CN104636997A - Rapid subway construction risk assessment method based on Kalman filtering method - Google Patents
Rapid subway construction risk assessment method based on Kalman filtering method Download PDFInfo
- Publication number
- CN104636997A CN104636997A CN201310554844.6A CN201310554844A CN104636997A CN 104636997 A CN104636997 A CN 104636997A CN 201310554844 A CN201310554844 A CN 201310554844A CN 104636997 A CN104636997 A CN 104636997A
- Authority
- CN
- China
- Prior art keywords
- data
- risk assessment
- subway
- kalman filtering
- server
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000001914 filtration Methods 0.000 title claims abstract description 28
- 238000012502 risk assessment Methods 0.000 title claims abstract description 23
- 238000010276 construction Methods 0.000 title abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000001514 detection method Methods 0.000 claims abstract description 11
- 238000011156 evaluation Methods 0.000 claims description 13
- 230000004927 fusion Effects 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 238000006073 displacement reaction Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 238000007500 overflow downdraw method Methods 0.000 claims description 3
- 230000003014 reinforcing effect Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 abstract 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012549 training Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 238000009412 basement excavation Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 208000035126 Facies Diseases 0.000 description 1
- 241001074085 Scophthalmus aquosus Species 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 239000011449 brick Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000034994 death Effects 0.000 description 1
- 231100000517 death Toxicity 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 230000003116 impacting effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 230000000116 mitigating effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 230000005641 tunneling Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a rapid subway construction risk assessment method based on a Kalman filtering method. The rapid subway construction risk assessment method is characterized by including that multi-element sensors are arranged in a subway site to transmit detection data to an on-site subway data collection server in a wired or wireless manner, the transmitted data from the multi-element sensors are filtered by the on-site subway data collection server, and then the filtered detection data are transmitted to a risk assessment server; the detection data transmitted by the on-site subway data collection server are classified and integrated by the risk assessment server, and then the classified and integrated detection data are converted into a data array applicable to computation of the Kalman filtering method; the detection data in the data array are subjected to risk assessment by the Kalman filtering method by the risk assessment server, the risk assessment results are transmitted to a computer of an inspecting and monitoring center by the risk assessment server, and then the risk assessment results are further processed by the a central processing unit of the computer. The rapid subway construction risk assessment method based on the Kalman filtering method has the advantages of convenience in use, high processing speed, easiness in technique realizing and the like.
Description
Technical field
The present invention relates to a kind of subway work risk fast evaluation method based on Kalman filtering method.
Background technology
The time in early stage of building subway is longer, due to needs planning and government's examination & approval, even also needs test.From ferment that putting into practice breaks ground and need the time grown very much, short then several years, the long then more than ten years are also possible.Due to the structure of subway, and cause very easily because these factor generation tragedies.The construction of subway is divided into: 1, the simplest directly method of open cut backfill is bright cut and fill (open cut backfill).Hollow place is excavated in general Shi street to this method, then builds tunnel structure below, just road surface is spread again after there are enough supporting forces in tunnel.Except road is opened by pick, other underground structures such as electric wire, telephone wire, water pipe etc. all need to reconfigure.The material building this tunnel is generally concrete or steel, but older system also has and to use fragment of brick and iron.2, brill digs method: another kind of method first digs a vertical shaft in somewhere, ground, then at shaft bottom tunneling.Modal method is for using drilling and digging machine (shield machine, shield machine), and one side is excavated one side and preprepared assembly is arranged in tunnel wall.For the place that depth of building is intensive, bore the method for construction digging method or even unique feasible.The advantage Shi Dui street of this method or the impact of other underground installations very little, even can build at the bottom; The design in tunnel also has more writing space, such as station can than station and station between tunnel higher, help train leaving from station time accelerate and enter the station time slow down.But this method of digging neither be impeccable, one of them often needs to pay attention to underground water mitigation; In addition at some harder rock stratum excavation, explosive may be needed.Underground air supply problem even tunnel cave also likely causes workman's injures and deaths.In addition, for the place that building height is intensive, during excavation except will noticing and avoiding impacting the building structure of building site surrounding, the public utilities at place sometimes also to be planned as a whole, the water delivery at the bottom of ground, the migration of transmission of electricity pipeline, to make way to build passage of train.
So just can see the importance drawing preliminary preparation, and this most important thing is exactly site reconnaissance work, whether the data of exploration are accurate, very large on the impact of design and construction.Along with the development of electronic devices and components, the precision of sensor increases substantially, and existing exploration level has accomplished the degree that single parameter error is ignored.But, geology actual state, usually by composite factor shadow, carries out simulation modelling with regard to needs to different geological condition like this, and the data of collection are as the training data of model and analysis data, the accurate model of final acquisition, then change geologic parameter, checking arrangement and method for construction, this process need is analyzed one by one to contingent situation, checking is trained one by one by the parameter of model to change, do degree of accuracy so high, practical operation is effective, but the cycle is oversize.
Information fusion is that the Incomplete information of multiple support channels, multi-faceted collection is in addition comprehensive, eliminates the information of redundancy and the contradiction that may exist between multi-source information, and in addition complementary to it, reduces the process that its uncertain system environment facies describe complete consistance.Information fusion can improve the decision-making of intelligent system, planning, the rapidity of reaction and positive plan risk, and being a cross discipline relating to information science, computer science and robotization science, is the important directions that current information society must be studied.The generation of multisource information fusion technology improves the accuracy of intelligent system decision-making, reduces risk of policy making.The high scheme of construction risk is tentatively got rid of by information fusion, retain the arrangement and method for construction that feasibility is higher, and then by training checking one by one above by the parameter of model to feasible scheme, doing like this and guaranteeing that degree of accuracy is high, raise the efficiency simultaneously, reduce proving period in early stage.
Kalman filtering method Kalman filtering is mainly used in merging low level dynamic multisensor redundant data in real time.For subway work risk rapid evaluation provides technical support.
Summary of the invention
The present invention is directed to the proposition of above problem, and development is based on the subway work risk fast evaluation method of Kalman filtering method.The technical solution used in the present invention is as follows:
Based on a subway work risk fast evaluation method for Kalman filtering method, it is characterized in that comprising the steps:
1) detection data are transferred to subway on-site data gathering server by wired or wireless mode by on-the-spot multielement bar of laying, subway on-site data gathering server carries out filtration treatment to multielement bar returned data, then the data after process is sent to risk assessment server;
2) risk assessment server is classified to the detection data that the transmission of subway on-site data gathering server is returned and integrates, and is converted to the data array being suitable for Kalman filtering method calculating fusion;
3) then risk assessment server adopts Kalman filtering method fusion method to carry out risk assessment process to above-mentioned data, concrete processing procedure comprises: the statistical property recursion of the method measurement model, determine the optimum fusion under statistical significance and data estimation, if system has linear kinetic model, and the error of system and data meets Gaussian noise model, then the optimal estimation that will provide for fused data under unique statistical significance of Kalman filtering;
4) risk rapid evaluation result is issued test and monitoring central computer by ultimate risk evaluating server, is for further processing by computer center's processing unit.
Also comprise in step 3):
When adopting multiple Kalman filter to carry out data statistics to multi-group data.
Described scene is laid multielement bar and is comprised displacement meter, taseometer, ventage piezometer, reinforcing rib meter, pressure cell and flowmeter.
Based on the subway work risk fast evaluation method of Kalman filtering method, to on-the-spot returned data fusion treatment, tentatively get rid of the scheme that construction risk is high, retain the arrangement and method for construction that feasibility is higher, and then by training checking one by one above by the parameter of model to feasible scheme, do like this and guarantee that degree of accuracy is high, raise the efficiency simultaneously, reduce proving period in early stage.The method also has in addition: easy to use, processing speed, technology realize the feature such as easy and be suitable for extensive popularization.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of system of the present invention;
Fig. 2 is realization flow figure of the present invention.
Embodiment
As depicted in figs. 1 and 2 based on the subway work risk fast evaluation method of Kalman filtering method, comprise the steps:
1) detection data are transferred to subway on-site data gathering server by wired or wireless mode by on-the-spot multielement bar of laying, subway on-site data gathering server carries out filtration treatment to multielement bar returned data, then the data after process is sent to risk assessment server;
2) risk assessment server is classified to the detection data that the transmission of subway on-site data gathering server is returned and integrates, and is converted to the data array being suitable for Kalman filtering method calculating fusion;
3) then risk assessment server adopts Kalman filtering method fusion method to carry out risk assessment process to above-mentioned data, concrete processing procedure comprises: the statistical property recursion of the method measurement model, determine the optimum fusion under statistical significance and data estimation, if system has linear kinetic model, and the error of system and data meets Gaussian noise model, then the optimal estimation that will provide for fused data under unique statistical significance of Kalman filtering;
4) risk rapid evaluation result is issued test and monitoring central computer by ultimate risk evaluating server, is for further processing by computer center's processing unit.
Also comprise in step 3):
When adopting multiple Kalman filter to carry out data statistics to multi-group data.
Described scene is laid multielement bar and is comprised displacement meter, taseometer, ventage piezometer, reinforcing rib meter, pressure cell and flowmeter.
The above; be only the present invention's preferably embodiment; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, all should be encompassed within protection scope of the present invention.
Claims (3)
1., based on a subway work risk fast evaluation method for Kalman filtering method, it is characterized in that comprising the steps:
1) detection data are transferred to subway on-site data gathering server by wired or wireless mode by on-the-spot multielement bar of laying, subway on-site data gathering server carries out filtration treatment to multielement bar returned data, then the data after process is sent to risk assessment server;
2) risk assessment server is classified to the detection data that the transmission of subway on-site data gathering server is returned and integrates, and is converted to the data array being suitable for Kalman filtering method calculating fusion;
3) then risk assessment server adopts Kalman filtering method fusion method to carry out risk assessment process to above-mentioned data, concrete processing procedure comprises: the statistical property recursion of the method measurement model, determine the optimum fusion under statistical significance and data estimation, if system has linear kinetic model, and the error of system and data meets Gaussian noise model, then the optimal estimation that will provide for fused data under unique statistical significance of Kalman filtering;
4) risk rapid evaluation result is issued test and monitoring central computer by ultimate risk evaluating server, is for further processing by computer center's processing unit.
2. a kind of subway work risk fast evaluation method based on Kalman filtering method according to claim 1, is characterized in that also comprising in step 3):
When adopting multiple Kalman filter to carry out data statistics to multi-group data.
3. a kind of subway work risk fast evaluation method based on Kalman filtering method according to claim 1, is characterized in that described scene is laid multielement bar and comprised displacement meter, taseometer, ventage piezometer, reinforcing rib meter, pressure cell and flowmeter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310554844.6A CN104636997A (en) | 2013-11-07 | 2013-11-07 | Rapid subway construction risk assessment method based on Kalman filtering method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310554844.6A CN104636997A (en) | 2013-11-07 | 2013-11-07 | Rapid subway construction risk assessment method based on Kalman filtering method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104636997A true CN104636997A (en) | 2015-05-20 |
Family
ID=53215707
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310554844.6A Pending CN104636997A (en) | 2013-11-07 | 2013-11-07 | Rapid subway construction risk assessment method based on Kalman filtering method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104636997A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112946779A (en) * | 2021-01-28 | 2021-06-11 | 中煤科工集团重庆研究院有限公司 | Point domain identification system and method for tunnel safety monitoring |
-
2013
- 2013-11-07 CN CN201310554844.6A patent/CN104636997A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112946779A (en) * | 2021-01-28 | 2021-06-11 | 中煤科工集团重庆研究院有限公司 | Point domain identification system and method for tunnel safety monitoring |
| CN112946779B (en) * | 2021-01-28 | 2024-02-20 | 中煤科工集团重庆研究院有限公司 | Point domain identification system and method for tunnel security monitoring |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110109895B (en) | Surrounding rock grading combined prediction method suitable for TBM tunneling tunnel and application | |
| CN111058855B (en) | Deformation control method and evaluation system for shield underpassing structure | |
| CN101914912B (en) | In-situ testing method for deep underground engineering during rockburst preparation and evolution process | |
| CN107861157B (en) | A kind of underground water seal cave depot operation phase micro seismic monitoring method | |
| CN104747184A (en) | Measurement-while-drilling method and device for three-dimensional wave velocity imaging of rock mass in front of tunnel face | |
| CN108415066B (en) | Tunnel construction geological disaster forecasting method | |
| CN110927821A (en) | BIM + GIS-based advanced geological forecast information system for tunnel construction | |
| CN108241772A (en) | Consider Tunnel Gushing method for determination of amount in the crack artesian aquifer of multiple factors | |
| CN113960695A (en) | Fine exploration method for water-rich karst in complex urban environment | |
| CN105653811A (en) | Rocked depth determining method for high voltage transformer substation deep back filled region rotary excavation drilling | |
| CN111539052B (en) | Method for formulating settlement control standard of close-distance downward-penetrating pipe-jacking tunnel in subway shield interval | |
| CN211123324U (en) | BIM + GIS-based advanced geological forecast information system for tunnel construction | |
| CN104636576A (en) | Rapid subway construction risk evaluation method based on weighted average method | |
| Khoo et al. | Geotechnical challenges and innovations in urban underground construction–The Klang Valley Mass Rapid Transit project | |
| CN103630938A (en) | Imaging system and imaging method for well earthquake using hammer head of down-hole hammer as focus | |
| CN117233861A (en) | Tunnel three-dimensional geological visualization comprehensive forecasting method | |
| CN104636511A (en) | Rapid subway construction risk evaluation method based on Dasarathy model | |
| CN104636997A (en) | Rapid subway construction risk assessment method based on Kalman filtering method | |
| CN104637020A (en) | Rapid subway construction risk assessment method based on bayesian estimation method | |
| CN214997436U (en) | Intelligent rock mass quality sensing small-sized drilling machine system | |
| CN104636998A (en) | Subway construction rapid risk assessment method based on neural network | |
| CN104636996A (en) | Subway construction rapid risk assessment method based on fuzzy logic | |
| CN104636995A (en) | Rapid subway construction risk assessment method based on JDL (joint directors of laboratories) model | |
| CN104636994A (en) | Rapid subway construction risk assessment method based on evidence reasoning method | |
| CN104637019A (en) | Subway construction rapid risk assessment method based on extension OODA model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150520 |