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Leaching rate prediction and optimization operation method in wet metallurgical leaching process

A technology for hydrometallurgy and operation optimization, applied in the direction of electrical program control, process efficiency improvement, comprehensive factory control, etc., can solve the problems of high energy consumption, rough production operation, long leaching time, etc., and achieve the effect of uniform temperature distribution

Inactive Publication Date: 2011-05-04
NORTHEASTERN UNIV LIAONING
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  • Description
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Problems solved by technology

The general production operation of the domestic leaching process is rough, the leaching time is long, and the energy consumption is large, which directly drags down the subsequent processes. Therefore, the Ministry of Science and Technology approved the establishment of a project to tackle key problems in the optimization technology of the hydrometallurgical leaching process, requiring the development of independent intellectual property rights. The advanced leaching process optimization control software system, and apply the research results to establish the leaching process automation production line in the demonstration base, and gradually promote the application in various hydrometallurgical factories, so as to promote the leapfrog development of my country's hydrometallurgical industry

Method used

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  • Leaching rate prediction and optimization operation method in wet metallurgical leaching process
  • Leaching rate prediction and optimization operation method in wet metallurgical leaching process
  • Leaching rate prediction and optimization operation method in wet metallurgical leaching process

Examples

Experimental program
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Effect test

Embodiment 1

[0154] Example 1: Prediction model of leaching rate of leaching tank 1#

[0155] 1. Independent variables and dependent variables of the prediction model: temperature of the leaching solution in the leaching tank (CAO_TEM, K), PH value of the leaching solution in the leaching tank (CAO_PH), SO 2 Traffic (CAO_SO 2 , ml / s), the incoming sulfuric acid flow (CAO_H 2 SO 4 , L / s), leaching time (TIME, s), leaching rate (JINCHULV, %).

[0156] 2. Data set: Two-month production data (independent variable and dependent variable) of the leaching tank of the leaching production line are collected. The online data is collected every 30 seconds, and there are 65 valid samples in the training set.

[0157] In practical applications, the process data comes from the field, and are inevitably affected by factors such as the accuracy, reliability of the measuring instrument and the on-site measurement environment, and inevitably have various measurement errors. The use of low-precision or i...

Embodiment 2

[0174] Example 2: On-line optimization of leaching tank 1#:

[0175] 1. Optimization objective variables and optimization independent variables: take the economic benefits of the leaching tank as the optimization objective, the leaching liquid temperature (CAO_TEM, K) and its loss (QT) in the leaching tank, the SO 2 Traffic (CAO_SO 2 , ml / s) and its loss (Qs), the incoming sulfuric acid flow (CAO_H 2 SO 4 , L / s) and its loss (Q1), stirring motor loss (Qd), leaching time (TIME, s), and leaching rate (y, %).

[0176] 2. Establish a production optimization model: collect the production data of the leaching tank of the leaching production line for two months, the online data is collected every 30 seconds, and the training set has 65 valid samples. The difference between the collected sensor measurement data and the above prediction results and the actual value is composed of input and output data pairs, and the data modeling method is called for training to obtain the parameter...

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Abstract

The invention relates to a leaching rate prediction and optimization operation method in the wet metallurgical leaching process. The method comprises the following steps: predicting a leaching rate by an established mixing model and giving optimization operation instructions, wherein an integrative dynamic mechanism model of the leaching process is established, and a material balance equation andan energy balance equation are gradually established in the leaching process on the basis of the ore-leaching dynamic principle of the integrative dynamic mechanism model. The device comprises a leaching rate prediction and optimization operation system in the leaching process, a host computer, a PLC and a field sensing transmitting part which comprises a pH value detecting instrument, a temperature detecting instrument, a flow detecting instrument, and the like. With the technical scheme, the leaching process can be greatly improved, the production can be constantly kept in an optimal state,the consumption of raw materials and energy sources is reduced, the operation period of equipment is prolonged and the relation change between supply and demand on markets can be reflected in time.

Description

technical field [0001] The invention belongs to the field of hydrometallurgy, and particularly provides an operation method for predicting and optimizing the leaching rate in a hydrometallurgical leaching process, namely a method for predicting the leaching rate, and designing the most reasonable operating conditions for the leaching process to reduce costs. Background technique [0002] With the gradual reduction of high-grade ores, the hydrometallurgical industry has begun to be highly valued by countries around the world. The general process flow of the whole process of hydrometallurgy is: ① ore raw material pretreatment (grinding); ② ore raw material leaching; ③ solid-liquid separation, solution purification, enrichment and separation (extraction); ④ recovery of compounds or metals from solution . [0003] The rapid development of hydrometallurgy technology is mainly due to its advantages in the following aspects: [0004] (1) It can process low-grade materials, includ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/418G05B13/04C22B3/08
CPCY02P10/20Y02P90/02
Inventor 何大阔毛志忠尤富强胡广浩张淑宁黄瑛
Owner NORTHEASTERN UNIV LIAONING
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