With the rapid development of information technology and communication technology such as the Internet, Internet of Things, cloud computing, etc., the skyrocketing data volume has become a serious challenge and valuable opportunity faced by many industries. Industrial big data is not coming out of thin air. Traditional industrial informatization has been going on. A lot of data comes from R&D, manufacturing and service. The industrial informatization process has been generating a lot of data, and industrial data is mainly from machines. Equipment data, industrial information data and industry chain related data.
Industrial big data is an extension of the Internet and big data in the industrial industry. In the industrial 4.0 era, the application of industrial big data is changing the operating mode of the industry. Intelligent equipment, service-oriented manufacturing and cross-border integration are several aspects of industrial big data applications. Intelligent equipment is to improve the reliability of a single device, identify equipment failures, optimize equipment operation; service-oriented manufacturing is to improve the operation of production lines and workshops. Efficiency, including energy optimization, supply chain management, quality management, etc.; cross-border integration is to go out of the factory, go to the industry, and achieve industrial interconnection.
To make industrial big data generate value, it is necessary to analyze the data. Building a big data platform is what many companies are doing. In the data enabling industry, Accumulation Intelligence has developed an industrial Internet platform for small and medium-sized manufacturing enterprises to help enterprises solve problems related to management radius, production efficiency, quality control, production schedule and controllable delivery.