Temporary steel beam operation state monitoring method

Abstract

The invention discloses a temporary steel beam operation state monitoring method, which comprises the following steps of: arranging a sensing assembly aiming at a temporary steel beam to obtain temporary steel beam data of a plurality of measuring points; according to a preset acquisition mode and a preset acquisition frequency, acquiring the temporary steel beam data of each measuring point acquired by the sensing assembly through an acquisition instrument; and analyzing the collected temporary steel beam data, judging the working state of each measuring point, drawing a change trend curve of the temporary steel beam data under each measuring point, and giving an alarm for the abnormal condition of each measuring point. By means of the method, automatic and high-precision monitoring and early warning work of the key parameters of the operation state of the temporary steel beam can be achieved.

Description

Technical Field

[0001] The invention relates to the technical field of monitoring the operating status of temporary beams in steel structure construction, and more particularly to a method for monitoring the operating status of temporary beams in steel structure construction. Background Art

[0002] At present, existing railway lines often encounter the construction needs of passing under culverts. In order to ensure that the traffic above is not interrupted during the construction process and to ensure the operation of the railway bureau, the construction unit usually uses steel structure temporary beams as line reinforcement devices during the construction process to prevent the railway line from experiencing roadbed settlement during the construction process, ensure the stability of the line above, and allow the railway line to remain open during the construction process.

[0003] As a temporary construction facility, the construction beam is assembled on site using steel structural components, and its structural rigidity is lower than that of conventional permanent bridges. In order to ensure the stability of the beam and the line and ensure driving safety, the construction unit must conduct 24-hour uninterrupted measurement and monitoring during the entire underpass construction process, and the monitoring work may last for weeks or even months. The measurement content covers the settlement and displacement of the support, the track spacing of the beam line, and whether the K-type fastener fastening bolts are loose.

[0004] At present, the monitoring of temporary beams and line status is mainly achieved by traditional construction tools combined with manual inspection. Targets are set on the top of temporary beams and measured every 2 hours, 24 hours a day. The track spacing is measured manually using a rail ruler, and the fastener bolts are hammered with a soft hammer to determine. This method not only consumes a lot of manpower and material resources, but also the measurement precision and accuracy will fluctuate to a certain extent due to the professional and technical level of the operator.

[0005] Therefore, how to realize the automation, high-precision monitoring and early warning of key parameters of the steel temporary beam operation status is a problem that technical personnel in this field need to solve urgently. Summary of the invention

[0006] In view of the above problems, the present invention provides a method for monitoring the operating status of a steel temporary beam to at least solve some of the technical problems mentioned in the above background technology.

[0007] In order to achieve the above object, the present invention adopts the following technical solution:

[0008] The present invention provides a method for monitoring the operation status of a steel temporary beam, comprising the following steps:

[0009] Sensor components are deployed on steel beams to obtain steel beam data at multiple measuring points;

[0010] According to a preset acquisition mode and a preset acquisition frequency, the steel beam data of each measuring point acquired by the sensor component is collected by the acquisition instrument;

[0011] Analyze the collected steel beam data, determine the working status of each measuring point, draw the trend curve of the steel beam data at each measuring point, and alarm for abnormal conditions at each measuring point.

[0012] Furthermore, the sensing assembly includes a hydraulic level, a low-frequency vibration sensor, a steel beam strain gauge and a wheel-rail force strain gauge.

[0013] Furthermore, sensor components are arranged for the steel beams to obtain the steel beam data at multiple measuring points; specifically, the following steps are included:

[0014] The hydraulic level is placed at the steel beam support, and the overall settlement of the steel beam support is measured according to the change of hydraulic pressure difference;

[0015] The low-frequency vibration sensor is arranged at the mid-span position of the longitudinal beam of the steel temporary beam, and the measuring direction of the low-frequency vibration sensor is horizontally perpendicular to the length direction of the steel temporary beam body, so as to measure the lateral amplitude of the steel temporary beam body when the train passes;

[0016] The steel beam strain gauge is arranged in the middle of the width of the upper flange of the steel temporary beam longitudinal beam, and the length direction of the steel beam strain gauge is consistent with the length direction of the steel temporary beam longitudinal beam, which is used to measure the stress of the steel temporary beam body;

[0017] Wheel-rail force strain gauges are placed on the rails on both sides of the mid-span of the steel temporary beam to measure track stress.

[0018] Furthermore, the low-frequency vibration sensor adopts a dynamic reciprocating vibration pickup.

[0019] Furthermore, the data of the steel beam at each measuring point acquired by the sensor component is collected by a collection instrument according to a preset collection mode and a preset collection frequency; specifically including:

[0020] According to the continuous collection mode and the preset collection interval, the overall settlement value of the steel temporary beam support obtained by the hydraulic level is collected by the collection instrument;

[0021] According to the trigger acquisition mode, the lateral amplitude of the steel beam body obtained by the low-frequency vibration sensor and the stress of the steel beam body obtained by the steel beam strain gauge are collected by the acquisition instrument, and the acquisition frequency is 10 to 20 Hz;

[0022] According to the trigger acquisition mode, the track stress obtained by the wheel-rail force strain gauge is acquired by the acquisition instrument, and the acquisition frequency is 4000-5000 Hz.

[0023] Furthermore, the trigger collection mode is to collect data only when a train passes by the steel temporary beam.

[0024] Furthermore, the trigger acquisition mode adopts a hardware trigger mode or a software trigger mode;

[0025] The hardware trigger mode is to set a magnetic sensor on the inner side of the two rails of the steel beam. When the wheel hub of the train passes, the magnetic sensor sends a signal to the acquisition instrument; at this time, the acquisition instrument uses the time when the signal is received as the time base point, and saves the collection data in the preset time period before and after the time base point;

[0026] The software trigger mode is to set a corresponding threshold value for the low-frequency vibration sensor, steel beam strain gauge or wheel-rail force strain gauge; when the steel beam data acquired by the low-frequency vibration sensor, steel beam strain gauge or wheel-rail force strain gauge reaches the threshold value, the acquisition instrument takes the moment of triggering the threshold value as the time base point, and saves all the acquired data within a preset time period before and after the time base point.

[0027] Furthermore, the collection instrument adopts a network distributed collection instrument.

[0028] Furthermore, the working status of each measuring point is determined based on the following criteria:

[0029] (1) If there is a data channel between the measuring point and the data acquisition instrument, and no data is transmitted within a first preset time period, it is determined that the no data input time is too long and the data channel corresponding to the measuring point is abnormal;

[0030] (2) If within the third preset time period, there is a measurement point data that exceeds the preset abnormal limit range, and the cumulative time of exceeding the preset abnormal limit range exceeds the second preset time period, it is determined that the data channel state corresponding to the measurement point is abnormal.

[0031] Furthermore, the alarm is issued for the abnormal situation of each measuring point, and the corresponding alarm content includes:

[0032] (1) If the data of a measuring point exceeds the preset normal value range but is still within the preset specification limit range, a first-level alarm will be issued for the measuring point, and the alarm time and corresponding alarm channel will be recorded; if it exceeds the limit multiple times, the number of alarms will be accumulated;

[0033] (2) If the data of a measuring point exceeds the preset specification limit range, but is still within the preset abnormal limit range, a second-level alarm will be issued for the measuring point, and the alarm time and corresponding alarm channel will be recorded; if it exceeds the limit multiple times, the number of alarms will be accumulated;

[0034] (3) If the data of a measuring point exceeds the preset abnormal limit range, but the cumulative time of exceeding the preset abnormal limit range within the third preset time length does not exceed the second preset time length, a second level alarm is issued for the measuring point;

[0035] (4) If the data of a measuring point exceeds the preset abnormal limit range, but the cumulative time of exceeding the preset abnormal limit range during the third preset time period exceeds the second preset time period, a third level alarm is issued for the measuring point.

[0036] It can be seen from the above technical solutions that, compared with the prior art, the present invention discloses a method for monitoring the operation status of a steel temporary beam, which has the following beneficial effects:

[0037] The present invention is based on the performance problems that may occur in steel structure temporary beams in underpass projects, including the support settlement problem that may be caused by underpasses, the vehicle swaying problem caused by insufficient structural rigidity, etc., and obtains steel temporary beam data through sensor components to achieve automated, high-precision monitoring and early warning of key parameters of the steel temporary beam operation status. This helps to fill the gap in high-precision automated monitoring equipment in the construction process of steel temporary beams in the current market, can significantly reduce the manpower consumed in monitoring the status of steel temporary beams and lines at the construction site, and reduce the adverse effects caused by manual measurement errors.

[0038] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0040] Figure 1 A schematic flow chart of a method for monitoring the operating status of a steel temporary beam provided in an embodiment of the present invention.

[0041] Figure 2 A schematic diagram of the distribution of sensor components provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] The embodiment of the present invention discloses a method for monitoring the operation status of a steel temporary beam, see Figure 1 As shown, the following steps are included:

[0044] S1. Arrange sensor components for steel beams to obtain steel beam data at multiple measuring points;

[0045] S2. According to a preset acquisition mode and a preset acquisition frequency, the data of the steel beam at each measuring point acquired by the sensor component is collected by the acquisition instrument;

[0046] S3. Analyze the collected steel beam data, determine the working status of each measuring point, draw a trend curve of the steel beam data at each measuring point, and alarm for abnormal conditions at each measuring point.

[0047] The above-mentioned marks S1-S3 are only for the convenience of subsequent description and do not limit the execution order of each step.

[0048] In the above step S1, a sensor component is arranged for the steel beam to obtain the steel beam data at multiple measuring points; wherein the sensor component includes a hydraulic level 1, a low-frequency vibration sensor 2, a steel beam strain gauge 3 and a wheel-rail force strain gauge 4, which correspond to different measuring points respectively; in the specific use process, please refer to Figure 2 As shown;

[0049] (1) The hydraulic level 1 is placed at the position of the steel beam support, and the overall settlement value of the steel beam support is measured according to the change of hydraulic pressure difference;

[0050] (2) The low-frequency vibration sensor 2 is arranged at the mid-span position of the longitudinal beam of the steel beam, and the measurement direction of the low-frequency vibration sensor 2 is horizontally perpendicular to the length direction of the steel beam body, so as to measure the lateral amplitude of the steel beam body when the train passes; the low-frequency vibration sensor adopts a dynamic reciprocating vibration pickup, and calculates the amplitude based on the differential equation of reciprocating pendulum motion;

[0051] (3) The steel beam strain gauge 3 is arranged in the middle of the width of the upper flange of the steel beam longitudinal beam, and the length direction of the steel beam strain gauge is consistent with the length direction of the steel beam longitudinal beam, so as to measure the stress of the steel beam body; specifically, the elongation can be converted into the strain value, and then converted into the beam body stress;

[0052] (4) The wheel-rail force strain gauge 4 is arranged on the rails on both sides of the mid-span of the steel temporary beam to measure the track stress. Specifically, the wheel-rail force strain gauge 4 is arranged in accordance with the requirements of the Ground Test Method for Wheel-Rail Transverse and Vertical Forces (TB / T 2489-2016), and the wheel-rail force strain gauge 4 is arranged on the rails on both sides of the mid-span of the beam. A high-performance strain coordinator is used to form a corresponding bridge circuit for the wheel-rail force strain gauge 4 in accordance with the requirements of TB / T 2489-2016, and finally a voltage signal is output, which is received by the acquisition system to measure the track stress and convert the track derailment coefficient and load reduction rate.

[0053] In the above step S2, the steel beam data of each measuring point acquired by the sensor component is collected by the collection instrument according to the preset collection mode and the preset collection frequency;

[0054] In the embodiment of the invention, different collection modes and collection frequencies are used to collect different steel temporary beam data; specifically, the following are included:

[0055] (1) According to the continuous collection mode and the preset collection interval (for example, once every 10 minutes), the overall settlement value of the steel temporary beam support obtained by the hydraulic level is collected by the collection instrument;

[0056] (2) In the trigger acquisition mode, the lateral amplitude of the steel beam obtained by the low-frequency vibration sensor and the stress of the steel beam obtained by the steel beam strain gauge are acquired by the acquisition instrument, and the acquisition frequency is 10 to 20 Hz;

[0057] (3) According to the trigger acquisition mode, the track stress obtained by the wheel-rail force strain gauge is acquired by the acquisition instrument, and the acquisition frequency is 4000-5000 Hz.

[0058] The above trigger acquisition mode is to collect data only when a train passes by the steel beam; the trigger acquisition mode can adopt hardware trigger mode or software trigger mode; it can effectively save data storage space; among which:

[0059] (1) Hardware trigger mode, that is, a magnetic sensor is set on the inner side of the two rails of the steel beam. When the train wheel hub passes, the magnetic sensor sends a signal to the acquisition instrument; at this time, the acquisition instrument uses the time when the signal is received as the time base point t0, and saves the collected data within the preset time period t1 before and after the time base point t0;

[0060] (2) Software trigger mode, i.e. setting corresponding thresholds for low-frequency vibration sensors, steel beam strain gauges or wheel-rail force strain gauges; when the steel beam data acquired by the low-frequency vibration sensors, steel beam strain gauges or wheel-rail force strain gauges reaches the threshold, the acquisition instrument takes the moment of triggering the threshold as the time base point t0, and saves all the acquired data within the preset time period t1 before and after the time base point t0;

[0061] Taking the stress of the steel temporary beam collected by the steel beam strain gauge as an example, the stress of the steel temporary beam is 0MPa under normal conditions. The stress value is estimated to reach 80MPa when the train passes, and the trigger value x1=20MPa can be set; when the measured stress of the steel temporary beam reaches 20MPa, the collector will use this moment as the time base point t0, and the collector will save all the collected data before and after the base point t1 time.

[0062] In the embodiment of the present invention, the acquisition instrument adopts a network distributed acquisition instrument, adopts an Ethernet interface, can realize the coordinated control of multiple instruments through the LAN local area network, and has a built-in embedded system, which can realize offline automatic data acquisition. The highest acquisition frequency is above 5KHz, which ensures the frequency requirements of wheel-rail force measurement. The acquisition instrument collects the data collected by the sensor component by wired or wireless means, and transmits it to the data analysis and processing platform through the data interface for analysis.

[0063] In the above step S3, the collected steel beam data is analyzed to determine the working status of each measuring point, a trend curve of the steel beam data at each measuring point is drawn, and an alarm is issued for abnormal conditions at each measuring point.

[0064] 1. Determine the working status of each measuring point. The corresponding judgment basis includes:

[0065] (1) If there is a data channel between the measuring point and the data acquisition instrument, and no data is transmitted within the first preset time length tn1, it is judged that the time without data input is too long, and the state of the data channel corresponding to the measuring point is abnormal;

[0066] (2) Assume that the preset normal value range of the overall settlement of the steel temporary beam support, the lateral amplitude of the steel temporary beam body, the stress of the steel temporary beam body and the track stress is [a01, a11] ~ [a04, a14], the preset standard limit range is [b01, b11] ~ [b04, b14], and the preset abnormal limit range is [c01, c11] ~ [c04, c14]; if within the third preset time length tn3, there is a measuring point data that exceeds the preset abnormal limit range, and the cumulative time that exceeds the preset abnormal limit range exceeds the second preset time length tn2, then it is judged that the data channel state corresponding to the measuring point is abnormal.

[0067] 2. Draw the trend curve of the steel beam data at each measuring point, including:

[0068] (1) Trend line drawing: select the time range through the software operation window, and the platform train data change trend curve within the time range;

[0069] (2) Extreme value selection: After selecting a time range, you can extract the maximum or minimum value within that time range.

[0070] 3. Alarm for abnormal conditions at each measuring point. The corresponding alarm contents include:

[0071] (1) If the data of a measuring point exceeds the preset normal value range but is still within the preset specification limit range, a first-level alarm will be issued for the measuring point, and the alarm time and corresponding alarm channel will be recorded; if it exceeds the limit multiple times, the number of alarms will be accumulated;

[0072] (2) If the data of a measuring point exceeds the preset specification limit range, but is still within the preset abnormal limit range, a second-level alarm will be issued for the measuring point, and the alarm time and corresponding alarm channel will be recorded; if it exceeds the limit multiple times, the number of alarms will be accumulated;

[0073] (3) If the data of a measuring point exceeds the preset abnormal limit range, but the cumulative time of exceeding the preset abnormal limit range within the third preset time length tn3 does not exceed the second preset time length tn2, a second level alarm is issued for the measuring point;

[0074] (4) If the data of a measuring point exceeds the preset abnormal limit range, but within the third preset time length tn3, the cumulative time exceeding the preset abnormal limit range exceeds the second preset time length tn2, a third level alarm is issued for the measuring point.

[0075] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the embodiments can be referred to each other. The above description of the disclosed embodiments enables professionals and technicians in this field to implement or use the present invention. Various modifications to these embodiments will be obvious to professionals and technicians in this field, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown in this article, but will comply with the widest range consistent with the principles and novel features disclosed herein.

Claims

1. A method for monitoring the operation status of a steel temporary beam, characterized in that: The steps include: Sensor components are deployed on steel beams to obtain steel beam data at multiple measuring points; According to a preset acquisition mode and a preset acquisition frequency, the steel beam data of each measuring point acquired by the sensor component is collected by the acquisition instrument; Analyze the collected steel beam data, determine the working status of each measuring point, draw the trend curve of the steel beam data at each measuring point, and alarm for abnormal conditions at each measuring point.

2. A method for monitoring the operation status of a steel temporary beam according to claim 1, characterized in that: The sensing assembly includes a hydraulic level, a low-frequency vibration sensor, a steel beam strain gauge and a wheel-rail force strain gauge.

3. A method for monitoring the operation status of a steel temporary beam according to claim 2, characterized in that: Sensor components are arranged for steel beams to obtain data of steel beams at multiple measuring points; specifically, The hydraulic level is placed at the steel beam support, and the overall settlement of the steel beam support is measured according to the change of hydraulic pressure difference; The low-frequency vibration sensor is arranged at the mid-span position of the longitudinal beam of the steel temporary beam, and the measuring direction of the low-frequency vibration sensor is horizontally perpendicular to the length direction of the steel temporary beam body, so as to measure the lateral amplitude of the steel temporary beam body when the train passes; The steel beam strain gauge is arranged in the middle of the width of the upper flange of the steel temporary beam longitudinal beam, and the length direction of the steel beam strain gauge is consistent with the length direction of the steel temporary beam longitudinal beam, which is used to measure the stress of the steel temporary beam body; Wheel-rail force strain gauges are placed on the rails on both sides of the mid-span of the steel temporary beam to measure track stress.

4. A method for monitoring the operation status of a steel temporary beam according to claim 3, characterized in that: The low-frequency vibration sensor adopts a moving coil reciprocating vibration pickup.

5. The method for monitoring the operation status of a steel temporary beam according to claim 3, characterized in that: The method of collecting the steel beam data of each measuring point obtained by the sensor component through a collection instrument according to a preset collection mode and a preset collection frequency specifically includes: According to the continuous collection mode and the preset collection interval, the overall settlement value of the steel temporary beam support obtained by the hydraulic level is collected by the collection instrument; According to the trigger acquisition mode, the lateral amplitude of the steel beam body obtained by the low-frequency vibration sensor and the stress of the steel beam body obtained by the steel beam strain gauge are collected by the acquisition instrument, and the acquisition frequency is 10 to 20 Hz; According to the trigger acquisition mode, the track stress obtained by the wheel-rail force strain gauge is acquired by the acquisition instrument, and the acquisition frequency is 4000-5000 Hz.

6. A method for monitoring the operation status of a steel temporary beam according to claim 5, characterized in that: The trigger collection mode is to collect data only when a train passes by the steel beam.

7. A method for monitoring the operation status of a steel temporary beam according to claim 6, characterized in that: The trigger acquisition mode adopts a hardware trigger mode or a software trigger mode; The hardware trigger mode is to set a magnetic sensor on the inner side of the two rails of the steel beam. When the wheel hub of the train passes, the magnetic sensor sends a signal to the acquisition instrument; at this time, the acquisition instrument uses the time when the signal is received as the time base point, and saves the collection data in the preset time period before and after the time base point; The software trigger mode is to set a corresponding threshold value for the low-frequency vibration sensor, steel beam strain gauge or wheel-rail force strain gauge; when the steel beam data acquired by the low-frequency vibration sensor, steel beam strain gauge or wheel-rail force strain gauge reaches the threshold value, the acquisition instrument takes the moment of triggering the threshold value as the time base point, and saves all the acquired data within a preset time period before and after the time base point.

8. A method for monitoring the operation status of a steel temporary beam according to claim 5, characterized in that: The collection instrument adopts a network distributed collection instrument.

9. A method for monitoring the operation status of a steel temporary beam according to claim 1, characterized in that: The working status of each measuring point is determined by: (1) If there is a data channel between the measuring point and the data acquisition instrument, and no data is transmitted within a first preset time period, it is determined that the no data input time is too long and the data channel corresponding to the measuring point is abnormal; (2) If within the third preset time period, there is a measurement point data that exceeds the preset abnormal limit range, and the cumulative time of exceeding the preset abnormal limit range exceeds the second preset time period, it is determined that the data channel state corresponding to the measurement point is abnormal.

10. A method for monitoring the operation status of a steel temporary beam according to claim 9, characterized in that: The alarm is given for abnormal conditions at each measuring point, and the corresponding alarm content includes: (1) If the data of a measuring point exceeds the preset normal value range but is still within the preset specification limit range, a first-level alarm will be issued for the measuring point, and the alarm time and corresponding alarm channel will be recorded; if it exceeds the limit multiple times, the number of alarms will be accumulated; (2) If the data of a measuring point exceeds the preset specification limit range, but is still within the preset abnormal limit range, a second-level alarm will be issued for the measuring point, and the alarm time and corresponding alarm channel will be recorded; if it exceeds the limit multiple times, the number of alarms will be accumulated; (3) If the data of a measuring point exceeds the preset abnormal limit range, but the cumulative time of exceeding the preset abnormal limit range within the third preset time length does not exceed the second preset time length, a second level alarm is issued for the measuring point; (4) If the data of a measuring point exceeds the preset abnormal limit range, but the cumulative time of exceeding the preset abnormal limit range during the third preset time period exceeds the second preset time period, a third level alarm is issued for the measuring point.

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