Sensor Acquisition and Allocation for Real-Time Monitoring of Articulated Construction Equipment in Digital Twins
The visibility available to an equipment operator on a dynamic construction site can often be blocked by various obstacles such as materials, temporary or permanent facilities, other equipment, and workers. Equipment monitoring in real-time digital twins can thus play a crucial role in accident prev...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/19/7635 |
| _version_ | 1797476799722029056 |
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| author | Sanat A. Talmaki Vineet R. Kamat |
| author_facet | Sanat A. Talmaki Vineet R. Kamat |
| author_sort | Sanat A. Talmaki |
| collection | DOAJ |
| description | The visibility available to an equipment operator on a dynamic construction site can often be blocked by various obstacles such as materials, temporary or permanent facilities, other equipment, and workers. Equipment monitoring in real-time digital twins can thus play a crucial role in accident prevention. This paper develops a scalable technical approach and presents a prototype application framework for transmitting real world sensor data to update 3D equipment models inside a graphical digital twin for concurrent visualization of a monitored construction operation. The developed framework and workflow can be extended to visualize any construction operation, as it occurs, inside a dynamic 3D world simply by outfitting the real equipment with appropriate sensors and connecting them to their virtual counterparts. The implemented proof-of-concept interface is described in the context of a real-time 3D digital twin for assisting excavator operators prevent unintended strikes with underground utilities. Experiments to validate the proposed technical approach by simulating the real-time motion of a backhoe loader’s articulated arm using orientation sensors installed on its boom, stick, and bucket are described. The experimental results characterize the scope and potential reasons for spatio-temporal discrepancies that can occur between a monitored real operation and its replicated digital twin. The effect of an operator warning mechanism based on preset safety thresholds is also investigated and described. |
| first_indexed | 2024-03-09T21:08:50Z |
| format | Article |
| id | doaj.art-139ccdf734d349bfb27d5ab1914c5325 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T21:08:50Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-139ccdf734d349bfb27d5ab1914c53252023-11-23T21:52:22ZengMDPI AGSensors1424-82202022-10-012219763510.3390/s22197635Sensor Acquisition and Allocation for Real-Time Monitoring of Articulated Construction Equipment in Digital TwinsSanat A. Talmaki0Vineet R. Kamat1Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USADepartment of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USAThe visibility available to an equipment operator on a dynamic construction site can often be blocked by various obstacles such as materials, temporary or permanent facilities, other equipment, and workers. Equipment monitoring in real-time digital twins can thus play a crucial role in accident prevention. This paper develops a scalable technical approach and presents a prototype application framework for transmitting real world sensor data to update 3D equipment models inside a graphical digital twin for concurrent visualization of a monitored construction operation. The developed framework and workflow can be extended to visualize any construction operation, as it occurs, inside a dynamic 3D world simply by outfitting the real equipment with appropriate sensors and connecting them to their virtual counterparts. The implemented proof-of-concept interface is described in the context of a real-time 3D digital twin for assisting excavator operators prevent unintended strikes with underground utilities. Experiments to validate the proposed technical approach by simulating the real-time motion of a backhoe loader’s articulated arm using orientation sensors installed on its boom, stick, and bucket are described. The experimental results characterize the scope and potential reasons for spatio-temporal discrepancies that can occur between a monitored real operation and its replicated digital twin. The effect of an operator warning mechanism based on preset safety thresholds is also investigated and described.https://www.mdpi.com/1424-8220/22/19/7635digital twinmonitoringvisualizationearthmovingexcavation safety |
| spellingShingle | Sanat A. Talmaki Vineet R. Kamat Sensor Acquisition and Allocation for Real-Time Monitoring of Articulated Construction Equipment in Digital Twins Sensors digital twin monitoring visualization earthmoving excavation safety |
| title | Sensor Acquisition and Allocation for Real-Time Monitoring of Articulated Construction Equipment in Digital Twins |
| title_full | Sensor Acquisition and Allocation for Real-Time Monitoring of Articulated Construction Equipment in Digital Twins |
| title_fullStr | Sensor Acquisition and Allocation for Real-Time Monitoring of Articulated Construction Equipment in Digital Twins |
| title_full_unstemmed | Sensor Acquisition and Allocation for Real-Time Monitoring of Articulated Construction Equipment in Digital Twins |
| title_short | Sensor Acquisition and Allocation for Real-Time Monitoring of Articulated Construction Equipment in Digital Twins |
| title_sort | sensor acquisition and allocation for real time monitoring of articulated construction equipment in digital twins |
| topic | digital twin monitoring visualization earthmoving excavation safety |
| url | https://www.mdpi.com/1424-8220/22/19/7635 |
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