AiviewGroupwykorzystuje rozwiązania Leica Geosystems UAV do kontroli mostów

Leica UAV zapewnia efektywność w kontrolowaniu mostów

Bridgeinspection with Aibot X6

Using the Unmanned Aerial Vehicle (UAV) from Leica Geosystems to create highly precise data for bridge inspections, customer companyAiviewGroupis getting ahead in surveying, maintaining and inspecting more than 4,000 infrastructural buildings each year.

As the first country with roads constructed especially 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 theAutostrade per I’Italia, servicing 3,408 kilometres in Italy and managing more than 5,000 km of roadways from Brazil to India.

Infrastructure inspections from the air

Within its network of 3,408 km roadways,Autostrade per l’Italiahas to maintain more than 4,200 bridges, viaducts and tunnels. Every bridge must be visually inspected twice a year by law with a more in-depth inspection with an engineer on a yearly cycle. With this large number of bridges to inspect in mind,Autostrade per l’Italiawas looking for more efficient ways and started a collaboration withAiviewGroupon a robotic solution.

AiviewGroup船员与Aibot X6

“自2012年以来,我们一直在使用该无人机进行UAV桥梁检查。”AiviewGroup。“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来管理桥梁检查。”

The 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.AiviewGrouphas developed an algorithm to evaluate the taken pictures and detect issues against a library of defect taxonomy.

玛丽埃蒂说:“我们有一个定义明确的程序,可以更好地了解桥梁可能会出现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,并了解土木和结构工程师。

AI检查

TheAiviewGroup已经创建了云平台AI检查,其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。

AI检查

The technological approach theAiviewGroup他们的合作伙伴提出了可以在不关闭交通的情况下检查桥梁的可能性。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。无人用与三人交通安全人员一起将检查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。

AI检查

检查的附加值

With all these advantages in mind,AiviewGroupinsists that when it comes to robotics and automation, a team with specialties and professionalism is always required for the demands of high precision inspection and analysis.

“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.”

每个检验遵循相同的模式。在taking off with the UAV, roughly 30 per cent of the time and effort are spent on planning the flight. On the spot, the multicopter is the main tool, along with the monitor station for real-time evaluation during the flight. The actual flight takes up to about 10 per cent of the overall mission and the remaining 60 per cent are spent on the post processing, evaluation and presentation of the collected data.

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一个很大的进步。通过最新技术重新定义这些工作流是传统测量的中断,但是现在可以收集的数据可以通过AiviewGroup对于客户和工程师而言,信息得多。

Bridge inspection with the Aibot X6

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.

To urge the autonomous character of UAVs there are even opportunities to automate the flight by using the teach-in function, so the copter can repeatedly fly the same way to collect comparable data of the same areas.

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.

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