Industrial big data is an important technical means to promote industrial digital transformation, which requires the integration of “business, technology and data”. This requires from the perspective of business to examine the current the direction of improvement, from the perspective of IT, OT, management technology to think about the new operation mode, new data platform, application and analysis requirements, from the perspective of data on how through the information fusion, flow, depth processing, comprehensive, timely and effectively build reflects the logical view of the physical world, support decision-making and business. Therefore, the development of industrial big data will show the following development trend.
- Data large integration, data specification and unification
Industrial enterprises gradually strengthen the collection, exchange and integration of industrial big data, break the data island, realize the large integration of data across levels, links and systems, and establish a feasible industrial big data standard system from multiple dimensions to realize the unification of data specification; in addition, gradually realize the independent control of industrial software and IOT equipment, and realize the free reading and writing of high-end equipment.
- Machine learning, automatic data-to-model building
On the basis of the big data collection, integration, promote the whole chain of digital modeling and deepen the industrial big data analysis, the experience of each link, process parameters and model, form the whole production process, the whole life cycle of digital mirror, and construct from experience to model of machine learning system, in order to realize the automatic modeling from data to the model.
- Construct professional data analysis algorithms in different fields
On the basis of the general algorithms in the field of big data technology, professional algorithms in the industrial field are constantly built, and the knowledge of physical and chemical principles, processes and manufacturing of industrial systems is deeply mined, so as to meet the requirements of enterprises for high confidence of industrial data analysis results.
- Data results were visualized through a 3D industrial scenario
Visualization of data and 3D industrial scenarios, visually show the data results to users, and increase the availability of industrial data. Through the visualization of 3D industrial scenarios, the transparency of the manufacturing process is realized, which is conducive to the process collaboration. Google provides MES, SRM, WMS, low-code development platform, open interface platform, one-stop intelligent factory, and digital transformation overall solution.
Tne end:
With the deepening of the concept of intelligent manufacturing and industrial Internet, the integration of the Internet, big data and industry has become the core of the new industrial system. The application of industrial big data will bring great upgrading and optimization of industrial production and management links, and its value is gradually reflected and recognized.
