Developing IoT Sensing System for Construction-Induced Vibration Monitoring and Impact Assessment

Construction activities often generate intensive ground-borne vibrations that may adversely affect structure safety, human comfort, and equipment functionality. Vibration monitoring systems are commonly deployed to assess the vibration impact on the surrounding environment during the construction period. However, traditional vibration monitoring systems are associated with limitations such as expensive devices, difficult installation, complex operation, etc. Few of these monitoring systems have integrated functions such as in situ data processing and remote data transmission and access. By leveraging the recent advances in information technology, an Internet of Things (IoT) sensing system has been developed to provide a promising alternative to the traditional vibration monitoring system. A microcomputer (Raspberry Pi) and a microelectromechanical systems (MEMS) accelerometer are adopted to minimize the system cost and size. A USB internet dongle is used to provide 4G communication with cloud. Time synchronization and different operation modes have been designed to achieve energy efficiency. The whole system is powered by a rechargeable solar battery, which completely avoids cabling work on construction sites. Various alarm functions, MySQL database for measurement data storage, and webpage-based user interface are built on a public cloud platform. The architecture of the IoT vibration sensing system and its working mechanism are introduced in detail. The performance of the developed IoT vibration sensing system has been successfully validated by a series of tests in the laboratory and on a selected construction site.

[1]  Kirill Mechitov,et al.  High-Frequency Distributed Sensing for Structure Monitoring , 2004 .

[2]  B. M. New,et al.  GROUND VIBRATION CAUSED BY CIVIL ENGINEERING WORKS , 1986 .

[3]  Jin-Hung Hwang,et al.  Ground Vibration During Gravel Pile Construction , 2002 .

[4]  Renata Imaculada Soares Pereira,et al.  IoT embedded linux system based on Raspberry Pi applied to real-time cloud monitoring of a decentralized photovoltaic plant , 2018 .

[5]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[6]  Kai-Yuen Wong,et al.  Design of a structural health monitoring system for long-span bridges , 2007 .

[7]  P. Agrawal,et al.  A Comparative Study of Wireless Protocols Bandwidth-Efficient Wpan OFDM Protocol with Applications to UWB Communications , 2013 .

[8]  Y.L. Xu,et al.  Field measurements of Di Wang Tower during Typhoon York , 2001 .

[9]  V S Hope,et al.  GROUNDBORNE VIBRATION GENERATED BY MECHANIZED CONSTRUCTION ACTIVITIES , 1998 .

[10]  Li Cheng,et al.  Impact of Construction-Induced Vibration on Vibration-Sensitive Medical Equipment: A Case Study , 2014 .

[11]  Yu-Wei Su,et al.  A Comparative Study of Wireless Protocols: Bluetooth, UWB, ZigBee, and Wi-Fi , 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.

[12]  Jerome P. Lynch,et al.  Decentralization of wireless monitoring and control technologies for smart civil structures , 2002 .

[13]  Jung-Yeol Kim,et al.  Development of a wireless sensor network system for suspension bridge health monitoring , 2012 .

[14]  Monica D. Kohler,et al.  ShakeNet: A portable wireless sensor network for instrumenting large civil structures , 2015 .

[15]  M. Ghazavi,et al.  Wave propagation and ground vibrations due to non-uniform cross-sections piles driving , 2018, Computers and Geotechnics.

[16]  Yi-Qing Ni,et al.  In-construction vibration monitoring of a super-tall structure using a long-range wireless sensing system , 2011 .

[17]  Sung-Han Sim,et al.  Development and Application of High-Sensitivity Wireless Smart Sensors for Decentralized Stochastic Modal Identification , 2012 .

[18]  Rajeev Piyare,et al.  Towards Internet of Things (IOTS): Integration of Wireless Sensor Network to Cloud Services for Data Collection and Sharing , 2013, ArXiv.

[19]  Kumar Yelamarthi,et al.  A complete Internet of Things (IoT) platform for Structural Health Monitoring (SHM) , 2018, 2018 IEEE 4th World Forum on Internet of Things (WF-IoT).

[20]  Limei Peng,et al.  Green data center with IoT sensing and cloud-assisted smart temperature control system , 2016, Comput. Networks.

[21]  P. C. Pelekis,et al.  Ground vibrations from sheetpile driving in urban environment: measurements, analysis and effects on buildings and occupants , 2000 .

[22]  Srinivasan Chandrasekaran,et al.  Structural Health Monitoring of Offshore Structures Using Wireless Sensor Networking under Operational and Environmental Variability , 2015 .

[23]  Yi-Qing Ni,et al.  Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower , 2009 .

[24]  Kumar Yelamarthi,et al.  Internet of Things (IoT) Platform for Structure Health Monitoring , 2017, Wirel. Commun. Mob. Comput..

[25]  Dong-Soo Kim,et al.  Propagation and Attenuation Characteristics of Various Ground Vibrations , 2000 .

[26]  Yan Yu,et al.  Design of a wireless measurement system based on WSNs for large bridges , 2014 .

[27]  Han Ji,et al.  A Wireless Sensor Network‐Based Structural Health Monitoring System for Highway Bridges , 2013, Comput. Aided Civ. Infrastructure Eng..

[28]  Yang Wang,et al.  Wireless Structural Sensors using Reliable Communication Protocols for Data Acquisition and Interrogation , 2004 .

[29]  Zilong Zou,et al.  Efficient multihop communication for static wireless sensor networks in the application to civil infrastructure monitoring , 2014 .

[30]  P. Pillay,et al.  Self-Powered Sensors for Monitoring of Highway Bridges , 2009, IEEE Sensors Journal.

[31]  Eldad Perahia,et al.  Next Generation Wireless LANs: 802.11n and 802.11ac , 2013 .

[32]  Anne S. Kiremidjian,et al.  A modular, wireless damage monitoring system for structures , 1998 .

[33]  J M Head,et al.  Ground-borne Vibrations Arising from Piling , 1992 .