CN110357136A - A kind of aluminium oxide calcining control method and equipment - Google Patents
A kind of aluminium oxide calcining control method and equipment Download PDFInfo
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- CN110357136A CN110357136A CN201910647098.2A CN201910647098A CN110357136A CN 110357136 A CN110357136 A CN 110357136A CN 201910647098 A CN201910647098 A CN 201910647098A CN 110357136 A CN110357136 A CN 110357136A
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- C—CHEMISTRY; METALLURGY
- C01—INORGANIC CHEMISTRY
- C01F—COMPOUNDS OF THE METALS BERYLLIUM, MAGNESIUM, ALUMINIUM, CALCIUM, STRONTIUM, BARIUM, RADIUM, THORIUM, OR OF THE RARE-EARTH METALS
- C01F7/00—Compounds of aluminium
- C01F7/02—Aluminium oxide; Aluminium hydroxide; Aluminates
- C01F7/44—Dehydration of aluminium oxide or hydroxide, i.e. all conversions of one form into another involving a loss of water
- C01F7/441—Dehydration of aluminium oxide or hydroxide, i.e. all conversions of one form into another involving a loss of water by calcination
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- C—CHEMISTRY; METALLURGY
- C01—INORGANIC CHEMISTRY
- C01F—COMPOUNDS OF THE METALS BERYLLIUM, MAGNESIUM, ALUMINIUM, CALCIUM, STRONTIUM, BARIUM, RADIUM, THORIUM, OR OF THE RARE-EARTH METALS
- C01F7/00—Compounds of aluminium
- C01F7/02—Aluminium oxide; Aluminium hydroxide; Aluminates
- C01F7/44—Dehydration of aluminium oxide or hydroxide, i.e. all conversions of one form into another involving a loss of water
- C01F7/441—Dehydration of aluminium oxide or hydroxide, i.e. all conversions of one form into another involving a loss of water by calcination
- C01F7/444—Apparatus therefor
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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Abstract
The invention discloses a kind of aluminium oxide calcining control method and equipment, when aluminium oxide is unqualified, roasting technique to be adjusted is determined by inference pattern, and parameter to be adjusted corresponding with roasting technique to be adjusted, so as to adjust roasting parameter, without human intervention, to reduce cost of labor and manually-operated complexity.Method includes: the roasting process for monitoring aluminium oxide, obtains the corresponding roasting parameter of each roasting technique；When aluminium oxide is unqualified, model determines roasting technique to be adjusted, and parameter to be adjusted corresponding with roasting technique to be adjusted by inference；The roasting parameter of roasting technique to be adjusted is adjusted to parameter to be adjusted.
Description
Technical field
The present invention relates to industrial circles, more particularly to a kind of aluminium oxide calcining control method and equipment.
Background technique
Calcination department is last one of process of alumina producing, under current roaster feeding system, roaster
Coal gas control, air-introduced machine control, electricity gather dust control by operator's manual operations completion.
But, it is contemplated that the experience and ability of each operator is irregular, will cause maturing temperature, fuel stream
The recurrent fluctuations of the technological parameters such as amount, ID blower aperture, and these technological parameters finally influence whether the quality of aluminium oxide finished product,
Therefore, manual operation not only not can guarantee the quality of aluminium oxide finished product, but also make high labor cost, great work intensity.
Summary of the invention
The object of the present invention is to provide a kind of aluminium oxide calcining control methods and equipment to pass through when aluminium oxide is unqualified
Inference pattern determines roasting technique to be adjusted, and parameter to be adjusted corresponding with roasting technique to be adjusted, so as to adjust roasting ginseng
Number, without human intervention, to reduce cost of labor and manually-operated complexity.
First aspect present invention provides a kind of aluminium oxide calcining control method, comprising:
The roasting process for monitoring aluminium oxide, obtains the corresponding roasting parameter of each roasting technique；
When aluminium oxide is unqualified, model determines roasting technique to be adjusted by inference, and with roasting technique pair to be adjusted
The parameter to be adjusted answered；
The roasting parameter of roasting technique to be adjusted is adjusted to parameter to be adjusted.
Further, the roasting process for monitoring aluminium oxide obtains the corresponding roasting parameter of each roasting technique, comprising:
Obtain the corresponding input parameter of each roasting technique in the roasting process of aluminium oxide；
After optimizing adjustment to input parameter by optimization model, Optimal Parameters are obtained；
According to Optimal Parameters and parametric prediction model, the corresponding Prediction Parameters of each roasting technique are obtained；
Monitoring obtains the corresponding output parameter of each roasting technique；
Feedback compensation is carried out to output parameter according to Prediction Parameters, obtains the corresponding roasting parameter of each roasting technique.
Further, the roasting process for monitoring aluminium oxide, before obtaining the corresponding roasting parameter of each roasting technique, packet
It includes:
The history roasting process for monitoring aluminium oxide obtains the corresponding history roasting parameter of each history roasting technique；
When the corresponding aluminium oxide of history roasting process is unqualified, the unqualified mass parameter of aluminium oxide is obtained；
Parameter and unqualified mass parameter are roasted according to history, determination leads to the underproof problem roasting technique of aluminium oxide,
And the problem roasting parameter that problem roasting technique is corresponding；
Parameter, unqualified mass parameter, problem roasting technique and problem are roasted according to history and roasts parameter, establish reasoning mould
Type.
Further, method further include:
Detection obtains the product quality parameters of aluminium oxide；
Judge whether product quality parameters reach acceptable quality parameter by inference pattern；
If reaching, aluminium oxide is qualified；
If not up to, aluminium oxide is unqualified.
Further, model determines roasting technique to be adjusted by inference, and corresponding with roasting technique to be adjusted wait adjust
Whole parameter, comprising:
The product quality parameters of off-grade alumina and the corresponding roasting parameter of each roasting technique are inputted into reasoning
Model；
Being calculated by inference pattern leads to the underproof roasting technique of aluminium oxide, as roasting technique to be adjusted；
Determine parameter to be adjusted corresponding with roasting technique to be adjusted.
Second aspect of the present invention provides a kind of aluminium oxide calcining control equipment, comprising:
Monitoring modular obtains the corresponding roasting parameter of each roasting technique for monitoring the roasting process of aluminium oxide；
Reasoning module, for when aluminium oxide is unqualified, model determines roasting technique to be adjusted by inference, and with wait adjust
The corresponding parameter to be adjusted of whole roasting technique；
Control module, for the roasting parameter of roasting technique to be adjusted to be adjusted to parameter to be adjusted.
Further, monitoring modular includes:
Acquiring unit, optimization unit, predicting unit, monitoring unit and feedback compensation unit；
Acquiring unit, the corresponding input parameter of each roasting technique in the roasting process for obtaining aluminium oxide；
Optimize unit, after optimizing adjustment to input parameter by optimization model, obtains Optimal Parameters；
Predicting unit, for obtaining the corresponding prediction of each roasting technique according to Optimal Parameters and parametric prediction model
Parameter；
Monitoring unit obtains the corresponding output parameter of each roasting technique for monitoring；
Feedback compensation unit obtains each roasting work for carrying out feedback compensation to output parameter according to Prediction Parameters
The corresponding roasting parameter of skill.
Further, equipment further include: inference pattern constructs module and product detection module；
Monitoring modular is also used to monitor the history roasting process of aluminium oxide, and it is corresponding to obtain each history roasting technique
History roasts parameter；
Product detection module, for obtaining not conforming to for aluminium oxide when the corresponding aluminium oxide of history roasting process is unqualified
Lattice mass parameter；
Inference pattern constructs module, and for roasting parameter and unqualified mass parameter according to history, determination leads to aluminium oxide
Underproof problem roasting technique and problem corresponding to problem roasting technique roast parameter；
Inference pattern construct module, be also used to according to history roast parameter, unqualified mass parameter, problem roasting technique and
Problem roasts parameter, establishes inference pattern.
Further,
Product detection module is also used to detection and obtains the product quality parameters of aluminium oxide；
Reasoning module, for judging whether product quality parameters reach acceptable quality parameter by inference pattern；If reaching,
Then aluminium oxide is qualified；If not up to, aluminium oxide is unqualified.
Further,
Reasoning module is also used to the product quality parameters of off-grade alumina and the corresponding roasting of each roasting technique
It burns parameter and inputs inference pattern；
Reasoning module, being also used to be calculated by inference pattern leads to the underproof roasting technique of aluminium oxide, as to
Adjust roasting technique；
Reasoning module is also used to determine parameter to be adjusted corresponding with roasting technique to be adjusted.
It is visible above, in the roasting process of aluminium oxide, by monitoring the roasting process of aluminium oxide, obtain each roasting
The corresponding roasting parameter of technique, when aluminium oxide is unqualified, model determines roasting technique to be adjusted by inference, and with it is to be adjusted
The roasting parameter of roasting technique to be adjusted is adjusted to parameter to be adjusted by the corresponding parameter to be adjusted of roasting technique.With it is existing
Manual operation is compared, and the present invention is only needed when aluminium oxide is unqualified, determines roasting technique to be adjusted by inference pattern, and with
The corresponding parameter to be adjusted of roasting technique to be adjusted, so as to adjust roasting parameter, without human intervention, thus reduce manually at
Sheet and manually-operated complexity.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to institute in the prior art and embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the flow diagram of one embodiment of aluminium oxide calcining control method provided by the invention；
Fig. 2 is the flow diagram of one embodiment provided by the invention for obtaining roasting parameter；
Fig. 3 is the flow diagram of one embodiment of building inference pattern provided by the invention；
Fig. 4 is the structural schematic diagram of one embodiment that aluminium oxide calcining provided by the invention controls equipment；
Fig. 5 is the structural schematic diagram of one embodiment of monitoring modular provided by the invention；
Fig. 6 is the structural schematic diagram for another embodiment that aluminium oxide calcining provided by the invention controls equipment.
Specific embodiment
Core of the invention is to provide a kind of aluminium oxide calcining control method and equipment passes through when aluminium oxide is unqualified
Inference pattern determines roasting technique to be adjusted, and parameter to be adjusted corresponding with roasting technique to be adjusted, so as to adjust roasting ginseng
Number, without human intervention, to reduce cost of labor and manually-operated complexity.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Present invention is mainly applied to when concrete application, can be applied in it in the monitoring scene of the production plant area of enterprise
His scene, does not illustrate.It is illustrated by taking the production plant area of enterprise as an example in the embodiment of the present invention.
Referring to Fig. 1, the embodiment of the present invention provides a kind of aluminium oxide calcining control method, comprising:
101, the roasting process for monitoring aluminium oxide, obtains the corresponding roasting parameter of each roasting technique；
It is qualified from finished product filtering generally by roaster roasting in the production process of aluminium oxide in the present embodiment
Aluminium hydroxide, to obtain aluminium oxide, but during roasting, the control of each parameter needs unusual in roaster
Accurately, the product Eligibility requirements of aluminium oxide be can be only achieved, for example, igloss, oxygen content, carbon monoxide content, coal gas moisture contain
Amount, temperature, pressure, material position, flow etc. can all influence the product quality of aluminium oxide.Therefore, it in the present embodiment, needs to lead to
The roasting process for crossing sensor or control instruction real-time monitoring aluminium oxide obtains the corresponding roasting ginseng of each roasting technique
Number.
102, when aluminium oxide is unqualified, model determines roasting technique to be adjusted by inference, and with roasting work to be adjusted
The corresponding parameter to be adjusted of skill；
It if alumina product is qualified, is carried out without the parameter to roasting technique naturally in the present embodiment
Adjustment, but when alumina product is underproof, need using the inference pattern built in advance from roasting technique
It determines roasting technique to be adjusted, and determines the parameter to be adjusted that roasting technique to be adjusted needs to be adjusted.
103, the roasting parameter of roasting technique to be adjusted is adjusted to parameter to be adjusted.
In the present embodiment, after roasting technique to be adjusted and parameter to be adjusted has been determined, by the roasting of roasting technique to be adjusted
It burns parameter and is adjusted to parameter to be adjusted, so that the aluminium oxide obtained after roasting process is qualified.
In the embodiment of the present invention, in the roasting process of aluminium oxide, by monitoring the roasting process of aluminium oxide, obtain each
The corresponding roasting parameter of a roasting technique, when aluminium oxide is unqualified, model determines roasting technique to be adjusted by inference, and with
The corresponding parameter to be adjusted of roasting technique to be adjusted, is adjusted to parameter to be adjusted for the roasting parameter of roasting technique to be adjusted.With
Existing manual operation is compared, and the present invention is only needed when aluminium oxide is unqualified, determines roasting work to be adjusted by inference pattern
Skill, and parameter to be adjusted corresponding with roasting technique to be adjusted, so as to adjust roasting parameter, without human intervention, to reduce
Cost of labor and manually-operated complexity.
Since the requirement of the state modulator of roaster is that comparison is fine, then being reduced with regard to needing to take appropriate measures
The fluctuation of key process variables, and then optimize process unit operation, realize bounder control.Concrete implementation mode can by with
Lower embodiment is realized.
Referring to FIG. 2, monitoring the roasting process of aluminium oxide in some embodiments of the present invention, each roasting work is obtained
The corresponding roasting parameter of skill, comprising:
201, the corresponding input parameter of each roasting technique in the roasting process of aluminium oxide is obtained；
202, after optimizing adjustment to input parameter by optimization model, Optimal Parameters are obtained；
203, according to Optimal Parameters and parametric prediction model, the corresponding Prediction Parameters of each roasting technique are obtained；
204, monitoring obtains the corresponding output parameter of each roasting technique；
205, feedback compensation is carried out to output parameter according to Prediction Parameters, obtains the corresponding roasting ginseng of each roasting technique
Number.
In the embodiment of the present invention, before carrying out roasting process, needs to control process unit, input preset ginseng
Number, then the corresponding input parameter of each roasting technique in the roasting process of available aluminium oxide, inputting parameter at this time can
It can be that operator empirically inputs or pre-set, not necessarily accurately, then needing to pass through parameter optimization again
After model optimizes adjustment to input parameter, Optimal Parameters are obtained, Optimal Parameters are input to process unit and are controlled, and
And according to Optimal Parameters by parametric prediction model, after being predicted, the corresponding prediction of available each roasting technique
Parameter, and Optimal Parameters are input to after process unit carries out practical control, and passing through sensor real-time monitoring, each roasts work
The corresponding output parameter of skill can carry out feedback compensation by output parameter and Prediction Parameters, finally obtain each roasting work
The corresponding roasting parameter of skill.Realize the optimal control for roasting technique.
In the embodiment shown in figure 1 above, inference pattern constructs in advance, and specific building is according to aluminium oxide
History roasting process carries out what statistics building obtained.Detailed process is as follows:
Referring to Fig. 3, monitoring the roasting process of aluminium oxide in some embodiments of the present invention, each roasting work is obtained
Before the corresponding roasting parameter of skill, comprising:
301, the history roasting process for monitoring aluminium oxide obtains the corresponding history roasting ginseng of each history roasting technique
Number；
302, when the corresponding aluminium oxide of history roasting process is unqualified, the unqualified mass parameter of aluminium oxide is obtained；
303, parameter and unqualified mass parameter are roasted according to history, determining leads to the underproof problem roasting work of aluminium oxide
Skill and problem corresponding to problem roasting technique roast parameter；
304, parameter, unqualified mass parameter, problem roasting technique and problem are roasted according to history and roasts parameter, foundation pushes away
Manage model.
In the embodiment of the present invention, the history roasting process of aluminium oxide is monitored, it is corresponding to obtain each history roasting technique
History roasting parameter obtains the unqualified mass parameter of aluminium oxide, root when the corresponding aluminium oxide of history roasting process is unqualified
Roasting parameter and unqualified mass parameter according to history can be determined and be led by the analysis of operator and the analysis of operating system
It causes the underproof problem roasting technique of aluminium oxide and problem corresponding to problem roasting technique to roast parameter, is roasted and joined according to history
Several, unqualified mass parameter, problem roasting technique and problem roast parameter, establish inference pattern.To be roasted subsequent
Cheng Zhong can infer roasting technique of problems and right when the product quality of aluminium oxide is unqualified by inference pattern
The roasting parameter answered, and then roasting parameter is controlled, so that alumina product meets the requirements.
Optionally, in some embodiments of the present invention, method further include:
Detection obtains the product quality parameters of aluminium oxide；
Judge whether product quality parameters reach acceptable quality parameter by inference pattern；
If reaching, aluminium oxide is qualified；
If not up to, aluminium oxide is unqualified.
In the embodiment of the present invention, judge whether qualification is determined by the product quality parameters of detection aluminium oxide to aluminium oxide
The parameter of quality of alumina mainly has chemical component, igloss and granularity etc..Only need to judge each single item of product quality parameters
Whether reach the standard of acceptable quality parameter, just can determine that whether aluminium oxide is qualified.
Optionally, in some embodiments of the present invention, model determines roasting technique to be adjusted by inference, and with it is to be adjusted
The corresponding parameter to be adjusted of roasting technique, comprising:
The product quality parameters of off-grade alumina and the corresponding roasting parameter of each roasting technique are inputted into reasoning
Model；
Being calculated by inference pattern leads to the underproof roasting technique of aluminium oxide, as roasting technique to be adjusted；
Determine parameter to be adjusted corresponding with roasting technique to be adjusted.
In the embodiment of the present invention, inference pattern building complete after, and determine aluminium oxide it is unqualified when, will be unqualified
Aluminium oxide product quality parameters and each roasting technique corresponding roasting parameter input inference pattern in, can infer
Lead to the underproof roasting technique of aluminium oxide, as roasting technique to be adjusted, determination is corresponding with roasting technique to be adjusted wait adjust
Whole parameter.
It should be noted that aluminium oxide calcining control in reliability and the present invention in order to guarantee aluminum oxide production process
The parameter of adjustment and roasting technique can be showed operator by man-machine interactive interface or interface by the visuality of method
Member, and the intervention instruction of operator is received and executed in real time.
In the above embodiment, aluminium oxide calcining control method is specifically illustrated, below by embodiment to application
The aluminium oxide calcining control equipment of this method is described in detail.
Referring to Fig. 4, the embodiment of the present invention provides a kind of aluminium oxide calcining control equipment, comprising:
Monitoring modular 401 obtains the corresponding roasting ginseng of each roasting technique for monitoring the roasting process of aluminium oxide
Number；
Reasoning module 402, for when aluminium oxide is unqualified, model determines roasting technique to be adjusted by inference, and with
The corresponding parameter to be adjusted of roasting technique to be adjusted；
Control module 403, for the roasting parameter of roasting technique to be adjusted to be adjusted to parameter to be adjusted.
In the embodiment of the present invention, in the roasting process of aluminium oxide, the roasting of aluminium oxide is monitored by monitoring modular 401
Journey obtains the corresponding roasting parameter of each roasting technique, when aluminium oxide is unqualified, the model by inference of reasoning module 402
Determine roasting technique to be adjusted, and parameter to be adjusted corresponding with roasting technique to be adjusted, control module 403 is by roasting to be adjusted
The roasting parameter of technique is adjusted to parameter to be adjusted.Compared with existing manual operation, the present invention only needs not conforming in aluminium oxide
When lattice, roasting technique to be adjusted, and parameter to be adjusted corresponding with roasting technique to be adjusted are determined by inference pattern, to adjust
Whole roasting parameter, without human intervention, to reduce cost of labor and manually-operated complexity.
Optionally, as shown in figure 5, in some embodiments of the present invention, monitoring modular includes:
Acquiring unit 501, optimization unit 502, predicting unit 503, monitoring unit 504 and feedback compensation unit 505；
Acquiring unit 501, the corresponding input parameter of each roasting technique in the roasting process for obtaining aluminium oxide；
Optimize unit 502, after optimizing adjustment to input parameter by optimization model, obtains optimization ginseng
Number；
Predicting unit 503, for it is corresponding pre- to obtain each roasting technique according to Optimal Parameters and parametric prediction model
Survey parameter；
Monitoring unit 504 obtains the corresponding output parameter of each roasting technique for monitoring；
Feedback compensation unit 505 obtains each roasting for carrying out feedback compensation to output parameter according to Prediction Parameters
The corresponding roasting parameter of technique.
In the embodiment of the present invention, before carrying out roasting process, needs to control process unit, input preset ginseng
Number, then the corresponding input parameter of each roasting technique in the roasting process of the available aluminium oxide of acquiring unit 501, at this time
Input parameter may be it is that operator empirically inputs or pre-set, not necessarily accurately, then needing to optimize
After unit 502 optimizes adjustment to input parameter by optimization model again, Optimal Parameters are obtained, Optimal Parameters are inputted
It is controlled to process unit, and predicting unit 503 passes through parametric prediction model according to Optimal Parameters, after being predicted,
The corresponding Prediction Parameters of available each roasting technique, and Optimal Parameters are input to process unit and carry out practical control
Afterwards, monitoring unit 504 passes through the corresponding output parameter of each roasting technique of sensor real-time monitoring, feedback compensation unit 505
Feedback compensation can be carried out by output parameter and Prediction Parameters, finally obtains the corresponding roasting parameter of each roasting technique.
Realize the optimal control for roasting technique.
Optionally, the embodiment in conjunction with shown in figure 4 above, as shown in fig. 6, equipment is also in some embodiments of the present invention
It include: inference pattern building module 601 and product detection module 602；
Monitoring modular 401 is also used to monitor the history roasting process of aluminium oxide, and it is corresponding to obtain each history roasting technique
History roast parameter；
Product detection module 602, for obtaining aluminium oxide not when the corresponding aluminium oxide of history roasting process is unqualified
Acceptable quality parameter；
Inference pattern constructs module 601, and for roasting parameter and unqualified mass parameter according to history, determination causes to aoxidize
The underproof problem roasting technique of aluminium and problem corresponding to problem roasting technique roast parameter；
Inference pattern constructs module 601, is also used to roast parameter, unqualified mass parameter, problem roasting work according to history
Skill and problem roast parameter, establish inference pattern.
In the embodiment of the present invention, monitoring modular 401 monitors the history roasting process of aluminium oxide, obtains the roasting of each history
The corresponding history of technique roasts parameter, and when the corresponding aluminium oxide of history roasting process is unqualified, product detection module 602 is obtained
The unqualified mass parameter of aluminium oxide, inference pattern construct module 601 and roast parameter and unqualified mass parameter according to history, lead to
The analysis of operator and the analysis of operating system are crossed, can determine leads to the underproof problem roasting technique of aluminium oxide, and asks
It inscribes problem corresponding to roasting technique and roasts parameter, parameter, unqualified mass parameter, problem roasting technique are roasted according to history and asked
Topic roasting parameter, establishes inference pattern.Thus in subsequent roasting process, when the product quality of aluminium oxide is unqualified, energy
Roasting technique of problems and corresponding roasting parameter are enough inferred by inference pattern, and then control roasting parameter, so that
Alumina product meets the requirements.
Optionally, as shown in fig. 6, in some embodiments of the present invention,
Product detection module 602 is also used to detection and obtains the product quality parameters of aluminium oxide；
Reasoning module 402, for judging whether product quality parameters reach acceptable quality parameter by inference pattern；If reaching
It arrives, then aluminium oxide is qualified；If not up to, aluminium oxide is unqualified.
In the embodiment of the present invention, judge whether qualification is determined by the product quality parameters of detection aluminium oxide to aluminium oxide
The parameter of quality of alumina mainly has chemical component, igloss and granularity etc..Reasoning module 402 only needs to judge that product quality is joined
Whether several each single item reaches the standard of acceptable quality parameter, just can determine that whether aluminium oxide is qualified.
Optionally, as shown in fig. 6, in some embodiments of the present invention,
Reasoning module 402 is also used to the product quality parameters of off-grade alumina and each roasting technique are corresponding
Roasting parameter input inference pattern；
Reasoning module 402, being also used to be calculated by inference pattern leads to the underproof roasting technique of aluminium oxide, as
Roasting technique to be adjusted；
Reasoning module 402 is also used to determine parameter to be adjusted corresponding with roasting technique to be adjusted.
In the embodiment of the present invention, inference pattern building complete after, and determine aluminium oxide it is unqualified when, reasoning module
The product quality parameters of off-grade alumina and the corresponding roasting parameter of each roasting technique are inputted inference pattern by 402
In, can infer leads to the underproof roasting technique of aluminium oxide, as roasting technique to be adjusted, determining and roasting work to be adjusted
The corresponding parameter to be adjusted of skill.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.It should also be noted that, in this theory
In bright book, relational terms such as first and second and the like be used merely to by an entity or operation with another entity or
Operation distinguishes, without necessarily requiring or implying between these entities or operation there are any this actual relationship or
Sequentially.Moreover, the terms "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that
Process, method, article or equipment including a series of elements not only includes those elements, but also including being not explicitly listed
Other element, or further include for elements inherent to such a process, method, article, or device.Do not limiting more
In the case where system, the element that is limited by sentence "including a ...", it is not excluded that including process, method, the object of the element
There is also other identical elements in product or equipment.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (10)
1. a kind of aluminium oxide calcining control method characterized by comprising
The roasting process for monitoring aluminium oxide, obtains the corresponding roasting parameter of each roasting technique；
When the aluminium oxide is unqualified, model determines roasting technique to be adjusted by inference, and with the roasting work to be adjusted
The corresponding parameter to be adjusted of skill；
The roasting parameter of the roasting technique to be adjusted is adjusted to the parameter to be adjusted.
2. the method according to claim 1, wherein the roasting process of the monitoring aluminium oxide, obtains each
The corresponding roasting parameter of roasting technique, comprising:
Obtain the corresponding input parameter of each roasting technique in the roasting process of the aluminium oxide；
After optimizing adjustment to the input parameter by optimization model, Optimal Parameters are obtained；
According to the Optimal Parameters and parametric prediction model, the corresponding Prediction Parameters of each described roasting technique are obtained；
Monitoring obtains the corresponding output parameter of each described roasting technique；
Feedback compensation is carried out to the output parameter according to the Prediction Parameters, obtains the corresponding roasting of each described roasting technique
Burn parameter.
3. the method according to claim 1, wherein the roasting process of the monitoring aluminium oxide, obtains each
Before the corresponding roasting parameter of roasting technique, comprising:
The history roasting process for monitoring the aluminium oxide obtains the corresponding history roasting parameter of each history roasting technique；
When the corresponding aluminium oxide of the history roasting process is unqualified, the unqualified mass parameter of the aluminium oxide is obtained；
Parameter and the unqualified mass parameter are roasted according to the history, determining leads to the underproof problem roasting of the aluminium oxide
Firing technique and problem corresponding to described problem roasting technique roast parameter；
Parameter, the unqualified mass parameter, described problem roasting technique and described problem roasting ginseng are roasted according to the history
Number, establishes inference pattern.
4. according to the method described in claim 3, it is characterized in that, the method also includes:
Detection obtains the product quality parameters of the aluminium oxide；
Judge whether the product quality parameters reach acceptable quality parameter by the inference pattern；
If reaching, the aluminium oxide is qualified；
If not up to, the aluminium oxide is unqualified.
5. according to the method described in claim 4, it is characterized in that, the model by inference determines roasting technique to be adjusted,
And parameter to be adjusted corresponding with the roasting technique to be adjusted, comprising:
By the product quality parameters of the underproof aluminium oxide and the corresponding roasting parameter input of each described roasting technique
The inference pattern；
Being calculated by the inference pattern leads to the underproof roasting technique of the aluminium oxide, as roasting work to be adjusted
Skill；
Determining parameter to be adjusted corresponding with the roasting technique to be adjusted.
6. a kind of aluminium oxide calcining controls equipment characterized by comprising
Monitoring modular obtains the corresponding roasting parameter of each roasting technique for monitoring the roasting process of aluminium oxide；
Reasoning module, for when the aluminium oxide is unqualified, model determines roasting technique to be adjusted by inference, and with it is described
The corresponding parameter to be adjusted of roasting technique to be adjusted；
Control module, for the roasting parameter of the roasting technique to be adjusted to be adjusted to the parameter to be adjusted.
7. equipment according to claim 6, which is characterized in that the monitoring modular includes:
Acquiring unit, optimization unit, predicting unit, monitoring unit and feedback compensation unit；
The acquiring unit, the corresponding input parameter of each roasting technique in the roasting process for obtaining the aluminium oxide；
The optimization unit obtains optimization ginseng after optimizing adjustment to the input parameter by optimization model
Number；
The predicting unit, for according to the Optimal Parameters and parametric prediction model, obtaining each described roasting technique pair
The Prediction Parameters answered；
The monitoring unit obtains the corresponding output parameter of each described roasting technique for monitoring；
The feedback compensation unit obtains described for carrying out feedback compensation to the output parameter according to the Prediction Parameters
The corresponding roasting parameter of each roasting technique.
8. equipment according to claim 6, which is characterized in that the equipment further include: inference pattern constructs module and production
Product detection module；
The monitoring modular is also used to monitor the history roasting process of the aluminium oxide, obtains each history roasting technique pair
The history roasting parameter answered；
The product detection module, for obtaining the oxidation when the corresponding aluminium oxide of the history roasting process is unqualified
The unqualified mass parameter of aluminium；
The inference pattern constructs module, and for roasting parameter and the unqualified mass parameter according to the history, determination is led
Cause the underproof problem roasting technique of the aluminium oxide and described problem roasting technique it is corresponding problem roasting parameter；
The inference pattern constructs module, is also used to roast parameter according to the history, the unqualified mass parameter, described asks
It inscribes roasting technique and described problem roasts parameter, establish inference pattern.
9. equipment according to claim 8, which is characterized in that
The product detection module is also used to detection and obtains the product quality parameters of the aluminium oxide；
The reasoning module, for judging whether the product quality parameters reach acceptable quality ginseng by the inference pattern
Number；If reaching, the aluminium oxide is qualified；If not up to, the aluminium oxide is unqualified.
10. equipment according to claim 9, which is characterized in that
The reasoning module is also used to the product quality parameters of the underproof aluminium oxide and each described roasting technique
Corresponding roasting parameter inputs the inference pattern；
The reasoning module, being also used to be calculated by the inference pattern leads to the underproof roasting work of the aluminium oxide
Skill, as roasting technique to be adjusted；
The reasoning module is also used to determining parameter to be adjusted corresponding with the roasting technique to be adjusted.
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