A GPRS Case Study

3D Laser Scanning a Grain Facility

3D Laser Scanning a Grain Facility

Highlights

THE BOTTOM LINE

With the millions of data points collected, GPRS’ Mapping & Modeling team could create an accurate LOD 200 Revit 2021 BIM model of this processing facility.

INDUSTRY

Agricultural 3D Laser Scanning

SERVICE

3D Laser Scanning, Mapping & Modeling

LOCATION

Fairmont, Nebraska

PM Insight

Deliverables

GPRS delivered a unified point cloud in PTS file format, structured individual scans in E57 file format, a colorized point cloud (.rcs and/or .rcp file format), an LOD 200 Revit 2021 BIM model, and JetStream Viewer files to the client. GPRS also delivered a graphical elevation map, contours, and spot elevations for the tank farm in AutoCAD, PDF, and Civil 3D files.

PROJECT APPLICATION

ASK

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Task

GPRS mobilized to Fairmont, Nebraska to 3D laser scan a food grade corn processing facility. The target objects of point cloud data acquisition were tanks, silos, hoppers, conveyors, support cables, machinery, equipment, cleaning house and loading drive-thru. GPRS’ engineering team created an LOD 200 Revit model of the facility. The client also requested floor flatness analysis/contour mapping around several tanks.

PROBLEM

The client needed accurate and precise detail of the facility in point cloud and model format, especially the congested areas. The client was concerned with differences in tank displacement; therefore, they requested tank farm slab elevation contours.

Solution

An experienced project manager captured more than 160 scan locations with a Leica survey-grade laser scanner. The facility was scanned from the ground to capture the tanks, bins, silos, hoppers and discharge area under the 11 hoppers. The facility was 3D laser scanned at elevations with stair and elevator access to capture the spouting and conveyors at the top of each tank, silo and bin. Scanning was completed from the accessible roof to capture the equipment, cables and machinery present. The cleaning house was also scanned at multiple elevations to capture the entire room. The project manager increased the resolution and density of the point cloud to capture more detail in congested areas with small conduits, piping, and flanges. With the millions of data points collected, GPRS’ Mapping & Modeling team could model this project with accuracy and precision. Concrete slab flatness can be quickly analyzed with laser scanning. GPRS’ Mapping & Modeling team colorized the cloud in respect to elevation to illustrate high or low points in the concrete.

GPRS delivered unified point clouds in PTS file format, structured individual scans in E57 file format, a colorized point cloud (.rcs and/or .rcp file format) and JetStream Viewer files to the client. An LOD 200 Revit 2021 BIM model was created with the following elements:

  • Basic structural elements including exposed columns and beams.
  • The general shape of 6 tanks with high detail at discharge locations and high detail on gates to conveyors.
  • Rail spur within vicinity of tanks.
  • Catwalks and equipment on tanks.
  • Fall protection.
  • Edge of adjacent building.
  • Approximate grade.

GPRS delivered a graphical elevation map, contours and spot elevations for the requested tanks. This included AutoCAD, PDF, and Civil 3D files to generate contours around the tank farm.

Benefits

GPRS works closely with each client to ensure their needs are met. Point cloud files were immediately uploaded to Cintoo for the client’s use. They were able to add annotations or tags to anything they might want modeled. To minimize modeling costs, all modeling is done as a “best fit" method, utilizing solids overlaid on the point cloud data. To verify the spot elevations, GPRS also provided tank roof elevations shown colored by point cloud elevation.

With laser scanning, processes that once took several days can be reduced to a matter of hours while yielding far more accurate data—and better information for your project team. GPRS has extensive experience 3D laser scanning grain facilities, ethanol facilities, production agriculture, grain processing corporations, and suppliers to the food corn industry.

CASE STUDY GALLERY

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“Our team was more effective and efficient because of SiteMap, allowing us to provide better results from more informed decision-making.”
Alexander Valigosky
Project Environmental Scientist

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