ACS-PAMM
PREDICTIVE ANALYTICS
FOR MACHINERY AND MECHANISMS
FOR MACHINERY AND MECHANISMS
Smart platform for preventing malfunctions and technical assessment of the vehicles
- Units and equipment malfunction alerts
- Increasing the efficiency of equipment operation
- Residual life of equipment forecast
Problems of mining enterprises
- Equipment and vehicle downtime
- Reduced equipment performance
- Unplanned repairs
- Increase in operating costs
- Negligent attitude of drivers and mechanics to transport
- Low quality of fuel, consumables and spare parts
- Violation of safety standards
- Lack of transparency in mutual settlements with contractors
Unique functionality of the system:
- Automatic diagnostics of the current state of the vehicle fleet
- Assessment of the degree of fault tolerance
- Critical alerts from aggregates and nodes
- Unit lifetime forecast and the transition to the “predictive” maintenance
- Saving consumables for mining equipment
- Operating procedures control & compliance
- Self-learning system
Dump truck diagnostic dashboard
Reducing the number of unscheduled repairs and repair costs by 33%
Reduced downtime by 91%
Optimization of turnover of spare parts and consumables up to 35%
Extension of the total life of the machinery and individual components up to 54%
Reducing maintenance costs by 43%
Improving the quality of rolling stock management by 51%
The elimination of the human factor in the maintenance and operation of the vehicle
Путь проекта
Goals definition and objectives of the enterprise
Aggregationof telemetry data
Evaluation of data quality
Launch of intellectual subsystem
Analysis of data
Intellectual system settings using keywords
Creating pattern recognition model
Getting predictive analysis results
Putting the software into operation
Training the system
Advantages
- Integration with modern information systems - 1C, SAP, Axapta, Galaxy
- Diagnostics, replacement and installing new sensors on equipment
- Development of additional functionality by client's request
- Operational integration of the systems
- Flexible integration into the existing digital infrastructure of the enterprise
- Increase of efficiency of enterprise management
- Efficient resource allocation
- Fast project payback
- Measurable economic effect
- Prompt response in emergency situations
