Sensor Failure Detection in Road Tunnel Ventilation

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VI値 VI[%] [%] 5. Illustrative Example of Sensor Failure Detection 100 80 60 40 20 Visual Inspection of Installation 取付状況の目視点検 Procedure to restore VI sensor センサ調整状況とVI計測値 Cleaning of Cleaning of Manual Transmitter/ 投受光部 Reflector リフレクタ手動校正 Calibration Receiver レンズの清掃 Lens 反射鏡の清掃 Glass 0 23:35 23:45 23:55 0:05 0:15 0:25 Time 時刻 0:35 0:45 0:55 1:05
6. Conclusions • Has presented a sensor failure detection method in routine tunnel operations. • Makes statistical comparisons between measured and predicted values based on quasi-steady approximations to air flow and pollution concentration model. Summarizing statements: • Measurements of traffic data can be used to predict evolving air velocities and pollution concentrations throughout the tunnel. • By analyzing measured data, it is possible to infer realistic approximations for values of tunnel and vehicle parameters. • The method of determining optimal values for tunnel and vehicle parameters provides quantitative statistical data about expected deviations between measured and predicted values at any sensor. • By monitoring statistical variations of measured and predicted values of sensor during actual tunnel operation, it is possible to detect significant variations from normal behavior and thus to identify instances of probable sensor failures.
Page 1 and 2: Sensor Failure Detection in Road Tu
Page 3 and 4: 1. Road Tunnel Ventilation Control
Page 5 and 6: 3. Longitudinal Ventilation Models
Page 7 and 8: 4.1 Calibration Objective is to rev
Page 9 and 10: 4.2 Statistical Nature of Measured
Page 11 and 12: 5. Illustrative Example of Sensor F
Page 13: 5. Illustrative Example of Sensor F

Sensor Failure Detection in Road Tunnel Ventilation

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