CN116090076B - Gabion abutment building system under complex environment and rapid building method thereof - Google Patents
Gabion abutment building system under complex environment and rapid building method thereof Download PDFInfo
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Abstract
The invention relates to the field of intelligent bridge construction design, in particular to a gabion abutment construction system under a complex environment and a quick construction method thereof, comprising a digital twin layer and a field physical layer, wherein the digital twin layer and the field physical layer are subjected to data interaction through a cloud interaction layer, and the digital twin layer is used for carrying out real-time digital mapping on the field physical layer and is provided with a collaborative design module for deriving a correction mapping model; according to the invention, the digital twin technology is used for establishing the digital twin model in the virtual space, and the data acquired by the sensors deployed in the physical space are uploaded to the digital twin model, so that the construction process of the simulation physical world in the digital twin model is operated, the problem of missing state information of the digital twin model is solved, further, the analysis of complex dynamic changes of the scene is realized, and the applications of diagnosis, analysis prediction, rapid construction and the like of the scene are supported.
Description
Technical Field
The invention relates to the field of intelligent bridge construction design, in particular to a gabion abutment construction system and a quick construction method thereof in a complex environment.
Background
The bridge is used as a key node and a junction project for interconnecting and communicating traffic facilities, is a tie crossing the cutting, and has very important function. However, the bridge construction environment in complex and difficult areas is very severe, the topography and geology is complex, the site height is limited, the infrastructure is weak, in addition, the bridge construction process dynamic change, the scene behavior and the change trend are not clear and the scene is difficult to sense comprehensively due to the influence of temperature difference change, canyon wind and slope deformation.
In addition, for bridge construction process under the complex environment, such as the situations of post-earthquake, mountain geological disaster emergency rescue and relief and the like, how to strive for the time for restoring road traffic within the stress intensity is particularly important.
Disclosure of Invention
The invention aims to provide a gabion abutment building system under a complex environment, which is used for analyzing complex dynamic changes of a scene and supporting applications such as diagnosis, analysis and prediction, rapid building and the like of the scene; the quick construction method of the gabion abutment under the complex environment is used for striving for the time for restoring road traffic in the stress intensity under the complex environments such as post-earthquake, mountain geological disaster rescue and relief and the like.
The invention is realized by the following technical scheme:
the utility model provides a gabion abutment building system under complex environment, includes digital twin layer, still includes the scene physical layer, digital twin layer with carry out data interaction through high in the clouds interaction layer between the scene physical layer, digital twin layer is used for carrying out real-time digital mapping to scene physical layer, and carries on the collaborative design module that is used for deriving correction mapping model, scene physical layer is including collection monitoring unit and the construction equipment unit that signal connection in proper order, collection monitoring unit is used for gathering construction data and environmental data, construction equipment unit with collaborative design module signal connection, and be used for actual construction process. It should be noted that, the conventional construction is also unable to meet the development requirement, the intelligent construction is a brand new construction and management manner, in the large environment of the intelligent construction, the digital twin technology is often used for solving the problems of safe evacuation expression and path planning in the construction process, in addition, the digital twin technology is also used for detecting the prestress structure in real time and predicting the safety level of the prestress structure in time, in summary, the digital twin technology has been used in the construction industry and has huge development prospect, but the twin technology in the prior art mainly uses single-point application and local systems, lacks the integration between the integrated application and the subsystems of the technology, and based on the problems, a gabion bridge abutment construction system in the complex environment is provided, and the problem of missing state information of the digital twin model is solved by establishing a digital twin model in a virtual world by using the digital twin technology and uploading data acquired by a sensor deployed in a physical space to the digital twin model, so that the analog physical construction process in the digital twin model runs.
Further, the collaborative design module performs virtual coupling through the built data acquired in the period of the acquisition monitoring unit to obtain a mapping model, and performs deduction correction on the mapping model through the environmental data acquired in the period of the acquisition monitoring unit, wherein the correction process is as follows: based on the dynamic update of the environment data, the collaborative design module is utilized to pre-analyze each environment data to obtain each data subsequence value, each subsequence value is used as an input vector of a mapping model to be fused, when the fusion result is smaller than a set threshold value, a correction model is output, and otherwise, the correction process is repeated. In the pre-decomposition process of the environmental data, a subsequence set of each data is obtained through a collaborative design module, wherein the subsequence set at least comprises two subsequences; in the fusion process, extremum of the subsequence set is further set, specifically, a cubic spline interpolation function corresponding to the environmental data in the collaborative design module is added to the subsequence set in a fitting mode, so that the maximum extremum and the minimum extremum in the subsequence set are determined, the average value of the subsequences corresponding to the environmental data is determined, and finally, the average value of the subsequences is used as an input vector of a mapping model to be fused. Based on the process, taking the environmental burstiness of a field physical layer under a complex environment as an example, the complex conditions of sudden aftershock, post-earthquake derived disasters and the like exist at any time, the digital twin model in the prior art cannot be suitable for the requirement of fitting the field physical layer, and under the environment, huge tests exist for building bridges.
Further, in the correction process, the mapping model fused by the subsequence values is compared with a theoretical model to obtain model deviation, the model deviation comprises displacement deviation in the longitudinal direction, the elevation direction and the transverse direction and corresponding rotation angle deviation of the vertical axis, the vertical axis and the transverse axis, and finally, a horizontal matrix and a rotation matrix are constructed according to the displacement deviation and the rotation angle deviation to correct the mapping model. It should be noted that, for the correction process, in order to avoid a larger deviation and a change of structural characteristics in the construction process, correction control is performed by setting a deviation limit value in advance, specifically, when the comparison result is greater than the deviation limit value, the correction control is considered to be not negligible, and automatic searching is performed from the database to generate a solution to the cloud interaction layer, and the solution is finally determined by a manual discussion mode; when the comparison result is smaller than the deviation limit value, the comparison result is considered to be negligible,
further, the construction data collected by the collection monitoring unit includes: line data, terrain data, unmanned aerial vehicle image data, environmental data includes: post-stage deformation, temperature, stress, and environmental variables. Taking post-earthquake bridge road rescue and relief as an example, the line data comprise route planning, time and construction time of each route planning, and time of same line between points; the terrain data includes: hills, valleys, geology, etc.; the unmanned aerial vehicle image data includes: post-site earthquake ground surface environment, vegetation influence data and the like. The environmental data comprise various data collected through a strain monitor, a cable force monitor, a boom tension monitor, a Beidou deformation monitor, a pier inclination monitor, a vibration monitor, a temperature and humidity monitor, a wind speed and direction monitor, a crack monitor, a bridge weighing device, a camera monitor and the like.
Further, the data interaction performed by the cloud interaction layer comprises geometric relationship, topological association, semantic association and spatial position of the digital twin layer and a field physical layer. Based on the above relationship, the data interaction between the digital twin layer and the field physical layer can be realized.
Preferably, the collection monitoring unit includes: strain monitor, cable force and boom tension monitor, beidou deformation monitor, pier inclination monitor, vibration monitor, temperature and humidity monitor, wind speed and direction monitor, crack monitor, bridge weighing device, camera monitor and unmanned aerial vehicle. Based on the acquisition monitoring unit, environmental data can be acquired in an omnibearing and multi-level manner, and the matching degree of the twin model and an actual structure is improved.
A quick construction method of a gabion abutment in a complex environment specifically comprises the following steps: step 1, using hoisting equipment to construct a pile by matching with vibration equipment and sinking pipe piles, and constructing a trestle by adopting a fishing method; step 2, hole guiding reinforcement is carried out on the tubular pile in the step 1; and 3, bridge deck construction, wherein the bridge deck construction is carried out after the step 2 is completed, and the cross beams and the panels are arranged on the lower chords. It should be noted that, for the above steps, emphasis is placed on quick construction without waiting for the solidification strength of concrete, and for emergency rescue, the time benefit of the earthquake rescue road needs to be ensured, so that the strength of the traditional concrete for 28 days can be synchronously achieved, the construction period can be greatly shortened, the rescue of the rescue construction channel is favorably ensured, the time for recovering the road traffic is striven for, and the earthquake rescue work is favorably supported.
Further, before the step 1 is carried out, a land area is formed after sand filling is carried out in a water area, the sand filling surface is higher than the elevation of the water surface, then vacuum water-covering pre-pressing treatment is carried out on the land area, composite foundation treatment is carried out, and gabion foot protectors are arranged on the treated land area. In the actual construction process, the construction is performed in a site-taking mode, so that the method is low in carbon and environment-friendly. It is to be noted that, the bearing capacity of the soft soil foundation in the near water area is improved, the consolidation degree of the soil body is increased, the water content of the soil body is reduced, the pile body rigidity of the tubular pile is high, the side friction resistance of the pile can be exerted in the whole pile length, the load is transferred to the deeper coating, the post-construction settlement of the bridge abutment is reduced more effectively, the structural settlement difference between the road and the bridge abutment is reduced, the whole process is simple, convenient and easy, the efficiency is high, the engineering quality is convenient to control, and the emergency rescue and disaster relief work under complex environments is very fit.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. according to the invention, a digital twin model is built in a virtual space by a digital twin technology, and data acquired by sensors deployed in a physical space are uploaded into the digital twin model, so that a simulation physical world building process in the digital twin model is operated, and the problem of missing state information of the digital twin model is solved;
2. the invention obtains a subsequence set of each data through a collaborative design module, wherein the subsequence set at least comprises two subsequences; in the fusion process, extremum of a subsequence set is further set, specifically, a cubic spline interpolation function corresponding to environmental data in a collaborative design module is added to the subsequence set in a fitting mode, so that the maximum extremum and the minimum extremum in the subsequence set are determined, the average value of the subsequence corresponding to each environmental data is determined, and finally, each average value of the subsequence is used as an input vector of a mapping model to be fused, so that analysis on complex dynamic changes of a scene is realized, and applications such as diagnosis, analysis prediction and rapid construction of the scene are supported;
3. the invention improves the bearing capacity of the soft soil foundation in the near water area, increases the consolidation degree of the soil body, reduces the water content, has high pile body rigidity of the tubular pile, can exert the side friction resistance of the pile in the whole pile length, transfers the load to a deeper coating, more effectively reduces post-construction settlement of the bridge abutment, reduces the structural settlement difference between the road and the bridge abutment, has simple and convenient and easy whole process, high efficiency, is convenient for controlling engineering quality, and is very suitable for rescue and relief work in complex environments.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention. In the drawings:
FIG. 1 is a schematic diagram of the structure of the present invention;
FIG. 2 is a schematic structural diagram of embodiment 2 of the present invention;
FIG. 3 is a cross-sectional view of example 2 of the present invention.
In the drawings, the reference numerals and corresponding part names:
1-gabion abutment, 2-bedplate, 3-bridge abutment, 4-crossbeam, 5-steel deck, 6-bailey beam, 7-bracing, 8-gabion foot protector, 9-wind-resistant pull rod.
Detailed Description
For the purpose of making apparent the objects, technical solutions and advantages of the present invention, the present invention will be further described in detail with reference to the following examples and the accompanying drawings, wherein the exemplary embodiments of the present invention and the descriptions thereof are for illustrating the present invention only and are not to be construed as limiting the present invention. It should be noted that the present invention is already in a practical development and use stage.
Example 1:
as shown in fig. 1, the gabion abutment building system in the complex environment comprises a digital twin layer and a site physical layer, wherein data interaction is performed between the digital twin layer and the site physical layer through a cloud interaction layer, the digital twin layer is used for performing real-time digital mapping on the site physical layer and is provided with a collaborative design module for deriving a correction mapping model, the site physical layer comprises an acquisition monitoring unit and a building equipment unit which are connected in sequence in a signal mode, the acquisition monitoring unit is used for acquiring building data and environment data, and the building equipment unit is in signal connection with the collaborative design module and is used for an actual building process.
It should be noted that, the conventional construction is also unable to meet the development requirement, the intelligent construction is a brand new construction and management manner, in the large environment of the intelligent construction, the digital twin technology is often used for solving the problems of safe evacuation expression and path planning in the construction process, in addition, the digital twin technology is also used for detecting the prestress structure in real time and predicting the safety level of the prestress structure in time, in summary, the digital twin technology has been used in the construction industry and has huge development prospect, but the twin technology in the prior art mainly uses single-point application and local systems, lacks the integration between the integrated application and the subsystems of the technology, and based on the problems, a gabion bridge abutment construction system in the complex environment is provided, and the problem of missing state information of the digital twin model is solved by establishing a digital twin model in a virtual world by using the digital twin technology and uploading data acquired by a sensor deployed in a physical space to the digital twin model, so that the analog physical construction process in the digital twin model runs.
More specifically, the real-time digitized mapping implementation logic is: constructing a knowledge reasoning rule set of the relationship between the physical layer components of the site based on the historical map of the construction scene, and the relationship between the basic geographic scene and the construction scene; constructing a digital twin model based on the conditions; performing deduction and correction on the mapping model based on dynamic update of the environmental data under the construction scene; and finally, carrying out a construction process according to the output correction model. For the construction process, the equipment that can be used to implement the integrated construction process can be used in the present construction system, and the description is omitted here, only for the control process in the construction process, and for the specific virtual mapping process of the front wall of the gabion abutment 1 in the present application: firstly, picking and placing the front wall Surface into a Surface, and then dividing the Surface lines at equal intervals, wherein the dividing height is the height of the road embankment behind the platform plus the height of the base. Dividing each curve equally, dividing proper quantity according to the height and the inclined angle of the road embankment behind the platform, establishing an XY plane on each point, and aligning the established XY plane with the tangential direction of the point of curve by using a plane alignment command. And establishing a pick-up point above the curve, wherein the position of the point is the exact center of the construction equipment, and transplanting the construction equipment with the plane data coordinate system of the pick-up point as a base and with the plane coordinate system in the tangential direction of the curve as a target by using an Orient command, so as to generate the form of the front wall and the front wall construction program.
The collaborative design module performs virtual coupling through the construction data acquired in the period of the acquisition monitoring unit to obtain a mapping model, and performs deduction correction on the mapping model through the environmental data acquired in the period of the acquisition monitoring unit, wherein the correction process is as follows: based on the dynamic update of the environment data, the collaborative design module is utilized to pre-analyze each environment data to obtain each data subsequence value, each subsequence value is used as an input vector of a mapping model to be fused, when the fusion result is smaller than a set threshold value, a correction model is output, and otherwise, the correction process is repeated.
In the pre-decomposition process of the environmental data, a subsequence set of each data is obtained through a collaborative design module, wherein the subsequence set at least comprises two subsequences; in the fusion process, extremum of the subsequence set is further set, specifically, a cubic spline interpolation function corresponding to the environmental data in the collaborative design module is added to the subsequence set in a fitting mode, so that the maximum extremum and the minimum extremum in the subsequence set are determined, the average value of the subsequences corresponding to the environmental data is determined, and finally, the average value of the subsequences is used as an input vector of a mapping model to be fused. Based on the above process, taking the environmental burstiness of the field physical layer under the complex environment as an example, the complex conditions such as sudden aftershock, post-earthquake derived disasters and the like exist at any time, the digital twin model in the prior art cannot be suitable for the requirement of fitting the field physical layer, and under the environment, huge tests exist for building the bridge.
In the correction process, the mapping model fused by the subsequence values is compared with a theoretical model to obtain model deviation, the model deviation comprises displacement deviation in the longitudinal direction, the elevation direction and the transverse direction and corresponding rotation angle deviation of the vertical axis, the vertical axis and the transverse axis, and finally, a horizontal matrix and a rotation matrix are constructed according to the displacement deviation and the rotation angle deviation to correct the mapping model. It should be noted that, for the correction process, in order to avoid a larger deviation and a change of structural characteristics in the construction process, correction control is performed by setting a deviation limit value in advance, specifically, when the comparison result is greater than the deviation limit value, the correction control is considered to be not negligible, and automatic searching is performed from the database to generate a solution to the cloud interaction layer, and the solution is finally determined by a manual discussion mode; when the comparison result is smaller than the deviation limit value, the comparison result is considered to be negligible,
it should be noted that, the building data collected by the collection monitoring unit includes: line data, terrain data, unmanned aerial vehicle image data, environmental data includes: post-stage deformation, temperature, stress, and environmental variables. Taking post-earthquake bridge road rescue and relief as an example, the line data comprise route planning, time and construction time of each route planning, and time of same line between points; the terrain data includes: hills, valleys, geology, etc.; the unmanned aerial vehicle image data includes: post-site earthquake ground surface environment, vegetation influence data and the like. The environmental data comprise various data collected through a strain monitor, a cable force monitor, a boom tension monitor, a Beidou deformation monitor, a pier inclination monitor, a vibration monitor, a temperature and humidity monitor, a wind speed and direction monitor, a crack monitor, a bridge weighing device, a camera monitor and the like.
In this embodiment, preferably, the data interaction performed by the cloud interaction layer includes a geometric relationship, a topological association, a semantic association and a spatial position of the digital twin layer and a field physical layer. Based on the above relationship, the data interaction between the digital twin layer and the field physical layer can be realized.
In this embodiment, preferably, the collection monitoring unit includes: strain monitor, cable force and boom tension monitor, beidou deformation monitor, pier inclination monitor, vibration monitor, temperature and humidity monitor, wind speed and direction monitor, crack monitor, bridge weighing device, camera monitor and unmanned aerial vehicle. Based on the acquisition monitoring unit, environmental data can be acquired in an omnibearing and multi-level manner, and the matching degree of the twin model and an actual structure is improved.
A quick construction method of a gabion abutment in a complex environment specifically comprises the following steps: step 1, using hoisting equipment to construct a pile by matching with vibration equipment and sinking pipe piles, and constructing a trestle by adopting a fishing method; step 2, hole guiding reinforcement is carried out on the tubular pile in the step 1; and 3, bridge deck construction, wherein after the step 2 is completed, bridge deck construction is carried out, and the cross beam 4 and the panel are arranged on the lower chord. It should be noted that, for the above steps, emphasis is placed on quick construction without waiting for the solidification strength of the concrete, and for the emergency rescue and relief work, the time benefit of the earthquake rescue road needs to be ensured, so that the strength of the traditional concrete for 28 days can be synchronously achieved, the construction period can be greatly shortened, the rescue of the construction channel is favorably ensured, the time for recovering the road traffic is striven for, and the earthquake rescue work is favorably supported.
In this embodiment, it is preferable that before step 1, a land area is formed after sand is filled in the water area, the sand filling surface is higher than the elevation of the water surface, then the land area is subjected to vacuum water-covering pre-pressing treatment, then composite foundation treatment is performed, and the treated land area is provided with gabion guard feet 8. In the actual construction process, the construction is performed in a site-taking mode, so that the method is low in carbon and environment-friendly. It is to be noted that, the bearing capacity of the soft soil foundation in the near water area is improved, the consolidation degree of the soil body is increased, the water content of the soil body is reduced, the pile body rigidity of the tubular pile is high, the side friction resistance of the pile can be exerted in the whole pile length, the load is transferred to the deeper coating, the post-construction settlement of the bridge abutment is reduced more effectively, the structural settlement difference between the road and the bridge abutment is reduced, the whole process is simple, convenient and easy, the efficiency is high, the engineering quality is convenient to control, and the emergency rescue and disaster relief work under complex environments is very fit.
Example 2:
this example describes only the portions different from example 1, specifically: as shown in fig. 2 to 3, for the concrete construction example of the present application, namely, a gabion abutment 1 under a complex environment, the gabion abutment 1 comprises gabion abutment 1 arranged at two sides of a river channel, a seat plate 2 is arranged on the gabion abutment 1, a bridge seat 3 is arranged on the seat plate 2, two cross beams 4 are lapped between the bridge seats 3, steel bridge panels 5 are arranged on the cross beams 4, bailey beams 6 are arranged at two ends of each steel bridge panel 5, the bailey beams 6 are fixed through diagonal braces 7, the side surfaces of the gabion abutment 1 are also provided with gabion foot guards 8, two opposite surfaces of the gabion abutment 1 are inclined, and wind-resistant pull rods 9 are arranged under the cross beams 4.
Based on the above structure, the foundation is enlarged, the important point is that the construction is quick, the concrete solidification strength is not required to be equal, the inclination of the front wall of the gabion abutment 1 can be used for balancing the soil pressure of the roadbed behind the back, reducing the front site compressive stress and ensuring the anti-overturning stability of the abutment. The existing two-span bridge abutment has long construction period, can not be completed within 7 days, and can not guarantee the time benefit of dredging the earthquake rescue road. The gabion abutment 1 considered finally can dredge the road without waiting for the strength of the concrete to reach 28 days based on the construction system of the application, greatly shortens the construction period, favorably guarantees the rush-through of the construction passageway, strives for the time of restoring the road to pass, favorably supports earthquake relief, and can also take materials on site, and is low-carbon and environment-friendly.
It should be further noted that, the trusses at two ends of the beam 4 adopt high shear-resistant trusses, the rest is a common truss, and the upper chords and the lower chords of the truss sheets are provided with reinforcing chords at the 2 nd to 9 th sections, the whole bridge adopts a lower bearing structure, that is, the beam 4 and the bridge deck are arranged on the lower chords, the bridge is assembled by adopting 321 bailey pieces, the bridge structure is three-row single-layer reinforced type, the bridge abutment adopts a steel gabion bridge abutment 1, a gabion is welded by adopting steel, and pebbles or rubbles are filled in the bridge.
Example 3:
this example describes only the portions different from example 1, specifically: for the correction process, comparing the mapping model fused by the subsequence values with a theoretical model to obtain model deviation, wherein the model deviation comprises displacement deviation in longitudinal, elevation and transverse directions
And the angular deviations of the corresponding vertical, vertical and horizontal axes
Finally according to the displacement deviation->
And corner deviation->
And constructing a horizontal matrix and a rotation matrix to correct the mapping model.
Wherein, the horizontal matrix:
rotating the matrix:
when the matrix operation is performed, firstly, the theoretical position of one measuring point is moved to a position overlapped with the actual measurement position of the corresponding measuring point by using the translation matrix, and when the theoretical position of one measuring point is moved, the rest measuring points translate along with the measuring point; and then, the rotation matrix is applied to each measuring point to enable the measuring point to be rotated to a corresponding position, all theoretical measuring point coordinates are spatially moved according to the translation matrix and the rotation matrix, model fitting is carried out, and correction operation is carried out according to fitting results.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (4)
1. The utility model provides a gabion abutment building system under complex environment, includes digital twin layer, its characterized in that: the system comprises a digital twin layer, a field physical layer and a building equipment unit, wherein the digital twin layer is used for carrying out real-time digital mapping on the field physical layer and is provided with a collaborative design module for deriving a correction mapping model, the field physical layer comprises an acquisition monitoring unit and a building equipment unit which are connected in sequence in a signal mode, the acquisition monitoring unit is used for acquiring building data and environment data, and the building equipment unit is connected with the collaborative design module in a signal mode and is used for an actual building process;
the collaborative design module performs virtual coupling through the construction data acquired in the period of the acquisition monitoring unit to obtain a mapping model, and performs deduction correction on the mapping model through the environmental data acquired in the period of the acquisition monitoring unit, wherein the correction process is as follows: based on the dynamic update of the environment data, pre-decomposing the environment data by utilizing the collaborative design module to obtain each data subsequence value, fusing the subsequence values as input vectors of a mapping model, outputting a correction model when the fusion result is smaller than a set threshold value, and otherwise repeating the correction process;
in the correction process, comparing the mapping model fused by the subsequence values with a theoretical model to obtain model deviation, wherein the model deviation comprises displacement deviation in the longitudinal direction, the elevation direction and the transverse direction and rotation angle deviation of a corresponding vertical axis, a corresponding vertical axis and a corresponding transverse axis, and finally, constructing a horizontal matrix and a rotation matrix according to the displacement deviation and the rotation angle deviation to correct the mapping model;
wherein, in the correction process, each subsequence is processedComparing the mapping model under the value fusion with a theoretical model to obtain model deviation, wherein the model deviation comprises displacement deviation in longitudinal direction, elevation direction and transverse direction
And the corresponding longitudinal, vertical and transverse axes of angular deviation +.>
Finally according to the displacement deviation->
And angular deviation
Constructing a horizontal matrix and a rotation matrix to correct the mapping model;
wherein, the horizontal matrix:
rotating the matrix:
the stone cage bridge abutment comprises a stone cage bridge abutment body and is characterized in that a seat board (2) is arranged on the stone cage bridge abutment body (1), bridge seats (3) are arranged on the seat board (2), a cross beam (4) is lapped between the bridge seats (3), a steel bridge panel (5) is arranged on the cross beam (4), bailey beams (6) are arranged at two ends of the steel bridge panel (5), the bailey beams (6) are fixed through inclined struts (7), stone cage foot protection legs (8) are arranged on the side face of the stone cage bridge abutment body (1), the two faces of the stone cage bridge abutment body (1) opposite to each other are inclined, and an anti-wind pull rod (9) is arranged below the cross beam (4).
2. A gabion abutment construction system in a complex environment as claimed in claim 1, wherein: the construction data collected by the collection monitoring unit comprises: line data, terrain data, unmanned aerial vehicle image data, environmental data includes: post-stage deformation, temperature, stress, and environmental variables.
3. A gabion abutment construction system in a complex environment as claimed in claim 1, wherein: the data interaction performed by the cloud interaction layer comprises geometric relationship, topological association, semantic association and spatial position of the digital twin layer and a field physical layer.
4. A gabion abutment construction system in a complex environment as claimed in claim 2, wherein: the acquisition monitoring unit includes: strain monitor, cable force and boom tension monitor, beidou deformation monitor, pier inclination monitor, vibration monitor, temperature and humidity monitor, wind speed and direction monitor, crack monitor, bridge weighing device, camera monitor and unmanned aerial vehicle.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102561192A (en) * | 2011-12-19 | 2012-07-11 | 郑州大学 | Building method for mound-free suspension bridge |
| CN113867299A (en) * | 2021-10-18 | 2021-12-31 | 郑州轻工业大学 | IPPS problem solving method under uncertain disturbance based on digital twin |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022015806A1 (en) * | 2020-07-15 | 2022-01-20 | Endurica, LLC | System and method for providing digital twin services from multiple digital twin providers |
| CN112195780A (en) * | 2020-09-09 | 2021-01-08 | 广州瀚阳工程咨询有限公司 | Numerical control method for erection line shape of segmental precast bridge |
| CN114000907A (en) * | 2021-12-10 | 2022-02-01 | 重庆邮电大学 | Mine ventilation equipment intelligent regulation and control system based on digital twin technology |
| CN114164775B (en) * | 2021-12-28 | 2022-10-18 | 四川交大工程检测咨询有限公司 | Fine adjustment and rejuvenation method based on bridge track defect elimination jacking process |
| CN114510768A (en) * | 2022-02-25 | 2022-05-17 | 山东大学 | Steel pipe concrete arch bridge construction monitoring method and system based on digital twinning |
| CN114411721B (en) * | 2022-03-01 | 2024-05-24 | 中国铁建大桥工程局集团有限公司 | Replacement construction method for steel trestle bridge forming and then anchoring steel pipe pile |
| CN115439267A (en) * | 2022-08-08 | 2022-12-06 | 南京航空航天大学 | Digital twinning-based visual real-time monitoring method |
| CN115544264B (en) * | 2022-09-09 | 2023-07-25 | 西南交通大学 | Knowledge-driven intelligent construction method and system for digital twin scene of bridge construction |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102561192A (en) * | 2011-12-19 | 2012-07-11 | 郑州大学 | Building method for mound-free suspension bridge |
| CN113867299A (en) * | 2021-10-18 | 2021-12-31 | 郑州轻工业大学 | IPPS problem solving method under uncertain disturbance based on digital twin |
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