Optimized Design of Instrument Test Platforms for Industrial Sites

Abstract

Instrument test platforms for industrial sites are key means to improve product quality, shorten R&D cycles, and support reliability verification. This paper systematically elaborates on the overall architecture and functional modules of such platforms, proposes an optimized design strategy based on virtual instrumentation, parameter optimization, multi-physics simulation, and remote monitoring, and discusses the implementation paths of key technologies such as fault injection, power management, and digital twin integration. Through engineering cases of power equipment and automotive ADAS test platforms, the effectiveness of the platform in improving testing accuracy, efficiency, and safety is validated. Looking ahead, test platforms will continue to evolve toward intelligence, digitalization, and modularization, becoming essential support systems for industrial intelligent testing and collaborative verification. The research presented in this paper provides a theoretical basis and practical reference for the design and implementation of test platforms under complex operating conditions.