Development of collision risk indicators for autonomous subsea inspection maintenance and repair |
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| Institution: | 1. Center for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, 266580, PR China;2. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, 257061, PR China;3. Department of Environment and Safety Engineering, China University of Petroleum, Qingdao, 266580, PR China;1. Department of Mechanical Engineering, Indian Institute of Technology Patna, Bihta, Bihar, 801103, India;2. Division 2.2, Reactive Substances and Systems, Federal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205, Berlin, Germany;3. Department of Mechanical Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, 400076, India;1. School of Chemical Machinery and Safety Engineering, Dalian University of Technology, Dalian 116024, China;2. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China;3. Department of Chemical System Engineering, School of Engineering, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-8656, Japan;1. Grupo de Diseño de Productos y Procesos (GDPP), Department of Chemical Engineering, Universidad de los Andes, Bogotá, Colombia;2. School of Management, Universidad de los Andes, Bogotá, Colombia;3. Centro para la Optimización y Probabilidad Aplicada (COPA), Department of Industrial Engineering, Universidad de los Andes, Bogotá, Colombia;1. Istituto di Ricerche sulla Combustione, CNR, Piazzale Tecchio 80, 80125 Napoli, IT, Italy;2. Dipartmento di Ingegneria Chimica, Mineraria e delle Tecnologie Ambientali, Alma Mater Studiorum, Università di Bologna, Via Terracini 28, 40131 Bologna, IT, Italy;3. Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, Università degli Studi di Napoli Federico II, Piazzale Tecchio 80, 80125 Napoli, IT, Italy |
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| Abstract: | The objective of this article is to present a method for developing collision risk indicators applicable for autonomous remotely operated vehicles (AROVs), which are essential for promoting situation awareness in decisions support systems. Three suitable risk based collision indicators are suggested for AROVs namely, time to collision, mean time to collision and mean impact energy. The proposed indicators are classified into different thresholds; low, intermediate and high. An AROV flight path is simulated to gather input data to calculate the proposed indicators and three collision targets are established, i.e., subsea structure, seabed and a cooperating AROV. The proposed indicator development method together with the case study show a proof-of-concept that the combination of mean time to collision and mean impact energy indicators can identify risk prone waypoints in the AROV path. The method results in an overall risk picture for a given AROV path. The results may provide useful input in replanning of mission paths and for implementation of risk reducing measures. Even though the method focuses on collision risk, it can be used for other accident scenarios for AROVs. |
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| Keywords: | Collision risk Risk indicators Subsea IMR Autonomy Planning tool Risk picture |
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