IIoT Multi-Cloud Event Hierarchy for Coordinated Device Control
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Solution Overview
Problem
Existing IIoT technologies face challenges in effectively managing and automating control between different aspects of multi-cloud environments, requiring synchronous and asynchronous event coordination, as well as monitoring and adjusting for socio-economic and environmental impacts across clouds during manufacturing events.
Innovation Solution
An IIoT control framework is developed, utilizing a cloud event identification and publishing manager, heterogeneous multi-cloud event controls and selection engine, socio-environment and economic factorization unit, and cloud governance model manager to generate and distribute action plans based on dynamic multi-cloud events, socio-economic, and environmental factors, ensuring coordinated management across multiple clouds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-cloud environment is used to manage IIoT devices and resources, then the ability to utilize and monitor multiple IIoT devices from different manufacturers and locations is improved, but the complexity of managing and coordinating events across different clouds increases
Solution Approach 1:
The patent introduces an event hierarchy structure with event bridges as intermediaries that connect different cloud environments. The event bridge receives events from source clouds, translates them into a standardized format, and publishes them to target clouds, thereby mediating the complexity of multi-cloud coordination while maintaining the ability to utilize diverse IIoT devices across multiple clouds.
Solution Approach 2:
The patent segments the multi-cloud event management system into distinct hierarchical levels: source cloud events, event bridge translation layer, and target cloud publication layer. This segmentation allows each component to handle specific tasks independently, reducing the overall complexity of managing IIoT devices across multiple clouds while preserving adaptability.
2Reliability
If synchronous and asynchronous event coordination is implemented, then the coordination capability among IIoT devices is improved, but the complexity of event management and control increases
Solution Approach 1:
The patent implements a dynamic event hierarchy structure where the event bridge can adaptively handle both synchronous and asynchronous events based on the requirements of the overall event. The system dynamically determines the appropriate event type and coordination mechanism, allowing flexible coordination capability while managing complexity through adaptive behavior rather than rigid predefined structures.
Solution Approach 2:
The event bridge is designed as a universal component that can handle multiple types of events (synchronous, asynchronous, nested events) through a standardized translation and publication mechanism. This multi-functionality allows the system to achieve reliable coordination across different event types without requiring separate specialized systems for each event type, thereby managing complexity effectively.
3Productivity
If socio-economic and environmental factors are monitored and adjusted, then the ability to make informed manufacturing decisions is improved, but the complexity of factor analysis and control derivation increases
Solution Approach 1:
The patent establishes predefined relationships between socio-economic and environmental factors and event types in advance. The system maintains a knowledge base of factor-event associations that are prepared beforehand, allowing the event bridge to quickly derive appropriate controls by matching observed factors against pre-established relationships, thereby improving decision-making capability while reducing the real-time complexity of factor analysis.
4Reliability
If event data is generated and distributed across multi-cloud environment, then the synchronization and coordination of IIoT devices is improved, but the data management and distribution complexity increases
Solution Approach 1:
The event bridge serves as an intermediary data management layer that standardizes event data formats and manages distribution across multiple clouds. By centralizing the translation and publication functions in the event bridge, the system achieves reliable synchronization and coordination of IIoT devices while reducing data management complexity through a unified intermediary approach rather than direct peer-to-peer data exchange between clouds.
Data Source
AI summary
Methods, non-transitory computer readable media, and Industrial Internet-of-Things (IIoT) management apparatuses that generate event data based on an overall event comprising a plurality of dynamic multi-cloud events. Each of the events is associated with at least one of a plurality of types of IIoT resource devices or a plurality of IIoT participant devices. A current overall event hierarchy of the events is established, derived, or introduced based on one of a plurality of predefined hierarchies. A relationship between one or more socio environment and economic factors and each of the events is identified. One or more controls for each of the events are derived based on the identified relationship. Action plan data is generated for an execution in a multi-cloud environment based on the events, the derived controls, and a profiled participant role associated with one or more of the participant devices. The action plan data is distributed in the environment.