OT Edge Container Orchestration for Low-Latency Data Analysis
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Solution Overview
Problem
Industrial control systems face challenges in optimizing the control of industrial devices due to communication latencies in data collection and processing within operational technology (OT) networks, which hinder efficient data analysis and resource utilization.
Innovation Solution
A container orchestration system is deployed within the OT network to collect and analyze data from OT devices, with containers being positioned strategically based on data characteristics and frequency to minimize latency and maximize computational resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is collected and processed through centralized control systems in OT networks, then data analysis capability is improved, but communication latency increases
Solution Approach 1:
The patent deploys containerized data processing functions to edge devices located physically close to OT devices, creating local processing capabilities that reduce communication latency while maintaining analysis quality. Different locations in the network have different processing capabilities tailored to their specific needs.
Solution Approach 2:
The patent introduces a new spatial dimension for data processing by moving from centralized cloud processing to distributed edge processing across multiple network locations. This dimensional shift in processing architecture simultaneously improves both analysis capability and reduces latency.
2Productivity
If more computational resources are allocated to data processing, then data processing efficiency is improved, but resource utilization optimization becomes more challenging
Solution Approach 1:
The patent creates universal containerized processing units that can be deployed across multiple edge devices, each performing the same data processing functions. These multi-functional containers can adapt to different processing needs at various network locations, simplifying resource management while maintaining high processing efficiency.
Solution Approach 2:
The patent replicates containerized processing functions across multiple edge devices throughout the network. Instead of optimizing a single centralized resource, identical processing capabilities are copied to multiple locations, distributing computational load and simplifying resource utilization through redundancy.
Data Source
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AI summary
A non-transitory computer-readable medium stores instructions that, when executed by a processor, cause the processor to receive, via the processor, a characteristic of data to be collected from an operational technology (OT) device disposed within an OT network associated with an industrial automation system configured to perform an industrial automation process, determine, via the processor, that the characteristic exceeds a threshold value, and deploy, via the processor, in response to determining that the characteristic exceeds the threshold value, a container to a compute surface within the OT network that is disposed within a threshold distance of the OT device. The container is configured to receive the data from the OT device and process the received data.