Distributed Error Correction Architecture for Node Failure Recovery
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Solution Overview
Problem
Industrial systems face challenges in managing complex IoT devices and software-defined technologies due to heterogeneity, limited flexibility, and high costs, leading to slow and costly updates, and reluctance in adopting new technologies, which hinders the wide-scale deployment of IoT and software-defined technologies in industrial settings.
Innovation Solution
The implementation of a software-defined industrial system (SDIS) with dynamic configuration and re-configuration capabilities through resource abstraction, open architectures, and integrated security features, enabling flexible updates and integration of new technologies without shutting down the system, using peer-to-peer networks for redundancy and orchestration, and leveraging edge and cloud computing for real-time operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If incremental changes are attempted in industrial systems, then system updates become possible, but management complexity increases significantly
Solution Approach 1:
The system segments industrial applications into modular containers that can be independently deployed, updated, and managed. Each container encapsulates specific functionality, allowing incremental changes without affecting the entire system. This modular architecture reduces management complexity by enabling targeted updates rather than system-wide changes.
Solution Approach 2:
The patent implements a universal container orchestration platform that can manage diverse industrial applications across different hardware platforms. The standardized container interface provides multi-functional capabilities for deployment, monitoring, and updates, reducing the need for platform-specific management procedures and thereby decreasing overall management complexity.
2Adaptability or versatility
If new technologies are adopted in industrial systems, then system capabilities improve, but reliability becomes unproven
Solution Approach 1:
The system implements redundancy mechanisms where critical industrial applications are deployed in multiple container instances across different physical hosts. This beforehand cushioning ensures that if a new technology component fails, backup instances can take over, maintaining system reliability while allowing adoption of new technologies.
Solution Approach 2:
The containerization approach creates portable, copyable application packages that can be replicated across multiple hosts. These copies ensure continuity of operation and provide failover capabilities, allowing reliable deployment of new technologies through verification on replicated instances before full production adoption.
3Adaptability or versatility
If IoT devices are physically heterogeneous, then device versatility increases, but device management becomes complex
Solution Approach 1:
The patent introduces container runtimes and orchestration platforms as intermediary layers between heterogeneous IoT devices and the management system. These intermediaries standardize device interfaces and communication protocols, allowing diverse physical devices to be managed through unified software commands, thereby simplifying device management while preserving hardware versatility.
Solution Approach 2:
The containerization approach creates a homogeneous software environment that runs across heterogeneous hardware platforms. By standardizing the execution environment through containers, the system achieves operational homogeneity despite physical device diversity, making management easier while maintaining the ability to support various device types.
4Productivity
If software is updated in statically configured systems, then system improvements are achieved, but system shutdown is required
Solution Approach 1:
The system implements dynamic container deployment and updating mechanisms that allow software changes without shutting down the industrial control system. Containers can be started, stopped, updated, and replaced while the underlying host system continues to operate, enabling continuous production and eliminating downtime associated with software updates.
Solution Approach 2:
The orchestration platform performs preliminary actions by preparing container updates in advance and deploying them to standby hosts before switching active services. This preliminary provisioning allows seamless updates where the new container instance is ready to take over immediately, preventing any interruption to system operation.
Data Source
AI summary
Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.