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Data Collection Techniques for HLA-Based Simulation System

Author: YueLin
Tutor: WangZiCai
School: Harbin Institute of Technology
Course: Control Science and Engineering
Keywords: HLA Distributed Data Collection Coordination and decision
CLC: TP391.9
Type: Master's thesis
Year: 2007
Downloads: 181
Quote: 1
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Abstract


High Level Architecture (High Level Architecture, referred HLA) in September 2000 was identified as the IEEE 1516 standard , and has become an international universal standard distributed simulation . RTI provides support environment by running generic, relatively independent of the support services program, to promote a good interoperability and reusability . In recent years , HLA simulation performance in high-tech weapons , military exercises and other military simulation is used widely in the field of data collection also play a very important role. Data collection system as a simulation system based on HLA important part of the process of collecting and storing simulation run all the data in real-time simulation or emulation for the simulation participants completed a variety of information about the simulation , quantitative analysis and important basis for assessment letter . This paper describes the background of the subject , purpose and significance of the HLA simulation technology development and data collection techniques based on HLA research status at home and abroad a comprehensive explanation , and gives this organizational structure. Secondly, an overview of the HLA specification and some basic concepts , analyzes the difficulties of data collection in HLA , HLA-based data collection forms and strengths and weaknesses of the general implementation , studied and proposed data collection systems. Again, for the proposed data collection system requirements, proposed and implemented a distributed task scheduling based on intelligent data collection programs . The program uses a dynamic load balancing based on TOPSIS multi- attribute decision making algorithm to achieve system coordination decision-making process , and apply entropy method to solve this algorithm weights each attribute . With this design, the development of a data collection system based on HLA HIT-DCS, a distributed data collection, online data integration, query and analysis functions. Discussed the system implementation process of some key technologies. Finally , the design of a simulation based on HLA , for the realization of distributed data collection system for application testing , and through a centralized data collection system comparing the test results show that the data collection system in large-scale simulation advantage.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Computer simulation
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