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المؤلفQidwai U.
المؤلفIjaz A.
المؤلفAkbar A.
تاريخ الإتاحة2020-02-05T08:53:05Z
تاريخ النشر2018
اسم المنشورProceedings - 7th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2017
اسم المنشور7th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2017
المصدرScopus
الترقيم الدولي الموحد للكتاب 9.78E+12
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/ICCSCE.2017.8284423
معرّف المصادر الموحدhttp://hdl.handle.net/10576/12683
الملخصStructural health Monitoring (SHM) is a very critical component for sustainable civil and mechanical structures in modern urban settings. The sky-scrappers and huge bridges in modern metropolis today are essential aspects of the prosperity and development of a country but at the same time they present a great challenge in terms of maintaining and sustaining the structures in a good health. Due to the complex designs of these structures, it is typically very dangerous to do SHM tasks through human personnel. Deployment of a monitoring team with various forms of equipment and scaffolding accompanied with their hoisting machines becomes extremely exorbitant for the maintenance and planning of the structures causing unnecessary cost-spill on other areas of the available budget. In this paper, a robotic system is presented that can perform a coarse level of scan of a tall building using drones and the probe deployment robots (PDR). The drones provide a rough estimate of the location of possible defect or abnormality and PDR inspects the anomaly more closely. In addition, the coarse information about a possible defect can also help in deploying other means of inspection in a much lower cost since the whole structure needs not to be inspected. 2017 IEEE.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعCoordinate Allignment
Coordinated Robots
Inspecting Drone
MFL Probe Robot
Structural Health Monitoring (SHM)
العنوانRobotic probe positioning system for structural health monitoring
النوعConference
الصفحات299-304
رقم المجلد2017-November
dc.accessType Abstract Only


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