CN-116400652-B - Zinc powder automatic control method, device and system in antimony salt purification process

CN116400652BCN 116400652 BCN116400652 BCN 116400652BCN-116400652-B

Abstract

The invention discloses a zinc powder automatic control method, device and system for an antimony salt purification process, which comprises the steps of constructing a copper and cobalt removal fitting model, calculating and setting an optimal potential setting value by adopting a particle swarm algorithm, updating the potential setting value by adopting a fuzzy algorithm and a case reasoning method, constructing a three-dimensional fuzzy rule according to the difference value between a potential measuring value and the potential setting value at the current moment, generating a zinc powder adjustment quantity and adding the current zinc powder addition quantity to obtain a new zinc powder quantity setting value, writing the new zinc powder quantity setting value into a DCS (distributed control system) on line, and controlling an automatic feeding device to add zinc powder. With this circulation, the potential stability control is achieved, and the minimum zinc powder consumption is realized. The zinc powder automatic control method for the antimony salt purification process capable of automatically adjusting the zinc powder addition according to the potential fluctuation realizes the accurate control of the zinc powder addition, effectively reduces the zinc powder unit consumption in zinc hydrometallurgy, and reduces the production cost in the antimony salt purification process.

Inventors

ZHANG YUNHUI
KONG PENG
DU YA
YANG CHUNHUA
HOU FENG
SUN BEI
XIAO LIANGZHEN
LIU SHENGYU
QU HUAQING
ZHANG XULONG
CHEN CHUNLIN

Assignees

云南驰宏资源综合利用有限公司
中南大学

Dates

Publication Date: 20260508
Application Date: 20230327

Claims (9)

1. The zinc powder automatic control method for the antimony salt purification process is characterized by comprising a group of purification tanks, an automatic feeding device and a potentiometer, wherein the purification tanks are sequentially arranged and communicated through pipelines, the automatic feeding device is arranged above the purification tanks, the potentiometer is arranged in the purification tanks and used for acquiring a potential real-time value, the automatic feeding device is controlled by a DCS (distributed control system), the reading of the potentiometer is directly transmitted to the DCS, and the zinc powder automatic control method comprises the following steps: acquiring parameters of the purifying tank at regular time to acquire an operation log, wherein the parameters comprise the concentration of cobalt ions and copper ions in the solution at the inlet of the purifying tank and the outlet of the last purifying tank and the potential in the purifying tank; constructing a cobalt-removing fitting model, fitting the operation log through an artificial neural network to generate a data model between the potential and the copper-cobalt ion concentration under different parameter conditions; If the reaction working condition is normal, calculating the difference between the cobalt ion outlet concentration of the last purifying tank and a set threshold value by collecting the cobalt ion outlet concentration of the last purifying tank, generating a potential compensation value by adopting a fuzzy algorithm, adding the potential compensation value with an original potential set value, and updating the potential set value; if the reaction condition is changed greatly, a case-based reasoning method is adopted, zinc powder addition and potential real-time values are used as input features of cases, inlet cobalt ion concentration and copper ion concentration are used as solution features of the cases, a case base of a cobalt removal process is constructed, similarity between a current case and each case in the base is calculated by using a similarity function, the solution features of the current case are deduced, a cobalt removal fitting model is used for generating a new potential set value, the original potential set value is compensated according to the new potential set value, and the potential set value is updated; Constructing a three-dimensional fuzzy rule according to the difference between the current real-time potential value and the potential set value to generate zinc powder adjustment quantity and adding the current zinc powder addition quantity to obtain a new zinc powder quantity set value; Writing the new zinc powder quantity set value into a DCS system on line, and controlling an automatic feeding device to add zinc powder according to the new zinc powder quantity; with this circulation, the potential stability control is achieved, and the minimum zinc powder consumption is realized.
2. The zinc powder automatic control method for the antimony salt purifying process according to claim 1, wherein the group of purifying tanks is 3 purifying tanks.
3. The method for automatically controlling zinc powder in an antimony salt purification process according to claim 2, wherein the method for obtaining the potential set value comprises the following steps: S1, periodically collecting parameters of each purifying tank to obtain an operation log, wherein the parameters comprise the concentration of cobalt ions and copper ions in solution at the inlet of the purifying tank and the outlet of the last purifying tank and the potential in the purifying tank; s2, fitting the relation between the inlet copper and cobalt ion concentration, the flow and the oxidation-reduction potential of the purifying tank and the outlet copper and cobalt ion concentration of the purifying tank by using an artificial neural network to obtain the relation between the potential and the copper and cobalt removal effect under different inlet conditions, wherein the functional relation is shown in the formula 1: Wherein, the 、 And 、 Indicating the concentrations of cobalt and copper ions, respectively, entering and exiting the purification tank, ORP indicates the potential in the purification tank, Representing the established purification tank reaction model; S3, calculating an optimal potential set value by using a particle swarm algorithm based on a data model, wherein the particle position is a combination of potential set values of the purifying tank, an adaptive value function of the algorithm is designed to be the product of the sum of ORP of the purifying tank and a penalty coefficient, and a calculation formula is shown as follows: Wherein, the Is the location where the particle is located and, Is the magnitude of the adaptation value calculated from the particle position, The original score of the particle position is calculated as follows: Wherein, the Is the potential set value of each purifying tank; S4, introducing punishment coefficients The calculation formula is as follows: Wherein, the The cobalt ion outlet concentration of the last purifying tank is as follows When the threshold value is exceeded, it is indicated that the set of potential values cannot meet the cobalt removal requirement, Will utilize the established purge tank reaction model ; S5, utilizing a formula And repeatedly iterating to obtain the inlet and outlet ion concentrations of each purifying tank under the set potential values.
4. The method for automatically controlling zinc powder in the antimony salt purification process according to claim 2, wherein the method for obtaining the potential compensation value comprises the following steps: S1, generating a potential compensation value by adopting a fuzzy rule, wherein the formula is as follows: Wherein, the The generated potential adjustment amount of the purifying tank is added with the current potential set value to obtain a new set value, Representing a blurring function and, Representing the difference between the actual cobalt ion outlet concentration and the set threshold; S2, if the reaction working condition is normal, acquiring a difference value between the actual cobalt ion outlet concentration calculation of the last purifying tank and a set threshold value, generating a potential compensation value and adding an original potential set value by adopting a fuzzy algorithm, and updating the potential set value; If the reaction condition is changed greatly, the potential setting value is reset by using a case-based reasoning method, and the specific method comprises the following steps: taking the zinc powder addition amount and potential real-time value of all purifying tanks as the input characteristics of cases, taking the concentration of cobalt ions and copper ions as the solution characteristics of the cases, adopting test data to construct a case library of the cobalt removal process, wherein each case in the case library is characterized by the condition characteristics De-characterization The composition comprises, in which, Represents the zinc powder addition amount of 3 purifying tanks, Representing the potential of the 3 purge tanks, The concentration of cobalt ion and copper ion representing the two-stage purification inlet defines the cases in the case library Is described as Solution characteristics are described as Defining the current case working condition Is characterized in that: Defining current case characteristics And features in a case library The similarity function of (2) is: Wherein, the Representation of The first of (3) The number of elements to be added to the composition, Representing the weighting coefficients of the different elements, where all Equal to 1, equivalent to averaging, calculate each case in the case base And the current case The similarity between the two is the highest The cases are used as similar cases, and the solution characteristics of the current case are deduced according to the similar cases: Wherein, the Represent the first The similarity of the individual similar cases to the current case, Is the first The solution characteristics of the similar cases are deduced Thereafter, the formula is used Recalculating the potential setting value; compensating the original set value according to the new set value to obtain a new potential set value: Wherein the coefficient is Determining the degree of updating the potential set point by a factor Equal to 1, using the newly generated set point.
5. The method for automatically controlling zinc powder in the antimony salt purification process according to claim 2, wherein the method for controlling potential stability comprises the following steps: constructing a three-dimensional fuzzy rule, stabilizing the potential by using a fuzzy control method, wherein three dimensions of the fuzzy rule are a difference value between an actual value and a set value, a first derivative of the difference value and a second derivative of the difference value respectively, and the three dimensions of the fuzzy rule have the following calculation formulas: Wherein, the And Respectively represents the potential measured value and the set value at the current moment, Representing the difference between the measured value and the set value at the current time, Is a first order derivative of the current time difference, Is a second derivative of the derivative, The effect of (a) is to narrow the difference between the measured value and the actual value, Zinc powder is added regularly, zinc powder is reduced if negative, The larger the absolute value of (c) is, the larger the adjustment amplitude of zinc powder is, The function of (2) is to restrain the variation trend of ORP, make the variation course smooth, not generate big fluctuation, Is characterized by the action of (a) Similarly, by predicting future change trend of ORP, compensation is made in advance, and a certain deviation is usually predicted, so that the potential stability is maintained according to The generated adjustment amount is not too large and And Compared with the prior zinc powder adding amount, the zinc powder adding amount is only finely adjusted, and the updating formula of the zinc powder adding amount is as follows: Wherein, the Representing the three-dimensional fuzzy rule function of the design, The zinc powder adjusting amount generated according to the potential difference value is added with the current zinc powder adding amount to obtain a new zinc powder setting value.
6. An apparatus for a zinc powder automatic control method for an antimony salt purification process according to any one of claims 1 to 5, wherein the apparatus comprises, The potential optimization setting module is used for distributing reasonable potential setting values for different purifying tanks according to the cobalt ion and copper ion concentrations at the inlet of each purifying tank; The potential compensation adjustment module is used for adjusting potential set values according to actual conditions in the normal operation process so as to adapt to the change of reaction environments; And the potential stability control module is used for adjusting the zinc powder adding amount of the purifying tank to keep the actual potential value consistent with the set value.
7. The apparatus of claim 6, further comprising a potential change feedback adjustment module configured to generate a new setting value to update the original setting value to obtain a new potential setting value in response to a significant change in the operating condition.
8. The automatic control system of the zinc powder automatic control method of the antimony salt purifying process according to any one of claims 1 to 5, which is characterized by comprising a group of purifying tanks and a DCS system which are sequentially arranged and communicated through pipelines, and the device according to claim 6 or 7, wherein the DCS system is in communication connection with the device, an automatic feeding device is arranged above the purifying tanks, a potentiometer is arranged in the purifying tanks, the automatic feeding device is controlled by the DCS system, and the reading of the potentiometer is directly transmitted to the DCS system.
9. A computer readable storage medium, characterized in that said computer readable storage medium has stored thereon a program for said automatic control method of zinc dust in an antimony salt purification process, said program for said automatic control method, when executed by a processor, carrying out the steps of the automatic control method according to any one of claims 1-5.

Description

Zinc powder automatic control method, device and system in antimony salt purification process Technical Field The invention relates to the technical field of zinc smelting, in particular to a zinc powder automatic control method, a zinc powder automatic control device, a zinc powder automatic control system and a zinc powder automatic control system in an antimony salt purification process and a readable storage medium. Background The wet zinc smelting process mainly comprises four working procedures of roasting, leaching, purifying and electrolyzing. The leaching procedure dissolves zinc-containing materials (zinc concentrate, zinc leaching slag and the like) through two steps of neutral leaching and acid leaching to form electrolyte solution mainly containing zinc ions and containing impurity ions such as copper, cadmium, nickel, cobalt and the like. If no purification is adopted, the impurity ions compete for electrons with zinc ions in the subsequent electrolysis process, deposit together with the zinc ions, reduce current efficiency, increase electricity consumption, reduce zinc powder purity, corrode a cathode, and even influence safe and stable operation of the zinc hydrometallurgy process. Therefore, between the leaching and electrolysis steps, it is necessary to reduce the impurity ion concentration to the requirement of the electrolysis step through the purification step. The oxidation-reduction potential (ORP) is a comprehensive indicator for detecting macroscopic redox properties exhibited by all substances in solution. ORP is represented by the ability of a solution to macroscopically donate or acquire electrons. In the process of purifying and removing cobalt, the only reducing agent zinc provides all electrons, cobalt ions, copper ions, antimony ions and hydrogen ions are taken as oxidizing agents from zinc powder, and the lower the ORP value is, the easier the cobalt ions are deposited by reduction. ORP is thus a means of real-time electrochemical reaction progress in solution. The greater the zinc powder addition in the cobalt removal process, the lower the ORP, the higher the cobalt removal rate, and the lower the outlet cobalt ion concentration. When the cobalt ion outlet concentration in the purification step is lower than a predetermined threshold value, the zinc powder addition amount needs to be reduced to reduce the production cost when the conditions are satisfied. At present, the zinc powder adding amount in the antimony salt purifying process is judged and adjusted by on-site operators according to the test results of the concentration of cobalt ions and copper ions in the solution at the outlet of the purifying tank and the personal operation experience. However, because the working condition of the cobalt removal process is frequently changed, the zinc powder addition amount is dynamic, and on-site operators simultaneously operate a plurality of indexes, excessive zinc powder addition amount or untimely control of a certain index in the actual control process can be caused, the cost of the cobalt removal process is increased, and potential safety hazards are generated. Disclosure of Invention The invention aims to solve the defects of the prior art, and provides the zinc powder automatic control method for the antimony salt purification process, which automatically adjusts the zinc powder addition according to potential fluctuation, so that the accurate control of the zinc powder addition is realized, the zinc powder unit consumption is effectively reduced, and the production cost in the purification process is reduced. The invention also provides a zinc powder automatic control device and system for the antimony salt purification process and a readable storage medium. The technical scheme adopted by the invention is as follows: The zinc powder automatic control method for the antimony salt purification process comprises a group of purification tanks, an automatic feeding device and a potentiometer, wherein the purification tanks are sequentially arranged and communicated through pipelines, the automatic feeding device is arranged above the purification tanks, the potentiometer is arranged in the purification tanks and used for obtaining a potential real-time value, the automatic feeding device is controlled by a DCS system, the reading of the potentiometer is directly transmitted to the DCS system through a sensor, and the zinc powder automatic control method comprises the following steps: Acquiring parameters of each purifying tank at regular time to obtain an operation log, wherein the parameters comprise the concentration of cobalt ions and copper ions in solution at the inlet of the purifying tank and the outlet of the last purifying tank and the potential in the purifying tank; constructing a cobalt-removing fitting model, fitting the operation log through an artificial neural network to generate a data model between the potential and the copper-cobalt ion concentration un