Multi-Asset Automation Interface for Cycle Correlation Analysis
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Solution Overview
Problem
Existing systems for displaying automation data from automated equipment struggle to visualize interactions between multiple assets and cycles, making it difficult to identify efficiency improvements and reduce facility downtime.
Innovation Solution
A system and method for dynamically displaying automation data on a computing device, allowing real-time monitoring and analysis of multiple automated assets and cycles using an Automation Operating System (AOS), with features like zooming, panning, and multiple display templates to facilitate comparison and identification of improvement opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If automation data is displayed for a single asset or one cycle only, then the display is simple and focused, but interactions between assets cannot be identified and variations between cycles are not visually apparent
Solution Approach 1:
The display system divides automation data into separate displayable units for different assets and cycles, allowing selective presentation of multiple segments simultaneously. This enables the display to show interactions between assets and variations between cycles without overwhelming complexity by organizing data into manageable, structured segments that can be displayed together or individually based on user needs.
Solution Approach 2:
The system adds temporal and comparative dimensions to the display by showing multiple cycles and assets simultaneously across different time periods. This multi-dimensional approach allows users to visualize cycle variations and asset interactions by presenting data across multiple dimensions (different assets, different cycles, different time periods) rather than a single flat view.
2Loss of information
If multiple assets and cycles are displayed simultaneously, then interactions and variations can be identified, but the display becomes complex and difficult to analyze
Solution Approach 1:
The display system applies local quality by allowing different portions of the display to show different levels of detail and different types of information simultaneously. Users can focus on specific assets or cycles with detailed views while maintaining an overview of other elements, enabling easy analysis of interactions and variations without being overwhelmed by uniform complexity across the entire display.
Solution Approach 2:
The system implements dynamic display capabilities that allow users to adjust the level of detail, zoom in on specific assets or cycles, and reconfigure the display based on analytical needs. This dynamic adaptability makes data analysis easier by allowing users to optimize the display configuration for their current focus, whether examining detailed interactions between specific assets or comparing cycle variations across multiple time periods.
3Measurement precision
If detailed information is provided for each asset and cycle, then comprehensive analysis is possible, but the quantity of data increases making monitoring less efficient
Solution Approach 1:
The display system serves multiple functions simultaneously by providing both high-level overview capabilities and detailed analysis functions within a unified interface. Users can efficiently monitor multiple assets and cycles at a glance while maintaining the ability to access precise detailed information when needed, achieving both monitoring efficiency and analytical precision through a multi-functional display system that adapts to different user needs.
Solution Approach 2:
The system creates simplified visual representations or copies of complex automation data that maintain the essential information needed for precise analysis while reducing the visual complexity. By generating condensed views, summaries, and comparative displays that replicate key data patterns, the system enables comprehensive analysis without presenting the full raw data volume, thereby maintaining measurement precision while improving monitoring efficiency.
Data Source
AI summary
A system and method for displaying a combination of automation data collected from one or more assets and analog data collected from a system or element related to the assets can be simultaneously displayed on the display screen in a plurality of concurrently displayed cycle displays. In response to a user input to the display screen, the data display is dynamically manipulated to display varying numbers of operating cycles of the assets and the associated analog data collected in real time with the performance of the operating cycles, such that patterns and/or correlations between the analog data and automation data over a displayed timeline can be viewed and analyzed. The automation data is visually differentiated to indicate a condition state of the operating cycle and assets in real time.