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IRONSCAN 1500

IRONSCAN 1500 is an economical on-line iron ore quality monitoring system which is easily installed directly under production conveyor belts.

Real time iron ore quality data provides active process control, with timely information on ore quality to make decisions that maximise the value of the resource and minimise operating costs.

The system does not contain any nucleonic sources and therefore does not require site to obtain a radiation license for its use.

The analyser uses the natural gamma radiation (K, U, Th) signature of the material and known correlations with the composition to derive ore quality information. It is applicable to sedimentary iron ores such as Marra Mamba type, but not BIFs.

Typical applications include:

  • Monitor run of mine iron ore quality against expected quality;
  • Detect misdirected truckloads, e.g. waste entering the ore stream;
  • Redirect (bulk ore sort) conveyed increments of material, e.g. product quality bypasses processing; waste diverted and discarded;
  • Monitor run of mine feed to a beneficiation plant;
  • Monitor product iron ore.

 

Case study: An IRONSCAN 1500 saved a whole shift of production from being out of specification at an iron ore mine when a driver thought he was hauling ore. IRONSCAN 1500 detected a truckload of waste on the conveyor after primary crusher. This was immediately detected and haulage operations rectified. Payback on analyser achieved from one event.

 

"Accurate online measurement information and diagnostics show how the machines and the plant are working; a single piece of data can make or break the process"

Kari Heikkilä, Metso, Minerals Processing and Aggregate Production, 2013

Conferences

AISTech 2024 – Columbus, USA 07/05/2024

Meet Henry Kurth and Ryan Khoo at the Scantech Booth (#1302).. Read More

CIM 2024 Conference & Expo – Vancouver, Canada 12/05/2024

Meet Henry Kurth and Ryan Khoo at the Scantech Booth (#500) at the Expo.. Read More

World Congress on Sampling and Blending – Johannesburg, South Africa 21/05/2024

Meet George Ndoh Tabi from Scantech at the conference.. Read More

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