Abstract:
People have motivated to travel on passenger vessels due to its benefits, like costeffective
and availability. However, it is necessary to consider random weather
conditions and technical issues to overcome the distress condition on the water.
Hence, guided navigation-enabled life/rescue boats are the most appropriate solution
to address the above situation. GMDSS, like safety management systems, supports
only the passenger vessels or ships which are going via open oceans and work in
distress situations with a passenger capacity is more than 12. The proposed system
has given a solution to rescue boats with GIS-enabled “guided self-driven” till
lifeboats reaching to a pre-decided destination. The control layer (control centre)
coordinates the entire rescue session by communicating with the lifeboat via the boat
unit fixed into the life boat/s. Moreover, this layer operates over an ITS system with
an API, which functions over the establishment of the links between various units of
the system and their functions, like weather forecasting and two-way communication,
to take appropriate decisions for the boats during the rescue session. GPS unit and an
application embedded terminal have been made up with Raspberry Pi-4 circuit board
installed Raspberry PiLite-OS. The web application built with GIS visualization maps
will provide live guidance to rescue boats. Boat unit integrate over the Intraoperative
layer and provide positioning, communication, and identification of individual boat
units within GPS satellites and a maritime Internet connection (Inmarsat Satellite or
GSM). Real-time motions and boat unit tracing will be filtered with a Bayesian
process (Wt = AW t-l + Y't) to generate the most accurate positioning. Thus this study
has focused on giving a solution to the rescue session of the distressed vessel using
lifeboats to save human lives in a centrally controllable system.