Vital machine health and payload data keeps the 789D performing at peak production levels.
VIMS™ Monitoring System Intelligent Caterpillar designed machine monitoring system provides critical machine health and payload data in real-time to keep the 789D performing at top production levels. This system is translated and available in most of the major international languages.
Production Management Production Management enhances truck/loading tool effectiveness, improves fleet productivity and helps extend the life of truck frames, tires, rims and power train components, while lowering operating and maintenance cost.
Payload Management Max Payload Speed Manager is a feature that aids in managing the Cat 10/10/20 Overload Policy. Based on target payload weight and overload settings, the VIMS system logs and warns the operator when the truck reaches overload after 2nd gear reweigh. The truck will be limited to 2nd gear at 1,750 rpm, and the automatic retarder speed setting is reduced to 1,750 rpm until the load is dumped. Payload management enables the manager to enhance truck/loading tool effectiveness and productivity levels by preventing overloads that can cause damage to component life and affect operator safety.
Road Analysis Control (RAC) Optional system monitors haul road conditions by measuring frame rack, pitch, and bias to improve haul road maintenance, cycle times, tire life, and fuel efficiency.
VIMS-PC VIMS-PC, the off-board reporting software program, allows service personnel to download a complete record of machine health and productivity data to a laptop computer for diagnosis and analysis. Easy-to-use software enables service technicians and mine management to generate health and payload reports for more effective machine management.
VIMS Supervisor Optional software allows mine management to easily manage and interpret VIMS data for optimum fleet management and productivity.
Machine Management Service technicians or mine personnel can download data and generate reports for better machine management. Data can be used to improve effectiveness of scheduled maintenance programs, maximize component life, improve machine availability, and lower operating costs.