IoT technology and big data processing for monitoring and analysing land subsidence in Central Taiwan

Over 1992–2018, groundwater overexploitation had caused large-scale land subsidence in the Choshui River Alluvial Fan (CRAF) in Taiwan. The Taiwan High Speed Railway (THSR) passes through an area of severe subsidence in CRAF, and the subsidence poses a serious threat to its operation. How to effectively monitor land subsidence here has become a major issue in Taiwan. In this paper, we introduce a multiple-sensor monitoring system for land subsidence, including 50 continuous operation reference stations (CORS), multi temporal InSAR (MT-InSAR), a 1000 km levelling network, 34 multi-layer compaction monitoring wells and 116 groundwater monitoring wells. This system can monitor the extent of land subsidence and provide data for studying the mechanism of land subsidence. We use the Internet of Things (IoT) technology to control and manage the sensors and develop a bigdata processing procedure to analyse the monitoring data for the system of sensors. The procedure makes the land subsidence monitoring more efficient and intelligent.

Development of cognitive vehicle assistance and driver safety control management

In this paper we present new approach for automobiles safety driving system involving the multiple sensor monitoring an area around vehicle and conveying alert the driver. There is some distance between two vehicles if apply break we can lose the control our vehicle. The proposed system works like that it has the four Ultrasonic sensors are fixed four sides of car they will detect the cars and obstacles within in the monitored area based on how much distance they are near to car and alert the driver via leds.an alcohol sensor fixed in the steering if he driver drink alcohol it will detect and switch off the vehicle ignition. The IR sensor monitors the eye blinks the driver. If the driver sleeps it makes ring the buzzer.