Automation of UF/DF Biopharmaceutical Process
Budget: ₹600 – ₹1,500 INR
I am working in a biopharmaceutical manufacturing facility and want to automate part of our UF/DF (Ultrafiltration/Diafiltration) process to reduce manual control of the Watson-Marlow 520 peristaltic pump.
Currently, the process requires operators to manually adjust pump speed to maintain Transmembrane Pressure (TMP) within limits (typically ±0.3 bar). I want to build a real-time monitoring and control dashboard using Node-RED or similar open-source platforms that can:
• Read pressure, pH, and conductivity values from sensors via Arduino or Modbus.
• Calculate TMP in real time.
• Implement a PID control loop to automatically regulate pump speed via RS-485 (Modbus RTU).
• Display live data on a simple web dashboard (Node-RED UI) with graphs and alarms.
• Log data for analysis in CSV or database.
I can provide technical details of the pump model (Watson-Marlow 520) and the sensor configuration.
The freelancer should have experience in industrial automation, Node-RED, Modbus communication, or IoT-based process monitoring.
The goal is to create a cost-effective, reliable, and user-friendly control system suitable for laboratory-scale or pilot bioprocessing environments.
Currently, the process requires operators to manually adjust pump speed to maintain Transmembrane Pressure (TMP) within limits (typically ±0.3 bar). I want to build a real-time monitoring and control dashboard using Node-RED or similar open-source platforms that can:
• Read pressure, pH, and conductivity values from sensors via Arduino or Modbus.
• Calculate TMP in real time.
• Implement a PID control loop to automatically regulate pump speed via RS-485 (Modbus RTU).
• Display live data on a simple web dashboard (Node-RED UI) with graphs and alarms.
• Log data for analysis in CSV or database.
I can provide technical details of the pump model (Watson-Marlow 520) and the sensor configuration.
The freelancer should have experience in industrial automation, Node-RED, Modbus communication, or IoT-based process monitoring.
The goal is to create a cost-effective, reliable, and user-friendly control system suitable for laboratory-scale or pilot bioprocessing environments.