A Smart Robotic System for Industrial Plant Supervision
This addresses safety and efficiency for industrial plant operators, though it appears incremental as it integrates existing sensors and navigation methods into a practical system.
The researchers tackled the problem of human operators performing dangerous integrity checks in chemical plants by developing an autonomous robotic system that can detect methane leaks, gas anomalies, oil films, sound sources, and failures while navigating autonomously. Their evaluation at a wastewater facility showed the system robustly navigated the plant and provided useful information about critical conditions.
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.