From Edge to Cloud: How Litmus Edge and InfluxDB Unlock Industrial Intelligence at Hannover Messe

Industrial environments face challenges in data collection, contextualization, and storage, often due to fragmented and siloed systems with varying protocols. Traditional solutions like historians have struggled to standardize and contextualize data across different systems and locations. Litmus Edge addresses these issues by acting as an intelligence layer, connecting to numerous industrial protocols and enriching data at the point of collection, transforming raw signals into meaningful, queryable events. InfluxDB 3 serves as the system of record, handling high-frequency telemetry and enabling real-time operations without compromising data resolution or incurring high costs. This architecture allows for consistent data collection and contextualization across sites, facilitating cross-site analysis and simplifying performance comparisons. Furthermore, InfluxDB integrates seamlessly with existing analytics, visualization, and AI/ML tools, providing an interoperable data layer. The architecture extends into the cloud with AWS, offering a pathway for centralized access and scalable analytics, leveraging services like AWS Lambda and SageMaker for advanced data processing. This setup is showcased at Hannover Messe, demonstrating the real-time flow of data from industrial systems into a cloud-scale analytics environment.

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