The three core technologies of intelligent manufacturing industrial data collection, industrial Internet of Things, cloud computing. Specifically as follows:
One, Big Data (Big Data):
This thing is called cast point advertising, which automatically collects and analyzes Internet records, and pushes relevant advertisements based on what you usually watch.
It belongs to the big data marketing, although we may not matter, but for many companies, it is really a good thing, through the collection of information collected hundreds of millions of people across the country, know what consumers like, what they want to buy, and what it will give consumers to see, save money and save a lot of things.
Two, the Internet of Things (Internet of Things):
If cloud computing is equivalent to the human brain, then the Internet of Things is the human nerve center. It connects any item through a network to realize intelligent identification, positioning, tracking, monitoring, and management. IoT has several key technologies: sensor technology, RFID tags, and embedded system technology. These technologies of IoT can flexibly create "transparent production, digital workshop, intelligent factory" for customers, reduce human intervention, improve the overall efficiency of factory facilities and improve product quality and consistency.
Three, cloud computing (Cloud Computing):
Previously, people need a large number of hard disk to store data, can not be viewed anywhere at any time and the use of data, portable USB flash drives are not enough to store the data, now you can use the "cloud storage" will be stored in the network cloud, at any time and anywhere can be used remotely data. The data can be used remotely anytime, anywhere.
On the other hand, traditional intelligent manufacturing enterprises need to be equipped with a large number of computational servers in each factory for professional computing needs, which is costly and low-cost. With today's "cloud computing," users can remotely call up servers around the world to calculate, which saves time, energy, and money.
In summary:
Intelligent manufacturing requires high-performance computers and network infrastructure, the application of big data analysis system, the production process can be automated data collection and analysis and processing, the use of cloud computing to control the field equipment. In addition to the previously mentioned network storage and servers, these devices require a high-performance terminal that can be carried around for remote management and control.
People who have been to work in the traditional industry certainly know that the company has to meet every day to discuss, travel to investigate, refer to the feasibility of meetings, meetings, manual calculation of earnings, and ultimately the implementation of the program, is really too slow. But now users can use high-performance laptops, in any place where there is a network remote use of the previously mentioned "network storage and servers", real-time grasp of the huge amount of data, with hundreds of millions of times a second of arithmetic analysis, a moment to get the best and most appropriate results.