Case Study: a large Class I railroad improves hot box monitoring with CloudMoyo’s Azure and Power BI solution

a large Class I railroad reduces inspection frequency with CloudMoyo's Azure hot box analytics

The customer, a large Class I railroad, faced significant safety risks and potential operational disruptions due to malfunctions in its Hot Box Detectors (HBDs). The challenge was to proactively identify issues before these detectors failed and stopped trains. The vendor, CloudMoyo, was engaged to address this priority.

CloudMoyo implemented a solution leveraging a modern cloud data architecture built on Azure Data Lake and Azure SQL Data Warehouse. They utilized Azure Stream Analytics, Microsoft Power Flow, and Power BI to create an advanced warning system. As a result, CloudMoyo helped the railroad reduce the frequency of inspections and achieve a more accurate warning system, enhancing both safety and operational efficiency.