Hybrid intelligence soft measuring method of overflow granularity index in wet grinding process

A soft measurement and particle size technology, applied in the direction of measuring devices, particle size analysis, particle and sedimentation analysis, etc.

Active Publication Date: 2011-08-31
NORTHEASTERN UNIV
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0003] In order to solve the shortcomings of the existing wet grinding process overflow particle size measurement method, the present invention provides a mixed intelligent soft measurement method for the overflow particle size index of the wet grinding process based on case reasoning and neural network, through the assistance provided by conventional online measuring instruments Variable measurement parameters, giving an estimate of the current hydrocyclone overflow particle size, providing key indicators for the optimal operation and optimal operation of the grinding production process

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  • Hybrid intelligence soft measuring method of overflow granularity index in wet grinding process
  • Hybrid intelligence soft measuring method of overflow granularity index in wet grinding process
  • Hybrid intelligence soft measuring method of overflow granularity index in wet grinding process

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Embodiment Construction

[0116] Taking the grinding and classification section of a hematite dressing plant as an implementation case, the specific process of the grinding process of the dressing production is as follows figure 1 As shown, wherein, the solid line arrow represents the logistics (raw ore, water and pulp), and the dotted line represents the signal flow,

[0117] Hydrocyclone feeding pressure——P G

[0118] Hydrocyclone feeding flow rate——L G

[0119] Hydrocyclone feeding concentration——D G

[0120] Hydrocyclone overflow concentration——D O

[0121] Hydrocyclone overflow concentration——D O

[0122] Auxiliary variable information set for soft sensor model - O C

[0123] Granularity Estimation for Case-Based Reasoning Soft-Sensor Models - S 1

[0124] Granularity Estimation for Neural Network Soft-Sensor Models——S 2

[0125] The actual test value of grinding particle size——S 3

[0126] (final) soft measure of grinding particle size - S E

[0127] Confidence Factors for Granu...

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Abstract

The invention, which belongs to the technical field of automatic measurement, provides a hybrid intelligence soft measuring method of overflow granularity index in a wet grinding process. A hybrid intelligence soft measuring device for overflow granularity index in the wet grinding process includes a ball grinder, a hydraulic cyclone, a pump well, an underflow pump, a valve, a flow meter, a densimeter, a pressure meter, a belt of the grinder for feeding, a water pipe line for feeding, a feed pipe of the hydraulic cyclone, an overflow pipe, a data acquisition unit and a computer. The hybrid intelligence soft measuring method includes the steps of: (1) choosing of auxiliary variables; (2) obtaining of sampled data; (3) soft measuring of grinding granularity index based on case inference; (4) soft measuring of the grinding granularity index based on neural net; (5) solving of certainty factor based on case inference; (6) final solving of the grinding granularity index based on expert rule inference. By the method in the invention, the grinding granularity index can be estimated according to real-time data in a normal grinding process. The granularity index measuring method is the granularity measuring means having the advantages of small relative error, high credibility, high practical value and low cost.

Description

technical field [0001] The invention belongs to the technical field of automatic measurement, and in particular relates to a mixed intelligent soft measurement method for overflow particle size indicators in a wet grinding process. Background technique [0002] In the mineral processing industry, the wet grinding process consisting of ball mills and hydrocyclones is widely used to grind ore to the particle size range required by the mineral processing process. Too large or too small particles will have adverse effects on subsequent separation operations. , so the hydrocyclone overflow particle size (also called grinding particle size, overflow particle size) is an important indicator to measure the operation quality of the grinding process. At present, there are two conventional detection methods for grinding particle size: one is manual sampling and offline testing, and manual measurement in the laboratory; the other is using particle size detection equipment - particle siz...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N15/02G06N3/02
Inventor 周平岳恒柴天佑
Owner NORTHEASTERN UNIV
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