Neural IoT Edge Architecture for Legacy PLC Replacement
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Solution Overview
Problem
Legacy programmable logic controllers (PLCs) in industrial environments face challenges such as spare part unavailability, proprietary programming issues, and skill loss, making replacement and maintenance costly and time-consuming, especially with the transition to Industry 4.0.
Innovation Solution
A distributed neural Internet of Things (IoT) edge architecture that integrates IoT devices as digital interfaces and neural nodes, forming an artificial neural network to learn and replicate PLC behavior, allowing for seamless replacement and integration into Industry 4.0 systems without additional wiring, enabling autonomous configuration and fail-safe operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If legacy PLCs are replaced with new PLCs, then system reliability is improved, but replacement cost and downtime increase due to proprietary programming and lack of spare parts
Solution Approach 1:
The patent creates a digital twin of the legacy PLC by having the new PLC learn and replicate the behavior, I/O states, and control logic of the aging PLC through monitoring and emulation, enabling replacement without proprietary programming knowledge
Solution Approach 2:
The new PLC is configured and trained to replicate legacy PLC behavior before the actual replacement occurs, allowing for seamless switchover and minimizing downtime by having the replacement system ready in advance
2Device complexity
If a single PLC is used to control all I/O, then device complexity is reduced, but processing capacity and adaptability are limited
Solution Approach 1:
The patent divides the control system into multiple distributed PLCs, each responsible for specific I/O groups or functional areas, allowing parallel processing and improved adaptability while maintaining manageable complexity through modular architecture
Solution Approach 2:
Each PLC in the distributed system is designed to be multi-functional, capable of handling various I/O types and control tasks, enabling flexible reconfiguration and scaling of the control system as needs change
3Ease of operation
If additional wiring infrastructure is installed for new PLCs, then I/O connectivity is improved, but installation complexity and cost increase
Solution Approach 1:
The patent introduces communication modules and protocols as intermediaries between PLCs and I/O devices, enabling digital communication over existing infrastructure and eliminating the need for additional physical wiring while maintaining connectivity
4Adaptability or versatility
If loT devices are integrated in series with existing ICS, then scalability is improved, but device complexity increases
Solution Approach 1:
The system is segmented into independent, modular loT devices that can be individually added or removed from the control system, each handling specific sensing or actuation functions, enabling scalable expansion without increasing overall system complexity
Solution Approach 2:
The loT devices are designed with autonomous configuration and self-integration capabilities, automatically registering with the control system and configuring their parameters without requiring complex manual setup, thereby reducing the complexity burden of scalability
Data Source
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AI summary
Proposed is a connecting system with a connection and configuration of a device between an industrial control system (ICS) and each sensor and actuator in a plant or a machine, in which loT devices are connected between the ICS and each sensor and actuater, at the physical locations of each sensor and actuator in the plant or machine.