Data Collection Techniques For HLA-Based Simulation System

High Level Architecture (HLA) has become IEEE 1516 standard and the standard for Distributed Simulation in the world. HLA provides a general framework by means of runtime infrastructure (RTI) for simulation reuse and interoperability.The employments of HLA-based applications in the military fields such as simulations of new weapons and battles are increasing, and data collection (DC) plays a very important part. As an important part of HLA-based simulation system, DC system collects and stores the data during simulation operation, provides information for simulation participants during or after the exercise. It is the foundation of quantitative analysis and feasibility evaluation.First, the dissertation's background, purposes and significance were expatiated, the development of HLA technique and the actual state of the study on the HLA-based DC were generalized, and the structure of this dissertation was provided.Secondly, the specification of HLA and some basic conceptions were introduced. The requirements of our DC system were analyzed and proposed. The HLA DC issues and architectures for HLA DC were analyzed.Thirdly, to satisfy the requirements proposed, an HLA distributed DC system based on intelligent task scheduling was proposed and developed. The system applied the TOPSIS method based on dynamic load balancing, which realized the coordination and decision-making of the system by using entropy method to work out the objective weights for each attribute. The system can support distributed DC, the correlation of multiple log files, data query and analysis on-line, etc., and some key techniques of the system were introduced.Finally, the distributed DC system designed was tested by applying it to an HLA-based simulation, and the advantages of it were illustrated based on its comparison of centralized DC.