A system for underground road condition monitoring

• Main Authors: Max Åstrand, Erik Jakobsson, Martin Lindfors, John Svensson
• Format: Article
• Language: English
• Published: Elsevier 2020-05-01
• Series: International Journal of Mining Science and Technology
• Subjects: Localization; Road condition monitoring; Scheduling; Underground mining
• Online Access: http://www.sciencedirect.com/science/article/pii/S209526861930463X

Poor road conditions in underground mine tunnels can lead to decreased production efficiency and increased wear on production vehicles. A prototype system for road condition monitoring is presented in this paper to counteract this. The system consists of three components i.e. localization, road monitoring, and scheduling. The localization of vehicles is performed using a Rao-Blackwellized extended particle filter, combining vehicle mounted sensors with signal strengths of WiFi access points. Two methods for road monitoring are described: a Kalman filter used together with a model of the vehicle suspension system, and a relative condition measure based on the power spectral density. Lastly, a method for taking automatic action on an ill-conditioned road segment is proposed in the form of a rescheduling algorithm. The scheduling algorithm is based on the large neighborhood search and is used to integrate road service activities in the short-term production schedule while minimizing introduced production disturbances. The system is demonstrated on experimental data collected in a Swedish underground mine.