Release time:2019-11-25 06:17:46
The report of the 19th National Congress pointed out that it is necessary to speed up the construction of a manufacturing power, accelerate the development of advanced manufacturing, and promote the deep integration of the Internet, big data, artificial intelligence and the real economy. Therefore, China's manufacturing industry is also facing a big transformation. A very important sign of the current manufacturing transformation is the realization of intelligence, corresponding to the manufacturing industry is the smart factory, the production factors related to manufacturing are digital. At the same time, through the industrial Internet and big data and other technologies to interconnect, including factories, enterprises and enterprises, enterprises and customers, enterprises and suppliers, so as to achieve the interconnection of the entire industry chain, enhance the entire industry chain value.
At present, the problems faced by traditional factories: in the production process, the production rate of raw materials is often low due to the problems of raw materials. In the past, the monitoring of defective raw materials relied more on human eye recognition, which was not only time-consuming and labor-intensive, but also easy to produce. error. Furthermore, it is a problem of large output, and it is more difficult to use manual for real-time data update.
Therefore, in response to such a situation, Zhongke United's Zhongke Ai Meisen Industrial System product line has developed a microwave intelligent factory test solution for smart factory design from three aspects.
First: to realize the transformation from business to data; to carry out appropriate digital transformation according to the characteristics of the factory, to digitally unify the business units involved in the whole production, and establish relevant information systems.
Second: to achieve the interconnection between various business units; use the industrial Internet, big data technology segment, to create an overall digital platform to achieve the transformation of data to big data.
Third: to achieve a high degree of integration of the entire business and digital; through the digital drive for business innovation.
(Wireless chip measurement enhanced learning robot and production visualization)
CT-AMEISON.Microwave intelligent factory automation measurement and control system
system introduction:
70M~70GHz automatic measuring instrument system, suitable for wireless automatic production testing, including BT, WIFI, NB, 2G, 3G, 4G, 5G, 24G and other modules production test. Nissan's 250,000 advanced intelligent wireless measurement and control system is only 10% of the cost of testing.
Industrial 4.0 remote wireless measurement and control, each robot (industrial production line robot arm), through remote control to complete large-scale wireless product production test, so that production efficiency and quality are doubled, advanced high-speed patch line and measurement and control system daily capacity of 200 Ten thousand points.
The large-screen real-time output of the hourly production and measurement, including the number of production and testing of each factory, the output of the day's total output, site, production model and non-performing rate, to facilitate production management personnel to conduct real-time data monitoring to ensure production capacity.
Combined case:
In early 2015, the first 70M~6GHZ automated measuring instrument system was successfully put into mass production. Up to now, 60 instruments have been assembled, and the daily output is 200,000 (PCS).
The market price of similar instruments is 300,000 yuan/set; indirectly, the company directly reduces the investment of 18 million yuan to create an intelligent wireless measurement and control system with independent intellectual property rights.
Model: CT-UNITE W100
Test method: protocol test
Test frequency: 70MHZ~6GHZ
Test efficiency: 8PCS/10 seconds each time
Test products: NB-IOT, 802.11ac, Bluetooth, 4G, 5G wireless module
Capacity / 1H: 20,000 (PCS)