Multiagent Architecture for Bridge Capacity Measurement System Using Wireless Sensor Network and Weight in Motion

被引:20
作者
Putra, Seno Adi [1 ]
Trilaksono, Bambang Riyanto [2 ]
Riyansyah, Muhammad [2 ]
Laila, Dina Shona [3 ,4 ]
机构
[1] Telkom Univ, Cybernet Res Grp, Sch Ind & Syst Engn, Enterprise Intelligent Syst Lab, Bandung 40257, Indonesia
[2] Inst Teknol Bandung ITB, Bandung 40132, Indonesia
[3] Coventry Univ, Sch Mech Aerosp & Automot Engn, Coventry, W Midlands, England
[4] Univ Teknol Brunei, Fac Engn, Elect & Elect Engn Dept, Bandar Seri Begawan BE1410, Brunei
关键词
Bridge capacity measurement; in-network processing; mobile agent; multiagent system; wireless sensor network (WSN); MOBILE AGENTS;
D O I
10.1109/TIM.2020.3031126
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Wireless sensor network (WSN) has played important roles in various aspects of life including in bridge structural health monitoring system. Due to environmental and operational circumstances, a bridge needs to be monitored to make sure its continuous availability and operational safety. The structural stiffness of a bridge will decrease after some period of time due to structural strength declining and cracking. The change in bending stiffness will change the structural dynamic characteristics of the bridge and its capacity. Therefore, an automatic assessment system for bridge capacity is required. This article proposes the development of data acquisition and processing method for bridge capacity determination using its dynamic response, based on agent-based in-network processing. The use of WSN in bridge capacity monitoring and diagnostic also allows for sending warning messages to the control room. Experiment in the laboratory-scale bridge is performed to test the proposed system performance and the result was well validated with the finite-element analysis (FEA) results with modal assurance criterion value 0.90 that shows the high correlation degree between the FEA and the experiment. In addition, the processing time and energy consumption are compared with previous similar work, which shows the efficiency of the proposed system.
引用
收藏
页数:14
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