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液压元件性能试验综合数据管理系统研究

发布时间:2019-01-04 16:39
【摘要】:液压系统作为发射车不可或缺的组成部分,其液压元件试验数据的有效管理是面临的一大挑战。一直以来我国车载液压系统试验技术相对较落后,这主要表现在对零部件、组件和系统在加工、检测、试验和系统调试过程中各阶段的定量监控和评价,更缺乏全过程监控和定量、全面、综合的监测与控制。如何有序、安全、智能地管理这些花费了大量时间和精力得来的试验数据,并通过可视化手段实现数据的使用和挖掘,同时不断积累形成历史试验数据库,已成为支撑液压试验系统研究的一项迫切需求。随着液压系统的复杂化和集成化,其故障诊断也变得十分困难,传统的检修模式已不能满足需要,液压系统智能故障诊断技术也由此变得更加重要。 在液压系统性能试验领域,实现数据高速采集和试验数据有效管理,形成历史支撑数据库,,设计合理的故障诊断系统,从而使数据记录为实验、设计、工艺改进等提供重要的参考价值并且能够快速高效监测故障,已成为一种主流方式。本文以液压缸为测控对象,将虚拟仪器技术、数据采集技术、数据库技术、数据传输技术和故障诊断技术相结合,开发了具有多路数据采集和分析、分布式网络化数据传输和管理、远程控制与数据查询以及故障诊断功能为一体的液压实验综合数据管理系统,提出了一种分布式液压系统的可视化数据处理方法。 本文的主要工作包括液压元件性能试验综合数据管理系统总体方案研究和关键技术研究以及系统软件设计和性能测试。采用软硬件相结合的方式,将传感器采集到的模拟信号经过调理模块滤波、降噪等处理后,传输到A/D转换器转换,通过数据采集卡传输到软件系统中进行分析、存储、监控等处理。软件系统分为三个子系统,实时数据管理子系统、历史数据管理子系统和故障诊断专家子系统。该系统基于LabVIEW平台设计实现了数据的高速采集和存储,数据的时域和频域分析,远程监控和查询以及故障诊断。采用模块化理念,提高了系统的开发和管理效率。通过实验和测试,证明了系统是有效和可靠的。
[Abstract]:As an integral part of the launching vehicle, the hydraulic system is an integral part of the launching vehicle, and the effective management of the test data of its hydraulic components is a major challenge. The test technology of the on-board hydraulic system has been relatively backward for the long time, which is mainly manifested in the quantitative monitoring and evaluation of components, components and systems in the process of processing, testing, testing and system debugging, and the whole process of monitoring and quantitative and comprehensive, Comprehensive monitoring and control. It is an urgent need to support the research of the hydraulic test system. With the complication and integration of the hydraulic system, the fault diagnosis of the hydraulic system becomes very difficult, and the traditional maintenance mode is not sufficient, and the intelligent fault diagnosis technology of the hydraulic system becomes more important. in that field of the performance test of the hydraulic system, the effective management of data high-speed acquisition and test data is realized, a history support database is formed, a reasonable fault diagnosis system is design, The meter, process improvement, etc. provide important reference value and can quickly and efficiently monitor the fault, has become a mainstream party By combining virtual instrument technology, data acquisition technology, database technology, data transmission technology and fault diagnosis technology, a multi-channel data acquisition and analysis, distributed network data transmission and tube are developed by combining virtual instrument technology, data acquisition technology, database technology, data transmission technology and fault diagnosis technology. The hydraulic experimental comprehensive data management system, which is integrated with the data query and the fault diagnosis function, presents a visual data-processing party of the distributed hydraulic system. Method. The main work of this paper includes the general scheme research and key technology research of the comprehensive data management system for the performance test of the hydraulic components and the design and performance of the system software. It can be tested. After the analog signal collected by the sensor is processed by conditioning module filtering and noise reduction, the analog signal collected by the sensor is transmitted to the A/ D converter for conversion after being processed by the conditioning module filtering, noise reduction and the like, and the data acquisition card is transmitted to the software system for analysis, storage and monitoring. The software system is divided into three subsystems, real-time data management subsystem, historical data management subsystem and fault diagnosis expert The system based on LabVIEW platform is designed to realize the high-speed acquisition and storage of data, time-domain and frequency-domain analysis of data, remote monitoring and query, and so on. Obstacle diagnosis. The modular concept is used to improve the development and management of the system. The efficiency of the system is proved by the experiment and the test.
【学位授予单位】:中北大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP311.52;TH137

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