CN117053972A - Mountain area large-span steel arch bridge construction whole process monitoring technology - Google Patents
Mountain area large-span steel arch bridge construction whole process monitoring technology Download PDFInfo
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- CN117053972A CN117053972A CN202311060848.9A CN202311060848A CN117053972A CN 117053972 A CN117053972 A CN 117053972A CN 202311060848 A CN202311060848 A CN 202311060848A CN 117053972 A CN117053972 A CN 117053972A
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- 238000010276 construction Methods 0.000 title claims abstract description 33
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 29
- 239000010959 steel Substances 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000012544 monitoring process Methods 0.000 title claims abstract description 25
- 230000008569 process Effects 0.000 title claims abstract description 24
- 238000005516 engineering process Methods 0.000 title claims abstract description 21
- 238000001514 detection method Methods 0.000 claims abstract description 46
- 230000005856 abnormality Effects 0.000 claims abstract description 21
- 238000013461 design Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000009434 installation Methods 0.000 claims description 27
- 238000004891 communication Methods 0.000 claims description 23
- 238000013480 data collection Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 238000009412 basement excavation Methods 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 238000011900 installation process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/04—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring tension in flexible members, e.g. ropes, cables, wires, threads, belts or bands
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01D—CONSTRUCTION OF BRIDGES, ELEVATED ROADWAYS OR VIADUCTS; ASSEMBLY OF BRIDGES
- E01D21/00—Methods or apparatus specially adapted for erecting or assembling bridges
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Bridges Or Land Bridges (AREA)
Abstract
The application relates to the technical field of bridge construction, and particularly discloses a technology for monitoring the whole construction process of a mountain large-span steel arch bridge, which comprises the following steps: s1, installing a cable force sensor on a buckling cable after the arch rib of each section is lifted; s2, acquiring cable force detection data of the cable buckling through a cable force sensor, and sending the cable force detection data to a data acquisition module; s3, the data acquisition module sends the cable force detection data to a server, the server compares the cable force detection data with the designed cable force value, judges whether an abnormality exists, and sends early warning information to the terminal if the abnormality exists; s4, after the early warning information is sent, the server receives the processing feedback information, after the processing feedback information is received, the latest cable force detection data and the design cable force value are compared and analyzed, whether the abnormality exists or not is judged, if the abnormality does not exist, the early warning is released, and the hoisting of the next section is executed. By adopting the technical scheme of the application, the construction process of the steel arch bridge can be automatically monitored, and potential safety hazards can be timely found.
Description
Technical Field
The application relates to the technical field of bridge construction, in particular to a technology for monitoring the whole process of construction of a large-span steel arch bridge in a mountain area.
Background
The large-span steel arch bridge is a bridge which is constructed by adopting steel structural materials and has large span, excellent bending rigidity and bearing capacity. The construction of the large-span steel truss arch bridge generally comprises the steps of arch foundation pit excavation, side slope protection, arch foundation construction, junction pier construction, buckling tower construction, steel arch rib installation, arch foot concrete pouring, buckling cable dismantling and buckling tower, bridge approach T beam erection, arch upper upright column installation, combined beam erection, bridge deck slab and wet joint pouring, auxiliary engineering construction and the like.
The steel arch rib installation process comprises the following steps: after the section data are inspected to be qualified, the steel arch rib sections are transported to the hoisting position and positioned, the steel arch rib sections are vertically hoisted and transported by double hoisting points, the steel arch rib sections are temporarily fixed after being positioned, buckling ropes and cable wind are installed, the buckling ropes are tensioned, the cable wind is tightened, the elevation and the axis are adjusted, the hoisting points are loosened, and the next section is installed.
In the construction process, multiple data such as butt-buckling tower deviation, main arch shape, elevation monitoring and bridge deck shape monitoring are required to be monitored, and arch rib foot section stress, main arch stress and steel pipe initial stress are monitored; the cable force is also monitored. For example, for cable force monitoring data, interpretation, feedback and correction are needed to be manually carried out after the cable force monitoring data are collected, and the efficiency of the whole process is low.
Therefore, a method for monitoring the whole construction process of the large-span steel arch bridge in the area, which can automatically monitor the construction process and discover potential safety hazards in time, is needed.
Disclosure of Invention
The application provides a technology for monitoring the whole construction process of a large-span steel arch bridge in a mountain area, which can automatically monitor the construction process and discover potential safety hazards in time.
In order to solve the technical problems, the application provides the following technical scheme:
the whole process monitoring technology for mountain area large-span steel arch bridge construction comprises the following steps:
s1, installing a cable force sensor on a buckling cable after the arch rib of each section is lifted;
s2, acquiring cable force detection data of the cable through a cable force sensor, and sending the cable force detection data to a data acquisition module;
s3, the data acquisition module sends the cable force detection data to a server, the cable force detection data and the design cable force value are compared and analyzed through the server, whether an abnormality exists or not is judged, and if the abnormality exists, early warning information is sent to a specified terminal;
s4, after the early warning information is sent, the server receives the processing feedback information, after the processing feedback information is received, the latest cable force detection data and the design cable force value are compared and analyzed, whether the abnormality exists or not is judged, if the abnormality does not exist, the early warning is released, and the hoisting of the next section is executed.
The basic scheme principle and the beneficial effects are as follows:
in the scheme, the cable force sensor is installed immediately after hoisting is completed, and is responsible for acquiring cable force data of the buckle cable in real time and transmitting the data to the data acquisition module. So as to monitor the change of the cable force in real time. The data acquisition module sends the acquired cable force detection data to the server for further processing and analysis, and judges whether an abnormal condition exists or not by comparing the cable force detection data with the designed cable force value.
After the server finishes analyzing the cable force detection data, if the server finds abnormality, the server can send early warning information to a preset terminal (such as a mobile phone or a computer of a worker) so as to take measures in time. Once the early warning information is sent out, the server waits for receiving the processing feedback information. After receiving feedback information from the terminal, the latest cable force detection data is compared with the designed cable force value to confirm whether the abnormal situation still exists. If the server confirms that the latest data is not abnormal, the early warning state is released, and the construction team can continue to hoist the next section. The whole process monitoring method can automatically monitor the cable force condition in the construction process, discover potential safety hazards in time, and remind related personnel to take necessary measures through early warning information so as to ensure the safety of construction.
Further, in step S2, the unmanned aerial vehicle is controlled to fly to the arch rib, the unmanned aerial vehicle is provided with a relay module, the cable force detection data is received through the relay module, and the received cable force detection data is sent to the data acquisition module.
Communication relay is carried out through the unmanned aerial vehicle, so that timely return of data can be guaranteed when a network is unstable, and delay is reduced.
Further, in the step S2, the data acquisition module further acquires communication delay data with the cable sensor, and sends the communication delay data to the server;
the server also judges whether the communication delay exceeds a preset value, and if the communication delay exceeds the preset value, the unmanned aerial vehicle is controlled to fly to the arch rib.
Because the dead time of the unmanned aerial vehicle is limited, communication delay occurs, namely when signals are unstable, the unmanned aerial vehicle is started again, and invalid flying of the unmanned aerial vehicle can be avoided.
Further, in the step S2, the server further obtains an installation position of the cable sensor on the buckling cable and an installation progress of the arch rib, and determines a spatial position of the cable sensor according to the installation progress of the arch rib and the installation position of the cable sensor on the buckling cable; planning a hovering position of the unmanned aerial vehicle according to the space position of the corresponding cable sensor; controlling the unmanned aerial vehicle to fly to a hovering position.
The unmanned aerial vehicle can approach the cable sensor, so that the physical distance is reduced, and the communication delay between the relay module and the cable sensor is reduced.
Further, the server marks the cable sensors with communication delay exceeding a preset value as high-delay cable sensors, judges whether the number of the high-delay cable sensors is more than 1, if so, determines the space position of each high-delay cable sensor according to the installation progress of the arch rib and the installation position of each cable sensor on the buckling cable,
and planning the hovering position of the unmanned aerial vehicle according to the space position of each high-delay cable sensor.
The drone can be made to cover each high delay rope force sensor as much as possible.
Further, in the step S1, a stress sensor is further installed on the arch rib;
s2, stress detection data are collected through the stress sensor, and the stress detection data are sent to the data collection module;
and S3, the data acquisition module sends the stress detection data to a server, and the server compares and analyzes the stress detection data with the design stress value to judge whether the abnormality exists.
Monitoring of rib stress can also be achieved.
Further, in the step S1, a temperature sensor is further installed on the arch rib, and an installation position of the temperature sensor is the same as an installation position of the stress sensor;
in step S2, temperature data of the arch rib is also acquired by the temperature sensor.
Monitoring of rib temperature can also be achieved.
Further, in the step S1, a cable sensor is further mounted on the back cable.
The monitoring of the stress of the dorsal cable is realized.
Drawings
Fig. 1 is a flowchart of an embodiment of a monitoring technology for a whole process of construction of a large-span steel arch bridge in a mountain area.
Detailed Description
The following is a further detailed description of the embodiments:
example 1
As shown in fig. 1, the whole process monitoring technology for mountain area large-span steel arch bridge construction in this embodiment includes the following steps:
s1, installing a stress sensor and a temperature sensor on each arch rib of each section, wherein the installation position of the temperature sensor is the same as that of the stress sensor; after the arch rib of each section is lifted, installing a cable force sensor on the buckling cable and installing a cable force sensor on the back cable; in this embodiment, the stress sensor adopts a surface strain gauge, and the cable sensor adopts a magnetic flux cable force detector.
S2, acquiring cable force detection data of the buckling cable through a cable force sensor on the buckling cable, and acquiring cable force detection data of the back cable through a cable force sensor on the back cable; transmitting the cable force detection data to a data acquisition module; stress detection data are collected through the stress sensor, temperature data of the arch rib are collected through the temperature sensor, and the stress detection data and the temperature data are sent to the data collection module; in this embodiment, the data acquisition module is configured to collect and forward data, where the data acquisition module uses a data acquisition box, and the data acquisition box is connected to the stress sensor, the temperature sensor, and the cable sensor by using wireless communication links; and the data acquisition box realizes the data return server through the temporary base station due to incomplete coverage of the mountain area mobile grid. The wireless communication link is adopted, the connection between the data acquisition box and the sensor is not affected by the network condition of the construction site, and the communication protocol of the wireless communication link can be WIFI or other private protocols so as to meet the requirements of long-distance and low-delay transmission.
And the unmanned aerial vehicle is further controlled to fly to the arch rib, the unmanned aerial vehicle is provided with a relay module, the cable force detection data is received through the relay module, and the received cable force detection data is sent to the data acquisition module.
Specific:
the data acquisition module also acquires communication delay data of the cable sensor on the cable, and sends the communication delay data to the server; the server also judges whether the communication delay exceeds a preset value according to the communication delay data, wherein the preset value is time delay of 200ms in the embodiment; if the communication delay exceeds the preset value, marking the cable sensor with the communication delay exceeding the preset value as a high-delay cable sensor, and judging whether the number of the high-delay cable sensors is larger than 1;
if the installation speed of the high-delay cable force sensor is equal to 1, acquiring the installation position of the high-delay cable force sensor on the corresponding buckling cable and the installation progress of the current arch rib, and determining the spatial position of the cable force sensor according to the installation progress of the arch rib and the installation position of the cable force sensor on the buckling cable; planning a hovering position of the unmanned aerial vehicle according to the space position of the corresponding cable sensor; controlling the unmanned aerial vehicle to fly to a hovering position. In this embodiment, the rib installation schedule refers to the currently installed rib segments. The BIM model in the steel arch bridge is prestored in the server and comprises a steel arch bridge, a buckling tower, a main rope, a traction rope, a lifting rope, a buckling rope, a back rope, a wind cable and the like for construction. And determining the corresponding arch rib section in the BIM according to the currently installed arch rib section, determining the position of the cable sensor in the BIM according to the buckling cable corresponding to the arch rib section and the installation position of the cable sensor on the buckling cable, and converting the position in the BIM into a spatial position in real space, namely a coordinate. When the hovering position is planned, the hovering position is made to be close to the space position of the cable force sensor, and a certain distance is kept between the hovering position and the main cable, the traction cable, the hoisting cable, the buckling cable, the arch rib and the like, and in the embodiment, a distance of 10 meters is kept.
If the number of the cable force sensors is larger than 1, determining the space position of each high-delay cable force sensor according to the installation progress of the arch rib and the installation position of each cable force sensor on the buckling cable, planning the hovering position of the unmanned aerial vehicle according to the space position of each high-delay cable force sensor, and controlling the unmanned aerial vehicle to fly to the hovering position. In this embodiment, the hovering position of the unmanned aerial vehicle is made to be as average as possible to be close to the spatial position of each high-delay cable sensor, and at the same time, a certain distance is kept between the hovering position and the main cable, the traction cable, the hoisting cable, the buckling cable, the arch rib and the like. For example, the spatial position is denoted as point a, all points a are traversed, their coordinates are added, and then divided by the number of points a to obtain their average positions, which are (a_avg_x, a_avg_y, a_avg_z);
for each point A, calculating the Euclidean distance between the point A and the average position, and finding the maximum distance, and marking the maximum distance as max_distance_A_to_avg;
and taking the average position as the center and taking the maximum distance as the radius, and generating a group of discrete points on the sphere as candidate points B. These candidate points may be obtained by dividing the sphere into grids or randomly sampling on the sphere surface.
Candidate points B falling at the distance of 10 meters of the main rope, the traction rope, the hoisting rope, the buckling rope and the arch rib are eliminated; for the remaining candidate points B, the distance between each point B and point a is calculated, and the point closest to the point a is selected as point B, i.e. the hover position.
S3, the data acquisition module sends the cable force detection data, the stress detection data and the temperature data to the server, the server compares and analyzes the cable force detection data and the design cable force value, whether the abnormality exists or not is judged, and if the abnormality exists, early warning information is sent to the appointed terminal. In this embodiment, the cable force detection data of the buckle cable is compared with the designed cable force value of the buckle cable, and the cable force detection data of the back cable is compared with the designed cable force value of the back cable. The server is also used for displaying the stress detection data and the temperature data in real time, comparing and analyzing the stress detection data and the design stress value through the server, judging whether the abnormality exists, and if the abnormality exists, sending early warning information to the appointed terminal. The design cable force value and the design stress value are input in advance by a worker. In this embodiment, the designated terminal is a terminal used by a designated worker, such as a smart phone.
S4, after the early warning information is sent, the server receives the processing feedback information, after the processing feedback information is received, the latest cable force detection data and the design cable force value are compared and analyzed, whether the abnormality exists or not is judged, if the abnormality does not exist, the early warning is released, and the hoisting of the next section is executed.
The foregoing is merely an embodiment of the present application, the present application is not limited to the field of this embodiment, and the specific structures and features well known in the schemes are not described in any way herein, so that those skilled in the art will know all the prior art in the field before the application date or priority date of the present application, and will have the capability of applying the conventional experimental means before the date, and those skilled in the art may, in light of the present application, complete and implement the present scheme in combination with their own capabilities, and some typical known structures or known methods should not be an obstacle for those skilled in the art to practice the present application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present application, and these should also be considered as the scope of the present application, which does not affect the effect of the implementation of the present application and the utility of the patent. The protection scope of the present application is subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (8)
1. The whole process monitoring technology for mountain area large-span steel arch bridge construction is characterized by comprising the following steps:
s1, installing a cable force sensor on a buckling cable after the arch rib of each section is lifted;
s2, acquiring cable force detection data of the cable through a cable force sensor, and sending the cable force detection data to a data acquisition module;
s3, the data acquisition module sends the cable force detection data to a server, the cable force detection data and the design cable force value are compared and analyzed through the server, whether an abnormality exists or not is judged, and if the abnormality exists, early warning information is sent to a specified terminal;
s4, after the early warning information is sent, the server receives the processing feedback information, after the processing feedback information is received, the latest cable force detection data and the design cable force value are compared and analyzed, whether the abnormality exists or not is judged, if the abnormality does not exist, the early warning is released, and the hoisting of the next section is executed.
2. The technology for monitoring the whole construction process of the mountain large-span steel arch bridge according to claim 1, wherein the technology comprises the following steps: in step S2, the unmanned aerial vehicle is controlled to fly to the arch rib, the unmanned aerial vehicle is provided with a relay module, cable force detection data are received through the relay module, and the received cable force detection data are sent to the data acquisition module.
3. The technology for monitoring the whole construction process of the mountain large-span steel arch bridge according to claim 2, wherein the technology comprises the following steps: in the step S2, the data acquisition module further acquires communication delay data with the cable sensor, and sends the communication delay data to the server;
the server also judges whether the communication delay exceeds a preset value, and if the communication delay exceeds the preset value, the unmanned aerial vehicle is controlled to fly to the arch rib.
4. A mountain area large span steel arch bridge construction whole process monitoring technique according to claim 3, wherein: in the step S2, the server further obtains an installation position of the cable sensor on the buckling cable and an installation progress of the arch rib, and determines a spatial position of the cable sensor according to the installation progress of the arch rib and the installation position of the cable sensor on the buckling cable; planning a hovering position of the unmanned aerial vehicle according to the space position of the corresponding cable sensor; controlling the unmanned aerial vehicle to fly to a hovering position.
5. The technology for monitoring the whole construction process of the mountain large-span steel arch bridge according to claim 4, wherein the technology comprises the following steps: the server also marks the cable sensors with communication delay exceeding a preset value as high-delay cable sensors, judges whether the number of the high-delay cable sensors is more than 1, if so, determines the space position of each high-delay cable sensor according to the installation progress of the arch rib and the installation position of each cable sensor on the buckling cable,
and planning the hovering position of the unmanned aerial vehicle according to the space position of each high-delay cable sensor.
6. The technology for monitoring the whole construction process of the mountain large-span steel arch bridge according to claim 1, wherein the technology comprises the following steps: in the step S1, a stress sensor is also arranged on the arch rib;
s2, stress detection data are collected through the stress sensor, and the stress detection data are sent to the data collection module;
and S3, the data acquisition module sends the stress detection data to a server, and the server compares and analyzes the stress detection data with the design stress value to judge whether the abnormality exists.
7. The technology for monitoring the whole construction process of the mountain large-span steel arch bridge according to claim 6, wherein the technology comprises the following steps: in the step S1, a temperature sensor is also arranged on the arch rib, and the installation position of the temperature sensor is the same as that of the stress sensor;
in step S2, temperature data of the arch rib is also acquired by the temperature sensor.
8. The technology for monitoring the whole construction process of the mountain large-span steel arch bridge according to claim 1, wherein the technology comprises the following steps: in the step S1, a cable sensor is also mounted on the back cable.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311060848.9A CN117053972A (en) | 2023-08-22 | 2023-08-22 | Mountain area large-span steel arch bridge construction whole process monitoring technology |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311060848.9A CN117053972A (en) | 2023-08-22 | 2023-08-22 | Mountain area large-span steel arch bridge construction whole process monitoring technology |
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| CN117053972A true CN117053972A (en) | 2023-11-14 |
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| CN202311060848.9A Pending CN117053972A (en) | 2023-08-22 | 2023-08-22 | Mountain area large-span steel arch bridge construction whole process monitoring technology |
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- 2023-08-22 CN CN202311060848.9A patent/CN117053972A/en active Pending
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