Remote Logic Control Unit for Malfunction Report Completeness
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Solution Overview
Problem
Current support service management systems for machines and plants, such as those used for machining wooden pieces, face inefficiencies in decoding malfunction reports due to incomplete or unclear data entry, leading to increased time and resource expenditure and potential production delays.
Innovation Solution
A system with a remote logic control unit and connected remote device featuring an AI-driven data processing program that calculates ranking values for the completeness and intelligibility of user-input data, providing real-time feedback and suggested terminology to improve report accuracy, and allowing for editable cards with predefined categories and real-time translation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually fill in malfunction reports with incomplete or unclear data, then the system can capture basic fault information, but the assistance service requires more time and resources to decode the reports
Solution Approach 1:
The system performs preliminary action by automatically extracting and pre-filling malfunction data from machine logs, sensor readings, and diagnostic records before the user submits the report. This preliminary data preparation reduces the user's input burden and ensures completeness while the assistance service receives structured, ready-to-process information, eliminating the time-consuming manual decoding process.
Solution Approach 2:
The system enables self-service by allowing the malfunction report to be automatically generated and populated based on machine state data without requiring user interpretation or manual encoding. The system serves itself by transforming raw machine data into structured fault reports, freeing the assistance service from the tedious task of decoding user-provided information.
2Loss of information
If users manually fill in malfunction reports, then the system can capture fault information, but the assistance service expenditure of time and resources increases
Solution Approach 1:
The system replaces the mechanical manual data entry and decoding process with an automated information extraction system. Instead of relying on users to manually fill forms and assistance services to manually decode text, the system uses automated software to extract fault data from machine systems, transforming a manual labor-intensive process into an automated computational one that consumes minimal human resources.
Solution Approach 2:
The system performs self-service by automatically generating structured fault reports from machine data without human intervention in the data collection and processing stages. The system serves both the user by providing automatic report generation and the assistance service by delivering pre-processed, ready-to-analyze fault information, eliminating resource expenditure on manual decoding.
3Reliability
If users fail to resolve malfunction quickly, then the machine can remain operational, but production delays occur
Solution Approach 1:
The system implements real-time feedback by continuously monitoring machine parameters and automatically generating malfunction reports as soon as faults are detected. This immediate feedback mechanism alerts the assistance service without delay, enabling rapid response and resolution. The automated feedback loop eliminates the time lag between fault occurrence and report submission, keeping machines operational and minimizing production delays.
Solution Approach 2:
The system takes preliminary action by automatically detecting and reporting malfunctions at the moment they occur, before they can cause production delays. The automated detection and immediate report generation ensure that assistance services are notified instantly, enabling quick resolution while the machine remains operational and production continues uninterrupted.
Data Source
Figure 1~2
AI summary
The present invention relates to a support service management system (S) of machine and/or plants for working workpieces made of wood, glass, fiberglass, plastic, ceramic, metal, comprising at least one remote logic control unit (U) comprising storage means, comprising a plurality of updatable operating data of said machine and/or plants as editable cards (OIF), and processing means of said data, at least one remote device (D1), operatively connected with said at least one remote logic control unit (U), comprising displaying and interface means that can be used by a user to input data in at least one editable card (OIF), wherein said processing means of said remote logic control unit (U) receive in input said at least one editable card (OIF); said processing means comprise a processing data program (BAI) that, on the basis of the amount of data input in said at least one editable card (OIF), send signals that can be displayed by said user on said displaying means of said at least one remote device (D1) for continuing or stopping the data input in said at least one editable card (OIF). The present invention also relates to an operation method of said system.