Implementing Ubiquitous Computing for Remote Monitoring of Marine Infrastructure in Harsh Environments
In marines’ infrastructure, corrosion alongside extreme pressures and wave activities are some of the chief problems about the subsea pipelines and offshore platforms. This paper outlines a new approach to remote monitoring and management of infrastructure using ubiquitous computing to allow for real-time tracking of infrastructure. The proposed architecture integrates a distributed sensor network comprised of intelligent sensors, edge computing units, wireless communication interfaces, and cloud services dedicated to remote monitoring and control. The efficient machine learning models implemented greatly aid in the identification of potential system risks, ensure advanced tracking, and maintain a proper maintenance schedule so that minimal physical interactions are made. With the system awareness greatly increased, marine operations are more favorable regarding efficiency, safety, and sustainability. Ensured remote operation under harsh conditions guarantees reliability when it matters most and optimized energy use along with secure data transmission counteracts the risks of data misuse.