Issue:
Safety on construction sites is always among the major concerns of project managers. The complexity of on-site conditions requires careful planning and coordination of different equipment to ensure safety and efficiency. This research aims to improve construction safety by providing proactive warnings to workers and equipment operators and by planning the motion of equipment during the execution of tasks while avoiding collisions and considering the engineering constraints of equipment. The potential obstacles will be detected using a new type of sensors called Ultra-wideband Real-Time Location System.
Objectives:
Research has indicated that machinery-related incidents were the fourth leading cause of traumatic occupational fatalities in the construction industry. This project aims to reduce the risk of workers of falling to a lower level or being struck against an object by providing them with warning alerts; and therefore reducing the risk of workers being caught or compressed by equipment by providing collision detection and re-planning in near real time.
Anticipated Results:
Results will include developments of guidelines for using real-time field data capturing techniques for systems supporting equipment operators and workers; new algorithms for warning alerts and path planning to avoid collisions in near real time; a framework for collaborative multi-agent systems for construction equipment; and an integrated system of software and hardware which will be implemented and tested.
Investigators:
Amin Hammad (Concordia University)
