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

Abstract

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.

A Review of Theory and Application Development of Intelligent Operation Methods for Large Public Buildings

“…et al [41] proposed an intelligent BIM-integrated risk review system using the DfS knowledge base to aid designers in identifying the risks associated with design elements and the required design characteristics, so as to avoid any unexpected delays or cost-intensive design changes in the later phases of projects, thus mitigating risks. Sun, G.D. et al [42] proposed an embedded sensor-and wireless network technology-based corrosion monitoring framework, CoCoMo, aiming to realize long-term and controllable corrosion monitoring.…”

Autonomous Corrosion Assessment of Reinforced Concrete Structures: Feasibility Study

“…IoT-based corrosion monitoring system has advantages over wired sensors with datalogger systems in terms of continuous measurements, cost effectiveness, flexibility, remote monitoring, ease of deployment and maintenance. There have been proposals on the use of wireless sensor networks for corrosion detection [78][79][80][81] and IoT for structural health monitoring [73][74][75]. Among these works, Qiao et al [79], Sun et al [80], and Xu et al [81] employed IEEE802.15.4-based short-range connectivity for corrosion monitoring while Abdelgawad and Yelamarthi [74] used WiFi connectivity for structural health monitoring.…”