DCS Data Acquisition and Remote Monitoring Solution for Pharmaceutical Factories

In the production process of pharmaceutical factories, dosing equipment continuously adds and supplements various trace elements or catalysts to control the state of the fermentation broth.

 Therefore, precise control over the dosage is essential. A pharmaceutical factory plans to introduce a new fully automated dosing system composed of seed tanks, fermentation tanks, feeding tanks, tail gas alkali washing units, and other equipment. It is also equipped with sensors for pH, DO (Dissolved Oxygen), OD (Optical Density), foam, temperature, weight, pressure, and mass flow. These sensors are integrated into a DCS (Distributed Control System) for automated control.

In response, Wutongbolian offers a DCS data acquisition gateway-based IoT system solution for dosing equipment.

 By integrating the DCS data acquisition gateway into the DCS control system, real-time data on the dosage, timing, flow rate, temperature, and pressure of various agents can be collected. This data is then transmitted via 5G/4G networks to a cloud platform, enabling remote monitoring through mobile phones and computers. This ensures prompt detection and handling of abnormal faults, preventing accidents and economic losses.

Implemented Functions:

1. Real-time Monitoring and Alarming: Operators can intuitively understand the operational status and process parameters of the dosing equipment. When certain parameters exceed the preset safety range, the system automatically issues alarms, prompting operators to take timely measures.
2. Remote Operation and Maintenance: Through network connectivity, technicians can remotely operate and maintain the DCS system, performing remote diagnostics and troubleshooting, thereby reducing maintenance costs and improving efficiency.
3. Data Sharing and Integration: The system provides various data interfaces and API interfaces, facilitating integration with other enterprise management systems such as MES (Manufacturing Execution Systems) and ERP (Enterprise Resource Planning) systems, enabling data sharing and business process optimization.
4. Data Analysis and Optimization: By processing and analyzing the collected data, more scientific and rational dosing plans can be formulated, avoiding unreasonable production behaviors, optimizing resource allocation, and improving production efficiency and product quality.