Cyber-Physical Codesign of Distributed Structural Health Monitoring With Wireless Sensor Networks Gregory Hackmann*, Weijun Guo*, Guirong Yany, Chenyang Lu*, Shirley Dykey • *Department of Computer Science and Engineering, • Washington University in St. Louisy School of Mechanical Engineering, Purdue University
27
Embed
Cyber-Physical Codesign of Distributed Structural Health Monitoring With Wireless Sensor Networks
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Cyber-Physical Codesign of Distributed Structural HealthMonitoring With Wireless Sensor Networks
Our deteriorating civil infrastructure faces the critical challenge of long-term structural health monitoring for damage detection and localization. In contrast to existing research that often separates the designs of wireless sensor networksand structural engineering algorithms, this paper proposes a cyber-physical co-design approach to structural health monitoring based on wireless sensor networks. Our approach closely integrates (1) flexibility-based damage localizationmethods that allow a tradeoff between the number of sensors and the resolution of damage localization, and (2) an energy-efficient, multi-level computing architecture specially designed to leverage the multi-resolution feature of the flexibility-based approach. The proposed approach has been implemented on the Intel Imote2 platform. Experiments on a physical beam and simulations of a truss structure demonstrate the system's efficacy in damage localization and energy efficiency.
Abstract:
• Deteriorating Civil Infrastructures
• Problems with sensors in Wired Technology
• Growth in Wireless Sensor Networks (WSN’s )
• Problems With Centralized Systems viz. High latency and high Energy consumption.
• Best Solution : Usage of CPS to provide Structural Health Monitoring using de-centralized systems.
Lets get started…
Related Works..
• UC Berkley Project to monitor Golden Gate Bridge• Clarkson’s University Implementation on a bridge structure In New
York.
Problems:
• Limited data Collection in a time frame.• Inadequacy for time constraint events due to large time for data
analyzation and collection.
Solution:
Usage of Distributed Approach based on Damage Localization
Damage localization approach :
Physical Aspect using Flexibility based Algorithm
Two stages of Flexibility Algorithm
• Baseline Structural Model Identification (Fb)
• Repeatedly collecting data over the passage of time (F)
The data flow of a traditional flexibility-based method
Fb is the flexibility matrix on baselineF is computed the newly computed flexibility matrix∆F is damage matrix
Damage Indicator:
Distributed Architecture:
Described method is good for Centralized networks. But is not energy efficient and good for localization
Multi-Level damage Localization:
• Uses multi level search• If damage not found return nodes to sleep• If found, Multi-level search is performed and identify adjacent sensors.• Key feature: doesn’t activate all sensors at once.
Damage localization results on the cantilever beam
Network Hierarchy:
Roles of nodes:
• Cluster Member • Cluster Head• Base Station
Accelerometers are used to collect information.
Enhanced FDD:
Problem: High number of outputs from CSD and SVD which is not energy efficient
Solution: Peak Picking Routine in FDD stage which allows each node to independently identify these P natural frequencies solely from local data.