Data is the foundation of modern decision-making. Our dashboard delivers more than just numbers—it provides valuable insights into process stability and efficiency of cleanroom monitoring.
The Moqlero statistics dashboard visualizes the total volume of all measurements conducted, enabling precise capacity planning. Seasonal peaks are made transparent through detailed sub-evaluations per month, year, and total period.
The distribution of all 14 measurement types is broken down in detail: Filtertest, Recovery, Laminar Flow Maintenance, Particle Monitoring: Room in Operation, Particle Monitoring: UAF in Operation, Particle Classification: Room at Rest, Particle Classification: UAF at Rest, Particle Gas, Zero Measurement, Clean-Up Test, Activity, Physical Environment, Air Exchange Rate, and Airflow Direction / Smoke Test. Additionally, linear extrapolation of measurement counts enables a well-founded forecast of future workloads.
While this dashboard provides operational performance indicators (quantities, types), detailed qualitative evaluations (e.g., long-term particle trends or recovery times) can be found in the dedicated module Trend Analysis. The following six trend types are available: Filter Efficiency, Filter Differential Pressure, Particle Counts, Physical Environment, Air Volume Measurement, and Air Exchange Rate. Both views complement each other for complete process control.