Realizing Digital Management in Smart Sugar Refineries through Industrial IoT

In traditional sugar refineries, the production process is cumbersome and inefficient, relying heavily on manual monitoring and intervention.

 This not only consumes significant manpower and resources but also leads to operational errors, affecting product quality and causing economic losses. However, in smart sugar refineries, these issues are mitigated and improved through the implementation of Industrial IoT technology, enabling digital management of the production process.

Solution

The automated production lines in sugar refining industries include equipment such as crushers, heating pans, mixers, separators, and dryers.

 By integrating WideIOT's industrial smart gateways into the PLCs of various automated devices, data on temperature, pressure, liquid level, voltage, and current can be collected and uploaded to a cloud platform. This facilitates remote monitoring and data analysis of equipment status, process parameters, alarm data, and maintenance work orders, enabling timely management and control to maintain a safe and stable production environment.

System Functionalities

1. Real-time Data Collection: Through the real-time collection of production data from various stages of the sugar refinery, including raw material data, production data, product quality, equipment operational status, and process parameters, fundamental data support is provided for digital management.

2. Data Analysis and Optimization: Utilizing big data analytics technology, the collected data is analyzed and processed in real-time to uncover valuable insights, providing decision support for production optimization, cost control, and quality enhancement.

3. Remote Monitoring and Control: Through intelligent terminals such as smartphones and computers, remote real-time monitoring and control of the sugar refinery's production process are achieved.

    This allows for viewing equipment information and performing remote start/stop controls to ensure safe production.

4. Equipment Health Management: Through real-time monitoring of equipment operational status and intelligent alarms, automatic fault notifications are implemented, enabling predictive maintenance.

    This effectively reduces equipment failure rates and minimizes downtime losses.

5. Energy Management and Optimization: Through real-time collection and visual analysis of energy data such as water, electricity, gas, and heat, rational allocation and optimization of energy resources are achieved, reducing energy costs and improving energy utilization efficiency.

6. System Integration and Collaboration: By integrating various systems within the smart sugar refinery, data sharing and collaborative work among systems such as MES and ERP are achieved, optimizing resource allocation and enhancing overall operational efficiency.