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Can you imagine controlling a delicate load, such as a sheet of glass, with an overhead crane while it is swinging drastically from side to side? Aside from the obvious safety challenges this could entail, such as damage to nearby individuals, equipment or products, the operator would need to wait as much as a few minutes before the load stopped swinging before he or she could properly place and position the load. Clearly, load sway is a hazard for both safety and productivity.
Yet without a Sway Control feature, it can be difficult to combat load sway. It would require the crane operator to divide his or her attention between maneuvering the crane and performing actions to reduce sway.
Sway Control from Konecranes was designed so that crane operators can focus on the surrounding environment and selecting a safe traveling path to maneuver a load, instead of needing to spend their focus on reducing load sway.
Konecranes Sway Control has been designed to maximize uptime by reducing swinging loads that can lead to production delays and downtime. A recent study confirmed that cranes with Sway Control are 60% faster than an ordinary crane. *
Sway Control works by stabilizing the load during trolley traverse and/or bridge travel motions. This smart feature works automatically: the operator can accelerate and decelerate the crane as needed while the Sway Control feature works to minimize sway.
Sway Control can be activated via the selector switch on the operating interface. Crane operators can control and position loads with predictability and precision and operate all motions simultaneously both in manual and optional automatic modes.
Each year, Pilkington produces 250,000 tons of glass at its homestead Sweden facility. Swinging glass sheets caused safety hazards and frequently caused production delays, as operators needed to wait for the load to stop swinging before they could begin to place the glass. Since Sway control was introduced to the facility, the process has gone smoothly. See the difference with Sway Control.
*A. Khalid. W. Singhose, J. Huey and J. Lawrence: Study of operator behavior, learning and performance using an input-shaped bridge crane. Proceedings of the 2004 IEEE International Conference on Control Applications, 2004, pp 759-764.
