Spectrum analysis and anti-interference optimization of communication interference in chemical DCS system
化工DCS系统通信干扰的频谱分析与抗干扰优化

摘要

化工过程控制中，分布式控制系统（DCS）的通信链路常受到复杂电磁环境影响，干扰信号频繁出现，导致控制精度与运行安全性下降。本文以DCS系统通信信道为研究对象，运用频谱分析方法识别干扰源特征，揭示不同干扰在频域的分布规律。基于此，提出多维抗干扰优化策略，包括滤波算法改进、通信参数自适应调整及硬件隔离优化。实验结果表明，该方法可有效降低干扰强度，提高信号完整性与系统稳定性，为化工生产安全与可靠运行提供技术支撑。

Abstract

In chemical process control systems, communication links of Distributed Control Systems (DCS) are frequently impacted by complex electromagnetic environments, where interference signals often emerge, leading to reduced control accuracy and operational safety. This study focuses on DCS system communication channels, employing spectral analysis methods to identify interference source characteristics and reveal frequency-domain distribution patterns of various disturbances. Based on these findings, we propose a multi-dimensional anti-interference optimization strategy comprising filter algorithm improvements, adaptive adjustment of communication parameters, and hardware isolation optimization. Experimental results demonstrate that this approach effectively reduces interference intensity while enhancing signal integrity and system stability, providing technical support for ensuring safe and reliable chemical production operations.