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Cloud monitoring system of tunnel groups for traffic safety
MA Qinglu, ZOU Zheng
Journal of Computer Applications    2019, 39 (5): 1490-1494.   DOI: 10.11772/j.issn.1001-9081.2018102121
Abstract392)      PDF (850KB)(454)       Save
Some defects exist in traditional management systems of highway tunnels, such as decentralized and independent management, lack of flexibility in each-part monitoring and low degree of visualization of disease details. Aiming at these problems above, a regional joint control and measurement concept of tunnel groups for traffic safety was proposed. Firstly, the scattered monitoring data of tunnels were integrated into a cloud database to realize the management of tunnel group. Secondly, a "division/combination" segmental monitoring method was designed to monitor the diseases at any position of tunnels. Thirdly, on the basis of GIS (Geographic Information System) map, JSP (Java Server Pages) technology and CANVAS technology, a visualized monitoring platform of disease monitoring of tunnel group for traffic safety of road network was established. Finally, the monitoring data were analyzed and processed real-timely and classified pre-warning of tunnel safety status was realized, so that traffic safety of road network could be judged. Experiments were carried out on the data set of tunnel diseases in a certain area. The results show that the proposed system realizes the functions such as tunnel group management, disease details visualization and tunnel safety classification; meanwhile, the system also has certain pre-warning ability for traffic safety of road network.
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