Alibaba cloud, Delong and new Tiangang jointly build a "steel brain"
Reporter Cai Lijun (Lu Xiaolong, correspondent) at the 4th World intelligent conference held from June 23 to 24, Alibaba cloud, Delong group and new Tiangang Group jointly released the project blueprint for building "steel brain". With the help of Alibaba cloud's technical strength in cloud computing, big data and AI (Artificial Intelligence), Alibaba cloud will build an application benchmark in Delong and xintiangang, and jointly enable the number of domestic steel enterprises Transformation.
Ding Liguo, chairman of Delong and new Tiangang Group, has a profound and clear judgment on the application prospect of digital technology and intelligent technology in the iron and steel field, clearly puts forward the strategic development concept of digital Delong and digital new Tiangang, and puts forward the top-level strategic planning of "665 intelligent steelmaking" (surrounding "optimal cost, best efficiency, real data, controllable risk, close to customer demand and close to customer demand) The first mock exam of the six major development areas of the field staff is to carry out intelligent practice in 6 main business areas, namely, "intelligent production, intelligent procurement, intelligent logistics, intelligent finance, intelligent equipment and intelligent security". We should concentrate our efforts on single point breakthroughs and create 5 unified intelligent control modes, which are "unified standards, unified data, unified mode, unified system, unified control".
After Delong, new Tiangang and Alibaba cloud found a meeting point in the direction of intelligent development of the steel industry, they quickly established a "elite team" committed to building a "steel brain" platform. The "steel brain" platform will take the financial profit as the main line, take the service customers and employees as the center, carry out comprehensive management on the logistics, capital flow and information flow in the supply and marketing process, and comprehensively enable the steel production and manufacturing and upstream and downstream customers. It is mainly reflected in six aspects
First, intelligent production. Based on information collection, through analysis and collation, it provides real-time and comprehensive data reference for production organizers; realizes data "realization" through cloud computing, and provides valuable decision-making reference.
Second, smart purchasing. To achieve unified management and control of procurement business, promote the concept of "sunshine procurement", and maximize the internal and external collaborative benefits.
Third, smart logistics. To achieve automatic and reliable collection, automatic discrimination, automatic command, automatic processing and automatic control of measurement data, improve the ability of logistics system analysis and decision-making and intelligent execution, minimize the disadvantages of manual operation, reduce the work intensity and reduce the logistics cost.
Fourth, smart finance. Create a more intensive, efficient and competitive financial management and control mode, promote the deep integration of business and finance, strengthen capital management and control, prevent capital risks, and improve management level.
Fifth, intelligent equipment. Relying on advanced communication technology, it provides more timely and effective technical support for field equipment operation and maintenance; it applies intelligent equipment in some posts and production links to reduce labor intensity and risk of employees and improve production efficiency.
Sixth, wisdom safety. Combined with all kinds of data acquisition and AI image recognition on site, it can achieve all-round, whole process, all staff, all-weather three-dimensional safety control, improve the dynamic safety information data service ability and accident prevention ability; build an environmental protection and energy monitoring platform, through data analysis and decision-making, link the governance facilities with production facilities and monitoring data to achieve energy conservation and emission reduction.
