基于数字装备的测控装备健康监测系统设计与实现

Design and Implementation of Health Monitoring System of Measurement Equipment Based on Combination of Data and Reality

摘要:

针对测控业务领域装备种类多、型号杂、布站分散、技术保障人力不足、远程技术协助手段落后等实际问题，结合测控装备自身特点和运维保障规律，提出了采用数字技术构建测控装备三维模型、信息流程逻辑模型，实现功能级数字测控装备的建立。同时实际装备上通过各种状态信息感知器采集实际装备状态信息，利用软件编程技术将各个感知器采集的信息进行处理、格式编排、打包处理，并利用数字装备和实体装备间物联网络使数实装备实现网络互联，实现数字装备和实体装备的状态数据一致、状态同步，实现基于数字测控装备健康监测,并可利用数实同步有效的评估装备状态、进行故障诊断。同时可利用算法实现智能学习，迭代更新数字装备状态信息库；并可根据装备状态信息库分析装备状态走势，对装备健康趋势预估，实现了运维保障数字化。

Abstract:

In view of the practical problems in the field of measurement and control business, such as various types of equipment, miscellaneous models, scattered distribution stations, insufficient technical support manpower, and backward remote technical assistance means, combined with the characteristics of measurement and control equipment and the laws of operation and maintenance, it is proposed to use digital technology to build a three-dimensional model of measurement and control equipment and an information flow logic model to establish functional digital measurement and control equipment. At the same time, actual equipment status information is collected through various status information perceptrons. The information collected by each perceptron is processed, formatted, and packaged using software programming technology. Moreover, the Internet of Things network between digital equipment and physical equipment is used to realize network interconnection between digital and physical equipment so that the status data of both types are consistent and synchronized. This aims to achieve health monitoring of equipment based on digital measurement and control while enabling synchronous fault diagnosis evaluation. Additionally, algorithms can be utilized for intelligent learning iteratively updating the state information base for digital equipment. Equipment trend analysis can be conducted based on this information base allowing prediction of health trends which enables digitized operation and maintenance guarantee.