MOI extracts products, dimensions, tolerances, materials, and technical requirements from drawings, maps them into enterprise templates, and preserves human-review boundaries.
Zhongding traces back to the Ningguo Sealing Parts Factory founded in 1980 and became China's first listed sealing-components company in 2006, making automotive rubber and sealing parts, hydraulic and pneumatic seals and rubber-plastic components for global OEMs.
Writing one work instruction means reading product data, dimensions, tolerances, materials and technical requirements off the drawing item by item, then transcribing them into the company's inspection document template.
The work is highly repetitive and dense with information at the same time: a tolerance callout, a material code, a surface treatment requirement — any one of them copied wrong propagates straight into what the shop floor actually inspects.
Format and level of detail also drift with whoever writes the document, so the instructions reaching production are not uniform — which is precisely what a quality management system requires them to be. And when a drawing is revised, there is no reliable way to trace which instructions need updating.
Work instruction generation reuses the same drawing knowledge base that powers image search — one governed set of drawing assets serving both scenarios. This is the point of building the foundation first in an AI Factory: the second use case does not need a second data pipeline.
The end-to-end flow has five stages: structured extraction of drawing elements, matching against process and inspection rules, instruction generation, human review, and versioned archiving. MOI reads the product, dimensions, tolerances, materials and technical requirements from the drawing, matches them against inspection standards, work specifications and historical instructions, and maps the result onto the company template as a draft.
One design boundary matters: where a field cannot be determined, the system does not guess. It marks the field as pending and leaves it for a person. Better a blank than an invention — on a quality document, a fabricated tolerance is far more dangerous than an empty box.
After review the document is exported as a conforming DOCX, with its version correspondence to the source drawing preserved.
Process inspection work instructions are generated from the approved drawing in the required format, replacing document-by-document manual transcription and cutting preparation time substantially.
Format and level of detail are standardized, so what reaches the shop floor no longer varies with the author.
Pending fields are surfaced explicitly, so human review concentrates on what the system has said it is unsure about rather than re-reading the whole document.
Drawings and instructions stay version-linked, making it traceable which documents a design change requires updating.
Two scenarios sharing one drawing knowledge base also validates the core AI Factory premise: once the foundation is in place, scenarios grow out of it rather than being built one at a time from scratch.