工业自动化仪表的远程故障诊断技术应用探讨

Application Discussion on Remote Fault Diagnosis Technology for Industrial Automation Instruments

摘要

围绕工业自动化仪表在复杂工业系统中的运行可靠性与远程运维需求，系统分析远程故障诊断技术在实际工程中的应用路径与实现机制。结合自动化仪表多类型、多工况运行特征，对其常见故障类型与诊断需求进行归纳，并从数据采集、通信传输及多源信息融合等关键环节出发，构建远程诊断技术体系。在此基础上，分析诊断系统的架构组成与工程应用模式，探讨平台化集成与远程运维协同机制。同时，围绕系统安全性、数据可靠性及运维标准化建设等方面，提出保障体系与优化策略。通过技术与管理协同推进，提升工业自动化仪表故障识别效率与运行稳定性，为工业系统安全高效运行提供支撑。

Abstract

Focusing on the operational reliability of industrial automation instruments in complex industrial systems and the demand for remote operation and maintenance,this study systematically analyzes the application pathways and implementation mechanisms of remote fault diagnosis technology in engineering practice.Considering the multi-type and multi-condition operating characteristics of automation instruments,common fault types and diagnostic requirements are summarized.A remote diagnosis technical system is constructed from key aspects such as data acquisition,communication transmission,and multi-source information fusion.On this basis,the architecture and engineering application modes of the diagnostic system are examined,and the mechanisms of platform-based integration and coordinated remote operation and maintenance are discussed.Meanwhile,safeguard systems and optimization strategies are proposed from the perspectives of system security,data reliability,and standardized operation and maintenance.Through the coordinated advancement of technology and management,the efficiency of fault identification and the operational stability of industrial automation instruments are improved,providing support for the safe and efficient operation of industrial systems.

关键词

工业自动化仪表 / 远程故障诊断 / 数据采集 / 通信传输 / 运维管理

Key words

industrial automation instruments / remote fault diagnosis / data acquisition / communication transmission / operation and maintenance management

参考文献

[1] 张恒, 刘竹琴. 基于人工智能的工业仪表故障自动化识别系统设计[J]. 电子设计工程, 2025, 33(24):58-64.

[2] 曾茂林. 自动化仪表常见故障分析及处理措施[J]. 云南冶金, 2025, 54(S1):140-145.

[3] 钱泽伶. 智能气田生产模式中自动化仪表的日常维护与故障处理研究[J]. 仪器仪表用户, 2025, 32(08):43-45.

[4] 王永兴. 自动化仪表故障DCS诊断与远程维护技术[J]. 中国仪器仪表, 2025,(07):89-92.