Monitoring method for short-line-method high-position slippage segmental beam

Abstract

The invention provides a monitoring method for a short-line-method high-position slippage segmental beam, and relates to the field of traffic civil engineering, and the method comprises the steps: building a finite element calculation model, analyzing the stress condition and the structural posture change condition of the segmental beam in the slippage process, installing a stress sensor and a temperature sensor at the unfavorable structural stress position of the segmental beam, and calculating the structural posture change condition of the segmental beam according to the stress sensor and the temperature sensor. Mounting an attitude sensor at a structural attitude change sensitive part of the segmental beam; a speedometer is arranged at a sliding shoe at the bottom of the segmental beam to collect sliding mileage data, and a displacement sensor is arranged between the segmental beam and a sliding rail to collect elevation data; simulating a working condition through a finite element calculation model to determine a safety range of sensor data; in the actual slippage process, first-level early warning is sent out when it is monitored that the stress data exceed the safety range, and second-level early warning is sent out when it is monitored that the attitude data, the slippage mileage data or the elevation data exceed the safety range. According to the monitoring method provided by the invention, potential safety hazards in construction can be accurately monitored, and early warning can be given out in time.

Description

Technical Field

[0001] The invention relates to the field of traffic civil engineering, and in particular to a monitoring method for a high-position sliding segment beam using a short-line method. Background Art

[0002] The short-line high-position sliding technology is mainly used for the installation of large-span spatial structures. In the context of the construction industry's continuous pursuit of large-space and complex-shaped buildings, traditional construction methods have shown many shortcomings when facing large-scale spatial structures: high reliance on large-scale lifting equipment; large amount of high-altitude operations on site; high construction safety risks; and long construction period. In order to overcome these problems, the short-line high-position sliding technology came into being. This technology can assemble unit components on the ground or on a working platform close to the ground, and then gradually slide the assembled structural units to the designed position through a specific sliding device, which can effectively reduce the amount of high-altitude operations, improve construction efficiency, and reduce the requirements for lifting equipment. In the process of realizing the present invention, the applicant found that the high-position sliding technology has high requirements for the flatness of the slide rail, but the bracket of the high-position sliding is high, which is greatly affected by temperature deformation, the sliding and beam storage time is long, and the risk of bracket foundation settlement is high. As the number of stored beams continues to increase, the elastic deformation of the slide rail is also continuously accumulated, so the posture control of the component during the sliding process is very important. The traditional high-position sliding construction process monitoring scheme has many defects. The lag in monitoring often leads to untimely adjustment of construction parameters; too few monitoring points lead to unclear judgment of structural deformation; because the main beam is supported by only a few fulcrums during the sliding construction process, local deformation of the bracket may cause a large change in the support reaction force at the sliding shoe, which may cause unfavorable structural force, local cracking, and even structural overturning. Therefore, how to continuously and effectively monitor the entire sliding construction process is particularly important. The traditional monitoring method has the following adverse effects: first, the construction monitoring is discontinuous and the real-time sliding status cannot be obtained in time; second, the construction monitoring relies on manual labor, and the errors of manual monitoring cannot be effectively eliminated; third, during the sliding construction process, the surveyors cannot climb onto the beam body, cannot effectively test the structural displacement and track displacement, and cannot timely determine where the structure has problems; fourth, there are a large number of sliding beams, which consumes a huge amount of manpower and equipment, which is very uneconomical. Based on the above reasons, during the high-position sliding construction process, it is particularly important to complete the construction monitoring of the entire sliding process of each segment beam, which is an important task to ensure the safety of sliding construction and the stability of the structure. Therefore, how to accurately warn of the risk status of segmental beams during sliding construction becomes a technical problem that needs to be solved. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art or related technology, and discloses a monitoring method for high-position sliding segmental beams using the short-line method, which improves the monitoring accuracy of the segmental beam sliding construction process and reduces construction risks.

[0004] The first aspect of the present invention discloses a monitoring method for high-position sliding segmental beams using the short-line method, comprising: constructing a finite element calculation model, analyzing the stress conditions and structural posture changes of the segmental beams during the sliding process to obtain the unfavorable structural stress positions and sensitive positions of structural posture changes of the segmental beams; installing stress sensors and temperature sensors at the unfavorable structural stress positions of the segmental beams, and installing posture sensors at the sensitive positions of the structural posture changes of the segmental beams to collect posture data, structural temperature data, and stress data of the cross-section of the segmental beams during the sliding process; setting an odometer at the sliding shoe at the bottom of the segmental beam to collect sliding mileage data at multiple points, and installing a posture sensor at the sensitive positions of the structural posture changes of the segmental beams to collect posture data, structural temperature data, and stress data of the cross-section of the segmental beams during the sliding process; and setting an odometer at the sliding shoe at the bottom of the segmental beam to collect sliding mileage data at multiple points. Displacement sensors are set between the beam and the slide rail to collect elevation data at multiple points; according to the working conditions that will be encountered during the sliding process of the segmental beam, a combination of simulated working conditions is performed, and the influence of structural heating and cooling, segmental beam posture changes, sliding mileage differences between sliding shoes, and changes in segmental beam elevation data on the state of the segmental beam is simulated through a finite element calculation model; based on the calculation results of the simulated working conditions, the safety range of stress data, posture data, sliding mileage data, and elevation data is determined; in the actual sliding process, if the stress data is monitored to exceed the safety range, a first-level warning is issued, and if the posture data, sliding mileage data, or elevation data is monitored to exceed the safety range, a second-level warning is issued.

[0005] In this technical solution, by real-time monitoring of the sliding mileage difference between the left and right rails of the beam (sliding shoe synchronization), the accumulated displacement difference of the piston stroke of the sliding rail jacks on both sides is corrected and adjusted; by real-time monitoring of the elevation change of each sliding shoe position of the beam, the height change of each sliding rail at different positions is used to warn and adjust, and the defects of the local flatness of the sliding rail are corrected; by setting the attitude sensor (inclinometer) on the top surface of the beam, the sliding attitude and rotation amplitude of the beam can be monitored in real time, and the overturning risk of the beam can be warned; by setting the stress sensor on the key section of the sliding beam, the incremental change of the concrete stress amplitude during the sliding process of the beam can be monitored in real time, and the cracking risk of the beam can be warned. Through the use of the method of the present invention, the warning threshold of the mileage difference and the warning threshold of the elevation change can be preset in advance, and real-time warning can be achieved through automatic warning to reduce construction risks.

[0006] According to the monitoring method for high-position sliding segment beams using the short-line method disclosed in the present invention, preferably, the attitude sensor is a three-axis inclination sensor for testing the inclination change of the flange plate end section; the temperature sensor is a platinum thermistor for testing the actual temperature field distribution of the structure, and the temperature sensor is installed near the stress sensor; the stress sensor is a resistive full-bridge sensor for testing the stress state of a section sensitive to structural stress changes.

[0007] According to the monitoring method for high-position sliding segmental beams using the short-line method disclosed in the present invention, preferably, the sensitive parts of the structural posture change are the four corners of the upper surface of the segmental beam, and the unfavorable structural stress position is the top section of the straight web of the segmental beam.

[0008] According to the monitoring method for high-position sliding segment beams using the short-line method disclosed in the present invention, preferably, it also includes: Each sensor is connected to the data acquisition device and data is exchanged through the Modbus RS485 communication protocol. The collected data is uploaded to the cloud server in real time through the remote data transmission device using the mobile network.

[0009] According to the monitoring method for high-position sliding segment beams using the short-line method disclosed in the present invention, preferably, it also includes: classifying and storing the collected posture data, structural temperature data, stress data, sliding mileage data and elevation data in a cloud server.

[0010] According to the monitoring method for high-position sliding segment beams using the short-line method disclosed in the present invention, preferably, it also includes: filtering the collected posture data, structural temperature data, stress data, sliding mileage data and elevation change data, and the filtering processing includes mean filtering, median filtering, Gaussian filtering or first-order low-pass filtering.

[0011] According to the monitoring method for high-position sliding segment beams using the short-line method disclosed in the present invention, preferably, it also includes: correcting the posture data, stress data, sliding mileage data and elevation change data according to the structural temperature data.

[0012] According to the monitoring method for high-position sliding segment beams using the short-line method disclosed in the present invention, preferably, it also includes: sending a first-level warning message and / or a second-level warning to a mobile terminal via a cloud server.

[0013] According to the monitoring method for high-position sliding segment beams using the short-line method disclosed in the present invention, preferably, the sliding mileage data and elevation data are collected by an odometer and a displacement sensor installed on a data collection vehicle.

[0014] According to the monitoring method for high-position sliding segmented beams using the short-line method disclosed in the present invention, preferably, the data acquisition trolley specifically includes: a trolley platform; a roller, disposed at the bottom of the trolley platform; an odometer, disposed inside the roller, for collecting the rotation angle of the roller and converting it into mileage data; a trolley vertical axis, disposed on the upper surface of the trolley platform; a beam body fixing sleeve, sleeved with the trolley vertical axis, the top of the sleeve being connected to the monitored segmented beam; a spring, sleeved with the trolley vertical axis and supporting the bottom of the beam body fixing sleeve; a displacement sensor, fixedly connected to the beam body fixing sleeve, for detecting the relative displacement between the beam body fixing sleeve and the trolley platform.

[0015] The beneficial effects of the present invention include at least: setting stress monitoring points at unfavorable stress positions of the segmental beam structure, using stress monitoring data as the main control parameter to implement the first-level early warning, and taking into account the influence of the beam posture change and the uneven distribution of the beam temperature field on the stress of the beam structure, real-time monitoring of the inclination change of the segmental beam, the mileage difference between the sliding shoes, and the beam elevation change as the secondary control parameter to implement the second-level early warning, so as to improve the accuracy and timeliness of the risk early warning; real-time monitoring of the beam state through a variety of sensors can realize the visualization of the construction process data. The sensors used to collect monitoring data and the data collection vehicle are easy to deploy and support reuse. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of the monitoring principle of a monitoring method for a high-position sliding segment beam using a short-line method according to an embodiment of the present invention is shown.

[0017] Figure 2 A schematic diagram of sensor installation positions according to an embodiment of the present invention is shown.

[0018] Figure 3 A schematic diagram of the installation position of a data acquisition vehicle according to an embodiment of the present invention is shown.

[0019] Figure 4 A schematic structural diagram of a data acquisition vehicle according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0020] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention can also be implemented in other ways different from those described herein, and therefore, the present invention is not limited to the limitations of the specific embodiments disclosed below.

[0021] like Figures 1 to 3As shown, according to one embodiment of the present invention, a monitoring method for high-position sliding segmental beams using a short-line method is disclosed, comprising: constructing a finite element calculation model, analyzing the stress conditions and structural posture changes of the segmental beams during the sliding process to obtain the unfavorable structural stress positions and sensitive parts of the structural posture changes of the segmental beams; installing stress sensors and temperature sensors at the unfavorable structural stress positions of the segmental beams, and installing posture sensors at the sensitive parts of the structural posture changes of the segmental beams to collect posture data, structural temperature data and stress data of the cross-section of the segmental beams during the sliding process; and setting an odometer at the sliding shoe at the bottom of the segmental beam to collect sliding mileage data at multiple points. Displacement sensors are set between the segmental beam and the slide rail to collect elevation data at multiple points; a combination of simulated working conditions is performed according to the working conditions that will be encountered during the sliding process of the segmental beam, and the influence of structural temperature rise and fall, segmental beam posture changes, sliding mileage differences between sliding shoes, and changes in segmental beam elevation data on the state of the segmental beam is simulated through a finite element calculation model; based on the calculation results of the simulated working conditions, the safety range of stress data, posture data, sliding mileage data, and elevation data is determined; in the actual sliding process, if the stress data is monitored to exceed the safety range, a first-level warning is issued, and if the posture data, sliding mileage data, or elevation data is monitored to exceed the safety range, a second-level warning is issued.

[0022] In this embodiment, the sliding mileage data is used to reflect the synchronization rate of the sliding shoes on the left and right sides of the segment beam during the sliding process, the elevation data is used to reflect the posture change of the segment beam in the vertical direction, the posture data is used to reflect the vertical posture of the segment beam, and the temperature data is used to perform temperature deformation correction on the monitoring data. The specific monitoring principle is as follows: Figure 1 As shown: The monitoring parameters of sliding beams (sliding segmental beams) are divided into three categories, namely, the main control parameters: stress monitoring (cracking control index), the secondary control parameters: inclination monitoring, sliding amount monitoring and elevation monitoring (structural attitude control index) and the correction parameters: temperature monitoring (temperature deformation correction). The data uploaded to the cloud are first temperature corrected, and the corrected parameters are filtered and processed respectively. The processed data are classified and stored in their respective data sets for background comparison and judgment. The theoretical and measured values ​​of the main control parameters and secondary control parameters are compared. If the main control parameter exceeds the warning value, a first-level warning is immediately issued, and the construction person in charge is notified to make on-site adjustments; if the secondary control parameter exceeds the standard, a second-level warning is issued, and the monitoring person in charge is notified to make a judgment. The monitoring person in charge judges through the triggering state of the main control parameter. If the secondary control parameter exceeds the standard and the main control parameter also exceeds the standard, a first-level warning is issued according to the main control parameter. If only the secondary control parameter exceeds the standard but the main control parameter does not exceed the standard, the monitoring person in charge will readjust the warning threshold and re-monitor the cycle.

[0023] According to the above embodiment, preferably, the attitude sensor is a three-axis inclination sensor, which is used to test the inclination change of the flange plate end section; the temperature sensor is a platinum thermistor, which is used to test the actual temperature field distribution of the structure, and the temperature sensor is installed near the stress sensor; the stress sensor is a resistive full-bridge bridge sensor, which is used to test the stress state of the sensitive section of the structural stress change.

[0024] like Figure 2 As shown, according to the above embodiment, preferably, the posture sensors are installed at the four corners of the upper surface of the segment beam, and the stress sensor is installed at the top section of the straight web on the upper side of the segment beam.

[0025] According to the above embodiment, preferably, each sensor is connected to a data acquisition device, and data is exchanged via the Modbus RS485 communication protocol. The acquired data is uploaded to the cloud server in real time via a remote data transmission device using a mobile network.

[0026] According to the above embodiment, preferably, it also includes: classifying and storing the collected posture data, structural temperature data, stress data, slip mileage data and elevation data in the cloud server.

[0027] According to the above embodiment, preferably, it also includes: filtering the collected posture data, structural temperature data, stress data, slip mileage data and elevation change data, and the filtering processing includes mean filtering, median filtering, Gaussian filtering or first-order low-pass filtering.

[0028] According to the above embodiment, preferably, it also includes: correcting the posture data, stress data, slip mileage data and elevation change data according to the structural temperature data.

[0029] According to the above embodiment, preferably, it also includes: sending a first-level warning information and / or a second-level warning to the mobile terminal through the cloud platform.

[0030] like Figure 3 As shown, according to the above embodiment, preferably, the slip mileage data and elevation data are collected by an odometer and a displacement sensor installed on a data collection vehicle.

[0031] like Figure 4As shown, according to another embodiment of the present invention, the specific structure of the data acquisition trolley is also disclosed, including: a trolley platform; a roller, arranged at the bottom of the trolley platform; an odometer, arranged inside the roller, used to collect the rotation angle of the roller and convert it into mileage data (mileage calculation is realized by accumulating the circumference of the roller and the number of rolling circles through the angle sensor); a trolley vertical axis, arranged on the upper surface of the trolley platform; a beam body fixed sleeve, which is sleeved with the trolley vertical axis, and the top of the sleeve is connected to the monitored segment beam; a spring, which is sleeved with the trolley vertical axis and supports the bottom of the beam body fixed sleeve; a displacement sensor, which is fixedly connected to the beam body fixed sleeve, and is used to detect the relative displacement between the beam body fixed sleeve and the trolley platform. The beam body fixed sleeve of the trolley is fixedly installed and fixed to the bottom of the segment beam, and the trolley roller is located on the slide rail, relying on the combination of the spring and the sleeve, coordinating the deformation between the slide rail and the main beam, and coordinating the deformation through the spring device, and recording the spring deformation in real time through the displacement sensor. The data acquisition trolley of the present invention can be repeatedly disassembled and used to cyclically monitor all sliding segment beams.

[0032] In summary, the present invention takes into account the change of the three-dimensional inclination angle of the beam top plane, collects and monitors the inclination change of the cantilever section of the segmental beam, takes into account the change of the mileage progress of the sliding shoes on both sides of the segmental beam, collects and monitors the change of the torsion posture of the beam plane, takes into account the change of the stress amplitude at the root position of the top plate cantilever section of the beam body and the change of the beam surface temperature, collects and monitors the change of the stress at the root of the cantilever of the beam body, takes into account the change of the elevation between the beam body and the slide rail at the position of the sliding shoe, collects and monitors the change of the height of the beam support position; takes into account the influence of the structural temperature change on the collected data, and corrects the above sensor data based on the temperature data. The present invention mainly determines whether the state of the beam body is risky by monitoring the increment of the stress amplitude, and secondly determines whether the state of the beam body is risky by the change of parameters such as the change of the beam body elevation and the change of the three-dimensional posture of the beam body. The present invention has the advantages of real-time transmission, automatic warning, automatic correction, comprehensive calculation, etc., can ensure the safety and stability of the segmental beam body during the high-position sliding construction process, can continuously adjust and correct the construction parameters, and ensure that the sliding construction is quickly promoted under the premise of safety and quality assurance.

[0033] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A monitoring method for high-position sliding segment beams using a short-line method, characterized in that: include: Construct a finite element calculation model to analyze the stress conditions of the segmental beam during the sliding process and the structural posture changes to obtain the unfavorable structural stress positions and sensitive parts of the structural posture changes of the segmental beam; Stress sensors and temperature sensors are installed at unfavorable locations of the segmental beam structure, and attitude sensors are installed at sensitive locations of the segmental beam structure attitude changes to collect attitude data, structural temperature data, and stress data of the segmental beam section during the sliding process; An odometer is set at the sliding shoe at the bottom of the segment beam to collect sliding mileage data at multiple points, and a displacement sensor is set between the segment beam and the slide rail to collect elevation data at multiple points; According to the working conditions that will be encountered during the sliding process of the segmental beam, the working condition combination is simulated, and the influence of structural temperature rise and fall, segmental beam posture change, sliding mileage difference between sliding shoes, and segmental beam elevation data change on the state of the segmental beam is simulated through the finite element calculation model; Determining the safety range of the stress data, the attitude data, the slip mileage data and the elevation data based on the calculation results of the simulated working condition; During the actual sliding process, if the stress data is monitored to be beyond the safety range, a first-level warning is issued; if the posture data, the sliding mileage data or the elevation data is monitored to be beyond the safety range, a second-level warning is issued.

2. The monitoring method for high-position sliding segment beams using the short-line method according to claim 1 is characterized in that: The attitude sensor is a three-axis inclination sensor, which is used to test the inclination change of the flange plate end section; the temperature sensor is a platinum thermistor, which is used to test the actual temperature field distribution of the structure; the stress sensor is a resistive full-bridge sensor, which is used to test the stress state of the sensitive section of the structural stress change.

3. The monitoring method for high-position sliding segment beams using the short-line method according to claim 1 is characterized in that: The sensitive parts of the structural posture change are the four corners of the upper surface of the segment beam, and the unfavorable stress position of the structure is the top section of the straight web of the segment beam.

4. The monitoring method for high-position sliding segment beams using the short-line method according to claim 1 is characterized in that: Also includes: Each sensor is connected to the data acquisition device and data is exchanged through the Modbus RS485 communication protocol. The collected data is uploaded to the cloud server in real time through the remote data transmission device using the mobile network.

5. The monitoring method for high-position sliding segment beams using the short-line method according to claim 1 is characterized in that: Also includes: The collected posture data, the structural temperature data, the stress data, the slip mileage data and the elevation data are classified and stored in the cloud server.

6. The monitoring method for high-position sliding segment beams using the short-line method according to claim 1 is characterized in that: Also includes: The collected attitude data, structural temperature data, stress data, slip mileage data and elevation data are filtered, and the filtering includes mean filtering, median filtering, Gaussian filtering or first-order low-pass filtering.

7. The monitoring method for high-position sliding segment beams using the short-line method according to claim 1 is characterized in that: Also includes: The posture data, the stress data, the slip mileage data and the elevation data are corrected according to the structural temperature data.

8. The monitoring method for high-position sliding segment beams using the short-line method according to claim 1 is characterized in that: Also includes: The first-level warning and / or the second-level warning are issued to the mobile terminal through the cloud server.

9. The monitoring method for high-position sliding segment beams using the short-line method according to claim 1 is characterized in that: The slip mileage data and the elevation data are collected by an odometer and a displacement sensor installed on a data collection vehicle.

10. The monitoring method for high-position sliding segment beams using the short-line method according to claim 9 is characterized in that: The data collection vehicle specifically comprises: Trolley platform; Rollers, arranged at the bottom of the trolley platform; An odometer, disposed inside the roller, for collecting the rotation angle of the roller and converting it into mileage data; The trolley vertical axis is arranged on the upper surface of the trolley platform; The beam body fixing sleeve is sleeved and matched with the vertical shaft of the trolley, and the top of the sleeve is connected to the monitored segment beam; A spring, which is sleeved with the vertical shaft of the trolley and supports the bottom of the fixing sleeve of the beam body; A displacement sensor is fixedly connected to the beam body fixing sleeve and is used to detect the relative displacement between the beam body fixing sleeve and the trolley platform.

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