CN110193427A - A kind of autocontrol method of copper flotation flowsheet lime-crushed stone pile - Google Patents
A kind of autocontrol method of copper flotation flowsheet lime-crushed stone pile Download PDFInfo
- Publication number
- CN110193427A CN110193427A CN201910531484.5A CN201910531484A CN110193427A CN 110193427 A CN110193427 A CN 110193427A CN 201910531484 A CN201910531484 A CN 201910531484A CN 110193427 A CN110193427 A CN 110193427A
- Authority
- CN
- China
- Prior art keywords
- measured value
- value
- grade
- grades
- ratioscu
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03D—FLOTATION; DIFFERENTIAL SEDIMENTATION
- B03D1/00—Flotation
- B03D1/02—Froth-flotation processes
- B03D1/028—Control and monitoring of flotation processes; computer models therefor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03D—FLOTATION; DIFFERENTIAL SEDIMENTATION
- B03D2201/00—Specified effects produced by the flotation agents
- B03D2201/007—Modifying reagents for adjusting pH or conductivity
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03D—FLOTATION; DIFFERENTIAL SEDIMENTATION
- B03D2203/00—Specified materials treated by the flotation agents; specified applications
- B03D2203/02—Ores
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacture And Refinement Of Metals (AREA)
Abstract
The invention discloses a kind of autocontrol methods of copper flotation flowsheet lime-crushed stone pile, are classified first by off-line data to current flotation raw ore operating condition;Determine the best PH preset value calculation model parameter under each classification operating condition;The on-line measurement data in copper flotation flowsheet are obtained in real time;Judge that current working is classified according to acquired raw ore copper grade measured value, raw ore sulfur grade measured value, obtains best PH setting value;According to the deviation situation of acquired concentrate copper grade measured value, tailing copper grade measured value and grade target control range, best PH setting value is automatically adjusted by PH optimal control rule;According to the deviation and variable quantity between acquired PH measured value and the best PH setting value, lime-crushed stone pile is automatically adjusted by the PH stability controller that variable coefficient is adjusted.This method can guarantee that pulp PH value is comparatively fast stable in optimum range, and then steady production index, it is ensured that the stable operation of flotation flowsheet.
Description
Technical field
The present invention relates to select smelting process industrial automatic control technology field more particularly to a kind of copper flotation flowsheet lime to add
The autocontrol method of amount.
Background technique
For the copper floatation process in mineral process, lime is as the most common regulator, the number of additive amount
Directly affect pulp PH value, so influence mineral can flotation, adverse effect is caused to the stability of final products index.By
Frequently, corresponding lime-crushed stone pile needs frequent manual adjustment for original ore property fluctuation in practical dressing Production Process.
Since prior art excessively relies on artificial detection and manual experiential operating, cause in practical floatation process
The stability of PH control is bad;And operating condition, once changing, operator also has no way of learning for the optimum controling range of PH, mostly with
It touches and searches based on the adjusting of formula experience, further resulted in the lengthening of production target stable period, easily caused economic loss.
Summary of the invention
The object of the present invention is to provide a kind of autocontrol method of copper flotation flowsheet lime-crushed stone pile, this method can be protected
It is comparatively fast stable in optimum range to demonstrate,prove pulp PH value, and then steady production index, it is ensured that the stable operation of flotation flowsheet.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of autocontrol method of copper flotation flowsheet lime-crushed stone pile, which comprises
Step 1 classifies to current flotation raw ore operating condition by off-line data;Wherein, the off-line data includes original
Mine copper grade, raw ore sulfur grade, raw ore sulphur copper ratio and corresponding best PH controlling value;
Step 2 determines each best PH preset value calculation model parameter classified under operating condition;
Step 3, in real time the on-line measurement data in acquisition copper flotation flowsheet;Wherein, the on-line measurement data include original
Mine copper grade measured value, raw ore sulfur grade measured value, PH measured value, concentrate copper grade measured value, tailing copper grade measured value;
Step 4 judges that current working is classified according to acquired raw ore copper grade measured value, raw ore sulfur grade measured value,
And measured value is substituted into the best PH preset value calculation model under current affiliated classification operating condition, obtain best PH setting value;
Step 5, according to acquired concentrate copper grade measured value, tailing copper grade measured value and grade target control range
Deviation situation, the best PH setting value is automatically adjusted by PH optimal control rule;
Step 6, the PH measured value according to acquired in step 3 and deviation and variable quantity between the best PH setting value,
Lime-crushed stone pile is automatically adjusted by the PH stability controller that variable coefficient is adjusted, with guarantee practical pH value and it is described most preferably
PH setting value is consistent.
As seen from the above technical solution provided by the invention, the above method can guarantee pulp PH value comparatively fast it is stable
In optimum range, and then steady production index, it is ensured that the stable operation of flotation flowsheet.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment
Attached drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this
For the those of ordinary skill in field, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is the autocontrol method flow diagram of copper flotation flowsheet lime-crushed stone pile provided in an embodiment of the present invention;
Fig. 2 is 8 hours change curve schematic diagrames of flotation flowsheet raw ore pH value before the embodiment of the present invention comes into operation;
Fig. 3 is 8 hours change curve schematic diagrames of flotation flowsheet raw ore pH value after the embodiment of the present invention comes into operation.
Specific embodiment
With reference to the attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on this
The embodiment of invention, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, belongs to protection scope of the present invention.
The embodiment of the present invention is described in further detail below in conjunction with attached drawing, is implemented as shown in Figure 1 for the present invention
The autocontrol method flow diagram for the copper flotation flowsheet lime-crushed stone pile that example provides, which comprises
Step 1 classifies to current flotation raw ore operating condition by off-line data;
Wherein, the off-line data includes raw ore copper grade, raw ore sulfur grade, raw ore sulphur copper ratio and corresponding best PH
Controlling value;
In the step, the process classified to current flotation raw ore operating condition specifically:
The creation data in historical data base under concentrate grade and tailings grade situation up to standard is screened first;
Then different raw ore copper grades, raw ore sulfur grade, raw ore sulphur copper are obtained than lower corresponding raw ore pH value distribution feelings
The creation data is carried out producing condition classification according to pH value distribution situation by condition, and final classification number is denoted as n;
Choose m group raw ore copper grade GradeCu, the raw ore sulfur grade GradeS, raw ore sulphur under each classification operating condition respectively again
The numerical value of copper ratio RatioSCu forms n producing condition classification group, is recorded in the operating condition grouping of a~n respectively, specifically:
{(GradeCua1,GradeSa1,RatioSCua1),(GradeCua2,GradeSa2,RatioSCua2),...
(GradeCuam,GradeSam,RatioSCuam)},
{(GradeCub1,GradeSb1,RatioSCub1),(GradeCub2,GradeSb2,RatioSCub2),...
(GradeCubm,GradeSbm,RatioSCubm)},
......
{(GradeCun1,GradeSn1,RatioSCun1),(GradeCun2,GradeSn2,RatioSCun2),...
(GradeCunm,GradeSnm,RatioSCunm)}。
Step 2 determines each best PH preset value calculation model parameter classified under operating condition;
In this step, detailed process are as follows:
Best PH preset value calculation model is expressed as under kth class operating condition:
Wherein, ak1, ak2, ak3And ak4For model parameter, can be determined by least square method, detailed process are as follows:
The error equation of m sample point is listed first:
Equation group is expressed in matrix as again:
Wherein,
Obtain the solution of matrix form:
To obtain best PH preset value calculation model parameter ak1, ak2, ak3And ak4。
Step 3, in real time the on-line measurement data in acquisition copper flotation flowsheet;
Wherein, the on-line measurement data include raw ore copper grade measured value, raw ore sulfur grade measured value, PH measured value,
Concentrate copper grade measured value, tailing copper grade measured value;
It, can be by computer ethernet communication interface, with a kind of OPC (COM/DCOM skill using Microsoft in the step
Art reaches the agreement of automation control) mode and dressing plant's automated system realize creation data real-time, interactive, and sample week
Phase may be configured as 1 second.
Step 4 judges that current working is classified according to acquired raw ore copper grade measured value, raw ore sulfur grade measured value,
And measured value is substituted into the best PH preset value calculation model under current affiliated classification operating condition, obtain best PH setting value;
In the step, first according to online raw ore copper grade measured value GradeCu obtained under current t momentt, raw ore
Sulfur grade measured value GradeSt, raw ore sulphur copper ratio RatioSCut, data point to be sorted is formed, which indicates are as follows:
(GradeCut,GradeSt,RatioSCut);
Wherein,
Then the Euclidean distance of floor data point known to the data point to be sorted to following whole is calculated one by one:
{(GradeCua1,GradeSa1,RatioSCua1),(GradeCua2,GradeSa2,RatioSCua2),...
(GradeCuam,GradeSam,RatioSCuam)},
{(GradeCub1,GradeSb1,RatioSCub1),(GradeCub2,GradeSb2,RatioSCub2),...
(GradeCubm,GradeSbm,RatioSCubm)},
......
{(GradeCun1,GradeSn1,RatioSCun1),(GradeCun2,GradeSn2,RatioSCun2),...
(GradeCunm,GradeSnm,RatioSCunm)}
With the data point to be sorted to any data point (GradeCukm,GradeSkm,RatioSCukm) Euclidean distance
yt_kmFor calculating, calculation formula is as follows:
The Euclidean distance of floor data point known to the data point to whole to be sorted is finally obtained, is indicated are as follows:
yt_a1, yt_a2... yt_km... yt_nm;
According to yt_a1, yt_a2... yt_km... yt_nmSequence from small to large arranges corresponding known floor data point
Sequence, the q points nearest with the data point to be sorted before choosing wherein, and count this q point and fall into known n operating condition
The number of classification;
Using the highest operating condition classification of the classification frequency of occurrences in above-mentioned q point as the operating condition minute of the data point to be sorted
Class, and by (GradeCut,GradeSt,RatioSCut) best PH preset value calculation model is substituted into, it obtains under the producing condition classification most
Good PH setting value pHt_cal。
Step 5, according to acquired concentrate copper grade measured value, tailing copper grade measured value and grade target control range
Deviation situation, the best PH setting value is automatically adjusted by PH optimal control rule;
In the step, the PH optimal control rule includes:
1. if previous moment PH setting value pHt-1Less than current time PH theory setting value pHt_cal, and meet simultaneously as follows
Condition:
A) concentrate grade measured value-concentrate grade setting value < negative permission control deviation;
B) tailings grade measured value-tailings grade setting value < just allow control deviation;
C) duration reaches preset value T1;
Then current time PH actual setpoint pHtEqual to pHt_cal;
2. if previous moment PH setting value pHt-1Greater than current time PH theory setting value pHt_cal, and meet simultaneously as follows
Condition:
A) concentrate grade measured value-concentrate grade setting value > just allows control deviation;
B) duration reaches preset value T2;
Then current time PH actual setpoint pHtEqual to pHt_cal;
3. if previous moment PH setting value pHt-1Greater than current time PH theory setting value pHt_cal, and meet simultaneously as follows
Condition:
A) control deviation≤concentrate grade measured value-concentrate grade setting value≤is allowed just to allow control deviation when negative;
B) tailings grade measured value-tailings grade setting value > just allows control deviation;
C) duration reaches preset value T3;
Then current time PH actual setpoint pHtEqual to pHt_cal;
4. in the case of other, keeping current time PH actual setpoint pHtEqual to previous moment PH setting value pHt-1。
Above-mentioned rule can be established in conjunction with site technique process.
Step 6, the PH measured value according to acquired in step 3 and deviation and variable quantity between the best PH setting value,
Lime-crushed stone pile is automatically adjusted by the PH stability controller that variable coefficient is adjusted, with guarantee practical pH value and it is described most preferably
PH setting value is consistent.
In this step, under each control period, lime-crushed stone pile is adjusted according to following expression:
U (t)=u (t-1)+k1×(pHPV_t-1-pHPV_t)+k2×(pHt-pHPV_t)
In formula, u (t) is the output valve (i.e. milk of lime additive amount) of current t moment controller, and u (t-1) is to control at the t-1 moment
The output valve of device processed, pHPV_tFor the actual measured value of t moment PH, pHPV_t-1For the actual measured value of t-1 moment PH, k1And k2Point
Not Wei controller adjustment factor, be automatically adjusted according to control interval locating for the PH measured value.
Further, above-mentioned k1And k2Coefficient adjustment rule include:
1. when PH measured value-is when 2 times of PH setting value > of positive permission control deviation, k1And k2It can use relatively large system
Number;
2. when just allowing control deviation≤when PH measured value-is when the positive permission control deviation of setting value≤2 times PH, k1With
k2It can use relatively small coefficient;
3. allowing control deviation < when PH measured value-is when PH setting value < just allows control deviation when negative, k1Desirable phase
To lesser coefficient, k2Desirable 0;
4. when 2 times of negative permission control deviations≤when PH measured value-is when PH setting value≤when bearing permission control deviation, k1With
k2It can use relatively small coefficient;
5. when PH measured value-is when 2 times of PH setting value < of negative permission control deviation, k1And k2It can use relatively large system
Number.
In order to further illustrate the present invention, below using the raw ore lime-crushed stone pile control point of certain copper ore floatation process as in fact
Object is applied, specific process step includes:
Step 1, first by including the when corresponding best PH control of raw ore copper grade, raw ore sulfur grade, raw ore sulphur copper
The off-line data of value inherence classifies to current flotation raw ore operating condition.
From the typical production being had chosen in historical data base in concentrate grade and tailings grade situation up to standard in this example
Totally 21 groups of data, in conjunction with pH value typical case's control range, operating condition is divided into 3 classes, shown in table 1 specific as follows:
Table 1
Step 2 determines best PH preset value calculation model parameter under each operating condition respectively.
In the present embodiment, it is fitted to obtain following best PH preset value calculation model by least square method:
In parameter ak1, ak2, ak3And ak4。
By calculating, the 1. under class process, best PH preset value calculation model expression are as follows:
2. under class process, best PH preset value calculation model expression are as follows:
3. under class process, best PH preset value calculation model expression are as follows:
Step 3 reads online data, reads current time raw ore copper grade measured value 0.71, raw ore sulphur by OPC mode
Grade measured value 9.5, PH measured value 11.72, concentrate copper grade measured value 16.5, tailing copper grade measured value 0.009.
The raw ore copper grade measured value 0.71 that step 4, basis obtain online, raw ore sulfur grade measured value 9.5 are calculated
Raw ore sulphur copper ratio is 13.38, calculates separately data point Euclidean distance of each point into table 1 and is listed in the following table 2:
Table 2
After each point is calculated obtained Euclidean distance according to arranging from small to large, discovery comes preceding 5 data points, i.e.,
9,2. 13,14,11 and No. 10 points belong to operating condition classification, that is, determine to currently belong to operating condition classification 2..
By online raw ore copper grade measured value 0.71, raw ore sulfur grade measured value 9.5, the operating condition that substitution step 2 obtains is 2.
Under best PH preset value calculation model, obtain best PH setting value pH under the operating conditiont_calIt is 12.05.
Step 5, the deviation according to the on-line measurement value and grade target control range of flotation flowsheet concentrate and tailings grade
Situation is automatically adjusted best PH setting value by PH optimal control rule.
If previous moment PH setting value pHt-1=11.75 are less than current time PH theory setting value pHt_cal=12.5, and it is same
When meet following condition:
A) concentrate grade measured value 16.5- concentrate grade setting value 17 < negative permission control deviation -0.3;
B) tailings grade measured value 0.009- tailings grade setting value 0.012 < positive permission control deviation 0.002;
C) duration reaches preset value T1=30 minutes;
Then current time PH actual setpoint pHt=pHt_cal=12.05.
Step 6, according to the PH measured value of on-line checking and the deviation and its variable quantity of PH setting value, adjusted by variable coefficient
PH stability controller realize to the adjust automatically of lime-crushed stone pile, to guarantee that PH measured value is consistent with PH setting value.
In the present embodiment, pHPV_t=11.73, pHPV_t-1=11.7, pHt=12.05, the control of previous moment lime-crushed stone pile
The output valve u (t-1)=24.6, k of device1=10, k2=18, calculated result, current time are exported according to lime-crushed stone pile controller
The setting value of milk of lime additive amount becomes 30.06.
According to above-mentioned process, automatic control system is in time adjusted the lime-crushed stone pile setting value of raw ore,
Product index is abnormal caused by effectively avoiding because of operator's discovery not in time, has very much side to flotation production target is stablized
It helps.
8 hours change curve schematic diagrames of flotation flowsheet raw ore pH value before the embodiment of the present invention comes into operation are illustrated in figure 2, are such as schemed
3 show come into operation after 8 hours change curve schematic diagrames of flotation flowsheet raw ore pH value, from the comparison of Fig. 2 and 3: using this
It is 0.42 that PH, which changes standard deviation, before method, in 8 hours;After using this method, PH variation mark standard deviation is 0.13 within 8 hours.By
This is as it can be seen that the control stability of raw ore pH value has significantly improves.
It is worth noting that, the content being not described in detail in the embodiment of the present invention belongs to professional and technical personnel in the field's public affairs
The prior art known.
In conclusion the autocontrol method of copper flotation flowsheet lime-crushed stone pile of the present invention has the advantage that
1, by automatically adjusting the additive amount of copper flotation flowsheet lime, the stability contorting of copper flotation flowsheet PH is realized, is protected
It is stable in optimum range faster guarantee pulp PH value has been demonstrate,proved;
2, operating condition is divided by the head grade value of on-line checking, realizes that flotation flowsheet PH's under different operating conditions is excellent
Change control, can effectively reduce the fluctuation of production target;
3, realtime control is high, in conjunction with online concentrate and tailings grade situation of change, realizes to flotation PH setting value
Dynamic adjusts, and greatly reduces manual operation intensity.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Within the technical scope of the present disclosure, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claims
Subject to enclosing.
Claims (7)
1. a kind of autocontrol method of copper flotation flowsheet lime-crushed stone pile, which is characterized in that the described method includes:
Step 1 classifies to current flotation raw ore operating condition by off-line data;Wherein, the off-line data includes raw ore copper
Grade, raw ore sulfur grade, raw ore sulphur copper ratio and corresponding best PH controlling value;
Step 2 determines each best PH preset value calculation model parameter classified under operating condition;
Step 3, in real time the on-line measurement data in acquisition copper flotation flowsheet;Wherein, the on-line measurement data include raw ore copper
Grade measured value, raw ore sulfur grade measured value, PH measured value, concentrate copper grade measured value, tailing copper grade measured value;
Step 4 judges that current working is classified according to acquired raw ore copper grade measured value, raw ore sulfur grade measured value, and will
Measured value substitutes into the best PH preset value calculation model under current affiliated classification operating condition, obtains best PH setting value;
It is step 5, inclined with grade target control range according to acquired concentrate copper grade measured value, tailing copper grade measured value
Poor situation is automatically adjusted the best PH setting value by PH optimal control rule;
Step 6, the PH measured value according to acquired in step 3 and deviation and variable quantity between the best PH setting value, pass through
The PH stability controller that variable coefficient is adjusted is automatically adjusted lime-crushed stone pile, to guarantee that practical pH value is set with the best PH
Definite value is consistent.
2. the autocontrol method of copper flotation flowsheet lime-crushed stone pile according to claim 1, which is characterized in that in step 1
In, the process classified to current flotation raw ore operating condition specifically:
The creation data in historical data base under concentrate grade and tailings grade situation up to standard is screened first;
Then different raw ore copper grades, raw ore sulfur grade, raw ore sulphur copper are obtained than lower corresponding raw ore pH value distribution situation, root
The creation data is subjected to producing condition classification according to pH value distribution situation, final classification number is denoted as n;
Choose m group raw ore copper grade GradeCu, the raw ore sulfur grade GradeS, raw ore sulphur copper ratio under each classification operating condition respectively again
The numerical value of RatioSCu forms n producing condition classification group, is recorded in the operating condition grouping of a~n respectively, specifically:
{(GradeCua1,GradeSa1,RatioSCua1),(GradeCua2,GradeSa2,RatioSCua2),...
(GradeCuam,GradeSam,RatioSCuam)},
{(GradeCub1,GradeSb1,RatioSCub1),(GradeCub2,GradeSb2,RatioSCub2),...
(GradeCubm,GradeSbm,RatioSCubm)},
……
{(GradeCun1,GradeSn1,RatioSCun1),(GradeCun2,GradeSn2,RatioSCun2),...
(GradeCunm,GradeSnm,RatioSCunm)}。
3. the autocontrol method of copper flotation flowsheet lime-crushed stone pile according to claim 1, which is characterized in that in step 2
In, determine the process of the best PH preset value calculation model parameter under each classification operating condition specifically:
Best PH preset value calculation model is expressed as under kth class operating condition:
Wherein, ak1, ak2, ak3And ak4For model parameter, can be determined by least square method, detailed process are as follows:
The error equation of m sample point is listed first:
Equation group is expressed in matrix as again:
Wherein,
Obtain the solution of matrix form:
To obtain best PH preset value calculation model parameter ak1, ak2, ak3And ak4。
4. the autocontrol method of copper flotation flowsheet lime-crushed stone pile according to claim 1, which is characterized in that the step
4 process specifically:
According to online raw ore copper grade measured value GradeCu obtained under current t momentt, raw ore sulfur grade measured value
GradeSt, raw ore sulphur copper ratio RatioSCut, data point to be sorted is formed, which indicates are as follows:
(GradeCut,GradeSt,RatioSCut);
Wherein,
Then the Euclidean distance of floor data point known to the data point to be sorted to following whole is calculated one by one:
{(GradeCua1,GradeSa1,RatioSCua1),(GradeCua2,GradeSa2,RatioSCua2),...
(GradeCuam,GradeSam,RatioSCuam)},
{(GradeCub1,GradeSb1,RatioSCub1),(GradeCub2,GradeSb2,RatioSCub2),...
(GradeCubm,GradeSbm,RatioSCubm)},
……
{(GradeCun1,GradeSn1,RatioSCun1),(GradeCun2,GradeSn2,RatioSCun2),...
(GradeCunm,GradeSnm,RatioSCunm)}
With the data point to be sorted to any data point (GradeCukm,GradeSkm,RatioSCukm) Euclidean distance yt_kmMeter
For calculation, calculation formula is as follows:
The Euclidean distance of floor data point known to the data point to whole to be sorted is finally obtained, is indicated are as follows:
yt_a1, yt_a2... yt_km... yt_nm;
According to yt_a1, yt_a2... yt_km... yt_nmSequence from small to large is ranked up corresponding known floor data point, selects
The q points nearest with the data point to be sorted before taking wherein, and count this q point and fall into known n producing condition classification
Number;
Using the highest operating condition classification of the classification frequency of occurrences in above-mentioned q point as the producing condition classification of the data point to be sorted, and
By (GradeCut,GradeSt,RatioSCut) best PH preset value calculation model is substituted into, obtain best PH under the producing condition classification
Setting value pHt_cal。
5. the autocontrol method of copper flotation flowsheet lime-crushed stone pile according to claim 1, which is characterized in that in step 5
In, the PH optimal control rule includes:
1. if previous moment PH setting value pHt-1Less than current time PH theory setting value pHt_cal, and meet following condition simultaneously:
A) concentrate grade measured value-concentrate grade setting value < negative permission control deviation;
B) tailings grade measured value-tailings grade setting value < just allow control deviation;
C) duration reaches preset value T1;
Then current time PH actual setpoint pHtEqual to pHt_cal;
2. if previous moment PH setting value pHt-1Greater than current time PH theory setting value pHt_cal, and meet following condition simultaneously:
A) concentrate grade measured value-concentrate grade setting value > just allows control deviation;
B) duration reaches preset value T2;
Then current time PH actual setpoint pHtEqual to pHt_cal;
3. if previous moment PH setting value pHt-1Greater than current time PH theory setting value pHt_cal, and meet following condition simultaneously:
A) control deviation≤concentrate grade measured value-concentrate grade setting value≤is allowed just to allow control deviation when negative;
B) tailings grade measured value-tailings grade setting value > just allows control deviation;
C) duration reaches preset value T3;
Then current time PH actual setpoint pHtEqual to pHt_cal;
4. in the case of other, keeping current time PH actual setpoint pHtEqual to previous moment PH setting value pHt-1。
6. the autocontrol method of copper flotation flowsheet lime-crushed stone pile according to claim 1, which is characterized in that the step
6 process specifically:
Under each control period, lime-crushed stone pile is adjusted according to following expression:
U (t)=u (t-1)+k1×(pHPV_t-1-pHPV_t)+k2×(pHt-pHPV_t)
In formula, u (t) is the output valve of current t moment controller;U (t-1) is the output valve of t-1 moment controller;pHPV_tFor t
The actual measured value of moment PH;pHPV_t-1For the actual measured value of t-1 moment PH;k1And k2The respectively adjustment factor of controller,
It is automatically adjusted according to control interval locating for the PH measured value.
7. the autocontrol method of copper flotation flowsheet lime-crushed stone pile according to claim 6, which is characterized in that the k1With
k2Coefficient adjustment rule include:
1. when PH measured value-is when 2 times of PH setting value > of positive permission control deviation, k1And k2Take relatively large coefficient;
2. when just allowing control deviation≤when PH measured value-is when the positive permission control deviation of setting value≤2 times PH, k1And k2It takes
Relatively small coefficient;
3. allowing control deviation < when PH measured value-is when PH setting value < just allows control deviation when negative, k1It takes relatively small
Coefficient, k2Take 0;
4. when 2 times of negative permission control deviations≤when PH measured value-is when PH setting value≤when bearing permission control deviation, k1And k2It takes
Relatively small coefficient;
5. when PH measured value-is when 2 times of PH setting value < of negative permission control deviation, k1And k2Take relatively large coefficient.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910531484.5A CN110193427B (en) | 2019-06-19 | 2019-06-19 | Automatic control method for lime addition amount in copper flotation process |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910531484.5A CN110193427B (en) | 2019-06-19 | 2019-06-19 | Automatic control method for lime addition amount in copper flotation process |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110193427A true CN110193427A (en) | 2019-09-03 |
CN110193427B CN110193427B (en) | 2021-01-26 |
Family
ID=67754842
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910531484.5A Active CN110193427B (en) | 2019-06-19 | 2019-06-19 | Automatic control method for lime addition amount in copper flotation process |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110193427B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111229475A (en) * | 2020-01-19 | 2020-06-05 | 中化重庆涪陵化工有限公司 | Multi-parameter control system based on phosphorite reverse flotation |
CN112916196A (en) * | 2020-12-29 | 2021-06-08 | 内蒙古黄岗矿业有限责任公司 | Mineral processing technology for obtaining independent copper and zinc concentrates from low-copper high-zinc sulfide ores |
CN113385301A (en) * | 2021-06-21 | 2021-09-14 | 矿冶科技集团有限公司 | Beneficiation method for copper-molybdenum ore |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2481482A1 (en) * | 2011-01-26 | 2012-08-01 | ABB Research Ltd. | Control of a froth flotation process with a model based controller using the online measurement of the surface tension |
CN106292292A (en) * | 2016-10-17 | 2017-01-04 | 鞍钢集团矿业有限公司 | The floatation of iron ore dosing Optimal Setting method and system of case-based reasioning |
CN107392232A (en) * | 2017-06-23 | 2017-11-24 | 中南大学 | A kind of flotation producing condition classification method and system |
CN108986077A (en) * | 2018-06-19 | 2018-12-11 | 东北大学 | Flotation froth operating mode's switch method based on dual-tree complex wavelet domain symbiosis augmented matrix |
CN109569887A (en) * | 2018-11-23 | 2019-04-05 | 鞍钢集团矿业有限公司 | A kind of floatation of iron ore dosing autocontrol method based on tailings grade |
-
2019
- 2019-06-19 CN CN201910531484.5A patent/CN110193427B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2481482A1 (en) * | 2011-01-26 | 2012-08-01 | ABB Research Ltd. | Control of a froth flotation process with a model based controller using the online measurement of the surface tension |
CN106292292A (en) * | 2016-10-17 | 2017-01-04 | 鞍钢集团矿业有限公司 | The floatation of iron ore dosing Optimal Setting method and system of case-based reasioning |
CN107392232A (en) * | 2017-06-23 | 2017-11-24 | 中南大学 | A kind of flotation producing condition classification method and system |
CN108986077A (en) * | 2018-06-19 | 2018-12-11 | 东北大学 | Flotation froth operating mode's switch method based on dual-tree complex wavelet domain symbiosis augmented matrix |
CN109569887A (en) * | 2018-11-23 | 2019-04-05 | 鞍钢集团矿业有限公司 | A kind of floatation of iron ore dosing autocontrol method based on tailings grade |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111229475A (en) * | 2020-01-19 | 2020-06-05 | 中化重庆涪陵化工有限公司 | Multi-parameter control system based on phosphorite reverse flotation |
CN111229475B (en) * | 2020-01-19 | 2021-09-07 | 中化重庆涪陵化工有限公司 | Multi-parameter control system based on phosphorite reverse flotation |
CN112916196A (en) * | 2020-12-29 | 2021-06-08 | 内蒙古黄岗矿业有限责任公司 | Mineral processing technology for obtaining independent copper and zinc concentrates from low-copper high-zinc sulfide ores |
CN112916196B (en) * | 2020-12-29 | 2022-08-23 | 内蒙古黄岗矿业有限责任公司 | Mineral processing technology for obtaining independent copper and zinc concentrates from low-copper high-zinc sulfide ores |
CN113385301A (en) * | 2021-06-21 | 2021-09-14 | 矿冶科技集团有限公司 | Beneficiation method for copper-molybdenum ore |
Also Published As
Publication number | Publication date |
---|---|
CN110193427B (en) | 2021-01-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110193427A (en) | A kind of autocontrol method of copper flotation flowsheet lime-crushed stone pile | |
CN104570739B (en) | Ore dressing multi-production-index optimized decision making system and method based on cloud and mobile terminal | |
CN110328615B (en) | Intelligent grinding system and method for spark discharge control | |
CN105182740B (en) | Raw material grinding autocontrol method | |
CN107390753B (en) | Intelligent plant growth environment regulating device and method based on Internet of Things cloud platform | |
CN106773682B (en) | The glass furnace bottom of pond temperature intelligent forecast Control Algorithm being dynamically determined based on time lag | |
CN109839825A (en) | A kind of forecast Control Algorithm and system of Rare-Earth Extraction Process constituent content | |
CN103173584A (en) | Blast furnace burden-distribution control system with self-learning control function | |
CN106774243A (en) | PID performance estimating methods | |
CN109847916B (en) | Energy-saving optimization method of cement raw material vertical mill system | |
CN115456479A (en) | Wisdom green house environmental monitoring system based on thing networking | |
CN115336780B (en) | Loose conditioning water-adding control system based on neural network model and double parameter correction | |
CN101748477A (en) | Intelligent PID control method for controlling growth process of monocrystalline silicon and system thereof | |
CN104200270B (en) | A kind of hobbing processes parameter adaptive adjusting method based on differential evolution algorithm | |
PL199679B1 (en) | Monitoring and control of a froth flotation plant | |
CN111443597B (en) | Device and method for controlling granularity of vertical mill mineral powder | |
CN106288190A (en) | The control method of air cleaning facility and air cleaning facility | |
CN110246547A (en) | A kind of sintering process Blending optimization method | |
CN109939773A (en) | Collaboration husk rice method, system, cooperation relation determine method and husk rice system | |
CN108469797A (en) | A kind of grinding process modeling method based on neural network and evolutionary computation | |
CN114510098B (en) | Production environment regulation and control method and system | |
CN109342279A (en) | Mixing flexible measurement method based on grinding mechanism and neural network | |
CN117131314B (en) | Mixed material temperature monitoring and regulating system for asphalt pavement construction | |
CN109001989B (en) | Machine control method based on intelligent learning algorithm | |
CN106617245A (en) | Method, device and system for controlling moisture content of expanded tobacco at in-site pneumatic separation outlet |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |