Replacement Component Provisioning via Distributed Peer Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for provisioning replacement components in industrial automation systems are error-prone, time-consuming, and vulnerable to compatibility issues due to manual intervention and centralized data deployment.
Innovation Solution
A decentralized approach where industrial automation systems store provisioning data in a distributed manner among components, enabling peer-to-peer communication for automatic data transfer to replacement components upon failure, reducing operator interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual provisioning methods are used, then operator control is maintained, but the process becomes error-prone and time-consuming
Solution Approach 1:
The replacement component autonomously provisions itself by detecting its own installation and automatically obtaining provisioning data from peer components or distributed storage, eliminating the need for manual operator intervention and engineering tools
Solution Approach 2:
Provisioning data is pre-stored in multiple peer components and distributed storage locations before replacement is needed, so that when a component fails and is replaced, the provisioning data is already available for immediate automatic retrieval and application
2Device complexity
If centralized server deployment is used, then data management is simplified, but compatibility issues and single points of failure increase
Solution Approach 1:
The centralized provisioning server is segmented into multiple distributed peer components, each storing copies of provisioning data. This distributes the data management function across multiple nodes, eliminating the single point of failure while maintaining data availability
Solution Approach 2:
Each peer component stores provisioning data locally rather than relying on a centralized server. This local storage capability ensures that provisioning data is available even if other components fail, improving system reliability while maintaining manageable complexity through standardized local storage formats
3Ease of operation
If manual provisioning methods are used, then flexibility is maintained, but error rates increase
Solution Approach 1:
The system automatically detects component replacement and retrieves provisioning data without manual intervention, eliminating human errors while maintaining the flexibility to adapt to different replacement scenarios through automated decision logic
Solution Approach 2:
The system continuously monitors component status and automatically triggers provisioning processes when replacement is detected. This feedback mechanism ensures that provisioning actions are taken only when necessary and appropriate, reducing errors while maintaining operational flexibility
Data Source
AI summary
A method for decentralised provisioning of a replacement component in an industrial automation system comprising detecting that a failed component of the industrial automation system has been replaced with the replacement component; obtaining provisioning data for the replacement component from at least one pre-provisioned component of the industrial automation system, wherein the industrial automation system stores provisioning data for its components in a distributed manner among those components themselves; and provisioning the replacement component using the obtained provisioning data.