IOy Edge I/O for Wastewater Treatment Plant Monitoring System
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IOy Edge I/O for Wastewater Treatment Plant Monitoring System

A wastewater treatment plant use IOy Edge IO Modules to upgrade its outdated equipment monitoring system to enable real-time monitoring and remote control of flow rate and valve status.
IOy Edge I/O for Wastewater Treatment Plant Monitoring System
Case Details

A municipal wastewater treatment plant needed to upgrade its outdated equipment monitoring system to enable real-time monitoring and remote control of key parameters such as flow rate and valve status. The goal was to improve operational efficiency and reduce manual inspection costs.

System Architecture

  1. Field Layer: BL190 Modbus TCP Edge I/O Module as the core controller
  2. Network Layer: BL190 connected to the plant's Ethernet industrial ring network
  3. Control Center: SCADA system (supporting Modbus TCP)

Hardware Configuration

  • Host Model: BL190
  • Expansion I/O Boards:

  1. Y31 (4-channel 4-20mA input module) for pH sensors
  2. Y13 (8-channel dry contact input module) for valve status monitoring
  3. Y22 (8-channel NPN output module) for valve control
  4. Y61 (4× RS485 module) for connecting multiple flow meters

System Features

  1. Real-Time Monitoring
  2. Remote Control
  3. Alarm Management
  4. Data Logging

System Advantages

  • High Reliability:

  1. BL190 operates in -40°C to 85°C, suitable for humid environments
  2. 2KVrms isolation protection against electromagnetic interference

  • Flexible Expansion:

  1. 3 additional expansion slots for future sensors (turbidity, dissolved oxygen, etc.)
  2. Remote firmware updates via BLRAT tool

  • Easy Maintenance:

  1. Built-in web server for quick diagnostics
  2. Modular design for fast replacement of faulty components

  • Cost Efficiency:

  1. 30% lower hardware cost compared to traditional PLC solutions
  2. 50% reduction in field wiring effort

Thanks to BL190's edge computing capabilities, critical control logic runs locally, ensuring continuous operation even during network disruptions. This significantly improves system availability and safety.

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