Application of UAV and CSPI Matrix for Roof Inspection at Dewan Sultan Ibrahim and Dewan Tunku Mahkota Ismail UTHM
DOI:
https://doi.org/10.37934/araset.28.1.106115Keywords:
Visual Inspection, Spatial Data, Main Hall, CSP1 Matrix, inspection, assessment, UAV, roof stateAbstract
Roof inspections are simply inspections to determine the roof integrity, durability, and long life of roofs before they need to be replaced. Besides, the hazards presented by these features bring problems to roof inspectors as they face difficulty in performing rooftop inspection due to its high roof structure. The purpose of this study is to access defective buildings with visual inspection with the help of Unmanned Aerial Vehicle (UAV), to classify roof building conditions using the CSP1 Matrix as a method of assessment and ultimately acquire the results of the roof condition between the two main chambers of Universiti Tun Hussein Onn Malaysia. The two main chambers were elected in the UTHM area namely the Sultan Ibrahim Hall (DSI) and Tungku Mahkota Ismail Hall (DTMI). The main equipment used is UAV while Condition Survey Protocol 1(CSP1) Matrix is a method for building inspections to analyze the assessment of building roof conditions and to identify the significance of defective buildings detected for each main hall. From the analysis, there are 20 and 21 defects for DSI and DTMI that have been recorded, respectively. The overall roof condition is calculated where for DSI is 2.3 (Green) while DTMI is 4.29 (Green) which indicates that the state of the building for DSI and DTMI is in a fair condition (score 1-4). The total defects recorded in these studies for both halls are 41 defects.Downloads
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Published
2022-09-25
How to Cite
Masiri Kaamin, Nor Baizura Hamid, Noorul Hudai Abdullah, Mardiha Mokhtar, Siti Nooraiin Mohd Razali, Muhammad Naim Abu Bakar, Mohamad Ridhwan Zahri, & Nur Thaqifah Aina Mohd Zaidi. (2022). Application of UAV and CSPI Matrix for Roof Inspection at Dewan Sultan Ibrahim and Dewan Tunku Mahkota Ismail UTHM. Journal of Advanced Research in Applied Sciences and Engineering Technology, 28(1), 106–115. https://doi.org/10.37934/araset.28.1.106115
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