Reduce production error rates by simulating manufacturing processes in digital space

(1) Collaborative design based on 3D model

IS210DSVOH1AA One is digital twin simulation. Conduct collision simulation, structural simulation and fluid simulation tests on ship models in cyberspace to shorten product development cycles. The second is parallel collaborative design. Ship enterprises can use the industrial Internet platform to integrate ship data, realize the coordination of various design work, and improve research and development efficiency. Third, process design optimization. Reduce production error rates by simulating manufacturing processes such as machining, welding and assembly in digital space.

(2) Intelligent manufacturing based on CPS

IS210DSVOH1AA First, the equipment automation of key production links, relying on the industrial Internet platform to control intelligent robots to carry out production processes and reduce labor costs. The second is the ubiquitous interconnection of production factors in the shipyard area. State acquisition and control network is established to realize ubiquitous interconnection of core production factors. The fourth is the intelligent control based on the digital twin workshop. Construct logical model to realize dynamic analysis, decision and scheduling of production process.

(3) Supply chain coordination

One is supply chain management. Through the industrial Internet platform, the ship supporting materials, suppliers, materials distribution and other lean management, ensure the supply chain supporting balance and order, and effectively improve the logistics turnover efficiency. The second is supply chain finance. Through the industrial Internet platform for financial leasing, assets will be transformed from less liquid fixed assets to the most liquid cash assets, improve corporate cash flow, reduce corporate financing costs, and optimize the company’s capital structure.

(4) Service extension

First, ship energy-saving operation. The intelligent detection equipment is connected to the industrial Internet to realize the functions of energy consumption query, analysis, statistics and management, reduce maritime carbon emissions and reduce ship operating costs. Second, route intelligent planning. Build a network link to realize data interworking and sharing. Assisted navigation in open water is realized, which improves the navigation safety of ships. Third, equipment predictive maintenance. Use big data technology to predict condition trends and remaining life, and apply reasonable repair or maintenance safeguards.

IS210DSVOH1AA Drive edge-cloud collaboration to facilitate data flow

(1) Consolidate the technical foundation and build a fast track for data flow

First, promote the application of a new generation of information technology, accelerate technology collaboration such as big data, virtual simulation, system collaboration, and artificial intelligence, and break the scope limit of data flow only in local computers and local area networks. The second is to increase the R&D investment in the overall technology, process design, intelligent management and control, intelligent decision-making and other technologies of Marine intelligent manufacturing, focusing on the collection and accumulation of data, and accelerating the transformation of relevant knowledge to guide product production and manufacturing. The third is to accelerate the precipitation, encapsulation and solidification of knowledge in the shipping industry, build a digital middle platform, build an industrial software support system for the shipping industry, and effectively solve industry problems by accelerating the free flow of data.

(2) Promote edge cloud collaboration and open up production site data bottlenecks

IS210DSVOH1AA First, the intelligent transformation of the core production line, relying on edge intelligent computing and big data analysis, to achieve cloud-to-edge intelligent control, shorten the manufacturing cycle of core components, effectively reduce the rate of defective products, and improve production efficiency. The second is the dynamic adjustment of production plan, real-time monitoring of site status parameters, comprehensive analysis of site, equipment, personnel and other data on the industrial Internet platform, and the development of load balancing operation plans. The third is the optimization of production mode organization, with the help of big data, artificial intelligence and other technologies, to ensure the lean and real-time manufacturing process and the orderly and smooth production rhythm, and reduce manufacturing costs.

(3) Optimize supply chain supporting and improve upstream and downstream information sharing

First, relying on the industrial Internet to strengthen the docking of production demand plans of upstream and downstream enterprises, and reduce the phenomenon of early delivery or delay. The second is to establish a cloud digital inventory management mechanism, and gradually promote the free inventory control model of “demand pulling plan and dynamic storage adjustment”. The third is to lay out supply chain finance based on the industrial Internet, and focus on solving the problem of capital chain breakage caused by factors such as capital cushion, delivery delay, and order cancellation.