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Real-time data analysis optimizes cooling, while Mendix’s interface empowers users to design and control
Real-time data analysis optimizes cooling, while Mendix’s interface empowers users to design and control
applications without heavy coding.
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Abstract
In this case study, we will explore how PROLIM, a leading technology consulting and solutions provider, collaborated with a Commercial Chiller Manufacturer to implement a sophisticated IoT (Internet of Things) solution for monitoring and alerting using Amazon Web Services (AWS) and Mendix. The project aimed to analyze over 250 data points from chiller sensors, generate real-time alerts, and provide comprehensive dashboard visibility to enhance operational efficiency. This case study outlines the scope of work, the technical approach taken, and the successful outcomes achieved.
What you get from this case study
Achieved Outcomes:
- Real-time Monitoring: The solution enables real-time monitoring of chiller performance through a user-friendly dashboard.
- Alert Generation: Alerts are generated in real-time based on predefined rules, facilitating immediate corrective actions.
- Data Analysis: Historical data stored in AWS Timestream allows for in-depth analysis and trend identification.
- Data Security: Role-based access control ensures that only authorized personnel can access sensitive operational data.
- Scalability: The architecture is designed to scale with growing data volume, ensuring continuous performance.
- Seamless Integration: The integration of AWS services with Mendix ensures smooth data flow and a seamless user experience.
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