Industrial automation control refers to the use of various mechanical equipment and industrial control devices such as frequency converters to achieve unmanned production processes, which can automatically complete predetermined tasks according to industrial production requirements, thereby achieving the goals of increasing production, reducing consumption, and improving quality. It is a comprehensive technology in current industrial production.
Industrial automation control is mainly controlled by microcomputers, including automation systems, hardware, and software, relying on the development of electronics and communication industries. At present, a typical control system consists of an upper computer, industrial controller, and on-site execution mechanism. The automation control system mainly consists of programmable controllers, distributed control systems, industrial PCs, embedded computers, and OEM products including PID regulators and controllers.
So, how can enterprises achieve automation of business processes?
1. Improve work efficiency
The automation of dirty, tiring, dangerous, and repetitive work, which is usually done manually, is inefficient, low-quality, and prone to safety accidents. If automation can be achieved, it will greatly improve work efficiency and enhance production safety.
2. Automation of data collection
If data collection is automated, it will significantly improve work efficiency, especially for enterprises in the service sector. Barcode scanners have been widely used in stores, warehouses, and other fields, and have achieved good results.
3. Data transmission automation
Nowadays, information and communication technology is very advanced. If companies apply these technologies in practice, it will have a huge impact. Sending information through fax, phone, and email can not only save paper and manpower, but also improve the efficiency of information transmission.
4. Data analysis automation
All enterprises have a large amount of data, and data analysis can help them produce and sell well. However, due to the huge amount of data and information silos in many enterprises, data cannot be shared, making analysis very difficult.