scholarly journals GPS-based framework towards more realistic and real-time construction equipment operation simulation

2012 ◽  
Author(s):  
Nipesh Pradhananga ◽  
Jochen Teizer
Keyword(s):  
Real Time ◽  
Construction Equipment ◽  
Equipment Operation

BIM-Based Real-Time Monitoring of the Equipment Maintenance of Property

2012 ◽  
Vol 226-228 ◽  
pp. 2217-2221 ◽  
Author(s):  
Cheng Shuang Sun ◽  
Qian Che
Keyword(s):  
Real Time ◽  
Economic Benefits ◽  
Property Management ◽  
Equipment Maintenance ◽  
Real Time Monitoring ◽  
Equipment Operation ◽  
Fault Handling ◽  
Operation Period ◽  
The Moment ◽  
Operation Phase

The operation phase is not only the longest stage of the life cycle of a project, but also the moment when people accumulates most information of the project. Because of the secular and complexity of property management during the operation period, and as there is large amount of information loss during the several periods before operation, it is very difficult to manage equipments all through the way. Based on the BIM technology, authors build a database of the equipment operation parameters to solve this problem. This paper realizes the real-time monitoring of the update of equipment information, equipment maintenance and fault handling during the operation stage. The research puts forward a new way to improve the standards of property management which will lead to a better economic benefits.

scholarly journals 3D EARTHWORK BIM DESIGN AND ITS APPLICATION IN AN ADVANCED CONSTRUCTION EQUIPMENT OPERATION

2019 ◽  
Vol 4 (2) ◽  
pp. 22-26 ◽  
Author(s):  
Jeonghwan Kim ◽  
◽  
Heeyeon Kim ◽  
Waqas Arshad Tanoli ◽  
Jongwon Seo ◽  
...  
Keyword(s):  
Construction Equipment ◽  
Equipment Operation

scholarly journals The development of a geo-referencing system for machine controlled construction equipment

2021 ◽  
Author(s):  
Nicholas Muth
Keyword(s):  
Real Time ◽  
Least Squares Method ◽  
Vertical Component ◽  
Simulated Data ◽  
Kinematic Chain ◽  
Construction Equipment ◽  
Main Body ◽  
Total System ◽  
Positional Accuracy ◽  
End Effector

Machine controlled construction equipment (MCE) continues to garner support from the construction industry due to shortages of skilled labor, constant technological advances and the importance of construction to the overall economy. MCE requires reliable, real-time geo-referencing of the equipment end-effector. However, MCE research continues to focus on relative positioning for control system design, while research dealing with geo-referencing has been mainly in the fields of aerial mapping and terrestrial mobile mapping, which can benefit from post-processing. The research described in this thesis attempts to overcome this problem by developing a real-time geo-referencing system specifically for MCE. The total system consists of three components; an integrated DGPS/INS to geo-reference the equipment main-body; an open kinematic chain to relatively position the end-effector with respect to the main-body; and a unified model to geo-reference the end-effector. The system carrier is designed for an excavator, but the model for the development of the open kinematic chain, designed using the Denavit-Hartenberg convention, can accommodate any type of MCE. The overall objective was the development of a precise geo-referencing system that could be operated under all construction conditions and could achieve an accuracy required for the recording of exposed infrastructure which calls for a vertical component of 15mm. This required high-level accuracy in both the position and orientation, therefore, DGPS and INS were integrated. Furthermore, the positional accuracy required double-differenced carrier phase measurements implemented using a least squares method for ambiguity resolution. Extended Kalman filters (EKF) were used for DGPS baseline estimation and DGPS/INS integration, the latter using a tightly-coupled, closed-loop architecture. Finally, error analysis was completed on the open kinematic chain to resolve the accuracy required in the joint sensors. System testing was completed using sample data from an International Federation of Surveyors Commission mobile van test and simulated data for the open kinematic chain. Results showed that the geo-referencing system was able to achieve ±0.024m (RMSE) horizontally and ±0.034m (RMSE) in height when the excavator was stationary and executing a common digging trajectory. The accuracy achieved would allow the excavator to operate autonomously for several common construction tasks.

Sign in / Sign up

Export Citation Format

Share Document