A Low-Cost, Flexible Pressure Capacitor Sensor Using Polyurethane for Wireless Vehicle Detection

被引:15
|
作者
Chien Khong Duc [1 ,2 ]
Van-Phuc Hoang [1 ]
Duy Tien Nguyen [3 ]
Toan Thanh Dao [2 ]
机构
[1] Le Quy Don Tech Univ, Fac Radioelect Engn, 236 Hoang Quoc Viet St,Co Nhue 1 Ward, Hanoi 100000, Vietnam
[2] Univ Transport & Commun, Fac Elect Elect Engn, 3 Cau Giay St, Hanoi 100000, Vietnam
[3] Univ Transport & Commun, Fac Civil Engn, Lang Thuong Ward, 3 Cau Giay St, Hanoi 100000, Vietnam
关键词
flexible pressure sensor; polyurethane polymer; wireless data acquisition (DAQ); non-intrusive monitoring; vehicle detection; PAVEMENT;
D O I
10.3390/polym11081247
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
Detection of vehicles on the road can contribute to the establishment of an intelligent transportation management system to allow smooth transportation and the reduction of road accidents. Thus far, an efficient and low-cost polymer flexible pressure sensor for vehicle detection is lacking. This paper presents a flexible sensor for vehicle sensing and demonstrates a wireless system for monitoring vehicles on the road. A vehicle sensor was fabricated by sandwiching a polyurethane material between aluminum top/bottom electrodes. The sensing mechanism was based on changes in capacitance due to variation in the distance between the two electrodes at an applied external pressure. A clear response against a pressure load of 0.65 Mpa was observed, which is the same pressure as that of the car tire area in contact with the road. Significantly, the sensor was easy to embed on the road line due to its mechanical flexibility and large size. A field test was carried out by embedding the sensor on the road and crossing the sensor with a car. Moreover, the signal displayed on the tablet indicated that the sensing system can be used for wireless detection of the axle, speed, or weight of the vehicle on the road. The findings suggest that the flexible pressure sensor is a promising tool for use as a low-cost vehicle detector in future intelligent transportation management.
引用
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页数:12
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