Multi-Terminal AI Control Switching for Abnormality Prevention

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Solution Overview

Problem

Existing control systems using artificial intelligence do not effectively manage abnormalities across multiple control systems, leading to potential failures and reduced reliability.

Innovation Solution

A control system comprising a first control unit using artificial intelligence, a second control unit using a different method (such as PID control), and a control switching unit that switches from artificial intelligence to the alternative control when an abnormality occurs in another terminal, ensuring stable operation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If control using artificial intelligence is implemented in multiple terminals, then productivity and control performance are improved, but the risk of system-wide abnormalities increases when one terminal fails

Engineering Contradiction:
Improvecontrol performanceVSAvoidsystem stability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system divides control into multiple independent terminals, each capable of autonomous operation. When one terminal experiences an abnormality, the other terminals remain unaffected and continue normal operations, thus segmenting the failure impact and maintaining overall system productivity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The control switching unit is pre-configured to automatically detect abnormalities and switch between terminals before complete system failure occurs. This preliminary action prevents abnormality propagation by preparing switching mechanisms in advance, ensuring rapid response when issues arise.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If automatic switching between control methods is implemented, then reliability is improved, but device complexity increases

Engineering Contradiction:
Improveabnormality preventionVSAvoidcontrol system structure
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

Each terminal is designed with multi-functionality, incorporating both artificial intelligence-based control and alternative control methods within the same terminal. The control switching unit can select between these functions based on operational status, reducing the need for separate dedicated backup systems and thereby limiting complexity increase.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The control switching unit continuously monitors the operational status of terminals and automatically switches control methods based on feedback signals. This closed-loop feedback mechanism enables reliable automatic switching without requiring complex manual intervention systems, as the switching decision is driven by real-time status information.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11604440B2Control switching device for abnormality prevention in multiple terminals
Publication Date: 2023.03.14 HITACHI LTD
  • US11604440B2 patent drawing
  • US11604440B2 patent drawing
  • US11604440B2 patent drawing

AI summary

There is provided a control device that prevents the occurrence of an abnormality in control using artificial intelligence in the case where an abnormality occurs in another terminal that performs the control using the artificial intelligence. A control means (a first control unit) performs the control using artificial intelligence. The control means (second control unit) performs control different from the artificial intelligence. A control switching unit (a switching determination means, a switch) is configured to, when another terminal having the control means (the first control unit) is normal, cause the own control means (the first control unit) to perform the control using artificial intelligence, and when an abnormality occurs in another terminal having the control means (the first control unit), cause the control means (the second control unit) to perform the control different from artificial intelligence.