Implementation of the Model for Identifying and Referring Hardware in Complex Simulation Systems

DOI

10.2991/kam-15.2015.19How to use a DOI?

Keywords

simulation; hardware API; detection and maintenance; reusability.

Abstract

This paper focuses on complex simulation systems with a large-scale of hardware controlled items to resolve the problems about the identification, sampling driving, transformation and reference of hardware items. A formal resolving model with its software supporting system is presented to decouple the interdependence between hardware driving developers and application developers, avoid repeatedly developing on similar works and enable the seamless integration of hardware driving routines and application programs. The controlled items are identified and referred in a two-dimensional notation and implemented by an encoding transmission technology to pack message packets. A reusable API(Application Programming Interface) system supporting the two-dimensional notation is realized. The interface system makes specific hardware devices, network medium and application deployment transparent based on external configuration files (hardware configuration files and a net configuration file). In addition, it supports the auto-detections on hardware detection online and precision maintenance by priority transmission packets. The notation and its reusable supporting system can be used in hardware-related systems especially in man-in-loop simulators to make the developing efficiently and the integrating seamlessly and easily.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhang Zhichun
AU  - Xiao Jingxin
AU  - He Yun
AU  - Zhao Zhenpen
AU  - Tang Shengquan
AU  - Bu Jian
PY  - 2015/06
DA  - 2015/06
TI  - Implementation of the Model for Identifying and Referring Hardware in Complex Simulation Systems
BT  - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
PB  - Atlantis Press
SP  - 67
EP  - 70
SN  - 1951-6851
UR  - https://doi.org/10.2991/kam-15.2015.19
DO  - 10.2991/kam-15.2015.19
ID  - Zhichun2015/06
ER  -