中文摘要：

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。

英文摘要：

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.