CNC Cutting Database system for manufacturing services-from Internet of things to cloud computing
Source: Internet
Author: User
KeywordsCloud computing Internet of Things
CNC Cutting Database system for manufacturing services-from Internet of things to cloud computing
Liyaojun Daiju Zhang Wei
The new information technology is not only the key method to solve the service-oriented demand of manufacturing industry, and become the realization of "manufacturing is the service" concept of an important technical support, including the Internet technology and cloud computing technology is the current manufacturing industry information important research direction, and the Internet technology and cloud computing technology two of the convergence of the bridge is "massive data" Processing technology. Taking the "sense, knowledge and line" as the core goal in the process of NC machining, a CNC cutting database system for manufacturing service is established, which realizes the remote on-line intelligent monitoring of NC machining and the optimization of real time simulation of cutting parameters. On-line monitoring technology based on IoT technology and multi-sensor Fusion, "sense" by the CNC cutting process of various signal characteristics, using cloud computing technology, "know" the key features of CNC machining process, combined with mass data mining and NC machining process optimization simulation technology to "line" CNC machining process of intelligent, Service, Green.
CNC Cutting Database system for manufacturing services-from Internet of things to cloud computing
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.