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Highlights
SINO-HEAVYMACH Project Included in the Pilot Demonstration Project List of National Big Data Industrial Development
Category:HighlightsRelease date:2020.04.24

On March 16th, the significant data-driven heavy-duty equipment design-manufacturing-service integration coordination innovation platform of SINO-HEAVYMACH was officially included in the Big Data Industrial Development Pilot Demonstration Project List for 2020 issued by Ministry of Industry and Information Technology of the People’s Republic of China.

The application entities for Big Data Industrial Development Pilot Demonstration Project for 2020 are businesses, scientific research institution and associations engaged in the collection, storage, processing, analysis, service, security of big data, which center around four fields of integration and application of industrial big data, innovation application of civil big data, pilot application of big data key technologies and big data management ability featuring seven subdivided directions. The big data pilot demonstration projects are selected to play a pioneering and leading role in fueling the sound development of the big data

In light of multi-source heterogeneous data features of production, design, manufacturing and service and other processes, the significant data-driven heavy-duty equipment design, manufacturing and service integration coordination innovation platform focuses on building big-data storage and analysis model through exploiting the logic relation of humans, machines, product and business in order to make the big-data high-efficiency storage, analysis and processing possible, as well as combine semantic description and heterogeneous data mapping to map out visible knowledge demonstration method of data chain.

The platform building will effectively drive the full integration and application of big data in the whole processes ranging from research, design, production to manufacturing, operation, management, sales and service, with the goal of fostering a new mode of data-driven development through improving production efficiency and reducing production cost.