Data Management System for a Semiautonomous Shuttle Car for Underground Room and Pillar Coal Mines

In recent years, autonomous solutions in the multidisciplinary field of mining engineering have been an extremely popular applied research topic. This is a result increasing demands society on mineral resources along with accelerating exploitation currently economically viable resources, which lead sector to turn deeper, more-difficult-to-mine orebodies. An appropriate data management system comprises crucial aspect designing and that involves or semiautonomous vehicles. The vast volume collected from onboard sensors, as well potential IoT network dispersed around smart mine, necessitates development reliable strategy. Ideally, this strategy will allow for fast asynchronous access real-time processing decision-making purposes visualization through corresponding human–machine interface. proposed has developed navigation coalmine shuttle car implemented 1/6th scale mock mine. It three separate nodes, namely, collection node, node. approach was dictated by large amount need ensure uninterrupted flow. implementation SQL database server allows asynchronous, real-time, management, including storage retrieval. On other hand, introduces latencies between node two nodes. general, these include sensor latencies, latencies. However, module able retrieve process latest make decision about next optimal movement prototype less than 900 ms. navigate efficiently pillars without interruptions.