利用无人机对高层建筑进行巡检

Nur’ain Idris, M. Kaamin, A. S. Sarif, Muhammad Shahruikram Mohamad Nawawi, H. M. Noh, M. Mokhtar, Aslila Abd Kadir
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引用次数: 0

摘要

楼宇检查是楼宇维修前的第一步。没有楼宇检查,维修工作将是压倒性的,并会造成时间和金钱上的损失。为了确定缺陷,视觉检查将作为建筑检查的早期阶段进行。在马来西亚,由于检查成本高且耗时长,通常不适用对结构的外围护结构进行检查。此外,目视检查通常借助双筒望远镜和照相机来检查眼睛。一般来说,被称为高层建筑的建筑物是结构大约有七层或更多的建筑物。在这样的高度,建筑物的任何缺陷和损坏都很难用肉眼观察到。因此,本研究的目的是提出无人机(UAV)作为高层建筑缺陷检测的工具。选择的建筑是马六甲城市转型中心(UTC),位于马六甲75300号Jalan Hang Tuah。收集的数据将使用状况调查协议(CSP1矩阵)进行分析,以获得建筑物状况的总体评级。本次研究的过程包括实地考察、飞行前的规划和准备、无人机数据采集、图像处理和图像数据分析。分析结果显示,331个缺陷已被确定并记录为缺陷或故障,如开裂、结垢、剥落、油漆剥落、伸缩缝和模具。利用无人机目视检测获得的所有缺陷信息,可以帮助UTC马六甲维修公司做好维修工作。该建筑结构整体状况为6.6分,建筑整体性能为中等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Rise Building Inspection by Using Unmanned Aerial Vehicles
Building inspection is the first step before building maintenance. Without building inspections, maintenance work will be overwhelming and will result in losses in terms of time and money incurred. To determine the defect, visual inspection will be conducted as early phase of building inspection. In Malaysia, inspection on exterior enclosure of structures not usually apply because of the high cost of doing inspection and it takes a long time too. Furthermore, visual inspection usually carries out with the aid of binoculars and cameras for examining eyes. In general, the buildings that known as a high-rise building is a building that has the structure roughly seven floor or more. At such altitude, any defects and damage to the building difficult to be observe with the naked eye. Hence, the aim of this study is to propose Unmanned Aerial Vehicle (UAV) as tool that used to inspecting defect on high-rise building. Building that being choose is Urban Transformation Centre (UTC) Malacca that located at Jalan Hang Tuah, 75300 Malacca. The data collected will be analyzed using Condition Survey Protocol (CSP1 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, 331 defects have been identified and documented suffer from defects or faults such as cracking, scaling, spalling, peeling paint, expansion joint and mould. All defects information obtained using UAV visual inspection can help the UTC Malacca maintenance to do maintenance work. The overall condition of this building structure is 6.6, where the overall performance of the building is average.
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