Buried Wireless Sensor Network for Monitoring Pipeline Joint Leakage Caused by Large Ground Movements

Lin, Tang Huang; Wu, Yan; Soga, Kenichi; Wham, Brad P.; Pariya-Ekkasut, Chalermpat; Berger, B.; O’Rourke, Thomas D.

doi:10.1061/(asce)ps.1949-1204.0000392

Cited by 13 publications

(5 citation statements)

References 19 publications

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“…A key challenge for SHM systems in underground pipeline monitoring is that when the wireless device is buried in the ground, the wireless signal is significantly weakened during transmission. Ali et al [27] proposed a buried wireless sensor network (B-WSN) system to detect pipe joint leakage caused by large-scale ground movement. The B-WSN system was equipped with a high-energy signal transceiver; thus, each sensing node also acts as a relay node to assist in data communication with nodes buried deeper underground.…”

Section: Pipeline Damage Detectionmentioning

confidence: 99%

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The Application of Advanced Information Technologies in Civil Infrastructure Construction and Maintenance

Guo

et al. 2022

Sustainability

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Information technologies have widely been used in the construction and maintenance of civil infrastructure. The advantages of information technologies provided a broader range of methods for infrastructure and enhanced its level of maintenance. However, a systematic summary of the research development of information technologies used in civil infrastructure is limited. This study aims to supplement this field by providing an objective, systematic summary of relevant literature in mainstream journals employing bibliometric retrieval and quantitative analysis from 2010 to 2020. The following results are obtained: (1) This study discusses the application of advanced information technologies in different phases and provides a critical analysis of the application of these existing information technologies, which includes wireless sensor networks (WSN), fiber optic sensing (FOS), building information modelling (BIM), radio frequency identification (RFID) and other advanced information technologies. (2) The digital twins can be used as tools for the planning and management of next-generation smart infrastructure, making the future of civil infrastructure smarter and more sustainable.

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Section: Pipeline Damage Detectionmentioning

confidence: 99%

“…(SHM [11][12][13]18,19,21,23,27,30,52,70,[99][100][101][102][103][104][105][106], information collection [107][108][109], quality monitoring [28] and traffic trend forecast [110])…”

Section: Application Of Information Technologies In Different Phasesmentioning

confidence: 99%

The Application of Advanced Information Technologies in Civil Infrastructure Construction and Maintenance

Guo

et al. 2022

Sustainability

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“…Original volumetric water content was measured by the method based on the JGS standard test method. Water has a higher density than the sand, so the signal propagation in the saturated soil rapidly decreased compared to that in unsaturated soil (Lin et al, 2019). To test the effect of saturation on signal propagation in the soil, water was poured into the tank in which 6 WSN units were buried.…”

Section: In-ground Testing Of Wsnsmentioning

confidence: 99%

A preliminary study of environmental monitoring using embedded sensors in the soil

Mukai

Zhong

Hubbard

et al. 2021

JGS Special Publication

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Green infrastructure is a stormwater management technique that can be used to mitigate urban floods and heat islands. However, proactive monitoring and control is required to ensure its smooth operation. In particular, determining evapotranspiration, an essential process in biosphere-atmosphere interactions in cities that maintain cultivated and irrigated landscapes, is challenging. Understanding activities that govern evapotranspiration in a wide range of shallow soils is useful for planning and operation of green spaces. Recently, distributed fiber-optic sensors for monitoring civil structures and infrastructure have opened up new possibilities compared with conventional sensor systems. They operate based on the principle that strain variation in the soil is linked to environmental factors such as temperature and soil moisture changes. In this research, we examined the relationship between strain and temperature/soil moisture changes. By embedding fiber-optic strain sensors and other sensors in the soil tank, we investigated the feasibility of the sensors in a simulated soil environment.

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“…The Friis model is only valid when the transmission distance lies in the far field region. The far field distance is very vague, as given in Equation (2). The blind use of the equation of d f = 2D 2 /λ is not fulfilling.…”

Section: Proposed Soil Propagation Modelmentioning

confidence: 99%

“…Wireless Underground Sensor Networks (WUSNs) have received much research interest in recent years since its promising potential applications in various scenarios, such as border intrusion control, underground structure monitoring, smart farming, environment pollution monitoring [1][2][3][4][5]. WUSNs, being underground, play an important role in the Internet of things (IoT) [6,7].…”

Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Studies on the Signal Propagation in Soil for Wireless Underground Sensor Networks

Huang

Shi

Wang

et al. 2020

Sensors

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Wireless Underground Sensor Networks (WUSNs), an important part of Internet of things (IoT), have many promising applications in various scenarios. Signal transmission in natural soil undergoes path loss due to absorption, radiation, reflection and scattering. The variability and dynamic of soil conditions and complexity of signal attenuation behavior make the accurate estimation of signal path loss challenging. Two existing propagation models for predicting path loss are reviewed and compared. Friis model does not consider the reflection loss and is only applicable in the far field region. The Fresnel model, only applicable in the near field region, has not considered the radiating loss and wavelength change loss. A new two stage model is proposed based on the field characteristics of antenna and considers four sources of path loss. The two stage model has a different coefficient m in the near field and far field regions. The far field distance of small size antenna is determined by three criteria: 2 D2/λ, 5 D, 1.6 λ in the proposed model. The proposed two stage model has a better agreement with the field experiment data compared to Friis and Fresnel models. The coefficient m is dependent on the soil types for the proposed model in near field region. It is observed from experiment data that the m value is in the range of 0~0.20 for sandy soils and 0.433~0.837 for clayey silt.

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Buried Wireless Sensor Network for Monitoring Pipeline Joint Leakage Caused by Large Ground Movements

Cited by 13 publications

References 19 publications

The Application of Advanced Information Technologies in Civil Infrastructure Construction and Maintenance

The Application of Advanced Information Technologies in Civil Infrastructure Construction and Maintenance

A preliminary study of environmental monitoring using embedded sensors in the soil

Theoretical and Experimental Studies on the Signal Propagation in Soil for Wireless Underground Sensor Networks

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