"This software solution, CARL-PdM, provides many core capabilities in industrial scenarios, including edge analytics who provide a way to pre-process the data so that only the pertinent information is sent to the predictive layer (Auto Classification and Machine learning).
The predictive layer will categorize data into abstract class which represent technical assets behavior. It is a reliable and reproducible approach.
Competitive advantages:
- Reduce failure by 50%, maintenance cost by 30%, production stops by 70%, energetic consumption by 20%, Time To Repair by 30%
- Increase production flexibility
- System agnostic to machines
- Machine-learning algorithm that compares the fault prediction and sensor data with historical data, predicting best maintenance activity regarding to production and quality objectivesWith this digital platform which is capable of analyzing real time data provided by communicating sensors, technical services will be able to improve equipment operation (equipment configuration, predictive maintenance, prediction of failure, etc.) thanks to statistical analysis and generation of predictive models.
The development of this prototype dedicated to technical services places CARL Software among the pioneers of tools dedicated to the management of equipment for the industry of the future, Smart Building and Smart Cities.
CARL Software focuses its R&D on studying new maintenance uses created by the Internet of Things and by artificial intelligence to integrate them into its CMMS.
In the short term, we plans to connect its CARL Source CMMS to all types of IoT to have necessary planning data for an optimal triggering of preventive maintenance and optimization of equipment operation.
In the medium term, the equipment digital data will be processed and analyzed by the platform which will generate behavioral and predictive models that will enrich the characteristics of the equipment managed on CARL Source and create a ""digital twin"" of the equipment.
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