Automated sampling, also known as automatic or mechanical sampling, is a process where a representative sample of bulk material (such as coal, grains, minerals, or other raw materials) is taken automatically and at regular intervals or continuously without the need for human intervention.
This process is used in various industries, including mining, agriculture, food processing, pharmaceuticals, and more, to enable accurate analysis of material quality, composition, contaminants, etc. Sampling can take place on a conveyor belt, in a pipeline, in a silo, or at another point in the production process.
Automated sampling systems are designed to minimize variance and statistical inaccuracies that are often associated with manual sampling. They can also be programmed to apply different sampling strategies, such as random, systematic, stratified, or cluster-based sampling, depending on the specific requirements of the project or industry.
These systems contribute to improving workplace safety as they reduce the risk of injuries from direct contact with the material or machinery. Additionally, they enable faster, more efficient, and reliable data collection and analysis, leading to better product quality, process optimization, and cost savings.