无线传感器网络设备维修周期决策及支持软件研究  

Research on maintenance cycle decision and support system design for wireless sensor network equipment

作　　者：刘歌群[1] 闫金银[1] 张冬冬[1] 

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《计算机应用研究》2011年第9期3393-3397,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目(61074087);国家教育部博士点基金资助项目(20103120110008);上海市基础研究重点资助项目(09JC1408000);上海市科学技术委员会重点攻关计划资助项目(072305126);上海市重点学科建设资助项目(S30501)

摘　　要：无线传感器网络设备因为数量庞大,维修维护事项庞杂,维修周期需要决策优化。基于状态维修理论研究了无线传感器网络设备面向节能减排的维修周期决策问题,给出了三类事项的费用模型和基于粒子群算法的智能优化方法;基于WinCC开发了维修决策支持软件系统、软件所集成的事项知识和所决策的维修时机,可以有效地指导无线传感器网络设备的维修工作。Maintenance cycle decision is an issue needed to be taken into account for wireless sensor network for it has too many equipment and too many kinds of maintenance events.This paper studied the issue based on case-based maintenance theory for energy-saving and emission-reducing purpose.It gave the models of anticipated loss of maintenance and failure for three types of maintenance events.Followed was a particle swarm optimization algorithm to solve the nonlinear maintenance cycle decision problem.Based on the models and the algorithm,developed a decision support software under the WinCC environment.The software can forcefully support the maintenance of wireless sensor network equipments with the in-line knowledge and the maintenance time worked out.

关 键 词：无线传感器网络 维修周期决策 决策支持系统 粒子群算法 WINCC 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]