MarketAutonomous cargo ship
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Autonomous cargo ship

Autonomous cargo ships, also known as autonomous container ships or maritime autonomous surface ships (MASS), are crewless vessels that transport either containers or bulk cargo over navigable waters with little or no human interaction. Different methods and levels of autonomy can be achieved through monitoring and remote control from a nearby manned ship, an onshore control center or through artificial intelligence and machine learning, letting the vessel itself decide the course of action.

Definition
The Maritime Safety Committee at the International Maritime Organization (IMO) has proposed a preliminary definition of autonomous ships as Maritime Autonomous Surface Ships (MASS) which includes the degrees of autonomy a ship can operate independently of human interaction: • Degree one: Ship with automated processes and decision support: Seafarers are on board to operate and control shipboard systems and functions. Some operations may be automated and at times be unsupervised but with seafarers on board ready to take control. • Degree two: Remotely controlled ship with seafarers on board: The ship is controlled and operated from another location. Seafarers are available on board to take control and to operate the shipboard systems and functions. • Degree three: Remotely controlled ship without seafarers on board: The ship is controlled and operated from another location. There are no seafarers on board. • Degree four: Fully autonomous ship: The operating system of the ship is able to make decisions and determine actions by itself. == Concepts ==
Concepts
Researchers from the University of Tromsø have proposed different concepts on how semi-autonomous and fully autonomous sailing might be organized. == Technology ==
Technology
Autonomous ships achieve autonomy by the use of technologies similarly found in autonomous cars and autopilots. Sensors provide data with the help of infrared and visual spectrum cameras supplemented by radar, sonar, lidar, GPS and AIS which will be able to supply data for navigational use. Other data such as meteorological data and deep-sea navigation and traffic systems from onshore locations will help the vessel plot a safe course. The data would then be processed by artificial intelligence systems either on board the vessel itself or at an onshore location, proposing an optimal route and decision pattern. The data from sensors listed above are processed by several systems, that is, autonomous navigation system, optical surveillance and analysis system, coordinated motion control system, engine controls, technical monitoring systems and human interfaces (remote control station and interfaces onboard). == Potential benefits ==
Potential benefits
Operational safety A study by Allianz in 2018 estimated that between 75% and 96% of maritime-related accidents are caused by human error, due to employee fatigue, personal judgement errors, negligence and/or inadequate training. Human error caused a reported 2,712 casualties in 2018, and cost $1.6 billion in losses from 2011 to 2016; cargo ships accounted for 56% of all vessels lost. Working on deck, for example during mooring operations, is estimated to be 5 to 16 times more dangerous than jobs onshore. Several argue that the introduction of fully autonomous and semi-autonomous ships will reduce the number and severity of these accidents due to both a lack of crew on board and the better performance that autonomous systems deliver. Reduction of costs According to a study carried out by the Technical University of Denmark, it is estimated that an onboard crew member costs in the form of salaries, insurances and on-board provisions around 1 million DKK or $150,000 annually, with crew costs typically accounting for around 20–30% of the total cost for a cargo ships journey. Semi-autonomous or fully autonomous ships can potentially reduce and eliminate these costs, creating an incentive for shipping companies who strive for cost reduction in an increasingly competitive market. Autonomous ships may however increase onshore costs in the form of large upfront investments and upkeep of control and operations centers, sensors, data servers and communication assets such as high-bandwidth satellites. Energy efficiency and environmental impact The removal of human crews would allow the construction of ships without ship facilities needed for human operation such as the bridge or for human livability such as sleeping quarters, plumbing, mess hall and electrical wiring, reducing weight and increasing reliability. This would allow autonomous ships to be built lighter and use less of its size for the crew, reducing fuel consumption and environmental impact. == Potential challenges ==
Potential challenges
Reliability Currently most crews on board commercial cargo ships primarily consist of navigational officers and engine crews who maintain the ship's propulsion machinery, auxiliary machinery, generators for procuring electricity, separators, pumps, cooling system. These systems are often quite complex and require regular maintenance. Increasing redundancy is seen as the solution, either by having two engine systems or by using different propulsion methods that contain fewer moving parts such as electricity on . yet some argue that work is going too slow as advances are being made and autonomous ships already being prepared to be launched. As of 2021, Maritime Safety Committee, Legal Committee, Facilitation Committee, and Marine Environment Protection Committee of the International Maritime Organization conducted Regulatory Scoping Exercise for the use of MASS. There are states which already developed and implemented their national regulation on MASS. Among them, the Russian Federation adopted Government Decree No 2031, “On Carrying Out the Trials of Autonomous Ships Flying the State Flag of the Russian Federation”, “Guidelines on COLREG application on MASS”, and developed Federal Law on legal relationship arising from the use of autonomous ships. Cyber security Cyber attacks have become an increased threat in maritime shipping, where hackers have managed to compromise systems such as AIS, using cheap jammers to spoof GPS signals and hacking into the servers of container terminals in order to get shipping manifests. The maritime industry has been criticized for not being able to keep up with technological innovation, lagging 10–20 years behind other industries and leaving computer networks insecure and open for intrusion by organized crime and state actors. Due to the increased reliance on information and communications technology in semi- and fully autonomous ships, cyber security becomes an even more serious issue that companies would need to address. On board ship controls and data might be compromised and vulnerable to cyber attacks as the autonomous ships require a constant connection to allow monitoring and control. The complexity of a ship design with various components from different providers can make it hard to detect and stop cyber attacks from occurring. If an autonomous ship would come under cyber attack, regaining control of the ship can become difficult because the lack of on-board crew that can take control manually. Specific systems and risk assessments for autonomous ships are proposed order to address this problem. Another problem is that due to increased data transmission needed to be sent back and forth between ships and onshore command centers, it increases the chances of "data swamping," where vast amounts of raw data will be produced and transmitted. To achieve more efficient use of storage and communication capacity, smart pre-processing and compression schemes are needed in order to reduce the chances of "data swamping." the transition phase will require human operation and intervention. At the moment, there is insufficient training for human operations involved in degrees one, two, and three of maritime autonomous surface ships, creating an insecure operational environment. The IMO’s principal regulatory convention includes an instrument titled “The International Convention on Standard of Training, Certification and Watchkeeping for Seafarers of 1978” that outlines the minimum standards of competence required for human operators. The STCW Code was last amended in 2018, Positions such as unmanned vessel operators, autonomous ship supervisors, and watch officers are in high demand, however, the problem of nonstandardized training procedures must be resolved to be able to ensure that these individuals have a deep understanding of all of the capabilities, as well as limitations, of the autonomous and non-autonomous systems. However, as cyber incidents increase in volume, their management has the potential to affect the fitness of manned and autonomous ships. == See also ==
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