CoCoMo: Toward controllable and reliable corrosion monitoring with a wireless sensor network

被引:2
作者
Sun, Guodong [1 ,2 ]
Yang, Gaoxiang [1 ,2 ]
Guo, Bingbing [3 ]
机构
[1] Beijing Forestry Univ, Coll Informat Sci & Technol, 35 Tsinghua East Rd, Beijing 100083, Peoples R China
[2] Beijing Forestry Univ, Embedded Networked Syst Lab, Beijing, Peoples R China
[3] Harbin Inst Technol, Sch Civil Engn, Harbin, Heilongjiang, Peoples R China
关键词
Wireless sensor network; corrosion monitoring; two-way control; reliable transmission; virtual control panel; STEEL CORROSION; CONCRETE;
D O I
10.1177/1550147717734525
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Corrosion monitoring is highly needed in concrete-steel civil engineering applications. By the corrosion information captured from structures, field experts can deduce where the corrosion events occur and how they will possibly evolve. However, traditional approaches are either based on high-cost manual operations or unable to support user's control once the data collection starts. This article presents a corrosion-monitoring framework, called CoCoMo, based on embedded sensing and wireless networking technologies, aimed at achieving long-term and controllable corrosion monitoring. CoCoMo involves corrosion-detecting devices, well-designed wireless networking protocols, and the visual user interface which not only displays collected corrosion data but also serves as command-issuing agent. We finally build a small-scale test-bed to evaluate the feasibility and the transmission reliability of CoCoMo.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 24 条
[1]  
[Anonymous], 2013, Technical report
[2]   Wireless sensor networks for structure health monitoring: recent advances and future research directions [J].
Aygun, Bengi ;
Gungor, Vehbi Cagri .
SENSOR REVIEW, 2011, 31 (03) :261-276
[3]  
Azpilicueta L., 2016, SENSORS, V16
[4]   High-Performance Wireless Piezoelectric Sensor Network for Distributed Structural Health Monitoring [J].
Gao, Shang ;
Dai, Xuewu ;
Liu, Zheng ;
Tian, Guiyun .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2016,
[5]   Neuro-Fuzzy Cost Estimation Model Enhanced by Fast Messy Genetic Algorithms for Semiconductor Hookup Construction [J].
Hsiao, Fan-Yi ;
Wang, Shih-Hsu ;
Wang, Wei-Chih ;
Wen, Chao-Pao .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2012, 27 (10) :764-781
[6]   Monitoring of steel corrosion in concrete by electrode arrays and electrical resistance probes [J].
Legat, A. .
ELECTROCHIMICA ACTA, 2007, 52 (27) :7590-7598
[7]   Corrosion Monitoring and Evaluation of Reinforced Concrete Structures Utilizing the Ultrasonic Guided Wave Technique [J].
Li, Dongsheng ;
Zhang, Shuaifang ;
Yang, Wei ;
Zhang, Wenyao .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2014,
[8]  
Li W., 2017, SENSORS, V17, pE657
[9]   In-Fiber Optic Salinity Sensing: A Potential Application for Offshore Concrete Structure Protection [J].
Luo, Dong ;
Li, Peng ;
Yue, Yanchao ;
Ma, Jianxun ;
Yang, Hangzhou .
SENSORS, 2017, 17 (05)
[10]  
Maharrey B., 2012, INT J DISTRIB SENS N, V8, P1