Application of UAV and Csp1 Matrix for Building Inspection at Muzium Negeri, Seremban
Siti Nooraiin Mohd Razali1, Masiri Kaamin2, Siti Noraiza Ab Razak3, Nor Baizura Hamid4, Nor Farah Atiqah Ahmad5, Mardiha Mokhtar6, Norhayati Ngadiman7, Suhaila Sahat8
1Siti Nooraiin Mohd Razali, Centre for Diploma Study, UTHM, Johor, Malaysia
2Masiri Kaamin, Centre for Diploma Study, UTHM, Johor, Malaysia.
3Siti Noraiza AB Razak, Centre for Diploma Study, UTHM, Johor, Malaysia.
4Nor Baizura Hamid, Centre for Diploma Study, UTHM, Johor, Malaysia.
5Nor Farah Atiqah Ahmad, Centre for Diploma Study, UTHM, Johor, Malaysia
6Mardiha Mokhtar, Centre for Diploma Study, UTHM, Johor, Malaysia.
7Norhayati Ngadiman, Centre for Diploma Study, UTHM, Johor, Malaysia.
8Suhaila Sahat, Centre for Diploma Study, UTHM, Johor, Malaysia.
Manuscript received on 09 July 2019 | Revised Manuscript received on 21 July 2019 | Manuscript Published on 23 August 2019 | PP: 1366-1372 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I32930789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3293.0789S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Building inspection is really essential to determine the condition of a building and one of the key components of building maintenance. To determine the defect, visual inspection will be conducted as early phase of building inspection. Usually, binocular and camera will be used as main devices in visual inspection. This research aims to study Museum Negeri defects at exterior structure especially the roof structure by using the Unmanned Aerial Vehicles (UAV) or as known as Drone. The data collected will be analyzed using Condition Survey Protocol 1 Matrix to obtain an overall rating of the building’s condition. The process involved in this study are site visit, planning and preparation before the flight, data collection using UAV, image processing and analyzing data from image. The results of analysis, a total numbers of 53 locations have been identified and documented suffer from defects or faults such as cracking, corrosion and wall perforated. All defects information obtained using UAV visual inspection can help the museum maintenance to do maintenance work. The overall condition of this building structure is 5, where the overall performance of the building is fair.
Keywords: Building inspection, drone, CSP1.
Scope of the Article: Building and Environmental Acoustics