SCADA Solutions for Coal Ash Processing in Thermal Power Plants
📌 Project Overview
Datang Ningde Power Plant operates four coal-fired units (2×600MW + 2×660MW) with an annual fly coal ash processing capacity of 360,000 tons. The automation system ensures efficient solid waste utilization, producing Grade I/II fly ash. Key objectives include:
- 📡 Real-time monitoring for process optimization
- 🔒 Safety interlocks to prevent equipment failures
- 📊 Historical data traceability for quality control
🏗 Control System Architecture
The system utilizes Siemens PLCs for local control and Advantech industrial PCs with InTouch SCADA for visualization.
- 🌡 The system displays pressure and temperature parameters both locally and on DCS screens.
- 🔄 Redundant communication interfaces ensure seamless integration with plant-wide networks.
🎯 Core Functional Requirements
- 🖥 Local control panels provide pressure/temperature displays and allow operators to adjust setpoints.
- 📈 Historical temperature data is stored for quality audits and compliance.
- 🛢 Dual oil pumps in lubrication stations enable automatic fault switching, ensuring uninterrupted operation.
- 🚨 Differential pressure switches trigger alarms and mill shutdowns during abnormal conditions.
🛡 Safety and Interlocking Logic
- ⚠️ Oil pressure indicators & differential pressure alarms prevent equipment damage.
- 🔌 The PLC implements interlock trip logic, automatically halting operations during critical faults.
- 🌍 Remote communication interfaces support centralized monitoring via Modbus/TCP protocols.
🚀 Operational Advantages
- Real-time DCS visualization reduces manual inspections.
- Automated pump switching minimizes downtime and enhances reliability.
- Historical trend analysis supports predictive maintenance strategies.
- Standardized protocols simplify third-party system integration.
🔮 Future Scalability
📡 Modular design supports additional sensors or processing lines.
☁️ Cloud connectivity could enhance remote diagnostics and data analytics.
🤖 Machine learning algorithms may be implemented to optimize grinding efficiency in later phases.
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