Remote Monitoring Anticipates Potential Issues, Prevents Stoppages
Chevalier Machinery USA has launched the iMachine communications system, which enables users to avoid downtime and a loss of productivity.
Chevalier Machinery USA has launched the iMachine communications system, which enables users to avoid downtime and a loss of productivity. This monitoring system connects clients with MT-LINKi on Chevalier machines to compile performance data and monitor machines remotely. Additionally, it collects data on alarm history, maintenance and overall equipment effectiveness (OEE). The software is designed to anticipate potential issues and prevent stoppages, which increases productivity.
The ability to remotely monitor and service the functionality of machinery eliminates having direct physical contact during inspection, keeping downtime to a minimum. The software can identify and report lags in productivity on a 24/7 basis. Instantaneous communication from a machine allows the operator to make fast modifications, resulting in a highly efficient and profitable machine.
The software is designed to be user-friendly. Smartphone applications will be available to provide access to the status of the machine regardless of the end user’s location, fostering a greater understanding of production assessment and streamlining operations for greater efficiency and productivity.
Introduced at IMTS 2008, this communications protocol for CNC machines and other manufacturing equipment is already helping shops and plants implement effective machine monitoring systems. Although these "early adopters" are motivated by the long-term promise of enterprise-wide efficiency gains, their experience with pilot projects shows that benefits derived in the short term are substantial and worthwhile.
For two shops in northern Indiana, using MTConnect for machine monitoring was just the start. Both shops are now ready to implement other promising applications.
Cutting tool manufacturers have worked together to create a generic tool catalog format that helps link cutting tool information with applications supporting data-driven manufacturing.