Currently, the "Made in China" and "Intelligent Manufacturing" strategies implemented in China have long been deeply rooted in people's hearts. Many enterprises are paying attention to this field, but they have encountered some problems in the process of digital transformation, which has slowed down their own pace.

1. There are many and complex related concepts

Since the boom of Industry 4.0, the concepts of intelligent manufacturing, industrial Internet platform, enterprise cloud, artificial intelligence, digital factory and so on have emerged. For most small and medium-sized manufacturers, they feel dazzled and confused.

There are many technologies involved in intelligent manufacturing, such as cloud computing, edge computing, RFID, industrial robots, AGV, digital twins, machine learning, predictive maintenance, etc., which also dazzle enterprises, constantly disturbing their vision and affecting their judgment.

2. Unclear transformation process

The concept of diversification is flooding the eyes of enterprises, and there is no unified intelligent manufacturing process in the market. Automation, digitization, and intelligence are alwaysmixed together. Enterprises need to understand their own needs, find corresponding products, and develop appropriate processes, otherwise investing funds and resources may still be in vain.

3. Low degree of data application

Enterprises may also lack technological applications in promoting intelligent manufacturing, resulting in data silos between devices, between devices and people, and between systems and platforms. Information transmission delays and errors can also affect decision-making and execution, greatly slowing down the process of intelligent manufacturing transformation.

Therefore, intelligent manufacturing requires a complete and clear process, involving a series of products such as software and hardware, to complete the integration of equipment management, remote monitoring, data transmission and other functions.