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.

Industrial big data is an important technical means to promote industrial digital transformation, which requires the integration of “business, technology and data”. This requires reviewing the current improvement direction from the perspective of business, thinking about new operation modes, new data platforms, application and analysis requirements from the perspective of IT, OT and management technology, and examining from the perspective of data how to build a logical view reflecting the physical world in a comprehensive, timely and effective way to support decision making and business through means such as information integration, flow and in-depth processing. Therefore, the development of industrial big data will show the following trends.

1. Data integration, unified data standards

Industrial enterprises gradually strengthen the collection, exchange and integration of industrial big data, break data isolated islands, achieve cross-level, cross-link and cross-system integration of data, establish a feasible industrial big data standard system from multiple dimensions on a macro level, and realize the unification of data norms. In addition, industrial software and Internet of things equipment can be controlled autonomously gradually in practical applications, and the freedom of reading and writing of high-end equipment can be realized.

2. Machine learning, automatic data to model building

On the basis of the realization of big data collection and integration, the digital modeling of the whole industrial chain is promoted and the analysis of industrial big data is deepened. The experience, process parameters and models of various links in various fields are digitized to form the digital image of the whole production process and the whole life cycle, and the machine learning system from experience to model is constructed to realize the automatic modeling from data to model.

3. Build professional data analysis algorithms in different fields

On the basis of general algorithms in the field of big data technology, it constantly builds professional algorithms in the field of industry, and deeply explores the knowledge of physical and chemical principles, processes and manufacturing of industrial systems, so as to meet the requirements of enterprises for high confidence in the results of industrial data analysis.

4. Data results are visualized through 3D industrial scenes

Visualization of data and 3D industrial scenes is carried out to visually display data results to users and increase the usability of industrial data. Through the visualization of 3D industrial scenes, the manufacturing process can be transparent and conducive to process collaboration. Valley provides MES, SRM, WMS, low code development platform, open interface platform one-stop intelligent factory, digital transformation of the overall solution.