Periodic detection and maintenance method and system for seismic isolation support and anti-seismic support of public building

The digital inspection and maintenance system, which combines QR code identification with mobile terminals, has solved the problems of inaccurate inspection and cumbersome maintenance of seismic isolation bearings and seismic bracing in public buildings. It has achieved efficient and accurate inspection and maintenance, and reduced the pressure and cost of manual labor.

CN121745897APending Publication Date: 2026-03-27CHINA FIRST METALLURGICAL GROUP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-02
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

The existing technology for the periodic inspection and maintenance of seismic isolation bearings and seismic bracing for public buildings suffers from problems such as high manual workload, inaccurate inspection, cumbersome maintenance, high cost, and weak trend prediction ability, making it difficult to meet the needs of standardized and precise seismic operation and maintenance.

Method used

By constructing a standardized, digitalized, and closed-loop testing and maintenance system, and combining QR code identification with mobile terminals, a database linking component locations, design parameters, and historical records is established. Real-time testing and trend analysis are conducted in conjunction with environmental data to formulate tiered maintenance plans, and closed-loop verification is performed through mobile terminals.

Benefits of technology

It has achieved a 90% improvement in the accuracy of detection data, an increase in detection coverage from 60%-70% to 100%, a 30%-40% reduction in invalid detection frequency, performance degradation warnings 3-6 months in advance, a reduction in maintenance response time to 12 hours, and an overall cost reduction.

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Abstract

The invention discloses a regular detection and maintenance method and system for a seismic isolation support and an anti-seismic support of a public building, belongs to the field of anti-seismic maintenance of constructional engineering, and aims to solve the problems of high manual operation pressure, inaccurate detection, tedious maintenance, high cost and weak performance trend pre-judgment in the prior art. Component parameters are exported through BIM to generate a unique two-dimensional code, and a digital file containing design data, historical records and spare part information is established in combination with a mobile terminal APP; a laser range finder, a digital display torque wrench and the like are used for collecting data periodically, and hidden parts are marked and recorded through images; trend pre-judgment is realized through data comparison, linear regression and environment association; and carrying out graded maintenance according to early warning, carrying out re-sampling verification within 48 hours, and dynamically adjusting the detection period. No additional special equipment is needed, the detection accuracy and the maintenance efficiency can be improved, the cost is reduced, and the performance of the shock insulation support and the anti-seismic support can continuously reach the standard.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of seismic maintenance of building engineering, and in particular to a periodic detection and maintenance method and system for seismic isolation supports and seismic supports of public buildings. BACKGROUND

[0002] In the seismic safety system of public buildings, seismic isolation supports and seismic supports are the core components for ensuring the stability of the structure and the continuity of the function: the seismic isolation supports reduce the stress of the main structure by absorbing seismic energy, and the state of displacement and crack directly determines the seismic bottom line of the building; the seismic supports avoid secondary disasters by fixing the pipeline system, and the bolt torque and the degree of corrosion affect the integrity of the pipeline function in disasters. With the improvement of the seismic resilience requirements of public buildings, periodic detection and maintenance of the two types of components have gradually become the key to operation and maintenance, but the existing technology still has many shortcomings. For example, the monitoring objects are one-sided, the data dimensions are single, or they are limited to specific scenarios, the cost of modification is high, or there is a lack of a whole-process management mechanism of "data collection-trend analysis-classified maintenance-closed-loop verification", which leads to problems such as heavy manual operation pressure, low detection accuracy, hidden danger discovery lag, insufficient maintenance efficiency, and high comprehensive cost of public building seismic isolation supports and seismic supports, which is difficult to meet the standardized and precise needs of personnel-intensive public buildings for seismic operation and maintenance. SUMMARY

[0003] To solve the problems of heavy manual operation pressure, inaccurate detection, complicated maintenance, high cost and weak trend prediction ability in the prior art, the present application provides a periodic detection and maintenance method for seismic isolation supports and seismic supports of public buildings, which builds a standardized, digital and closed-loop detection and maintenance system through innovative combination of existing tools.

[0004] In the first aspect, the present application provides a periodic detection and maintenance method for seismic isolation supports and seismic supports of public buildings, comprising: adopting a building information model (BIM) to export a seismic isolation support and seismic support layout diagram of a target building to obtain component position coordinates, and assigning a unique two-dimensional code identifier to each component, wherein the two-dimensional code contains component position coordinates and design parameters; based on a mobile terminal, inputting component design parameters and historical detection data, establishing an associated database of two-dimensional code identifier-design parameter-component position-history record, and simultaneously associating spare parts supplier information and standard maintenance manuals of corresponding component models in the database; obtaining real-time data collected by seismic isolation supports and seismic supports within a detection period, processing the collected real-time data, comparing the current value with the design value in the associated database and comparing the current value with the historical same period value in the associated database, and determining the detection result in combination with the environmental temperature and humidity; Based on the test results, a graded maintenance plan is formulated. After the maintenance is completed in accordance with the plan, real-time data of the seismic isolation bearings and seismic bracing are collected again within a preset time. The data is then updated to the corresponding component files via mobile terminals, and the post-maintenance status is marked.

[0005] In some instances, acquiring real-time data from seismic isolation bearings and seismic bracing collected during the testing period includes: Scan the QR code with a mobile terminal to access the corresponding component file, manually enter or transmit the test data via Bluetooth, associate the test data with the corresponding component file, and divide the sampling area according to the building structure stress drawings. The first-level area adopts 100% full inspection, and uses a laser line projector to assist in locating displacement measurement points. The second-level area is randomly sampled according to the proportion. The sampled samples are marked with sampling labels in the mobile terminal. Among them, the data collection of seismic isolation bearings includes: according to the first cycle, the horizontal displacement and vertical compression are collected using a laser rangefinder, the surface cracks are measured using a crack width meter, and for special types of components including lead core seismic isolation bearings, the thickness of the anti-corrosion coating of steel parts is additionally detected using a magnetic coating thickness gauge. The data collection for seismic bracing includes: using a digital torque wrench to detect the actual torque of bolts on exposed brackets during the second cycle; verifying the installation spacing and pipeline fitting gaps with a steel tape measure; and taking images of connectors using a mobile terminal camera for concealed parts, including those inside the ceiling and manholes, marking the percentage of rusted area and the number of loose bolts in the images.

[0006] In some instances, the process of collecting real-time data, comparing the current value with the design value in the associated database and comparing the current value with historical values ​​from the same period in the associated database, and determining the detection result in conjunction with ambient temperature and humidity, includes: The collected seismic isolation bearing data and seismic bracing data are processed, and the current value is automatically compared with the design value and the historical value of the same period. For the bearing displacement value, bracing torque value, anti-corrosion coating thickness, number of loose bolts, installation spacing and pipeline fitting gap of several consecutive tests, the annual attenuation rate is calculated by linear regression formula and a trend curve is generated. If the attenuation rate exceeds the corresponding preset threshold, the warning information is pushed to the management personnel through the mobile terminal. If the thickness of the anti-corrosion coating in a single test is less than the standard thickness, or if the linear regression shows that the annual thinning rate of the coating is greater than the preset threshold for annual attenuation of the anti-corrosion coating thickness, then the temperature and humidity data will be automatically associated. If the ambient humidity is greater than the preset humidity threshold, then the test cycle will be shortened. Simultaneously, historical temperature and humidity data from the building operation and maintenance system are accessed to establish correlation formulas between temperature / humidity and bearing rubber aging rate, and humidity and bracket corrosion degree. When environmental parameters exceed the tolerance range of the components, the inspection cycle of the components in that area is automatically shortened.

[0007] In some instances, the development of a tiered maintenance plan based on the test results includes: For seismic isolation bearing warning items, if only the displacement exceeds the tolerance, use a jack and a horizontal displacement adjuster to fine-tune it to the design range; if the crack width is greater than the preset crack threshold or the bearing capacity fails the spot check, remove and replace the bearing with the same model; for seismic bracing warning items, if the bolt torque is insufficient, use a digital torque wrench to retighten it according to the design value; if the corrosion reaches a severe level or the connecting parts are deformed, replace the channel steel / bolts of the same specification and update the component status in the BIM model simultaneously; when a replacement warning is triggered, the mobile terminal will automatically push the spare parts procurement link and maintenance step guidance.

[0008] In some instances, the step of re-collecting real-time data of seismic isolation bearings and seismic bracing within a preset time after maintenance according to the maintenance plan, updating the corresponding component files via mobile terminals, and marking the post-maintenance status includes: After maintenance is completed according to the maintenance plan, within a preset time, real-time data of seismic isolation bearings and seismic bracing are collected again and updated to the corresponding component files via mobile terminals to mark the post-maintenance status. If the re-collected data still does not meet the standards, a second warning is triggered and the maintenance level is upgraded. A component health report is generated through mobile terminals, the proportion of components is statistically analyzed at different levels, and the results are displayed visually. For components that receive an "Excellent" rating several times in a row, the system will automatically mark them as low-risk in the file and extend the testing cycle.

[0009] Secondly, the present invention provides a system for the periodic inspection and maintenance of seismic isolation bearings and seismic bracing for public buildings, comprising: The digital archive module is used to export the layout diagram of seismic isolation bearings and seismic bracing of the target building using Building Information Modeling (BIM) to obtain the component location coordinates. Each component is assigned a unique QR code identifier, in which the QR code contains the component location coordinates and design parameters. Based on the input of component design parameters and historical test data by mobile terminal, a related database of QR code identifier - design parameters - component location - historical records is established. At the same time, the database is associated with the spare parts supplier information and standard maintenance manual of the corresponding component model. The data acquisition module is used to acquire real-time data of seismic isolation bearings and seismic bracing during the testing period and to process the acquired real-time data. The trend prediction module is used to compare the current value with the design value in the associated database and with the historical values ​​of the same period in the associated database, and to determine the detection result in combination with the ambient temperature and humidity. The maintenance execution module is used to develop a tiered maintenance plan based on the test results. The closed-loop verification module is used to re-collect real-time data of seismic isolation bearings and seismic bracing within a preset time after maintenance is completed according to the maintenance plan, and update the corresponding component files through mobile terminals to mark the post-maintenance status.

[0010] In some instances, the data acquisition module is specifically used to scan a QR code via a mobile terminal to access the corresponding component file, manually input or transmit test data via Bluetooth, associate the test data with the corresponding component file, and divide the sampling area in conjunction with the building structure stress drawings. The first-level area adopts 100% full inspection, and uses a laser line projector to assist in locating displacement measurement points. The second-level area is randomly sampled according to a ratio. The sampled samples are marked with sampling labels in the mobile terminal. Among them, the seismic isolation bearing data acquisition includes: according to the first cycle, using a laser rangefinder to collect horizontal displacement and vertical compression, using a crack width meter to measure surface cracks, and for special types of components including lead core seismic isolation bearings, using a magnetic coating thickness gauge to detect the thickness of the anti-corrosion coating of steel parts. The data collection for seismic bracing includes: according to the second cycle, using a digital torque wrench to detect the actual torque of bolts on exposed brackets, using a steel tape measure to verify the installation spacing and pipeline fitting gap, and using a mobile terminal camera to capture images of connectors in concealed areas, including inside the ceiling and in pipe wells, marking the percentage of rusted area and the number of loose bolts in the images.

[0011] In some instances, the trend prediction module is specifically used to process the collected seismic isolation bearing data and seismic bracing data, automatically compare the current value with the design value and the current value with the historical values ​​of the same period, and calculate the annual attenuation rate for the bearing displacement value, bracing torque value, anti-corrosion coating thickness, number of loose bolts, installation spacing and pipeline fitting gap of several consecutive tests using a linear regression formula to generate a trend curve. If the attenuation rate exceeds the corresponding preset threshold, an early warning information is pushed to the management personnel via a mobile terminal. If the thickness of the anti-corrosion coating in a single test is less than the standard thickness, or if the linear regression shows that the annual thinning rate of the coating is greater than the preset threshold for annual attenuation of the anti-corrosion coating thickness, then the temperature and humidity data will be automatically associated. If the ambient humidity is greater than the preset humidity threshold, then the test cycle will be shortened. Simultaneously, historical temperature and humidity data from the building operation and maintenance system are accessed to establish correlation formulas between temperature / humidity and bearing rubber aging rate, and humidity and bracket corrosion degree. When environmental parameters exceed the tolerance range of the components, the inspection cycle of the components in that area is automatically shortened.

[0012] In some instances, the maintenance execution module is specifically used for the following purposes: for seismic isolation bearing warning items, if only the displacement exceeds the tolerance, a jack is used in conjunction with a horizontal displacement adjuster to fine-tune it to the design range; if the crack width exceeds the preset crack threshold or the bearing capacity fails the spot check, the bearing is removed and replaced with the same model; for seismic bracing warning items, if the bolt torque is insufficient, a digital torque wrench is used to retighten it according to the design value; if the corrosion reaches a severe level or the connecting parts are deformed, the channel steel / bolt of the same specification is replaced, and the component status in the BIM model is updated synchronously; when a replacement warning is triggered, the mobile terminal automatically pushes a spare parts procurement link and maintenance step guidance.

[0013] In some instances, the closed-loop verification module is specifically used to re-collect real-time data of seismic isolation bearings and seismic bracing within a preset time after maintenance is completed according to the maintenance plan, update the corresponding component files via mobile terminals, and mark the post-maintenance status; if the re-collected data still does not meet the standards, a secondary warning is triggered and the maintenance level is upgraded, a component health report is generated through mobile terminals, the component proportion is statistically analyzed by level, and the data is visualized; for components that have been rated as excellent for several consecutive times, the low-risk status is automatically marked in the file and the testing cycle is extended.

[0014] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects: The construction of a standardized data chain: The binding of QR code identification with digital archives solves the problem of chaotic correspondence between "component-data-location" in traditional manual records, making each test data traceable to a specific component and time node, and improving data consistency by more than 90%; Full-scene detection coverage: The combination of mobile terminal cameras and marking tools breaks through the field of view limitations of hidden areas (inside ceilings, in pipe wells), and combined with laser line projection to assist in positioning, the detection coverage rate is increased from the traditional 60%-70% to 100%; Dynamic intelligent management: The correlation analysis between data processing tools and environmental data enables "on-demand adjustment" of the detection cycle (shortening high-risk areas and extending low-risk areas). Combined with trend prediction models, it reduces the frequency of invalid detections by 30%-40% and provides performance degradation warnings 3-6 months in advance. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.

[0016] Figure 1 This is a schematic diagram of the method provided in an embodiment of the present invention; Figure 2 This is a time-series diagram of data acquisition and trend prediction provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the system provided in an embodiment of the present invention. Detailed Implementation

[0017] 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.

[0018] In the following description, specific embodiments of the invention will be illustrated with reference to steps and symbols performed by one or more computers, unless otherwise stated. Therefore, these steps and operations will be referred to several times as being performed by a computer, and computer execution as referred to herein includes operations by a computer processing unit representing electronic signals of data in a structured format. This operation transforms the data or maintains it at a location in the computer's memory system, which can be reconfigured or otherwise alter the operation of the computer in a manner well known to those skilled in the art. The data structure maintained by the data is the physical location of the memory, which has specific characteristics defined by the data format. However, the principles of the invention described above are not intended to be limiting, and those skilled in the art will understand that many of the following steps and operations can also be implemented in hardware.

[0019] The terms "module" or "unit" as used herein can be considered as software objects executing on the computing system. Different components, modules, engines, and services described herein can be considered as implementations on the computing system. The apparatus and methods described herein are preferably implemented in software, but can also be implemented in hardware, both of which are within the scope of this invention.

[0020] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” and “the” used herein may also include the plural forms. It should be further understood that the term “comprising” as used in this specification means the presence of features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. It should be understood that when we say an element is “connected” or “coupled” to another element, it can be directly connected or coupled to the other element, or there may be intermediate elements. Furthermore, “connected” or “coupled” as used herein can include wireless connections or wireless coupling. The term “and / or” as used herein includes all or any units and all combinations of one or more associated listed items.

[0021] In this embodiment of the invention, a method for periodic inspection and maintenance of seismic isolation bearings and seismic bracing for public buildings is provided, such as... Figure 1 As shown, it includes: S1: Use Building Information Modeling (BIM) to export the layout diagram of seismic isolation bearings and seismic bracing of the target building to obtain the component location coordinates, and assign a unique QR code identifier to each component. The QR code contains the component location coordinates and design parameters. S2: Based on the input of component design parameters and historical test data by mobile terminal, establish an associated database of QR code identification, design parameters, component location and historical records, and at the same time associate the spare parts supplier information and standard maintenance manual of the corresponding component model in the database. S3: Acquire real-time data of seismic isolation bearings and seismic bracing during the testing period, process the acquired real-time data, compare the current value with the design value in the associated database and compare the current value with the historical values ​​of the same period in the associated database, and determine the test results in combination with the ambient temperature and humidity. S4: Based on the test results, formulate a graded maintenance plan, and within a preset time after the maintenance is completed in accordance with the maintenance plan, re-collect real-time data of the seismic isolation bearings and seismic bracing, update the corresponding component files through mobile terminals, and mark the post-maintenance status.

[0022] In this embodiment of the invention, in the construction of the digital component archive in step S1: the layout diagram of the seismic isolation bearings and seismic bracing of the target building is exported using Building Information Modeling (BIM). A unique QR code identifier is assigned to each component using an existing QR code generation program (such as the Caoliao QR code generator). The QR code contains the component's location coordinates and design parameters (design displacement value and vertical bearing capacity limit of the seismic isolation bearing; bolt design torque and installation spacing standard of the seismic bracing). Based on a lightweight data recording APP pre-installed on the mobile terminal (such as Lark Multidimensional Table), the component's design parameters and historical test data are entered to establish an associated database of "QR code identifier - parameters - location - historical records". At the same time, the database is associated with the spare parts supplier information (contact information, delivery cycle) and standard maintenance manual (stored in PDF format) for the corresponding model of the component, so as to realize the traceability of the component's full life cycle information.

[0023] In this embodiment of the invention, during the categorized standardized data acquisition in step S3: Data collection for seismic isolation bearings: Following the first cycle, e.g., once a year, inspectors use a laser rangefinder (accuracy ±1mm) to collect horizontal displacement and vertical compression, and a crack width meter (range 0-5mm) to measure surface cracks. Data is accessed by scanning a QR code on a mobile terminal to retrieve the corresponding component file, either manually entered or transmitted via Bluetooth. For special types of components such as lead-core seismic isolation bearings, a magnetic coating thickness gauge is used to measure the thickness of the anti-corrosion coating on the steel (standard ≥80μm), and the data is synchronously linked to the file. Sampling areas are divided based on the building structure's load-bearing drawings. The primary area (core tube, bearings under large-span beams) undergoes 100% inspection, using a laser line projector to assist in locating displacement measurement points. The secondary area (bearings under non-load-bearing partition walls) is randomly sampled at a rate of 30%, and the sampled samples are marked with a "sampling" tag in the data recording APP.

[0024] Seismic bracing data acquisition: According to the second cycle, such as once every 6 months, use a digital torque wrench (accuracy ±5%) to check the actual torque of the bolts for exposed brackets, and use a steel tape measure (accuracy ±1mm) to verify the installation spacing and pipeline fitting gap; for concealed parts such as ceilings and pipe wells, take pictures of the connectors with a mobile terminal camera (resolution ≥1080P), and mark the percentage of rusted area (mild <10%, moderate 10%-30%, severe >30%) and the number of loose bolts in the image annotation tool (such as the built-in marking function of mobile phones), and bind the image and text data to the corresponding component file.

[0025] In this embodiment of the invention, in the multi-dimensional data comparison and trend prediction in step S3: the data collected in S3 is processed using Excel functions (such as IF, STDEV) or Python scripts (based on the Pandas library), automatically comparing "current value with design value" (e.g., support displacement exceeding design value by 10% triggers an early warning) and "current value with historical values ​​of the same period" (e.g., bolt torque decreasing by more than 15% compared to the previous year triggers an early warning); for several consecutive tests, such as 3 tests, the support displacement value, bracket torque value, anti-corrosion coating thickness, number of loose bolts, installation spacing, and pipeline fitting gap are analyzed using linear regression. The formula calculates the annual attenuation rate and generates a trend curve (using Excel's charting function). If the attenuation rate exceeds the corresponding preset threshold (5% / year for bearings and 8% / year for supports), an early warning message is pushed to the management personnel via the data recording APP. At the same time, the historical temperature and humidity data of the building operation and maintenance system (collected by existing environmental monitoring devices) are accessed. Correlation formulas for "temperature / humidity - bearing rubber aging rate" and "humidity - support corrosion degree" are established in Excel. When environmental parameters exceed the tolerance range of the components (such as the ambient temperature of rubber bearings > 60℃), the inspection cycle of the components in that area is automatically shortened by 20%.

[0026] Specifically, for metal components such as lead-core seismic isolation bearings, the coating is inspected using a magnetic thickness gauge (standard ≥80μm). If a single test value is <60μm or linear regression shows an annual thickness reduction rate >10μm / year (e.g., 120μm→109μm→97μm), temperature and humidity data are automatically associated: if the ambient humidity is >70%, the testing cycle will be shortened to an additional 3 months.

[0027] Each inspection uses a steel tape measure to measure the actual value (accuracy ±1mm). The system automatically compares the measured value with the design value (the standard for pipeline clearance is usually ≤5mm) and the data from the past three consecutive tests. If the deviation increases by more than 10% for two consecutive tests, or the annual attenuation rate exceeds 8%, an early warning is triggered—indicating that the pipeline may have shifted due to gravity settlement or vibration.

[0028] After taking images of concealed areas, the system marks the number of loose bolts (e.g., if 3 out of 10 bolts are loose, it's counted as 30%). When a single loosening rate exceeds 15% or the annual growth rate of the loosening rate exceeds 5% for three consecutive times, the system determines that the risk of connection failure has increased. For example, if the bolt loosening rate of a well support changes from 5% to 12% to 18%, the system will prompt the system to replace the channel steel.

[0029] In this embodiment of the invention, in step S4, hierarchical maintenance and closed-loop verification: Tiered maintenance implementation: For seismic isolation bearing warning items, if only the displacement exceeds the tolerance, use a jack in conjunction with a horizontal displacement adjuster (existing mechanical leveling device) to fine-tune it to the design range; if the crack width is >5mm or the bearing capacity sampling test (using the pressure testing machine) fails to meet the standard, remove and replace the bearing with the same model; for seismic bracing warning items, if the bolt torque is insufficient, use a digital torque wrench to retighten it according to the design value; if the corrosion reaches a severe level or the connecting parts are deformed, replace the channel steel / bolts of the same specification, and update the component status in the BIM model simultaneously; when a replacement warning is triggered, the data recording APP automatically pushes the spare parts procurement link and maintenance step guidance.

[0030] Closed-loop verification: Within 48 hours after maintenance, data is re-collected according to the S2 standard and updated to the corresponding component file via mobile terminal, marking it as "post-maintenance" status; if the re-collected data still does not meet the standard, a second warning is triggered and the maintenance level is upgraded (if the bearing capacity is still insufficient after the support is replaced, the sampling and testing scope is expanded); the statistical function of the data recording APP generates a "Component Health Report", and the component proportion is statistically analyzed according to the "Excellent (test value within ±3% of design value), Good (±3%-±8%), Warning (>±8%)" level, and visualized using a pie chart; for components rated "Excellent" twice consecutively, "Low Risk" is automatically marked in the file and the testing cycle is extended (up to 5 years for supports and up to 1 year for brackets).

[0031] In another embodiment of the present invention, the relevant components and their connections and positional relationships are as follows: Connection of identification components and parts: QR code identification (generated by existing QR code generation program) is fixed to the top surface of seismic isolation bearing and the seismic support in a conspicuous position (1.5-2m above the ground for easy scanning) with waterproof adhesive. Each QR code is bound to the corresponding component and contains the component's unique code, location coordinates (based on the X / Y / Z axis coordinates of the building BIM model) and design parameters.

[0032] Connection between mobile terminals and identification / data: The mobile terminal (smartphone or tablet) is pre-installed with a data recording APP (such as Lark Multidimensional Table). It establishes a real-time connection with the digital archive of the component by scanning the QR code with the camera. The detection data is transmitted to the APP by manual input or Bluetooth (with detection tools with Bluetooth function such as laser rangefinders and digital torque wrenches). Images of hidden parts are taken by the mobile terminal's camera, processed by the built-in annotation tool, and associated with the corresponding archive.

[0033] Data processing tools and data source connection: Excel or Python scripts (running on computer terminal) obtain detection data through the export function of data recording APP, and establish correlation with component layout drawings exported from building BIM model and environmental data uploaded by building operation and maintenance system (temperature and humidity sensors fixed in various areas of building) to form a multi-dimensional dataset.

[0034] Positional relationship between maintenance tools and components: maintenance tools such as jacks and horizontal displacement adjusters act directly on the seismic isolation bearing body (the jack is placed at the corresponding position of the leveling bolt at the bottom of the bearing), the digital torque wrench is directly inserted into the bolt head of the seismic brace, and the pressure testing machine is used for laboratory testing of sampled bearings (the contact position with the bearing is the vertical bearing capacity test surface).

[0035] In this embodiment, the present invention achieves three core breakthroughs through the innovative combination of the above-mentioned components without introducing any new dedicated equipment, but only through the synergistic linkage of existing tools: The construction of a standardized data chain: The binding of QR code identification with digital archives solves the problem of chaotic correspondence between "component-data-location" in traditional manual records, making each test data traceable to a specific component and time node, and improving data consistency by more than 90%; Full-scene detection coverage: The combination of mobile terminal cameras and marking tools breaks through the field of view limitations of hidden areas (inside ceilings, in pipe wells), and combined with laser line projection to assist in positioning, the detection coverage rate is increased from the traditional 60%-70% to 100%; Dynamic intelligent management: The correlation analysis between data processing tools and environmental data enables "on-demand adjustment" of the detection cycle (shortening high-risk areas and extending low-risk areas). Combined with trend prediction models, it reduces the frequency of invalid detections by 30%-40% and provides performance degradation warnings 3-6 months in advance.

[0036] Specifically, such as Figure 2 As shown, where: QR code identification: As a "digital ID card" for components, it solves the problems of traditional paper labels being easy to fall off and incomplete information. Design parameters and historical data can be quickly retrieved by scanning with a mobile terminal, reducing the information preparation time before inspection from an average of 15 minutes / component to 1 minute / component. Mobile terminals and data recording apps: As the core carrier for data collection and transmission, they integrate "scan-entry-upload" functions, avoiding the secondary errors of "paper and pen recording + post-entry" in traditional manual recording, and improving data entry accuracy from 85% to 99%; the combination of its camera and annotation tools transforms the description of defects in hidden parts from vague textual records (such as "some rust") to quantitative image annotations (such as "rust area 25%)", improving defect recognition accuracy by 60%; Bluetooth-enabled testing tools (laser rangefinders, digital torque wrenches, etc.) solve the error problem caused by the separation of "reading and recording" in traditional tools. Data is transmitted to the APP in real time via Bluetooth, and the measurement error is reduced from ±5mm (manual reading) to ±1mm (direct transmission from the tool). The laser line projector assists in positioning, ensuring that the measurement points of the same component are consistent for each test, and eliminating the distortion of trend analysis caused by measurement position deviation. Data processing tools (Excel, Python scripts): Through automatic comparison and linear regression analysis, they replace traditional manual experience judgment, making the early warning threshold judgment standard uniform (e.g., a warning is required if the support displacement exceeds the design value by 10%), avoiding subjective differences among different testing personnel; the correlation with environmental data realizes the dynamic response of "environment-performance" (e.g., the testing cycle of supports in high-temperature areas is shortened), solving the problems of "over-testing" or "under-testing" in traditional fixed-cycle testing; The integration of maintenance tools and digital archives: tools such as jacks and horizontal displacement adjusters, in conjunction with design parameters (such as target displacement values) in the archives, transform maintenance operations from "adjustment based on experience" to "precise operation based on data," increasing the maintenance compliance rate from 75% to 95%; the spare parts information and maintenance manuals pre-stored in the archives shorten the maintenance response time (from the discovery of the problem to the arrival of the spare parts) from an average of 48 hours to 12 hours. Building operation and maintenance system data access: As an input source for environmental impact analysis, it solves the problem of ignoring the impact of environmental factors (temperature and humidity) on component aging in traditional testing, making the testing strategy more in line with the actual working conditions of the components and extending the effective maintenance cycle of components in low environmental impact areas.

[0037] As shown in Table 1 below: Table 1

[0038] The workflow of this invention revolves around "digital archiving - standardized data collection - intelligent prediction - hierarchical maintenance - closed-loop verification" to form a complete closed-loop cycle. The specific steps are as follows: Preliminary preparations: Digital component archive construction: Export the layout drawings and design parameters (such as bearing displacement limits and support bolt torque) of seismic isolation bearings and seismic bracing from the building BIM model. Generate a unique QR code containing location coordinates for each component using an existing QR code generation program and affix it to a prominent place on the component. Enter the design parameters, historical test data, spare parts supplier information and maintenance manual (PDF) into a lightweight data recording APP (such as Lark Multidimensional Table) pre-installed on the mobile terminal to establish a "QR code-component-full information" related archive.

[0039] Periodic execution: Categorized standardized data collection Seismic isolation bearings (1 year / time): Use a laser rangefinder to collect horizontal displacement / vertical compression, a crack width meter to measure surface cracks, and a coating thickness gauge to measure the anti-corrosion layer of steel components. 100% full inspection of bearings in the core load-bearing area (laser line projector positioning to ensure consistent measurement points), and 30% sampling in secondary areas. Data is entered into the APP via Bluetooth or manually and associated with the corresponding component files. Seismic bracing (6 months / time): Use a digital torque wrench to measure bolt torque, use a steel tape measure to verify installation spacing, and take images of concealed parts such as ceilings / manholes using a mobile terminal camera. Use the built-in annotation tool to quantify the corrosion area (e.g., "moderate 25%)" and the number of loose bolts. Bind the images and data to the archive.

[0040] Data Analysis: Multi-dimensional trend prediction and early warning. Use Excel functions (such as IF, STDEV) or Python scripts (Pandas library) to automatically compare "current data - design value" and "current data - historical same period value". Calculate the annual attenuation rate of support displacement and the attenuation value of support torque through linear regression. Integrate temperature and humidity data from the building operation and maintenance system to establish a correlation between "environmental parameters and component aging". If the attenuation rate exceeds the threshold (5% / year for supports, 8% / year for supports) or the environment exceeds the tolerance range (such as rubber support temperature > 60℃), the APP will push early warning information.

[0041] Execution and maintenance: Matching of hierarchical maintenance solutions Low-risk warning (e.g., slight out-of-tolerance support displacement, slightly low bolt torque): Use a jack and horizontal displacement adjuster to fine-tune the support, and a digital torque wrench to re-tighten the bolts. High-risk warning (e.g., support crack > 5mm, severe corrosion of bracket): Remove and replace with the same model of component, and the APP will automatically push spare parts procurement links and maintenance manuals; the component status in the BIM model will be updated synchronously during maintenance.

[0042] Closed-loop verification: Within 48 hours after the data re-collection and cycle optimization maintenance are completed, the data is re-collected according to the standard in step 2 and updated to the archive; a "Component Health Report" is generated and statistically classified into "Excellent (within ±3%), Good (±3%-±8%), and Warning (>±8%)"; for components that are "Excellent" twice in a row, the testing cycle is automatically extended (up to 5 years for supports and up to 1 year for brackets), and components with warnings are restored to the original cycle.

[0043] The embodiments of the present invention can achieve the following effects through the above technical solutions: (1) This invention uses QR codes to associate with digital archives, which solves the problems of chaotic traditional manual records and difficulty in information traceability; by annotating images of hidden parts and collecting data with standardized tools, it improves detection accuracy and eliminates the problem of blind spots in detection.

[0044] (2) This invention uses multi-dimensional data comparison and trend analysis to solve the problem of early prediction of performance degradation and avoid the problem of delayed discovery of hidden dangers.

[0045] (3) This invention utilizes hierarchical maintenance, automatic spare parts push and closed-loop verification to solve the problems of complex maintenance process and extended response time.

[0046] (4) This invention solves the problem of increased invalid detection and high overall cost by dynamically adjusting the detection cycle and sampling strategy.

[0047] This invention does not require the introduction of new specialized equipment. It can significantly reduce the workload of manual labor by simply combining existing tools, ensuring that the performance of seismic isolation bearings and seismic bracing continues to meet standards, and significantly improving the seismic safety of public buildings.

[0048] In another embodiment of the invention, such as Figure 3 As shown, a system for the periodic inspection and maintenance of seismic isolation bearings and seismic bracing for public buildings is also provided, including: The digital archive module is used to export the layout diagram of seismic isolation bearings and seismic bracing of the target building using Building Information Modeling (BIM) to obtain the component location coordinates. Each component is assigned a unique QR code identifier, in which the QR code contains the component location coordinates and design parameters. Based on the input of component design parameters and historical test data by mobile terminal, a related database of QR code identifier - design parameters - component location - historical records is established. At the same time, the database is associated with the spare parts supplier information and standard maintenance manual of the corresponding component model. The data acquisition module is used to acquire real-time data of seismic isolation bearings and seismic bracing during the testing period and to process the acquired real-time data. The trend prediction module is used to compare the current value with the design value in the associated database and with the historical values ​​of the same period in the associated database, and to determine the detection result in combination with the ambient temperature and humidity. The maintenance execution module is used to develop a tiered maintenance plan based on the test results. The closed-loop verification module is used to re-collect real-time data of seismic isolation bearings and seismic bracing within a preset time after maintenance is completed according to the maintenance plan, and update the corresponding component files through mobile terminals to mark the post-maintenance status.

[0049] The specific implementation methods of each module can be referred to the description of the above method embodiments, and the embodiments of the present invention will not be repeated.

[0050] The above provides a detailed description of a method and system for regular inspection and maintenance of seismic isolation bearings and seismic bracing for public buildings, as provided in the embodiments of the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for periodic inspection and maintenance of seismic isolation bearings and seismic bracing for public buildings, characterized in that, include: The layout diagram of seismic isolation bearings and seismic bracing of the target building is exported using Building Information Modeling (BIM) to obtain the component location coordinates. A unique QR code is assigned to each component, which contains the component location coordinates and design parameters. Based on the input of component design parameters and historical test data by mobile terminal, a database is established that links QR code identification, design parameters, component location and historical records. At the same time, the database is linked to the spare parts supplier information and standard maintenance manual for the corresponding component model. The system acquires real-time data of seismic isolation bearings and seismic bracing during the testing period, processes the acquired real-time data, compares the current value with the design value in the associated database and compares the current value with the historical values ​​of the same period in the associated database, and determines the test results in combination with the ambient temperature and humidity. Based on the test results, a graded maintenance plan is formulated. After the maintenance is completed in accordance with the plan, real-time data of the seismic isolation bearings and seismic bracing are collected again within a preset time. The data is then updated to the corresponding component files via mobile terminals, and the post-maintenance status is marked.

2. The method according to claim 1, characterized in that, The acquisition of real-time data collected from seismic isolation bearings and seismic bracing during the testing period includes: Scan the QR code with a mobile terminal to access the corresponding component file, manually enter or transmit the test data via Bluetooth, associate the test data with the corresponding component file, and divide the sampling area according to the building structure stress drawings. The first-level area adopts 100% full inspection, and uses a laser line projector to assist in locating displacement measurement points. The second-level area is randomly sampled according to the proportion. The sampled samples are marked with sampling labels in the mobile terminal. Among them, the data collection of seismic isolation bearings includes: according to the first cycle, the horizontal displacement and vertical compression are collected using a laser rangefinder, the surface cracks are measured using a crack width meter, and for special types of components including lead core seismic isolation bearings, the thickness of the anti-corrosion coating of steel parts is additionally detected using a magnetic coating thickness gauge. The data collection for seismic bracing includes: according to the second cycle, using a digital torque wrench to detect the actual torque of bolts on exposed brackets, using a steel tape measure to verify the installation spacing and pipeline fitting gap, and using a mobile terminal camera to capture images of connectors in concealed areas, including inside the ceiling and in pipe wells, marking the percentage of rusted area and the number of loose bolts in the images.

3. The method according to claim 2, characterized in that, The process of processing the collected real-time data, comparing the current value with the design value in the associated database, comparing the current value with historical values ​​of the same period in the associated database, and determining the detection result in conjunction with environmental temperature and humidity includes: The collected seismic isolation bearing data and seismic bracing data are processed, and the current value is automatically compared with the design value and the historical value of the same period. For the bearing displacement value, bracing torque value, anti-corrosion coating thickness, number of loose bolts, installation spacing and pipeline fitting gap of several consecutive tests, the annual attenuation rate is calculated by linear regression formula and a trend curve is generated. If the attenuation rate exceeds the corresponding preset threshold, the warning information is pushed to the management personnel through the mobile terminal. If the thickness of the anti-corrosion coating in a single test is less than the standard thickness, or if the linear regression shows that the annual thinning rate of the coating is greater than the preset threshold for annual attenuation of the anti-corrosion coating thickness, then the temperature and humidity data will be automatically associated. If the ambient humidity is greater than the preset humidity threshold, then the test cycle will be shortened. Simultaneously, historical temperature and humidity data from the building operation and maintenance system are accessed to establish correlation formulas between temperature / humidity and bearing rubber aging rate, and humidity and bracket corrosion degree. When environmental parameters exceed the tolerance range of the components, the inspection cycle of the components in that area is automatically shortened.

4. The method according to claim 3, characterized in that, The step of developing a tiered maintenance plan based on the test results includes: For seismic isolation bearing warning items, if only the displacement exceeds the tolerance, use a jack and a horizontal displacement adjuster to fine-tune it to the design range; if the crack width is greater than the preset crack threshold or the bearing capacity fails the spot check, remove and replace the bearing with the same model; for seismic bracing warning items, if the bolt torque is insufficient, use a digital torque wrench to retighten it according to the design value; if the corrosion reaches a severe level or the connecting parts are deformed, replace the channel steel / bolts of the same specification and update the component status in the BIM model simultaneously; when a replacement warning is triggered, the mobile terminal will automatically push the spare parts procurement link and maintenance step guidance.

5. The method according to claim 4, characterized in that, The process of re-collecting real-time data of seismic isolation bearings and seismic bracing within a preset time after maintenance according to the maintenance plan, updating the corresponding component files via mobile terminal, and marking the post-maintenance status includes: After maintenance is completed according to the maintenance plan, within a preset time, real-time data of seismic isolation bearings and seismic bracing are collected again and updated to the corresponding component files via mobile terminals to mark the post-maintenance status. If the re-collected data still does not meet the standards, a second warning is triggered and the maintenance level is upgraded. A component health report is generated through mobile terminals, the proportion of components is statistically analyzed at different levels, and the results are displayed visually. For components that receive an "Excellent" rating several times in a row, the system will automatically mark them as low-risk in the file and extend the testing cycle.

6. A system for periodic inspection and maintenance of seismic isolation bearings and seismic bracing for public buildings, characterized in that, include: The digital archive module is used to export the layout diagram of seismic isolation bearings and seismic bracing of the target building using Building Information Modeling (BIM) to obtain the component location coordinates. Each component is assigned a unique QR code identifier, in which the QR code contains the component location coordinates and design parameters. Based on the input of component design parameters and historical test data by mobile terminal, a related database of QR code identifier - design parameters - component location - historical records is established. At the same time, the database is associated with the spare parts supplier information and standard maintenance manual of the corresponding component model. The data acquisition module is used to acquire real-time data of seismic isolation bearings and seismic bracing during the testing period and to process the acquired real-time data. The trend prediction module is used to compare the current value with the design value in the associated database and with the historical values ​​of the same period in the associated database, and to determine the detection result in combination with the ambient temperature and humidity. The maintenance execution module is used to develop a tiered maintenance plan based on the test results. The closed-loop verification module is used to re-collect real-time data of seismic isolation bearings and seismic bracing within a preset time after maintenance is completed according to the maintenance plan, and update the corresponding component files through mobile terminals to mark the post-maintenance status.

7. The system according to claim 6, characterized in that, The data acquisition module is specifically used to call up the corresponding component file by scanning the QR code through a mobile terminal, manually enter or transmit the test data via Bluetooth, associate the test data with the corresponding component file, and divide the sampling area in conjunction with the building structure stress drawings. The first-level area adopts 100% full inspection and uses a laser line projector to assist in locating displacement measurement points. The second-level area is randomly sampled according to the proportion. The sampled samples are marked with sampling labels in the mobile terminal. Among them, the data acquisition of seismic isolation bearings includes: according to the first cycle, using a laser rangefinder to collect horizontal displacement and vertical compression, using a crack width meter to measure surface cracks, and for special types of components including lead core seismic isolation bearings, using a magnetic coating thickness gauge to detect the thickness of the anti-corrosion coating of steel parts. The data collection for seismic bracing includes: according to the second cycle, using a digital torque wrench to detect the actual torque of bolts on exposed brackets, using a steel tape measure to verify the installation spacing and pipeline fitting gap, and using a mobile terminal camera to capture images of connectors in concealed areas, including inside the ceiling and in pipe wells, marking the percentage of rusted area and the number of loose bolts in the images.

8. The system according to claim 7, characterized in that, The trend prediction module is specifically used to process the collected seismic isolation bearing data and seismic bracing data, automatically compare the current value with the design value and the current value with the historical value of the same period, and calculate the annual attenuation rate for the bearing displacement value, bracing torque value, anti-corrosion coating thickness, number of loose bolts, installation spacing and pipeline fitting gap of several consecutive tests using a linear regression formula to generate a trend curve. If the attenuation rate exceeds the corresponding preset threshold, an early warning information is pushed to the management personnel through the mobile terminal. If the thickness of the anti-corrosion coating in a single test is less than the standard thickness, or if the linear regression shows that the annual thinning rate of the coating is greater than the preset threshold for annual attenuation of the anti-corrosion coating thickness, then the temperature and humidity data will be automatically associated. If the ambient humidity is greater than the preset humidity threshold, then the test cycle will be shortened. Simultaneously, historical temperature and humidity data from the building operation and maintenance system are accessed to establish correlation formulas between temperature / humidity and bearing rubber aging rate, and humidity and bracket corrosion degree. When environmental parameters exceed the tolerance range of the components, the inspection cycle of the components in that area is automatically shortened.

9. The system according to claim 8, characterized in that, The maintenance execution module is specifically used for the following purposes: For seismic isolation bearing early warning items, if only the displacement exceeds the tolerance, a jack is used in conjunction with a horizontal displacement adjuster to fine-tune it to the design range; if the crack width exceeds the preset crack threshold or the bearing capacity fails the spot check, the bearing is removed and replaced with the same model; For seismic bracing early warning items, if the bolt torque is insufficient, a digital torque wrench is used to retighten it according to the design value; if the corrosion reaches a severe level or the connecting parts are deformed, the channel steel / bolt of the same specification is replaced, and the component status in the BIM model is updated simultaneously; When a replacement early warning is triggered, the mobile terminal automatically pushes a spare parts procurement link and maintenance step guidance.

10. The system according to claim 9, characterized in that, The closed-loop verification module is specifically used to re-collect real-time data of seismic isolation bearings and seismic bracing within a preset time after maintenance is completed according to the maintenance plan, update the data to the corresponding component files via mobile terminal, and mark the post-maintenance status. If the re-collected data still does not meet the standards, a second warning is triggered and the maintenance level is upgraded. A component health report is generated through mobile terminals, the proportion of components is statistically analyzed at different levels, and the results are displayed visually. For components that receive an "Excellent" rating several times in a row, the system will automatically mark them as low-risk in the file and extend the testing cycle.