Optimal Maintenance Decision Model for Sensor Network

doi:10.3778/j.issn.1002-8331.2112-0362

Abstract

Abstract: 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.

Key words: optimal maintenance decision, expert system, belief rule base, Wiener process, sensor network

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。

关键词: 最优维护决策, 专家系统, 置信规则库, Wiener过程, 传感器网络

LI Shaohua, GUO He, FENG Jingying, HE Wei. Optimal Maintenance Decision Model for Sensor Network[J]. Computer Engineering and Applications, 2023, 59(8): 315-321.

李绍华, 郭禾, 冯晶莹, 贺维. 传感器网络的最优维护决策模型[J]. 计算机工程与应用, 2023, 59(8): 315-321.

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