aiviewGroup wykorzystujerozwiązanialeica geosystems无与伦比

Using the Unmanned Aerial Vehicle (UAV) from Leica Geosystems to create highly precise data for bridge inspections, customer companyAiviewGroup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。

作为第一个国家公路建设尤其ally for motor vehicles, Italy introduced the autos trade. First built in 1921, the high-speed roadways have continued to expand ever since. Owned by the Italian government but maintained and operated by a group of concessionaires for profit, the largest of these companies is theiroitalia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was looking for more efficient ways and started a collaboration withAiviewGroup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。“我们在该客户中找到了有远见的人，并在开发特定的软件和方法的同时，在信息技术解决方案的中心使用无人机管理桥梁检查。”

这special mount for a camera on the top of the UAV from Leica Geosystems allows the crew close-up looks under the deck and in tight spots. The use of professional pilots to control the UAV ensures safety for the controlling crew underneath the bridge and to process the collected data.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。

玛丽埃蒂说：“我们有一个明确的程序，可以更好地了解桥梁可能发生什么样的问题以及如何向客户报告。”“该算法为基础结构的不同元素提供了状态。我们检查水泥，桥铁，植被和一般环境的问题。”

即使该软件负责分析和报告，工作流程中仍然存在着一个沉重的人类元素，用于进行每个桥梁调查并验证自主创建的报告，并了解民事和结构工程师。

这AiviewGroup已经创建了云平台AI检查，在该检查中，公司管理客户的所有资产。从计划到现场工作分析，可以在此软件中完成检查的整个工作流程。

技术方法AiviewGroup他们的合作伙伴提出了可以检查桥梁而不关闭交通的可能性。通常的检查将至少需要关闭一条线才能检查桥梁。此外，无人机需要较小的船员，这降低了客户的成本。UAV不是将检查员和相应的六人交通安全人员放在桥下的特殊高速公路和三人船员，而是与三人的船员一起工作。每次使用UAV所花费的时间减少了进一步节省的成本。

检查的附加值

With all these advantages in mind,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。

“The risk is high on every flight, and we fly between four and six hours in a day when we go out to do inspections,” says Marietti. “We move methodically in a difficult environment for the whole day. It’s impossible to do this job without specialised people.”

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。

使用无人机和其他自动数据收集工具来测量和检查基础设施构造是工程师将来将运作的方式的重要进步。用最新技术重新定义这些工作流程是对传统测量的中断，但是现在可以收集的数据可以通过AiviewGroup对于客户和工程师来说，这是更具信息的意见。

This high quality data is based on traditional imagery sensors as the source of information. With these methods already working, there are still more options to combine the possibilities of an UAV and sensor technologies which collect comprehensive data to evaluate the state of a construction (e.g., the use of hexacopter platform fitting LiDAR sensors in order to create high-accuracy 3D models or thermal sensors to detect defects causing heat due friction). Multispectral or hyperspectral sensors would allow customers to get the materials fingerprint and to analyse the material properties of the area that has been captured, giving insight on detailing species type and even mineral properties of the ground below.

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。

Giving the possibilities to adapt nearly every sensor needed onto the UAV and into the workflow, the industrial UAV is a sensor platform rather than just an imaging platform. There are many more possible applications and insights when the “eye in the sky” is given superpowers that make it capable of sensing and capturing far more than we can see.