Structure of the IoT System at the IPCM Center
1. Data Collection from Critical Equipment A network of precision industrial sensors continuously monitors the mechanical and operational conditions of equipment. The monitored components include two gas turbines, a steam turbine, generators, and auxiliary systems. Sensor Types:
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Vibration Sensors (Accelerometers, Proximity Probes): For analyzing imbalance, misalignment, looseness, impacts, and failures of rotating parts.
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Surface and Embedded Temperature Sensors(RTDs, Thermocouples): Installed on bearings, turbine casings, exhaust systems, and generators.
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Pressure and Flow Sensors:Monitoring the environment and fuel lines.
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Shaft Speed and Keyphasor Sensors:For phase calculations, identifying impacts, and conducting spectral analysis. Many of these sensors were installed by the project team, while some were integrated from the OEM turbines into the data network.
2. Data Transmission Infrastructure and Power Plant ConditionsData is transmitted via protocols like Modbus TCP/IP, OPC UA, and secure LAN networks to a central server. The data transmission infrastructure has been optimized to ensure stable connectivity, resistance to industrial noise, and network security, guaranteeing uninterrupted and error-free data transfer.
3. Data Storage, Processing, and Analysis After transmission, the data undergoes preprocessing (normalization, filtering, timestamping) at edge units and is then stored in a central database.
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Real-Time Analysisis conducted at the edge layer.
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Advanced AI/ML Analysisis performed at the central layer. Data is securely stored and analyzed via proprietary software, which also displays the results.