CN110004465A - A kind of intelligent control method and system of multi-chamber electrolysis slot production metallic aluminium - Google Patents

A kind of intelligent control method and system of multi-chamber electrolysis slot production metallic aluminium Download PDF

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CN110004465A
CN110004465A CN201910438588.1A CN201910438588A CN110004465A CN 110004465 A CN110004465 A CN 110004465A CN 201910438588 A CN201910438588 A CN 201910438588A CN 110004465 A CN110004465 A CN 110004465A
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tank house
current
aluminium
control
instruction
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CN110004465B (en
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张红亮
王佳成
李劼
李天爽
国辉
李家琦
孙珂娜
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Central South University
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Central South University
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    • CCHEMISTRY; METALLURGY
    • C25ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
    • C25CPROCESSES FOR THE ELECTROLYTIC PRODUCTION, RECOVERY OR REFINING OF METALS; APPARATUS THEREFOR
    • C25C3/00Electrolytic production, recovery or refining of metals by electrolysis of melts
    • C25C3/06Electrolytic production, recovery or refining of metals by electrolysis of melts of aluminium
    • C25C3/20Automatic control or regulation of cells

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  • Engineering & Computer Science (AREA)
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Abstract

The invention discloses the intelligent control methods and system of a kind of multi-chamber electrolysis slot production metallic aluminium, and this method comprises the following steps: voltage, the electric current of each tank house in acquisition multi-chamber electrolysis slot, electric current includes anode current and cathode current;The instruction of the alumina blanking rate control in each tank house and/or anode mix addition control instruction are generated according to the voltage of acquisition, electric current;The instruction of alumina blanking rate control is generated according to the electric current of tank house, alumina concentration and alumina blanking speed control rule, anode mix addition control instruction is to add rule according to the voltage of each tank house, electric current, alumina concentration and anode mix to generate, and controls the alumina blanking rate of each tank house, anode mix adding rate according to the instruction of alumina blanking rate control, anode mix addition control instruction.The method achieve the intelligent controls of multi-chamber electrolysis slot by the present invention, especially in alumina blanking rate and anode mix adding rate.

Description

A kind of intelligent control method and system of multi-chamber electrolysis slot production metallic aluminium
Technical field
The invention belongs to aluminium cell technical fields, and in particular to a kind of intelligent control of multi-chamber electrolysis slot production metallic aluminium Method and system.
Background technique
Hall-Ai Lutefa (Hall-H é roult) aluminum electrolysis process is always the unique method of industrial aluminium metallurgy, core Reaction carries out in aluminium cell.Current main-stream electrolytic cell is all large-scale or super-huge prebaked cell for aluminum-reduction, although such The capacity of electrolytic cell has accomplished 600kA, but the type electrolytic cell there are utilization rate of electrical it is lower, gas collection effect is poor the defects of, In order to realize the further depth energy saving of aluminium electroloysis, the multi-chamber aluminum electrolytic cell of ultralow pole span continuous electrolysis is had devised.
Multi-chamber aluminum electrolytic cell have huge power savings advantages, can continuous electrolysis production, make slot condition stable for extended periods of time, Totally-enclosed system can be realized to flue gas and the recycling of waste heat multistage, and safeguards and be easy in production process, and cost is relatively low, to aluminium electricity The depth energy saving of solution and environmental protection are capable of providing important leverage.But existing aluminium cell control technology is to be directed to single chamber aluminium cell, And it is controlled based on the estimation of single synthesis cell resistance signal and alumina concentration, but actual process failure In, the electric current and voltage of electrolytic cell can produce a very large impact electrolytic cell, therefore existing be controlled according to single-element The mode of system is not able to satisfy actual demand, also and bad to the compatibility of multi-chamber electrolysis slot.In addition, the technique of existing aluminium electrolysis enterprise Substantially based on empirical, this also counteracts the succession of art electrolysis cells technology for technical management, accuracy and efficiency all no To guarantee.
In conclusion the reliability of target existing aluminium cell control technology need to be improved, at the same at present there has been no Scholar carried out in-depth study to multi-chamber aluminum electrolytic cell control technology.
Summary of the invention
The object of the present invention is to provide the intelligent control methods and system of a kind of multi-chamber electrolysis slot production metallic aluminium, realize In the intelligent control of multi-chamber electrolysis slot, especially put forward to refer to suitable for the alumina blanking rate control of multi-chamber electrolysis slot It enables, anode mix addition control instruction, considers the electric current and/or voltage of each tank house, and obtain under aluminium oxide by research Expect speed control rule, anode mix addition rule, realizes the reliable calculating of rate, solve empirical management bring disadvantage End.
On the one hand, the intelligent control method of a kind of multi-chamber electrolysis slot production metallic aluminium provided by the invention, including walk as follows It is rapid:
S1: voltage, the electric current of each tank house in acquisition multi-chamber electrolysis slot, the electric current include anode current and cathode electricity Stream;
S2: the instruction of the alumina blanking rate control in each tank house is generated according to the voltage of step S1 acquisition, electric current And/or anode mix adds control instruction;
Wherein, the alumina blanking rate control instruction is the electric current, alumina concentration and oxidation according to tank house Aluminium blanking velocity control rules, the alumina blanking speed control rule are as follows: calculate oxygen according to following regression function Change aluminium blanking predetermined speed:
In formula, f (x) is the alumina blanking rate of prediction, and l1 is that aluminium oxide is total from data sampling point in the quasi- period, institute State aluminium oxide from the quasi- period be the previous alumina blanking moment to current predictive the alumina blanking moment interval period or Every the partial period of period, αiIt is aluminium oxide from the real-time current for intending tank house at ith sample point in the period, is anode current With the average value of cathode current,Intend the average current of period each sampled point real-time current certainly for aluminium oxide,AndRespectively For the aluminium oxide local concentration in the aluminium oxide certainly quasi- period when ith sample point sampling at current acquisition point side two, yiTo add Fitting constant is weighed,For from the higher order functionality of setting, b is constant;
The anode mix addition control instruction is according to the voltage of each tank house, electric current, alumina concentration and anode Paste addition rule generates, the anode mix addition rule are as follows: calculate alumina blanking predetermined speed according to following regression function:
In formula, g (x) is the anode mix blanking rate of prediction, and l2 is that anode mix is total from data sampling point in the quasi- period, institute State anode mix from the quasi- period be the previous anode mix blanking moment to current predictive the anode mix blanking moment interval period or Every the partial period of period, βi、viFor the real-time current of tank house, in real time electricity at ith sample point in the anode mix certainly quasi- period Pressure, real-time current are the average value of anode current and cathode current,For the certainly quasi- period each sampled point real-time current of anode mix Average current,Intend the average voltage of period each sampled point real-time voltage certainly for anode mix,AndRespectively aoxidize Aluminium oxide local concentration in the aluminium certainly quasi- period when ith sample point sampling at current acquisition point side two, YiFor weighted fitting Constant, n are constant;
S3: each tank house is controlled according to alumina blanking rate control instruction, anode mix addition control instruction Alumina blanking rate, anode mix adding rate.
Further preferably, weighted fitting constant y in the alumina blanking speed control ruleiIt is quasi- using following rule Symphysis at:
Weighted fitting constant Y in the anode mix addition ruleiIt is to be generated using following rule fitting:
Further preferably, the real time temperature of each tank house is also acquired in step S1, and before step S3 execution, is also wrapped It includes: Simulation Control being carried out to multi-chamber electrolysis slot according to the control instruction of step S2, identifies the steady of electrolytic cell further according to simulation result Determine state, if unstable, generates electrolytic cell abnormal prompt or prevention operational order;
Wherein, response electrolyte real time temperature is higher than 960 DEG C or is lower than 940 DEG C, the instruction of generation electrolytic cell abnormal prompt; There is size of current that electric current increases or reduces suddenly when within 30% in response electrolytic cell, generates alarm command;Work as electrolytic cell When the size of current that appearance electric current increases or reduces suddenly is beyond 30%, the operational order of automatic trip power-off is generated.
It further preferably, further include the Controlled exit Aluminium instruction generated according to the electric current of tank house in each tank house, and root It is instructed according to Controlled exit Aluminium and carries out Controlled exit Aluminium;
The Controlled exit Aluminium instruction is the electric current and aluminum yield control rules according to tank house, the aluminum yield control System rule are as follows: calculate the aluminium yield for adding up theoretical electrolysis in prefixed time interval, and aluminum yield is generated according to aluminium yield;
P=0.3356I η t
In formula, P is the aluminium yield for adding up theoretical electrolysis in t time interval, and I is t time interval inner cathode current average, Unit is A;η is the current efficiency of electrolytic process, unit %.
It further preferably, further include acquiring the real time temperature of each tank house, and according to the real time temperature of each tank house It generates temperature control instruction and temperature control is carried out according to temperature control instruction;
The temperature control instruction is the real time temperature and temperature control rules according to tank house, the temperature Control rule are as follows: the real time temperature of tank house increases or decreases villiaumite and add when the degree of superheat deviates preset industrial design threshold value Dosage controls molecular proportion in tank house between 2.3-2.4.
On the other hand, the present invention provides a kind of systems based on the above method, including the distribution successively communicated to connect Data sampling unit, slot condition analytical unit and execution unit;
Wherein, the distributed data sampling unit includes the sampling element of each tank house, for acquiring each electrolysis The data of room, the data of acquisition include at least voltage, the electric current of each tank house;
The slot condition analytical unit, for generating control instruction according to the collected data, the control instruction is included at least The instruction of alumina blanking rate control, anode mix add control instruction;
The execution unit, the control instruction executive control operation for being generated according to slot condition analytical unit.
Further preferably, the sampling element of each tank house includes electrolyte temperature measurement module and electric signal sampling module, institute Stating electrolyte temperature measurement module is technical grade thermocouple.
Further preferably, the slot condition analytical unit includes real-time simulation module and exception processing module;
The real-time simulation module is used to carry out controlled simulation to each tank house according to generation control instruction, and defeated Simulation result identifies the stable state of electrolytic cell out;
The exception processing module generates electrolytic cell abnormal prompt or prevention operation for responding electrolytic cell unstable state Instruction.
Further preferably, the channel-shaped condition analytical unit includes blanking control module, anode mix control module, temperature control Module, Controlled exit Aluminium module;
The blanking control module, for generating the instruction of the alumina blanking rate control in each tank house;
The anode mix control module, for generating the addition control instruction of the anode mix in each tank house;
The temperature control modules, for generating the temperature control instruction in each tank house;
The Controlled exit Aluminium module, for generating the instruction of the Controlled exit Aluminium in each tank house.
It further preferably, further include the database communicated to connect with distributed data sampling unit, slot condition analytical unit Unit, data pre-processing unit, for storing data, the data pre-processing unit is used for acquisition the Database Unit Initial data is pre-processed.
Beneficial effect
The intelligent control method and system of a kind of multi-chamber electrolysis slot production metallic aluminium provided by the invention, realize more The intelligent control of room electrolytic cell especially puts forward suitable for the alumina blanking rate control instruction of multi-chamber electrolysis slot, anode Paste addition control instruction considers the electric current and/or voltage of each tank house, and obtains alumina blanking speed by research Control rule, anode mix addition rule, realize the reliable calculating of rate, solve the drawbacks of empirical management is brought.Especially Be anode mix addition rule be the present invention be directed to multi-chamber aluminum electrolytic cell soberberg anode mode set by, and in the prior art there are no Any related record.Present invention automation to multi-chamber aluminum electrolytic cell production process operational administrative simultaneously, through the invention can be with The operator at scene is liberated, realizes the comprehensive Digital Control of abnormal conditions in multi-chamber aluminum electrolytic cell production process.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of multi-chamber aluminum electrolytic cell intelligence control system provided by the invention;
Fig. 2 is a kind of structural schematic diagram for multi-chamber aluminum electrolytic cell intelligence control system that case study on implementation of the present invention provides;
Fig. 3 is distributed data sampling unit in a kind of multi-chamber aluminum electrolytic cell intelligence control system of case offer of the present invention Structural schematic diagram.
Specific embodiment
Below in conjunction with embodiment, the present invention is described further.
As shown in Figure 1, a kind of intelligence control system packet of multi-chamber electrolysis slot production metallic aluminium provided in an embodiment of the present invention Include distributed data sampling unit 10, data pre-processing unit 20, slot condition analytical unit 30, execution unit 40 and Database Unit 50.Wherein, distributed data sampling unit 10 is connect with data pre-processing unit 20, Database Unit 50, slot condition analytical unit 30 communicate to connect with data pre-processing unit 20, Database Unit 50, execution unit 40, data pre-processing unit 20 and database Unit 50 communicates to connect.Wherein, being established by transmission control protocol/Internet Protocol (TCP/IP) between each unit Communication connection.
As shown in Fig. 2, distributed data sampling unit 10 includes the sampling element of each tank house, for acquiring each electricity The data of room are solved, the data of acquisition include the voltage, electric current, real time temperature of each tank house.Wherein, sampling element includes electrolysis Matter temperature measurement module 11, electric signal sampling module 12, electrolyte temperature measurement module 11 are used for the temperature of real-time measurement electrolytic cell Inner electrolysis matter Degree, the preferred technical grade thermocouple of the embodiment of the present invention, as every tank house configure a pair of of thermocouple measurement partial electrolysis matter temperature Degree.Electric signal sampling module 12 uses voltage conventional in the prior art for acquiring voltage and current data in electrolytic cell It is acquired with current sampling device, every tank house all places a set of voltage and current sampling apparatus, and wherein current sample need to be from sun Acquisition device is accessed in extreme mouth and cathode port, and is exported respectively with anode current and cathode current signal.
Data pre-processing unit 20 is for pre-processing the initial data of acquisition comprising filtering and noise reduction sound and/or Abnormal data elimination processing.Data pre-processing unit 20 includes data management module 21, display module 22, data management module 21 For carrying out data prediction, display module 22 is for the data information in display system.
Slot condition analytical unit 30 is for generating control instruction (being realized by programmable logic controller (PLC) PLC), the present embodiment Slot condition analytical unit 30 include blanking control module 31, Controlled exit Aluminium module 32, anode mix control module 33, temperature control mould Block 34, real-time simulation module 35, exception processing module 36.Wherein, blanking control module 31 is for generating in each tank house The instruction of alumina blanking rate control;Controlled exit Aluminium module 32 is used to generate the Controlled exit Aluminium instruction in each tank house.Anode Paste control module 33 is used to generate the anode mix addition control instruction in each tank house.Temperature control modules 34 are every for generating Temperature control instruction in a tank house.Real-time simulation module 35 is used to imitate each tank house according to generation control instruction True Control experiment, and simulation result is exported to identify the stable state of electrolytic cell, in conjunction with built-in industry pattern, build automatically virtual Multi-chamber aluminum electrolytic cell carries out dynamic real-time simulation, judges each tank house slot condition stable case.Exception processing module 36 is for ringing Electrolytic cell unstable state is answered to generate electrolytic cell abnormal prompt or prevention operational order.
Execution unit 40 includes hopper execution module 41, villiaumite adding module 42, anode mix adding module 43, goes out aluminum modules 44 and emergency trip module 45, wherein hopper execution module 41 is used for the blanking rate generated according to the slot condition analytical unit Control instruction adjusts alumina blanking rate, executes alumina blanking operation.Villiaumite adding module 42 is used to be analyzed according to slot condition The instruction of alumina blanking rate control and temperature control instruction that unit generates, add in conjunction with factory's actual set villiaumite and mark Standard, mating generation villiaumite addition instruction execute villiaumite addition operation.Anode mix adding module 43 is used to be analyzed according to the slot condition The anode mix that unit generates adds control instruction, executes anode mix addition operation by closed anode mix automatic blanking pipeline.Out The Controlled exit Aluminium that aluminum modules 44 are used to be generated according to the slot condition analytical unit instructs, wherein factory can be by theoretical aluminum yield P value Aluminium is carried out out from quasi- proper ratio, and executes out aluminium operation, as vacuum ladle operates.And emergency trip module 45 is used for according to institute The abnormality processing control instruction of slot condition analytical unit generation is stated, abnormality processing operation is executed, wherein abnormality processing operation includes mentioning Show manual intervention and tripping power-off etc..
In the embodiment of the present invention, pass through the electrolyte temperature measurement module in multi-chamber aluminum electrolytic cell distributed data sampling unit 10 11 and every tank house Inner electrolysis matter of 12 real-time measurement electrolytic cell of electric signal sampling module temperature and electrolytic cell in voltage and Current data, as shown in Figure 3.Data preprocessing module 21 in data pre-processing unit 20 is by aluminium cell information acquisition unit Collected initial data is filtered denoising and/or abnormal data elimination processing, so that valid data are obtained, display module 22 for all data information in display system.Blanking control module 31 in slot condition analytical unit 30 is according to the electricity of tank house Stream, alumina concentration and alumina blanking speed control rule generate the instruction of alumina blanking rate control;Controlled exit Aluminium mould Block 32 is used to be instructed according to pretreated electrolytic cell currents valid data and aluminum yield control rules Controlled exit Aluminium;Anode Control module 33 is pasted according to the mating life of pretreated bath voltage, electric current, alumina concentration and anode mix addition rule Control instruction is added at anode mix;The temperature control modules 34 are used for warm in real time according to electrolyte in pretreated electrolytic cell Degree evidence and temperature control rules temperature control instruction;Real-time simulation module 35 is transmitted according to data pre-processing unit 20 The data set of each room part tank voltage, electric current and alumina concentration, it is real being placed in internal industrial multi-chamber aluminum electrolytic cell in advance On the basis of the threedimensional model of border, dynamic simulation prediction is carried out.It is real when various process parameters meet production target when slot condition stabilization When emulation module 35 do not make feedback.When simulation result shows that mutation, 35 meeting of real-time simulation module will occur for certain local groove condition The related principle of optimality in exception processing module 36 is called to be prevented in advance.The real-time simulation mould for identification of exception processing module 36 Block 35 treated optimization instruction, and according to abnormality processing rule generate abnormality processing control instruction.Wherein, abnormality processing operates Including prompt manual intervention and tripping power-off.For example response electrolyte real time temperature is higher than 960 DEG C or is lower than 940 DEG C, generation electricity Solve the instruction of slot abnormal prompt;There is size of current that electric current increases or reduces suddenly when within 30% in response electrolytic cell, raw At alarm command;When the size of current that electric current increases or reduces suddenly, which occurs, in electrolytic cell exceeds 30%, it is disconnected to generate automatic trip The operational order of electricity.
The blanking rate control that hopper execution module 41 in execution unit 40 is used to be generated according to the slot condition analytical unit System instruction adjustment blanking rate, executes blanking operation;The blanking speed that villiaumite adding module 42 is generated according to slot condition analytical unit 30 Rate control instruction and temperature control instruction add standard in conjunction with factory's actual set villiaumite, and mating generation villiaumite addition instructs, Execute villiaumite addition operation.The anode mix addition control that anode mix adding module 43 is generated according to the slot condition analytical unit refers to It enables, anode mix addition operation is executed by closed anode mix automatic blanking pipeline;Aluminum modules 44 are used for according to the slot condition point out The Controlled exit Aluminium instruction that unit generates is analysed, aluminium operation is executed out;Emergency trip module 45 is used for according to the slot condition analytical unit The abnormality processing control instruction of generation executes abnormality processing operation, wherein abnormality processing operation includes prompt manual intervention and jump Lock power-off.
Treated in the meeting storing data pretreatment unit 20 of back-end data management module 51 in Database Unit 50 has The operation note executed in the instructions and execution unit 40 that effect data and slot condition analytical unit 30 generate, it is convenient to whole A production process is recorded and is safeguarded.
It should illustrate that above-described embodiment is optimal enforcement example, control system has had both blanking control, anode mix control, gone out Aluminium controls and temperature controlled function, in other feasible embodiments, can have both its multiple or partial function, this hair It is bright to this without specifically limiting, meanwhile, the present invention control system pre-processes initial data, reduce data make an uproar Sound in other feasible embodiments, if not there is the condition, without denoising, also can be achieved on this programme.
A kind of intelligent control method of multi-chamber electrolysis slot production metallic aluminium provided in an embodiment of the present invention, including walk as follows It is rapid:
S1: voltage, electric current, the electrolyte real time temperature of each tank house, the electric current include in acquisition multi-chamber electrolysis slot Anode current and cathode current, voltage are the pressure differences at anode and cathode both ends;
S2: the alumina blanking rate control in each tank house is generated according to the voltage, electric current, temperature of step S1 acquisition Instruction, anode mix addition control instruction, Controlled exit Aluminium instruction, temperature control instruction;
Wherein, the alumina blanking rate control instruction is the electric current, alumina concentration and oxidation according to tank house Aluminium blanking velocity control rules, the alumina blanking speed control rule are as follows: calculate oxygen according to following regression function Change aluminium blanking predetermined speed:
In formula, f (x) is the alumina blanking rate of prediction, and l1 is that aluminium oxide is total from data sampling point in the quasi- period, institute State aluminium oxide from the quasi- period be the previous alumina blanking moment to current predictive the alumina blanking moment interval period or Every the partial period of period, αiIt is aluminium oxide from the real-time current for intending tank house at ith sample point in the period, is anode current With the average value of cathode current,Intend the average current of period each sampled point real-time current certainly for aluminium oxide,AndRespectively For aluminium oxide from the quasi- period when ith sample point sampling at current acquisition point side two aluminium oxide local concentration (space compared with It is small, surrounding any two points), yiFor weighted fitting constant,For from the higher order functionality of setting, b is constant;
Wherein, weighted fitting constant y in the alumina blanking speed control ruleiIt is to utilize following rule fitting life At:
The anode mix addition control instruction is according to the voltage of each tank house, electric current, alumina concentration and anode Paste addition rule generates, the anode mix addition rule are as follows: calculate alumina blanking predetermined speed according to following regression function:
In formula, g (x) is the anode mix blanking rate of prediction, and l2 is that anode mix is total from data sampling point in the quasi- period, institute State anode mix from the quasi- period be the previous anode mix blanking moment to current predictive the anode mix blanking moment interval period or Every the partial period of period, βi、viFor the real-time current of tank house, in real time electricity at ith sample point in the anode mix certainly quasi- period Pressure, real-time current are the average value of anode current and cathode current,For the certainly quasi- period each sampled point real-time current of anode mix Average current,Intend the average voltage of period each sampled point real-time voltage certainly for anode mix,AndRespectively aoxidize Aluminium oxide local concentration in the aluminium certainly quasi- period when ith sample point sampling at current acquisition point side two, YiFor weighted fitting Constant, n are constant;
Wherein, weighted fitting constant Y in anode mix addition ruleiIt is to be generated using following rule fitting:
Controlled exit Aluminium instruction is the electric current and aluminum yield control rules according to tank house, the aluminum yield control rule Then are as follows: calculate the aluminium yield for adding up theoretical electrolysis in prefixed time interval, and aluminum yield is generated according to aluminium yield;
P=0.3356I η t
In formula, P is the aluminium yield for adding up theoretical electrolysis in t time interval, and I is t time interval inner cathode current average, Unit is A;η is the current efficiency of electrolytic process, unit %.
Wherein, factory can carry out out aluminium from quasi- proper ratio by theoretical aluminum yield P value.
Temperature control instruction is the real time temperature and temperature control rules according to tank house, the temperature control Rule are as follows: the real time temperature of tank house increases or decreases villiaumite additive amount when the degree of superheat deviates preset industrial design threshold value So that molecular proportion control is between 2.3-2.4 in tank house.
S3: according to the instruction of alumina blanking rate control, anode mix addition control instruction, Controlled exit Aluminium instruction, temperature control System instruction controls alumina blanking rate, the anode mix adding rate, Controlled exit Aluminium of each tank house, temperature control.
In conclusion the present invention can liberate the operator at scene, realize in production process to blanking, anode mix control System, the comprehensive Digital Control for going out aluminium, abnormal conditions, realize the efficient manless production of multi-chamber aluminum electrolytic cell, and this hair Metal aluminum electrolysis process fully digitalization is formed digitlization aluminium cell by the system of bright offer, realizes multicell aluminium electricity Solve the great leap of slot production process information.
It is emphasized that example of the present invention be it is illustrative, without being restrictive, thus the present invention it is unlimited Example described in specific embodiment, other all obtained according to the technique and scheme of the present invention by those skilled in the art Embodiment does not depart from present inventive concept and range, and whether modification or replacement, also belong to protection model of the invention It encloses.

Claims (10)

1. a kind of intelligent control method of multi-chamber electrolysis slot production metallic aluminium, characterized by the following steps:
S1: voltage, the electric current of each tank house in acquisition multi-chamber electrolysis slot, the electric current includes anode current and cathode current;
S2: according to step S1 acquisition voltage, electric current generate the alumina blanking rate control in each tank house instruction and/or Anode mix adds control instruction;
Wherein, the alumina blanking rate control instruction is under electric current, alumina concentration and aluminium oxide according to tank house Expect that speed control rule generates, the alumina blanking speed control rule are as follows: calculate aluminium oxide according to following regression function Blanking predetermined speed:
In formula, f (x) is the alumina blanking rate of prediction, and l1 is that aluminium oxide is total from data sampling point in the quasi- period, the oxygen When changing interval period or the interval at alumina blanking moment of the aluminium from the quasi- period for the previous alumina blanking moment to current predictive The partial period of section, αiIt is aluminium oxide from the real-time current for intending tank house at ith sample point in the period, is anode current and yin The average value of electrode current,Intend the average current of period each sampled point real-time current certainly for aluminium oxide,AndRespectively oxygen Change aluminium from the aluminium oxide local concentration in the quasi- period when ith sample point sampling at current acquisition point side two, yiIt is quasi- to weight Constant is closed,For from the higher order functionality of setting, b is constant;
The anode mix addition control instruction is added according to the voltage of each tank house, electric current, alumina concentration and anode mix Add regular generation, the anode mix addition rule are as follows: calculate alumina blanking predetermined speed according to following regression function:
In formula, g (x) is the anode mix blanking rate of prediction, and l2 is that anode mix is total from data sampling point in the quasi- period, the sun When the interval period at anode mix blanking moment of the pole paste from the quasi- period for the previous anode mix blanking moment to current predictive or interval The partial period of section, βi、viIt is anode mix from real-time current, the real-time voltage for intending tank house at ith sample point in the period, it is real When electric current be anode current and cathode current average value,For anode mix being averaged from quasi- period each sampled point real-time current Electric current,Intend the average voltage of period each sampled point real-time voltage certainly for anode mix,AndRespectively aluminium oxide is certainly quasi- Aluminium oxide local concentration in period when ith sample point sampling at current acquisition point side two, YiFor weighted fitting constant, n For constant;
S3: each tank house is accordingly controlled according to alumina blanking rate control instruction, anode mix addition control instruction Alumina blanking rate, anode mix adding rate.
2. according to the method described in claim 1, it is characterized by: the alumina blanking speed control rule in weighted fitting Constant yiIt is to be generated using following rule fitting:
Weighted fitting constant Y in the anode mix addition ruleiIt is to be generated using following rule fitting:
3. according to the method described in claim 1, it is characterized by: also acquire the real time temperature of each tank house in step S1, And before step S3 is executed, further includes: Simulation Control is carried out to multi-chamber electrolysis slot according to the control instruction of step S2, further according to imitative True result identifies the stable state of electrolytic cell, if unstable, generates electrolytic cell abnormal prompt or prevention operational order;
Wherein, response electrolyte real time temperature is higher than 960 DEG C or is lower than 940 DEG C, the instruction of generation electrolytic cell abnormal prompt;Response There is size of current that electric current increases or reduces suddenly when within 30% in electrolytic cell, generates alarm command;When electrolytic cell occurs When the size of current that electric current increases or reduces suddenly exceeds 30%, the operational order of automatic trip power-off is generated.
4. according to the method described in claim 1, it is characterized by also including the voltage acquired according to step S1, electric currents to generate Controlled exit Aluminium instruction in each tank house, and instructed according to Controlled exit Aluminium and carry out Controlled exit Aluminium;
The Controlled exit Aluminium instruction is the electric current and aluminum yield control rules according to tank house, the aluminum yield control rule Then are as follows: calculate the aluminium yield for adding up theoretical electrolysis in prefixed time interval, and aluminum yield is generated according to aluminium yield;
P=0.3356I η t
In formula, P is the aluminium yield for adding up theoretical electrolysis in t time interval, and I is t time interval inner cathode current average, unit For A;η is the current efficiency of electrolytic process, unit %.
5. according to the method described in claim 1, it is characterized by also including the real time temperature for acquiring each tank house, and root Temperature control instruction is generated according to the real time temperature of each tank house and temperature control is carried out according to temperature control instruction;
The temperature control instruction is the real time temperature and temperature control rules according to tank house, the temperature control Rule are as follows: the real time temperature of tank house increases or decreases villiaumite additive amount when the degree of superheat deviates preset industrial design threshold value So that molecular proportion control is between 2.3-2.4 in tank house.
6. a kind of system based on any one of claim 1-5 the method, it is characterised in that: including point successively communicated to connect Cloth data sampling unit, slot condition analytical unit and execution unit;
Wherein, the distributed data sampling unit includes the sampling element of each tank house, for acquiring each tank house Data, the data of acquisition include at least voltage, the electric current of each tank house;
The slot condition analytical unit, for generating control instruction according to the collected data, the control instruction includes at least oxidation The instruction of aluminium blanking rate control, anode mix add control instruction;
The execution unit, the control instruction executive control operation for being generated according to slot condition analytical unit.
7. system according to claim 6, it is characterised in that: the sampling element of each tank house includes electrolyte thermometric mould Block and electric signal sampling module, the electrolyte temperature measurement module are technical grade thermocouple.
8. system according to claim 6, it is characterised in that: the slot condition analytical unit includes real-time simulation module and different Normal processing module;
The real-time simulation module is used to carry out controlled simulation to each tank house according to generation control instruction, and exports imitative True result identifies the stable state of electrolytic cell;
The exception processing module generates electrolytic cell abnormal prompt or prevention operational order for responding electrolytic cell unstable state.
9. system according to claim 6, it is characterised in that: the channel-shaped condition analytical unit include blanking control module, Anode mix control module, temperature control modules, Controlled exit Aluminium module;
The blanking control module, for generating the instruction of the alumina blanking rate control in each tank house;
The anode mix control module, for generating the addition control instruction of the anode mix in each tank house;
The temperature control modules, for generating the temperature control instruction in each tank house;
The Controlled exit Aluminium module, for generating the instruction of the Controlled exit Aluminium in each tank house.
10. system according to claim 6, it is characterised in that: further include being analyzed with distributed data sampling unit, slot condition Database Unit that unit communicates to connect, data pre-processing unit, the Database Unit for storing data, the data Pretreatment unit is for pre-processing the initial data of acquisition.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112725840A (en) * 2020-12-29 2021-04-30 北方工业大学 Digital twin control system of aluminum electrolysis cell

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4035251A (en) * 1968-08-21 1977-07-12 Reynolds Metals Company Method and apparatus for reduction cell control
AU2003100454A4 (en) * 2002-07-05 2003-07-24 Otkrytoe Aktsionernoe Obschestvo "Vserossiisky Aljuminievo-Magnievy Institut" Method for controlling electrolytic production of aluminum
CN101275249A (en) * 2007-12-20 2008-10-01 中国铝业股份有限公司 Method for real-time detection of concentration of aluminum oxide in aluminum cell
CN102230192A (en) * 2011-06-20 2011-11-02 东北大学 On-line identification method for concentration signal of aluminum oxide in electrolyte in aluminum electrolysis cell
CN102400182A (en) * 2011-11-22 2012-04-04 中国铝业股份有限公司 Method for controlling stability and uniformity of aluminum oxide concentration in aluminum electrolysis cell
CN109183074A (en) * 2018-11-02 2019-01-11 中南大学 A kind of aluminum cell supplying method based on anode change cycle

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4035251A (en) * 1968-08-21 1977-07-12 Reynolds Metals Company Method and apparatus for reduction cell control
AU2003100454A4 (en) * 2002-07-05 2003-07-24 Otkrytoe Aktsionernoe Obschestvo "Vserossiisky Aljuminievo-Magnievy Institut" Method for controlling electrolytic production of aluminum
CN101275249A (en) * 2007-12-20 2008-10-01 中国铝业股份有限公司 Method for real-time detection of concentration of aluminum oxide in aluminum cell
CN102230192A (en) * 2011-06-20 2011-11-02 东北大学 On-line identification method for concentration signal of aluminum oxide in electrolyte in aluminum electrolysis cell
CN102400182A (en) * 2011-11-22 2012-04-04 中国铝业股份有限公司 Method for controlling stability and uniformity of aluminum oxide concentration in aluminum electrolysis cell
CN109183074A (en) * 2018-11-02 2019-01-11 中南大学 A kind of aluminum cell supplying method based on anode change cycle

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
江南等: "500 kA 级铝电槽内氧化铝浓度场的数值模拟", 《中国有色金属学报》 *
郭根: "基于LSSVM的铝电解过程氧化铝浓度软测量建模研究", 《中南大学硕士学位论文》 *
阎纲: "基于最小二乘支持向量机的铝电解过程建模与控制研究", 《中南大学博士学位论文》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112725840A (en) * 2020-12-29 2021-04-30 北方工业大学 Digital twin control system of aluminum electrolysis cell
WO2022142126A1 (en) * 2020-12-29 2022-07-07 北方工业大学 Digital twin control system for aluminum electrolysis cell

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