posted on 2022-08-30, 14:57authored byAdmir Kaknjo
This thesis provides an overview of research work in the domains of marine sensing and
underwater robotics. The main aim of the study is to investigate the challenges and
requirements that are imposed on a communication channel in the application of
permanently deployed underwater robots, i.e., in the growing field of underwater resident
robots, with an emphasis on signal and video latency measurement in Remote Operating
Vehicle (ROV) systems where short or minimum latency is necessary for pilot in the loop
control of the ROVs based on camera feed. The work starts with the analysis of the ways
to expand the role of conventional marine sensing platforms from tasks such as data
logging and telemetry to the inspection, repair, and maintenance (IRM) of underwater
structures. The proposed way of achieving this is by integrating an ROV into a marine
sensing platform. However, in order to achieve the goal of having a permanently deployed
robot that can reliably conduct remotely controlled operations, the low-latency, high
bandwidth and secure communication channel between the remote deployment site, i.e.,
the robot, and a pilot is a must. Until recently, these requirements could be met only in
operations where an ROV is deployed from a ship and is connected to the control site via
umbilical cable. However, in the last decade, a considerable effort has been made by
several companies to enable high-bandwidth global Internet coverage by launching
constellations of mini-satellites. This would bring the high-bandwidth Internet
connectivity to remote areas where, until recently, only low–bandwidth data connectivity
was possible. Using the Internet as a communication channel in a system with real-time
requirements poses a threat to control system stability due to the stochastic component of
the Internet connection. Another challenge that arises is the exposure of the connected
robot to various network attacks. This can be solved only by providing security for the
data that is transmitted to and from the robot over the Internet. For these reasons, the focus
of this work is on exploring the effects of latency of control signal and video stream on
the controllability of the robot over the Internet. The software and hardware apparatus,
with the purpose of data and video latency measurement, was developed and extensive
testing, during which the latency measurements were acquired, was conducted.
The work consists of two major parts.
The first part of the thesis is in the marine sensing platforms domain. It presents the work
conducted on the development of a novel ocean monitoring platform that could serve as
a docking station for the ROV. Low power consumption of the platform is a requirement
that was set to the design. For this reason, a solution called the event-triggering
mechanism was integrated into the platform hardware and software. The possible ways
of integrating the ROV onto the platform are presented and several use cases are stated.
The second part deals with the control signal and video stream latency measurement
results.. The goal of this work was to establish the maximum network latency that will
not impair the remote control of the ROV. For this reason, the simulation of the robot was
created and tested for different latencies. This was later compared to the results obtained
from latency measurement experiments. The work continues with expanding the latency
measurement to the video signal that is streamed from the robot. The video is generally
the main feedback that the robot is transmitting to the pilot and having low latency is
crucial for the control. The work ends with exploring the ways of introducing security to
the system and testing the latency of the system with encryption introduced.
Funding
Vibrational Energy Transfer and Shock Waves in Molecular Materials