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Dipartimento di Ingegneria Elettrica, Elettronica e Informatica PO-FESR Sicilia 2007-2013 CUP: G13F12000020004 An Early Warning System for Structural Monitoring in AAL Context Bruno Andò, Vincenzo Marletta, Antonio Pistorio University of Catania – Italy May 19-22, 2015 University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context OUTLINE • The Traditional Monitoring of Structures Dipartimento di Ingegneria Elettrica, Elettronica e Informatica • The Developed System • Experimental Characterization of the System • A Wavelet Multiresolution Strategy • Results and Conclusions University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context The Traditional Monitoring of Structures (1/2) Definitions Dipartimento di Ingegneria Elettrica, Elettronica e Informatica Multi-Sensor System. A multi-sensor system is a system in which the information of several sensors contribute to define the knowledge of an environment. EWS. An early warning system is a multifunctional system including sensors, signal processing and communication facilities aimed to timely provide information useful to prepare resources and response actions to minimize the impact of the incoming hazard. SHM. The structural health monitoring is the process to detect damage or changes to the material and/or geometric properties of a structural system. University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context TRADITIONAL INSTRUMENTS Dipartimento di Ingegneria Elettrica, Elettronica e Informatica The Traditional Monitoring of Structures (2/2) University of Catania - Italy Kinemetrics EpiSensor ES-T (for acceleration measurements) High Costs High Power Supply Applied Geomechanics mod. 702 (for tilt measurements) Quanterra Q330 (for data acquisition and storage) Monitoring with Low Spatial Resolution An Early Warning System for Structural Monitoring in AAL Context OUTLINE • The Traditional Monitoring of Structures Dipartimento di Ingegneria Elettrica, Elettronica e Informatica • The Developed System • Experimental Characterization of the System • A Wavelet Multiresolution Strategy • Results and Conclusions University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context The Developed System (1/4) Dipartimento di Ingegneria Elettrica, Elettronica e Informatica GOAL. Development of a customized multi-sensor node for the implementation of a distributed EWS for SHM, based on a wireless sensor network. The ability to monitor simultaneously both the seismic and tilt quantities, could be a useful tool for the risk assessment of the population. Specifications: Measure and analysis of acceleration signals, with a resolution of 0.02 g; Measure and analysis of tilt signals, with a resolution of 0.004 °; Observation of phenomena, having frequency range [0.5 ÷ 10] Hz; Sampling frequency 200 Hz; Data storage; Wireless communication. University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context The Developed System (2/4) Surveillance Center Master Node Sensor Node #1 … Dipartimento di Ingegneria Elettrica, Elettronica e Informatica Sensor Node #n Inclinometers Sensor Node #2 Triaxial Accelerometer Wireless SD Shield Arduino Uno Battery XBee-PRO Module Schematization of the developed system for seismic and tilt monitoring. University of Catania - Italy Commercial Off-the-Shelf (COTS) devices: low cost; low-power consumption. Arduino Uno microcontroller board (based on the ATmega328 microcontroller running at 16 MHz). Wireless SD Shield by Arduino (to communicate wirelessly through the XBee-PRO module from MaxStream and to store data on a micro SD card). MEMS-based accelerometer MMA7361L by Freescale Semiconductor to measure accelerations along the x, y and z axis. MEMS-based inclinometers SCA61T-FAHH1G by Murata Electronics Oy for the monitoring of the tilt. An Early Warning System for Structural Monitoring in AAL Context The Developed System (3/4) Dipartimento di Ingegneria Elettrica, Elettronica e Informatica a c b Real views of the wireless multi-sensor node (a), the master node (b), and a panel of the GUI with experimental results obtained during the first assessment survey (c). University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context The Developed System (4/4) The context adaptive architecture Dipartimento di Ingegneria Elettrica, Elettronica e Informatica Two operating mode Acquisition Continuous data transfer (extract a deep information; more complex infrastructures; high power consumptions). Event-triggered (fast generation of early warnings; low power consumptions; server free operations; limited computational power): tradeoff between low-power consumptions and the extraction of deep informations. University of Catania - Italy Storage Transmission Techniques - Continuous data transfer: TX Real-Time Vs Server - Event-triggered: Alert/Messaging, TX RealTime Vs Server if suprathreshold signals are detected An Early Warning System for Structural Monitoring in AAL Context OUTLINE • The Traditional Monitoring of Structures Dipartimento di Ingegneria Elettrica, Elettronica e Informatica • The Developed System • Experimental Characterization of the System • A Wavelet Multiresolution Strategy • Results and Conclusions University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context Experimental Characterization of the System (1/2) The 3 axis accelerometer Vibration Controller Displacemente transducer Shaker Shake Dipartimento di Ingegneria Elettrica, Elettronica e Informatica Conditioning circuit Mobile platform Schematization of the experimental set-up Acquisition board A/D Actuator Power amplifier PC for data Acquisition Functions generator Real view of the experimental set-up University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context Experimental Characterization of the System (2/2) The 3 axis accelerometer 0.01 acceleration [g] Comparison between acceleration signals by the reference sensor (solid) and the wireless multisensor node (dotted): 0.015 0.005 0 -0.005 -0.01 -0.015 0 acceleration [g] (b) with a vertical solicitations of about 0.2 g @ 5 Hz. 0.5 1 Reference sensor Wireless multi-sensor node (b) 0 -0.5 0.25 0.5 0.75 time [s] (c) Frequency response of the acceleration module embedded in the multi-sensor node. -10 0 (c) 10 0 10 frequency [Hz] University of Catania - Italy 0.75 0.5 -1 0 Resolution @ 1 σ level = 0.007 g Noise floor @ 1 Hz = 0.008 g/√Hz 0.25 time [s] 1 (a) without solicitations, and Reference sensor Wireless multi-sensor node (a) gain [dB] Dipartimento di Ingegneria Elettrica, Elettronica e Informatica Amplitude: [0.01 - 1] g Frequency: [0.5 - 17] Hz 1 1 An Early Warning System for Structural Monitoring in AAL Context OUTLINE • The Traditional Monitoring of Structures Dipartimento di Ingegneria Elettrica, Elettronica e Informatica • The Developed System • Experimental Characterization of the System • A Wavelet Multiresolution Strategy • Results and Conclusions University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context A Wavelet Multiresolution Strategy (1/4) Dipartimento di Ingegneria Elettrica, Elettronica e Informatica A wavelet multiresolution strategy has been adopted to discriminate the structural response to seismic sources from other exogenous inertial components. The processing paradigm runs in the remote server collecting data from the WSN implementing the monitoring system. University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context Dipartimento di Ingegneria Elettrica, Elettronica e Informatica A Wavelet Multiresolution Strategy (2/4) acceleration signal used to stimulate the wireless multi-sensor node in the vertical direction time-frequency image of the vertical acceleration signal acquired with the wireless multi-sensor node after the application of the mechanical solicitations University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context Dipartimento di Ingegneria Elettrica, Elettronica e Informatica A Wavelet Multiresolution Strategy (3/4) The vertical component of the acceleration signal provided by the multisensory node has to be decomposed in an approximation level and several details levels using the Discrete Wavelet Transform (DWT). Each detail level is compared with amplitude/frequency modes typical of the human activity. University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context A Wavelet Multiresolution Strategy (4/4) candidate seismic sources Dipartimento di Ingegneria Elettrica, Elettronica e Informatica As a further step, detail levels showing a high correlation with the typical environment vibrations have to be removed. Successively, the remaining components of the vertical acceleration signal has to be reassembled from the residual detail levels. The latter is expected to be really informative on possible seismic response of the structure. By comparing such residuals with predetermined threshold, candidates anomalous seismic response of the structure can be highlighted. University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context OUTLINE • The Traditional Monitoring of Structures Dipartimento di Ingegneria Elettrica, Elettronica e Informatica • The Developed System • Experimental Characterization of the System • A Wavelet Multiresolution Strategy • Results and Conclusions University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context Results and Conclusions Dipartimento di Ingegneria Elettrica, Elettronica e Informatica In this work a wireless multi-sensor architecture for a distributed monitoring of seismic and tilt data for Early Warning in Structural Monitoring has been developed. Acceleration Tilt Operating range: ±1.5 g Resolution: 0.007 g Operating range: ±30 ° Resolution: 0.004 ° Major outcomes of the proposed methodology: “smart dust” approach (high resolution maps of the health status of the structures with a high number of low cost wireless multi-sensor nodes). Future work: test the whole system performances in real environments for a long observation time. ACKNOWLEDGMENT This work is developed under the project “Attività di sviluppo sperimentale finalizzata alla riduzione del rischio sismico nella Sicilia orientale”, CUP: G13F12000020004, funded by the PO-FESR Sicilia 2007-2013 program University of Catania - Italy An Early Warning System for Structural Monitoring in AAL Context Dipartimento di Ingegneria Elettrica, Elettronica e Informatica Installation: Protezione Civile (ME) 09 Apr 2015, 00.04.12 (GMT) (“Terrazzo”) University of Catania - Italy