AI 활용 타워크레인 데이터 수집 솔루션 VIDEO: Versatile.ai Turns Your Tower Crane into a Data Collecting Powerhouse Using AI

Versatile.ai Turns Your Tower Crane into a Data Collecting Powerhouse Using AI

July 15, 2020 Shane Hedmond

The tower crane is easily one of the most fascinating pieces of equipment on any large construction project and operators certainly have a unique view of the jobsite.  So with that birds-eye view perspective, their vital important to the success of each project they’re on, and their relatively high cost, it only makes sense to collect data from tower cranes to make better business decisions.

CraneView, courtesy of Versatile.ai

AI 활용 타워크레인 데이터 수집 솔루션    타워크레인은 어느 대형 건설 프로젝트에서나 가장 매력적인 장비 중 하나이며 건설사들은 확실히 현장에 대한 독특한 시각을 가지고 있다. 그러므로 이러한 장비의 시각적 관점, 그들이 하고 있는 각 프로젝트의 성공에 중요한 요소, 그리고 상대적으로 높은 비용으로, 더 나은 사업 결정을 내리기 위해 타워크레인으로부터 데이터를 수집하는 것은 매우 타당한 일이다. 최근에 크레인뷰라고 불리는 Versatile.ai에서 비교적 새로운 하드웨어와 소프트웨어 솔루션을 선보였다. 크레인뷰는 타워크레인 후크에 직접 부착된 장치를 사용해 들어올린 모든 재료의 하중, 중량 및 움직임을 측정하고 연결, 고정 해제, 작업 및 유휴 시간을 추적한다. 크레인뷰 하드웨어에는 일련의 카메라와 센서가 탑재돼 있어 나중에 각 이미지를 볼 수 있을 뿐 아니라 인공지능을 이용해 들어올려지는 소재가 무엇인지 판단하기도 한다. 기기는 크레인 고리에 직접 걸기 때문에 설치 후 리프팅 용량이 궁금할 수 있다. 회사는 이 기기가 "완전하게 인증된" 장치라고 명시하고 있으며 "이 장치가 사용되는 크레인과 동일한 중량 용량"을 제공한다.  황기철 콘페이퍼 에디터 Ki Chul Hwang Conpaper editor curator

edited by kcontents

I was recently introduced to a relatively new hardware and software solution from Versatile.ai called CraneView. Using an externally attached device directly to the tower crane’s hook, CraneView measures the load, weight, and motion of any material lifted, as well as tracking the time for rigging, unrigging, task, and idle time.  

The CraneView hardware is equipped with a series of cameras and sensors so you can not only view each pick at a later time, but it also uses artificial intelligence to determine what the material being lifted is. 

Since the device hooks directly on the crane’s hook, you might be curious about lifting capacity post installation.  The company states that the device is “fully certified” and provides “the same weight capacity as the crane it is used on.”  CraneView has also been used on over 300,000 picks so far.

The CraneView hardware installs within seconds. Courtesy of Versattile.ai

The hardware is only one side of the story, though, as the real value comes from the data collected and the software that compiles that data into meaningful charts and graphs. Available in both web and mobile view, these charts help the project management team to determine where their inefficiencies lie. Versatile.ai also touts the fact that their software doesn’t require a ton of additional work to manage.

Contracting giant, Turner Construction Company, has been using CraneView on some of their projects and has seen some considerable productivity gains. The firm piloted the technology on a 378,000 square foot project in San Diego, California for the US Navy.  Using the data from CraneView, the project team was able to remove 17 days from the schedule. For a piece of equipment as expensive as a tower crane, that could not only result in some considerable monetary savings, but also some serious relief to the project schedule.

A typical pick from a tower crane may only have a 5-10 minute cycle time, but being able to reduce downtime by relocating material storage points, changing the position material is stored in, or even monitoring the fatigue of the workers rigging the crane can shave a significant percentage off of that time.  Even reducing each pick by a minute will add up across hundreds of picks throughout the project.

“Once the system began compiling and analyzing real data, the value became exceedingly clear,” said Steve Elliot, Senior Project Superintendent for Turner, in a press release, “the insights we received led us to make data-driven decisions that positively impacted our productivity.”

Of course, as Elliot mentions, the data collected is only part of the picture.  In order to grain real value with any piece of technology, you have to proactively use the insights gained to make impactful decisions in the field. 

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