A Prediction Method for Probability Distribution of Ore Particle Shape, Quality and Density Indexes
A technology of probability distribution and particle shape, applied in prediction, data processing applications, instruments, etc., can solve the problems of increasing the probability distribution law of ore particle property indicators, material and time costs, large sample collection, and large particle detection workload.
Active Publication Date: 2022-07-05
FUZHOU UNIV
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Problems solved by technology
For any specific ore input, if the routine method of randomly sampling from the ore heap and checking the probability distribution of the sample particle shape, quality, and density indicators is used, there will be the following two problems: First, the amount of sample collection large, which leads to a large workload of particle detection, which increases the material and time costs of obtaining the probability distribution of ore particle property indicators; second, the obtained results only reflect the specific probability distribution of particle shape, quality, density and other indicators, which is difficult to obtain. Further extract information from these rules that can reflect the nature of the ore and whether the processing process has changed
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[0056] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0057] Please refer to figure 1 The invention provides a prediction device for the probability distribution of ore particle shape, quality and density index, including a vibrating feeder, a belt conveyor, a three-dimensional laser scanner or an image recognition camera; the three-dimensional laser scanner or image recognition camera It is arranged above the conveyor; the belt conveyor has a built-in weighing device.
[0058] The present embodiment provides a method for predicting the probability distribution of ore particle shape, quality and density index, including the following steps;
[0059] Step S1: adopt the ratio of adjacent sieve apertures to be or The standard sieving sieves are used to sieve the full-grained ore particles;
[0060] Step S2: select 2 to 3 or more narrow grades (the ratio of the upper and lower limits of particle size) from...
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The invention relates to a method for predicting the probability distribution of ore particle shape, quality and density index. Particle samples; detect the shape index of each narrow particle sample; weigh the mass of each single particle of ore and obtain the density of each single particle based on the ratio of particle mass to volume; calculate each shape, mass and density The mean and standard deviation of the data set of property indicators; the data sets of shape indicators such as length, width, height, volume, area, aspect ratio, and circularity of particles adopt the maximum extreme value distribution, normal distribution, and Weibull distribution, respectively. , lognormal distribution, lognormal distribution, Weibull distribution and Weibull distribution to describe its probability distribution density; the data sets of particle quality and density indicators use lognormal distribution and Logistic distribution to describe its probability distribution density.
Description
technical field [0001] The invention relates to the field of ore index prediction, in particular to a method for predicting the probability distribution of ore particle shape, quality and density index. Background technique [0002] In mining production, properties such as shape, mass and density of incoming ore particles affect the efficiency of mineral processing processes such as heap leaching, handling, grinding, gravity separation and flotation. Accurate detection of incoming ore properties, including particle shape, mass, density, etc., is one of the prerequisites for intelligent mineral processing. However, as a typical heterogeneous feed, the shape, quality and density of each ore particle are different from other ore particles. For any specific ore input, if the conventional practice of randomly sampling from the ore heap and checking the probability distribution law of the sample particle shape, quality and density index, there will be the following two problems: ...
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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02
CPCG06Q10/04G06Q10/06393G06Q50/02Y02P90/30
Inventor 左蔚然刘帅郭宝郭静怡
Owner FUZHOU UNIV