A Smart Robotic System for Industrial Plant Supervision

• URL: http://arxiv.org/abs/2308.05612v2
• Date: Fri, 1 Sep 2023 15:50:30 GMT
• Title: A Smart Robotic System for Industrial Plant Supervision
• Authors: D. Adriana G\'omez-Rosal, Max Bergau, Georg K.J. Fischer, Andreas Wachaja, Johannes Gr\"ater, Matthias Odenweller, Uwe Piechottka, Fabian Hoeflinger, Nikhil Gosala, Niklas Wetzel, Daniel B\"uscher, Abhinav Valada, Wolfram Burgard
• Abstract summary: We present a system consisting of an autonomously navigating robot integrated with various sensors and intelligent data processing. It is able to detect methane leaks and estimate its flow rate, detect more general gas anomalies, localize sound sources and detect failure cases, map the environment in 3D, and navigate autonomously.
• Score: 16.68349850187503
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In today's chemical plants, human field operators perform frequent integrity checks to guarantee high safety standards, and thus are possibly the first to encounter dangerous operating conditions. To alleviate their task, we present a system consisting of an autonomously navigating robot integrated with various sensors and intelligent data processing. It is able to detect methane leaks and estimate its flow rate, detect more general gas anomalies, recognize oil films, localize sound sources and detect failure cases, map the environment in 3D, and navigate autonomously, employing recognition and avoidance of dynamic obstacles. We evaluate our system at a wastewater facility in full working conditions. Our results demonstrate that the system is able to robustly navigate the plant and provide useful information about critical operating conditions.

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