Manufacturing solutions
and higher performance, especially with virtual commissioning of fully automated storage and sawing systems. KASTOenergysave is an energy recovery concept developed for automated storage systems. It enables excess potential or kinetic energy to be converted into electrical power, which is stored in double-layer capacitors for later use. An intelligent control automatically saves and discharges the energy depending on the process that is running. In this way, users can reduce the power consumption of a gantry crane by more than 50 per cent. Energy storage can also reduce peak load, saving further costs. During sawing operations, users face the challenge of making best use of stock and avoiding waste to lower material consumption and costs. The KASTOoptisaw software module optimises the assignment of long stock to every cutting order, taking into account the parameters of the various sawing machines. Bar, tube and profile of various lengths and with different mitre angles can be cut with minimum waste, reducing costs and saving space in the store, as remnants often no longer need to be returned to storage.
The KASTOapp provides a status overview of all sawing machines in the system. If a saw is operating in automatic mode, the software can extract information from the respective machine control. The user has access to precise data on parameters such as article description, cut piece length, target and actual quantity, as well as blade cutting speed and downfeed rate. If an error occurs, a message is transmitted to allow the user to react quickly and avoid downtime. KASTO’s RemoteAssistance service delivers a high degree of availability. A direct connection enables fast, detailed, remote fault diagnosis by a KASTO engineer, even in the case of complex situations. Technicians quickly respond to questions about the operation of a piece of equipment or network, then check and change parameters, and implement software updates and upgrades. With its VisualAssistance system, KASTO takes it a step further by harnessing augmented reality to simplify the remote maintenance of machines and systems by customer personnel. n
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Machinery & Manufacturing 22
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