An Interactive Planning Environment for Critical Operations

Lin, Kuo-Liang; Haas, Carl T.

doi:10.1061/(asce)0733-9364(1996)122:3(212)

Cited by 46 publications

(16 citation statements)

References 9 publications

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“…While heuristics may help finding good solutions, they may not find the best solutions. However, they have been modeled with various degrees of truthfulness, detail, and success in operations research and artificial intelligence applications for the space management [9][10][11]6,[12][13][14]. Spaces on building floors often become scarce when multiple constructions occur simultaneously in close proximity.…”

Section: Related Researchmentioning

confidence: 99%

“…Therefore, the objects used in the job site layout plan such as tower crane, stage area, and temporary office are not accounted for in the floor-level construction material layout. Journal articles on the job site layout plans [10,11,6,12,13,[16][17][18]12,19,[20][21][22] provide useful background information on the comprehensive methods used to automate allocation of site-level construction facilities (Fig. 1).…”

Section: Related Researchmentioning

confidence: 99%

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Optimization of floor-level construction material layout using Genetic Algorithms

Jang¹,

Lee

Choi³

2007

Automation in Construction

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Section: Related Researchmentioning

confidence: 99%

Section: Related Researchmentioning

confidence: 99%

Optimization of floor-level construction material layout using Genetic Algorithms

Jang¹,

Lee

Choi³

2007

Automation in Construction

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“…Equipment operators can also use graphical models as an interactive visual feedback tool during equipment operation or as a means of path and motion planning and interference checking prior to execution (also known as graphical off-line programming). Research indicates that several applications such as earth moving, heavy lifting, and material handling can benefit from the use of graphical models of equipment and workspace (Stentz et al, 1998;Cheok et al, 2000;Cho, 2000, Haas et al, 1995Haung and Bernold, 1997;Kim and Haas, 2000;LeBlond et al, 1998;Lin and Haas, 1996). Real-time interference checking for obstacle avoidance is also possible using local area graphical models.…”

Section: Introductionmentioning

confidence: 99%

Rapid Human‐Assisted Creation of Bounding Models for Obstacle Avoidance in Construction

McLaughlin

Sreenivasan

Haas

et al. 2003

Computer aided Civil Eng

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State‐of‐the‐art construction equipment control technology creates the opportunity to implement automated and semiautomated object avoidance for improved safety and efficiency during operation; however, methods for constructing models of local objects or volumes in real‐time are required. A practical, interactive method for doing so is described here. The method: (1) exploits a human operator's ability to quickly recognize significant objects or clusters of objects in a scene, (2) exploits the operator's ability to acquire sparse range point clouds of the objects quickly, and then (3) renders models, such as planes, boxes, and generalized convex hulls, to be displayed graphically as visual feedback during equipment operation and/or for making proximity calculations in an obstacle detection system. Experiments were performed in which test subjects were asked to model objects of varying complexity and clutter. These models were then compared to control models using a ray‐tracing algorithm to determine the operator's ability to create conservative models that are critical to construction operations. To demonstrate the applicability of the modeling method to obstacle avoidance, a scripted motion robot simulation was conducted using an artificial potential formulation that monitors position (closest point on manipulator link to nearest obstacle) as well as velocity (link inertia). Experimental results indicate that bounding models can be created rapidly and with sufficient accuracy for obstacle avoidance with the aid of human intelligence and that human‐assisted modeling can be very beneficial for real‐time construction equipment control.

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“…Based on work requirements and the starting and the destination points, the shortest, collision-free path is identified by various algorithms (Varghese and O'Connor 1995;Tserng et al 1996;Lin and Haas 1996). Typical applications include routing large vehicles or heavy-lift operations on construction site as well as autonomous landfill using global positioning system (GPS).…”

Section: Introductionmentioning

confidence: 99%

Integrating CAD and schedule for identification and resolution of work space conflicts between subcontractors

Guo¹

2001

Can. J. Civ. Eng.

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Numerous workers, equipment, material, temporary facilities, and permanent structures share the limited space during construction. Since space constraints may affect productivity and the critical path, it is essential to organize the available space efficiently and minimize space conflicts. This study considers space availability due to time and scheduling, productivity loss due to space constraints and path interference, as well as the possibility of alternative space to resolve these conflicts and optimize space usage. Herein CAD is integrated with scheduling software for dynamic identification of space conflicts on the job site. Follow-up supplemental decision criteria are then provided for conflict analysis and resolution. A prototype decision support system, which combines the criteria, was developed to solve this significant and complex problem more efficiently and precisely. A case study demonstrates the use and development of this system, which is very helpful to engineers and project management.Résumé : Plusieurs travailleurs, pièces d'équipements, matériaux, installations temporaires ainsi que des structures permanentes partagent un espace limité durant la construction. Puisque des contraintes d'espace peuvent affecter la productivité et le chemin critique, il est essentiel d'organiser l'espace disponible efficacement et de minimiser les conflits d'espace. Cette étude considère la disponibilité de l'espace causée par le temps et la planification, la perte de productivité causée par les contraintes d'espace et l'interférence des chemins, ainsi que la possibilité d'espaces alternatifs afin de résoudre ces conflits et d'optimiser l'usage de l'espace. En cela, la CAO est intégrée à un programme de planification afin de permettre une identification dynamique des conflits d'espace sur le site de travail. Des critères de décision supplémentaires de suivi sont ensuite fournis pour l'analyse et la résolution de conflits. Un prototype de système de décision combinant les critères a été développé afin de résoudre ce problème important et complexe de façon plus efficace et précise. Une étude de cas démontre l'utilisation et le développement du système, qui est très utile pour les ingénieurs et les directeurs de projets.

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An Interactive Planning Environment for Critical Operations

Cited by 46 publications

References 9 publications

Optimization of floor-level construction material layout using Genetic Algorithms

Optimization of floor-level construction material layout using Genetic Algorithms

Rapid Human‐Assisted Creation of Bounding Models for Obstacle Avoidance in Construction

Integrating CAD and schedule for identification and resolution of work space conflicts between subcontractors

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