移动机器人摄像头定位系统的架构,用于在水电道中获取光度数据
Ryan Keizer1, Rickey Dubay1, Lloyd Waugh2
1Department of Mechanical Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
一个新的机器人摄像系统和螺旋图像网络简化了水电道检查. 这一创新减少了检查时间和工作量,同时适应不同的道尺寸,提高了安全性和维护.
科学领域:
- 工程 工程师 工程师 工程师
- 机器人技术 机器人技术 机器人技术
- 地理空间分析是什么?
背景情况:
- 水力发电道的结构完整性对于发电站的安全性和寿命至关重要.
- 检查这些道是劳动密集型的,需要进入许多困难的位置.
- 摄影计量提供了准确的数据,但在道内的摄像头定位方面面临着挑战.
研究的目的:
- 开发一个半自动化的机器人摄像头定位系统用于水电道摄影仪.
- 为了创建一个优化的连续螺旋图像网络,以实现高效的数据捕获.
- 为了减少道检查所需的时间和精力,同时保持数据准确性.
主要方法:
- 开发用于道导航的半自动机器人摄像系统.
- 实施连续螺旋图像网络战略.
- 在水电发电站的混凝土道内测试该系统.
主要成果:
- 该系统成功捕获了超过28000张图像,地面采样距离为0.4毫米.
- 开发的方法大大减少了数据收集的时间和精力.
- 该系统表现出适应不同道直径的适应性.
结论:
- 半自动机器人摄像系统和螺旋图像网络有效地增强了水力发电道的摄影测量检查.
- 这种方法提高了维护关键基础设施的效率和适应能力.
- 优化数据收集有助于更好的结构监测和发电站的寿命.
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