使用Leica Geosystems无人机解决方案进行桥梁检查

使用Leica Geosystems的无人机（UAV）来创建高度精确的桥梁检查数据，客户公司AiviewGroup每年都在测量，维护和检查4,000多个基础设施建筑方面取得了成功。

作为第一个专门为汽车建造的道路的国家，意大利推出了汽车贸易。从那以后，高速道路首次建于1921年，此后一直在扩展。由意大利政府拥有，但由一群特许经营者维护和运营，以获利，这些公司中最大的是iroitalia的自动贸易，在意大利维修3,408公里，从巴西到印度管理了5,000多公里的道路。

来自空中的基础设施检查

在其3,408公里的网络中l'Italia的自动贸易必须维持超过4,200个桥梁，高架桥和隧道。每年必须通过法律对每座桥梁进行两次视觉检查，并在年度周期内与工程师进行更深入的检查。考虑到大量的桥梁，请记住l'Italia的自动贸易正在寻找更有效的方法，并开始与AiviewGroup在机器人解决方案上。

“We have been doing UAV bridge inspections with this UAV since 2012,” says Nicola Marietti, bridge inspector withAiviewGroup. “We found the visionary within this customer and have built some success while developing specific software and methods for managing bridge inspections with a UAV at the centre of the information technology solution.”

Leica GeoSystems从甲甲型地理系统上的无人机顶部的相机的特殊安装座使船员特写镜头在甲板下方和紧密的位置。使用专业飞行员来控制无人机，可确保桥下控制人员的安全性并处理收集的数据。AiviewGroup已经开发了一种算法来评估拍摄图片并检测出针对缺陷分类学库的问题。

“We have a well-defined procedure to better understand what kind of problem might be occurring with the bridge and how to report that to the customer,” states Marietti. “The algorithm provides a status for different elements of the infrastructure. We check for problems with cement, iron of the bridge, vegetation, and the environment in general.”

Even though the software takes care of the analysis and reporting, there is still a heavy human element in the workflow for conducting each bridge survey and verifying the autonomously created reports with the knowledge of a civil and structural engineer.

这AiviewGrouphas created the cloud platform Ai Inspection in which the company manages all assets of their customers. The entire workflow of an inspection, from the planning to the fieldwork analysis can be done within this software.

技术方法AiviewGroupand their partners came up with makes it possible to inspect bridges without shutting down the traffic. A usual inspection would require at least one line to be shut down in order to inspect the bridge. Furthermore, UAVs require much smaller crews, which reduces the costs for the client. Instead of a special highway vehicle and three-person crew with an arm and bucket for placing the inspector under the bridge, and the corresponding six-person traffic safety personnel, the UAV works below traffic with a three-person crew. A further cost saving comes from the reduced time it takes for each inspection using the UAV.

Added value for inspections

考虑到所有这些优势，AiviewGroup坚持认为，在机器人技术和自动化方面，一支具有专业和专业精神的团队总是需要高精度检查和分析的需求。

玛丽埃蒂说：“每次飞行的风险都很高，当我们外出进行检查时，我们每天飞四到六个小时。”“我们在整天的艰难环境中有条不紊地移动。没有专业人士，这项工作是不可能的。”

每次检查均遵循相同的模式。在与无人机起飞之前，大约30％的时间和精力用于计划飞行。当场，多功能器是主要工具，以及在飞行过程中进行实时评估的监视器站。实际飞行最多占整体任务的10％，其余60％​​用于处理收集数据的后处理，评估和显示。

To use UAVs and other automated data collection tools for surveying and inspecting infrastructural constructions is a big step up in ways engineers will work in the future. Redefining these workflows with the newest technology is a disruption with traditional surveying, but the data that can be collected now makes this approach byAiviewGroupa much more informative input for clients and engineers.

此高质量数据基于传统的图像传感器作为信息来源。通过这些方法已经有效，还有更多选择可以结合无人机和传感器技术的可能性，这些技术可以收集全面的数据来评估构建状态（例如，使用己速型平台拟合激光雷达传感器，以创建高准确性3D模型或热传感器检测缺陷导致热量摩擦）。多光谱或高光谱传感器将使客户获得材料指纹并分析已捕获的区域的材料特性，从而深入了解下面地面的物种类型甚至矿物质的详细信息。

为了敦促无人机的自主性特征，甚至有机会通过使用Teach-In功能来自动化飞行，因此直播可以反复以相同的方式飞行以收集同一区域的可比较数据。

工业无人机是一个传感器平台，而不仅仅是一个成像平台。当“天空中的眼睛”获得超级大国，使其能够感测和捕获远远超出我们所看到的，还有更多可能的应用程序和见解。