CN110193428A - A kind of flotation flowsheet yield optimal control method - Google Patents

A kind of flotation flowsheet yield optimal control method Download PDF

Info

Publication number
CN110193428A
CN110193428A CN201910531485.XA CN201910531485A CN110193428A CN 110193428 A CN110193428 A CN 110193428A CN 201910531485 A CN201910531485 A CN 201910531485A CN 110193428 A CN110193428 A CN 110193428A
Authority
CN
China
Prior art keywords
grade
foam flow
value
setting value
concentrate grade
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
Application number
CN201910531485.XA
Other languages
Chinese (zh)
Other versions
CN110193428B (en
Inventor
王旭
王庆凯
周俊武
卢晓
赵建军
苏超
陆博
余刚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BGRIMM Technology Group Co Ltd
Original Assignee
BGRIMM Technology Group Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by BGRIMM Technology Group Co Ltd filed Critical BGRIMM Technology Group Co Ltd
Priority to CN201910531485.XA priority Critical patent/CN110193428B/en
Publication of CN110193428A publication Critical patent/CN110193428A/en
Application granted granted Critical
Publication of CN110193428B publication Critical patent/CN110193428B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B03SEPARATION 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
    • B03DFLOTATION; DIFFERENTIAL SEDIMENTATION
    • B03D1/00Flotation
    • B03D1/02Froth-flotation processes
    • B03D1/028Control and monitoring of flotation processes; computer models therefor

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacture And Refinement Of Metals (AREA)
  • Paper (AREA)

Abstract

The invention discloses a kind of flotation flowsheet yield optimal control methods, obtain flotation device level measurement, flotation column level measurement, flotation froth flow rate measurements and online grade measured value in flotation flowsheet key operation in real time;Determine fetched data validity, if discovery is there are invalid data, control system output valve is remained unchanged;According to head grade measured value and concentration ratio setting value, concentrate grade target control range is automatically adjusted;By recording the size of the variable quantity and threshold value of flotation froth flow rate measurements and online grade measured value in a period of time, to determine the variation tendency of concentrate grade, tailings grade and foam flow velocity;According to the deviation and variation tendency of on-line measurement value and setting value, the yield setting value in flotation flowsheet key operation is automatically adjusted by yield optimal control rule.The above method correctly can timely optimize key operation yield setting value, and the fluctuation of concentrate grade and the rate of recovery is effectively reduced, it is ensured that lasting, efficient, the stable operation of flotation flowsheet.

Description

A kind of flotation flowsheet yield optimal control method
Technical field
The present invention relates to select smelting process industrial automatic control technology field more particularly to a kind of flotation flowsheet yield to optimize control Method processed.
Background technique
Raw ore change of properties is frequent in dressing Production Process, and fluctuation range is also larger, easily causes each operation of flotation flowsheet The fluctuation of foam yield, flotation device emit the unusual service conditions such as slot, deep gouge and happen occasionally, to dressing plant's key production target, Stabilization causes adverse effect.In consideration of it, being needed in practical Floating Production Process to key operation floatation equipment (including flotation device And flotation column) liquid level adjusted in time, and then stablize flotation yield, avoid generate deterioration, to concentrate grade and the rate of recovery It has an impact, causes direct economic loss.
However, relying on worker's experience and continual inspection in prior art excessively to realize, choosing has both been increased The human cost of mine factory is also easy to lead to the unusual fluctuations even output of production procedure because of the inertia and operating experience difference of worker Concentrate grade product not up to standard.Therefore, according to real-time grade and foam flow velocity timely and effectively to flotation flowsheet key operation Yield automatically adjust, to optimization operation and steady production index important in inhibiting.
Summary of the invention
The object of the present invention is to provide a kind of flotation flowsheet yield optimal control method, this method can be correctly timely excellent Change key operation yield setting value, the fluctuation of concentrate grade and the rate of recovery is effectively reduced, it is ensured that flotation flowsheet is lasting, efficient, steady Fixed operation.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of flotation flowsheet yield optimal control method, the method for stating include:
Step 1, in real time obtain flotation flowsheet key operation in flotation device level measurement, flotation column level measurement, Flotation froth flow rate measurements and online grade measured value;
Step 2, the data validity for determining acquired flotation froth flow rate measurements and online grade measured value, if hair It is existing in invalid data, then control system output valve remains unchanged, and provides warning note;
Step 3, according to head grade measured value and concentration ratio setting value, concentrate grade target control range is carried out automatic Adjustment;
Step 4, by record in a period of time the variable quantity of flotation froth flow rate measurements and online grade measured value with The size of threshold value, to determine the variation tendency of concentrate grade, tailings grade and foam flow velocity;
Step 5, according to concentrate grade, the deviation and variation tendency of the on-line measurement value of tailings grade and setting value, pass through Yield optimal control rule is automatically adjusted the yield setting value in flotation flowsheet key operation;
Step 6, according to the deviation and variation tendency of foam flow rate measurements and setting value, pass through yield stable control rule The adjust automatically to floatation equipment level set value is realized, to guarantee that actual yield is consistent with desired yield.
As seen from the above technical solution provided by the invention, the above method correctly can timely optimize key operation The fluctuation of concentrate grade and the rate of recovery is effectively reduced in yield setting value, it is ensured that lasting, efficient, 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 flotation flowsheet yield optimal control method flow diagram provided in an embodiment of the present invention;
Fig. 2 is to be illustrated using 8 hours change curves of flotation flowsheet yield before example method of the present invention and concentrate grade Figure;
Fig. 3 is to be illustrated using 8 hours change curves of flotation flowsheet yield after example method of the present invention and concentrate grade Figure.
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 flotation flowsheet yield optimal control method flow diagram that example provides, which comprises
Step 1, in real time obtain flotation flowsheet key operation in flotation device level measurement, flotation column level measurement, Flotation froth flow rate measurements and online grade measured value;
It in this step, specifically can be by computer ethernet communication interface, with a kind of OPC (COM/ using Microsoft DCOM technology reaches the agreement of automation control) mode and dressing plant's automated system realize creation data real-time, interactive.It is real When the data that obtain specifically include that flotation device (or flotation column) level measurement, froth images analysis system communication heart beat flag Position, flotation froth flow rate measurements, online grade analysis system communication heart beat flag position, online grade analysis system detection runner Normal operating conditions flag bit, head grade measured value, concentrate grade measured value, tailings grade measured value etc..Sampling period can It is set as 1 second.
Here, the flotation flowsheet key operation includes: diffeential floatation operation, roughing operation, separation roughing operation and essence It is elected to be industry.
Step 2, the data validity for determining acquired flotation froth flow rate measurements and online grade measured value, if hair It is existing in invalid data, then control system output valve remains unchanged, and provides warning note;
In this step, the data validity of acquired flotation froth flow rate measurements and online grade measured value is determined Process specifically:
The communication heart beat flag position of froth images analysis system is judged first, when the communication heart beat flag position is When 0, assert that acquired flotation froth flow rate measurements are invalid;
Again the communication heart beat flag position to online grade analysis system and detection channel normal operating conditions flag bit into Row judgement assert institute when the communication heart beat flag position is 0 or the detection channel normal operating conditions flag bit is 0 The online grade measured value obtained is invalid.
Step 3, according to head grade measured value and concentration ratio setting value, concentrate grade target control range is carried out automatic Adjustment;
In this step, process is specifically adjusted are as follows:
When head grade measured value × concentration ratio setting value >=concentrate grade technique upper limit value, concentrate grade target control Setting value=concentrate grade technique upper limit value;
When concentrate grade technique lower limit value < head grade measured value × concentration ratio setting value < concentrate grade technique upper limit When value, concentrate grade target control setting value=head grade measured value × concentration ratio setting value;
When head grade measured value × concentration ratio setting value≤concentrate grade technique lower limit value, concentrate grade target control Setting value=concentrate grade technique lower limit value.
Step 4, by record in a period of time the variable quantity of flotation froth flow rate measurements and online grade measured value with The size of threshold value, to determine the variation tendency of concentrate grade, tailings grade and foam flow velocity;
In this step, the process of the variation tendency of concentrate grade, tailings grade and foam flow velocity is determined are as follows:
Calculate concentrate grade measured value GradePV in current measurement cycle ttWith concentrate grade in upper measurement period t-1 Measured value GradePVt-1Variable quantity, by the variable quantity and accumulated change amount GradeTotal it is superimposed after and variable quantity threshold value GradeThreshold is compared:
If GradePVt-GradePVt-1+ GradeTotal >=GradeThreshold, then it is assumed that concentrate grade value is upper It rises;
If GradePVt-GradePVt-1+ GradeTotal≤- GradeThreshold, then it is assumed that concentrate grade value is under Drop;
Otherwise it is assumed that concentrate grade value is in stable state;
Wherein, the calculating of accumulated change amount GradeTotal also with concentrate grade measured value in t-2 measurement period GradePVt-2It is related, specifically:
If (GradePVt-GradePVt-1)×(GradePVt-1-GradePVt-2) > 0,
Then GradeTotal=GradePVt-1-GradePVt-2
If (GradePVt-GradePVt-1)×(GradePVt-1-GradePVt-2)≤0,
Then GradeTotal=0;
Further, the judgment principle and above-mentioned concentrate product of tailings grade measured value and foam flow rate measurements variation tendency The principle of position Trend judgement is identical.
Step 5, according to concentrate grade, the deviation and variation tendency of the on-line measurement value of tailings grade and setting value, pass through Yield optimal control rule adjusts the yield setting value (i.e. foam flow rate setpoint) in flotation flowsheet key operation automatically It is whole;
In this step, the yield optimal control rule specifically includes:
1. when concentrate grade measured value-concentrate grade setting value < negative permission control deviation, and concentrate grade declines, and tail Mine grade measured value≤tailings grade setting value, and when tailings grade does not rise, foam flow rate setpoint variable quantity=(concentrate product Position measured value-concentrate grade setting value) the strong control coefrficient of *;
2. when concentrate grade measured value-concentrate grade setting value < negative permission control deviation, and concentrate grade is stablized, and tail Mine grade measured value≤tailings grade setting value, and when tailings grade does not rise, foam flow rate setpoint variable quantity=(concentrate product Position measured value-concentrate grade setting value) * weak domination coefficient;
3. when concentrate grade measured value-concentrate grade setting value < negative permission control deviation, and concentrate grade rises, foam Flow rate setpoint variable quantity=0;
4. allow control deviation≤concentrate grade measured value-concentrate grade setting value≤0 when negative, and concentrate grade declines, And tailings grade measured value≤tailings grade setting value, and when tailings grade does not rise, foam flow rate setpoint variable quantity=(essence Mine grade measured value-concentrate grade setting value) control coefrficient in *;
5. allow control deviation≤concentrate grade measured value-concentrate grade setting value≤just to allow control deviation when negative, and When concentrate grade is stablized, foam flow rate setpoint variable quantity=0;
6. 0≤concentrate grade measured value ,-concentrate grade setting value≤just allows control deviation, and concentrate grade rises, and When tailings grade measured value > tailings grade setting value or tailings grade rise, foam flow rate setpoint variable quantity=(concentrate product Position measured value-concentrate grade setting value) control coefrficient in *;
7. when concentrate grade measured value-concentrate grade setting value > just allows control deviation, and when concentrate grade decline, bubble Foam flow rate setpoint variable quantity=0;
8. when concentrate grade measured value-concentrate grade setting value > just allows control deviation, and concentrate grade is stablized, and tail When mine grade measured value > tailings grade setting value or tailings grade rise, foam flow rate setpoint variable quantity=(concentrate grade Measured value-concentrate grade setting value) * weak domination coefficient;
9. when concentrate grade measured value-concentrate grade setting value > just allows control deviation, and concentrate grade rises, and tail When mine grade measured value > tailings grade setting value or tailings grade rise, foam flow rate setpoint variable quantity=(concentrate grade Measured value-concentrate grade setting value) the strong control coefrficient of *.
Step 6, according to the deviation and variation tendency of foam flow rate measurements and setting value, pass through yield stable control rule The adjust automatically to floatation equipment level set value is realized, to guarantee that actual yield is consistent with desired yield.
In this step, the yield stable control rule specifically includes:
1. when foam flow rate measurements-foam flow velocity surveys setting value < negative permission control deviation, and when the decline of foam flow velocity, Flotation device level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) strong control coefrficient of *;
2. when foam flow rate measurements-foam flow velocity surveys setting value < negative permission control deviation, and when foam flow speed stability, Flotation device level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) * weak domination coefficient;
3. when foam flow rate measurements-foam flow velocity surveys setting value < negative permission control deviation, and when the rising of foam flow velocity, Flotation device level set value variable quantity=0;
4. allowing control deviation≤when foam flow rate measurements-foam flow velocity surveys setting value≤0 when negative, and under foam flow velocity When drop, control coefrficient in flotation device level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) *;
≤ when foam flow rate measurements-foam flow velocity surveys setting value≤just allow to control inclined 5. when the negative control deviation that allows Difference, and when foam flow speed stability, flotation device level set value variable quantity=0;
6. when 0≤when foam flow rate measurements ,-foam flow velocity surveys setting value≤just allows control deviation, and on foam flow velocity When rising, control coefrficient in flotation device level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) *;
7. surveying setting value > when foam flow rate measurements-foam flow velocity just allows control deviation, and when the decline of foam flow velocity, Flotation device level set value variable quantity=0;
8. surveying setting value > when foam flow rate measurements-foam flow velocity just allows control deviation, and when foam flow speed stability, Flotation device level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) * weak domination coefficient;
9. surveying setting value > when foam flow rate measurements-foam flow velocity just allows control deviation, and when the rising of foam flow velocity, Flotation device level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) strong control coefrficient of *.
It in order to further illustrate the present invention, using the roughing operation of the flotation flowsheet of certain copper mine is below specific example to above-mentioned Process flow is described in detail:
Step 1 reads online data first.
Current time roughing flotation device level measurement 260mm, the communication of froth images analysis system are read by OPC mode Heart beat flag position 1, roughing foam flow rate measurements 50mm/s, online grade analysis system communication heart beat flag position 1, online grade Analysis system detection channel normal operating conditions flag bit 1, head grade measured value 0.55%, concentrate grade measured value 16.7%, tailings grade measured value 0.09%.
Step 2, the data validity for judging foam flow rate measurements and online grade measured value.
Communicating heart beat flag position according to froth images analysis system is 1, judges foam flow rate measurements for valid data.
It is 1 according to online grade analysis system communication heart beat flag position, and online grade analysis system detection runner is normal Working condition flag bit is 1, judges online grade measured value for valid data.
Step 3, according to head grade measured value 0.7%, concentration ratio setting value 30, the concentrate grade technique upper limit 21%, essence Mine grade technique lower limit 17%, is automatically adjusted concentrate grade control range setting value.
Specifically, due to 0.55% × 30=16.5%, it is less than concentrate grade technique lower limit 17%, so concentrate grade Setting value is equal to 17.
Step 4, the variation tendency for determining concentrate grade, tailings grade and foam flow velocity.
First according to current time concentrate grade measured value 16.7%, last moment concentrate grade measured value 17.3%, and Accumulated change amount -0.2%, is computed 16.7%-17.3%-0.2%=-0.8%, is less than concentrate grade variable quantity threshold value 0.5%, therefore assert that concentrate grade variation tendency is decline.
Same mode is available, and tailings grade variation tendency is to stablize, and foam change in flow trend is to stablize.
Step 5, according to the deviation of the on-line measurement value and target grade setting value of flotation flowsheet concentrate and tailings grade and Variation tendency carries out Automatic Optimal adjustment to roughing operation yield setting value (i.e. foam flow rate setpoint).
Detailed process are as follows: according to concentrate grade measured value 16.7%- concentrate grade setting value 17%=-0.3, being less than allows Control deviation -0.2, and concentrate grade is in downward trend, and tailings grade measured value 0.09% is less than tailings grade setting value 0.14%, and when tailings grade is in downward trend (not rising), foam flow rate setpoint variable quantity=(concentrate grade is surveyed Magnitude 16.7%- concentrate grade setting value 17%) the strong control coefrficient 300=-9 of *, i.e. foam flow rate setpoint reduction 9, You Shangyi Moment foam flow rate setpoint 50, becomes 41.
The deviation and variation tendency of step 6, foam flow rate measurements and setting value control rule by yield stable and realize To the adjust automatically of roughing flotation device level set value.
Detailed process are as follows: setting value 41=8.5 is surveyed according to foam flow rate measurements 49.5- foam flow velocity, greater than allowing to control Deviation 2 processed, and foam change in flow trend is flotation device level set value variable quantity=(foam flow rate setpoint 41- when stablizing Foam flow rate measurements 49.5) 1.25 ≈ -11 of * weak domination coefficient;I.e. flotation device level set value reduces 11, is floated by last moment Machine level set value 260 is selected, becomes 249.
According to above-mentioned process, automated system is in time adjusted the level set value of roughing flotation device, is had Effect avoid because operator discovery not in time caused by concentrate product it is not up to standard, have very much side to flotation production target is stablized It helps.
It is illustrated in figure 2 bent using flotation flowsheet yield and concentrate grade variation in 8 hours before example method of the present invention Line schematic diagram is illustrated in figure 3 bent using flotation flowsheet yield and concentrate grade variation in 8 hours after example method of the present invention Line schematic diagram, by the two compares: before using this method, concentrate grade average value is 20.37 in 8 hours, standard deviation It is 1.78;After using this method, concentrate grade average value is 21.88 in 8 hours, standard deviation 0.87.It can be seen that concentrate Average grade and fluctuation situation be significantly improved.
In conclusion method provided by the invention has the advantage that
1, by the liquid level of automatic adjustment flotation device, the yield stable control based on flotation froth flow rate detection is realized, The stabilization that ensure that flotation yield effectively reduces flotation device and emits the unusual service conditions odds such as slot, deep gouge.
2, by automatic adjustment flotation key operation yield setting value, the flotation flowsheet based on the detection of online grade is realized Yield optimal control effectively reduces the fluctuation of concentrate grade and flotation recovery rate, it is ensured that flotation flowsheet is lasting, efficient, steady Fixed operation.
3, realtime control is high, by analyzing online Grade change trend, realizes the real-time dynamic of production target State is adjusted, and greatly reduces manual operation intensity.
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.
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 flotation flowsheet yield optimal control method, which is characterized in that the described method includes:
Step 1, the flotation device level measurement in acquisition flotation flowsheet key operation in real time, flotation column level measurement, flotation Foam flow rate measurements and online grade measured value;
Step 2, the data validity for determining acquired flotation froth flow rate measurements and online grade measured value, if discovery is deposited In invalid data, then control system output valve remains unchanged, and provides warning note;
Step 3, according to head grade measured value and concentration ratio setting value, concentrate grade target control range is adjusted automatically It is whole;
Step 4, variable quantity and threshold value by recording flotation froth flow rate measurements and online grade measured value in a period of time Size, to determine the variation tendency of concentrate grade, tailings grade and foam flow velocity;
Step 5, according to concentrate grade, the deviation and variation tendency of the on-line measurement value of tailings grade and setting value, pass through yield Optimal control rule is automatically adjusted the yield setting value in flotation flowsheet key operation;
Step 6, according to the deviation and variation tendency of foam flow rate measurements and setting value, pass through yield stable control rule and realize To the adjust automatically of floatation equipment level set value, to guarantee that actual yield is consistent with desired yield.
2. flotation flowsheet yield optimal control method according to claim 1, which is characterized in that in step 1, the flotation Process key operation includes: diffeential floatation operation, roughing operation, separation roughing operation and selected operation.
3. flotation flowsheet yield optimal control method according to claim 1, which is characterized in that in step 2, the determination The process of the data validity of acquired flotation froth flow rate measurements and online grade measured value specifically:
The communication heart beat flag position of froth images analysis system is judged first, when the communication heart beat flag position is 0, Assert that acquired flotation froth flow rate measurements are invalid;
The communication heart beat flag position to online grade analysis system and detection channel normal operating conditions flag bit are sentenced again It is disconnected, when the communication heart beat flag position is 0 or the detection channel normal operating conditions flag bit is 0, acquired in identification Online grade measured value it is invalid.
4. flotation flowsheet yield optimal control method according to claim 1, which is characterized in that the process of the step 3 has Body are as follows:
When head grade measured value × concentration ratio setting value >=concentrate grade technique upper limit value, concentrate grade target control setting Value=concentrate grade technique upper limit value;
When concentrate grade technique lower limit value < head grade measured value × concentration ratio setting value < concentrate grade technique upper limit value, Concentrate grade target control setting value=head grade measured value × concentration ratio setting value;
When head grade measured value × concentration ratio setting value≤concentrate grade technique lower limit value, concentrate grade target control setting Value=concentrate grade technique lower limit value.
5. flotation flowsheet yield optimal control method according to claim 1, which is characterized in that in step 4, the determination The process of the variation tendency of concentrate grade, tailings grade and foam flow velocity are as follows:
Calculate concentrate grade measured value GradePV in current measurement cycle ttWith concentrate grade measured value in upper measurement period t-1 GradePVt-1Variable quantity, by the variable quantity and accumulated change amount GradeTotal it is superimposed after and variable quantity threshold value GradeThreshold is compared:
If GradePVt-GradePVt-1+ GradeTotal >=GradeThreshold, then it is assumed that concentrate grade value is rising;
If GradePVt-GradePVt-1+ GradeTotal≤- GradeThreshold, then it is assumed that concentrate grade value is declining;
Otherwise it is assumed that concentrate grade value is in stable state;
Wherein, the calculating of accumulated change amount GradeTotal also with concentrate grade measured value GradePV in t-2 measurement periodt-2 It is related, specifically:
If (GradePVt-GradePVt-1)×(GradePVt-1-GradePVt-2) > 0,
Then GradeTotal=GradePVt-1-GradePVt-2
If (GradePVt-GradePVt-1)×(GradePVt-1-GradePVt-2)≤0,
Then GradeTotal=0;
Further, tailings grade measured value and the judgment principle of foam flow rate measurements variation tendency become with above-mentioned concentrate grade The principle of gesture judgement is identical.
6. flotation flowsheet yield optimal control method according to claim 1, which is characterized in that in steps of 5, the yield Optimal control rule specifically includes:
1. when concentrate grade measured value-concentrate grade setting value < negative permission control deviation, and concentrate grade declines, and tailing product Position measured value≤tailings grade setting value, and when tailings grade does not rise, foam flow rate setpoint variable quantity=(concentrate grade is surveyed Magnitude-concentrate grade setting value) the strong control coefrficient of *;
2. when concentrate grade measured value-concentrate grade setting value < negative permission control deviation, and concentrate grade is stablized, and tailing product Position measured value≤tailings grade setting value, and when tailings grade does not rise, foam flow rate setpoint variable quantity=(concentrate grade is surveyed Magnitude-concentrate grade setting value) * weak domination coefficient;
3. when concentrate grade measured value-concentrate grade setting value < negative permission control deviation, and concentrate grade rises, foam flow velocity Set point change amount=0;
4. allowing control deviation≤concentrate grade measured value-concentrate grade setting value≤0 when negative, and concentrate grade declines, and tail Mine grade measured value≤tailings grade setting value, and when tailings grade does not rise, foam flow rate setpoint variable quantity=(concentrate product Position measured value-concentrate grade setting value) control coefrficient in *;
5. allowing control deviation≤concentrate grade measured value-concentrate grade setting value≤just to allow control deviation, and concentrate when negative When grade is stablized, foam flow rate setpoint variable quantity=0;
6. 0≤concentrate grade measured value ,-concentrate grade setting value≤just allows control deviation, and concentrate grade rises, and tailing When grade measured value > tailings grade setting value or tailings grade rise, foam flow rate setpoint variable quantity=(concentrate grade is surveyed Magnitude-concentrate grade setting value) control coefrficient in *;
7. when concentrate grade measured value-concentrate grade setting value > just allows control deviation, and when concentrate grade decline, foam stream Fast set point change amount=0;
8. when concentrate grade measured value-concentrate grade setting value > just allows control deviation, and concentrate grade is stablized, and tailing product When position measured value > tailings grade setting value or tailings grade rise, foam flow rate setpoint variable quantity=(concentrate grade measurement Value-concentrate grade setting value) * weak domination coefficient;
9. when concentrate grade measured value-concentrate grade setting value > just allows control deviation, and concentrate grade rises, and tailing product When position measured value > tailings grade setting value or tailings grade rise, foam flow rate setpoint variable quantity=(concentrate grade measurement Value-concentrate grade setting value) the strong control coefrficient of *.
7. flotation flowsheet yield optimal control method according to claim 1, which is characterized in that in step 6, the yield Stability contorting rule specifically includes:
1. when foam flow rate measurements-foam flow velocity surveys setting value < negative permission control deviation, and when the decline of foam flow velocity, flotation Machine level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) strong control coefrficient of *;
2. when foam flow rate measurements-foam flow velocity surveys setting value < negative permission control deviation, and when foam flow speed stability, flotation Machine level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) * weak domination coefficient;
3. when foam flow rate measurements-foam flow velocity surveys setting value < negative permission control deviation, and when the rising of foam flow velocity, flotation Machine level set value variable quantity=0;
4. allowing control deviation≤when foam flow rate measurements-foam flow velocity surveys setting value≤0 when negative, and foam flow velocity declines When, control coefrficient in flotation device level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) *;
5. allow control deviation≤- foam flow velocity surveys setting value≤just allows control deviation when foam flow rate measurements when negative, and When foam flow speed stability, flotation device level set value variable quantity=0;
6. when 0≤when foam flow rate measurements ,-foam flow velocity surveys setting value≤just allows control deviation, and foam flow velocity rises When, control coefrficient in flotation device level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) *;
7. surveying setting value > when foam flow rate measurements-foam flow velocity just allows control deviation, and when the decline of foam flow velocity, flotation Machine level set value variable quantity=0;
8. surveying setting value > when foam flow rate measurements-foam flow velocity just allows control deviation, and when foam flow speed stability, flotation Machine level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) * weak domination coefficient;
9. surveying setting value > when foam flow rate measurements-foam flow velocity just allows control deviation, and when the rising of foam flow velocity, flotation Machine level set value variable quantity=(foam flow rate setpoint-foam flow rate measurements) strong control coefrficient of *.
CN201910531485.XA 2019-06-19 2019-06-19 Flotation process yield optimization control method Active CN110193428B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910531485.XA CN110193428B (en) 2019-06-19 2019-06-19 Flotation process yield optimization control method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910531485.XA CN110193428B (en) 2019-06-19 2019-06-19 Flotation process yield optimization control method

Publications (2)

Publication Number Publication Date
CN110193428A true CN110193428A (en) 2019-09-03
CN110193428B CN110193428B (en) 2021-04-30

Family

ID=67754845

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910531485.XA Active CN110193428B (en) 2019-06-19 2019-06-19 Flotation process yield optimization control method

Country Status (1)

Country Link
CN (1) CN110193428B (en)

Cited By (7)

* Cited by examiner, † Cited by third party
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
CN112237986A (en) * 2020-11-12 2021-01-19 力上资源科技开发有限公司 Mineral flotation process
CN112517248A (en) * 2020-10-29 2021-03-19 宜春钽铌矿有限公司 Intelligent control method for liquid level of lepidolite flotation system
CN112588445A (en) * 2020-10-09 2021-04-02 太原钢铁(集团)有限公司 Operating method for stabilizing reverse flotation production
CN113500014A (en) * 2021-07-08 2021-10-15 湖州霍里思特智能科技有限公司 Method and system for intelligently sorting based on dynamic adjustment of threshold
CN114653485A (en) * 2022-03-18 2022-06-24 云南华迅达智能科技有限公司 Flotation process fuzzy control method based on foam flow velocity
CN116586199A (en) * 2023-07-17 2023-08-15 山东九曲圣基新型建材有限公司 Flotation control system for gold tailing treatment

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103301954A (en) * 2012-09-01 2013-09-18 刘广生 Method for controlling concentrate foam scrapping amount in flotation tank
CN103941701A (en) * 2014-04-29 2014-07-23 东北大学 System and method for controlling operation of flotation industrial process under dual-network environment
CN104923411A (en) * 2015-07-06 2015-09-23 中国黄金集团内蒙古矿业有限公司 Bulk flotation yield control system and method
CN105022302A (en) * 2015-08-11 2015-11-04 中国黄金集团内蒙古矿业有限公司 Mixed concentration grade control system and control method
CN204974213U (en) * 2015-07-06 2016-01-20 中国黄金集团内蒙古矿业有限公司 Bulk flotation productivity control system
CN205507563U (en) * 2016-03-16 2016-08-24 甘肃酒钢集团宏兴钢铁股份有限公司 Flotation cell liquid level automatic control device
CN108519770A (en) * 2018-04-27 2018-09-11 东北大学 A kind of experiment porch of floatation process operation control
CN108855631A (en) * 2018-06-20 2018-11-23 北京矿冶科技集团有限公司 A kind of flotation device yield control device based on froth images analyzer
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

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103301954A (en) * 2012-09-01 2013-09-18 刘广生 Method for controlling concentrate foam scrapping amount in flotation tank
CN103941701A (en) * 2014-04-29 2014-07-23 东北大学 System and method for controlling operation of flotation industrial process under dual-network environment
CN104923411A (en) * 2015-07-06 2015-09-23 中国黄金集团内蒙古矿业有限公司 Bulk flotation yield control system and method
CN204974213U (en) * 2015-07-06 2016-01-20 中国黄金集团内蒙古矿业有限公司 Bulk flotation productivity control system
CN105022302A (en) * 2015-08-11 2015-11-04 中国黄金集团内蒙古矿业有限公司 Mixed concentration grade control system and control method
CN205507563U (en) * 2016-03-16 2016-08-24 甘肃酒钢集团宏兴钢铁股份有限公司 Flotation cell liquid level automatic control device
CN108519770A (en) * 2018-04-27 2018-09-11 东北大学 A kind of experiment porch of floatation process operation control
CN108855631A (en) * 2018-06-20 2018-11-23 北京矿冶科技集团有限公司 A kind of flotation device yield control device based on froth images analyzer
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

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
孙静等: "基于泡沫、品位分析的浮选优化控制", 《现代矿业》 *

Cited By (10)

* Cited by examiner, † Cited by third party
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
CN112588445A (en) * 2020-10-09 2021-04-02 太原钢铁(集团)有限公司 Operating method for stabilizing reverse flotation production
CN112517248A (en) * 2020-10-29 2021-03-19 宜春钽铌矿有限公司 Intelligent control method for liquid level of lepidolite flotation system
CN112237986A (en) * 2020-11-12 2021-01-19 力上资源科技开发有限公司 Mineral flotation process
CN113500014A (en) * 2021-07-08 2021-10-15 湖州霍里思特智能科技有限公司 Method and system for intelligently sorting based on dynamic adjustment of threshold
CN114653485A (en) * 2022-03-18 2022-06-24 云南华迅达智能科技有限公司 Flotation process fuzzy control method based on foam flow velocity
CN114653485B (en) * 2022-03-18 2023-09-26 云南华迅达智能科技有限公司 Flotation process fuzzy control method based on foam flow velocity
CN116586199A (en) * 2023-07-17 2023-08-15 山东九曲圣基新型建材有限公司 Flotation control system for gold tailing treatment
CN116586199B (en) * 2023-07-17 2023-09-19 山东九曲圣基新型建材有限公司 Flotation control system for gold tailing treatment

Also Published As

Publication number Publication date
CN110193428B (en) 2021-04-30

Similar Documents

Publication Publication Date Title
CN110193428A (en) A kind of flotation flowsheet yield optimal control method
CN104408724A (en) Depth information method and system for monitoring liquid level and recognizing working condition of foam flotation
CN109446920B (en) Urban track traffic passenger&#39;s degree of crowding detection method based on convolutional neural networks
CN108968811A (en) A kind of object identification method and system of sweeping robot
CN108647722B (en) Zinc ore grade soft measurement method based on process size characteristics
CN102680050B (en) Sulfur flotation liquid level measuring method based on foam image characteristic and air volume
CN108931621B (en) Zinc ore grade soft measurement method based on process texture characteristics
CN103675791A (en) Method for recognizing cloud based on mie-scattering laser radar with equalized value distribution
CN109002862A (en) A kind of flexible measurement method neural network based and system towards copper ore floatation machine
CN114841453A (en) Clean coal ash content prediction method in flotation process
CN109147322B (en) Multi-source data self-adaptive fusion method in urban traffic big data processing
CN111079783A (en) Method for identifying stratum lithology parameters based on multi-core ensemble learning
CN101718527A (en) Method for calculating length of dry sand of tailings reservoir based on image recognition
CN110728676B (en) Texture feature measurement method based on sliding window algorithm
CN107478287B (en) Detection method for determining optimal flotation machine inflation recovery factor beta
CN110728677B (en) Texture roughness defining method based on sliding window algorithm
CN106991817A (en) Multistage road network road section traffic volume capacity determining methods
CN117034601A (en) Soft measurement modeling method for overflow granularity in multi-station ore dressing process
CN114768987B (en) DCS-based coal preparation plant dense medium ash content control method and system
CN111340908B (en) Rail electronic map generation method
CN104635770B (en) Classifier control method based on pulp pump sump liquid level as main control parameter
CN113686338A (en) Route optimization method based on inertial navigation equipment
CN112237089A (en) Online prediction device and method for feeding amount of combine harvester
CN113031598B (en) Path tracking obstacle avoidance guidance method and system
CN112517248B (en) Intelligent control method for liquid level of lepidolite flotation system

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