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在基于PLC的工业自动化系统中,数据损失和根据延迟的同步

Ayah Hijazi¹, Mátyás Andó¹, Zoltán Pödör¹

¹Institute of Computer Science, Faculty of Informatics, ELTE Eötvös Loránd University, Budapest, Hungary.

|September 23, 2024

概括

本研究通过分析可编程逻辑控制器 (PLC) 同步处理工业自动化中的数据损失. 一种新的延迟计算方法实现了毫秒级的后同步精度,揭示了缺失数据的原因.

科学领域:

工业自动化和控制系统
数据获取和管理数据.
实时数据同步实时数据同步

背景情况:

可编程逻辑控制器 (PLC) 对于工业数据收集至关重要.
PLC和数据库之间的数据管道面临同步挑战,导致时间延迟和潜在的数据丢失.
了解这些延迟对于保持自动化系统中的数据完整性至关重要.

研究的目的:

调查基于PLC的数据收集中的时间延迟和数据丢失.
在TIA软件中以1Hz时钟频率分析计数器网络的同步行为.
开发一种准确的后同步和缺失数据识别方法.

主要方法:

在 PLC 的 TIA 软件中对四个计数网络进行了实验.
使用Node-RED来监控计数器行为和时间记录.
在四个不同的数据库中存储数据:MSSQL,MySQL,MongoDB和Apache Cassandra.
开发了一种独特的延迟计算方法来分析同步不一致性.

主要成果:

在计数值中遇到不一致,并在多个测试中发现缺失的数据.
发现缺失值因Node-RED和PLC循环时间的差异而有所不同.
使用开发的延迟计算方法,实现了以毫秒级准确度的后同步.

结论:

该研究成功地确定了PLC数据收集管道中数据丢失的根本原因.
开发的延迟计算方法可以实现准确的后同步,减轻数据丢失问题.
这些发现对于优化工业自动化系统和确保可靠的数据采集至关重要.

关键词:

缺失的值是指缺失的值.在节点-RED中.这是一个PLC,PLC是PLC.同步的同步是同步的同步.时间延迟时间延迟

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