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A hardness detection method in the production process of ore crushing

A production process and ore crushing technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as affecting the crushing process productivity, inability to detect ore hardness, and poor crushing effect, achieving considerable economic value and practicality. effect of value

Active Publication Date: 2019-02-05
ANSTEEL GRP MINING CO LTD
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Problems solved by technology

A good crushing process parameter setting largely depends on the hardness of the ore. Generally speaking, the greater the hardness of the ore, the smaller the production capacity of the equipment, and the amount of ore should be reduced accordingly, otherwise it will cause poor crushing effect and cyclic load. increase
In addition, the crushing effect of the crusher will not only affect the capacity of the crushing process, but also affect the efficiency of downstream grinding production
At present, the crushing link of ore dressing production cannot detect the hardness of the ore, but the workers judge the nature of the ore through experience, which is highly dependent on the experience level of the workers.

Method used

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  • A hardness detection method in the production process of ore crushing
  • A hardness detection method in the production process of ore crushing
  • A hardness detection method in the production process of ore crushing

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Embodiment Construction

[0052] An embodiment of the present invention will be further described below in conjunction with the accompanying drawings.

[0053] In the embodiment of the present invention, the hardness detection method in the ore crushing production process, the method flow chart is as follows figure 1 shown, including the following steps:

[0054] Step 1. Collect historical data of the crusher, including current, power, liner wear thickness and corresponding ore hardness, and construct a training set L r and the test set L e ;

[0055] In the embodiment of the present invention, the current, power, and liner thickness wear data of the crusher are extracted from the integrated management and control system at a frequency of 30 minutes and dumped to the database. Associating these data into a training set L r and the test set L e ;

[0056] In the embodiment of the present invention, L r ={(x i ,z i ), i=1, 2, ..., r}, L e ={(x i ,z i ), i=1, 2,..., e} represent the training s...

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Abstract

The invention provides a hardness detection method in the ore crushing process, and belongs to the field of crushing technology in ore production. A fuzzy neural network is constructed to describe current and power of a crusher as well as the relation between thickness wearing of a liner plate and the ore hardness, the ore hardness is detected via real-time data, ore hardness information is provided for onsite production, disadvantages in adjusting technical parameters according to experience by workers are overcome, production of high efficiency and quality is realized, and the method has high economical and practical values; and the method can be popularized to product design in other industries.

Description

technical field [0001] The invention relates to a production crushing process in the ore dressing production process, in particular to a hardness detection method in the ore crushing production process. Background technique [0002] Ore hardness is one of the important indicators in mineral processing production, which directly affects the entire mineral processing production, especially the crushing and grinding links, so the measurement of ore hardness is particularly important. A good crushing process parameter setting largely depends on the hardness of the ore. Generally speaking, the greater the hardness of the ore, the smaller the production capacity of the equipment, and the amount of ore should be reduced accordingly, otherwise it will cause poor crushing effect and cyclic load. increase. In addition, the crushing effect of the crusher will not only affect the capacity of the crushing process, but also affect the efficiency of downstream grinding production. At pre...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/08G06K9/62
CPCG06N3/08G16Z99/00
Inventor 王欢徐聪张军孙为平解凯肖成勇
Owner ANSTEEL GRP MINING CO LTD
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