Development of a Web Application for BESS Condition Monitoring Using MERN Stack
zhang, Lilong (2025)
zhang, Lilong
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025060621041
https://urn.fi/URN:NBN:fi:amk-2025060621041
Tiivistelmä
This thesis addresses the intelligent condition monitoring (CM) needs of Battery Energy Storage Systems (BESS) through the design and implementation of a web application platform with MERN (MongoDB, Express.js, React, and Node.js). Using the BESS project deployed by Hyperstrong and their client in Finland as a case study, the platform leverages existing Supervisory Control and Data Acquisition (SCADA) system data and draws on the interface logic of the HyperCloud system to develop a web application for maintenance personnel.
Built on the MERN technology stack, the system integrates both HTTP and WebSocket communication protocols to collect real-time data, running data, and alarm data, including voltage, current, power, State of Charge (SOC), State of Health (SOH) and alarm events, supports efficient data refresh and visualization. Leveraging these parameters alongside diagnostic strategies, the system automatically generates the device's operational status and presents it directly on the front-end interface. Besides, alarm notifications by email are significantly improved to enhance operational safety.
The web application optimizes maintenance workflows, increases system uptime and maintenance efficiency, and provides a scalable technical foundation for remote intelligent troubleshooting and predictive maintenance.
Built on the MERN technology stack, the system integrates both HTTP and WebSocket communication protocols to collect real-time data, running data, and alarm data, including voltage, current, power, State of Charge (SOC), State of Health (SOH) and alarm events, supports efficient data refresh and visualization. Leveraging these parameters alongside diagnostic strategies, the system automatically generates the device's operational status and presents it directly on the front-end interface. Besides, alarm notifications by email are significantly improved to enhance operational safety.
The web application optimizes maintenance workflows, increases system uptime and maintenance efficiency, and provides a scalable technical foundation for remote intelligent troubleshooting and predictive maintenance.