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Artificial intelligence leads the ship industry revolution

A new round of industrial transformation has swept the world, and artificial intelligence has become the core direction of a new round of industrial transformation. Nowadays, more and more traditional manufacturing companies are using artificial intelligence as a new driving force for the development of new and old kinetic energy, and constantly create new development opportunities.

The combination of artificial intelligence technology and technologies such as the Internet of Things and big data analysis can optimize the ship construction process, improve the efficiency of ship construction, and better realize intelligent manufacturing.

Artificial intelligence technology is the technology that is most likely to bring a new wave of industrial revolution after steam engine, electric power and Internet technology. With the explosion of data accumulation, new algorithms based on neural network models and the promotion of more powerful and lower-cost computing power, the application scenarios of artificial intelligence technology are gradually becoming clear in various industries, and the actual cost reduction and efficiency increase commercial value. At present, the shipbuilding industry urgently needs to reduce costs and increase efficiency, and the development of artificial intelligence technology will have a subversive impact on the future development of the shipbuilding industry.

artificial intelligence

 Ushering in a new wave of development

Artificial intelligence is a general term for using computer to simulate the science of human intelligent behavior. It covers the training of computers to enable them to complete the scope of human behavior such as self-learning, judgment, and decision-making. The concept of artificial intelligence consists of three levels of content: artificial intelligence, machine learning, and deep learning.

Under the combined efforts of various factors, artificial intelligence has ushered in a new wave of development. In the development of artificial intelligence technology, algorithms, calculations and data are the three major factors that promote the development of artificial intelligence technology. The algorithm is the core, and the calculation and data are the foundation. In addition, technologies such as big data, Internet of Things, and cloud computing have laid a good foundation for the development of artificial intelligence.

As the application scenarios of artificial intelligence in various industries become clearer, the industry and business scope of applications are gradually increasing. In the current application fields of artificial intelligence, automotive, retail, finance and medical care are areas where the development foundation is mature and the market application potential is large. The manufacturing, education and communication industries are the areas with great potential for artificial intelligence development in the future. Among them, although the manufacturing industry has a relatively weak foundation in organization, it has provided a good technical foundation for the intervention of artificial intelligence technology because of its large amount of high-quality data accumulation and automated workflow. In the future, in the field of equipment manufacturing, the production line and equipment state prediction model will be established through artificial intelligence technology. It is expected to reduce the operation and maintenance cost of the enterprise by 10%, machine downtime by 20% and machine inspection cost by 25%. At the same time, the machine is replaced by intelligent technology to realize the automation of quality inspection, assembly, loading and unloading, etc., and reduce the labor cost of the factory.

artificial intelligence

Promote the shipbuilding industry to reduce costs and increase efficiency

A new round of industrial transformation has swept the world, and artificial intelligence has become the core direction of a new round of industrial transformation. Nowadays, more and more traditional manufacturing companies are using artificial intelligence as a new driving force for the development of new and old kinetic energy, and constantly create new development opportunities. The application of artificial intelligence technology puts high requirements on the degree of digitalization of enterprises. At present, industries with better digital foundation, such as Internet, high-tech, information and other emerging technology industries, have advantages in the development and application of artificial intelligence technology. In traditional industries such as manufacturing, where the digital base is poor, the application of artificial intelligence is still in the early stage of trial, and only a very small number of enterprises have carried out large-scale deployment. For companies in traditional industries, the question is no longer whether to consider artificial intelligence applications in their own business and strategic processes, but what kind of artificial intelligence strategy to develop and how to implement this strategy.

As a typical traditional manufacturing industry, the shipbuilding industry is also facing the same situation faced by most traditional industries. On the one hand, artificial intelligence will become the main way for the shipbuilding industry to improve production efficiency and reduce enterprise costs, helping the industry to better optimize production processes and better allocate integrated resources throughout the entire manufacturing system. On the other hand, the application development of artificial intelligence will change the existing traditional manufacturing mode and business model, introduce external competitors, or will change the traditional industrial structure.

Making the machine smarter is the fundamental goal of the development of artificial intelligence technology. The cost reduction and efficiency increase are the inevitable result of the development of artificial intelligence. For the shipbuilding industry, artificial intelligence can be applied to the entire process from R&D to construction, as well as operation and maintenance, to promote the shipbuilding industry to achieve cost reduction and efficiency. The maturity of artificial intelligence technology will make intelligent design possible. Machine learning is an important field of artificial intelligence technology research. This technology allows the machine to acquire relevant knowledge and carry out related work through the "learning" of a large amount of data. Therefore, with the development of machine learning technology, the machine can “learn” a large number of ship design data in the future, let the machine master the basic design work of the ship, thereby liberating the ship designers to carry out creative research and design, and enhance the design work. s efficiency.

Ship smart manufacturing will be the main area of artificial intelligence technology applications. Shipbuilding is a complex process that involves many aspects of manufacturing, management, logistics, and more. The combination of artificial intelligence technology and technologies such as the Internet of Things and big data analysis can optimize the ship construction process, improve the efficiency of ship construction, and better realize intelligent manufacturing. For example, through the Internet of Things to collect and monitor ship production process data, using advanced algorithms of artificial intelligence technology, it can effectively optimize production and logistics management and improve production efficiency. At the same time, the development of robotics will greatly enhance the intelligence of the manufacturing process. At present, the construction of ships generally uses intelligent equipment such as robot arms and robots. South Korea and Japan have a complete intelligent design, production operation and operation management system; an intelligent control system has been established from ship design, research and development to construction. Shipbuilding companies widely use welding robots, assembly robots, painting robots, palletizing robots, handling robots, etc., which have largely surpassed traditional robots and have obvious effects in reducing errors, increasing productivity, and saving costs.

Intelligent ships will become a hot spot for the application of artificial intelligence technology in the future. Artificial intelligence technology has been widely used in the field of driverless vehicles, and has played an important role in image recognition and control algorithms. Through the application of artificial intelligence technology to enhance the identification and processing capabilities of intelligent ships, intelligent ships have the ability to drive autonomously similar to humans, which is also the long-term goal of intelligent ship development - unmanned ships. At present, a number of intelligent ship and unmanned ship projects have been launched worldwide, such as the 38800-ton intelligent demonstration ship construction project led by China State Shipbuilding Corporation and the EU-funded research and development codenamed “MARS”. The manned boat project, the DNV GL unmanned ship design project, and the Hyundai Heavy Industries' smart ship networking system project. The ship industry is conducting smart ship research, and artificial intelligence will drive the acceleration of these projects.

Shipbuilding company

Actively deploy artificial intelligence applications

Artificial intelligence technology is the most disruptive and revolutionary technology after Internet technology, and will open a series of industrial changes. For the shipbuilding industry, the development of artificial intelligence technology brings new opportunities as well as challenges. Layout artificial intelligence applications, the timing is right now.

First of all, it is necessary to take precautions, understand the development of artificial intelligence, and formulate the development plan of enterprise artificial intelligence. The tide of artificial intelligence is unstoppable. For shipbuilding companies, it is best to act ahead and respond positively. Shipbuilding enterprises should be clear about where artificial intelligence technology can be applied in the current business, what opportunities can be grasped; understand the technical layout of other enterprises, evaluate the application opportunities of artificial intelligence technology in their own business, and learn in all aspects of the value chain Application case. On this basis, combined with its own development, develop an artificial intelligence development plan suitable for the enterprise.

Secondly, we must know ourselves and ourselves, evaluate our own artificial intelligence foundation, and consolidate the foundation of enterprise artificial intelligence development. The development of artificial intelligence cannot be achieved overnight. It needs relevant basic capabilities as a support. Assessing its own basic capabilities and improving infrastructure plays an important role in promoting the application of artificial intelligence technology. Shipbuilding companies need to assess the core competencies in organization, data and technology, application and execution capabilities, recognize where they are inadequate, and provide support and guidance to relevant departments. Among them, the most important is the degree of digitalization of enterprises and artificial intelligence talents. It is especially important to upgrade the degree and cultivation of enterprises and introduce artificial intelligence talents to traditional industries such as the shipbuilding industry.

Finally, we must promote the development of artificial intelligence in enterprises in combination with the needs of enterprise development. Shipbuilding companies need to develop clear development directions and goals, draw a blueprint for development, and enhance relevant supporting capabilities to support the implementation of the plan. Among them, the data is the “energy” of artificial intelligence development. The accumulation of data is a long-term process and should be carried out as soon as possible to lay the foundation for the future advancement of artificial intelligence.

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