Technology for general inspection of railway tunnels
All tunnel section Every 2 years Inspection calling for manpower Visual surveys
1) Image scanning system of tunnel lining using line-sensor CCD camera
Hammering tests
2) Image scanning system of tunnel lining using laser beam 3) Tunnel lining inspection system using Multi‐path array radar 4) Database of maintenance information 5) Tunnel diagnosis system
Railway Technical Research Institute
Image scanning system of tunnel lining using line-sensor CCD camera (JR Central, RTRI)
Developed image Railway Technical Research Institute
11
Database of maintenance information
Railway Technical Research Institute
12
Database of maintenance information
Record and save inspection data as electronic data with design, construction and countermeasure information - Easy to refer information on site - Reduce paperwork at office
Structures maintenance (RTRI) system
Tunnel maintenance system (TuMas) (JR- West) JR- West 2001-
Private and public railway operators (2005-)
-Sharing of information DB server
Head office
Network
クリック
Dimensional record
Field Network ・・・・
Client (Software for office) Office
参照
Anomaly developed diagram
Download of investigation data LAN
台帳選択 検索
選 択
Drawing record
・・・・
Upload of investigation data Terminal for inspection (Software for inspection work) Railway Technical Research Institute
13 Nov 2012 CSIC‐JSPS International Symposium
管理データ 検査データ
DB server
13
Document record 設計計算書 協定書 用地 等
リンク
Picture record
Construction record
Inspection record
Terminal Railway Technical Research Institute
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4
2012/12/3
Tunnel Diagnosis system (TUNOS) Inspection records
(RTRI, YBC, Detection of cracks Fujikura Kasei Co.) with electric conductive paint Electric Conductive Paint
Electric conductible paint
E le c tr ic c o n d u c t ib le p a in t
(RTRI, YBC, Detection of cracks Fujikura Kasei Co.) with electric conductive paint
Crack monitoring system
P i s h a p e d s tr a in g a u g e
40 m m
Increment of electric resistance
Concrete surface
- Accuracy of deformation occurring position : ±20cm - Accuracy of strain ± 50-100μ, Crack width: 0.3mm 19
Electric Conductible Paint
Crack
40 m m
160 m m
Device
Load P L oad
Circuit
5000
抵抗値(Ω)
4000
Occurrence of cracks
Electric Conductive paint
3000
Measurement box
Model Test
2000
Characteristics of method
1000 0 0
0.1
0.2
0.3 0.3
1. Simple and accurate detection 2. Real‐time monitoring 3. Cost reduction
0.4
Crack width (mm) ひび割れ幅(mm)
Railway Technical Research Institute
13 Nov 2012 CSIC‐JSPS International Symposium
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Railway Technical Research Institute
21
6
2012/12/3
Monitoring system with wireless sensor network
Monitoring system with wireless sensor network
(RTRI)
(RTRI)
Monitoring at actual tunnel Sensor Node
Crack gauge
Crack gauge/End device
Crack width
Temperature
End device
ZigBee-Pro(2mW) Coordinator
Recorder
Small size and light weight (10cmX10cmX3.5cm)
Railway Technical Research Institute
Monitoring system with wireless sensor network
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26
18 months Date
Railway Technical Research Institute
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(RTRI)
How are the signals transmitted for a long distance? Sensor node
Sensor node
Proposed
Smart maintenance of railway structure
ZigBee Coordinator
Coordinator
Router
PC
393 m
137 m 530 m in total
End device Router Battery box Coordinator
13 Nov 2012 CSIC‐JSPS International Symposium
Crack gauge
24
7
2012/12/3
Smart maintenance of railway structure
Smart maintenance of railway structure It is important to combine various monitoring system.
Sensors for real-time monitoring Sensor A (for Tunnel) Sensor B (Steel bridge) Sensor C (RC viaduct) : : Sensors for abnormal situation
Procedure1 Procedure2 Procedure3 : :
Railway Technical Research Institute
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Smart maintenance of railway structure
Combined management and database system
Transmission method
Sensor H (for foundation) Sensor I (for tunnel /bridge) Sensor J (for station) : : 26
Railway Technical Research Institute
Conclusion
Data collection method The number of aged tunnels increases near future. Then, it will be more important to properly maintain the tunnels. Various smart technology has been used for the maintenance of railway tunnels. It is also important to combine the systems and to develop the data collection technology for smart maintenance of railway structures.