Detection, Localization and Analysis of Oil Spills in Water Through Wireless Thermal Imaging and Spectrometer Based Intelligent System

Abstract

In this study, a marine robotic system is designed to locate and to quantify the surface water pollution in lakes and ponds with the consideration of the influences of neighboring buildings and trees. The proposed system consists of an aerial robot and a marine robot, which are actuated by pattern recognition at the base station with safe path planning. In the designed system,on quadrotor a Forward Looking Infra Red (FLIR) thermal imaging camera is employed to spot oil spills following a neural network method, while a wireless digital camera is used to identify the apropos path by imparting edge detection techniques. The surrounding buildings and trees dysfunction the digital camera's reflectivity, thereby disparate from optimal path planning. To dwindle the experimental impediment, the Voronoi algorithm is employed by fractionating the experiment's domain into small sub-sections. After that, Dijkstra's algorithm is considered to assure the optimal path planning from the starting point to the target. Fuzzy logic is introduced to direct boats towards the target. Global positioning system (GPS), sonar and navigation sensors based boat follow the trajectory defined by the aerial robot towards target point and take samples for quantification test through the spectrometer. These results then sent to the base station for pattern recognition using neural networks. Such systems can efficiently and effectively navigate the water pollution problems as disaster response.

HMDCS-UV: A concept study of Hybrid Monitoring, Detection and Cleaning System for Unmanned Vehicles

“…Once the operation has begun, the ASVs tow the dam towards the target, minimizing the towing effort, close to the target that the ASVs deploy and advance, and finally approach, confined to the spill; then the drive moves to the destination. Another marine robotics system was designed in [19] to locate and quantify surface water (oil-based) pollution in lakes and ponds using aerial and marine robots, taking into account the influences of nearby buildings and trees. An aerial mobile robot equipped with two cameras such as the FLIR (Forward Looking Infra-Red) thermal imaging camera to locate and detect oil spills based on water temperature day and night, and a digital camera for trajectory planning.…”

“…This solution applies an unsupervised classification method of natural / satellite image processing (K-means clustering) such as the UAV developed in [22] which makes it possible to monitor an oil platform using a camera and a LiDAR sensor for navigation and collision avoidance, and a GPS to map the spill area. The aerial mobile robot of [19], for example, is equipped with two cameras, a FLIR thermal imaging camera to locate and detect oil spills, and a digital camera to plan the route. In addition, the authors of [21] have introduced algorithms for the detection of oil spills using MIMO radar remote sensing integrated on a drone.…”

“…Current oil spill recovery and cleaning technology includes many techniques (physical and / or chemi-cal actions) such as controlled combustion, solidifiers (absorbents), skimming, oil oxidation, manual recovery, dispersion, bioremediation / biodegradation, etc. which are largely limited by marine conditions [19,20]. While these treatments are important to rapidly control the spread and drift of oil, they are not suitable for ecological restoration.…”