基于图像处理的小型无人机建筑稳定性测试系统设计

Sung-suk Choi, E. Kim
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引用次数: 1

摘要

高层建筑的稳定性检测是高层建筑维修必须定期进行的,但检测人员亲自检测存在着危险、费时、费钱、难以准确诊断等问题。本文提出了一种基于图像处理的建筑稳定性试验监测系统,利用无人机对来自车内传感器的数据进行分析处理,检测建筑的内外裂缝和变形。系统加载温度传感器、湿度传感器、烟雾传感器、照度传感器、CO2传感器、超声波传感器、红外热成像传感器等多种传感器,实现稳定性检测。因此,它可以减少检查时间和建筑物的维护成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of construction stability test system using small unmanned aerial vehicle based on image processing
Stability test of high-rise buildings must be achieved periodically for the buildings' maintenance, but there are many problems that it is dangerous for inspector to make a personal test, it needs much time and cost, and accurate diagnosis is difficult. This paper proposes a monitoring system for construction stability test based on image processing to analyze and process data from sensors in the vehicle to inspect internal and exterior crack and deformation of constructions by using unmanned aerial vehicle. The system loads various sensors such as temperature sensor, humidity sensor, smoke sensor, illuminance sensor, CO2 sensor, ultrasonic sensor, and infrared thermal imaging sensor and can achieve stability inspection. So, It can reduce inspection time and building's maintenance cost.
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