Has the baby made by Aerospace Intelligence in the shopping cart placed an order?
The annual double eleven is here again
Have you noticed any differences?
This year’s Singles’ Day, folded into a nunchaku
Double Eleven has turned one's loneliness into a carnival for the whole world
Last night's hitters and payers
Did you all buy it?
You can come and have a look at the same time you chop your hands
The babies made by Aerospace Intelligence!
I'm coming Brother Dahuang walked in side by side
In ancient times, Liu Guan and Zhang Taoyuan had three knots
Today, there are three sisters, Xiao Huang, and Jin Lan.
My fat tiger and fat girl can also be yours Work together
Gao Fushuai is like us
The dunzi brothers are especially good at dressing
Lanlan and Lanlan join hands to defend their home and country
You marry (take) her (it)
I will marry (take)heShe (it)
You have to screw it up, right?
Tit-for-tat is not a long-term strategy for keeping a family
Xiaoliuzi is still you great, 1 arrow and 13 stars
One person carries a piece of sky
The Double Eleven shopping festival has repeatedly created miracles of transaction volume. It is inseparable from the management of powerful servers and data cloud platforms. The intelligent manufacturing equipment of Aerospace Intelligent Manufacturing (Shanghai) Technology Co., Ltd. also has the blessing of remote service data platform. The aerospace smart cloud platform is based on the public cloud and wireless communication technology (WIFI and 5G/4G/GSM, etc.) to build a big data cloud platform with company product data as the core, collect the company’s product life cycle data, in sales, design , After-sales service and quality control, etc., to enhance product reliability and competitiveness.
Features of aerospace intelligent cloud platform:
1) Real-time display of control parameters and outstanding human-computer interaction functions;
2) Regular data feature analysis, realize fault diagnosis, provide early warning and operation and maintenance support for production line and equipment;
3) Process data analysis and evaluation, continuous improvement of smart equipment and production line process;
4) Collect and analyze equipment parameters, and continuously optimize the quality of the equipment itself.
