Siemens Energy Standardizes Predictive Maintenance Operations on InfluxDB
Siemens Energy has standardized its predictive maintenance operations on InfluxDB, a time series database by InfluxData. The global energy leader uses InfluxDB to optimize data collection and analysis across its energy storage operations, allowing it to gather high-frequency, high-resolution sensor data in real-time for advanced monitoring and control systems. Siemens Energy's adoption of commercial InfluxDB has enabled the company to scale its data operations significantly, managing 700 high-volume write requests and 800 real-time queries per minute across research and development labs and production cells.
Company
InfluxData
Date published
Sept. 26, 2024
Author(s)
Company
Word count
747
Hacker News points
None found.
Language
English