Other Civil and Environmental Engineering Commons^™

Datumate, Purdue Ect Team

ECT Fact Sheets

Datumate is digitally transforming civil engineering processes used in construction, surveying and infrastructure inspection markets with fully automated, highly precise, cost effective and safe tools. It utilizes state-of-the-art image processing and advanced drones and camera technologies dramatically reducing the amount of time surveying crews spend in the field, speeding up construction progress checks and shortening infrastructure inspection duration, while maintaining survey grade accuracy. The intuitive, simple and automated solutions increase productivity by saving field and office time in civil engineering and inspection projects of roads, intersections, stockpile volumes, topography, piping, industrial facilities, bridges, property surveys, building facades, railways, cellular infrastructure …

Qkan - Management Of Drainage System Data With Qgis, Jörg Höttges

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

Based on QGIS a database structure and a set of plugins have been developed to improve the workflow for the hydraulic design of urban drainage systems for consulting engineers. The main goal is pre- and postprocessing in combination with various commercial hydraulic simulation software packages. The plugins provide import and export functionalities, simulation result viewing and generation of longitudinal cross sections in a CAD program. All modules make intensive use of SQL based spatial functions instead of functions implemented in QGIS, because of their stability, higher flexibility and speed due to the indexing functionality. On the other hand the database …

Smartvid.Io, Purdue Ect Team

ECT Fact Sheets

The collection, organization, and retrieval of industrial media is a pervasive challenge that is especially glaring for companies in the AEC industry. Construction projects often generate large volumes of pictures & videos from the field for tracking progress and communicating between engineers, contractors, and subcontractors. It is not uncommon for field personnel to capture hundreds of photos per week on any given jobsite.

Smartvid.io is a cloud-based software solution designed for the specific needs of industrial media. The application’s internal deep-learning engines, collectively nicknamed VINNIE (for ‘Very Intelligent Neural Network for Insight and Evaluation’), use speech and image recognition to …

A Centralized Management System For Raster Data, Felix Linde, Ralf Wieland, Karin Groth

International Congress on Environmental Modelling and Software

We present a concept for a system to manage and distribute geo-referenced raster data from multiple possible sources on the institute level. The core concept is to centralize all import routines for data from different sources and formats, store the information in a common data format and distribute the needed information for research purposes upon request. By using hdf5 files, it can be assured that geo-spatial data is always kept in close connection with the corresponding meta-data. Furthermore this approach builds a technical basis for enhancing data fusion methods by allowing the use of common analysis routines, regardless of the …

A Scientific Data Management Infrastructure For Environmental Monitoring And Modelling, Daniel Henzen, Matthias Mueller, Simon Jirka, Ivo Senner, Thomas Kaeseberg, Jin Zhang, Lars Bernard, Peter Krebs

International Congress on Environmental Modelling and Software

Environmental projects often require the collaboration of researchers from different disciplines or domains in an interoperable context. With regard to data handling, most of these projects have an analogous workflow: phenomena are monitored, observation data are captured, (pre-) processed, exchanged, published, and finally disseminated among other scientists, practitioners and stakeholders. In many cases, each of the project partners implements these workflows separately and the integration of the distributed data sets happen in later project stages. In this paper, we present building blocks for research data infrastructure which covers the complete project cycle and supports data integration right from the beginning. …