从空中数字化建筑工地

特征

Author:Anne Pitkaenen

The construction industry hasn’t traditionally been considered as the most agile one in adopting new technologies and jumping into digitalisation. However, when it is of importance to the industry – getting a clear understanding of the project’s progression, a matter of cost savings or safety – changes do happen fast. This can be seen for instance in the wide adoption of machine control systems due to the automatisation, traceability and accuracy they bring into any project.

Large construction sites are like huge living organisms - they need a constant flow of current information to run smoothly. Unmanned Aerial Vehicles (UAVs)fit well to feed current data to create a clear view on site progression, adding safety and increasing cost savings.

许多分析师声称建筑是商业无人机增长最大的领域之一在六边形的地理亚搏苹果app系统部门,我们看到它正在发生。几年前,一些公司表示,为建筑项目创建的正交原模型和3D模型可能一次开放,然后没有使用。如今,访问新鲜数据开始成为建筑专业人员的期望。无人机被称为'democratisation tool'对于地理空间数据,因为它们提供了快速获取信息,正在变成easier to operate,运营成本是其他数据收集方法的一小部分。

TheLeica Aibot CX无人机solution for construction is Hexagon's Geosystems’ answer to the current and future UAV needs of any construction site. This UAV solution opens opportunities for daily progress documentation, stockpile monitoring, resource tracking, and 2D and 3D site survey to get cost savings and visibility over suppliers.AIBOT CX将建筑工地带入数字时代将数据变成智能信息to improve decision-making processes.

UAVs can assist construction companies in various ways, frommarketing pictures to 3D survey data从进度报告到网站安全分析. The following three use cases present common ways howUAVs maximise efficiency, add transparency并为任何建筑项目提供即时节省。


调查建筑工地



Through the entire construction project, accurate and up-to-date 3D data and orthophotos of the area are crucial for planning and design. For planning and designing, users need proper as-is information. The more complete the data set, the more efficient the plan will be. UAVs can provide recent and frequently updated data whenever it is needed.

根据建筑工地,已经有几种数据收集方法,例如:

  • Machine control
  • GPS
  • 亚博5分钟快三
  • 激光扫描
  • Rotating lasers.

无人机不会也不应替换这些解决方案,而应该可以完成视图并在正确的位置提出其他点。这对无人机工作流程适合现有工作流程和解决方案。无人机是访问难以访问区域的绝佳解决方案,通过覆盖周围环境并将空中数据与从其他系统收集的数据结合起来扩大视野。


Stockpile management



Estimating stockpiles has always been a challenging task. Estimating by guess or by climbing isn’t efficient or always safe. Knowing how much stock you have left, trusting that you have been invoiced correctly by your suppliers, and calculating the right time to reorder are important aspects for saving costs and project transparency.

Calculating volumes of stockpiles becomes an easy task when executed with a UAVcompared to traditional surveying methods. With a UAV, it is fast, safe and easy to capture data from large or small areas from the air. This data is used to create a 3D model and make accurate volume calculations.

有了现代无人机解决方案,它是简单地进行库存管理具有自动任务的准确过程;using the same flight plan and workflow repeatedly saves time and effortwhile ensuring the only change in the data collection is the amount of stock in the pile.


Progress reporting for transparency



在项目的每个阶段都有新的数据,作为协调劳动力,机器,供应商和分包商的基础,这给予了无可争议的优势。在无人机之前,这是一个昂贵甚至危险的过程。在严格时间表的施工站点中,必须能够将AS设计的经济效率与现场进步的实际情况进行比较。

Flying and capturing data regularly根据预定义的飞行计划,在整个项目生命周期中提供了站点进展的透明视图,并允许在跟踪资源时记录和比较所构建的状态与规划的状态。This can be done safely from the air without disturbing the construction.

Having a constant flow of data from all phases of the project adds more transparency to the whole construction progress. Progress reporting can serve several different types of needs, such as communication with all stakeholders and planning for next steps. Users can use this data even for marketing.


Better together



Big hype in the market has been putting a lot of focus into UAVs being a “silver bullet” and a solution to all data needs. This has raised several questions whether it can really replace other technologies.Combined with existing traditional data collection methods, UAV technology can form a perfect union for smart construction data capture.

Changes in the regulation, flying beyond visual line of sight (BVLOS), and artificial intelligence will bring new opportunities to users who already know the process. We are just at the starting point of being able to use the possibilities of combining different technologies together.

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