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Related Experiment Video

Updated: May 9, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Symbolic and graphical representation scheme for sensors deployed in large-scale structures.

Hyo Seon Park¹, Yunah Shin, Se Woon Choi

¹Department of Architectural Engineering, Yonsei University, Seoul 110-732, Korea. hspark@yonsei.ac.kr

Sensors (Basel, Switzerland)

|August 6, 2013

Summary

This study introduces a practical wireless sensor network (WSN) for structural health monitoring (SHM). A novel symbolic and graphical representation scheme (SGRS) simplifies managing complex sensor networks and their data.

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

Area of Science:

Civil Engineering
Computer Science
Electrical Engineering

Background:

Wireless sensor network (WSN) systems are crucial for structural health monitoring (SHM) of civil infrastructure.
Managing large numbers of sensors and vast data from WSNs presents significant challenges.
Existing methods for representing sensor networks lack efficiency for complex systems.

Purpose of the Study:

To propose a practical WSN for SHM.
To introduce a symbolic and graphical representation scheme (SGRS) for WSNs.
To demonstrate the effectiveness of SGRS in managing distributed sensor networks.

Main Methods:

Design of a WSN comprising sensors, wireless sensor nodes, repeater nodes, master nodes, and monitoring servers.
Development of a symbolic and graphical representation scheme (SGRS) for concise expression of communication and location.
Application of the SGRS to a WSN deployed on a large-scale irregular structure with diverse sensors.

Main Results:

The SGRS enables prompt identification of sensing units.
Effective management of distributed sensor networks is achieved using the SGRS.
The SGRS proves superior to conventional box or tree diagram methods for sensor network representation.

Conclusions:

The proposed WSN and SGRS provide a practical solution for SHM.
SGRS enhances the manageability and efficiency of WSNs in structural health monitoring.
This representation scheme offers significant advantages over traditional methods for complex infrastructure monitoring.