Cloud Analytics Gateway for Industrial Automation Performance Deviations
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Solution Overview
Problem
Industrial automation systems lack effective methods for real-time data analysis and correlation to enhance operational performance, leading to inefficiencies and potential deviations from optimal performance.
Innovation Solution
A cloud-based analytics system that collects and analyzes data from industrial automation systems, determining correlations between system components, extrinsic events, and employee performance to provide recommendations and notifications for improving system performance and preventing deviations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud-based data collection and analysis is implemented, then operational efficiency and performance insight are improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent introduces a cloud gateway as an intermediary component that bridges the industrial automation system and the cloud platform. This gateway handles data collection, preprocessing, and transmission, thereby reducing the direct complexity burden on the core automation system while enabling access to advanced cloud-based analytics capabilities for improving operational efficiency
Solution Approach 2:
The patent converts the potential harm of increased system complexity into a benefit by demonstrating that the added cloud infrastructure enables sophisticated data analysis, correlation detection, and predictive capabilities that ultimately improve productivity and operational performance beyond what simpler systems can achieve
2Productivity
If real-time data analysis is performed, then performance optimization is improved, but data processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by performing data preprocessing, filtering, and aggregation at the edge devices and cloud gateway before transmitting to the analytics platform. This preparation work is done in advance to reduce the computational burden during real-time analysis, enabling faster performance optimization without excessive processing delays
Solution Approach 2:
The patent segments the data analysis process into multiple stages: data collection at edge devices, preliminary processing at the cloud gateway, and advanced analytics in the cloud. This segmentation allows different types of processing to occur in parallel at appropriate locations, reducing overall data processing time while maintaining comprehensive analysis capabilities
Data Source
AI summary
A cloud-based analytics engine that analyzes data relating to an industrial automation system(s) to facilitate enhancing operation of the industrial automation system(s) is presented. The analytics engine can interface with the industrial automation system(s) via a cloud gateway(s) and can analyze industrial-related data obtained from the industrial automation system(s). The analytics engine can determine correlations between respective portions or aspects of the system(s), between a portion(s) or aspect(s) of the system(s) and extrinsic events or conditions, or between an employee(s) and the system(s). The analytics engine can determine and provide recommendations or instructions in connection with the industrial automation system(s) to enhance system performance based on the determined correlations. The analytics engine also can determine when there is a deviation or potential of deviation from desired system performance by an industrial asset or employee, and provide a notification, a recommendation, or an instruction to rectify or avoid the deviation.