Prinnel’s MaaS system provides valuable data that supports three core applications.
The data obtained from Prinnel’s MaaS system can be utilized in three key areas: enabling predictive maintenance by identifying early signs of equipment failure, enhancing MES systems through real-time insights that optimize production workflows, and supporting environmental monitoring by tracking key parameters to ensure compliance and sustainability.
Predictive Maintenance
Real-time information: We monitor the current status and notify alarms for deviations or the onset of malfunctions. This enables rapid and effective intervention to prevent breakdowns.
Data Assessment for Decision Making: We analyse, and present conclusions based on data from the current period compared to historical data, including incidents and their evolution. This helps to identify patterns and trends for better decision making.
Integration with other software: We integrate our results with existing CMMS and MES systems, facilitating unified and efficient management.

MES System Enhancement
Real-Time Information: We provide production parameters that are not present in MES, through interrelation, calculations and the application of constraints, improving production management and operational efficiency.
Data Valuation for Decision Making: We offer product quality traceability and historical data recording, providing a complete view of the production process and facilitating audits and evaluations.
Integration with other software: Data can be integrated with ERP and MES systems, improving coordination and optimisation of resources.

Environmental Monitoring
Real-time information: We issue alarms for deviations or failures and directly notify third parties, such as public administrations*, to ensure compliance with regulations. *Certification pending
Data Valuation for Decision Making: We maintain historical records for audits and tax payments, analysing and interpreting trends to improve environmental conditions.
Integration with Other Software: We integrate data with ERP and MES systems as well as government bodies, ensuring complete and efficient environmental management.

