Cloud Analytics Gateway for Industrial Deviation Detection

The patent introduces a cloud gateway as an intermediary component that bridges the industrial automation system and the cloud-based analytics platform. This gateway handles data collection, preprocessing, and transmission to the cloud, while also receiving and relaying analytics results back to the industrial system. By placing this intermediary layer, the complexity of direct cloud integration is reduced, allowing the industrial automation system to maintain its existing architecture while still benefiting from advanced cloud analytics capabilities.

The patent segments the data collection and analysis process into distributed components across multiple industrial devices and a centralized cloud platform. Each industrial device independently collects and pre-processes its own data locally, performing initial filtering and aggregation before transmission to the cloud. This segmentation reduces the volume of data that needs to be transmitted in real-time, thereby reducing network bandwidth requirements and transmission time while maintaining comprehensive deviation detection capability through the combined analysis of distributed data sources.

The patent implements a selective data collection strategy that gathers only the most relevant industrial automation data for analytics purposes. Rather than collecting and storing all possible data from industrial devices, the system prioritizes collecting data that is most likely to provide actionable insights for deviation detection and performance optimization. This partial action approach maintains high analytics accuracy by focusing on critical data elements while significantly reducing the overall data storage volume and processing load on the cloud infrastructure.