At EMO 2023, the Intelligent Audio Technology (AiP) working group, co-founded by the Fraunhofer Institute IDMT in Germany and the University of Applied Sciences Emden/Leer, will demonstrate the innovative potential of audio technology in digital production and assembly. This technology can diagnose and determine the condition of the machine tool during the machining process by monitoring the sound generated by the machine tool. Additionally, operators can also issue instructions directly by voice. All these features do not increase the cost of machine tool equipment.
To improve the effectiveness of voice commands, the working group developed specific voice commands and human-machine interfaces that do not require external servers or network environments and are immune to noise interference. Voice commands are particularly suitable for operating multiple machines and can greatly improve efficiency. Operators can control any machine tool in the workshop via headphones. If a machine tool breaks down, the operator can be notified remotely. It can be said that voice control is the fastest way for humans and machines to interact.
In addition to voice command recognition, the acoustic system also includes intelligent noise sensors integrated into the machine tool to monitor the vibration status of the machine tool. At the same time, microphones installed at corresponding positions of the machine tool collect information about the spindle bearings; , fans and cooling lubricant supply conditions the sound produced. By combining smart noise sensors with AI-based algorithms, this technology can provide greater value to users.
Currently, the voice recognition algorithm is integrated into Beckhoff industrial controllers based on Windows or Linux platforms. At the same time, the working group is also developing similar solutions for other renowned control manufacturers.
A smart sensor system detects a click when the plug is connected. If there is no click, the acoustic monitoring system will register an error
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