Conveyor Zone Cause Reporting for Non-Transport Diagnosis
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Solution Overview
Problem
Conventional abnormality detection devices for conveyor systems cannot detect all abnormalities, leading to unnecessary stops of the conveyor device even when no abnormality is present, requiring users to refer to manuals or help screens for troubleshooting which can be complex and require specialized knowledge.
Innovation Solution
A conveyor system with a cause information report device that includes a selection instruction receiving unit and a report processor. The report processor obtains information from local controllers in selected zones, identifies potential causes of non-transport, and reports cause information when specific determination conditions are met, allowing users to easily identify and address issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an abnormality detection device is used to detect abnormalities in the conveyor device, then the occurrence of abnormalities can be automatically detected and informed to the user, but the device cannot detect all abnormalities, leading to unnecessary stops
Solution Approach 1:
The system implements feedback by collecting clue information from multiple zones, analyzing it against determination conditions, and providing cause information reports back to the user. This closed-loop feedback mechanism enables the system to learn from operational data and improve its ability to distinguish between actual abnormalities and false stop conditions, thereby reducing unnecessary conveyor stops while maintaining reliable abnormality detection.
Solution Approach 2:
The cause information report device acts as an intermediary between the local controllers in various zones and the user. It collects clue information from multiple zones, processes this information through determination conditions, and provides interpreted cause information to the user. This intermediary function transforms raw operational data into meaningful diagnostic information, improving detection accuracy without causing unnecessary stops.
2Ease of operation
If a manual troubleshooting guide is provided for investigating causes of conveyor stops, then users can investigate potential causes, but the troubleshooting process requires specialized knowledge and is complex
Solution Approach 1:
The cause information report device enables self-service troubleshooting by automatically collecting clue information from various zones, analyzing it against predetermined determination conditions, and generating cause information reports without requiring user intervention in the analysis process. Users simply receive interpreted diagnostic information, eliminating the need for them to navigate complex troubleshooting procedures or possess specialized knowledge.
Solution Approach 2:
The system performs preliminary analysis actions by pre-setting determination conditions and automatically processing clue information before presenting it to the user. The cause information report device prepares diagnostic conclusions in advance based on collected data, so users receive ready-to-act upon cause information rather than raw data requiring their analysis, thereby simplifying the troubleshooting process.
3Measurement precision
If clue information is collected from local controllers to determine causes of non-transport, then accurate cause identification can be achieved, but the system complexity increases
Solution Approach 1:
The system segments the conveyor into multiple zones, each with its own local controller collecting clue information independently. The cause information report device then processes information from these segmented zones separately before synthesizing cause information reports. This segmentation allows precise cause identification at the zone level while maintaining manageable system complexity through modular information collection and processing.
Solution Approach 2:
The cause information report device performs multiple functions: it collects clue information from various zones, analyzes the information against determination conditions, generates cause information reports, and communicates results to users. By consolidating these diverse functions into a single multi-functional device, the system achieves precise cause identification without proportionally increasing overall system complexity.
Data Source
AI summary
Conveyer device including a local controller provided in each zone for controlling a transport operation of the zone, and host controller that reports information relating to a cause of non-transport are included. Host controller includes mouse and the like for receiving, from a user, a selection instruction through which one of a plurality of zones is selected, and report processor that obtains, as clue information, information relating to a phenomenon that can be the cause of the non-transport of a conveyed object, from local controller of the target zone, and reports cause information corresponding to information relating to the cause based on the clue information, when the clue information satisfies a determination condition previously set.