TY - JOUR
T1 - Research and development of intelligent cutting database cloud platform system
AU - Wang, Zhao
AU - Jiao, Li
AU - Yan, Pei
AU - Wang, Xibin
AU - Yi, Jie
AU - Shi, Xuechun
N1 - Publisher Copyright:
© 2016, Springer-Verlag London.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - In order to promote the integrated application of the Internet of Things and cloud platform computing technology in intelligent manufacturing system, a cloud platform of cutting database was established in this paper. With the help of multi-sensor and distributed storage technology, mathematics model and data mining algorithm, functions of fast accessing and storing cutting data, intelligent modeling and analysis, efficient mining and optimizing processing parameters can be realized in the system, solving the key problems of analyzing cutting force and controlling surface quality in turning difficult-to-cut materials. Data equipment and users in the system were connected as a whole through wireless network, which can provide intelligent service of data querying, modeling, and optimizing through the cloud server. The study made up for the drawbacks in current intelligent database system such as oversimplified platform architecture, low level of intelligence, and low utilization of historical data, providing an efficient method of managing and applying big data in cutting process for the production system.
AB - In order to promote the integrated application of the Internet of Things and cloud platform computing technology in intelligent manufacturing system, a cloud platform of cutting database was established in this paper. With the help of multi-sensor and distributed storage technology, mathematics model and data mining algorithm, functions of fast accessing and storing cutting data, intelligent modeling and analysis, efficient mining and optimizing processing parameters can be realized in the system, solving the key problems of analyzing cutting force and controlling surface quality in turning difficult-to-cut materials. Data equipment and users in the system were connected as a whole through wireless network, which can provide intelligent service of data querying, modeling, and optimizing through the cloud server. The study made up for the drawbacks in current intelligent database system such as oversimplified platform architecture, low level of intelligence, and low utilization of historical data, providing an efficient method of managing and applying big data in cutting process for the production system.
KW - Cloud platform
KW - Cutting database
KW - Intelligent manufacturing
KW - Internet of Things
UR - http://www.scopus.com/inward/record.url?scp=84983418024&partnerID=8YFLogxK
U2 - 10.1007/s00170-016-9310-0
DO - 10.1007/s00170-016-9310-0
M3 - Article
AN - SCOPUS:84983418024
SN - 0268-3768
VL - 94
SP - 3131
EP - 3143
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 9-12
ER -