Ancient building structure micro-variation monitoring and early warning method based on multi-source sensor cooperation

Abstract

The present application relates to the field of ancient building structure monitoring and early warning, and particularly relates to an ancient building structure micro-change monitoring and early warning method based on multi-source sensor cooperation. The method comprises: obtaining ancient building historical information and generating layout data; associating a collection terminal with multiple types of sensors and a multi-path time sequence control module to generate collection configuration data; triggering local high-frequency collection and generating high-frequency mode data according to the comparison of vibration intensity and threshold value; synchronously collecting multi-source monitoring data and performing time-space alignment to generate structured data flow; performing early warning value comparison, associated regional data calling, time-space evolution identification and trust degree calculation to generate trust degree data; performing signal fusion and structure state evaluation, calculating deformation parameters and generating hierarchical early warning execution signals. The present application realizes accurate monitoring and hierarchical early warning of ancient building structure micro-change, effectively reduces the false alarm rate, and improves the intelligent level and resource utilization efficiency of the monitoring system.

Description

Technical Field

[0001] This invention relates to the field of monitoring and early warning of ancient building structures, and in particular to a method for monitoring and early warning of micro-changes in ancient building structures based on multi-source sensor collaboration. Background Technology

[0002] In the field of ancient building structural monitoring and early warning, existing methods typically acquire historical information about the ancient building, combining it with structural information, maintenance records, material properties, and damage details. Data acquisition terminals are deployed at corresponding monitoring locations, and data such as vibration intensity, displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, and wind force are collected using accelerometers, displacement sensors, tilt sensors, crack sensors, settlement sensors, and environmental monitoring instruments. This data is then synchronized with timestamps, aligned in time and space, compared with warning values, and fused to form early warning information. However, this approach suffers from limitations such as fixed acquisition cycles, direct use of abnormal data in early warning systems, and insufficient access to data from adjacent areas and corresponding structural components. Existing methods often rely on data from a single monitoring location exceeding the warning value to directly trigger an alarm.

[0003] In scenarios involving the monitoring and early warning of minor structural changes in ancient buildings, vibration intensity is often used as a routine monitoring data input, without being integrated with the range of acquired signal values, preset thresholds, and acquisition cycles for continuous processing. When anomalies occur in displacement changes, tilt angles, crack width changes, and foundation settlement, the lack of data from adjacent areas and corresponding structural parts can easily lead to situations where data from a single corresponding monitoring location is directly identified as abnormal. Ambient temperature, humidity, wind direction, and wind force, if only stored as background data, are also difficult to use in determining the source of abnormal data. These situations result in unclear sources of abnormal data in the structured data stream, making it difficult to meet the requirements for the stable implementation of tiered early warning signals.

[0004] For the joint processing of acquired configuration data and structured data streams, existing technologies generally focus on synchronous acquisition of multi-source data, comparison of early warning values, and signal fusion. They rarely compare vibration intensity, the range of acquired signal values, and preset thresholds before high-frequency pattern data is generated. They also rarely perform data retrieval from neighboring regions and corresponding structural parts, identification of temporal evolution and spatial distribution, and calculation of confidence levels before signal fusion. Existing processes struggle to establish a consistent workflow for acquisition, alignment, judgment, control, and recording in the scenario of monitoring and early warning of minor changes in ancient building structures, resulting in insufficient correlation between tiered early warning execution signals and the corresponding monitoring locations, structural parts, and confidence level data. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a method for monitoring and early warning of minor structural changes in ancient buildings based on multi-source sensor collaboration, comprising:

[0006] S100. Obtain historical information about ancient buildings, collect and process it according to structural parts, configure monitoring locations, and generate deployment data.

[0007] S200. Based on the deployment data, associate the acquisition terminal with multiple types of sensors and multiple timing control modules to generate acquisition configuration data;

[0008] S300: Based on the acquisition configuration data, compare the vibration intensity with the preset threshold and the range of acquired signal values, trigger high-frequency acquisition and generate high-frequency mode data;

[0009] S400. Based on the high-frequency mode data, multi-source monitoring data is synchronously collected through a multi-channel timing control module, and timestamp synchronization and spatiotemporal alignment are completed to generate a structured data stream.

[0010] S500. Based on the structured data stream, perform early warning value comparison, related regional data retrieval, spatiotemporal evolution identification, and trust degree calculation to generate trust degree data;

[0011] S600. Based on the trust level data, perform signal fusion and structural state assessment, calculate deformation parameters, and generate graded early warning execution signals.

[0012] Furthermore, the process of acquiring historical information about ancient buildings, categorizing and processing it according to structural parts, configuring monitoring locations, and generating deployment data includes:

[0013] The historical information of the ancient buildings includes structural information, maintenance records, material properties, and damage details;

[0014] The process of collecting data by structural part includes: first, organizing the structural information according to the corresponding structural parts, and then collecting the maintenance records, material properties and damage conditions according to the corresponding structural parts to obtain the basic configuration content of each corresponding monitoring location in the ancient building;

[0015] The configuration of monitoring locations includes: assigning the four corners, large corners, along the outer wall, the base of the column, the top, the bottom, the layered parts, and the upper and lower points of the bottom to the corresponding monitoring locations, and setting them as monitoring locations corresponding to foundation settlement, column tilt, displacement change, horizontal displacement, crack width change, and foundation settlement.

[0016] The deployment data includes the corresponding monitoring location, corresponding structural part, acquisition terminal, sensor type, normal acquisition cycle, preset threshold, range of acquired signal value, nearby area, and configuration time.

[0017] Furthermore, the process of associating the data acquisition terminal with multiple types of sensors and multiple timing control modules to generate data acquisition configuration data includes:

[0018] The various types of sensors include accelerometers, displacement sensors, tilt sensors, crack sensors, settlement sensors, and environmental monitoring instruments;

[0019] According to the structural parts corresponding to the monitoring locations in the deployment data, the acceleration sensors, tilt sensors, and displacement sensors are associated with the acquisition terminals of the supporting columns or columns; the acceleration sensors, displacement sensors, and crack sensors are associated with the acquisition terminals of the supporting beams or beams; the displacement sensors, tilt sensors, crack sensors, and environmental monitoring instruments are associated with the acquisition terminals of the load-bearing walls, along the exterior walls, or in the layered areas; the settlement sensors, displacement sensors, and environmental monitoring instruments are associated with the acquisition terminals of the foundation structure, the four corners, the large corners, along the exterior walls, or the root column bases.

[0020] The multi-channel timing control module is connected to the signal output terminals of each sensor and configures the acquisition time, acquisition period, and acquisition signal value range.

[0021] The data acquisition configuration includes the acquisition terminal number, corresponding monitoring location, corresponding structural part, multi-mode sensor group, acceleration sensor, displacement sensor, tilt sensor, crack sensor, settlement sensor, environmental monitor, multi-channel timing control module, acquisition cycle, acquisition signal value range, preset threshold, nearby area and configuration time.

[0022] Furthermore, the process of comparing the vibration intensity with a preset threshold and the range of acquired signal values ​​includes:

[0023] Within the normal acquisition cycle, the vibration intensity output from the accelerometer is received; first, it is determined whether the vibration intensity is within the range of the acquired signal value. If it is not within the range of the acquired signal value, it is recorded as an acquisition anomaly and the normal acquisition cycle is maintained.

[0024] If the vibration intensity is within the range of the acquired signal value, then continue to determine whether the vibration intensity is greater than the preset threshold.

[0025] Furthermore, the process of triggering high-frequency acquisition and generating high-frequency pattern data includes:

[0026] When the vibration intensity exceeds a preset threshold and is within the range of the acquired signal value, the controller initiates the acquisition cycle adjustment process, reads the adjacent area and corresponding structural part corresponding to the monitoring position of the vibration intensity, and only adjusts the acquisition cycle of displacement sensors, tilt sensors, crack sensors, settlement sensors and environmental monitoring instruments within the adjacent area and corresponding structural part, switching the normal acquisition cycle to a high-frequency acquisition cycle; the acquisition terminals outside the adjacent area and corresponding structural part continue to associate with the normal acquisition cycle data;

[0027] The high-frequency mode data includes high-frequency trigger records, high-frequency range records, high-frequency acquisition cycle, vibration intensity, preset threshold, range of acquired signal values, corresponding monitoring location, corresponding structural part, adjacent area, multi-channel timing control module, and configuration time.

[0028] Furthermore, the process of synchronously acquiring multi-source monitoring data through a multi-channel timing control module and completing timestamp synchronization and spatiotemporal alignment to generate a structured data stream includes:

[0029] The multi-channel timing control module sends an acquisition command carrying the high-frequency acquisition cycle and high-frequency range record; the multi-channel timing control module opens the acquisition channels for the displacement sensor, tilt sensor, crack sensor, settlement sensor and environmental monitor within the high-frequency range record, and reads the electrical pulse signal of each sensor at the same acquisition time;

[0030] The same timestamp is used to record displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, and wind force within the same data acquisition time. The controller maps the data that has completed timestamp synchronization according to the corresponding monitoring location, corresponding structural part, and adjacent area.

[0031] The structured data stream includes the acquisition terminal number, corresponding monitoring location, corresponding structural part, adjacent area, sensor type, acquisition time, displacement change, tilt angle, crack width change, foundation settlement, ambient temperature, humidity, wind direction, wind force, high-frequency acquisition cycle, missing records, and configuration time.

[0032] Furthermore, the process of conducting early warning value comparison, retrieving data from related regions, identifying spatiotemporal evolution, and calculating trust levels includes:

[0033] The comparison of early warning values ​​includes: extracting displacement changes, tilt angles, crack width changes, and foundation settlement from the structured data stream, and comparing them with the corresponding early warning values; marking data exceeding the early warning values ​​as abnormal data, and recording the corresponding monitoring locations of the abnormal data as the corresponding abnormal monitoring locations;

[0034] The data retrieval for the associated region includes: based on the anomaly corresponding monitoring location, retrieving displacement changes, tilt angles, crack width changes, and foundation settlement data from the structured data stream within its neighboring region; simultaneously retrieving the acquisition records from the same corresponding structural part; when the anomaly data is a crack width change, retrieving displacement changes, tilt angles, and environmental data from the neighboring region and the corresponding structural part; when the anomaly data is a foundation settlement, retrieving displacement changes, tilt angles, and settlement-related acquisition records from the neighboring region and the corresponding structural part.

[0035] The spatiotemporal evolution identification includes: reading abnormal data, data in adjacent regions and corresponding structural parts according to adjacent acquisition cycles, and identifying the direction of change; if the abnormal data and the data in adjacent regions or corresponding structural parts have the same direction of change in adjacent acquisition cycles, and repeat at continuous acquisition time, then continuous change data is generated; if the abnormal data only exists at the corresponding monitoring location and the adjacent regions and corresponding structural parts do not show the same direction of change, then single corresponding monitoring location data is generated.

[0036] The trust level calculation includes: reading ambient temperature, humidity, wind direction, and wind force; if continuously changing data is generated and the continuously changing data does not correspond to the ambient temperature, humidity, wind direction, and wind force within the same collection period, then the trust level is increased; if a single corresponding monitoring location data is generated and the data corresponds to the ambient temperature, humidity, wind direction, or wind force within the same collection period, then the trust level is decreased; if there are missing records in the neighboring area corresponding to the abnormal data, then the original trust level is retained and focused verification information is generated.

[0037] Furthermore, the trust data includes:

[0038] Abnormal data, corresponding monitoring location, nearby area, corresponding structural part, collection time, continuously changing data, single corresponding monitoring location data, ambient temperature, humidity, wind direction, wind force, missing records, focused review information, trust-enhanced processing results, trust-decrease processing results, and configuration time.

[0039] Furthermore, the process of signal fusion and structural state assessment includes:

[0040] The abnormal data, continuously changing data, single corresponding monitoring location data, ambient temperature, humidity, wind direction and wind force in the trust level data are sent to the signal fusion module, and the input is processed according to the trust level improvement and trust level reduction processing results. The data analysis module receives the fused data output by the signal fusion module and generates a structural state assessment result containing abnormal data types, continuously changing data, single corresponding monitoring location data and focused verification information.

[0041] Furthermore, the process of calculating deformation parameters and generating graded early warning execution signals includes:

[0042] The calculated deformation parameters include: reading the acquisition records of the corresponding monitoring location of the same anomaly within adjacent acquisition cycles, calculating the rate of change of displacement, tilt angle, crack width, or foundation settlement as the deformation rate, and recording the direction of change as the deformation direction; generating settlement trajectory change information for the foundation structure, four corners, large corners, along the outer wall, and root column base; and generating tilt attitude change trends for supporting columns, columns, supporting beams, beams, or load-bearing walls.

[0043] The generation of graded early warning execution signals includes: generating a first early warning execution signal when there is a single corresponding monitoring location data or a missing record in the structural status assessment result, and the first early warning execution signal is written into the acquisition cycle adjustment and focus verification processing content; generating a second early warning execution signal when there is continuously changing data in the structural status assessment result and the deformation rate and deformation direction have been recorded, and the second early warning execution signal is written into the precise location guidance information of the inspection personnel; generating a third early warning execution signal when there is continuously changing data in the structural status assessment result and the settlement trajectory change information or tilt attitude change trend has been recorded, and the third early warning execution signal is written into the alarm module trigger and deformation trend diagram generation processing content.

[0044] The key innovations of this invention include:

[0045] (1) Based on the collected configuration data, the vibration intensity, preset threshold, collection period and collection signal value range are compared and processed to obtain high frequency mode data, and the high frequency mode data is made to correspond to the vicinity of the corresponding monitoring position of the vibration intensity and the corresponding structural part.

[0046] (2) Based on structured data stream, first, the warning value is compared to determine abnormal data, and then the data of adjacent areas and corresponding structural parts are called, the spatial distribution of time evolution is identified and the trust degree is calculated to obtain trust degree data.

[0047] (3) Based on the trust data, signal fusion, structural status assessment, deformation rate, deformation direction, settlement trajectory change information and tilt attitude change trend correlation processing are performed to obtain graded early warning execution signals.

[0048] The following are its main beneficial effects:

[0049] (1) To address the issue of fixed acquisition cycles in existing schemes, the high-frequency mode data is associated with the corresponding monitoring location, adjacent area and corresponding structural parts by comparing vibration intensity, preset threshold, acquisition cycle and acquisition signal value range, thereby reducing the situation where irrelevant acquisition terminals directly enter high-frequency acquisition.

[0050] (2) To address the issue of abnormal data directly participating in early warning in existing schemes, by comparing early warning values ​​and calling data from nearby areas and corresponding structural parts, abnormal data can form corresponding source records before entering signal fusion, thereby reducing the situation where a single corresponding monitoring location data directly triggers the execution signal of graded early warning.

[0051] (3) In response to the problem that ambient temperature, humidity, wind direction and wind force are only stored as background data in the existing scheme, the continuous changing data, single corresponding monitoring location data and environmental data are associated with the environmental data through time evolution spatial distribution identification and trust degree calculation processing to form trust degree data.

[0052] (4) To address the problem of insufficient correlation between the graded early warning execution signal and the corresponding monitoring location of the anomaly in the existing scheme, the graded early warning execution signal carries the corresponding monitoring location of the anomaly and the corresponding structural part by associating the confidence level data, structural status assessment, deformation rate, deformation direction, settlement trajectory change information and tilt attitude change trend.

[0053] (5) To address the problem of the dispersed processes of data collection, alignment, judgment, control and recording in the existing scheme, the ancient building structure micro-change monitoring and early warning method is made to form a continuous operation link by deploying data, collecting configuration data, high-frequency mode data, structured data stream, trust data and hierarchical early warning execution signals. Attached Figure Description

[0054] Figure 1 A flowchart illustrating the method for monitoring and early warning of minor structural changes in ancient buildings based on multi-source sensor collaboration, provided in this application embodiment;

[0055] Figure 2 The structural block diagram of the method for monitoring and early warning of micro-changes in ancient building structures based on multi-source sensor collaboration provided in the embodiments of this application is shown. Detailed Implementation

[0056] Example 1: Refer to Figure 1 This is a flowchart illustrating the method for monitoring and early warning of minor structural changes in ancient buildings based on multi-source sensor collaboration, provided in an embodiment of the present invention. The flowchart may include at least steps S100-S600:

[0057] S100. Obtain historical information about ancient buildings, collect and process it according to structural parts, configure monitoring locations, and generate deployment data.

[0058] S200. Based on the deployment data, associate the acquisition terminal with multiple types of sensors and multiple timing control modules to generate acquisition configuration data;

[0059] S300: Based on the acquisition configuration data, compare the vibration intensity with the preset threshold and the range of acquired signal values, trigger high-frequency acquisition and generate high-frequency mode data;

[0060] S400. Based on the high-frequency mode data, multi-source monitoring data is synchronously collected through a multi-channel timing control module, and timestamp synchronization and spatiotemporal alignment are completed to generate a structured data stream.

[0061] S500. Based on the structured data stream, perform early warning value comparison, related regional data retrieval, spatiotemporal evolution identification, and trust degree calculation to generate trust degree data;

[0062] S600. Based on the trust level data, perform signal fusion and structural state assessment, calculate deformation parameters, and generate graded early warning execution signals.

[0063] S100. Obtain historical information about ancient buildings, collect and process it according to structural parts, configure monitoring locations, and generate deployment data.

[0064] Specifically, the historical information of the ancient building is used as the input for this step. This historical information includes structural information, maintenance records, material properties, and damage status. The structural information refers to the distribution of load-bearing walls, supporting columns, supporting beams, columns, beams, and foundation structures within the ancient building, including the locations of the four corners, major corners, along the exterior walls, column bases, top, bottom, layered sections, and the upper and lower points of the bottom. The maintenance records refer to the records of corresponding structural parts in existing maintenance, repair, protection, and monitoring records of the ancient building. The material properties refer to the material-related information used in the structural health status analysis and assessment of columns, beams, load-bearing walls, supporting columns, supporting beams, and foundation structures. The damage status refers to historical anomalies related to changes in crack width, displacement, tilt angle, foundation settlement, horizontal displacement, column tilt, and foundation settlement. After receiving the historical information of the ancient building, the controller or monitoring and analysis unit first organizes the structural information according to the corresponding structural parts, and then aggregates the maintenance records, material properties, and damage status according to the corresponding structural parts to obtain the basic configuration content of each corresponding monitoring location in the ancient building.

[0065] Specifically, the configuration of the corresponding monitoring locations is executed by the controller. The controller first reads the load-bearing walls, supporting columns, supporting beams, columns, beams, and foundation structure from the structural information, and then assigns the four corners, large corners, along the outer wall, root column bases, top, bottom, layered sections, and bottom upper and lower points to the corresponding monitoring locations. For the foundation structure, the controller sets the four corners, large corners, along the outer wall, and root column bases as the corresponding monitoring locations for foundation settlement. For columns, supporting columns, and bottom upper and lower points, the controller sets them as the corresponding monitoring locations for column tilt and tilt angle. For beams, supporting beams, and the top, the controller sets them as the corresponding monitoring locations for displacement changes and crack width changes. For load-bearing walls, layered sections, and along the outer wall, the controller sets them as the corresponding monitoring locations for horizontal displacement, crack width changes, and foundation settlement. After completing the above configuration, the controller records each corresponding monitoring location and its corresponding structural component.

[0066] Further, the controller reads the maintenance records and matches the corresponding structural parts that have been repaired, repaired, protected, or monitored for abnormalities with the corresponding monitoring locations. If the maintenance record corresponds to a support column or column body, the support column or column body is associated with its tilt angle and column tilt. If the maintenance record corresponds to a support beam or beam body, the support beam or beam body is associated with its displacement change and crack width change. If the maintenance record corresponds to a foundation structure, root column base, four corners, or large corners, the corresponding location is associated with foundation settlement and ground settlement. The controller records a version of the matching results. The version record includes the corresponding monitoring location, corresponding structural part, and configuration time of the maintenance record. The configuration time is used for data source verification when the deployed data is retrieved in S200.

[0067] Furthermore, the controller processes the material properties. For columns, beams, support columns, and support beams corresponding to the timber structure, the controller assigns them to corresponding monitoring locations related to displacement changes, tilt angles, and crack width changes. For the foundation structure and root column bases, the controller assigns them to corresponding monitoring locations related to foundation settlement and ground settlement. For load-bearing walls, exterior walls, and layered areas, the controller assigns them to corresponding monitoring locations related to horizontal displacement, crack width changes, and tilt angles. Understandably, material properties do not directly generate early warning information, but rather serve as the configuration basis in the corresponding monitoring location configuration processing. The controller associates and records the material properties with the corresponding monitoring location, corresponding structural part, and sensor type to form the material configuration content in the deployment data.

[0068] Furthermore, the controller processes the damage data. For locations where crack width changes are observed in the historical records, the controller writes the sensor type corresponding to the crack sensor to the corresponding monitoring location. For locations where displacement changes, horizontal displacement, or beam settlement are observed in the historical records, the controller writes the sensor type corresponding to the displacement sensor to the corresponding monitoring location. For locations where tilt angles or column tilts are observed in the historical records, the controller writes the sensor type corresponding to the tilt sensor to the corresponding monitoring location. For locations where foundation settlement or ground settlement is observed in the historical records, the controller writes the sensor type corresponding to the settlement sensor to the corresponding monitoring location. For locations where vibration intensity needs to be collected, the controller writes the sensor type corresponding to the acceleration sensor or vibration sensor to the corresponding monitoring location. For locations where ambient temperature, humidity, wind direction, and wind force need to be collected, the controller writes the sensor type corresponding to the environmental monitoring instrument to the corresponding monitoring location.

[0069] In one implementation, the controller reads historical information about the ancient building from the ancient building management room, and the monitoring and early warning network module completes the configuration processing of the corresponding monitoring locations. Management personnel input the structural information, maintenance records, material characteristics, and damage status of the ancient building into the monitoring and early warning network module. The controller aggregates information according to the corresponding structural parts, obtaining the corresponding monitoring locations for load-bearing walls, supporting columns, supporting beams, columns, beams, and foundation structures. The controller then writes the acquisition terminal number, sensor type, corresponding structural part, regular acquisition cycle, preset threshold, and acquisition signal value range for each corresponding monitoring location. For a supporting column of the ancient building, if the maintenance record shows column tilting and the damage status shows an abnormal tilt angle, the controller configures that supporting column as the associated location for tilt sensors and acceleration sensors. For supporting beams in the same area, if the maintenance record shows changes in crack width, the controller configures that supporting beam as the associated location for crack sensors and displacement sensors. After the above configuration is completed, the supporting columns and supporting beams form a proximity relationship in the deployment data, which is then used by the S200 for association processing between the acquisition terminal and the multi-channel timing control module.

[0070] In another implementation, the controller reads the corresponding monitoring locations of the acquisition terminals on-site via a data acquisition device before installation. Workers install acquisition terminals at load-bearing walls, supporting columns, supporting beams, columns, beams, and foundation structures. The data acquisition device reads the corresponding monitoring location for each acquisition terminal and sends it to the controller. The controller compares the corresponding monitoring location with the historical information of the ancient building. If the location of the acquisition terminal is inconsistent with the structural information, maintenance records, material properties, or damage conditions, the controller records it as a configuration pending verification. If the location of the acquisition terminal matches the corresponding structural part, the controller writes the acquisition terminal into the deployment data. This process does not change the input order of S200; S200 still performs association processing of the acquisition terminals, acceleration sensors, displacement sensors, tilt sensors, crack sensors, settlement sensors, environmental monitoring instruments, and multi-channel timing control modules based on the deployment data.

[0071] Further, the deployment data includes corresponding monitoring locations, corresponding structural parts, acquisition terminals, sensor types, regular acquisition cycles, preset thresholds, range of acquired signal values, adjacent areas, and configuration time. The corresponding monitoring locations are used to mark the positions of load-bearing walls, supporting columns, supporting beams, columns, beams, foundation structures, four corners, large corners, along exterior walls, column bases, tops, bottoms, layered sections, and upper and lower points of the bottom. The corresponding structural parts are used to mark the load-bearing walls, supporting columns, supporting beams, columns, beams, or foundation structures to which each corresponding monitoring location belongs. The acquisition terminals are used to associate acceleration sensors, displacement sensors, tilt sensors, crack sensors, settlement sensors, environmental monitors, and multi-channel timing control modules in S200. The sensor types are used to define the associated objects for each corresponding monitoring location in S200. The regular acquisition cycle, the preset threshold, and the range of acquired signal values ​​are used for comparison processing of vibration intensity, preset thresholds, acquisition cycles, and range of acquired signal values ​​in S300. The adjacent areas are used for data retrieval and temporal evolution spatial distribution identification of corresponding structural parts in S500. The configuration time is used for recording the version of the deployed data.

[0072] Understandably, the deployment data output in this step is a direct input to S200. Based on the deployment data, S200 associates the acquisition terminal with the accelerometer, displacement sensor, tilt sensor, crack sensor, settlement sensor, environmental monitor, and multi-channel timing control module. The corresponding monitoring location, corresponding structural part, adjacent area, sensor type, normal acquisition cycle, preset threshold, and acquisition signal value range in the deployment data are converted into acquisition configuration data in S200 and are continuously called in S300, S400, S500, and S600.

[0073] In summary, this step achieves the following technical benefits: It transforms historical information about ancient buildings into deployment data, ensuring a unified source for monitoring locations, structural components, and sensor types in subsequent steps. It incorporates maintenance records, material properties, and damage details into the configuration process, providing a foundation of prior data for subsequent acquisition terminal association, vibration intensity comparison, and confidence level calculations. Furthermore, by recording the configuration time and version of the deployment data, this step ensures a traceable data source for the acquired configuration data during subsequent operation.

[0074] S200. Based on the deployment data, associate the acquisition terminal with multiple types of sensors and multiple timing control modules to generate acquisition configuration data;

[0075] Specifically, the deployment data obtained in S100 is used as the input for this step. This deployment data includes the corresponding monitoring location, corresponding structural part, acquisition terminal, sensor type, normal acquisition cycle, preset threshold, acquisition signal value range, adjacent area, and configuration time. After reading the deployment data, the controller first establishes acquisition terminal records according to the corresponding monitoring locations. The acquisition terminal is a data acquisition component deployed in load-bearing walls, supporting columns, supporting beams, columns, beams, foundation structures, four corners, large corners, along exterior walls, column bases, tops, bottoms, layered areas, and bottom upper and lower points. The acquisition terminal receives sensor signals and sends them to a multi-channel timing control module. The multi-channel timing control module connects to the signal output terminals of each sensor and configures the acquisition time, acquisition cycle, and acquisition signal value range for each signal output terminal.

[0076] Specifically, the controller configures the accelerometer, displacement sensor, tilt sensor, and crack sensor into a multi-mode sensor group according to the sensor types. The accelerometer is used to collect the vibration intensity at the corresponding monitoring location. The displacement sensor is used to collect the displacement change at the corresponding monitoring location. The tilt sensor is used to collect the tilt angle at the corresponding monitoring location. The crack sensor is used to collect the crack width change at the corresponding monitoring location. The settlement sensor is used to collect the foundation settlement at the foundation structure, root column base, four corners, large corners, and along the outer wall. The environmental monitoring instrument is used to collect ambient temperature, humidity, wind direction, and wind force. The controller writes the data from the above sensors into the corresponding acquisition terminals and writes the corresponding structural parts into the same acquisition terminal record.

[0077] Furthermore, the controller performs association processing on the corresponding structural parts in the deployment data. If the corresponding monitoring location corresponds to a support column, column body, or bottom / top point, the controller associates the corresponding monitoring location with an accelerometer, tilt sensor, and displacement sensor. If the corresponding monitoring location corresponds to a support beam, beam body, or top, the controller associates the corresponding monitoring location with an accelerometer, displacement sensor, and crack sensor. If the corresponding monitoring location corresponds to a load-bearing wall, along an exterior wall, or a layered area, the controller associates the corresponding monitoring location with a displacement sensor, tilt sensor, crack sensor, and environmental monitoring instrument. If the corresponding monitoring location corresponds to a foundation structure, four corners, large corners, along an exterior wall, or column base, the controller associates the corresponding monitoring location with a settlement sensor, displacement sensor, and environmental monitoring instrument. After the above association processing is completed, the controller generates the correspondence between the acquisition terminal and the sensor type.

[0078] Furthermore, the controller performs correlation processing on the multi-channel timing control module. The multi-channel timing control module includes a signal input terminal connected to the multi-mode sensor group and a signal output terminal connected to the data acquisition unit. The controller connects the signal output terminals of the accelerometer, displacement sensor, tilt sensor, and crack sensor to the same multi-channel timing control module. For acquisition terminals equipped with settlement sensors and environmental monitors, the controller writes the signal output terminals of the settlement sensors and environmental monitors into the acquisition channel of the same multi-channel timing control module. The acquisition channel is bound and recorded with the corresponding monitoring location, corresponding structural part, acquisition period, and acquisition signal value range. After the binding record is generated, the data acquisition unit reads the signals from each sensor according to the binding record.

[0079] Furthermore, the controller writes the normal acquisition period into the acquisition terminal record and the preset threshold and the acquisition signal value range into the sensor record corresponding to the accelerometer. The normal acquisition period is the acquisition time interval before the acquisition terminal enters high-frequency mode. The preset threshold is the input for vibration intensity comparison processing in S300. The acquisition signal value range is the input for determining whether the vibration intensity belongs to a valid acquisition signal in S300. For displacement sensors, tilt sensors, crack sensors, and settlement sensors, the controller writes the acquisition period and acquisition signal value range into the corresponding sensor record. For environmental monitoring instruments, the controller writes the ambient temperature, humidity, wind direction, and wind force into the environmental data record. The above records together constitute the acquisition configuration data.

[0080] Understandably, the adjacent area serves as the basis for association between acquisition terminals in this step. After reading the adjacent area obtained in S100, the controller establishes adjacent area relationships for acquisition terminals within the same load-bearing wall, the same supporting column, the same supporting beam, the same beam body, the same column, or the same foundation structure. Simultaneously, the controller writes the corresponding structural parts of adjacent acquisition terminals into the corresponding structural part relationship. The adjacent area relationship and the corresponding structural part relationship do not directly output warning information but are recorded in the acquisition configuration data. In S300, the adjacent area relationship and the corresponding structural part relationship are used to limit the corresponding range of high-frequency mode data, and in S500, they are used to retrieve adjacent area and corresponding structural part data.

[0081] In one engineering implementation, the monitoring and early warning network module in the management room first receives the deployment data obtained in S100. The controller reads the corresponding monitoring position of one of the support columns and assigns the corresponding monitoring position to a data acquisition terminal. This data acquisition terminal is connected to an acceleration sensor, a tilt sensor, and a displacement sensor. The controller then reads the corresponding monitoring position of the support beam adjacent to the support column and assigns the corresponding monitoring position to another data acquisition terminal. This data acquisition terminal is connected to an acceleration sensor, a displacement sensor, and a crack sensor. The controller writes the two data acquisition terminals into a proximity area relationship and writes the support column and the support beam into a corresponding structural part relationship. When the subsequent S300 reads the data acquisition configuration data, the monitoring position corresponding to the vibration intensity can be directly mapped to the proximity area and the corresponding structural part.

[0082] In another implementation, the on-site data acquisition unit reads the installed acquisition terminal. The controller compares the corresponding monitoring location returned by the acquisition terminal with the deployment data. If the corresponding monitoring location returned by the acquisition terminal matches the corresponding structural part in the deployment data, the controller writes the acquisition terminal into the acquisition configuration data. If the corresponding monitoring location returned by the acquisition terminal does not match the corresponding structural part in the deployment data, the controller records the acquisition terminal as a configuration pending verification and keeps the acquisition terminal in the regular acquisition cycle. After the configuration pending verification is confirmed by the management room, the controller writes it into the acquisition configuration data. The above process ensures that the acquisition terminal, sensor type, and corresponding structural part are consistently recorded before operation.

[0083] Further, the data acquisition configuration includes the acquisition terminal number, corresponding monitoring location, corresponding structural part, multi-mode sensor group, accelerometer, displacement sensor, tilt sensor, crack sensor, settlement sensor, environmental monitor, multi-channel timing control module, acquisition period, acquisition signal value range, preset threshold, adjacent area, and configuration time. The multi-mode sensor group is used to acquire displacement changes, tilt angle changes, and crack width changes simultaneously in S400. The vibration intensity corresponding to the accelerometer, the preset threshold, the acquisition period, and the acquisition signal value range are used as inputs for comparison processing in S300. The acquisition configurations corresponding to the settlement sensor and the environmental monitor generate foundation settlement status, ambient temperature, humidity, wind direction, and wind force respectively in S400. The adjacent area and the corresponding structural part are used as the data retrieval range in S500.

[0084] Understandably, the acquisition configuration data output in this step is directly input to S300. Based on the acquisition configuration data, S300 reads the vibration intensity acquired by the accelerometer and compares it with the preset threshold, the acquisition period, and the range of acquired signal values. The high-frequency mode data generated by S300 is then input to S400. Thus, S200 transforms the deployment data of S100 into acquisition configuration data that can be executed by the acquisition terminal, the multi-mode sensor group, and the multi-channel timing control module, and provides a preliminary record for subsequent simultaneous acquisition, timestamp synchronization, spatiotemporal alignment, and confidence calculation.

[0085] In summary, this step transforms deployment data into acquisition configuration data, establishing a correspondence between monitoring locations, acquisition terminals, sensor types, and multi-channel timing control modules. It also establishes a relationship between the vibration intensity of the accelerometer sensor and the acquisition period, preset thresholds, and the range of acquired signal values, providing input for the generation of high-frequency mode data for the S300. Furthermore, it writes nearby areas and corresponding structural components into the acquisition configuration data, providing preliminary configuration for the S500's warning value comparison, data retrieval, and confidence level calculation.

[0086] S300: Based on the acquisition configuration data, compare the vibration intensity with the preset threshold and the range of acquired signal values, trigger high-frequency acquisition and generate high-frequency mode data;

[0087] Specifically, the acquisition configuration data obtained in S200 is used as the input for this step. The acquisition configuration data includes the acquisition terminal number, corresponding monitoring location, corresponding structural part, multi-mode sensor group, accelerometer, displacement sensor, tilt sensor, crack sensor, settlement sensor, environmental monitor, multi-channel timing control module, acquisition cycle, acquisition signal value range, preset threshold, adjacent area, and configuration time. After reading the acquisition configuration data, the controller first calls the acquisition channel of the acquisition terminal where the accelerometer is located, and then reads the corresponding monitoring location, corresponding structural part, adjacent area, and acquisition cycle corresponding to that acquisition channel. The vibration intensity is the vibration monitoring data generated by the accelerometer within a normal acquisition cycle. The preset threshold is the comparison benchmark recorded in the deployment data and acquisition configuration data. The acquisition signal value range is the signal range allowed to enter the comparison processing by the acquisition channel corresponding to the accelerometer. The acquisition cycle is the time interval recorded when the acquisition terminal switches between the normal acquisition cycle and high-frequency mode.

[0088] Specifically, the data acquisition unit receives the vibration intensity output from the accelerometer during a regular acquisition cycle and transmits the vibration intensity to the controller. The controller compares the vibration intensity with the range of acquired signal values. If the vibration intensity is outside the range of acquired signal values, the controller records the vibration intensity as an acquisition anomaly and keeps the acquisition terminal corresponding to the monitoring location in the regular acquisition cycle. If the vibration intensity is within the range of acquired signal values, the controller continues to compare the vibration intensity with a preset threshold. If the vibration intensity is not greater than the preset threshold, the controller generates regular acquisition cycle data and writes the corresponding monitoring location, the corresponding structural part, the acquisition cycle, and the configured time into the regular acquisition cycle data. If the vibration intensity is greater than the preset threshold, the controller initiates acquisition cycle adjustment processing and generates high-frequency mode data.

[0089] Furthermore, the acquisition cycle adjustment process is executed by the controller calling the multi-channel timing control module. The controller does not synchronously adjust the acquisition cycle of all acquisition terminals. Instead, it reads the corresponding monitoring location of the vibration intensity from the acquisition configuration data, and then reads the adjacent area and corresponding structural part corresponding to that monitoring location. The controller writes the corresponding monitoring location, the adjacent area, and the corresponding structural part into the high-frequency range record of the high-frequency mode data. Based on the high-frequency range record, the multi-channel timing control module adjusts the acquisition cycle of the displacement sensor, tilt sensor, crack sensor, settlement sensor, and environmental monitor within that range. Acquisition terminals outside the adjacent area and the corresponding structural part continue to be associated with regular acquisition cycle data. This process maps high-frequency mode data to a specific corresponding monitoring location while retaining the source record of the regular acquisition cycle data.

[0090] Further, the high-frequency mode data includes high-frequency trigger records, high-frequency range records, high-frequency acquisition cycles, vibration intensity, preset thresholds, range of acquired signal values, corresponding monitoring locations, corresponding structural parts, adjacent areas, a multi-channel timing control module, and configuration time. The high-frequency trigger records are used to record comparison results where the vibration intensity is greater than the preset threshold and within the range of acquired signal values. The high-frequency range records are used to record the corresponding monitoring location, adjacent areas, and corresponding structural parts that enter the high-frequency mode. The high-frequency acquisition cycle is used for simultaneous acquisition and processing in S400. The vibration intensity, the preset threshold, and the range of acquired signal values ​​are used to record the source of the comparison processing in this step. The multi-channel timing control module is used to connect the signal output terminal of the multi-mode sensor group in S400 and organize the simultaneous acquisition of displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, and wind force.

[0091] Understandably, the preset threshold and the range of acquired signal values ​​are given by the acquisition configuration data. The minimum set of the preset thresholds includes the vibration intensity comparison benchmark corresponding to the accelerometer. The minimum set of the range of acquired signal values ​​includes the effective upper and lower limits of the acquisition channel corresponding to the accelerometer. The minimum set of acquisition cycles includes the regular acquisition cycle and the high-frequency acquisition cycle. The adjacent area and the corresponding structural part are necessary fields for high-frequency range recording. If the adjacent area or the corresponding structural part is missing, the controller only generates high-frequency mode data for the corresponding monitoring location of the vibration intensity and writes the missing content into the acquisition anomaly record. This acquisition anomaly record is available for the controller to read when the adjacent area and corresponding structural part data are retrieved in S500.

[0092] In one engineering implementation, the monitoring and early warning network module in the ancient building management room receives the acquisition configuration data generated by S200. The acquisition terminal located on the support column collects vibration intensity using an accelerometer at a regular acquisition cycle. The data acquisition unit transmits this vibration intensity to the controller. The controller reads the preset threshold and the range of acquisition signal values ​​corresponding to the support column. If the vibration intensity is within the range of acquisition signal values ​​and greater than the preset threshold, the controller records the support column as the corresponding monitoring location of the vibration intensity and reads the associated support beam and load-bearing wall from the acquisition configuration data. The controller writes the support column, the support beam, and the load-bearing wall into the high-frequency range record. The multi-channel timing control module then adjusts the displacement sensor, tilt sensor, crack sensor, settlement sensor, and environmental monitor within this range to a high-frequency acquisition cycle. Acquisition terminals outside the support column, support beam, and load-bearing wall continue to operate according to the regular acquisition cycle.

[0093] In another implementation, if the vibration intensity output by the accelerometer located at the top of the beam exceeds a preset threshold, but the vibration intensity is outside the range of the acquired signal value, the controller does not generate a high-frequency trigger record, but instead generates an acquisition anomaly record. The acquisition anomaly record includes the top of the beam, the acquisition terminal number, the accelerometer, the vibration intensity, the range of acquired signal values, and the configuration time. The controller keeps the acquisition terminal corresponding to the top of the beam in a normal acquisition cycle and sends the acquisition anomaly record to the monitoring and early warning network module. If the vibration intensity returns to the range of acquired signal values ​​in the next acquisition cycle but is still greater than the preset threshold, the controller re-compares and processes the data, and generates high-frequency mode data based on the adjacent area and the corresponding structural part.

[0094] Furthermore, the controller records a version for each comparison process. This version record includes the configuration time for the acquired configuration data, the comparison processing time, the vibration intensity, the preset threshold, the range of acquired signal values, the result of the acquisition period adjustment, and the high-frequency range record. If the acquired configuration data is updated, the controller re-reads the preset threshold, acquisition period, and range of acquired signal values ​​at the new configuration time. The old comparison processing results are retained in the version record. The new comparison processing results are written to a new version record. This process ensures that the high-frequency mode data read in S400 has a corresponding configuration source.

[0095] Understandably, the high-frequency mode data output in this step is directly input to S400. Based on the high-frequency mode data, S400 reads the high-frequency range record, high-frequency acquisition cycle, multi-channel timing control module, corresponding monitoring location, adjacent area, and corresponding structural part, and performs simultaneous acquisition, timestamp synchronization, and spatiotemporal alignment processing of displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, and wind force. The regular acquisition cycle data is also retained along with the high-frequency mode data, allowing S400 to record regular acquisition sources in non-high-frequency ranges.

[0096] In summary, this step transforms the accelerometer sensor readings, preset thresholds, acquisition periods, and signal value ranges from the acquired configuration data into high-frequency mode data. It limits the high-frequency range by identifying adjacent regions and corresponding structural components, ensuring a clear source for subsequent structured data streams. Furthermore, it establishes a continuous record between the high-frequency mode data and the acquired configuration data through the collection of anomaly and version records.

[0097] S400. Based on the high-frequency mode data, multi-source monitoring data is synchronously collected through a multi-channel timing control module, and timestamp synchronization and spatiotemporal alignment are completed to generate a structured data stream.

[0098] Specifically, the high-frequency mode data obtained from S300 is used as the input for this step. The high-frequency mode data includes high-frequency trigger records, high-frequency range records, high-frequency acquisition cycles, vibration intensity, preset thresholds, range of acquired signal values, corresponding monitoring locations, corresponding structural parts, adjacent areas, a multi-channel timing control module, and configuration time. After reading the high-frequency mode data, the controller first retrieves the high-frequency range records, then confirms the corresponding monitoring location, adjacent area, and corresponding structural part for entering the high-frequency mode. The corresponding monitoring location includes the load-bearing wall, supporting column, supporting beam, column, beam, foundation structure, four corners, large corners, along the outer wall, root column base, top, bottom, layered parts, and bottom upper and lower points where the acquisition terminal is located. The corresponding structural part is used to mark the load-bearing wall, supporting column, supporting beam, column, beam, or foundation structure to which the corresponding monitoring location belongs. The controller sends the high-frequency acquisition cycle to the multi-channel timing control module, which then organizes all acquisition terminals to enter the acquisition and processing at the same time.

[0099] Specifically, the multi-channel timing control module is connected to the signal output terminal of the multi-mode sensor group, and also to the signal output terminals of the settlement sensor and the environmental monitoring instrument. The multi-mode sensor group includes an accelerometer, a displacement sensor, a tilt sensor, and a crack sensor. The displacement sensor outputs displacement changes. These displacement changes are positional change data generated at the corresponding monitoring location within a high-frequency acquisition cycle. The tilt sensor outputs tilt angles. These tilt angles are tilt data formed by supporting columns, beams, or load-bearing walls within a high-frequency acquisition cycle. The crack sensor outputs crack width changes. These crack width changes are data on the width changes of cracks in load-bearing walls, supporting beams, beams, columns, or layered areas. The settlement sensor outputs foundation settlement data. This foundation settlement data includes settlement data corresponding to the foundation structure, root column bases, four corners, large turning points, and along the outer wall. The environmental monitoring instrument outputs ambient temperature, humidity, wind direction, and wind force. The ambient temperature, humidity, wind direction, and wind force are written into the acquisition record as environmental data at the same time.

[0100] Specifically, after entering high-frequency mode, the controller sends an acquisition command to the multi-channel timing control module. This acquisition command carries the high-frequency acquisition period, high-frequency range record, corresponding monitoring location, and corresponding structural part. Upon receiving the acquisition command, the multi-channel timing control module activates the acquisition channels for the displacement sensor, tilt sensor, crack sensor, settlement sensor, and environmental monitor within the high-frequency range record. The multi-channel timing control module reads the electrical pulse signals from each signal output terminal at the same acquisition moment. These electrical pulse signals include the acquisition signals generated by the displacement sensor, tilt sensor, crack sensor, settlement sensor, and environmental monitor at the same moment. The time calibrator records the instantaneous value and time interval of the electrical pulse signals and writes these values ​​and time intervals into the same acquisition record. This acquisition record also carries the corresponding monitoring location, corresponding structural part, acquisition terminal number, sensor type, and high-frequency acquisition period.

[0101] Specifically, the timestamp synchronization process is jointly performed by a time calibrator and a controller. The time calibrator receives various electrical pulse signals transmitted from multiple timing control modules and writes the same timestamp for displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, and wind force within the same acquisition time. If different sensor signals arrive at different times, the time calibrator merges them according to the time interval records. The merged data is still stored according to the same high-frequency acquisition cycle. If a certain acquisition channel does not transmit an electrical pulse signal at a certain acquisition time, the controller writes the acquisition channel into a missing record and retains the data from other sensors within the same acquisition time. The missing record includes the acquisition terminal number, sensor type, corresponding monitoring location, corresponding structural part, and acquisition time.

[0102] Specifically, the spatiotemporal alignment process is performed by the controller according to the high-frequency range. The controller maps the displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, and wind force that have completed timestamp synchronization to the corresponding monitoring locations, corresponding structural parts, and adjacent areas, respectively. For multiple acquisition terminals in the same supporting column, the same supporting beam, the same load-bearing wall, the same column, the same beam, or the same foundation structure, the controller assigns their acquisition records to the same corresponding structural part. For acquisition terminals in adjacent areas, the controller retains the adjacent area relationship. The data generated by the spatiotemporal alignment process simultaneously contains the acquisition time, corresponding monitoring location, corresponding structural part, adjacent area, and sensor type. The controller writes the above data into a structured data stream.

[0103] In one engineering implementation, the data acquisition terminal on the support column enters high-frequency mode due to the high-frequency mode data generated by S300. The controller reads the adjacent area corresponding to the support column and retrieves data acquisition terminals on adjacent support beams and load-bearing walls. The multi-channel timing control module reads the tilt angle and displacement changes on the support column, the displacement and crack width changes on the support beam, the crack width changes on the load-bearing wall, the foundation settlement on the foundation structure, and the ambient temperature, humidity, wind direction, and wind force output by the environmental monitoring instrument at the same acquisition time. The time calibrator writes the above data to the same timestamp. The controller then writes the support column, support beam, load-bearing wall, and foundation structure to their respective structural parts, and writes the support beam and load-bearing wall to the adjacent area of ​​the support column. After completing the above processing, the controller generates a structured data stream.

[0104] In another engineering implementation, if the high-frequency range record contains data on crack width changes that the acquisition terminal has not transmitted, the controller does not delete other data from the same acquisition time. The controller writes the missing crack width changes into the missing record and retains the displacement changes, tilt angles, foundation settlement, ambient temperature, humidity, wind direction, and wind force at the same time. If the crack sensor resumes transmission in the next high-frequency acquisition cycle, the controller writes the recovered crack width changes into a new acquisition record and associates the new acquisition record with the previous missing record. This associated record is read by the controller when performing early warning value comparison and temporal evolution spatial distribution identification in S500.

[0105] Furthermore, the structured data stream includes the acquisition terminal number, corresponding monitoring location, corresponding structural part, adjacent area, sensor type, acquisition time, displacement change, tilt angle, crack width change, foundation settlement, ambient temperature, humidity, wind direction, wind force, high-frequency acquisition cycle, missing records, and configuration time. The displacement change, tilt angle, crack width change, and foundation settlement are compared with early warning values ​​in S500. The ambient temperature, humidity, wind direction, and wind force are used in trust level calculations in S500. The adjacent area and corresponding structural part are used for data retrieval in S500. The acquisition time and high-frequency acquisition cycle are used for temporal evolution and spatial distribution identification in S500. The missing records are used in S500 to distinguish between data that has not been returned and data from a single corresponding monitoring location.

[0106] Understandably, the structured data stream output in this step is directly input to S500. Based on the structured data stream, S500 reads displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, wind force, adjacent areas, corresponding structural parts, and acquisition time. It then performs warning value comparison, retrieves data from adjacent areas and corresponding structural parts, identifies the spatial distribution of temporal evolution, and calculates the confidence level. The confidence level data obtained by S500 is then input to S600. Thus, S400 transforms the high-frequency pattern data from S300 into a structured data stream with the same acquisition time, corresponding structural parts, and adjacent area relationships.

[0107] In summary, this step transforms high-frequency pattern data into a structured data stream acquired at the same time, ensuring a unified record of displacement changes, tilt angles, crack width variations, foundation settlement, and environmental data. Through timestamp synchronization and spatiotemporal alignment, data from adjacent areas and corresponding structural components are continuously accessed within the S500 system. Furthermore, by addressing missing records and configuring time records, this step ensures the structured data stream has a traceable source for subsequent early warning value comparisons and confidence level calculations.

[0108] S500. Based on the structured data stream, perform early warning value comparison, related regional data retrieval, spatiotemporal evolution identification, and trust degree calculation to generate trust degree data;

[0109] Specifically, the structured data stream obtained from S400 is used as the input for this step. The structured data stream includes the acquisition terminal number, corresponding monitoring location, corresponding structural part, adjacent area, sensor type, acquisition time, displacement change, tilt angle, crack width change, foundation settlement, ambient temperature, humidity, wind direction, wind force, high-frequency acquisition cycle, missing records, and configuration time. After reading the structured data stream, the controller first groups the data according to the acquisition time and corresponding monitoring location, and then establishes a data index according to the corresponding structural part. The warning value is a comparison benchmark recorded in the deployment data or acquisition configuration data. The adjacent area is the range of acquisition terminals that are adjacent to the abnormal corresponding monitoring location. The corresponding structural part is a load-bearing wall, supporting column, supporting beam, column body, beam body, or foundation structure. The temporal evolution spatial distribution identification is a process that identifies the direction and continuity of data changes at different corresponding monitoring locations within adjacent acquisition cycles. The trust level is a judgment record generated by the controller based on continuously changing data, single corresponding monitoring location data, and environmental data.

[0110] Specifically, the controller first performs a comparison of early warning values. The controller extracts displacement changes, tilt angles, crack width changes, and foundation settlement from the structured data stream and reads the corresponding early warning values ​​for each. If the displacement change exceeds the corresponding early warning value, the controller marks the displacement change as abnormal data. If the tilt angle exceeds the corresponding early warning value, the controller marks the tilt angle as abnormal data. If the crack width change exceeds the corresponding early warning value, the controller marks the crack width change as abnormal data. If the foundation settlement exceeds the corresponding early warning value, the controller marks the foundation settlement as abnormal data. The controller records the corresponding monitoring location of the abnormal data as the abnormal monitoring location and writes the corresponding acquisition terminal number, corresponding structural part, acquisition time, and sensor type into the abnormal data record. If there are missing records in the structured data stream, the controller stores the missing records separately from the abnormal data records and does not directly treat the missing records as abnormal data.

[0111] Furthermore, the controller retrieves data from adjacent areas and corresponding structural components based on the anomaly detection location. The controller reads the adjacent area corresponding to the anomaly detection location from the structured data stream and retrieves displacement changes, tilt angles, crack width changes, and foundation settlement data for the same acquisition time and adjacent acquisition cycles within that adjacent area. The controller also reads the corresponding structural component corresponding to the anomaly detection location and retrieves acquisition records from the same load-bearing wall, support column, support beam, column, beam, or foundation structure. For anomaly data involving crack width changes, the controller retrieves displacement changes, tilt angles, and environmental data for adjacent areas and corresponding structural components. For anomaly data involving foundation settlement, the controller retrieves displacement changes, tilt angles, and settlement-related acquisition records for adjacent areas and corresponding structural components. For anomaly data involving tilt angles, the controller retrieves displacement changes and crack width changes for adjacent areas and corresponding structural components. For anomaly data involving displacement changes, the controller retrieves tilt angles, crack width changes, and foundation settlement data for adjacent areas and corresponding structural components.

[0112] Furthermore, the controller performs temporal evolution spatial distribution identification. The controller reads abnormal data, data from neighboring areas, and data from corresponding structural parts according to adjacent acquisition cycles, and identifies the direction of change. This direction of change identification includes increases or decreases in displacement, increases or decreases in tilt angle, increases or decreases in crack width, and increases or decreases in foundation settlement. If the abnormal data and data from neighboring areas or corresponding structural parts exhibit the same direction of change within adjacent acquisition cycles and repeat during continuous acquisition, the controller generates continuously changing data. If the abnormal data only exists at the corresponding monitoring location, and the neighboring areas and corresponding structural parts do not show the same direction of change, the controller generates single corresponding monitoring location data. If missing records exist in neighboring areas or corresponding structural parts, the controller retains the missing records in the temporal evolution spatial distribution identification and marks them as unreturned data during the trust level calculation process.

[0113] Further, the controller reads ambient temperature, humidity, wind direction, and wind force, and performs trust level calculation. If the controller generates continuously changing data, and this continuously changing data does not correspond to the ambient temperature, humidity, wind direction, and wind force within the same acquisition period, the controller increases the trust level. If the controller generates single corresponding monitoring location data, and this single corresponding monitoring location data corresponds to the ambient temperature, humidity, wind direction, or wind force within the same acquisition period, the controller decreases the trust level. If there are missing records in the adjacent area corresponding to the abnormal data, the controller retains the original trust level and generates focused verification information. The focused verification information includes the abnormal corresponding monitoring location, corresponding structural part, acquisition terminal number, missing record, and acquisition time. The trust level increase processing, the trust level decrease processing, and the focused verification information are all written into the trust level data.

[0114] In one engineering implementation, a crack sensor on a support beam outputs crack width changes during a high-frequency acquisition cycle. The controller compares this crack width change with a warning value. If the crack width change exceeds the warning value, the controller records the support beam as an abnormal monitoring location and retrieves the displacement change and tilt angle of the same support beam. The controller also retrieves the displacement change, tilt angle, and crack width change of adjacent support columns and load-bearing walls. If the support beam, support column, and load-bearing wall all show the same direction of change in adjacent acquisition cycles, the controller generates continuous change data. The controller then reads the ambient temperature, humidity, wind direction, and wind force within the same acquisition cycle. If the ambient temperature, humidity, wind direction, and wind force do not correspond to the continuous change data, the controller performs confidence enhancement processing on the crack width change and writes the processing result into the confidence data.

[0115] In another engineering implementation, settlement sensors on the foundation structure output information on foundation settlement, and the controller compares this settlement information with warning values. If the settlement exceeds the warning value, the controller records the foundation structure as an abnormal monitoring location and retrieves settlement data from the four corners, large corners, along the exterior walls, and the foundation of the columns. The controller also retrieves the tilt angle and displacement changes of nearby support columns. If abnormal data exists only on one acquisition terminal, and wind or humidity changes within the same acquisition period correspond to the abnormal data, the controller generates single corresponding monitoring location data and performs a confidence reduction process. If there are missing records for nearby support columns, the controller writes the missing records into the focus verification information and retains the record in the confidence data.

[0116] Furthermore, the trust level data includes abnormal data, corresponding monitoring locations, adjacent areas, corresponding structural parts, acquisition time, continuously changing data, single corresponding monitoring location data, ambient temperature, humidity, wind direction, wind force, missing records, focus verification information, trust level improvement processing results, trust level reduction processing results, and configuration time. The abnormal data is used for signal fusion in S600. The continuously changing data and the single corresponding monitoring location data are used for structural status assessment in S600. The trust level improvement processing results and the trust level reduction processing results are used to adjust the data entering the signal fusion module in S600. The focus verification information is used for the generation and processing of graded early warning execution signals in S600. The acquisition time and configuration time are used for source recording when S600 reads the trust level data.

[0117] Understandably, the trust level data output in this step is directly input to S600. Based on the trust level data, S600 reads abnormal data, continuously changing data, single corresponding monitoring location data, ambient temperature, humidity, wind direction, wind force, trust level improvement processing results, and trust level reduction processing results, and performs signal fusion, structural state assessment, deformation rate, deformation direction, settlement trajectory change information, and tilt attitude change trend correlation processing. Thus, S500 transforms the structured data stream obtained by S400 into trust level data that can be called by S600, and continuously transmits the warning value comparison, adjacent area, corresponding structural part data call, and temporal evolution spatial distribution identification results to subsequent steps.

[0118] Summary of the technical effects of this step: This step correlates abnormal data in the structured data stream with neighboring areas, corresponding structural parts, and environmental data to form confidence level data. This step identifies and distinguishes continuously changing data from single corresponding monitoring location data through temporal evolution and spatial distribution, reducing the direct entry of single acquisition records into signal fusion. This step focuses on writing review information and missing records into the confidence level data, providing input for the S600 to generate graded early warning execution signals.

[0119] S600. Based on the trust level data, perform signal fusion and structural state assessment, calculate deformation parameters, and generate graded early warning execution signals.

[0120] Specifically, the trust level data obtained from S500 is used as the input for this step. The trust level data includes abnormal data, abnormal response monitoring locations, nearby areas, corresponding structural parts, acquisition time, continuously changing data, single response monitoring location data, ambient temperature, humidity, wind direction, wind force, missing records, focus verification information, trust level improvement processing results, trust level reduction processing results, and configuration time. After reading the trust level data, the controller first aggregates the data according to the abnormal response monitoring location and acquisition time, and then groups the data according to the corresponding structural parts. Signal fusion refers to sending abnormal data, continuously changing data, single response monitoring location data, ambient temperature, humidity, wind direction, and wind force into the signal fusion module, and processing the input according to the trust level improvement and trust level reduction processing results. The signal fusion module includes an input terminal, a processing unit, and an output terminal. The input terminal receives the trust level data. The processing unit merges data from different sensor types. The output terminal outputs the fused data and sends it to the data analysis module.

[0121] Specifically, when performing signal fusion, the controller first reads the trust level enhancement processing result. If the abnormal data corresponds to continuously changing data, and the continuously changing data is associated with adjacent areas and corresponding structural parts, the controller writes the abnormal data, the continuously changing data, the corresponding monitoring location of the abnormality, and the corresponding structural part into the fused data. If the abnormal data corresponds to a single corresponding monitoring location data, and the single corresponding monitoring location data is associated with ambient temperature, humidity, wind direction, or wind force, the controller writes the single corresponding monitoring location data, the ambient temperature, the humidity, the wind direction, and the wind force into the focus verification information. If there are missing records in the trust level data, the controller records the missing records separately from the displacement changes, tilt angles, crack width changes, and foundation settlement at the same acquisition time. The missing records do not directly enter the structural status assessment; instead, they enter the graded early warning execution signal generation processing along with the focus verification information.

[0122] Furthermore, the structural status assessment is performed by a data analysis module. This data analysis module includes a monitoring and analysis unit and an anomaly alarm unit. The monitoring and analysis unit receives fused data output from the signal fusion module and reads the corresponding monitoring location, adjacent area, corresponding structural part, and acquisition time for any anomalies. The monitoring and analysis unit performs structural status assessment processing on displacement changes, tilt angles, crack width changes, and foundation settlement to obtain the structural status assessment result. The structural status assessment result includes the corresponding monitoring location, corresponding structural part, anomaly data type, continuously changing data, single corresponding monitoring location data, focused verification information, and configuration time. The anomaly alarm unit reads the structural status assessment result and calls upon it in the subsequent generation and processing of graded early warning execution signals.

[0123] Furthermore, the controller processes the deformation rate and deformation direction based on the structural state assessment results. The deformation rate is a record of the rate of change in displacement, tilt angle, crack width, or foundation settlement within adjacent acquisition cycles. The deformation direction is a record of the direction of change in displacement, tilt angle, crack width, or foundation settlement within adjacent acquisition cycles. The controller reads the acquisition records of the corresponding monitoring location for the same anomaly within adjacent acquisition cycles and compares the records. If the displacement change increases within adjacent acquisition cycles, the controller records this change in the deformation rate and deformation direction. If the tilt angle increases within adjacent acquisition cycles, the controller records this change in the deformation rate and deformation direction. If the crack width change increases within adjacent acquisition cycles, the controller records this change in the deformation rate and deformation direction. If the foundation settlement increases within adjacent acquisition cycles, the controller records this change in the deformation rate and deformation direction.

[0124] Further, the controller processes settlement trajectory change information. This settlement trajectory change information is a record of foundation settlement changes at the base structure, four corners, large corners, along the exterior walls, and at the base of the columns within adjacent acquisition periods. The controller reads the foundation settlement information related to the base structure from the structural condition assessment results and retrieves acquisition records from supporting columns and load-bearing walls in adjacent areas. If the foundation settlement and the tilt angle of the supporting columns change continuously within adjacent acquisition periods, the controller writes the foundation settlement, the supporting columns, the tilt angle, and the acquisition time into the settlement trajectory change information. If there are missing records for the base structure, the controller writes the missing records into the focus verification information and retains the existing foundation settlement acquisition records.

[0125] Furthermore, the controller performs correlation processing on tilt attitude change trends. These tilt attitude change trends are correlation records of the tilt angle and displacement changes of supporting columns, columns, supporting beams, beams, or load-bearing walls within adjacent acquisition cycles. The controller reads the tilt angle, displacement change, and corresponding structural location from the structural condition assessment results. If the tilt angle and displacement change of the same supporting column or column show the same direction of change within adjacent acquisition cycles, the controller writes it into the tilt attitude change trend. If the displacement change and crack width change of the same supporting beam or beam show the same direction of change within adjacent acquisition cycles, the controller writes it into the tilt attitude change trend. If the crack width change and tilt angle change of the load-bearing wall do not form a continuous change, the controller writes it into the single corresponding monitoring location data and calls the focus verification information.

[0126] In one engineering implementation, the crack width variation corresponding to the support beam is processed with increased confidence in S500. The controller inputs the crack width variation, the displacement variation of the support beam, the tilt angle of the support column, and the crack width variation of the load-bearing wall into the signal fusion module. The signal fusion module outputs fused data. After reading the fused data, the data analysis module generates a structural state assessment result corresponding to the support beam. The controller then reads the crack width variation and displacement variation of the support beam in adjacent acquisition cycles to obtain the deformation rate and deformation direction. If the tilt angle of the support column also changes continuously in adjacent acquisition cycles, the controller writes the tilt angle of the support column into the tilt attitude change trend. Subsequently, the anomaly alarm unit generates a graded early warning execution signal based on the structural state assessment result, deformation rate, deformation direction, and tilt attitude change trend.

[0127] In another engineering implementation, the foundation settlement corresponding to the basic structure is recorded as continuously changing data in S500. The controller inputs the foundation settlement data, the tilt angle of the supporting columns in the adjacent area, and the displacement changes of the load-bearing walls into the signal fusion module. After the signal fusion module outputs the fused data, the data analysis module generates a structural status assessment result. The controller reads the foundation settlement data of the basic structure in adjacent acquisition cycles and generates settlement trajectory change information. If the tilt angle of the supporting columns changes continuously with the foundation settlement, the controller writes the supporting columns, the tilt angle, and the foundation settlement data into the tilt attitude change trend. If there are missing records in the adjacent area, the controller writes the missing records into the focus verification information and outputs them along with the graded early warning execution signal.

[0128] Furthermore, the controller generates tiered early warning execution signals based on the structural state assessment results, deformation rate, deformation direction, settlement trajectory change information, and tilt attitude change trend. These tiered early warning execution signals include a first early warning execution signal, a second early warning execution signal, and a third early warning execution signal. The controller generates a first early warning execution signal when there is a single corresponding monitoring location data or a missing record in the structural state assessment results. The first early warning execution signal incorporates data on acquisition cycle adjustment and focus verification. The controller generates a second early warning execution signal when there is continuously changing data in the structural state assessment results, and the deformation rate and deformation direction have been recorded. The second early warning execution signal incorporates precise location guidance information for inspection personnel. The controller generates a third early warning execution signal when there is continuously changing data in the structural state assessment results, and settlement trajectory change information or tilt attitude change trend has been recorded. The third early warning execution signal incorporates data on alarm module triggering and deformation trend graph generation.

[0129] Furthermore, after receiving the third early warning execution signal, the monitoring and reporting module reads the structural status assessment results, the corresponding monitoring location of the anomaly, the corresponding structural part, the deformation rate, the deformation direction, the settlement trajectory change information, and the tilt attitude change trend, and draws a deformation trend diagram in conjunction with the three-dimensional model of the ancient building. After receiving the third early warning execution signal, the alarm module reads the anomaly response monitoring location, the corresponding structural part, and the acquisition time, and generates early warning information. After receiving the first, second, and third early warning execution signals, the display module displays the focus verification information, precise location guidance information, early warning information, and deformation trend diagram. The controller writes the graded early warning execution signals, structural status assessment results, deformation rate, deformation direction, settlement trajectory change information, tilt attitude change trend, and configuration time generated in this step into the operation record.

[0130] Understandably, the graded early warning execution signals obtained in this step are the output of this method. These graded early warning execution signals carry a first early warning execution signal, a second early warning execution signal, a third early warning execution signal, an anomaly detection location, the corresponding structural part, the acquisition time, focused verification information, precise location guidance information, early warning information, and a deformation trend diagram. The graded early warning execution signals originate from the trust level data of S500 and retain the correspondence between the structured data stream of S400, the high-frequency mode data of S300, the acquisition configuration data of S200, and the deployment data of S100. In subsequent acquisition cycles, the controller continues to read the acquisition cycle adjustment content from the graded early warning execution signals and returns it to the operation record of the acquisition configuration data.

[0131] Summary of the technical effects of this step: This step transforms trust-based data into fused data, structural status assessment results, and tiered early warning execution signals, ensuring that abnormal data undergoes signal fusion and structural status assessment before triggering an alarm. This step incorporates deformation rate, deformation direction, settlement trajectory changes, and tilt attitude change trends into the correlation processing, continuously linking the early warning execution signals with the corresponding monitoring locations and structural components of the anomalies. This step integrates focused verification information, precise location guidance information, alarm module triggering, and deformation trend map generation into different early warning execution signals, creating a continuous operational process from data deployment to early warning information.

[0132] Example 2: Figure 2 A structural block diagram of a method for monitoring and early warning of minor structural changes in ancient buildings based on multi-source sensor collaboration, according to an embodiment of the present invention, is shown. Figure 2 As shown, the structure may include:

[0133] The deployment data processing module 01 is used to acquire historical information about ancient buildings, process structural information, maintenance records, material properties, damage status, and corresponding monitoring location configurations to obtain deployment data. Specifically, the deployment data processing module receives historical information about ancient buildings, including structural information, maintenance records, material properties, and damage status. The module identifies load-bearing walls, supporting columns, supporting beams, columns, beams, and foundation structures as corresponding structural parts, and writes the four corners, large corners, along the outer walls, column bases, top, bottom, layered areas, and bottom upper and lower points into the corresponding monitoring locations. The module aggregates the maintenance records, material properties, and damage status to form corresponding monitoring locations, corresponding structural parts, sensor types, adjacent areas, preset thresholds, range of acquired signal values, and configuration time. The deployment data processing module transmits the deployment data to the acquisition configuration module for association processing between the acquisition terminal and sensors.

[0134] The data acquisition and configuration module 02, connected to the deployment data processing module, is used to perform association processing of the acquisition terminal, accelerometer, displacement sensor, tilt sensor, crack sensor, settlement sensor, environmental monitor, and multi-channel timing control module based on the deployment data to obtain acquisition and configuration data. Specifically, the acquisition and configuration module receives the deployment data and reads the corresponding monitoring location, the corresponding structural part, the sensor type, the adjacent area, the preset threshold, and the range of acquired signal values. The acquisition and configuration module configures the acquisition terminal to the corresponding monitoring location and writes the accelerometer, displacement sensor, tilt sensor, and crack sensor into the multi-mode sensor group. The acquisition and configuration module configures the settlement sensor to the corresponding positions on the foundation structure, four corners, large corners, along the outer wall, and root column base, and configures the environmental monitor to collect ambient temperature, humidity, wind direction, and wind force. The acquisition and configuration module connects the signal output terminals of each sensor to the multi-channel timing control module and generates the acquisition terminal number, acquisition period, range of acquired signal values, corresponding monitoring location, corresponding structural part, and adjacent area. The acquisition configuration module transmits the acquisition configuration data to the high-frequency mode comparison module.

[0135] The high-frequency mode comparison module 03, connected to the acquisition configuration module, is used to compare vibration intensity, preset threshold, acquisition period, and acquisition signal value range based on the acquisition configuration data to obtain high-frequency mode data. Specifically, the high-frequency mode comparison module receives the acquisition configuration data and calls the vibration intensity generated by the accelerometer within a normal acquisition period. The high-frequency mode comparison module first compares the vibration intensity with the acquisition signal value range; when the vibration intensity is not within the acquisition signal value range, it records an acquisition anomaly and maintains the association of the acquisition terminal with the normal acquisition period. When the vibration intensity is within the acquisition signal value range, the high-frequency mode comparison module compares the vibration intensity with the preset threshold; when the vibration intensity is greater than the preset threshold, it reads the corresponding monitoring location of the vibration intensity, the adjacent area, and the corresponding structural part, and generates a high-frequency trigger record and a high-frequency range record. The high-frequency mode comparison module transmits the high-frequency mode data to the structured data stream generation module, which then calls the high-frequency acquisition period and high-frequency range records.

[0136] The structured data stream generation module 04, connected to the high-frequency mode comparison module, is used to simultaneously collect displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, and wind force based on the high-frequency mode data, synchronize timestamps, and perform spatiotemporal alignment processing to obtain a structured data stream. Specifically, the structured data stream generation module receives the high-frequency mode data and reads the high-frequency range record, the high-frequency acquisition period, the corresponding monitoring location, the adjacent area, and the corresponding structural part. The structured data stream generation module calls the multi-channel timing control module, connecting to the signal output terminals of the multi-mode sensor group, the settlement sensor, and the environmental monitoring instrument. The structured data stream generation module collects the displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, and wind force at the same acquisition time, and records the instantaneous values ​​and time intervals of each electrical pulse signal. The structured data stream generation module timestamps and synchronizes each electrical pulse signal, and performs spatiotemporal alignment according to the corresponding monitoring location, the corresponding structural part, and the adjacent area. The structured data stream generation module then transmits the structured data stream to the trust calculation module.

[0137] The trust calculation module 05, connected to the structured data stream generation module, is used to perform warning value comparison, nearby area and corresponding structural part data retrieval, temporal evolution spatial distribution identification, and trust calculation processing based on the structured data stream to obtain trust data. Specifically, the trust calculation module receives the structured data stream and reads displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, wind force, nearby areas, corresponding structural parts, and acquisition time. The trust calculation module compares the displacement changes, tilt angles, crack width changes, and foundation settlement with warning values, identifies data exceeding the warning values ​​as abnormal data, and designates the corresponding monitoring location of the abnormal data as the corresponding abnormal monitoring location. The trust calculation module retrieves data from the nearby area and the corresponding structural part at the same acquisition time and data from adjacent acquisition cycles based on the corresponding abnormal monitoring location. The trust calculation module performs temporal evolution spatial distribution identification on the abnormal data, the data in the nearby area, and the corresponding structural part to obtain continuously changing data or single corresponding monitoring location data. The trust level calculation module combines the ambient temperature, humidity, wind direction, and wind force to generate trust level improvement processing results, trust level reduction processing results, or focused review information, and transmits the trust level data to the hierarchical early warning execution module.

[0138] The graded early warning execution module 06, connected to the trust level calculation module, is used to perform signal fusion, structural state assessment, deformation rate, deformation direction, settlement trajectory change information, and tilt attitude change trend correlation processing based on the trust level data to obtain a graded early warning execution signal. Specifically, the graded early warning execution module receives the trust level data and reads abnormal data, corresponding monitoring locations of abnormalities, adjacent areas, corresponding structural parts, continuously changing data, single corresponding monitoring location data, focus verification information, trust level improvement processing results, and trust level reduction processing results. The graded early warning execution module inputs the abnormal data and continuously changing data associated with the trust level improvement processing results into the signal fusion module, and writes the single corresponding monitoring location data associated with the trust level reduction processing results into the focus verification information. The graded early warning execution module calls the data analysis module to perform structural state assessment on the fused data to form a structural state assessment result. The graded early warning execution module generates deformation rate and deformation direction based on displacement changes, tilt angles, crack width changes, and foundation settlement conditions in adjacent acquisition cycles. The tiered early warning execution module generates settlement trajectory change information based on the foundation settlement of the basic structure, four corners, large corners, along the outer walls, and root column foundations; and generates tilt attitude change trends based on the tilt angle and displacement changes of supporting columns, columns, supporting beams, beams, or load-bearing walls. The tiered early warning execution module transmits the tiered early warning execution signals to the alarm module and the monitoring report module.

[0139] Alarm module 07, connected to the hierarchical early warning execution module, is used to trigger alarm module processing based on the hierarchical early warning execution signals. Specifically, the alarm module receives the hierarchical early warning execution signals and reads the first early warning execution signal, the second early warning execution signal, the third early warning execution signal, the corresponding abnormal monitoring location, the corresponding structural part, the acquisition time, and the early warning information. When receiving the first early warning execution signal, the alarm module records the acquisition cycle adjustment and focus verification processing content. When receiving the second early warning execution signal, the alarm module reads the precise location guidance information of the inspection personnel and registers the corresponding abnormal monitoring location and the corresponding structural part. When receiving the third early warning execution signal, the alarm module triggers alarm module processing and transmits the early warning information to the display module. The alarm module feeds back the alarm module trigger processing record to the hierarchical early warning execution module for the hierarchical early warning execution module to write into its operation record.

[0140] The monitoring report module 08, connected to the graded early warning execution module, is used to generate a deformation trend map based on the graded early warning execution signal. Specifically, the monitoring report module receives the graded early warning execution signal and reads the structural status assessment results, anomaly detection locations, corresponding structural parts, acquisition time, deformation rate, deformation direction, settlement trajectory change information, and tilt attitude change trend. The monitoring report module associates the anomaly detection locations with the three-dimensional model of the ancient building and writes the displacement changes, tilt angles, crack width changes, and foundation settlement in adjacent acquisition cycles into the deformation trend map. The monitoring report module writes the deformation trend map, the focus verification information, the precise location guidance information, and the early warning information into the operation record. The monitoring report module transmits the operation record to the deployment data processing module and the acquisition configuration module for subsequent configuration of time and acquisition cycle records.

Claims

1. A method for monitoring and early warning of minor structural changes in ancient buildings based on multi-source sensor collaboration, characterized in that, include: S100. Obtain historical information about ancient buildings, collect and process it according to structural parts, configure monitoring locations, and generate deployment data. S200. Based on the deployment data, associate the acquisition terminal with multiple types of sensors and multiple timing control modules to generate acquisition configuration data; S300: Based on the acquisition configuration data, compare the vibration intensity with the preset threshold and the range of acquired signal values, trigger high-frequency acquisition and generate high-frequency mode data; S400. Based on the high-frequency mode data, multi-source monitoring data is synchronously collected through a multi-channel timing control module, and timestamp synchronization and spatiotemporal alignment are completed to generate a structured data stream. S500. Based on the structured data stream, perform early warning value comparison, related regional data retrieval, spatiotemporal evolution identification, and trust degree calculation to generate trust degree data; S600. Based on the trust level data, perform signal fusion and structural state assessment, calculate deformation parameters, and generate graded early warning execution signals.

2. The method according to claim 1, characterized in that, The process of acquiring historical information about ancient buildings, categorizing and processing it according to structural parts, configuring monitoring locations, and generating deployment data includes: The historical information of the ancient buildings includes structural information, maintenance records, material properties, and damage details; The process of collecting data by structural part includes: first, organizing the structural information according to the corresponding structural parts, and then collecting the maintenance records, material properties and damage conditions according to the corresponding structural parts to obtain the basic configuration content of each corresponding monitoring location in the ancient building; The configuration of monitoring locations includes: assigning the four corners, large corners, along the outer wall, the base of the column, the top, the bottom, the layered parts, and the upper and lower points of the bottom to the corresponding monitoring locations, and setting them as monitoring locations corresponding to foundation settlement, column tilt, displacement change, horizontal displacement, crack width change, and foundation settlement. The deployment data includes the corresponding monitoring location, corresponding structural part, acquisition terminal, sensor type, normal acquisition cycle, preset threshold, range of acquired signal value, nearby area, and configuration time.

3. The method according to claim 2, characterized in that, The process of associating the data acquisition terminal with multiple types of sensors and multiple timing control modules to generate data acquisition configuration data includes: The various types of sensors include accelerometers, displacement sensors, tilt sensors, crack sensors, settlement sensors, and environmental monitoring instruments; According to the structural parts corresponding to the monitoring locations in the deployment data, the acceleration sensors, tilt sensors, and displacement sensors are associated with the acquisition terminals of the supporting columns or columns; the acceleration sensors, displacement sensors, and crack sensors are associated with the acquisition terminals of the supporting beams or beams; the displacement sensors, tilt sensors, crack sensors, and environmental monitoring instruments are associated with the acquisition terminals of the load-bearing walls, along the exterior walls, or in the layered areas; the settlement sensors, displacement sensors, and environmental monitoring instruments are associated with the acquisition terminals of the foundation structure, the four corners, the large corners, along the exterior walls, or the root column bases. The multi-channel timing control module is connected to the signal output terminals of each sensor and configures the acquisition time, acquisition period, and acquisition signal value range. The data acquisition configuration includes the acquisition terminal number, corresponding monitoring location, corresponding structural part, multi-mode sensor group, acceleration sensor, displacement sensor, tilt sensor, crack sensor, settlement sensor, environmental monitor, multi-channel timing control module, acquisition cycle, acquisition signal value range, preset threshold, nearby area and configuration time.

4. The method according to claim 1, characterized in that, The process of comparing the vibration intensity with a preset threshold and the range of acquired signal values ​​includes: Within the normal acquisition cycle, the vibration intensity output from the accelerometer is received; first, it is determined whether the vibration intensity is within the range of the acquired signal value. If it is not within the range of the acquired signal value, it is recorded as an acquisition anomaly and the normal acquisition cycle is maintained. If the vibration intensity is within the range of the acquired signal value, then continue to determine whether the vibration intensity is greater than the preset threshold.

5. The method according to claim 4, characterized in that, The process of triggering high-frequency acquisition and generating high-frequency mode data includes: When the vibration intensity exceeds a preset threshold and is within the range of the acquired signal value, the controller initiates the acquisition cycle adjustment process, reads the adjacent area and corresponding structural part corresponding to the monitoring position of the vibration intensity, and only adjusts the acquisition cycle of displacement sensors, tilt sensors, crack sensors, settlement sensors and environmental monitoring instruments within the adjacent area and corresponding structural part, switching the normal acquisition cycle to a high-frequency acquisition cycle; the acquisition terminals outside the adjacent area and corresponding structural part continue to associate with the normal acquisition cycle data; The high-frequency mode data includes high-frequency trigger records, high-frequency range records, high-frequency acquisition cycle, vibration intensity, preset threshold, range of acquired signal values, corresponding monitoring location, corresponding structural part, adjacent area, multi-channel timing control module, and configuration time.

6. The method according to claim 1, characterized in that, The process of synchronously acquiring multi-source monitoring data through a multi-channel timing control module and completing timestamp synchronization and spatiotemporal alignment to generate a structured data stream includes: The multi-channel timing control module sends an acquisition command carrying the high-frequency acquisition cycle and high-frequency range record; the multi-channel timing control module opens the acquisition channels for the displacement sensor, tilt sensor, crack sensor, settlement sensor and environmental monitor within the high-frequency range record, and reads the electrical pulse signal of each sensor at the same acquisition time; The same timestamp is used to record displacement changes, tilt angles, crack width changes, foundation settlement, ambient temperature, humidity, wind direction, and wind force within the same data acquisition time. The controller maps the data that has completed timestamp synchronization according to the corresponding monitoring location, corresponding structural part, and adjacent area. The structured data stream includes the acquisition terminal number, corresponding monitoring location, corresponding structural part, adjacent area, sensor type, acquisition time, displacement change, tilt angle, crack width change, foundation settlement, ambient temperature, humidity, wind direction, wind force, high-frequency acquisition cycle, missing records, and configuration time.

7. The method according to claim 1, characterized in that, The process of conducting early warning value comparison, retrieving data from related regions, identifying spatiotemporal evolution, and calculating trust levels includes: The comparison of early warning values ​​includes: extracting displacement changes, tilt angles, crack width changes, and foundation settlement from the structured data stream, and comparing them with the corresponding early warning values; marking data exceeding the early warning values ​​as abnormal data, and recording the corresponding monitoring locations of the abnormal data as the corresponding abnormal monitoring locations; The data retrieval for the associated region includes: based on the anomaly corresponding monitoring location, retrieving displacement changes, tilt angles, crack width changes, and foundation settlement data from the structured data stream within its neighboring region; simultaneously retrieving the acquisition records from the same corresponding structural part; when the anomaly data is a crack width change, retrieving displacement changes, tilt angles, and environmental data from the neighboring region and the corresponding structural part; when the anomaly data is a foundation settlement, retrieving displacement changes, tilt angles, and settlement-related acquisition records from the neighboring region and the corresponding structural part. The spatiotemporal evolution identification includes: reading abnormal data, data in adjacent regions and corresponding structural parts according to adjacent acquisition cycles, and identifying the direction of change; if the abnormal data and the data in adjacent regions or corresponding structural parts have the same direction of change in adjacent acquisition cycles, and repeat at continuous acquisition time, then continuous change data is generated; if the abnormal data only exists at the corresponding monitoring location and the adjacent regions and corresponding structural parts do not show the same direction of change, then single corresponding monitoring location data is generated. The trust level calculation includes: reading ambient temperature, humidity, wind direction, and wind force; if continuously changing data is generated and the continuously changing data does not correspond to the ambient temperature, humidity, wind direction, and wind force within the same collection period, then the trust level is increased; if a single corresponding monitoring location data is generated and the data corresponds to the ambient temperature, humidity, wind direction, or wind force within the same collection period, then the trust level is decreased; if there are missing records in the adjacent area corresponding to the abnormal data, then the original trust level is retained and focused verification information is generated.

8. The method according to claim 7, characterized in that, The trust data includes: Abnormal data, corresponding monitoring location, nearby area, corresponding structural part, collection time, continuously changing data, single corresponding monitoring location data, ambient temperature, humidity, wind direction, wind force, missing records, focused review information, trust-enhanced processing results, trust-decrease processing results, and configuration time.

9. The method according to claim 1, characterized in that, The process of signal fusion and structural state assessment includes: The abnormal data, continuously changing data, single corresponding monitoring location data, ambient temperature, humidity, wind direction and wind force in the trust level data are sent to the signal fusion module, and the input is processed according to the trust level improvement and trust level reduction processing results. The data analysis module receives the fused data output by the signal fusion module and generates a structural state assessment result containing abnormal data types, continuously changing data, single corresponding monitoring location data and focused verification information.

10. The method according to claim 1, characterized in that, The process of calculating deformation parameters and generating graded early warning execution signals includes: The calculated deformation parameters include: reading the acquisition records of the corresponding monitoring location of the same anomaly within adjacent acquisition cycles, calculating the rate of change of displacement, tilt angle, crack width, or foundation settlement as the deformation rate, and recording the direction of change as the deformation direction; generating settlement trajectory change information for the foundation structure, four corners, large corners, along the outer wall, and root column base; and generating tilt attitude change trends for supporting columns, columns, supporting beams, beams, or load-bearing walls. The generation of graded early warning execution signals includes: generating a first early warning execution signal when there is a single corresponding monitoring location data or a missing record in the structural status assessment result, and the first early warning execution signal is written into the acquisition cycle adjustment and focus verification processing content; generating a second early warning execution signal when there is continuously changing data in the structural status assessment result and the deformation rate and deformation direction have been recorded, and the second early warning execution signal is written into the precise location guidance information of the inspection personnel; generating a third early warning execution signal when there is continuously changing data in the structural status assessment result and the settlement trajectory change information or tilt attitude change trend has been recorded, and the third early warning execution signal is written into the alarm module trigger and deformation trend diagram generation processing content.

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