
- Automation & Control - Programmable Logic Controllers (PLC)
- Functional Applications - Remote Monitoring & Control Systems
- Networks & Connectivity - Gateways
- Renewable Energy
- Process Manufacturing
- Machine Condition Monitoring
- System Integration
Sunforce was asked to develop a monitoring system for micro biomass power plants to reduce labor expenses and equipment failure rates while increasing power generation. They also wanted to perform scheduling and cascade control to create standard operating procedures to achieve remote monitoring and real-time management. In the future, they will combine artificial intelligence with gradually accumulated operational data to perform intelligent monitoring.
SunForce Technology Co.,
Sunforce Technologies is a Manufacturer’s Representative working with leading worldwide manufacturers of electronic Tests and Measurement and Embedded Products.
Sunforce Technologies offers consulting services to leading manufacturers of electronics test & measurement as well as embedded systems.
This monitoring system uses several Advantech solutions - ADAM-5560KW (a PAC),IPC-610 (an industrial computer), WebAccess/SCADA (a remote monitoring program), and Advantech cloud-based industrial IoT platform. This solution leveragesWebAccess/SCADA to support a number of drivers. This support enables this solution to collect data from Advantech's I/O devices and PAC, as well as any third-party PLC, I/O module, or controller. The operator currently uses Advantech's cloud platform to monitor micro biomass power plants.
The platform's high adaptability enables the simultaneous monitoring of multiple powerplants. In addition, it adapts to third-party software and can interface with environmental protection authorities, as well as export biomass electricity for sale to Taipower. The second phase of the monitoring system will focus on the application of intelligent features aimed at leveraging this solution's strengths. The WebAccess/SCADA Dashboard enables the selection and comparison of critical data points. This in turn allows monitoring system optimization.
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