Nondestructive monitoring of a pipe network using a MEMS-based wireless network

Shinozuka, Masanobu; Chou, Pai H.; Kim, Sehwan; Kim, Hong Rok; Yoon, Eunbae; Mustafa, Hadil; Karmakar, Debasis; Pul, Selim

doi:10.1117/12.848808

Cited by 27 publications

(16 citation statements)

References 5 publications

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“…We also plan to add (nonvolatile) programmable voltage comparator hardware to not only help reduce software overhead in tracking but also enable autonomous cold-booting without MCU intervention. We are planning long-term deployment of the improved design for a remote monitoring application for water pipes with high duty-cycle requirements [14], [16].…”

Section: Discussionmentioning

confidence: 99%

Energy harvesting by sweeping voltage-escalated charging of a reconfigurable supercapacitor array

Kim¹,

Chou²

2011

IEEE/ACM International Symposium on Low Power Electronics and Design

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EscaCap is an energy harvester that uses a boostup charge pump to perform maximum power-transfer tracking (MPTT) while charging a reservoir supercapacitor array (RSA) with a reconfigurable topology. Unlike buck-down type harvesters, the voltage-doubling charge pump of EscaCap enables the sensor nodes to operate under low ambient power conditions. The supercapacitors in the RSA can be dynamically configured for series or parallel topologies by means of a switch array for not only minimizing leakage of the supercapacitors but also improving the charging speed. Furthermore, the RSA of EscaCap is modular and can be easily expanded. Experimental results show that EscaCap can harvest energy efficiently under low and high solar irradiation conditions, achieve shorter charging time, and demonstrate flexibility and robustness.

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Section: Discussionmentioning

confidence: 99%

Energy harvesting by sweeping voltage-escalated charging of a reconfigurable supercapacitor array

Kim¹,

Chou²

2011

IEEE/ACM International Symposium on Low Power Electronics and Design

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“…In developing the advanced design of this pipe network, we considered experimental results from previous lab-based water pipe network. 3 While the most common pipes are of 8-inch diameter, our initial study utilizes 4-inch ones to reduce the overall water and pressure requirements. Fig.…”

Section: Small-scale Water Pipe Network Modelmentioning

confidence: 99%

Smart wireless sensor system for lifeline health monitoring under a disaster event

et al. 2011

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This paper discusses issues of using wireless sensor systems to monitor structures and pipelines in the case of disastrous events. The platforms are deployed and monitored remotely on lifetime systems, such as underground water pipelines. Although similar systems have been proposed for monitoring seismic events and the structure health of bridges and buildings, several fundamental differences necessitate adaptation or redesign of the module. Specifically, rupture detection in water delivery networks must respond to higher frequency and wider bandwidth than those used in the monitoring of seismic events, structures, or bridges. The monitoring and detection algorithms can also impose a wide range of requirements on the fidelity of the acquired data and the flexibility of wireless communication technologies. We employ a non-invasive methodology based on MEMS accelerometers to identify the damage location and to estimate the extent of the damage.The key issues are low-noise power supply, noise floor of sensors, higher sampling rate, and the relationship among displacement, frequency, and acceleration.Based on the mentioned methodology, PipeTECT, a smart wireless sensor platform was developed. The platform was validated on a bench-scale uniaxial shake table, a small-scale water pipe network, and portions of several regional water supply networks. The laboratory evaluation and the results obtained from a preliminary field deployment show that such key factors in the implementation are crucial to ensure high fidelity of the acquired data. This is expected to be helpful in the understanding of lifeline infrastructure behavior under disastrous events.

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“…Each node transmits wirelessly the data sampled by Micro-Electro-Mechanical Systems (MEMS) and other emerging sensors. Collectively, these sensors have been assembled into two different sized packages: the full-sized version called PipeTECT (Shinozuka et al 2010), and the miniature version called Eco (Park and Chou 2006). Both have been designed, assembled, and tested in the laboratory as well as in the field at UC Irvine and are particularly being tailored for civil engineering applications.…”

Section: Introductionmentioning

confidence: 99%

Non-invasive acceleration-based methodology for damage detection and assessment of water distribution system

Shinozuka¹,

Chou²,

Kim

et al. 2010

Smart Structures and Systems

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This paper presents the results of a pilot study and verification of concept of a novel methodology for damage detection and assessment of water distribution system. The unique feature of the proposed noninvasive methodology is the use of accelerometers installed on the pipe surface, instead of pressure sensors that are traditionally installed invasively. Experimental observations show that a sharp change in pressure is always accompanied by a sharp change of pipe surface acceleration at the corresponding locations along the pipe length. Therefore, water pressure-monitoring can be transformed into acceleration-monitoring of the pipe surface. The latter is a significantly more economical alternative due to the use of less expensive sensors such as MEMS (Micro-Electro-Mechanical Systems) or other acceleration sensors. In this scenario, monitoring is made for Maximum Pipe Acceleration Gradient (MPAG) rather than Maximum Water Head Gradient (MWHG). This paper presents the results of a small-scale laboratory experiment that serves as the proof of concept of the proposed technology. The ultimate goal of this study is to improve upon the existing SCADA (Supervisory Control And Data Acquisition) by integrating the proposed non-invasive monitoring technique to ultimately develop the next generation SCADA system for water distribution systems.

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Nondestructive monitoring of a pipe network using a MEMS-based wireless network

Cited by 27 publications

References 5 publications

Energy harvesting by sweeping voltage-escalated charging of a reconfigurable supercapacitor array

Energy harvesting by sweeping voltage-escalated charging of a reconfigurable supercapacitor array

Smart wireless sensor system for lifeline health monitoring under a disaster event

Non-invasive acceleration-based methodology for damage detection and assessment of water distribution system

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