About the future trend of industrial development we put forward many ideas, but also a new concept was born: Industrial Internet, digital factory, industrial 4.0, intelligent manufacturing. It is difficult to say what is the definition of these words are clear, but their relationship is more like intelligent manufacturing of integrated multi-faceted. Domestic manufacturing, small and medium enterprises occupy a very important position, has been “fifty-six thousand seven hundred eighty-nine” saying to them an overview of the role of the national economy, that SMEs contribute more than 50% of revenue, more than 60% of GDP more than 70% of technological innovation, more than 80 percent of urban employment, the number of enterprises with more than 90%. SMEs in the field of manufacturing, the key is that the digital transition to build the digital factory. What digital factory that? Digital Factory (DF) refers to the relevant data of the product life cycle, based on a virtual computer environment, the entire production process simulation, evaluation and optimization, and further extended to the new production organization of the entire product life cycle. Is a modern digital computer simulation technology and manufacturing technology combined with the product CONTROL ENGINEERING China Copyright , while having its distinctive features. It appears to the manufacturing base has injected new vitality, primarily as a communication bridge between product design and product manufacturing. The basic features of Digital Factory is the integration of business and information flow, one from product design (product data management system TC), the allocation of resources (enterprise resource planning system ERP), Manufacturing Execution (MES MES) and the bottom line of business flow all digital implementation and transmission format; second generation and the production process can be collected up the various return data collection, data analysis on the management platform, quality alarm, based management issues, with data forming the driving force to enhance the quality and management improvements. Relationship between digital factory and intelligent manufacturing , which is incorporated herein azure industry CEO Bo Jun understanding: “Digital Factory is the intelligent factory of the end result, but the factory is smart and intelligent manufacturing base . only by achieving a foothold digital factory, in fact, it is possible to achieve intelligent manufacturing digital itself is part of intelligence, an entrance; while the intelligent factory is the addition of a variety of networking technology and intelligent systems based on the emerging digital factory technology, and improve studentControllability of the production process, reducing production line manual intervention. “SMEs in the digital transition is not optimistic about the Internet of Things, cloud computing, edge computing, the rapid development of machine learning technology, so that the digital transformation of China’s manufacturing enterprises usher in a critical period, especially small and medium enterprises to promote the transformation of digital intelligence, has been in recent years the government’s priorities, as it relates to the conversion of kinetic energy of old and new SMEs and sustainable development, while small and medium enterprises as an important part of the national economy, its healthy development of China’s economic development and social stability plays a vital role. “2019 Jinan enterprise digital transformation and development report” also shows that private holding company in the ongoing digital transformation of enterprises have yet more than half, accounting for only 44.3%, while the highest proportion of type of business is a joint venture, foreign ownership business, accounting for up to 77.8%; followed by state-controlled enterprises and wholly foreign-owned enterprises, accounting for 65.7% and 61.9% respectively in addition, in 2019, the study of 157 industry manufacturers conducted ARCAdvisoryGroup (ARC) found that over. 80% of the processing industry manufacturers are first pilot Advanced technology, but only 5% to 8% of manufacturers are ready for the digital transition .ARC think Control Engineering Copyright , the digital transition there are still a lot of responsibility in the organization, culture and change management staff obstacles, the main obstacle is the user’s organizational structure and use cases scalability for large enterprises CONTROL ENGINEERING China Copyright , the digital transition needs of manpower, material and financial resources are sufficient to support industrial giant Siemens is not only to achieve its own digital transition will also convert its success stories and experience to the business, to provide the digital transition solutions to organizations around the world. 2017 fiscal year shows that Siemens digital services and software business revenue has more than 5.2 billion euros , one of the three core growth areas of the company. for SMEs, digital transformation has two prerequisites, one production automation, the second is the construction of digital platforms, which exist transition costs, technical blind spots, information security problems, and change their thinking to embrace digital technology and digital transformation Workload is also a major test for the team. In addition, the digital transformation of our country more than in the pilot demonstration and promotion of local stage, Can draw on a limited number of business model and experience, trial and error process of transformation in higher costs, which the weak against the risk ability will be a big impact. Of course there are difficulties, but the company has been restructuring the digital wave struck. ARC believes that Control Engineering Copyright , in the industrial field, the biggest driver of digital transformation, is outside the control of unplanned downtime demand led business consequences. Successful completion of the digital transformation of enterprises, often because a reasonable production schedule, reducing manual intervention and predictive maintenance, and reduce operational errors, failure to reduce unplanned downtime situations. Executive President of the Digital Economy Research Institute of Zhongnan University of disk and Lin believes that the restructuring costs, the first to seize the place dividend policy to accelerate the digital transformation of some areas for enterprise digital, intelligent transformation is subsidized and incentives; secondly learn from the advanced experience of business model, more exchanges and more to learn, to avoid detours, reduce the cost of the reform process of trial and error; and finally establish a long-term vision of enterprise development , because the digital transition for most enterprises can play a strong role of the marginal improvement.