Distributed Intelligent Interface for Life Cycle Integrity Monitoring

本研究项目于1997年启动，旨在提高核电站、航天飞机、飞机等大型人工制品的可靠性和安全性。该项目背后的主要思想是相信，改进预防性维护，特别强调具有覆盖整个工厂生命周期的广阔前景的状态维护，是满足需求的中心问题。此外，基于对条件决策所需数据库技术的本质是智能接口的基本认识，重点研究了以下三项关键技术：(A)具有进化适应性的生命周期数据库，用于基于状态的维修支持；(B)监测和诊断工具的移动代理实现；(C)用于智能信息获取的面向目标的感知。在子项目-(A)中，利用ZIZI…引入了一种高效的数据搜索方案更详细地介绍了被称为部分相似性指数的相似性指数和按家族定义的相似性指数。该搜索方案被用作解决维修问题的技术基础决策支持系统。数据库的高度可修改性也被证实有助于数据库的演变发展。在子项目(B)中，监测和诊断工具是通过移动代理技术开发和实现的，允许动态任务分配和演化以适应计算负载集中和技术创新；在子项目(C)中，技术开发的本质是面向目标的感知，这意味着传统和移动感知系统的协同使用。移动传感器的位置确定是基于传统传感系统的测量和基于贝叶斯网络模型的因果推理。这项研究清楚地表明，拟议的技术作为以条件为基础的维修支助系统的重要组成部分，在确保生命周期完整性方面具有很高的潜力。较少

The present research project was launched in 1997 aiming at improving the reliability and safety of large-scale artifacts such as a nuclear power plant, space shuttle, aircraft, etc. The main idea behind the project is the belief that the improvement of preventive maintenance, with particular emphasis on the condition-based maintenance with a broad perspective covering the whole plant lifetime, is the central issue to meet the need.Furthermore, base on the fundamental recognition that the essential nature of the required database technique for condition-based decision-making is the intelligent interface, efforts were centered in development of the three key-techniques described below :(a) Lifecycle database with evolutionary adaptability for condition-based maintenance support,(b) Mobile-agent implementation of monitoring and diagnosis tools,(c) Goal-oriented sensing for intelligent information acquisition.In the subproject-(a), an efficient data search scheme was introduced by utilizi … More ng a specifically introduced similarity indices called partial and heirarchically-defined similarity index. The search scheme was found to be used as a technical basis decision-support system for maintenance problem solving. The high modifiability of the database was also confirmed to be useful for evolutionary development of the database. In the subproject-(b), the monitoring and diagnosis tools were developed and implemented by the mobile-agent technique, which allowed dynamic task allocation and evolution to accommodate computational load focusing and technology innovation.The essence of technical development in the subproject-(c) is the goal-oriented sensing, which implied cooperative use of conventional and mobile sensing systems. The locations of the mobile sensor were determined based of the measurement by the conventional sensing system and the causal reasoning based on the model called Bayesian net. The high potentiality of the proposed techniques as essential constituents of the condition-based maintenance support system for ensuring life cycle integrity was clearly demonstrated through the study. Less