Founded in 1971 >
Chinese Sci-tech Core Periodicals >
British Science Abstracts (SA, INSPEC) Indexed Journals >
United States, Cambridge Scientific Abstract: Technology (CSA: T) Indexed Journals >
United States, Ulrich's Periodicals Directory(UPD)Indexed Journals >
United States, Cambridge Scientific Abstract: Natural Science (CSA: NS) Indexed Journals >
Poland ,Index of Copernicus(IC) Indexed Journals >
International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Adaptive monitoring architecture and service method of robots based on DPWS and Petrinets
WANG Ting, XV Fang, TAN Dapeng, ZHANG Libin
(Key Laboratory of E&M, Ministry of Education&Zhejiang Province, Zhejiang University of
Technology, Hangzhou 310014 China)
Abstract: Aiming at the problem of poor adaptive ability and low realtime performance of robot monitoring system, the adaptive monitoring architecture and service method based on DPWS and PetriNets were carried out. In this method, monitoring node selforganized network, dynamic configuration and seamless link were realized by DPWS discovery mechanism. WSDL was used to unify service interface and shield the underlying robot’s heterogeneity. On this basis, PetriNets was utilized to implement the process control of monitoring system, improve the execution efficiency and realtime performance. Taking low voltage electrical assembly as object, system simulation model was established and application software was developed to verify the feasibility of the method. The results indicate that this method can effectively improve monitoring adaptive service performance and execution efficiency. In addition, this method can also provide useful technical support for research and development of monitoring system.
Key words: robot monitoring; DPWS; PetriNets; network architecture; selfadaptive