制冷设备远程监控平台的研究

发布时间：2018-04-30 03:06

本文选题：制冷设备 + 远程监测　；参考：《杭州电子科技大学》2017年硕士论文

【摘要】：随着我国经济持续快速发展,生产和生活对人工环境的需求面越来越广。大型制冷空调设备在工商业建筑中的使用日趋广泛。制冷设备的维护和状态监测成为必不可少的一项工作。设备的维护和监测是一项技术性强,实时要求性高的工作,以往需要由厂家安排大量技术人员全国各地巡回出差来完成。提高制冷设备维护工作的效率,获取设备生命周期的运行数据,开发一套带有故障诊断功能的制冷设备远程监控平台,对制冷设备制造厂家和用户有着重要的现实意义。在深入研究了制冷设备的信息采集存储、数据分析、故障诊断、信息查询、设备与用户的管理等功能需求,结合监控平台对可靠性、实时性、稳定性、开放性的要求,进行了远程监控平台的总体设计,在此基础上确定了基于B/S模式的监控结构模型,通过对程序设计模式、动态网页交互、数据库的访问与连接等软件关键技术研究,提出了MVC三层技术架构的软件设计思路,并利用SQL完成了关系数据库的设计,通过JDBC技术实现了监控平台的数据库访问,通过JSP、Ajax等技术实现了用户与监控平台的交互。在分析对比现有的故障诊断方法的基础上,采用了基于BP神经网络的故障诊断方法,根据已有的数据,构建了含有8个神经元的输入层、25个神经元的隐含层、7个神经元的输出层的BP神经网络,对制冷机组进行故障诊断,并利用MATLAB对其性能进行了仿真分析,结果表明BP网络具有良好的故障诊断效果。最后,通过JAVA相关编程语言完成了软件编程。对各功能模块进行了测试,结果表明监控平台能够满足用户使用需求,同时具有良好的稳定性与可靠性。
[Abstract]:With the sustained and rapid development of economy in China, the demand for artificial environment is more and more extensive in production and life. Large-scale refrigeration and air-conditioning equipment is widely used in industrial and commercial buildings. The maintenance and condition monitoring of refrigeration equipment has become an essential task. The maintenance and monitoring of equipment is a highly technical, real-time demanding work, in the past, manufacturers need to arrange a large number of technical staff to travel around the country to complete. To improve the efficiency of refrigeration equipment maintenance, to obtain the operation data of equipment life cycle, and to develop a remote monitoring platform of refrigeration equipment with fault diagnosis is of great practical significance for refrigeration equipment manufacturers and users. The functional requirements of refrigeration equipment, such as information collection and storage, data analysis, fault diagnosis, information query, equipment and user management, and the requirements of the monitoring platform for reliability, real-time, stability and openness are deeply studied. The overall design of remote monitoring platform is carried out, and the monitoring structure model based on B / S mode is determined. The key technologies of software, such as program design pattern, dynamic web page interaction, database access and connection, are studied. This paper puts forward the software design idea of MVC three-layer technical framework, and uses SQL to complete the design of relational database, realizes the database access of monitoring platform through JDBC technology, and realizes the interaction between user and monitoring platform by means of JSP Ajax technology and so on. On the basis of analyzing and comparing the existing methods of fault diagnosis, the method of fault diagnosis based on BP neural network is adopted, and according to the existing data, A BP neural network with 8 input layers, 25 hidden layers and 7 output layers is constructed to diagnose the fault of the refrigeration unit, and its performance is simulated by MATLAB. The results show that BP neural network has good fault diagnosis effect. Finally, the software programming is completed by JAVA programming language. The results show that the monitoring platform can meet the needs of users and has good stability and reliability.
【学位授予单位】：杭州电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB657;TP277

【参考文献】