摘要
传感器网络最优维护决策的目标为用户提供最优的维护时机,维护决策的精度直接决定了传感器网络的可靠性。基于置信规则库(belief rule base,BRB)专家系统提出的最优维护决策模型解决两个问题:检测数据不足和复杂的系统机理。模型由健康状态评估和预测两部分组成:基于BRB模型对传感器网络的健康状态进行评估;根据当前的健康评估状态,利用Wiener过程预测传感器网络的健康状态,以获得最优的维护时机。基于Wiener过程的健康状态预测模型中,由专家提供传感器网络健康状态的最小阈值,以确定最佳的维护时机。为验证模型的有效性,进行了原油存储罐无线传感器网络的最优维护决策实验研究。
Optimal maintenance decision for a sensor network aims to provide the optimal repair time for users.The accuracy of the optimal maintenance decision method directly determines the reliability of the sensor network.In this paper,a new optimal maintenance decision model based on belief rule base(BRB)expert system is developed to solve two problems:the lack of observation data and complex system mechanism.In the new model,two parts exist:the health state assessment and the health state prediction.First,the health state of the sensor network is estimated by a BRB based health assessment model.Then,based on the current health state,a Wiener process is used to predict the health state of the sensor network,and the optimal maintenance time can be obtained.In the Wiener process-based health state prediction model,the minimum threshold of the health state of the sensor network should be provided by experts to determine the optimal maintenance time.To illustrate the effectiveness of the proposed model,a case study for the wireless sensor network of oil storage tank is conducted.
作者
李绍华
郭禾
冯晶莹
贺维
LI Shaohua;GUO He;FENG Jingying;HE Wei(School of Innovation and Entrepreneurship,Dalian University of Foreign Languages,Dalian,Liaoning 116644,China;School of Software Technology,Dalian University of Technology,Dalian,Liaoning 116620,China;Police Information Department,Liaoning Police Academy,Dalian,Liaoning 116036,China;School of Computer Science and Information Engineering,Harbin Normal University,Harbin 150025,China)
出处
《计算机工程与应用》
CSCD
北大核心
2023年第8期315-321,共7页
Computer Engineering and Applications
基金
国家自然科学基金青年项目(61806038)
辽宁省高等学校创新人才项目(WR2019005)
哈尔滨师范大学博士科研启动基金(XKB201905)。
