A Real-Time Location-Based Services System Using WiFi Fingerprinting Algorithm for Safety Risk Assessment of Workers in Tunnels. (17th April 2014)

• Record Type: Journal Article
• Authors: Lin, Peng; Li, Qingbin; Fan, Qixiang; Gao, Xiangyou; Hu, Senying
• Other Names: Lei Ying Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2014(2014)
• Publication Date: 2014-04-17
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2014/371456
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : This paper investigates the feasibility of a real-time tunnel location-based services (LBS) system to provide workers' safety protection and various services in concrete dam site. In this study, received signal strength- (RSS-) based location using fingerprinting algorithm and artificial neural network (ANN) risk assessment is employed for position analysis. This tunnel LBS system achieves an online, real-time, intelligent tracking identification feature, and the on-site running system has many functions such as worker emergency call, track history, and location query. Based on ANN with a strong nonlinear mapping, and large-scale parallel processing capabilities, proposed LBS system is effective to evaluate the risk management on worker safety. The field implementation shows that the proposed location algorithm is reliable and accurate (3 to 5 meters) enough for providing real-time positioning service. The proposed LBS system is demonstrated and firstly applied to the second largest hydropower project in the world, to track workers on tunnel site and assure their safety. The results show that the system is simple and easily deployed.