PLC Changeover Detection via Stoppage-Restart Metric Analysis

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Solution Overview

Problem

In manufacturing systems, the siloed management of IT and manufacturing fields prevents engineers from receiving notifications of change-over events when product types change, as PLC settings and metrics differ, and there is a need to detect these changes automatically.

Innovation Solution

A method and system that detect a stoppage and restart of PLCs within a threshold period, retrieve metrics before and after the event, extract features, and transmit a notification to an asset management server if the feature differences exceed a threshold, indicating a changeover.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manual monitoring of PLC settings is used to detect change-over events, then engineers can identify product type changes, but the management of manufacturing field and IT server remains siloed and notification is delayed

Engineering Contradiction:
Improvechange-over notificationVSAvoidautomatic detection
Core Design Contradiction:
Loss of informationVSEase of operation

Solution Approach 1:

The system implements automated feedback by continuously monitoring PLC metrics and automatically generating change-over notifications when predefined conditions are met, eliminating the need for manual monitoring and ensuring timely information delivery to IT server engineers

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system enables self-service by allowing the manufacturing field to automatically detect and report its own change-over events through automated PLC monitoring and notification mechanisms, without requiring external manual intervention from engineers

Inventive Principle:
Principle #25Self-service

2Adaptability or versatility

If PLC settings are changed frequently to accommodate different product types, then production flexibility is improved, but the complexity of tracking and managing metric changes increases

Engineering Contradiction:
Improveproduct type change capabilityVSAvoidchange-over detection system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system leverages parameter changes in PLC metrics as indicators of change-over events, automatically detecting when metric values change beyond predefined thresholds to identify product type transitions, thereby managing complexity through structured parameter monitoring

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system achieves universality by creating a standardized change-over detection mechanism that can monitor multiple different PLC metrics and product types through a single unified notification system, reducing overall system complexity despite frequent product type changes

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

3Loss of time

If automated change-over detection is implemented by monitoring PLC metrics, then notification timeliness is improved, but the requirement for continuous data retrieval and analysis increases system resource consumption

Engineering Contradiction:
Improvenotification delayVSAvoiddata processing resources
Core Design Contradiction:
Loss of timeVSUse of energy by moving object

Solution Approach 1:

The system employs periodic action by retrieving PLC metrics at scheduled intervals rather than continuously, and uses threshold-based triggering to initiate notifications only when change-over conditions are detected, thereby reducing unnecessary data processing and resource consumption while maintaining timely detection

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS11435715B2System and method for detecting change over in manufacturing field
Publication Date: 2022.09.06 HITACHI LTD
  • US11435715B2 patent drawing
  • US11435715B2 patent drawing
  • US11435715B2 patent drawing

AI summary

Example implementations described herein are directed to a change over detection system and method. Such example implementations facilitate updating the information of the production line in an Internet of Things (IoT) system to the latest version. Through the example implementations described herein, device rearrangement in manufacturing field can thereby be detected.