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Development and Testing of a Wireless Structural Vibration Monitoring System Based on an Android Smartphone
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International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access

Editorial - (2022) Volume 11, Issue 2

Development and Testing of a Wireless Structural Vibration Monitoring System Based on an Android Smartphone

Nikhil Pati*
*Correspondence: Nikhil Pati, Department of Computer Science, UK, University of York, UK, Email:
Department of Computer Science, UK, University of York, UK

Received: 07-Feb-2022, Manuscript No. sndc-22-58539; Editor assigned: 09-Feb-2022, Pre QC No. P-58539; Reviewed: 14-Feb-2022, QC No. Q-58539; Revised: 19-Feb-2022, Manuscript No. R-58539; Published: 24-Feb-2022 , DOI: 10.37421/2090-4886/2022.11.144
Citation: Pati, Nikhil. “Development and Testing of a Wireless Structural Vibration Monitoring System Based on an Android Smartphone.” J Sens Netw Data Commun 11 (2022): 144. DOI: 10.37421/2090-4886/2022.11.144.
Copyright: © 2022 Pati N. This is an open-access article distributed under the terms of the creative commons attribution license which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Editoral

The continuous corruption of numerous significant common designs. The wellbeing of these constructions turns into a public concern, especially after these designs are exposed to outrageous burdens (e.g., quakes or solid breezes). Underlying wellbeing observing (SHM) frameworks are a successful measure to identify primary harm on schedule and guarantee the protected activity of these designing constructions. Primary vibration observing is one of center elements of SHM frameworks. Customary primary vibration checking by and large depends on costly concentrated sensors, information transmission and obtaining gear. Along these lines, truth be told, vital constructions are reasonable to introduce a SHM framework. Nonetheless, when an outrageous occasion (e.g., quake) happens, many constructions might be harmed. Since it is unfeasible to introduce SHM frameworks on all designs ahead of time, it will be of incredible worth to foster new reasonable and effective underlying vibration observing method, which can be effectively accessible and immediately sent to survey the primary uprightness and security after the outrageous occasions [1,2].

Lately, cell phone innovation has progressed quickly. These days, cell phones are not just outfitted with strong information obtaining, handling, stockpiling and transmission capacities yet additionally coordinated with an assortment of high-performance vibration sensors (e.g., accelerometers and gyrators), which makes it conceivable to use cell phones to complete the SHM assignments, as underlying vibration checking. Contrasted and the customary devoted SHM framework, utilizing cell phones for underlying vibration checking enjoys numerous appealing benefits: cell phones are exceptionally well known and effectively accessible; consequently, it is feasible to rapidly convey an enormous number of cell phones as vibration sensors on the design for somewhat minimal price, which might be extremely helpful in emanant case, as post-disaster primary assessment, to rapidly get to primary uprightness condition; cell phones are incorporated with a great deal of media transmission innovation (e.g., WIFI, Bluetooth, near-field correspondence and 3G/4G and so forth), which gives numerous adaptable ways of building a smartphone-based remote primary wellbeing observing organization, permitting the cell phones to handily impart and communicate the observing information another; cell phones additionally have strong figuring and information putting away limit, which can be utilized to break down the observed structural responses and assess primary wellbeing status straightforwardly on the cell phones, accomplishing the productive appropriated SHM.

In spite of a great deal of smartphone-based SHM research have been completed, there are as yet many difficulties for smartphone-based SHM. To start with, the smartphone-integrated vibration sensor isn't of logical instrument standard and the sensors in various cell phones might have huge different precision, which incredibly influence the nature of the deliberate information. Second, since cell phones are not at first planned as sensors, they can't gather signals from coordinated sensors as per a severe time plan as ordinary sensors do, which represents a trouble for information investigation. Third, the inspecting pace of the cell phone sensors may not be adequately higher to gauge the vibration of an exceptionally firm construction, which restricts the application scopes of the smartphone-based SHM.

The association of the paper is recorded as follows. To begin with, the framework design of the smartphone-based framework is presented exhaustively, which can effectively arrange numerous cell phones to shape a remote sensor checking network. Second, a period synchronizing technique is created for the smartphone-based framework, which can synchronize the time clocks of the cell phones with high precision for all the while primary vibration observing. Then, at that point, a test is planned and directed to check the time synchronization exactness of the planned smartphone-based observing framework; and a new up sampling-based examination strategy is additionally proposed to work on the goal of time synchronization precision investigation. At last, shake table tests are directed on a three-story small-scale underlying model to actually take a look at the presentation of the created smartphone-based checking framework for primary modular boundary distinguishing proof, showing that the framework can precisely recognize the underlying regular frequencies and mode shapes [3-5].

Conflict of Interest

None.

References

  1. Ozer, Ekin, and Maria Q. Feng. “Direction-Sensitive Smart Monitoring of Structures using Heterogeneous Smartphone Sensor Data and Coordinate System Transformation.”Smart Mater Struct 26 (2017): 045026.
  2. Google Scholar

  3. Xie, Botao, Jinke Li, and Xuefeng Zhao. “Research on Damage Detection of a 3D Steel Frame Model Using Smartphones.”Sensors19(2019): 745.
  4. Google Scholar, Crossref

  5. Krishnamurthy, V., K. Fowler, and E. Sazonov. “The effect of Time Synchronization of Wireless Sensors on the Modal Analysis of Structures.”Smart Mater Struct 17 (2008): 55018.
  6. Google Scholar

  7. Wang, Xu, Daniel Jeske, and Erchin Serpedin. “An Overview of a Class of Clock Synchronization Algorithms for Wireless Sensor Networks: A Statistical Signal Processing Perspective.”Algorithms8 (2015): 590–620.
  8. Google Scholar, Crossref

  9. Hang, X.C, Jiang, L.-W, Gu, M.-H and Wu, S.-Q, et al. “Accuracy of modal damping identification using frequency domain decomposition method.”Zhendong Gongcheng Xuebao/ J Vib Eng 28 (2015): 518–524.
  10. Google Scholar

Google Scholar citation report
Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

International Journal of Sensor Networks and Data Communications peer review process verified at publons

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