Research on Multi Agent Data Acquisition and Processing Technology of Distributed Network

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In this paper, it proposed the function structure of distributed network data acquisition and processing system; based on the analysis of Agent, Agent principle and functional module, according to the characteristic of the servo control system fault diagnosis which is the electro-hydraulic position of the electrical and mechanical equipment, it puts a data acquisition and diagnosis system of Agent network structure, the specific function of the dynamic monitoring control Agent and fault identification Agent, it establishes their models and discusses the multi Agent coordination mechanism, the task decomposition and the control strategy of fault diagnosis.

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2013-2019

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September 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] D Gavalas, D Greenwood, M Ghanbari, M O'Mahony. Advanced network monitoring applications based on mobile/intelligent agent technology [J], Computer Communications, 2000, 23: 720-730.

DOI: 10.1016/s0140-3664(99)00232-7

Google Scholar

[2] Fu Chuang, Ye Luqing, Xiong Fengxia, Cheng Yuanchu. MAS-Based Model for Intelligent Control-Maintenance-Management System [J], Computer Integrated Manufacturing Systems, 2002, 8 (10): 786-791.

Google Scholar

[3] GEORGREFF M J, LANSKY A L. Procedural knowledge [A], Proc. IEEE, Special Issue on Knowledge Representation[C], IEEE, 2006: 1383-1398.

Google Scholar

[4] MULL ER J P, PISCHEL M. An architecture for dynamically in2teracting agents [J], Int. Jour. Int. Coop. Inform. Sys, 2004, 3(1): 25-45.

Google Scholar

[5] HEIKIL F T, RZNONG J. PEM-modeling: a framework for designing intelligent robot control [J], Journal of Robotics and Mechatronics, 2002, 4 (5): 437-444.

Google Scholar

[6] Pan Bangchuan. Architecture of Multi-Agents System and Cooperation [D], HeFei University of Technology, 2002, 6.

Google Scholar

[7] V. Botti, F. Barber, Don McKay, A. Crespo. A temporal blackboard for a multi-agent environment [J], Data & Knowledge Engineering, 2005, 15: 189-211.

DOI: 10.1016/0169-023x(95)00007-f

Google Scholar

[8] Zuo Wanli. Research of Intelligent Fault Diagnosis System Based on Multi agent [J], Computer and Modernization, 2003, 8: 4-6.

Google Scholar

[9] Fan Youping, Huang Xitan, Chai Yi. Reconfiguration of Fault Diagnosis Multi-Agent Based on Cell Immune Response Theory [J], Journal of System Simulation, 2003, 15 (1): 50-55.

Google Scholar

[10] Shi Zhongzhi. Advanced Artificial Intelligence [M], Beijing: Science Press, (2000).

Google Scholar

[11] Qiu Yinan, Jiang Weijin. Modeling and Application of Complex Diagnosis Distributed Intelligence Based On MAS [J]. Computer Engineering and Applications, 2004, 29: 142-146.

Google Scholar

[12] He Yongyong, Zhu Fulei, Chen Zhenyong. On Intelligent Diagnosis Prototype Systems for Multi-Agent Based Distributed Faults [J], 2007, 24 (1): 88-92.

Google Scholar