Research on the health status monitoring model and monitoring system of destruction equipment for high-risk goods based on the fuzzy combination mode

Hongyuan Zhang, Yanliang Li, Jing Zhang
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引用次数: 2

Abstract

The high-risk and complexity of highly dangerous goods destruction need urgently a deep analysis and judgment to the variety health status of destroyed equipment in operation to ensure the operations safety,so the health status monitoring model of destruction equipment was constructed. In this paper it determined the operating status monitoring parameters and equipment unit parameters by reliability and pre-risk analysis, studied the health trends judgment methods of operating status parameters by statistical process control (SPC) and equipment PLC combination, the health status analysis methods of the operating state parameters subsystem related equipment based on the Profust. Finally it composed both analysis methods to judge the health status of destroyed equipment. While it builds the health status monitoring network of destruction equipment, the hardware and software part of actual destruction system. The model provides a new way for the establishment of high-risk operations equipment health status monitoring systems based on PHM.
基于模糊组合模式的高风险物品销毁设备健康状态监测模型及监测系统研究
高度危险物品销毁的高风险和复杂性迫切需要对被毁设备在运行中的各种健康状态进行深入的分析和判断,以确保作业安全,因此构建了销毁设备健康状态监测模型。本文通过可靠性和预风险分析确定了运行状态监测参数和设备单元参数,研究了基于统计过程控制(SPC)和设备PLC相结合的运行状态参数健康趋势判断方法,以及基于Profust的运行状态参数子系统相关设备健康状态分析方法。最后将这两种分析方法结合起来,判断被毁设备的健康状况。在构建销毁设备健康状态监测网络的同时,构建了实际销毁系统的硬件和软件部分。该模型为基于PHM的高风险作业设备健康状态监测系统的建立提供了一种新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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