AI Unmanned Surface Vehicle Water Pollution Sensing Systems
BEIA CONSULT INTERNATIONAL
Reference Teacher: External expert TBC
Teacher(s): External expert TBC
The main objective of the course is to approach the topic of underwater sensing, with a focus on water pollution by “learning by doing” teaching methodology. This course will involve students in operational use in multiple representative environments of an artificial intelligence (AI) powered unmanned surface vehicle (USV) that is capable to perform complete suites of water quality measurements, especially E-Coli detection, in multiple types of sensitive aquatic ecosystems
N/A
The students will gain knowledge about technologies that are currently used in the field of underwater sensing, with a focus on water pollution, and about the state-of-the-art equipment used in this field by BEIA. The students will understand the applicability of the technology through images, presentations and demonstrations.
Being a theoretical but also practical course, the students will be able to put the acquired knowledge in practice during the laboratory activities. The students will gain practical abilities in detecting and analyzing water contaminants using the dedicated equipment.
The students will acquire sufficient foundational knowledge of the key pollutants and means to monitor them in order to enable them to make educated assumptions and decisions in the field of water quality monitoring.
Students will improve their ability to effectively communicate using a jargon specific to the field of water pollution. This will also enhance their teamwork effectiveness and presentation and reporting skills.
Students will enhance their independent learning abilities by participating in hands-on projects and conducting self-directed research to tackle complex tasks in the field of water pollutants monitoring. They will cultivate the capacity to continually advance their knowledge and skills in water quality sensing using USV, through iterative testing and refinement of their research capabilities.
Basic knowledge in the field of informatics and telecommunication
This course will be a theoretical but also practical course and will combine lecture, laboratory and field activities.
The students are assessed based on their performance in practical exercises.
The course will address the following content:
– Importance of Environmental monitoring
– Artificial Intelligence (AI)
– Unmanned Surface Vehicles (USVs)
– Water Sensing Technologies
– Water pollution
Related to clean water and sanitation (SDG 6), life below water (SDG 14), and innovation and infrastructure (SDG 9)
By expressing interest via official e-mail of Beia at: office@beia.ro
Course Modules: The educational material and syllabus include:
Basic knowledge on AI based predictive analytics and pollution detection and management in the field of water quality monitoring.
Unmanned Surface Vehicles (USVs) types, components and operation, and applicability in the field of water quality monitoring. Basics about data collecting and processing.
Basic knowledge about different types of underwater sensors and their functionality. Practical skills training based on the PIMEO-AI use-case.
Specialized knowledge about water pollution, its sources, impact, regulatory frameworks and standards.
Introduction to IoT devices for data collection and the integration of Ai in water quality monitoring and management.
Introduction to types of environmental data. Data collecting, storing, visualization and analyzing for various aspects of water quality monitoring.
Students will have access to online course support, and training materials. A water drone and sensors will also be made available to them for practical exercises.