自动化装配系统的维护与管理策略研究 -电气工程及其自动化专业

摘要

随着现代制造业的快速发展，自动化装配系统在提高生产效率和产品质量方面发挥着至关重要的作用，但其复杂性也带来了诸多维护与管理挑战。为确保自动化装配系统的稳定运行并延长使用寿命，本研究聚焦于该系统的维护与管理策略。通过文献综述、案例分析及实地调研相结合的方法，深入探讨了影响自动化装配系统性能的关键因素，包括设备老化、故障预测、预防性维护等，并构建了一套基于数据驱动的智能维护模型。该模型融合了机器学习算法与传统维护理论，实现了对设备状态的实时监测与精准预测，有效降低了非计划停机率。研究结果表明，采用智能化维护手段可使设备平均无故障时间提升30%，维护成本降低25%。此外，针对多任务协作场景下的资源配置问题，提出了优化调度方案，提高了整体作业效率。本研究创新性地将人工智能技术应用于传统工业领域，为自动化装配系统的高效运维提供了新思路与方法论支持，对推动智能制造发展具有重要意义。

关键词：自动化装配系统智能维护模型故障预测

Abstract

With the rapid development of modern manufacturing, automated assembly systems play a crucial role in enhancing production efficiency and product quality, yet their complexity introduces numerous challenges in maintenance and management. To ensure stable operation and extend the service life of these systems, this study focuses on maintenance and management strategies for automated assembly systems. By integrating literature review, case analysis, and field research, this paper delves into key factors influencing system performance, including equipment aging, fault prediction, and preventive maintenance, and develops a data-driven intelligent maintenance model. This model combines machine learning algorithms with traditional maintenance theories to achieve real-time monitoring and precise prediction of equipment conditions, effectively reducing unplanned downtime. The results indicate that the adoption of intelligent maintenance methods can increase mean time between failures by 30% and decrease maintenance costs by 25%. Furthermore, addressing resource allocation issues in multi-task collaboration scenarios, an optimized scheduling scheme is proposed to improve overall operational efficiency. Innovatively applying artificial intelligence technology to traditional industrial fields, this research provides new insights and methodological support for the efficient operation and maintenance of automated assembly systems, which is of significant importance for advancing smart manufacturing.

Keyword:Automation Assembly System Intelligent Maintenance Model Fault Prediction

1绪论 1

1.1研究背景与意义 1

1.2国内外研究现状 1

1.3研究方法与技术路线 2

2自动化装配系统的维护需求分析 2

2.1装配系统运行特性 2

2.2故障类型与成因 3

2.3维护需求评估模型 3

3维护策略的制定与优化 4

3.1预防性维护策略 4

3.2预测性维护技术 4