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mechmine schaden erkennen Getriebe cloud Loesung mechmine LLC predictive maintenance am puls der maschine en desktop fingertip web

mountain rails and lifts

Early detection of anomalies, mobile access to data due to cloud-based machine monitoring.

 Mountain rails and lifts: our offering

fa stats Stable operations: thanks to 24/7 continuous condition monitoring and health prediction
fa heart Maximise component lifetime: exploit the remaining useful life of components thanks to artificial intelligence (AI) and reduce waste
fa sliders Simple and safe operation: thanks to its intuitive, user-friendly and user-needs-based web-interface
fa cog Integration into your system: present analysis result in your control system, e.g. show trends in Remec's Sambesi
fa shield Highest level of data protection: autonomous and passive AI-system, independent of your IT or control software

Cost benefits: amortization of the Mechmine solution in 6 to 18 months

A cable car in the Swiss mountains stops operation for 28 days due to a gearbox failure during the winter season. On average, they sell beyond 100 day-tickets at CHF 100 and every guest usually consumes another CHF 40 or more in the restaurants. This accumulates to a revenue loss of CHF 336'000 during the standstill. Add to this the costs for the repair of well over CHF 25'000.

mechmine llc predictive maintenance schadenserkennung bergbahnen roi

Mechmine technology

Mechmine increases your plant availability by moving from condition monitoring to predictive maintenance. Determine the time of maintenance and repair yourself. Monitor bearings or gears in critical maschines successfully. Mechmine offers a secure retrofit turnkey solution - access from anywhere, anytime and comprehensible to everybody.

Continuous monitoring & forecasting, 24/7

  • From condition monitoring to predictive maintenance
  • Increase plant availability
  • Turnkey solution, everything from one source

Highest data quality & data analysis performance

  • Optimized hardware for slow-turning machines
  • Special vibration sensors for slow-moving machines
  • Allows early detection of upcoming defects and affected components

Intuitive user interface

  • Appropriate visualization through several levels
  • Traffic lights – trends – details
  • Data and trends can be displayed in the Sambesi

References and examples

  • Cable-car in Elm, Switzerland
  • Funicular and group cable-car in Niederhorn, Switzerland
  • Funicular in Davos Parsenn, Switzerland
  • Funicular in Bad Wildbad, Germany
 

Exemplary illustrations

Mobile access
Dashboards
Early detection of anomalies