components: 1) a DASPV10 portable modal testing system equipped with a GPS receiving antenna; 2) a tiltable circular prism installed below each GPS receiving antenna; and 3) a measurement station (TPS) instrument installed on the top of each structural type. The measurement and monitoring system periodically measures the actual displacement of the building. All periodic measurements are conducted at the same time point, and a finite element analysis model is established for comparative analysis. By comparing the results of the tests with the original building structure calculation model after arranging different structural types, the optimal arrangement method, including the minimum number of sensors and data acquisition channels, is studied.

[0047] (3) Quantification method for the reliability of seismic motion detector monitoring.

[0048] A quantitative study on the reliability of data collected by the real-time monitoring system was conducted: 1) Research on the front-end data of accelerometers and seismic pickups, performing probability statistics to quantify the reliability; 2) For the complete GPS system, the spatial coordinate values ​​collected were used to determine the reference coordinate system, and the displacement angle and displacement ratio were quantified; 3) Meteorological stations measuring the top-floor temperature, humidity, wind speed, and wind direction were used. The impact of building structure environmental indicators on the quantitative data of the monitoring system's reliability was analyzed.

[0049] (4) Comparative study of current national standards and reliable standards.

[0050] A comparative study of current national standards and quantitative data on assured reliability:

[0051] 1) An accelerometer is installed on the top surface of the foundation to collect the foundation acceleration. The dynamic characteristic index of the building structure obtained by Fourier conversion is compared with the current national standard and specification values.

[0052] 2) Measure the real-time acceleration values ​​of all floors of the tower, compare the measured values ​​and the calculated values ​​from the model, and analyze the quantitative reliability indicators and the results of the comparison with national standards;

[0053] 3) Install a GPS system to measure structural displacement, and compare the displacement values ​​with the results of the research and analysis.

[0054] 4) Four ultrasonic anemometers are installed at the top to measure wind speed and direction, and the environmental index data results are compared with the standard values.

[0055] 5) Set up a meteorological station on the top floor to measure wind speed, wind direction, relative humidity and temperature, and compare the environmental index data results with the standard values.

[0056] The data processing module converts the natural vibration data (using Fourier basis algorithm) into the acceleration, velocity, and displacement of the building structure through a data acquisition device, outputs the natural vibration frequency of the building structure, and obtains the natural vibration period.

[0057] (1) Study on the calibration test of seismic vibration pickup against electronic interference.

[0058] After deploying the seismic vibration detectors, the calibration test objects are set according to the environmental interference sources:

[0059] 1) The factors determining whether protective measures are needed when the intensity of interference waves emitted by the structured cabling system exceeds the specified value due to the presence of interference sources in the working environment are complex.

[0060] 2) Single interference source environmental calibration test: Each identified interference source is tested in practice, and the calibration output value is consistent with the test results and meets the specification requirements.

[0061] 3) Coupled interference source environment calibration test, conduct two or more sets of combined tests, use matrix calculation to rank the importance of each factor, and correct the factor of the calibration test results;

[0062] 4) Comparison test of test calibration values ​​and calculated calibration values. After the test results obtained through the above three steps are uniformly verified under the on-site test conditions, numerical comparison analysis tests are conducted to fit the output parameters of the test standard values ​​and the calculated calibration values.

[0063] (2) Study on response calibration test of different structural types of seismic vibration pickup.

[0064] After deploying seismic vibration detectors, response calibration tests were conducted on different structural types:

[0065] 1) Frame structure: The target was controlled by a displacement angle of 1 / 550 for calibration of the measured items, and the data values ​​read from the frame structure were statistically analyzed;

[0066] 2) Shear wall structure: The measured items were calibrated using a displacement angle control target of 1 / 1000, and the data values ​​of the shear wall structure were statistically analyzed;

[0067] 3) Steel structure: Calibrate the measured items using a displacement angle control target of 1 / 250, and statistically analyze the data values ​​read from the steel structure;

[0068] 4) Masonry structure: The measured items were calibrated using a displacement angle of 1 / 1000 as the control target, and the data values ​​of the masonry structure were statistically analyzed.

[0069] (3) Research on wireless transmission calibration test of seismic vibration pickup data.

[0070] Deployment of seismic vibration pickup sensor front-end, wireless transmission distance and accuracy calibration test:

[0071] 1) Horizontal distance of wireless transmission in multi-story building structures for accuracy testing;

[0072] 2) Horizontal distance of high-rise building structure layout and wireless transmission accuracy test.

[0073] The model building module is used to construct a three-dimensional twin building structure model, including frame structure, frame-shear wall structure, shear wall structure, steel structure, high-rise structure, multi-story structure, and masonry structure.

[0074] Building structural margin and degradation modeling:

[0075] (1) Establish the margin equation. Conduct functional, performance and margin analysis to study and analyze the key performance of the structure and its threshold; conduct response surface experimental design, and obtain multiple sets of experimental data through finite element simulation tests and solid tests of building structures; analyze the relationship between key performance parameters and intrinsic properties (such as size, material, etc.) and extrinsic properties (such as working stress, environmental stress, etc.), and establish a response surface proxy model for performance parameters; then combine the obtained performance thresholds to obtain the performance margin equation of the building structure.

[0076] (2) Establishing degradation equations. Through research on degradation mechanisms and consultation with experts in the civil engineering industry, parameters that need to be considered for degradation are selected. Based on their degradation characteristics and actual conditions, theoretical or empirical models of degradation parameters are selected and established. Further parameter estimation is performed based on physical analysis, historical data or simulation test data to obtain the degradation equations of building structures.

[0077] Analysis and Quantitative Characterization of Uncertainty Factors Throughout the Life Cycle of Building Structures:

[0078] (1) Identification of uncertainties throughout the entire life cycle. Through on-site inspections and data research throughout the entire process of building structure design, production, transportation, assembly, and use, various uncertainties are identified.

[0079] (2) Quantitative characterization of uncertainties throughout the life cycle. Factor analysis is conducted on the various uncertainties obtained from the analysis to establish the correspondence between uncertainties and structural design parameters. That is, the impact of uncertainties is characterized by the distribution of structural parameters. The sources of uncertainty of structural parameters are identified. Parameters mainly affected by inherent uncertainty are described as random variables, while parameters mainly affected by cognitive uncertainty are described as uncertain variables. Furthermore, the distribution of random variables or uncertain variables is obtained through probability statistics or uncertainty statistics methods.

[0080] (3) Calculate the certainty reliability. Based on the margin equation, the degradation equation and the parameter distribution information obtained by uncertainty quantification, establish a certainty reliability calculation model and calculation method for commonly used components of building structures (such as precast shear walls, precast beams, seismic isolation bearings, etc.); on the basis of the certainty reliability calculation at the component level, further study the certainty reliability calculation model and calculation method for complex structural systems composed of multiple components.

[0081] The evaluation and calculation module is used to receive the natural frequency of the building structure in real time, and superimpose it with the data of the three-dimensional twin building structure model (modal decomposition response spectrum method and elastic dynamic time history), and then automatically generate the public service performance evaluation results according to national standards and emergency evaluation standards.

[0082] Identification of structural health (damage) status in buildings:

[0083] (1) State feature extraction. The static and dynamic data obtained by the data acquisition module are processed to extract feature parameters, and the noise signal is analyzed and controlled.

[0084] (2) Determine structural safety assessment criteria. Based on the assurance and reliability analysis of building structures and combined with the structural condition characteristics of buildings in high-intensity earthquake areas, establish structural safety and economic assessment criteria based on assurance and reliability theory as the basis for identifying and judging the health status of building structures.

[0085] (3) Establish a structural health (damage) status identification algorithm. Based on the state feature extraction and safety assessment criteria, and by combining static and dynamic identification methods, an identification algorithm for the health (damage) status of building structures is established to achieve real-time identification and early warning of building structural status.

[0086] This system collects data from the seismic sensors installed on the building structure and converts it into corresponding data for the building structure. It studies the impact of the building structure on the public service performance of the public service. By utilizing the supercomputing and storage capabilities of cloud computing, it can realize the public service performance assessment and health monitoring of complex building structure systems. The results are presented through a visual and operable platform, which can directly provide comprehensive information for resilient urban and rural public service management.

[0087] Example 2

[0088] like Figure 2 As shown, a smart and resilient urban and rural public service management method is provided, which adopts the smart and resilient urban and rural public service management system as described in Embodiment 1, wherein the method includes the following steps:

[0089] S1. Construct a solid three-dimensional twin building structure model, including frame structure, frame-shear wall structure, shear wall structure, steel structure, high-rise structure, multi-story structure, and masonry structure;

[0090] S2. Real-time acquisition of the natural vibration data of the main building structure through the seismic sensor, and conversion of the natural vibration acceleration, velocity and displacement of the building structure into the urban and rural ductile natural vibration frequency in the acquisition instrument;

[0091] S3. The automatically generated natural frequency is superimposed on the urban and rural physical model data and transmitted to the visualization system and public service platform system, ultimately generating two results: the initial natural period and the measured natural period.

[0092] First, the building structure's reinforcement twin model and natural frequency acquisition system meet national standards.

[0093] Then, the natural frequency data determined by the external environment and the arrangement of the seismic sensors are completed by the seismic sensor acquisition platform, including the initial natural period and the measured natural period.

[0094] Finally, the data is input into the seismic sensor platform to complete the output of smart resilient urban and rural public service indicators and automatically generate public service indicators.

[0095] The urban and rural entity model data includes the initial natural vibration period and the measured period.

[0096] The initial natural vibration period information is determined by the original design data, and the measured period is determined based on the external environment and the arrangement of the seismic sensors.

[0097] This method collects data from seismic sensors installed on building structures and converts it into corresponding data for the building structure. It studies the impact of the building structure on the public service performance of the building structure. By utilizing the supercomputing and storage capabilities of cloud computing, it realizes the public service performance assessment and health monitoring of complex building structure systems. The results are presented through a visual and operable platform, which can directly provide comprehensive information for resilient urban and rural public service management.

[0098] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart and resilient urban and rural public service management system, characterized in that: The system includes: Data acquisition module, data processing module, model building module, and evaluation calculation module; The data acquisition module is electrically connected to the data processing module and is used to acquire data from the seismic sensors installed on the building structure and send the data to the data processing module. The data from each seismic sensor is natural vibration data, including acceleration and duration. The natural vibration data is determined by the external environment and the arrangement of the seismic sensors, and the natural vibration data is acquired in real time according to the effects of the external environment. The data processing module is electrically connected to the evaluation and calculation module, and is used to process the data of each of the seismic sensors to obtain the corresponding data of the building structure, and send the corresponding data of the building structure to the evaluation and calculation module. The data processing module converts the natural vibration data into the acceleration, velocity, and displacement of the building structure through the data acquisition device, outputs the natural vibration frequency of the building structure, and obtains the natural vibration period. The model building module is electrically connected to the evaluation calculation module and is used to build a physical twin model of the building structure based on the building structure's own data. The model building module is used to build solid three-dimensional twin building structure models, including frame structures, frame-shear wall structures, shear wall structures, steel structures, high-rise structures, multi-story structures, and masonry structures. The model building module is used to obtain the performance margin equation of the building structure based on the key performance and corresponding thresholds of multiple structures. The model building module is used to select degradation parameters to build an empirical model, and based on the empirical model, to estimate parameters according to physical analysis, historical data or simulation test data to obtain the degradation equation of the building structure. The model building module is used to obtain the distribution of uncertain variables in the entire life cycle of the building structure through probabilistic statistical methods, and to calculate the reliability of commonly used components in the building structure through the performance margin equation, the degradation equation and the distribution of uncertain variables. The evaluation and calculation module is used to input the corresponding data of the building structure into the building structure entity twin model to obtain and display the results of smart and resilient urban and rural public service management.

2. The intelligent and resilient urban and rural public service management system as described in claim 1, characterized in that: The evaluation and calculation module is used to receive the natural frequency of the building structure in real time, overlay it with the data of the three-dimensional twin building structure model, and then automatically generate the public service performance evaluation results according to national standards and emergency evaluation standards.

3. A smart resilient urban and rural public service management method of the smart resilient urban and rural public service management system as described in any one of claims 1-2, characterized in that: Includes the following steps: S1. Construct a solid three-dimensional twin building structure model, including frame structure, frame-shear wall structure, shear wall structure, steel structure, high-rise structure, multi-story structure, and masonry structure; S2. Real-time acquisition of the natural vibration data of the main building structure through the seismic sensor, and conversion of the natural vibration acceleration, velocity and displacement of the building structure into the urban and rural ductile natural vibration frequency in the acquisition instrument; S3. The automatically generated natural frequency is superimposed on the urban and rural physical model data and transmitted to the visualization system and public service platform system, ultimately generating two results: the initial natural period and the measured natural period.

4. The intelligent and resilient urban and rural public service management method as described in claim 3, characterized in that: The urban and rural entity model data includes the initial natural vibration period and the measured period.

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