Digital Machine Manual, Drawing and Spare Identification System
Problem Overview
Machine manuals, electrical drawings and spare-part information are not always available through a single easily searchable source, making troubleshooting and spare identification slower. The challenge is to develop a digital machine knowledge system that organizes manuals and drawings and enables maintenance personnel to identify required spares, including through image-based search or drawing linkage where feasible.
Industrial Context & Background
Maintenance / Knowledge Management / Computer Vision / Digitalization
Technical Requirements
1) Machine-wise document structure
2) Electrical/mechanical drawing storage
3) Spare master with image/part number/specification
4) Search by machine, keyword and image where feasible
5) Revision control
6) Mobile/tablet-friendly access
Suggested Technology Stack: DMS; Database; OCR/Computer Vision; Image Similarity Search; Web/Mobile Application
Expected Solution & Prototype
1) Search/retrieval time for manuals, drawings and spares compared with current method
2) % selected machines with complete digital document sets
3) Spare identification accuracy for image-based pilot quantified
4) Drawing-to-spare linkage coverage measured
5) Revision-controlled documents available to authorized users
6) Reduction in time spent identifying spares demonstrated
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