摘 要
随着工业4.0的推进和智能制造技术的发展，工业自动化控制系统在现代生产中的地位日益重要，其高效性、可靠性和灵活性成为提升企业竞争力的关键因素。本研究以可编程逻辑控制器（PLC）为核心，设计并实现了一种适用于复杂工业环境的自动化控制系统该系统通过集成先进的传感器网络、数据采集模块以及优化的控制算法，实现了对生产设备的实时监测与精准控制在研究过程中，采用模块化设计理念，将系统划分为数据采集层、控制执行层和人机交互层，并基于梯形图语言完成了关键控制逻辑的编程此外，为提高系统的鲁棒性，引入了故障诊断机制和冗余备份策略经过实际测试验证，该系统能够显著降低生产过程中的误差率，提高设备运行效率，并具备较强的抗干扰能力与传统控制系统相比，本研究的主要创新点在于融合了多源异构数据处理技术和自适应控制算法，从而增强了系统的智能化水平和适应能力研究成果不仅为工业自动化领域提供了新的技术参考，还为未来智能工厂的建设奠定了坚实基础
关键词：工业自动化控制系统；可编程逻辑控制器（PLC）；多源异构数据处理；自适应控制算法；故障诊断机制
ABSTRACT
With the advancement of Industry 4.0 and the development of intelligent manufacturing technologies, industrial automation control systems are playing an increasingly important role in modern production, where their efficiency, reliability, and flexibility have become critical factors in enhancing corporate competitiveness. This study focuses on the design and implementation of an automation control system centered around a Programmable Logic Controller (PLC), which is tailored for complex industrial environments. By integrating advanced sensor networks, data acquisition modules, and optimized control algorithms, the system achieves real-time monitoring and precise control of production equipment. During the research process, a modular design philosophy was adopted, dividing the system into three layers: the data acquisition layer, the control execution layer, and the human-machine interaction layer. Key control logics were programmed using ladder diagram language. To enhance the robustness of the system, fault diagnosis mechanisms and redundant backup strategies were introduced. Through practical testing and validation, the system has been shown to significantly reduce error rates in production processes, improve equipment operational efficiency, and demonstrate strong interference resistance. Compared with traditional control systems, the primary innovation of this study lies in the integration of multi-source heterogeneous data processing technology and adaptive control algorithms, thereby enhancing the intelligence level and adaptability of the system. The research outcomes not only provide new technical references for the field of industrial automation but also lay a solid foundation for the construction of future smart factories.
Keywords: Industrial Automation Control System; Programmable Logic Controller (PLC); Multi-Source Heterogeneous Data Processing; Adaptive Control Algorithm; Fault Diagnosis Mechanism
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 工业自动化与PLC技术的发展背景 1
1.2 基于PLC的控制系统设计的意义 1
1.3 国内外研究现状分析 2
1.4 本文研究方法与技术路线 2
第2章 PLC控制系统的基本原理与架构设计 3
2.1 PLC的工作原理与功能特点 3
2.2 控制系统架构的设计原则 3
2.3 输入输出模块的选择与配置 4
2.4 系统通信协议的实现方式 4
2.5 控制算法在PLC中的应用 5
第3章 基于PLC的工业自动化控制系统的硬件设计 6
3.1 硬件选型与性能要求 6
3.2 传感器与执行器的集成设计 6
3.3 电气线路的设计与优化 7
3.4 系统抗干扰能力的提升策略 7
3.5 硬件测试与故障诊断方法 8
第4章 基于PLC的工业自动化控制系统的软件开发与实现 9
4.1 软件开发环境与工具选择 9
4.2 程序逻辑设计与流程优化 9
4.3 数据采集与处理的实现方法 10
4.4 人机交互界面的设计与实现 10
4.5 系统调试与性能评估 11
结论 12
参考文献 13
致 谢 14
