动力炉控制系统故障监测和诊断系统的设计与实现

【作者】 徐向明；

【导师】 许文波； 朱华年；

【作者基本信息】 电子科技大学 ， 软件工程， 2012， 硕士

【摘要】 动力炉是公司生产链中重要的一环，其主要任务是提供合格品质的蒸汽。随着科学技术的不断提高，公司生产技术也快速步入自动化，智能化。动力炉自动化发展更是迅速，其正向高集成化、高智能化方向发展，控制回路多，程序复杂，由此对故障诊断技术应用的迫切性与日俱增。本论文是动力炉故障诊断研究领域中面向对象方法和人工智能技术综合应用方向分支的深入研究，并在此基础上设计开发动力炉故障诊断与监测系统。首先在知识获取、知识表达和知识库的构建中都采用了较新的构建方式，知识库建立采用了领域深知识和经验浅知识有机结合的方式，建立了基于结构与功能的层次分解模型，并在知识表达和存储中大力采用数据库技术；其次，本文通过对前人有关动力炉故障诊断方法模型的学习与分析，采用数据库技术、PLC控制以及面向对象的编程语言，设计以神经网络与专家知识为推理策略的控制系统，实现对动力炉故障检测、诊断及排除。更多还原

【Abstract】 The power boiler is an important part of the company’s production chain, whosemain task is to provide qualified quality steam. With the continuous improvement ofscience and technology, production technology has entered quickly into the automationand intelligence. The development automation of the power boiler is more rapid and isevolving into high integration, high intelligent. In addition, there are many control loopand the complexity of the procedure, which the urgency of the fault diagnosistechnology is growing with each passing day.This paper is oriented in-depth study of the comprehensive application of thedirection of a branch of the object methods and artificial intelligence technology in thepower boiler fault diagnosis research area, and power boiler fault diagnosis andmonitoring system have been designed and developed on this basis. Firstly, this articleuses a relatively new way to build knowledge acquisition, knowledge representation andknowledge base. Knowledge base is established by means of a combination of areas ofdeep knowledge and experience shallow knowledge, and then a hierarchicaldecomposition model is built based on the structure and function, with vigorously usingdatabase technology in knowledge representation and storage. Secondly, through thestudy and analysis of previous power furnace fault diagnosis method model, this paperhas used database technology, PLC control, and object-oriented programming languageto design control system based on neural networks and expert knowledge and to achievepower furnace fault detection, diagnosis and troubleshooting.更多还原