Jacking construction monitoring method, device and equipment and storage medium

Abstract

The invention discloses a jacking construction monitoring method, device and equipment and a storage medium, relates to the technical field of building construction, and aims to solve the problem of local instability of a building surface possibly caused by large errors of traditional jacking construction. The method comprises the steps that multi-measurement-point synchronous collection is conducted on a to-be-monitored structure in jacking construction, actual jacking displacement and actual structural stress are obtained, and multiple measurement points are collection points preset according to mechanical weak parts and jacking key point positions of the to-be-monitored structure; performing timestamp correlation integration on the actual jacking displacement and the actual structural stress to generate a multi-dimensional monitoring data stream; respectively calculating a displacement difference value and a stress difference value of each measuring point based on the multi-dimensional monitoring data flow; the method comprises the following steps: firstly, measuring the hydraulic pressure of a jack for jacking, generating a preliminary adjustment weight in combination with construction safety requirements, and distributing the oil pressure adjustment quantity of the jack for jacking according to the preliminary adjustment weight, so that the jacking displacement synchronization error and the structural stress error of each measuring point are both within a preset safety threshold range, and the weight ratio is positively correlated with the oil pressure adjustment quantity.

Description

Technical Field

[0001] This application relates to the field of building construction technology, and in particular to a method, device, equipment and storage medium for monitoring jacking construction. Background Technology

[0002] With the widespread application of large-scale structure jacking construction technology in bridge maintenance, building relocation and other fields, the expansion of project scale and the increasing complexity of structures have placed higher demands on construction monitoring technology.

[0003] Traditional manual monitoring methods (such as using manual rulers and dial gauges to monitor displacement) rely on operators' experience to judge synchronization, which is not only inefficient but also easily affected by human factors, and can no longer meet the requirements of high-precision construction. While applying automated monitoring technology to jacking construction, it still suffers from limitations due to relying on single parameters. Specifically, using a single laser rangefinder or tilt sensor for local monitoring can only obtain isolated data such as displacement or tilt angle, making it difficult to comprehensively reflect the overall structural condition and guarantee the synchronization of the jacking process. When structural stress is abnormal or displacement deviations accumulate, the system cannot respond and adjust in time, easily leading to local overload.

[0004] Therefore, traditional jacking construction has problems such as large construction errors and uneven structural stress. Especially in the process of jacking large structures, the accumulation of errors can easily lead to local instability of the building surface. Summary of the Invention

[0005] The purpose of this application is to provide a method, device, equipment and storage medium for monitoring jacking construction, which aims to solve the problem that large errors in traditional jacking construction may lead to local instability of the building surface.

[0006] To achieve the above objectives, this application adopts the following technical solution: This application provides a method for monitoring jacking construction. The method includes: synchronously collecting data from multiple measuring points on the structure to be monitored during jacking construction to obtain the actual jacking displacement and actual structural stress. The multiple measuring points are preset collection points based on the mechanically weak parts of the structure to be monitored and the key jacking points. The actual jacking displacement and actual structural stress of each measuring point are timestamped and integrated to generate a multi-dimensional monitoring data stream, which carries the measuring point identifier and the collection time. Based on the multi-dimensional monitoring data stream, the displacement difference between the actual jacking displacement and the preset target displacement, and the stress difference between the actual structural stress and the preset safety stress are calculated for each measuring point. Based on the displacement difference and stress difference, preliminary adjustment weights are generated in combination with construction safety requirements, and the hydraulic pressure adjustment of the jacking jacks is allocated according to the preliminary adjustment weights so that the synchronous error of the jacking displacement and the structural stress error of each measuring point are within the preset safety threshold range. The weight ratio is positively correlated with the hydraulic pressure adjustment.

[0007] The jacking construction monitoring method provided in this application ensures the comprehensiveness and representativeness of the monitoring data by simultaneously collecting data from multiple preset measuring points based on mechanically weak parts and key jacking points. It then integrates multi-source data through timestamp association to form a multi-dimensional monitoring data stream, guaranteeing the spatiotemporal consistency and real-time performance of data processing. Next, it calculates displacement and stress differences to quantify the deviation between the current and target states. Finally, it generates a weight allocation positively correlated with the hydraulic pressure adjustment based on the differences, achieving precise coordinated control of each jack. This effectively reduces synchronization and stress errors during the jacking construction process and lowers the probability of local instability of the building surface due to uneven stress.

[0008] In some embodiments, the above-mentioned method of synchronously acquiring data from multiple measuring points of the structure to be monitored during the jacking construction to obtain the actual jacking displacement and actual structural stress includes: using a laser rangefinder to measure each measuring point of the structure to be monitored to obtain displacement data; using a strain gauge sensor to measure each measuring point of the structure to be monitored to obtain stress data; and transmitting the displacement data and stress data to a data acquisition module for noise removal and data format standardization to obtain the actual jacking displacement and actual structural stress.

[0009] Based on this, this application uses a laser rangefinder and a strain gauge sensor to accurately acquire the original displacement and stress data, and then performs noise reduction and standardization preprocessing through the data acquisition module to improve the signal-to-noise ratio and consistency of the original data.

[0010] In some embodiments, the allocation of hydraulic pressure adjustment of the lifting jack according to the preliminary adjustment weight includes: determining the priority order of displacement control and stress control based on the preliminary adjustment weight, displacement difference, and stress difference, with the weight ratio being positively correlated with the priority; determining whether a high-priority parameter is greater than its process control threshold based on the priority order and multi-dimensional monitoring data stream, where the high-priority parameter is the displacement difference or stress difference, and the process control threshold is a pre-intervention threshold of the preset safety threshold; and allocating the hydraulic pressure adjustment according to the weight ratio of the preliminary adjustment weight, so that the high-priority parameter is less than or equal to its corresponding process control threshold.

[0011] Based on this, this application establishes a weight-based priority decision-making mechanism and sets a pre-emptive process control threshold for proactive intervention, thereby achieving targeted and rapid adjustment of high-priority parameters before the safety threshold is reached, thus improving the system's response speed and control accuracy.

[0012] In some embodiments, the jacking construction monitoring method provided in this application may further include: setting calibration benchmark conditions for the jack oil pressure based on the allocated jack oil pressure, displacement difference, and stress difference, wherein the benchmark conditions include a fixed time interval and / or an oil pressure fluctuation threshold; triggering an oil pressure calibration command when the jack oil pressure is found to meet the benchmark conditions; and adjusting the oil pressure output according to the oil pressure calibration command until the displacement difference and stress difference are both less than or equal to their respective process control thresholds.

[0013] Based on this, this application sets automatic calibration trigger conditions that include time and fluctuation thresholds, and forms a closed-loop calibration process with the goal of difference regression, thereby ensuring the stability and reliability of the hydraulic actuator system in long-term operation and avoiding drift in control accuracy.

[0014] In some embodiments, the above-mentioned generation of preliminary adjustment weights based on displacement difference and stress difference, combined with construction safety requirements, includes: calculating the overall synchronous deviation of the structure to be monitored based on displacement difference, and identifying the stress concentration area and the degree of exceeding limits of the structure to be monitored based on stress difference. The stress concentration area is the area where the actual structural stress exceeds its process control threshold. The overall synchronous deviation, stress concentration area, and degree of exceeding limits are input into a risk assessment model, and the instability risk level is output. The risk assessment model is a model constructed based on the mechanical analysis logic of the structure to be monitored. The instability risk level is divided into low instability risk, medium instability risk, and high instability risk. Based on the instability risk level, the initial allocation ratio of the adjustment weights is determined. The initial allocation ratio is adjusted according to the displacement difference and stress difference to obtain the preliminary adjustment weights.

[0015] Based on this, this application integrates information on overall deviation and local stress exceedance, and uses a risk assessment model based on structural mechanics logic to output a quantitative instability risk level, making the weight allocation more refined and improving the intelligence and pertinence of control decisions.

[0016] In some embodiments, the jacking construction monitoring method provided in this application may further include: collecting key stress measuring points and non-key stress measuring points of the structure to be monitored in layers to obtain tilt angle data, wherein the key stress measuring points are preset measuring points where the stress is concentrated during the jacking process of the structure to be monitored; associating and integrating the tilt angle data with the multi-dimensional monitoring data stream, and adding measuring point layer identifiers to obtain an updated multi-dimensional monitoring data stream; based on the updated multi-dimensional monitoring data stream, extracting the tilt angle data of the key stress measuring points, optimizing and correcting the preliminary adjustment weights according to the tilt angle data of the key stress measuring points, generating target adjustment weights, and applying the target adjustment weights to adjust the hydraulic pressure.

[0017] Based on this, this application introduces the tilt angle data of key force measurement points and optimizes and corrects the initial weights to achieve real-time perception and adaptive adjustment of structural attitude changes, further enhancing the system's ability to maintain overall stability under complex working conditions.

[0018] In some embodiments, the above-mentioned layered acquisition of key and non-key force measurement points of the structure to be monitored to obtain tilt angle data includes: acquiring first tilt angle data from key force measurement points using tilt sensors, and acquiring second tilt angle data from non-key force measurement points; performing error correction on the first tilt angle data to obtain effective tilt angle data, wherein the error correction is to eliminate measurement errors caused by environmental vibration interference through a multi-axis data fusion algorithm; and integrating the effective tilt angle data and the second tilt angle data to obtain tilt angle data.

[0019] Based on this, this application uses a multi-axis data fusion algorithm to correct errors in the tilt data of key measuring points, effectively eliminating environmental vibration interference and ensuring the accuracy of tilt sensing data.

[0020] This application provides a jacking construction monitoring device, which includes: an acquisition unit for synchronously acquiring data from multiple measuring points on the structure to be monitored during jacking construction, acquiring the actual jacking displacement and actual structural stress, wherein the multiple measuring points are preset acquisition points based on the mechanically weak parts of the structure to be monitored and the key jacking points; a generation unit for integrating the actual jacking displacement and actual structural stress of each measuring point with timestamps to generate a multi-dimensional monitoring data stream, wherein the multi-dimensional monitoring data stream carries the measuring point identifier and acquisition time; a calculation unit for calculating, based on the multi-dimensional monitoring data stream, the displacement difference between the actual jacking displacement and the preset target displacement of each measuring point, and the stress difference between the actual structural stress and the preset safety stress; the generation unit is also used to generate preliminary adjustment weights based on the displacement difference and stress difference, combined with construction safety requirements; and a processing unit for allocating the hydraulic pressure adjustment amount of the jacking jacks according to the preliminary adjustment weights, so that the synchronous error of the jacking displacement and the structural stress error of each measuring point are within the preset safety threshold range, wherein the weight ratio is positively correlated with the hydraulic pressure adjustment amount.

[0021] In some embodiments, the acquisition unit is specifically used to: measure each measuring point of the structure to be monitored using a laser rangefinder to obtain displacement data; measure each measuring point of the structure to be monitored using a strain gauge sensor to obtain stress data; and transmit the displacement data and stress data to the data acquisition module for noise removal and data format standardization processing to obtain the actual jacking displacement and actual structural stress.

[0022] In some embodiments, the above-mentioned processing unit is specifically used to: determine the priority order of displacement control and stress control based on the preliminary adjustment weight, displacement difference, and stress difference, wherein the weight ratio is positively correlated with the priority; determine whether a high-priority parameter is greater than its process control threshold based on the priority order and multi-dimensional monitoring data stream, wherein the high-priority parameter is the displacement difference or stress difference, and the process control threshold is a pre-intervention threshold of a preset safety threshold; and when the high-priority parameter is greater than its process control threshold, allocate the oil pressure adjustment amount according to the weight ratio of the preliminary adjustment weight, so that the high-priority parameter is less than or equal to its corresponding process control threshold.

[0023] In some embodiments, the processing unit is further configured to: set calibration reference conditions for the jack oil pressure based on the allocated jack oil pressure, displacement difference, and stress difference, wherein the reference conditions include a fixed time interval and / or an oil pressure fluctuation threshold; trigger an oil pressure calibration command when the jack oil pressure is detected to meet the reference conditions; and adjust the oil pressure output according to the oil pressure calibration command until the displacement difference and stress difference are both less than or equal to their respective process control thresholds.

[0024] In some embodiments, the aforementioned generation unit is specifically used for: calculating the overall synchronization deviation of the structure under monitoring based on the displacement difference, and identifying the stress concentration area and the degree of exceeding limits of the structure under monitoring based on the stress difference, wherein the stress concentration area is the area where the actual structural stress exceeds its process control threshold; inputting the overall synchronization deviation, stress concentration area, and degree of exceeding limits into a risk assessment model, and outputting an instability risk level, wherein the risk assessment model is a model constructed based on the mechanical analysis logic of the structure under monitoring, and the instability risk level is divided into low-level instability risk, medium-level instability risk, and high-level instability risk; determining the initial allocation ratio of the adjustment weight based on the instability risk level; and adjusting the initial allocation ratio according to the displacement difference and stress difference to obtain the preliminary adjustment weight.

[0025] In some embodiments, the acquisition unit is further configured to perform layered acquisition of key stress measurement points and non-key stress measurement points of the structure to be monitored, and acquire tilt angle data. The key stress measurement points are preset measurement points where the stress is concentrated during the jacking process of the structure to be monitored. The processing unit is further configured to: associate and integrate the tilt angle data with the multi-dimensional monitoring data stream, and add measurement point layer identifiers to obtain an updated multi-dimensional monitoring data stream; based on the updated multi-dimensional monitoring data stream, extract the tilt angle data of the key stress measurement points, optimize and correct the preliminary adjustment weights according to the tilt angle data of the key stress measurement points, generate target adjustment weights, and apply the target adjustment weights to adjust the hydraulic pressure.

[0026] In some embodiments, the acquisition unit is specifically used to: acquire first tilt angle data from key force measurement points using tilt sensors, and acquire second tilt angle data from non-key force measurement points; perform error correction on the first tilt angle data to obtain effective tilt angle data, wherein the error correction is to eliminate measurement errors caused by environmental vibration interference through a multi-axis data fusion algorithm; and integrate the effective tilt angle data and the second tilt angle data to obtain tilt angle data.

[0027] This application provides an electronic device, including: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to execute instructions to implement the jacking construction monitoring method described above.

[0028] This application provides a computer-readable storage medium storing instructions that, when executed on a terminal, cause the terminal to perform the jacking construction monitoring method described above.

[0029] This application provides a computer program product containing instructions that, when executed by a computer, cause the computer to perform the jacking construction monitoring method described above.

[0030] This application provides a chip including a processor and a communication interface, the communication interface and the processor being coupled together. The processor is used to run computer programs or instructions to implement the jacking construction monitoring method described above.

[0031] Specifically, the chip provided in this application embodiment also includes a memory for storing computer programs or instructions. Attached Figure Description

[0032] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0033] Figure 1 A flowchart illustrating a jacking construction monitoring method provided in this application embodiment; Figure 2 A structural diagram of a jacking construction monitoring device provided in an embodiment of this application; Figure 3 This is a structural diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0034] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0035] In the description of this application, it should be understood that the terms "upper," "lower," "left," "right," "front," "rear," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or relative positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this application and for simplification, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application. Unless otherwise specified, the above-mentioned orientational descriptions can be flexibly set in practical applications, provided that the relative positional relationships shown in the accompanying drawings are satisfied.

[0036] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0037] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," and "communication" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection. They can refer to a direct connection or an indirect connection through an intermediate medium, or a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0038] In some embodiments, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, article, or apparatus that includes that element.

[0039] In some embodiments, the words "exemplary" or "for example" are used to indicate that something is an example, illustration, or illustration. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0040] In the description of this specification, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0041] Currently, automated monitoring technologies applied in jacking construction suffer from the following drawbacks because they are mostly limited to the independent measurement of a single parameter: Firstly, the multi-parameter monitoring system operates independently, resulting in severe data fragmentation and making it impossible to achieve collaborative analysis of parameters such as displacement, tilt angle, and stress.

[0042] Secondly, the frequent manual intervention and reliance on manual operation for hydraulic jack adjustment lead to large synchronization errors and make it difficult to ensure the synchronization of the lifting process.

[0043] Third, it lacks closed-loop control and real-time early warning capabilities, and cannot dynamically balance the internal forces of the structure. When the structural stress is abnormal or the displacement deviation accumulates, the system cannot respond and adjust in time, which can easily lead to local overload.

[0044] In summary, the aforementioned defects ultimately lead to large errors in traditional jacking construction and prominent issues of uneven structural stress. In particular, during the jacking of large structures, the accumulation of errors can easily cause local instability of the building surface.

[0045] Against this backdrop, to address the problem that large errors in jacking construction can lead to localized instability of the building surface in related technologies, this application provides a jacking construction monitoring method, device, equipment, and storage medium. By deploying measuring points at key structural locations, displacement and stress data are simultaneously collected. After fusion processing, the difference between the collected data and the target value is calculated. Based on this difference, a weighted allocation scheme positively correlated with the hydraulic pressure adjustment is intelligently generated. Finally, by precisely controlling the hydraulic pressure of the jacks, coordinated control of jacking synchronization accuracy and structural stress safety is achieved.

[0046] The following is a reference. Figure 1 The jacking construction monitoring method provided in the embodiments of this application is described.

[0047] Figure 1 The flowchart of the jacking construction monitoring method provided in this application embodiment is shown. The subject executing the method can be an electronic device or various devices / modules in the electronic device, such as integrated circuits or chips. This application embodiment does not specifically limit this.

[0048] For example, such as Figure 1 As shown, the jacking construction monitoring method provided in this application embodiment may include the following S101 to S105: S101. Simultaneously collect data from multiple measuring points on the structure to be monitored during the jacking construction to obtain the actual jacking displacement and actual structural stress.

[0049] In this embodiment of the application, the structure to be monitored can be a large-scale jacking construction structure such as a bridge or building.

[0050] For example, for the jacking project of a long-span steel box girder bridge, the structure to be monitored includes key components such as the main beam, piers, and supports; for the overall jacking and relocation project of a historical building, the structure to be monitored includes the main load-bearing components such as the foundation, walls, and floors.

[0051] In this embodiment, the multiple measurement points are preset collection points based on the mechanically weak parts of the structure to be monitored and the key lifting points.

[0052] In one example, for a continuous concrete beam bridge, the mechanically weak points include the area near the bridge bearings (the bearings transmit vertical loads and are prone to stress concentration) and the mid-span area (the mid-span is most susceptible to bending and is prone to displacement deviation during jacking). The key jacking points include the beam bottom position corresponding to each bearing (directly reflecting the jacking height of the bearing) and the area near the expansion joints at both ends of the bridge (related to the jacking synchronization and structural deformation coordination), with a total of 8 preset measuring points.

[0053] In another example, for a multi-story steel structure factory building, the weak points in mechanics include beam-column joints (key nodes for load transfer in steel structure factory buildings) and the connection points between load-bearing walls and floor slabs (bearing large vertical loads). The key points for jacking include the column bases at the four corners of the factory building (to control the overall jacking levelness) and the central area of ​​each floor slab (to monitor the changes in floor slab deflection during jacking). A total of 12 measuring points are preset.

[0054] In some embodiments, a laser rangefinder can be used to measure each measuring point of the structure to be monitored to obtain displacement data.

[0055] The displacement data refers to the positional changes of each measuring point on the structure under monitoring during the jacking process.

[0056] In this embodiment, the laser rangefinder is a device that achieves displacement measurement by emitting laser signals and combining them with construction environment parameters for correction.

[0057] For example, when installing a laser rangefinder at a measuring point near the support of the aforementioned continuous concrete beam bridge, the transmitting end of the laser rangefinder can be fixed at the measuring point at the bottom of the bridge beam, and the receiving end can be fixed on the temporary support structure below to ensure that the position of the receiving end is stable.

[0058] Specifically, during the measurement process, the temperature and humidity parameters of the construction environment can be collected in real time using a laser rangefinder (e.g., during high-temperature construction in summer, the ambient temperature reaches 35℃ and the humidity is 60%), and the original measurement data can be corrected according to a preset environmental correction model (e.g., based on the difference in the propagation speed of laser under different temperatures and humidity). For example, if the measured displacement is 2.1mm without correction, it can be adjusted to 2.0mm after temperature correction to eliminate the influence of environmental factors on the accuracy of displacement measurement.

[0059] In some embodiments, strain gauge sensors can be used to measure each measuring point of the structure to be monitored to obtain stress data.

[0060] Among them, the stress data is the relevant data of electrical signals converted into deformation of each measuring point of the structure under monitoring due to the lifting force.

[0061] In this embodiment, the strain gauge sensor is a sensor that converts structural deformation into an electrical signal and eliminates interference from ambient temperature.

[0062] For example, when installing strain gauge sensors at beam-column joint measuring points in the above-mentioned multi-story steel structure factory building, a half-bridge compensation circuit design can be adopted: the working strain gauge is pasted in the direction of force on the beam-column joint (such as vertical or horizontal), and the compensation strain gauge is pasted on a specimen of the same material as the measuring point but not subjected to force; the working strain gauge and the compensation strain gauge are placed in the same construction environment to form a half-bridge.

[0063] Specifically, during the measurement process, when the ambient temperature changes (e.g., from 25℃ to 30℃), the spurious strain signals generated by the working strain gauge and the compensation strain gauge due to temperature will cancel each other out, retaining only the true deformation signal generated by the structure under jacking force. For example, without compensation, the electrical signal corresponds to a spurious stress of 5MPa. After temperature compensation, the spurious stress is eliminated, and the true stress data is 12MPa, ensuring that the stress data accurately reflects the actual stress state of the structure.

[0064] Furthermore, the collected displacement and stress data can be transmitted to the data acquisition module for noise removal and data format standardization to obtain the actual lifting displacement and actual structural stress.

[0065] For example, the Kalman filter algorithm can be used to remove noise from displacement and stress data. If the displacement data contains high-frequency noise with a fluctuation amplitude of ±0.3mm caused by construction vibration, the noise fluctuation amplitude is reduced to ±0.05mm after Kalman filtering. At the same time, the processed displacement and stress data are uniformly converted into standardized data in JavaScript object notation (JSON) format (i.e., actual jacking displacement and actual structural stress).

[0066] Specifically, each data entry can include the measuring point number (such as "Bridge-01" and "Factory-05"), the acquisition time, the data type (such as displacement / stress), and the data value. For example, the actual jacking displacement data obtained after processing is "Bridge-01: 2.0mm", and the actual structural stress data is "Factory-05: 12MPa".

[0067] Thus, this application uses a laser rangefinder and a strain gauge sensor to accurately acquire raw displacement and stress data, and then performs noise reduction and standardization preprocessing on the data acquisition module, thereby improving the signal-to-noise ratio and consistency of the raw data.

[0068] S102. The actual jacking displacement and actual structural stress of each measuring point are time-stamped and integrated to generate a multi-dimensional monitoring data stream.

[0069] In this embodiment, the multi-dimensional monitoring data stream carries the measurement point identifier and the collection time.

[0070] For example, the multi-dimensional monitoring data stream is a sequence that carries measurement point identification and acquisition time information and continuously correlates displacement and stress data.

[0071] Specifically, the multi-dimensional monitoring data stream can adopt a hierarchical data structure, containing the following information: ① Data header: containing information such as project number, acquisition time, and data version; ② Measurement point information: containing measurement point ID, structural location, sensor type, and installation coordinates; ③ Monitoring data: containing displacement values, stress values, and data quality identifiers; ④ Status information: containing acquisition status, alarm status, and equipment status.

[0072] In this embodiment, timestamp association and integration are achieved by matching displacement and stress data from different measuring points at the same time using a unified time reference, thus ensuring spatiotemporal synchronization of data.

[0073] For example, a global positioning system (GPS) timing module can be used to provide a unified Coordinated Universal Time (UTC) time reference for all monitoring equipment. After the actual jacking displacement and actual structural stress data of each measuring point are collected, they are automatically stamped with a UTC timestamp accurate to milliseconds.

[0074] Specifically, if at UTC10:00:00.000, the actual jacking displacement of measuring point "Bridge-01" of the concrete continuous beam bridge is 2.0 mm and the actual structural stress is 15 MPa, and the actual jacking displacement of measuring point "Bridge-02" is 1.9 mm and the actual structural stress is 14.8 MPa, then by integrating the timestamps, measuring point identifiers, displacements, and stresses of the two measuring points, a multi-dimensional monitoring data stream can be generated (e.g., UTC10:00:00.000, Bridge-01, displacement 2.0 mm, stress 15 MPa; Bridge-02, displacement 1.9 mm, stress 14.8 MPa). Subsequently, a record is generated at fixed intervals (e.g., 100 ms) to form a continuous data stream.

[0075] S103. Based on the multi-dimensional monitoring data stream, calculate the displacement difference between the actual jacking displacement and the preset target displacement at each measuring point, as well as the stress difference between the actual structural stress and the preset safety stress.

[0076] In this embodiment, the preset target displacement is the jacking target position data of each measuring point determined according to the construction design.

[0077] For example, the preset target displacement can be determined by finite element analysis (FEA), taking into account the structural stiffness distribution, load conditions and jacking process requirements.

[0078] Specifically, for a simply supported beam bridge with a span of 40 meters, the preset target displacement curve can be set as a parabola, with the largest displacement at mid-span (e.g., a design jacking amount of 100 mm), zero displacement at the supports, and intermediate points distributed according to a quadratic parabola. The preset target displacement can be stored in the form of a data table, containing the target values ​​of each measuring point at different jacking stages.

[0079] In this embodiment, the preset safety stress is a safety upper limit data set based on the mechanical properties of the structure to be monitored.

[0080] For example, for Q345 steel, with a yield strength of 345 MPa, and a safety factor of 1.5, the preset safety stress is 230 MPa; for C50 concrete, with a compressive strength design value of 23.1 MPa, and a safety factor of 1.8, the preset safety stress is 12.8 MPa. Different safety stress values ​​are used for different material parts, forming a stress control threshold table.

[0081] Specifically, the actual lifting displacement and actual structural stress of each measuring point at a certain moment can be extracted from the multi-dimensional monitoring data stream, and the difference between these values ​​and the corresponding preset target displacement and preset safety stress can be calculated.

[0082] For example, if at UTC 10:30:00.000, the actual jacking displacement of the "bridge-01" measuring point is 49mm, and the preset target displacement is 50mm, then the displacement difference = 49mm - 50mm = -1mm (the negative sign indicates that the actual displacement did not reach the target); the actual structural stress is 17MPa, and the preset safety stress is 16.17MPa, then the stress difference = 17MPa - 16.17MPa = 0.83MPa (the positive sign indicates that the actual stress exceeds the preset safety stress).

[0083] S104. Based on the displacement difference and stress difference, preliminary adjustment weights are generated in combination with construction safety requirements.

[0084] In some embodiments, the overall synchronization deviation of the structure to be monitored can be calculated based on the displacement difference.

[0085] In this embodiment of the application, the overall synchronization deviation is used to evaluate the synchronization of the overall jacking of the structure. If the overall synchronization deviation exceeds the preset synchronization deviation warning value (e.g., 2mm), the displacement control weight needs to be adjusted.

[0086] For example, the displacement difference of all measuring points at a certain moment can be extracted, and then the absolute value of each displacement difference can be taken, where the largest absolute value is the overall synchronization deviation.

[0087] Specifically, if the displacement differences of the eight measuring points of the above-mentioned concrete continuous beam bridge are -1mm, -0.8mm, -1.2mm, -0.9mm, -1.1mm, -0.7mm, -1.0mm, and -0.8mm respectively, and the maximum absolute value is 1.2mm, then the overall synchronization deviation is 1.2mm.

[0088] In some embodiments, stress concentration areas and the degree of exceeding limits in the structure under monitoring can be identified based on stress differences.

[0089] Among them, the stress concentration area is the area where the actual structural stress is greater than its process control threshold.

[0090] For example, the process control threshold can be set to 80% of the preset safety threshold (such as the preset safety stress) (e.g., if the preset safety stress of a concrete bridge is 16.17 MPa, then the process control threshold = 16.17 MPa × 80% = 12.94 MPa); then the actual structural stress of each measuring point is extracted. If the actual structural stress of a measuring point is greater than the process control threshold, then the area where the measuring point is located is a stress concentration area.

[0091] Specifically, taking a preset safety stress of 16.17 MPa and a process control threshold of 12.94 MPa as an example, if the actual structural stresses at measuring points "Bridge-03" and "Bridge-04" (both located near the west support) of the aforementioned concrete continuous beam bridge are 18 MPa and 17.5 MPa respectively, both exceeding the process control threshold of 12.94 MPa, it indicates that the areas where "Bridge-03" and "Bridge-04" are located are stress concentration areas. Furthermore, the calculated exceedance level for "Bridge-03" is 18 MPa - 16.17 MPa = 1.83 MPa, and for "Bridge-04" it is 17.5 MPa - 16.17 MPa = 1.78 MPa.

[0092] Furthermore, the overall synchronization deviation, stress concentration area, and degree of exceeding limits can be input into the risk assessment model to output the instability risk level.

[0093] The instability risk levels are divided into low-level instability risk, medium-level instability risk, and high-level instability risk.

[0094] In this embodiment of the application, the risk assessment model is a model constructed based on the mechanical analysis logic of the structure to be monitored.

[0095] For example, the risk assessment model can use a fuzzy inference system (FIS). The input variables include the synchronization deviation, the area of ​​the stress concentration region, and the proportion of the maximum exceedance (e.g., the overall synchronization deviation has a weight of 0.4, the area of ​​the stress concentration region has a weight of 0.3, and the maximum exceedance has a weight of 0.3). The risk score is calculated by weighted summation, and the output is a risk index between 0 and 1.

[0096] Among them, a risk index of 0-0.3 corresponds to low-level instability risk, 0.3-0.7 corresponds to medium-level instability risk, and 0.7-1 corresponds to high-level instability risk.

[0097] Specifically, for a concrete continuous beam bridge, if the overall synchronous deviation is 1.2mm (warning value is 2mm), the stress concentration area includes 2 measuring points, and the maximum exceedance is 1.83MPa (warning value is 4MPa), then the calculated risk score is: (1.2 / 3)×100×0.4+(2 / 8)×100×0.3+(1.83 / 4)×100×0.3≈37.2, and the output risk index is 0.372, then the corresponding instability risk level is "medium instability risk".

[0098] In some embodiments, after obtaining the instability risk level, an initial allocation ratio of the adjustment weight can be determined based on the instability risk level, and the initial allocation ratio can be adjusted according to the displacement difference and stress difference to obtain the preliminary adjustment weight.

[0099] For example, the correspondence between the preset risk level and the initial weight allocation can be as follows: under low-level instability risk, displacement control weight is 50% and stress control weight is 50% (both are equally important); under medium-level instability risk, displacement control weight is 40% and stress control weight is 60% (prioritizing stress over-limit control to avoid local damage); under high-level instability risk, displacement control weight is 30% and stress control weight is 70% (focusing on solving stress problems while also taking synchronicity into account).

[0100] Specifically, taking a concrete continuous beam bridge at a medium level of instability risk as an example, with an initial allocation ratio of 40% for displacement control and 60% for stress control, if in subsequent monitoring the stress difference decreases from 1.83 MPa to 1.0 MPa (i.e., the degree of exceeding the limit decreases), while the displacement difference increases from -1 mm to -1.5 mm (i.e., the synchronicity deteriorates), then the initial ratio is adjusted to 50% for displacement control and 50% for stress control, resulting in the preliminary adjustment weights.

[0101] Specifically, taking a multi-story steel structure factory building under low-level instability risk as an example, the initial allocation ratio is 50% for displacement control and 50% for stress control. If, during subsequent monitoring, the displacement difference decreases from -5mm to -2mm (i.e., synchronous improvement) while the stress difference remains unchanged, the initial ratio is adjusted to 45% for displacement control and 55% for stress control, resulting in the preliminary adjustment weights.

[0102] Thus, by integrating information on overall deviation and local stress exceedance, and using a risk assessment model based on structural mechanics logic to output a quantitative level of instability risk, this application makes the weight allocation more refined and improves the intelligence and pertinence of control decisions.

[0103] S105. Allocate the hydraulic pressure adjustment amount of the jacking jack according to the initial adjustment weight, so that the synchronous error of the jacking displacement and the structural stress error of each measuring point are within the preset safety threshold range.

[0104] Among them, the weight ratio is positively correlated with the oil pressure adjustment amount.

[0105] In this embodiment, the jack is a hydraulic actuator that drives the structure to be monitored to be lifted.

[0106] In one example, two jacks can be installed below each support measuring point of the above-mentioned concrete continuous beam bridge (a total of 8 measuring points and 16 jacks). The rated working pressure of the jacks is 30MPa. The piston rod is extended and retracted by the change of hydraulic pressure to achieve the lifting of the structure.

[0107] In another example, four jacks (a total of 16 jacks for each column foot measuring point) can be installed below each column foot measuring point in the above-mentioned multi-story steel structure factory building. The rated working pressure is 25MPa, which ensures that the factory building is lifted evenly and avoids local overload.

[0108] In this embodiment, the preset safety threshold is a pre-defined error allowable range based on the mechanical properties of the structure to be monitored.

[0109] In one example, the preset safety threshold for the synchronous error of the jacking displacement of a concrete continuous beam bridge can be set to ±0.5mm (i.e., the absolute value of the displacement difference at each measuring point must be ≤0.5mm), and the preset safety threshold for the structural stress error can be set to ±1MPa (the absolute value of the difference between the actual jacking stress and the preset safety stress must be ≤1MPa).

[0110] In another example, the preset safety threshold for the displacement synchronization error of a multi-story steel structure factory building can be set to ±2mm (the allowable error is slightly wider due to the larger volume of the factory building), and the preset safety threshold for the structural stress error can be set to ±5MPa to ensure that the construction accuracy and safety requirements are met.

[0111] In some embodiments, the priority order of displacement control and stress control can be determined first based on the preliminary adjustment weights, displacement differences, and stress differences.

[0112] Among them, the weight ratio is positively correlated with the priority. The priority order is used to determine which parameter to adjust first, so as to avoid conflicts when adjusting multiple parameters.

[0113] For example, when the stress control weight exceeds 60%, the system enters the stress priority mode to prioritize handling stress over-limit issues; when the displacement control weight exceeds 60%, the system enters the synchronization priority mode to focus on controlling the jacking synchronization.

[0114] In some embodiments, priority order and multi-dimensional monitoring data streams can be used to determine whether a high-priority parameter is greater than its process control threshold.

[0115] In the embodiments of this application, the high-priority parameter is the displacement difference or the stress difference.

[0116] For example, the process control threshold can be a pre-intervention threshold for a preset safety threshold. For instance, the process control threshold can be 60% to 90% of the preset safety threshold (such as a preset safety stress error ±1MPa or a preset displacement synchronization error ±0.5mm).

[0117] Specifically, taking a process control threshold of 80% of the preset safe stress error, i.e., ±0.8MPa, as an example. If the stress control priority is higher than the displacement control (e.g., weight 60% > 40%), then the high-priority parameter is the stress difference. In this case, the stress difference is extracted from the multi-dimensional monitoring data stream. If the stress difference at a certain measuring point is 0.9MPa and the absolute value is greater than 0.8MPa, then it is determined that the high-priority parameter exceeds the process control threshold.

[0118] Specifically, taking 80% of the preset displacement synchronization error (±0.4mm) as an example, if the displacement control priority is higher than the stress control priority, then the high-priority parameter is the displacement difference. The displacement difference is extracted from the multi-dimensional monitoring data stream. If the displacement difference at a certain measuring point is -0.5mm and the absolute value is greater than 0.4mm, then it is determined that the high-priority parameter exceeds the process control threshold.

[0119] Optionally, when a high-priority parameter is greater than its process control threshold, the oil pressure regulation amount is allocated according to the weight ratio of the initial adjustment weight, so that the high-priority parameter is less than or equal to its corresponding process control threshold.

[0120] Based on previous debugging experience, it is known that for every 0.1 MPa increase in oil pressure, the stress decreases by approximately 0.18 MPa.

[0121] For example, taking a process control threshold of 0.8 MPa as an example. If the high-priority parameter of a certain measuring point is a stress difference of 0.9 MPa, and the initial adjustment weights are displacement 40% and stress 60%, then the total oil pressure adjustment needs to be increased by 0.5 MPa. According to the weight allocation, stress control is allocated 0.5 MPa × 60% = 0.3 MPa, and displacement control is allocated 0.5 MPa × 40% = 0.2 MPa. After adjustment, the oil pressure at this measuring point increases by 0.3 MPa to reduce stress and increases by 0.2 MPa to compensate for displacement. Finally, the stress difference is reduced to 0.7 MPa, which is less than the process control threshold of 0.8 MPa, and the displacement difference is adjusted from -1 mm to -0.8 mm, achieving proactive intervention.

[0122] Thus, by establishing a weight-based priority decision-making mechanism and setting a pre-emptive process control threshold for proactive intervention, this application achieves targeted and rapid adjustment of high-priority parameters before the safety threshold is reached, thereby improving the system's response speed and control accuracy.

[0123] In the jacking construction monitoring method provided in this application embodiment, multiple measuring points are preset according to the mechanically weak parts and key jacking points for synchronous collection, ensuring the comprehensiveness and representativeness of the monitoring data; then, the multi-source data is timestamped and integrated to form a multi-dimensional monitoring data stream, ensuring the spatiotemporal consistency and real-time performance of data processing; then, the displacement difference and stress difference are calculated to quantify the deviation between the current state and the target state; finally, a weight allocation positively correlated with the oil pressure adjustment is generated based on the difference, realizing precise coordinated control of each jack, thereby effectively reducing the synchronization error and stress error in the jacking construction process and reducing the probability of local instability of the building surface due to uneven stress.

[0124] Optionally, after distributing the hydraulic pressure of the jacks, calibration reference conditions for the hydraulic pressure of the jacks can be set based on the distributed hydraulic pressure, displacement difference, and stress difference.

[0125] In the embodiments of this application, the reference conditions include at least one of a fixed time interval and an oil pressure fluctuation threshold.

[0126] For example, the fixed time interval can be a manually set value that can be flexibly adjusted according to the actual scenario. For instance, the fixed time interval can be 30 minutes to avoid calibration being too frequent and affecting construction efficiency, or too long an interval causing accuracy drift.

[0127] For example, the hydraulic pressure fluctuation threshold can be determined based on the jack's rated pressure. For instance, a fluctuation range of 0.67% of the rated pressure can be taken: 30MPa × 0.67% = ±0.2MPa.

[0128] Specifically, when setting benchmark conditions, for continuous concrete beam bridges, two benchmark conditions can be enabled simultaneously (fixed time interval of 30 minutes + oil pressure fluctuation threshold ±0.2MPa), and calibration will be triggered when either condition is met; for multi-story steel structure workshops, only the oil pressure fluctuation threshold ±0.2MPa can be enabled.

[0129] In some embodiments, when the hydraulic pressure of the jack is detected to meet the reference conditions, a hydraulic pressure calibration command is triggered, and the hydraulic pressure output is adjusted according to the hydraulic pressure calibration command until the displacement difference and stress difference are both less than or equal to their respective process control thresholds.

[0130] For example, taking the oil pressure fluctuation threshold as a reference condition, the oil pressure data of the jack can be monitored in real time. If the oil pressure of a certain jack fluctuates from 10.0MPa to 10.3MPa within 5 minutes, with a fluctuation range of 0.3MPa, which exceeds the oil pressure fluctuation threshold of ±0.2MPa, then an oil pressure calibration command is triggered.

[0131] For example, the above calibration process may include: ① recording the current oil pressure value and the target value; ② gradually adjusting the oil pressure in steps of 0.5 MPa; ③ waiting 10 seconds after each adjustment and monitoring the displacement and stress change trends; ④ recording the optimal oil pressure value when both the displacement difference and stress difference return to within the process control threshold; and completing the calibration.

[0132] Specifically, if the current displacement difference (e.g. -0.8mm) and stress difference (e.g. 0.7MPa) of the corresponding measuring point of the jack are read, the oil pressure is increased in increments of 0.5MPa until the displacement difference is less than or equal to the displacement process control threshold (e.g. ±0.4mm) and the stress difference is also less than or equal to the stress process control threshold (e.g. ±0.5MPa).

[0133] Furthermore, after calibration, the oil pressure, displacement, and stress data before and after calibration can be recorded to verify the calibration effect. For example, before calibration, oil pressure fluctuations caused the displacement difference to expand to -1mm, while after calibration, it stabilized at -0.4mm, ensuring that the jack oil pressure is always within the precise control range.

[0134] Thus, by setting automatic calibration trigger conditions that include time and fluctuation thresholds, and forming a closed-loop calibration process with the goal of difference regression, this application ensures the stability and reliability of the hydraulic actuator system in long-term operation and avoids drift in control accuracy.

[0135] Optionally, to further improve the accuracy of hydraulic pressure regulation, the jacking construction monitoring method provided in this application embodiment may further include steps P1 to P4: Step P1: Collect data in layers from key stress measurement points and non-key stress measurement points of the structure to be monitored to obtain tilt angle data.

[0136] Among them, the tilt angle data is the angular deviation data between the measuring point and the horizontal reference plane; the key force measuring points are the preset measuring points where the force is concentrated during the jacking process of the structure to be monitored.

[0137] For example, key stress measurement points may include: column end nodes and beam end nodes, support connection points, structural cross-section changes, and previously damaged areas; non-key stress measurement points may include: secondary structural members and auxiliary support points.

[0138] In some embodiments, a tilt sensor can be used to collect the first tilt angle data from key force measurement points.

[0139] For example, a dual-axis tilt sensor capable of simultaneously measuring longitudinal and lateral tilt angles can be installed at each key stress-bearing point. During the jacking process, the tilt angle of the key stress-bearing points can be collected in real time through the sensor. For instance, if the longitudinal tilt angle of the "Bridge-01" measuring point (west support) is collected as 0.5°, it indicates that the beam is tilted to the west by 0.5° and the lateral tilt angle is 0.1°, thus obtaining the first tilt angle data.

[0140] Furthermore, error correction is performed on the first tilt angle data to obtain the effective tilt angle data.

[0141] In this embodiment of the application, error correction can be achieved by eliminating measurement errors caused by environmental vibration interference through a multi-axis data fusion algorithm.

[0142] It should be noted that, due to the presence of urban roads near the construction area of ​​the concrete continuous beam bridge, vehicle traffic will cause micro-vibrations in the bridge (such as vibration frequencies of 2-5Hz), resulting in spurious fluctuations in the first tilt angle data (such as the longitudinal tilt angle of "Bridge-01" fluctuating between 0.48° and 0.52°). Therefore, it is necessary to correct the error in the first tilt angle data.

[0143] For example, an extended Kalman filter (EKF) multi-axis data fusion algorithm can be used to fuse the longitudinal and lateral data of the dual-axis tilt sensor with the displacement data of the laser rangefinder. The algorithm model can then identify and filter out vibration interference signals to obtain effective tilt angle data.

[0144] Specifically, the longitudinal tilt angle of the first tilt angle data collected was 0.5°. After correction, the longitudinal tilt angle of "Bridge-01" stabilized at 0.49°, and the fluctuation range was reduced to ±0.005°.

[0145] In some embodiments, a tilt sensor can also be used to collect second tilt angle data from non-critical force measurement points.

[0146] For example, a single-axis tilt sensor can be installed at each non-critical stress point. During the jacking process, the tilt angle of the non-critical stress point can be collected in real time by the sensor. For example, if the tilt angle of "Bridge-05" (near the guardrail) is collected as 0.2°, the second tilt angle data can be obtained.

[0147] Furthermore, the effective tilt angle data and the second tilt angle data are integrated to obtain the tilt angle data.

[0148] For example, it can be integrated according to the format of "measuring point type-measuring point number-tilt angle-data type".

[0149] Specifically, the inclination angle data obtained after integration of the concrete continuous beam bridge can be as follows: "Key stress measuring point - bridge - 01, longitudinal 0.49°, effective inclination angle data; Key stress measuring point - bridge - 02, longitudinal 0.47°, effective data; Non-key stress measuring point - bridge - 05, 0.2°, second inclination angle data; Non-key stress measuring point - bridge - 06, 0.18°, second inclination angle data."

[0150] Specifically, the tilt angle data obtained after integrating the multi-story steel structure factory building can be: "Key stress measuring point - factory-01, 0.3°, effective tilt angle data; Key stress measuring point - factory-02, 0.29°, effective tilt angle data; Non-key stress measuring point - factory-10, 0.1°, second tilt angle data".

[0151] Thus, this application effectively eliminates environmental vibration interference and ensures the accuracy of tilt sensing data by using a multi-axis data fusion algorithm to correct errors in the tilt data of key measuring points.

[0152] Step P2: Integrate the tilt angle data with the multi-dimensional monitoring data stream and add layered identifiers for the measurement points to obtain the updated multi-dimensional monitoring data stream.

[0153] In this embodiment of the application, the updated multi-dimensional monitoring data stream includes displacement, stress, tilt, and layering information.

[0154] For example, basic data for a certain moment (e.g., UTC11:00:00.000) can be extracted from the multi-dimensional monitoring data stream: “Bridge-01, displacement 49.5mm, stress 16MPa; Bridge-05, displacement 49.2mm, stress 15MPa”; the tilt angle data corresponding to that moment: “Bridge-01, longitudinal 0.49°, key stress measuring point; Bridge-05, 0.2°, non-key stress measuring point” can be associated with it, and layered identifiers for key stress measuring point ① and non-key stress measuring point ② can be added to form the updated data stream record: “UTC11:00:00.000, Bridge-01 (①), displacement 49.5mm, stress 16MPa, longitudinal tilt 0.49°; Bridge-05 (②), displacement 49.2mm, stress 15MPa, tilt 0.2°”.

[0155] Step P3: Based on the updated multi-dimensional monitoring data stream, extract the tilt angle data of key force measurement points.

[0156] For example, the tilt angle data can be extracted from the updated multi-dimensional monitoring data stream by filtering records marked with "key measurement point" (①) through a data filtering algorithm.

[0157] Specifically, “Bridge-01 (①), longitudinal tilt 0.49°” can be extracted from the multi-dimensional monitoring data stream of UTC11:00:00.000.

[0158] Step P4: Optimize and correct the preliminary adjustment weights based on the tilt angle data of key force measurement points, generate target adjustment weights, and apply the target adjustment weights to adjust the oil pressure.

[0159] In this embodiment of the application, a safety threshold for the tilt angle data of key stress measurement points (such as ±0.5°) can be preset. If the tilt angle exceeds this safety threshold, it may cause local instability of the structure (such as excessive tilt of the beam causing the support to come loose).

[0160] For example, taking an initial adjustment weight of 40% for displacement and 60% for stress as an example. If the tilt angle data of the concrete continuous beam bridge "Bridge-03" is 0.51°, which exceeds the angle safety threshold of 0.5°, since the tilt angle deviation is mainly related to uneven displacement, the displacement weight of "Bridge-03" can be increased from 40% to 55% and the stress weight reduced to 45% to generate the target adjustment weight.

[0161] Furthermore, taking a total hydraulic pressure adjustment of 0.6 MPa as an example, based on the generated target adjustment weights, a hydraulic pressure adjustment of 0.6 MPa × 55% = 0.33 MPa can be allocated to displacement control, and a hydraulic pressure adjustment of 0.6 MPa × 45% = 0.27 MPa can be allocated to stress control. After adjustment, the tilt angle data of the "bridge-03" measuring point is reduced to 0.49°, which is less than the angle safety threshold of 0.5°. The displacement difference is reduced from -0.9 mm to -0.6 mm, and the stress difference remains at 0.6 MPa, ensuring the stability of the structural attitude.

[0162] Thus, by introducing tilt angle data from key stress measurement points and optimizing and correcting the initial weights, this application achieves real-time perception and adaptive adjustment of structural attitude changes, further enhancing the system's ability to maintain overall stability under complex working conditions.

[0163] The above primarily describes the solutions provided by the embodiments of this application from a methodological perspective. To achieve the above functions, the jacking construction monitoring device or electronic device includes corresponding hardware structures and / or software modules for performing each function. Those skilled in the art should readily recognize that, based on the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0164] This application embodiment can, based on the above method, exemplarily divide the jacking construction monitoring device or electronic device into functional modules. For example, the jacking construction monitoring device or electronic device may include functional modules corresponding to each functional division, or two or more functions may be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. It should be noted that the module division in this application embodiment is illustrative and only represents one logical functional division; in actual implementation, there may be other division methods.

[0165] Figure 2 This is a structural diagram of a jacking construction monitoring device provided in an embodiment of this application. The jacking construction monitoring device 200 includes: an acquisition unit 201, a generation unit 202, a calculation unit 203, and a processing unit 204.

[0166] The system comprises: an acquisition unit 201, used to synchronously collect data from multiple measuring points on the structure to be monitored during the jacking construction, acquiring the actual jacking displacement and actual structural stress. The multiple measuring points are preset collection points based on the mechanically weak parts of the structure to be monitored and the key jacking points; a generation unit 202, used to integrate the actual jacking displacement and actual structural stress of each measuring point with timestamps to generate a multi-dimensional monitoring data stream, which carries the measuring point identifier and acquisition time; a calculation unit 203, used to calculate the displacement difference between the actual jacking displacement and the preset target displacement, and the stress difference between the actual structural stress and the preset safety stress of each measuring point based on the multi-dimensional monitoring data stream; the generation unit 202 is also used to generate preliminary adjustment weights based on the displacement difference and stress difference, combined with construction safety requirements; and a processing unit 204, used to allocate the hydraulic pressure adjustment amount of the jacking jacks according to the preliminary adjustment weights, so that the synchronous error of the jacking displacement and the structural stress error of each measuring point are within the preset safety threshold range, with the weight ratio being positively correlated with the hydraulic pressure adjustment amount.

[0167] In some embodiments, the acquisition unit 201 is specifically used to: measure each measuring point of the structure to be monitored using a laser rangefinder to obtain displacement data; measure each measuring point of the structure to be monitored using a strain gauge sensor to obtain stress data; and transmit the displacement data and stress data to the data acquisition module for noise removal and data format standardization processing to obtain the actual lifting displacement and actual structural stress.

[0168] In some embodiments, the processing unit 204 is specifically used to: determine the priority order of displacement control and stress control based on the preliminary adjustment weight, displacement difference, and stress difference, wherein the weight ratio is positively correlated with the priority; determine whether a high-priority parameter is greater than its process control threshold based on the priority order and multi-dimensional monitoring data stream, wherein the high-priority parameter is the displacement difference or stress difference, and the process control threshold is a pre-intervention threshold of a preset safety threshold; and when the high-priority parameter is greater than its process control threshold, allocate the oil pressure adjustment amount according to the weight ratio of the preliminary adjustment weight, so that the high-priority parameter is less than or equal to its corresponding process control threshold.

[0169] In some embodiments, the processing unit 204 is further configured to: set calibration reference conditions for the jack oil pressure based on the allocated jack oil pressure, displacement difference, and stress difference, wherein the reference conditions include a fixed time interval and / or an oil pressure fluctuation threshold; trigger an oil pressure calibration command when the jack oil pressure is detected to meet the reference conditions; and adjust the oil pressure output according to the oil pressure calibration command until the displacement difference and stress difference are both less than or equal to their respective process control thresholds.

[0170] In some embodiments, the generation unit 202 is specifically used to: calculate the overall synchronization deviation of the structure to be monitored based on the displacement difference, and identify the stress concentration area and the degree of exceeding limits of the structure to be monitored based on the stress difference, wherein the stress concentration area is the area where the actual structural stress is greater than its process control threshold; input the overall synchronization deviation, stress concentration area and degree of exceeding limits into the risk assessment model, and output the instability risk level, wherein the risk assessment model is a model constructed based on the mechanical analysis logic of the structure to be monitored, and the instability risk level is divided into low instability risk, medium instability risk and high instability risk; determine the initial allocation ratio of the adjustment weight based on the instability risk level; and adjust the initial allocation ratio according to the displacement difference and stress difference to obtain the preliminary adjustment weight.

[0171] In some embodiments, the acquisition unit 201 is further configured to perform layered acquisition of key stress measurement points and non-key stress measurement points of the structure to be monitored, and acquire tilt angle data. The key stress measurement points are preset measurement points where the stress is concentrated during the jacking process of the structure to be monitored. The processing unit is further configured to: associate and integrate the tilt angle data with the multi-dimensional monitoring data stream, and add measurement point layering identifiers to obtain an updated multi-dimensional monitoring data stream; based on the updated multi-dimensional monitoring data stream, extract the tilt angle data of the key stress measurement points, optimize and correct the preliminary adjustment weights according to the tilt angle data of the key stress measurement points, generate target adjustment weights, and apply the target adjustment weights to adjust the hydraulic pressure.

[0172] In some embodiments, the acquisition unit 201 is specifically used to: acquire first tilt angle data from key force measurement points using tilt sensors, and acquire second tilt angle data from non-key force measurement points; perform error correction on the first tilt angle data to obtain effective tilt angle data, wherein the error correction is to eliminate measurement errors caused by environmental vibration interference through a multi-axis data fusion algorithm; and integrate the effective tilt angle data and the second tilt angle data to obtain tilt angle data.

[0173] In the jacking construction monitoring device provided in this application embodiment, multiple measuring points are preset according to the mechanically weak parts and key jacking points for synchronous acquisition, ensuring the comprehensiveness and representativeness of the monitoring data; then, the multi-source data is timestamped and integrated to form a multi-dimensional monitoring data stream, ensuring the spatiotemporal consistency and real-time performance of data processing; then, the displacement difference and stress difference are calculated to quantify the deviation between the current state and the target state; finally, a weight allocation positively correlated with the oil pressure adjustment is generated based on the difference, realizing precise coordinated control of each jack, thereby effectively reducing the synchronization error and stress error in the jacking construction process and reducing the probability of local instability of the building surface due to uneven stress.

[0174] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0175] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of this application. Figure 3 As shown, the electronic device 300 includes, but is not limited to, a processor 301 and a memory 302.

[0176] The aforementioned memory 302 is used to store the executable instructions of the aforementioned processor 301. It is understood that the aforementioned processor 301 is configured to execute instructions to implement the jacking construction monitoring method in the above embodiments.

[0177] It should be noted that those skilled in the art will understand that Figure 3 The electronic device structure shown does not constitute a limitation on the electronic device; the electronic device may include, but is not limited to, other electronic devices. Figure 3 This may indicate more or fewer components, or combinations of certain components, or different component arrangements.

[0178] Processor 301 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in memory 302, and by calling data stored in memory 302, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. Processor 301 may include one or more processing units. Optionally, processor 301 may integrate an application processor and a modem processor. The application processor mainly handles the operating system, user interface, and applications, while the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into processor 301.

[0179] The memory 302 can be used to store software programs and various data. The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store the operating system, application programs required by at least one functional module (such as a determination unit, a processing unit, etc.), etc. In addition, the memory 302 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0180] In an exemplary embodiment, a computer-readable storage medium including instructions is also provided, such as a memory 302 including instructions, which can be executed by a processor 301 of an electronic device 300 to implement the jacking construction monitoring method in the above embodiments.

[0181] In actual implementation, Figure 2 The steps performed by the acquisition unit 201, generation unit 202, calculation unit 203, and processing unit 204 can all be performed by... Figure 3 The processor 301 calls the computer program stored in the memory 302 to implement the process. The specific execution process can be found in the method section of the previous embodiment, and will not be repeated here.

[0182] Optionally, the computer-readable storage medium may be a non-transitory computer-readable storage medium, such as a read-only memory (ROM), random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.

[0183] In an exemplary embodiment, this application also provides a computer program product including one or more instructions, which can be executed by the processor 301 of an electronic device to complete the jacking construction monitoring method in the above embodiments.

[0184] It should be noted that when one or more instructions in the computer-readable storage medium or computer program product are executed by the processor of an electronic device, they implement the various processes of the above method embodiments and achieve the same technical effect as the above method. To avoid repetition, they will not be described again here.

[0185] Through the above description of the embodiments, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0186] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another apparatus, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0187] The units described as separate components may or may not be physically separate. A component shown as a unit can be one or more physical units; that is, it can be located in one place or distributed in multiple different locations. Some or all of the classified units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0188] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0189] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of this application, essentially, or the part that contributes to the prior art, or a complete or partial classification of the technical solution, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0190] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for monitoring jacking construction, characterized in that, The method includes: Multiple measuring points are simultaneously collected on the structure to be monitored during the jacking construction to obtain the actual jacking displacement and actual structural stress. The multiple measuring points are preset collection points based on the mechanically weak parts of the structure to be monitored and the key jacking points. The actual jacking displacement and actual structural stress at each measuring point are time-stamped and integrated to generate a multi-dimensional monitoring data stream, which carries the measuring point identifier and acquisition time. Based on the multi-dimensional monitoring data stream, the displacement difference between the actual jacking displacement and the preset target displacement at each measuring point, and the stress difference between the actual structural stress and the preset safety stress are calculated respectively. Based on the displacement difference and the stress difference, preliminary adjustment weights are generated in conjunction with construction safety requirements. The hydraulic pressure adjustment of the jacking jacks is then allocated according to these preliminary adjustment weights so that the synchronous error of the jacking displacement and the structural stress error at each measuring point are within the preset safety threshold range. The weight ratio is positively correlated with the hydraulic pressure adjustment.

2. The jacking construction monitoring method according to claim 1, characterized in that, The method of simultaneously collecting data from multiple measuring points on the structure to be monitored during the jacking construction to obtain the actual jacking displacement and actual structural stress includes: Displacement data were obtained by measuring each measuring point of the structure to be monitored using a laser rangefinder; Stress data were obtained by measuring each measuring point of the structure to be monitored using strain gauge sensors; The displacement data and the stress data are transmitted to the data acquisition module for noise removal and data format standardization to obtain the actual lifting displacement and the actual structural stress.

3. The jacking construction monitoring method according to claim 1, characterized in that, The allocation of hydraulic pressure adjustment for the lifting jacks according to the preliminary adjustment weights includes: Based on the preliminary adjustment weights, the displacement difference, and the stress difference, the priority order of displacement control and stress control is determined, with the weight percentage being positively correlated with the priority. Based on the priority order and the multi-dimensional monitoring data stream, it is determined whether the high-priority parameter is greater than its process control threshold. The high-priority parameter is the displacement difference or the stress difference. The process control threshold is the pre-intervention threshold of the preset safety threshold. If the high-priority parameter is greater than its process control threshold, the oil pressure adjustment amount is allocated according to the weight ratio of the initial adjustment weight, so that the high-priority parameter is less than or equal to its process control threshold.

4. The jacking construction monitoring method according to claim 3, characterized in that, The method further includes: Based on the allocated hydraulic pressure of the jack, the displacement difference, and the stress difference, the calibration reference conditions for the hydraulic pressure of the jack are set, and the reference conditions include a fixed time interval and / or a hydraulic pressure fluctuation threshold. If the hydraulic pressure of the jack meets the reference condition, a hydraulic pressure calibration command is triggered. According to the hydraulic pressure calibration command, adjust the hydraulic pressure output until the displacement difference and the stress difference are both less than or equal to their respective process control thresholds.

5. The jacking construction monitoring method according to claim 3, characterized in that, The preliminary adjustment weights generated based on the displacement difference and the stress difference, combined with construction safety requirements, include: Based on the displacement difference, the overall synchronization deviation of the structure to be monitored is calculated, and based on the stress difference, the stress concentration area and the degree of exceeding the limit of the structure to be monitored are identified. The stress concentration area is the area where the actual structural stress is greater than its process control threshold. The overall synchronization deviation, the stress concentration area, and the degree of exceeding the limit are input into the risk assessment model, and the instability risk level is output. The risk assessment model is a model constructed based on the mechanical analysis logic of the structure to be monitored. The instability risk level is divided into low instability risk, medium instability risk, and high instability risk. Based on the aforementioned instability risk level, the initial allocation ratio of the adjustment weights is determined; The initial allocation ratio is adjusted based on the displacement difference and the stress difference to obtain the preliminary adjustment weight.

6. The jacking construction monitoring method according to claim 1, characterized in that, The method further includes: The key and non-key force measurement points of the structure to be monitored are collected in layers to obtain tilt angle data. The key force measurement points are the preset measurement points where the force is concentrated during the jacking process of the structure to be monitored. The tilt angle data is associated and integrated with the multi-dimensional monitoring data stream, and a layered identifier for the measuring points is added to obtain the updated multi-dimensional monitoring data stream. Based on the updated multi-dimensional monitoring data stream, the tilt angle data of the key force measurement points are extracted; The initial adjustment weights are optimized and corrected based on the tilt angle data of the key force measurement points to generate target adjustment weights, and the target adjustment weights are applied to adjust the oil pressure.

7. The jacking construction monitoring method according to claim 6, characterized in that, The process of collecting tilt angle data by layering key and non-key stress measurement points of the structure under monitoring includes: A tilt angle sensor is used to collect first tilt angle data from the key force measurement points and second tilt angle data from the non-key force measurement points; The first tilt angle data is corrected for error to obtain effective tilt angle data. The error correction is to eliminate measurement errors caused by environmental vibration interference through a multi-axis data fusion algorithm. The effective tilt angle data and the second tilt angle data are integrated to obtain the tilt angle data.

8. A jacking construction monitoring device, characterized in that, The device includes: The acquisition unit is used to simultaneously collect data from multiple measuring points on the structure to be monitored during the jacking construction, and to acquire the actual jacking displacement and actual structural stress. The multiple measuring points are preset collection points based on the mechanically weak parts of the structure to be monitored and the key jacking points. The generation unit is used to perform time-stamp association and integration of the actual jacking displacement and the actual structural stress at each measuring point to generate a multi-dimensional monitoring data stream, which carries the measuring point identifier and the acquisition time. The calculation unit is used to calculate the displacement difference between the actual lifting displacement and the preset target displacement at each measuring point, and the stress difference between the actual structural stress and the preset safety stress, based on the multi-dimensional monitoring data stream. The generation unit is also used to generate preliminary adjustment weights based on the displacement difference and the stress difference, combined with construction safety requirements; The processing unit is used to allocate the hydraulic pressure adjustment amount of the lifting jack according to the preliminary adjustment weight, so that the synchronous error of the lifting displacement and the structural stress error of each measuring point are within the preset safety threshold range, and the weight ratio is positively correlated with the hydraulic pressure adjustment amount.

9. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the jacking construction monitoring method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing instructions, characterized in that, When the computer executes the instruction, the computer performs the jacking construction monitoring method as described in any one of claims 1 to 7.

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