Many industries observe the high variance in the quality of batches produced, which may be due to the lack of process monitoring or the drive to achieve maximum yield utilizing the proper amount of raw materials used in various processes. The ability to track different KPIs, Raw Material utilization, detect Process Faults, and take action in real-time becomes significant to increase process understanding and reduce overall cost as businesses strive for improved performance. Through Batch Analytics, one can leverage the reference of batch-to-batch variation to maximize yield in a short duration and minimize residual. This app can help industries with relevant KPIs, forecasting the batch cycle time and predicting the optimal range of process parameters.

 

Minimum requirement:

1) 16 GB RAM

2) 2 vCPUs

3) Compute specifications - Standard_E2a_v4

4) Instance count - 1

5) Engine type - V3

 

UnifyTwin can support the following protocols:

1) DNP

2) Modbus

3) DLMS

4) IEC 61850

5) IEC 60870-101/104

6) SNMP

7) IEEE2030.5

8) MQTT

9) OPCUA

 

Overview:

1)Data Filter on multiple levels

2) Data query using KQL

3. Batch Cycle time comparison

4. Quality Metrics Variation

5. Control Process Parameter Variation

6. Raw Material Utilization

7. Advanced Analytics

8. Real-Time Batch comparison with Ideal Batch