An intelligent BIM-based automated progress monitoring system using self-navigating robots for data acquisition

Hassan, Muhammad Usman
Construction managers require a continuous flow of timely and accurate site status information that is acquired efficiently for successful project delivery. Current methods of data acquisition from the site are error-prone, laborious, and unable to provide timely information to project stakeholders for effective decision making. In this research, we developed a methodology for extraction of data points using BIM, acquisition of progress data using self-navigating robots, estimation of progress information using computer vision algorithms, followed by calculation and visualization of cost metrics. All these steps are performed without any human input in an automated manner to create a robust and efficient mechanism that is both accurate and cost-effective. The developed methodology is named Context-Aware Progress Monitoring System (CAPMS) which consists of five distinct phases. In the first phase; as-built spatial and semantic information from BIM is extracted to calculate data points for element level data acquisition using the imaging sensor. Using this extracted element data, an algorithm creates an element-wise activity list for the formation of a 4D model. The second phase involves acquiring images using a BIM-based data acquisition device, which is verified by a robot, that navigates inside the structures and reaches elements to photograph them. The robot acquires images of building element and transmits them vi to the server for progress estimation from image data. In the third phase, a contextaware method is developed to estimate element status using computer vision algorithms. Contextual information obtained from schedule adds robustness to the developed methodology by reducing false positives. The states of the elements are used to estimate progress status and update cost-based progress metrics which we visualize on a dashboard in the fifth and final phase. The developed system has been validated by using the images obtained on two different construction sites with a robot and processing those images to determine accurate progress status in an automated manner.


Identifying the barriers of implementing lean construction principals in developing countries
Markazi Movaghar, Ehsan; Elias Özkan, Soofia Tahira; Department of Building Science in Architecture (2016)
The construction industry is congested with many types of project management systems to control and manage construction projects but none of them really look in-depth to maximize the efficiency of the work flow and minimizing waste. The implementation of the lean construction principles into the local construction scene can improve the problems. However, lean construction is complex and can be risky if not properly managed. Lean construction efforts in some other countries have not been successful due to th...
A Support vector regression method for conceptual cost estimate of construction projects
Yolasığmaz, İsmet Berki; Sönmez, Rifat; Department of Civil Engineering (2015)
Conceptual cost estimate is very important for initial project decisions when the design information is limited and the scope is not finalized at the early stages of the construction projects. It has serious effects on planning, design, cost management and budgeting. Therefore, the decision makers should be as accurate as possible while estimating the conceptual cost at the initial stage since a misestimation on the conceptual cost may lead to serious problems during feasibility analysis or at the later sta...
A Mixed integer programming method for integrated discrete time-cost trade-off and manpower resource leveling problem
Tatar, Ali Can; Sönmez, Rifat; Atan, S. Tankut; Department of Civil Engineering (2016)
Construction projects have to meet all of the objectives of scope, quality, schedule, budget simultaneously. These objectives, however, cannot be considered as independent of each other. For example, an increase in direct resources will usually lead to shorter activity durations. A shorter project duration results in lower indirect costs, whereas the additional resources cause an increase the project’s direct costs, in general. This phenomenon is defined as time-cost trade-off problem (TCTP). Nevertheless, ...
Unmanned aerial vehicle based visualization of deep excavations using game engines
Teke, Türker; Pekcan, Onur; Department of Civil Engineering (2016)
In the last two decades, the advancements in monitoring tools and growing use of information technologies lead to better visualization of construction sites. The challenge in this field is to develop an extensively capable tool for safety check, progress monitoring and quality control. In this sense, Geotechnical Engineers need a comprehensive understanding of field conditions, which includes topography, soil conditions, effect of nearby structures, etc. In this study, game engines are proposed as visualiza...
A Hybrid genetic algorithm for multi mode resource constrained scheduling problem for large size projects
Gürel, Mustafa; Sönmez, Rifat; Department of Civil Engineering (2015)
Just like in all industries, some of the available resources, in order to finish a project on time, are constrained in construction industry. To be able to finish the project on time has high importance both for the contractor and for the owner. Project scheduling in which resources are limited for a particular time are called as resource constrained project scheduling problems (RCPSP) and occupies a significant place in construction management. Especially for large scale projects, little success has been a...
Citation Formats
M. U. Hassan, “An intelligent BIM-based automated progress monitoring system using self-navigating robots for data acquisition,” Ph.D. - Doctoral Program, Middle East Technical University, 2018.