Jun 05 2020
1:30 pm - 2:30 pm
SPAR – Data Optimization & Work Process – Effectively Integrating Work Process with New Tech
Track Name: Friday 1:30 PM 2:30 PM
Session Date: Jun 5 2020 1:30 pm - 2:30 pm
Examples of the three most common tasks we perform daily. - Scan to BIM. - Terrain extraction - As-built analysis
We want to show the work process from scan to BIM. This time quite superior as this has been shown so many times before. But this time more focus on how we now enrich the models with more information than before. And how we now distribute our models to our customers. This creates more business for us. Shows some simple examples of how we work to extract terrain. Then we want to show how to create good examples of as-built documentation in conjunction with construction and bridge projects. Here we mean the whole industry must be better. The technique is here but we need to learn the workflow and be better at selling it to our customers.
Odd Erik Mjørlund
Geoplan 3d AS
UAV-to-BIM Workflow and Interoperability
An accurate and cost-effective method was necessary to measure the holding capacities of tank containment berms on a 190-acre bulk liquids product terminal in North America. Both conventional and unconventional techniques were evaluated to determine the most advantageous method capable of achieving and managing high data quality at efficient cost while mitigating on-site risk during data collection. Leveraging data collection by UAVs (unmanned aerial vehicles) with the power of BIM (better information management) provided a safer, more rapid, and cost-effective alternative to other methods. Under the supervision of a professional licensed surveyor, a series of flights were planned in SiteScan (a processing and photogrammetry software that collaborates with BIM360) to ensure data was gathered thoroughly and appropriately in order to produce a robust photogrammetry model. An in-house Part-107 licensed UAV pilot and a surveyor spent one day on-site setting ground control and capturing geo-located aerial imagery. After data collection and processing, our team was able to view our SiteScan 2D and 3D products directly in our BIM360 dashboard. Upon reviewing our SiteScan products, we were able to complete post-processing cleanup and data extraction in a variety of CAD and GIS software, all integrated into BIM360. Calculations, reports, and all other documents related to data mining were structured and housed in BIM360 as well for easy review, retrieval, and sharing. With preparation and use of ground control, photogrammetry can quickly and safely achieve high-accuracy topographic data. Unfortunately, without proper planning and execution of data collection techniques, the benefits of using this expedient method are lost during clean-up and post-processing revisions in the office. Therefore, it is imperative to develop adequate ground control and a thorough, organized flight plan for imagery collection. All aspects of our work were easily housed and controlled in BIM360. We were able to reduce time and risk by having documents in a shared, structured location. This management insured our workflow was organized, verifiable, and audit ready. This presentation will focus on the primary lessons learned from managing UAV with BIM for this method of application. These include appropriate pre-flight planning, implementation of BIM360 collaboration capabilities, identified improvements in safety conditions for field staff, and potential pitfalls that can compromise data and lead to inaccuracies. Per acre, the overall costs of this project were approximately 50% lower than other similar projects using traditional methods. With proper planning and management of photogrammetry projects, high data quality can be achieved while minimizing costs, schedule, and risk.
No 3D Feature Left Behind
The convergence of photogrammetry and land surveying in the recent years has been nothing short of meteoric. Now, drones, cameras, and methodologies of extracting 3D data from images are commonplace across virtually every surveying related vertical. Yet, there are still large workflow bottlenecks that can prevent surveyors from realizing the full potential of drone-based surveying, resulting in lost productivity, lost efficiency, and ultimately lost profits. One such bottleneck is the collection of specific 3D geometric features, such as points, polylines, and breaklines. Historically, a trained surveying crew would collect this data with conventional methods, such as robotic total station or GNSS, often relying on the experience of the field crew chief to collect enough data to comprehensively describe the site. From a training perspective, this is why most surveyors started out as a "rodman" under the direction of a crew chief; it was the best way to learn what features to collect and how to collect them. Drone based surveying has upended this paradigm because the image processing software is capable of creating all of the features automatically that an experienced crew chief/surveyor would otherwise have collected previously. Or has it?!? That assumption is incorrect for many real-world cases, especially for one of the most commonly requested survey deliverables, the topographic survey, or "Topo" . Missing point cloud features include overhead powerline conducters, street signs, and highly reflective metallic surfaces. In many cases, those features are of critical importance, and obtaining a precise 3d position for each feature is required to provide an end deliverable to the customer. As a result, surveyors then have to make multiple trips back out to the site to retrieve features with conventional methods, thereby eliminating the efficiency gains that a drone-based surveying workflow provides. PixElement and Duthler Land Surveys (of Imlay City, Michigan) will present a case study of a large scale topographic survey of a difficult urban site with a considerable amount of road furniture, overhead utilities, and non-traditional building footprints. We will describe in detail how conventional land surveying simply couldn't accomplish what needed to be done in an economical timeframe, as well as how the automated image processing programs failed to produce the data with the necessary fidelity that was required for this project. By combining conventional field measurements, classic stereogrammetric feature extraction, and automated 3D modeling from drone imagery, we will explain to the audience how we were able to produce a deliverable of sufficient completeness, quality, and accuracy, while staying under budget. Attendees will walk away with a better understanding of how to complete the most difficult of topographic surveying jobs while staying under budget and making a profit!
BENJAMIN VANDER JAGT