MeiTeng’s 15th mobile XRT in Tibet: reliability lessons for high-altitude mines
Reviewed by Tom Sullivan

First reported on International Mining – News
30 Second Briefing
MeiTeng’s 15th wheel-mounted mobile XRT ore sorting system has completed 24 months of continuous operation at the Zhalixikang lead-zinc polymetallic mine in Longzi County, Tibet, working at an altitude of nearly 4,800 m since its 2024 commissioning. The unit has just finished sorting at one mining face and is being relocated to the next, showing that containerised, trailer-based XRT plants can maintain stable performance under extreme elevation, low-oxygen conditions and frequent moves between faces.
Technical Brief
- Wheel-mounted configuration allows rapid relocation between working faces without fixed civils or foundations.
- Containerised XRT modules likely integrate crusher, feeder, sorter and conveyors on a single trailerised train.
- Operation at ~4,800 m implies derated diesel and cooling performance, demanding conservative power sizing.
- Low-oxygen, low-pressure conditions increase heat load on X-ray tubes and electronics, stressing thermal management design.
- Trailer-based plant reduces ore rehandling distances, cutting haulage fuel burn and face stockpile requirements.
- Such high-altitude deployments inform derating factors and maintenance intervals for future mobile XRT fleets in plateau terrains.
Our Take
MeiTeng’s XRT rollout at the Zhalixikang lead-zinc polymetallic mine in Tibet mirrors its March 2026 deployment of five XRT systems for Tajik-China Mining Co’s lead-zinc operations in Tajikistan, suggesting the company is standardising a lead/zinc-focused ore-sorting offering across high-altitude and remote sites.
Across our 1305 Mining stories, lead and zinc appear far less frequently than iron ore, copper or gold, so repeated coverage of MeiTeng’s lead-zinc projects in Tibet and Tajikistan signals that ore sorting is becoming a key lever for marginal polymetallic operations rather than just coal preparation plants.
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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