Digitising the construction site from the air

Author:安妮·皮特卡宁（Anne Pitkaenen）

传统上，建筑行业在采用新技术并进入数字化方面不被认为是最敏捷的行业。但是，当它对行业至关重要时 - 清楚地了解项目的进步，节省成本或安全性 - 变化确实会很快发生。例如，由于它们带入任何项目的自动化，可追溯性和准确性，因此可以在广泛采用机器控制系统中看到。

大型建筑工地就像巨大的生物体一样 - 它们需要恒定的当前信息流程才能顺利运行。无人驾驶汽车（UAV）非常适合喂养当前数据，以对网站进度创建清晰的视野，增加安全性并节省成本。

Many analysts claim thatconstruction is one of the biggest areas of growth in commercial UAVand at Hexagon's Geosystems division we see it happening. A couple of years ago some companies said the orthophotos and 3D models created for construction projects were opened maybe once and then left unused. Access to fresh data, nowadays, starts to be an expectation by construction professionals. UAVs have been called the“民主化工具”for geospatial data since they offerfast access to information, are becomingeasier to operate, and the operating cost is a fraction of other data collection methods.

这Leica Aibot CX UAVsolution 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 brings the construction site into the digital ageandturns data into intelligent information改善决策过程。

无人机可以以各种方式协助建筑公司营销图片到3D调查数据and from progress reporting to sitesafety analysis。以下三种用例提出了通用方式无人机最大化效率，添加透明度and offer immediate savings for any construction project.

Surveying the construction site

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.

Depending on the construction site, there are several data collection methods already in place, such as:

• 机器控制
• 全球定位系统
• bob apple
• Laser scanning
• 旋转激光器。

UAVs will not and should not replace these solutions but can complete the view and put additional points in the right place. It is important for theUAV workflow to fit into the existing workflowsand solutions. UAVs are an excellent solution for accessing hard-to-access areas, widening the view by covering the surroundings and combining aerial data with data collected from other systems.

Stockpile management

估计库存一直是一项具有挑战性的任务。通过猜测或攀爬估算不是有效的或总是安全的。知道您剩下多少库存，相信您已经由供应商正确开具发票，并且计算正确的重新订购时间是节省成本和项目透明度的重要方面。

用无人机执行时，计算库存量成为一项容易的任务与传统的测量方法相比。使用无人机，它可以快速，安全且易于捕获来自空中大或小区域的数据。该数据用于创建3D模型并进行准确的音量计算。

With a modern UAV solution, it issimple to make stockpile managementan accurate process with automated missions;使用相同的飞行计划和工作流程可以节省时间和精力同时确保数据收集的唯一变化是堆中的库存量。

透明度的进度报告

有新的数据在项目的每个阶段a base for coordinating workforces, machines, suppliers and subcontractors gives an undisputable advantage. Before UAVs, this has been a costly and even dangerous process. In construction sites with strict schedules, one must be able to cost-efficiently compare the as-designed to the actual situation of the site progression.

定期飞行和捕获数据, according to a pre-defined flight plan, provides a transparent view of the site progression throughout the project lifecycle and allows to document and compare the as-built status with the as-planned while tracking resources.这可以安全地从空中进行，而不会干扰构造。

从项目的所有阶段中持续不断的数据流都为整个施工进度增加了更大的透明度。进度报告可以满足几种不同类型的需求，例如与所有利益相关者的沟通以及下一步的计划。用户甚至可以将此数据用于营销。

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.

监管的变化,除了视觉李飞行ne 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.