矿井提升机远程在线监测与故障诊断系统

发布时间：2018-06-17 18:46

本文选题：矿井提升机 + 远程在线监测　；参考：《太原理工大学》2015年硕士论文

【摘要】：提升机是矿山的重要机电设备，素有矿井“咽喉”之称。其运行状况直接影响矿区的生产能力，一旦提升机出现故障，将造成矿区生产工作瘫痪，甚至对工作人员造成伤害，因此，提升机的运行状况一直是安全生产过程中的主要监管对象，对其运行状况进行监控与故障诊断具有重要的实际意义。论文开始对提升机状态监测与故障诊断发展情况进行阐述分析，结合课题实际应用条件，以及矿区通信方式构成，最终确定基于以太网通信技术的提升机远程在线监测与故障诊断的研究方向。文中在系统设计过程中主要结合多信息采集、多信息融合的设计思想，在故障诊断问题中提出SVM与D-S证据算法相结合的信息融合算法模型，，充分实现两种算法的优势互补，取得了较好的效果。本文的主要工作内容有： (1)研究分析提升机状态监测与故障诊断的现实意义，从目前研究的现状总结分析出现有研究的不足。 (2)对提升机自身各部分组成及工作原理进行分析研究，总结出提升机各部分故障类型，在此基础上设计提出本文的监测与故障诊断方法。 (3)详细阐述各部分硬件的选型与各级软件组成及使用。 (4)应用基于多信息融合思想，采用基于SVM和D-S证据理论相结合的故障诊断方法，建立了故障诊断模型，并对模拟故障特征数据进行故障诊断分析。 (5)在实验室内充分模拟论证之后，实现该套监测与故障诊断系统在矿区的成功安装与使用。本套系统可以实现以下功能，矿区三台提升机信息进行远程实时在线的监控管理和不同地域数据的融合；系统和矿区的其他系统存在很大的整合空间与扩展空间；系统可以实现监测信息整个矿区的全网WEB发布；通过基于SVM与D-S证据理论相结合的故障诊断模型很好的实现了故障诊断；同时，系统还具有数据保存功能，方便建立提升机系统故障数据库，为课题的更深入研究提供宝贵的资料，为更好的提高提升机安全运行水平提供保障。
[Abstract]:Hoist is an important mechanical and electrical equipment, known as the mine "throat" said. Its running condition directly affects the production capacity of the mining area. Once the hoist breaks down, the production work in the mining area will be paralyzed, and even the staff will be injured. Therefore, The running condition of hoist is always the main supervision object in the process of safety production. It is of great practical significance to monitor and diagnose the running condition of hoist. The paper begins to elaborate and analyze the status monitoring and fault diagnosis of hoist, combined with the practical application conditions of the subject, and the composition of communication mode in mining area. Finally, the research direction of remote on-line monitoring and fault diagnosis of hoist based on Ethernet communication technology is determined. In the process of system design, this paper mainly combines the design idea of multi-information collection and multi-information fusion, and puts forward the information fusion algorithm model combining SVM and D-S evidence algorithm in fault diagnosis, which fully realizes the complementary advantages of the two algorithms. Good results have been achieved. The main contents of this paper are as follows: 1) the practical significance of studying and analyzing the status monitoring and fault diagnosis of hoist. From the present research situation summary analysis has the research insufficiency. (2) carries on the analysis to the hoist itself each part composition and the work principle, summarizes the hoist each part breakdown type, On this basis, the method of monitoring and fault diagnosis in this paper is designed and put forward. (3) the selection of hardware and the composition and use of software at all levels are described in detail. 4) the application is based on the idea of multi-information fusion. The fault diagnosis model based on SVM and D-S evidence theory is established, and the fault diagnosis analysis of simulated fault characteristic data is carried out. The monitoring and fault diagnosis system is successfully installed and used in mining area. The system can realize the following functions: remote real-time monitoring and management of three hoist information and integration of different regional data, there is a great space for integration and expansion between the system and other systems in the mining area; The system can realize the whole Web release of monitoring information in the whole mining area. The fault diagnosis model based on SVM and D-S evidence theory is used to realize the fault diagnosis. At the same time, the system also has the function of data saving. It is convenient to set up the fault database of hoist system, to provide valuable information for further study of the subject, and to provide guarantee for improving the safe operation level of hoist.
【学位授予单位】：太原理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD633

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