Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
Data Sensing & Acquisition 3
Time:
Wednesday, 28/July/2021:
11:00am - 12:00pm

Session Chair: Borja Garcia de Soto
Session Chair: Alessandro Carbonari

Subtopic: Novel Sensing and Monitoring Systems


Show help for 'Increase or decrease the abstract text size'
Presentations
11:00am - 11:20am

AUTOMATING EQUIPMENT PRODUCTIVITY MEASUREMENT USING DEEP LEARNING

Elham Mahamedi, Kay Rogage, Omar Doukari, Mohamad Kassem

Northumbria University Newcastle, United Kingdom

Measuring the productivity of earth moving equipment help to identify their inefficiencies and improve their performance; however, measurement processes are time and resource intensive. Current literature has foccussed on automating equipment activity capture but still lack adequate approaches for measurement of equipment productivity rates. Our contribution is to present a methodology for automating equipment productivity measurement using kinematic and noise data collected through smartphone sensors from within equipment and deep learning algorithms for recognizing equipment states. The testing of the proposed method in a real world case study demonstrated very high accuracy of 99.78% in measuring productivity of an excavator.



11:20am - 11:40am

BIM, DIGITAL TWIN AND CYBER-PHYSICAL SYSTEMS: CROSSING AND BLURRING BOUNDARIES

Dean Douglas, Graham Kelly, Mohamad Kassem

Northumbria University Newcastle, United Kingdom

Digital twin's anticipated value proposition is deemed to be focussed on its capability of generating new understanding and insights into an asset at all stages of its lifecycle exploiting diverse data sets from a multitude of sources and professions, in real or near real-time. However, there is still significant debate about the delineation ( communalities and differences) between digital twin and other related concepts, particularly Building In-formation Modelling (BIM) and Cyber-Physical Systems (CPS). To date, this debate has been confined to social media discussions, insights blogs and position papers. This paper addresses this challenge using a systematic review approach.



11:40am - 12:00pm

COMPARISON OF ACCURACY AND DENSITY OF STATIC AND MOBILE LASER SCANNERS

Maciej Piotr Trzeciak, Ioannis Brilakis

University of Cambridge

We test the accuracy and density of mobile lidar-based scanners and compare them with the performance of a static scanner. This is achieved by systematically scanning a rectangular target at a growing distance, collating the statistics of the scans and comparing them. This study shows that the accuracy of the scans outputted by the static scanner is about 20 times better at 5 meters than those produced by the mobile devices and this gap further increases along with the distance. The density drops along with the distance for all the tested devices, with mobile scanners outperforming their static counterparts.



 
Contact and Legal Notice · Contact Address:
Privacy Statement · Conference: EC³ 2021
Conference Software - ConfTool Pro 2.6.141+TC
© 2001 - 2021 by Dr. H. Weinreich, Hamburg, Germany