CN103306173B - Novel high-speed railway structure settlement monitoring method - Google Patents
Novel high-speed railway structure settlement monitoring method Download PDFInfo
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- CN103306173B CN103306173B CN201310285246.3A CN201310285246A CN103306173B CN 103306173 B CN103306173 B CN 103306173B CN 201310285246 A CN201310285246 A CN 201310285246A CN 103306173 B CN103306173 B CN 103306173B
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Abstract
The invention discloses a novel high-speed railway structure settlement monitoring method. A precise leveling technology and a PSI measuring technology are combined, regular long-period monitoring and regular short-period monitoring are performed on high-speed railway structure settlement in the study area, and settlement monitoring results of a high-speed railway structure in each short period are obtained through subsequent data processing. The method includes: laying artificial corner reflectors, performing level monitoring on the artificial corner reflectors, performing level monitoring on the high-speed railway structure, adopting the PSI to extract high-speed railway structure settlement information, performing global optimization on PSI settlement results on the high-speed railway structure, and utilizing high-speed railway structure precise leveling monitoring achievements to perform partial correction on PSI results to generate a high-speed railway settlement monitoring analysis report. The method combines characteristics of the precise leveling technology and the PSI technology, a few of artificial corner reflectors are laid on the ground, artificial online operation frequency for high-speed railway structure settlement monitoring is reduced to the greatest extent, operation risks caused by the fact that a precise leveling method is used for monitoring the high-speed railway structure settlement are lowered, cost is reduced, and monitoring efficiency is improved.
Description
Technical field
The present invention relates to high ferro structure settlement monitoring technology, particularly relate to the monitoring technology adopting Differential Interferometric Synthetic Aperture Radar to combine with precise leveling.
Background technology
The high ferro operation mileage of China reaches No. 1 in the world, makes the trip of people convenient, quick.Meanwhile, along with the raising of train running speed, as ensureing that the settlement monitoring work of high ferro operation security seems more important, workload also expands further.
At present, China carries out high ferro structure settlement monitoring and mainly adopts precise leveling method, utilizes level gauge manually to reach the standard grade and measures.The method has simple to operate, the advantage such as monitoring accuracy is high, technology maturation, but also exist significantly not enough: (1) closes the high ferro of stereostropic cross model and public transport operation way for adopting, need to reach the standard grade during high ferro stoppage in transit at night operation, the available working time is short, task difficulty and risk are comparatively large, inefficiency; (2) affect comparatively greatly by weather condition, need to avoid the weather such as strong wind sleet mist; (3) a large amount of people's force-summing devices is needed; (4) observation cycle is longer, and the precision of different monitoring points position is inconsistent.
In addition, hydrostatic level is measured and is also studied as a kind of Monitoring method of the subsidence.The method automaticity is higher, and monitoring accuracy is also higher, also tests for high ferro structure settlement monitoring in recent years.But this equipment is suitable for local structure settlement monitoring among a small circle, equipment cost and maintenance cost high.
Existing high ferro structure settlement monitoring technology is in Improvement and development.
Summary of the invention
For existing high ferro structure settlement monitoring technology aspect Problems existing, the present invention releases a kind of new high-speed railway structure Monitoring method of the subsidence, its object is to, precise leveling is combined with PSI measuring technique, high ferro structure sedimentation in survey region is carried out to the periodic monitoring of long and short cycle, then obtain the settlement monitoring result in each short period of high ferro structure by follow-up data process.
PSI (Permanent Scatter Interferometric SAR, Permanent scatterers synthetic aperture radar interferometry) technology be in recent years fast-developing get up new technology, by space remote sensing radar satellite, regularly in the radar image data of acquisition ground, the high-altitude survey region of several hundred kilometers, radar image data of many phases are processed, obtains the miniature deformation amount of metastable atural object in some cycles on earth's surface.PSI technology have contactless, field work amount is little, by advantages such as weather effect are little.Especially the spatial and temporal resolution along with radar image data is more and more higher, and many kinds of radar data processing new method constantly occurs, makes PSI technology obtain the application of wider model.But PSI technology is at present substantially also for regional subsidence monitoring, and PSI acquisition is relative settlement amount, instead of absolute settlement amount, does not also directly apply to high ferro structure settlement monitoring.
Precise leveling combines with PSI measuring technique by the present invention, by extracting PS (the Permanent Scatters on high ferro structure, Permanent scatterers) point data, utilize manual corner reflector (CornerReflector, CR) the long period precise level monitoring result of precise level monitoring result and high ferro structure is verified and calibration PSI sequential settlement monitoring result, to obtain in survey region high ferro structure sedimentation delta data accurately.
High-speed railway structure settlement monitoring new method involved in the present invention, concrete steps comprise: lay manual corner reflector, level monitoring is carried out to manual corner reflector, level monitoring is carried out to high ferro structure, PSI is adopted to extract high ferro structure sedimentation information, global optimization is carried out to PSI settlement monitoring result on high ferro structure, utilizes high ferro structure precise level monitoring result to carry out local to PSI settlement monitoring result and correct, generate the report of high ferro structure Settlement Monitoring Analysis.
S1, laying manual corner reflector
According to the atural object situation along the line of high ferro in survey region, in survey region, lay manual corner reflector, manual corner reflector is laid in that man-made features are sparse as far as possible, vegetation or farmland be on a large scale in overlay area.Manual corner reflector quantity is no less than 2, and manual corner reflector distance high ferro vertical distance is no more than 2 kilometers.
S2, precise level monitoring is carried out to manual corner reflector
Adopt the mode of precise leveling, carry out regular settlement monitoring to the manual corner reflector of surface deployment, monitoring periods manual corner reflector being carried out to settlement monitoring is consistent with SAR (synthetic aperture radar) data acquisition cycle; Each precise level monitoring need complete in 5 days before and after SAR data obtains, and is obtained the level monitoring result of manual corner reflector by Levelling compensating computation.
S3, precise level monitoring is carried out to high ferro structure
Adopt the mode of precise leveling, regular settlement monitoring is carried out to high ferro structure in survey region, monitoring periods high ferro structure being carried out to settlement monitoring is that SAR data obtains the 3-12 in cycle doubly, 2 cycles are no less than to the precise level monitoring that high ferro structure carries out, and each level monitoring is no more than 15 days, obtain high ferro structure precise level monitoring achievement by compensating computation.
S4, employing PSI extract high ferro structure sedimentation information
Regularly in high ferro survey region, obtain high-resolution SAR image data, SAR image data spatial resolution is not less than 3 meters, and according to PSI techniqueflow, SAR image is processed, select metastable PS point to twine reference point as solution in processing procedure, obtain the PSI settlement monitoring result on earth's surface in whole survey region; And from the PSI settlement monitoring result on earth's surface in whole survey region, isolate the PSI settlement monitoring result of high ferro structure.
S5, global optimization is carried out to PSI settlement monitoring result
Utilize the precise level monitoring result of manual corner reflector, global optimization is carried out to the PSI settlement monitoring result of high ferro structure, eliminate systematic error.
S6, PSI settlement monitoring result carried out to local and correct
Utilize the settlement monitoring result of high ferro structure Levelling adjacent periods, local is carried out to the PSI settlement monitoring result of the high ferro structure after global optimization and corrects.
The high ferro structure settlement monitoring result utilizing Levelling to observe carries out accuracy test to the PSI settlement monitoring result after global optimization and local correct.If assay meets required precision, enter S7 step, if assay does not meet required precision, return S4 step.
S7, the report of generation high ferro structure Settlement Monitoring Analysis
Utilize the PSI settlement monitoring result of the high ferro structure in S6 step after local is corrected, calculate the high ferro structure rate of settling, settling amount, and high ferro structure Subsidence trend, local Deposition Characteristic are analyzed, and form final analysis report.
High-speed railway structure settlement monitoring new method involved in the present invention is in conjunction with Levelling and PSI technical characterstic, by at a small amount of manual corner reflector of surface deployment, reduce high ferro structure settlement monitoring manually to reach the standard grade the frequency of operation as far as possible, reduce and adopt Levelling method to the operating risk of high ferro structure settlement monitoring at present, reduce costs and improve monitoring efficiency.
Accompanying drawing explanation
Fig. 1 is the flow chart carrying out the method for high ferro structure settlement monitoring based on Levelling and PSI technical tie-up of the present invention.
Description of symbols in figure:
S
1, lay manual corner reflector
S
2, precise level monitoring is carried out to manual corner reflector
S
3, precise level monitoring is carried out to high ferro structure
S
4, adopt PSI to extract high ferro structure sedimentation information
S
5, global optimization is carried out to PSI settlement monitoring result
S
6, PSI settlement monitoring result carried out to local and corrects
S
7, generate the report of high ferro structure Settlement Monitoring Analysis.
Detailed description of the invention
By reference to the accompanying drawings technical scheme of the present invention is described further.As shown in Figure 1, high-speed railway structure settlement monitoring new method involved in the present invention comprises following technical step:
S1, laying manual corner reflector
According to the atural object distribution situation along the line of high ferro in survey region, the high ferro in survey region along both side selects suitable position, and lays manual corner reflector (Conner Reflection, CR), and manual corner reflector adopts trihedral; Within the scope of single scape SAR data or within the scope of single survey region, the manual corner reflector quantity of laying is no less than 2; Manual corner reflector is laid in that artificial structure is sparse as far as possible, vegetation or overlay area on a large scale, farmland; The vertical distance of manual corner reflector distance high ferro is no more than 2 kilometers.
S2, precise level monitoring is carried out to manual corner reflector
Adopt the mode of precise leveling, carry out regular settlement monitoring to the manual corner reflector of surface deployment, it is consistent that monitoring periods manual corner reflector being carried out to settlement monitoring and SAR data obtain the cycle; Each precise level monitoring need complete in 5 days before and after SAR data obtains, and is obtained the level settlement monitoring result of manual corner reflector by Levelling compensating computation.
S3, precise level monitoring is carried out to high ferro structure
First the precise level monitoring cycle is set, regular settlement monitoring is carried out to high ferro structure in survey region, monitoring periods high ferro structure being carried out to settlement monitoring is that SAR data obtains the 3-12 in cycle doubly, is no less than 2 observation cycles to the precise level monitoring that high ferro structure carries out; Adopt the mode of precise leveling, carry out settlement monitoring to high ferro structure in survey region, each level monitoring is no more than 15 days, obtains high ferro structure precise level monitoring achievement by compensating computation.
S4, employing PSI extract high ferro structure sedimentation information
Formulate SAR data and obtain plan, and obtain high-resolution SAR image data according to plan in high ferro survey region, SAR image data spatial resolution is not less than 3 meters; According to PSI techniqueflow, SAR image is processed, in processing procedure, select metastable PS point to twine reference point as solution, obtain the PSI settlement monitoring result on earth's surface in whole survey region.
Then, according to the information such as geographical position, geometric properties of high ferro structure, in the whole survey region obtained earth's surface PSI settlement monitoring result isolate the PSI settlement monitoring result of high ferro structure.
Finally, the PSI settlement monitoring result of the high ferro structure separated is optimized, rejects wrong PS point.
S5, global optimization is carried out to PSI settlement monitoring result
Utilize the precise level monitoring result of manual corner reflector, global optimization is carried out to the PSI settlement monitoring result of high ferro structure, eliminates because solution twines the systematic error existed between reference point and manual corner reflector.Then, Levelling is utilized to carry out accuracy test to the settlement monitoring result of high ferro structure to the PSI settlement monitoring result after global optimization.If assay meets required precision, then can directly enter S7 step, utilize the PSI data after global optimization to analyze high ferro structure settlement monitoring; If assay does not meet required precision, then enter S6 step, further correction is optimized to PSI monitoring result.
S6, PSI settlement monitoring result carried out to local and correct
Utilize the settlement monitoring result of high ferro structure Levelling adjacent periods, from time-space domain, local is carried out to the PSI settlement monitoring result of the high ferro structure after S5 step global optimization and corrects.
After correction, the high ferro structure settlement monitoring result utilizing Levelling to observe carries out accuracy test to the PSI settlement monitoring result after local is corrected.If assay meets required precision, enter S7 step, if assay does not meet required precision, return S4 step.
S7, the report of generation high ferro structure Settlement Monitoring Analysis
Utilize the PSI settlement monitoring result after local is corrected, calculate the high ferro structure rate of settling, settling amount, and high ferro structure Subsidence trend, local Deposition Characteristic are analyzed, and form final analysis report.
Claims (6)
1. a high-speed railway structure settlement monitoring new method, it is characterized in that, the step of described method comprises: lay manual corner reflector, precise level monitoring is carried out to manual corner reflector, precise level monitoring is carried out to high ferro structure, adopts PSI to extract high ferro structure sedimentation information, global optimization is carried out to PSI settlement monitoring result, carry out local to PSI settlement monitoring result to correct, generate the report of high ferro structure Settlement Monitoring Analysis;
Described employing PSI extracts high ferro structure sedimentation information, regularly in high ferro survey region, obtain high-resolution SAR image data, and according to PSI techniqueflow, SAR image is processed, select metastable PS point to twine reference point as solution in processing procedure, obtain the PSI settlement monitoring result on earth's surface in whole survey region; In whole survey region earth's surface PSI settlement monitoring result isolate the PSI settlement monitoring result of high ferro structure;
Described carries out global optimization to PSI settlement monitoring result, is the precise level monitoring result utilizing manual corner reflector, carries out global optimization to the PSI settlement monitoring result of high ferro structure, eliminates systematic error;
Described carries out local correction to PSI settlement monitoring result, is that the settlement monitoring result of the high ferro structure utilizing Levelling to observe carries out local correction to the PSI settlement monitoring result after global optimization, and carries out accuracy test to PSI settlement monitoring result.
2. high-speed railway structure settlement monitoring new method according to claim 1, it is characterized in that, described laying manual corner reflector, be laid in that man-made features are sparse, vegetation or farmland be on a large scale in overlay area, the manual corner reflector quantity laid is no less than 2, and manual corner reflector distance high ferro vertical distance is no more than 2 kilometers.
3. high-speed railway structure settlement monitoring new method according to claim 1, it is characterized in that, described carries out precise level monitoring to manual corner reflector, be carry out regular settlement monitoring to the manual corner reflector of surface deployment, it is consistent that monitoring periods manual corner reflector being carried out to settlement monitoring and SAR data obtain the cycle.
4. high-speed railway structure settlement monitoring new method according to claim 3, it is characterized in that, described carries out precise level monitoring to manual corner reflector, and each precise level monitoring need complete in 5 days before and after SAR data obtains.
5. high-speed railway structure settlement monitoring new method according to claim 1, it is characterized in that, described carries out precise level monitoring to high ferro structure, adopt the method for Levelling to carry out regular settlement monitoring to high ferro structure in survey region, monitoring periods high ferro structure being carried out to level settlement monitoring is that SAR data obtains the 3-12 in cycle doubly, 2 cycles are no less than to the precise level monitoring that high ferro structure carries out, and each level monitoring is no more than 15 days.
6. high-speed railway structure settlement monitoring new method according to claim 1, it is characterized in that, described generation high ferro structure Settlement Monitoring Analysis report, it is the PSI settlement monitoring result of the high ferro structure utilized after local is corrected, calculate the high ferro structure rate of settling, settling amount, and high ferro structure Subsidence trend, local Deposition Characteristic are analyzed, form final analysis report.
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Publication number | Priority date | Publication date | Assignee | Title |
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CN104032630A (en) * | 2014-06-16 | 2014-09-10 | 中南大学 | Method for continuously measuring track settlement based on angle transmission |
CN104278603B (en) * | 2014-10-28 | 2015-12-30 | 铁道第三勘察设计院集团有限公司 | A kind of high-speed railway PSI settlement monitoring information extracting method |
CN104268440B (en) * | 2014-10-28 | 2017-04-19 | 铁道第三勘察设计院集团有限公司 | PSI settlement monitoring result processing method on basis of high-speed rail structural body |
CN107515397A (en) * | 2017-07-17 | 2017-12-26 | 中国南方电网有限责任公司超高压输电公司大理局 | Based on InSAR technology high-frequencies earthquake areas current conversion station slope sedimentation monitoring method |
CN109029343B (en) * | 2018-06-29 | 2021-08-24 | 青岛理工大学 | Method for determining unknown goaf range and old goaf residual settlement |
CN111142119B (en) * | 2020-01-10 | 2021-08-17 | 中国地质大学(北京) | Mine geological disaster dynamic identification and monitoring method based on multi-source remote sensing data |
CN111649718A (en) * | 2020-06-16 | 2020-09-11 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Bridge foundation settlement monitoring algorithm based on Beidou satellite system |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009192292A (en) * | 2008-02-13 | 2009-08-27 | Toshiba It & Control Systems Corp | Track inspecting apparatus and track inspecting method |
CN101706577A (en) * | 2009-12-01 | 2010-05-12 | 中南大学 | Method for monitoring roadbed subsidence of express way by InSAR |
CN101899845A (en) * | 2010-04-07 | 2010-12-01 | 西南交通大学 | High-speed railway settlement monitoring technology |
CN102146648A (en) * | 2011-03-14 | 2011-08-10 | 西南交通大学 | High-speed railway structure settlement monitoring device and monitoring method |
-
2013
- 2013-07-09 CN CN201310285246.3A patent/CN103306173B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009192292A (en) * | 2008-02-13 | 2009-08-27 | Toshiba It & Control Systems Corp | Track inspecting apparatus and track inspecting method |
CN101706577A (en) * | 2009-12-01 | 2010-05-12 | 中南大学 | Method for monitoring roadbed subsidence of express way by InSAR |
CN101899845A (en) * | 2010-04-07 | 2010-12-01 | 西南交通大学 | High-speed railway settlement monitoring technology |
CN102146648A (en) * | 2011-03-14 | 2011-08-10 | 西南交通大学 | High-speed railway structure settlement monitoring device and monitoring method |
Non-Patent Citations (2)
Title |
---|
"高速铁路沉降监测方法的应用探讨";李树伟;《铁道勘察》;20111231(第6期);第16-18页 * |
洪伟嘉,柳志锡."台湾浊水溪冲积扇地表变形监测".《上海国土资源》.2012,(第2期),第47-53页. * |
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