Industry Analysis|Prospects and Risks of AI Application in Shipping Industry

Release time：2024-08-15click：7

On November 30, 2022, the U.S. Open Artificial Intelligence Research Center (Open AI) launched the generative language model Chat GPT. On February 27, 2024, Open AI launched Sora, a large artificial intelligence video model. Users only need to express their thoughts and needs to Sora to generate the videos they want. The release of Sora means that the generative model is in vertical, Direct application of specific scenarios. The more specific and vertical the scenario, the better the content generated can meet user needs. The extraordinary capabilities of artificial intelligence (hereinafter referred to as: AI) represented by generative large model technology are expected to completely change traditional industries, triggering discussions and thinking about AI applications in various industries.

The reason why AI can stand out from traditional computer software is its ability to learn and adapt to tasks, and can analyze search history, market consumption trends and shoppers’ consumption habits. , giving personalized suggestions, thus improving the efficiency of the industry. McKinsey & Company defines AI as: Artificial intelligence is the ability to use machines to perform cognitive functions similar to those of the human brain, such as perception, reasoning, learning, interacting with the environment, solving problems, and even exercising creativity. In February 2024, BRITANNIA P&I published an article titled THE USE OF AI IN SHIPPING, trying to look forward to the application of AI in the shipping industry.

STEM science has a limited impact on the shipping industry in the public mind. In fact, as far as current technology is concerned, AI can be used in unmanned ship driving and routes related to the shipping industry. Optimization, design of ship maintenance plans, cargo management, logistics management optimization, port operation management, communication and navigation services, market forecasts, etc. It is foreseeable that in the near future, AI will play a more important role in the shipping industry. Examples are as follows ：

　Security Behavior Analysis

< div> Currently, all ships are equipped with CCTVmonitoring system, which can analyze thousands of ships through AI Monitoring data can be analyzed to identify matters that need to be improved on the ship, such as whether the crew complies with relevant working procedures and wears appropriate protective equipment when working on the deck. AI analysis can effectively improve the safety culture on board the ship and provide targeted safety suggestions.

　Ship collision avoidance

By installing infrared, cameras, radar and ship steering Using existing equipment and other equipment, AI can conduct indiscriminate monitoring of the water environment in the ship's navigation area, and provide specific navigation suggestions based on the driver's age and driving habits, reducing the driver's workload and human effort to a certain extent. Mistakes.

　Fire detection

Current ship fire detection relies on the fire detection and alarm device installed on the ship. Once the ship's ambient temperature or smoke concentration exceeds the threshold, an alarm is triggered. Obviously, this kind of alarm is not foreseeable. The AI-based fire detection system can monitor fires through real-time observation of scenes transmitted by on-site cameras. At the same time, AI can simulate the environment where fires occurred in history to make high-precision predictions about the possibility of potential fires. , thereby ensuring the safety of crew and ship to the greatest extent.

　Route optimization

AI can collect sea conditions, ocean currents and weather information in real time, and design the best navigation route based on the performance and working conditions of the ship, thereby saving fuel and reducing carbon emissions.

　Cargo Management

Concealed and misdeclared dangerous goods in containers are one of the important causes of fires on container ships. AI can compare cargo documents, container weights, dimensions and logistics information, and determine the concealed and misdeclared dangerous goods. , providing reference for the supervision of relevant personnel.

Of course, everything has two sides. While the introduction of AI to the shipping industry brings many conveniences, it will also bring many problems. Examples are as follows:

　NetworkSecurity Issues

Cyber security issues are one of the most common problems faced by the introduction of AI. Once the AI system is attacked, it will cause system paralysis or give wrong suggestions. Shipping Companies should strengthen network security management and design emergency plans to prevent network attacks targeting AI settings.

　Data security issues

The accurate judgment of AI depends on the accuracy of data and repeated training. Therefore, ensuring the reliability of data obtained by AI is crucial to training a safe and reliable large model. This requires AI developers to strictly screen the data to ensure the accuracy of the data. accuracy.

　Privacy Issues

The training and cultivation of AI requires the input of a large amount of real-time data, which also means that real-time data of the ship needs to be collected through cameras. Some private data of the crew will inevitably be uploaded to the server, which requires appropriate data collection during data collection. Handle the relationship between personal privacy and artificial intelligence data to ensure that data collection meets legal and security requirements.

In fact, the development of AI is still in its infancy, but the superpowers it has shown have shocked related industries, and its full potential is still unpredictable. But it is obvious that the development of AI will be an unstoppable trend, and the shipping industry will also be brought into this change. The development of AI will bring a series of labor, technology, costs and potential risks to the shipping industry. Challenges, but no matter what, we have no choice but to embrace this innovative technology.

The article only represents the author’s personal opinion

Contributor | Li Wei

Editor | Liu Yufei
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Review | Shen Jiaqiang, Dong Yiyi, Li Donglin

Original title: Prospects and risks of AI application in the shipping industry