Meiteng ZhiMei Master AI for coal processing: control and retrofit notes for engineers
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
Meiteng’s ZhiMei Master large AI model for coal preparation was showcased at a CCPUA technical exchange in Jincheng on 24–25 April 2026, hosted with Jinneng Holding Equipment Manufacturing Group. Built on domain data from dense medium separation, flotation and dewatering circuits, the model targets intelligent control of product ash, yield and reagent dosage across complex coal washing plants. For process engineers, the move signals rapid deployment of plant-level AI optimisation in China’s large state-owned coal operations, with implications for retrofitting existing preparation facilities.
Technical Brief
- For other coal processors, key implication is AI retrofits that sit above current instrumentation without major civils or mechanical changes.
Our Take
Jincheng’s role as the locus for this April 2026 technical exchange suggests Shanxi-based coal equipment makers such as Jinneng Holding Equipment Manufacturing Group are trying to anchor AI development close to China’s traditional coal heartland, which can ease deployment into existing preparation plants and training of local operators.
Because this is tagged both Projects and Product in our coverage, ZhiMei Master is likely being framed not just as a one-off digital initiative but as a commercialisable platform that OEMs and coal processors across China could bolt onto brownfield plants, with implications for retrofitting rather than greenfield-only adoption.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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