Sensor sleeve could improve efficiency in the workplace
Researchers in Germany have developed a new system for recording the time it takes for workers to complete manufacturing assembly operations.
Until now, inspectors have timed procedures, usually manually, in order to organise manual assembly operations efficiently – a method prone to error.
The new system, developed by researchers at the Fraunhofer Institute for Factory Operation and Automation, records times automatically and is being offered as a cost saving, more reliable alternative.
The system relies on three matchbox-sized sensors integrated in a sleeve, which record hand and arm movements and measure the start and end of individual actions.
The interlinked, inertial sensor modules are positioned on the upper and lower arm and the hand to measure the acceleration and angular velocities in the X, Y and Z axes. They are designed to differentiate between reaching, grasping, setting up, joining, checking and releasing.
"The present stopwatch method only allows a process organiser to time five individuals simultaneously, depending on the situation," said Fraunhofer researcher Martin Woitag. "Our solution makes it possible to record time simultaneously, even at several workplaces, without requiring additional labour. The system's greater precision and objectivity is crucial."
Unlike other motion tracking systems, such as GPS, Woitag claims the inertial measurement system functions without any other infrastructure. It is also capable, he says, of independently detecting an objects position in space.
"What's more, our solution doesn't require complex calibration. A tool that teaches in the measuring points directly at the assembly workplace one time is all that is needed. A PC application completes the system. The software calculates and reconstructs the motion sequences based on the sensor data. It breaks processes down into motion segments and ascertains the related times."
At present, the sleeves can be used for assembly jobs at sitting workplaces in logistics and manufacturing. The researchers are now looking to configure the system to also analyse assembly operations during which workers stand or move around.
