Aingura insights
Data Acquisition
Preprocessing
Transformation
Sectors
Utilities
Applications
Maintenance
Consumption Efficiency
impact
- Leveraging the existing control system.
- Reduction of the number of sensors required to obtain the improvement.
- Use of energy consumption to evaluate mechanical behavior
Developed AI Technologies
- Online Machine Learning-based non-intrusive load monitoring.
- Multi-consumer baseline generation
Challenges
- Transformation of the current maintenance model based on catalog-based preventive (without considering actual use) and corrective maintenance (with the consequent system downtime, reduced availability and higher repair costs).
- Use of a single measurement system to obtain data from a line (30 conveyors), applying Machine Learning algorithms for start-up differences identification and degradation tracking by high-speed energy consumption measurement..
results
- Reduction of unscheduled shutdowns (>80%).
- Reduction of preventive maintenance cost (50%)
- Reduction of corrective maintenance cost (20%).
- Reduction of energy consumptions (5%).
- PRI: 1,5 years
- The system can also be used to improve other systems like elevators, automatic stairs, HVAC or pumps in the airport
DO YOU WANT TO KNOW BETTER THE BENEFITS THAT AINGURA IIoT COULD BRING TO YOUR COMPANY?
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