Iron ore flotation concentrate grade soft measurement method and system based on case-based reasoning

Abstract

The invention provides an iron ore flotation concentrate grade soft measurement method and system based on case-based reasoning. The method comprises the following steps: extracting historical production data from the iron ore flotation production process; constructing a flotation case library; carrying out case retrieval in the flotation case library to obtain a group of similarity values; ranking the similarity values from large to small, and selecting case descriptions corresponding to the front n similarity values as reference cases of the current working condition; calculating weighted average value of case solutions of the n reference cases, and carrying out case reuse to obtain new case solutions; carrying out case retrieval to find the case description having the maximum similarity value; and if the maximum similarity value is larger than a similarity threshold value, abandoning a new flotation case, or otherwise, replacing the case description having the maximum similarity value by the new flotation case. The iron ore flotation concentrate grade soft measurement method and system give flotation concentrate grade measured values under different working conditions by means of measurable production data related to iron ore flotation concentrate grade, and can improve security, reliability and economy of iron ore flotation production.

Description

technical field [0001] The invention belongs to the technical field of soft measurement, and in particular relates to a soft measurement method and system for iron ore flotation concentrate grade based on case reasoning. Background technique [0002] In the flotation production process, the concentrate grade is a key process index that characterizes the product quality and production efficiency of the iron ore flotation process. At present, most of the detection methods of concentrate grade rely on manual off-line laboratory detection. This method will cause a serious lag in the data. When the working conditions change, the corresponding adjustment strategy cannot be made in time, which may cause useful Components are not fully sorted or flotation agents are excessive, resulting in low flotation efficiency and waste of resources. A small number of iron ore concentrators use grade analyzers to detect concentrate grades online, but grade analyzers are expensive and require hi...

AI Technical Summary

Problems solved by technology

At present, most of the detection methods of concentrate grade rely on manual off-line laboratory detection. This method will cause a serious lag in the data. When the working conditions change, the corresponding adjustment strategy cannot be made in time, which may cause useful Components are not fully sorted or flotation agents are excessive, resulting in low flotation efficiency and waste of resources

A small number of iron ore concentrators use grade analyzers to detect concentrate grades online, but grade analyzers are expensive and require high maintenance costs, which increase the cost of beneficiation

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