Dynamic Voting Configuration for Industrial Automation Safety
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Solution Overview
Problem
Conventional industrial automation systems lack the ability to visually represent and dynamically adjust safety and availability metrics based on configured redundancy, relying on fixed voting schemes that do not account for specific industrial automation environments or real-time events.
Innovation Solution
An optimization component generates a voting configuration that allocates available redundancy to optimize safety and availability levels, which can be visualized through a graphical user interface, allowing for customization and dynamic adjustment based on input data from industrial automation devices and real-time events, mitigating common mode failures and enabling fault tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed voting schemes are used in conventional industrial automation systems, then safety and availability are provided through redundancy, but the systems lack the ability to visually represent and dynamically adjust safety and availability metrics based on specific industrial automation environments or real-time events
Solution Approach 1:
The system dynamically adjusts voting configurations based on real-time events and environmental conditions. The optimization component continuously monitors system state and modifies redundancy allocation to balance safety and availability requirements, transforming static fixed voting schemes into adaptive dynamic configurations that respond to changing operational contexts
Solution Approach 2:
The graphical user interface uses visual representations with different colors and graphical indicators to display safety and availability levels. This visual encoding makes complex metrics easily observable and understandable, allowing operators to quickly assess system state without interpreting raw data, thereby reducing the perceived complexity while enhancing adaptability
2Loss of information
If conventional fixed voting schemes are used, then redundancy is provided, but users cannot visually observe levels of safety and availability associated with a particular voting relationship
Solution Approach 1:
The system replaces physical inspection methods with electronic visualization through a graphical user interface. The optimization component generates visual representations of safety and availability metrics by processing data from industrial automation devices, substituting manual assessment with automated graphical display that makes invisible metrics observable and understandable
Solution Approach 2:
The graphical user interface acts as an intermediary between the complex voting configuration system and human operators. It translates raw voting data and safety metrics into intuitive visual formats, bridging the gap between complex system operations and human comprehension without requiring operators to directly interact with complex configuration parameters
3Adaptability or versatility
If redundancy is configured to provide safety and availability, then fault tolerance is achieved, but the system cannot be customized to specific industrial automation environments or dynamically adjusted based on real-time events
Solution Approach 1:
The optimization component implements continuous feedback loops by monitoring real-time events from industrial automation devices and adjusting voting configurations accordingly. This feedback mechanism ensures that redundancy allocation remains optimized for current operational conditions while maintaining consistent safety and availability through automated adjustment rather than manual reconfiguration
Solution Approach 2:
The system performs preliminary configuration of voting schemes during system design and setup, pre-establishing multiple voting configurations that can be selected based on different operational modes. This preliminary action allows the system to be customized for specific industrial automation environments before deployment, while real-time event detection enables dynamic switching between pre-configured schemes to maintain reliability
Data Source
AI summary
The claimed subject matter provides industrial automation systems and/or methods that visualize availability and safety levels. An optimization component can generate a voting configuration that provides an optimized combination of a safety level and an availability level based upon available redundancy. Additionally, a graphical user interface can present a visualization of the safety level and the availability level.


