CN105738403A - Method and device for detecting liquidus temperature of aluminum electrolyte - Google Patents
Method and device for detecting liquidus temperature of aluminum electrolyte Download PDFInfo
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Abstract
The invention provides a method and device for detecting the liquidus temperature of aluminum electrolyte. The method includes: collecting a plurality of temperature data during the cooling process of the molten aluminum electrolyte, and sorting the temperature data according to the collecting time; removing the interference temperature data of the temperature data to determine a plurality of analyzing temperature data, and sequentially performing rounding treatment on the analyzing temperature data according to the determining sequence of the analyzing temperature data to obtain the rounded temperature data of the analyzing temperature data so as to form a rounded temperature data set; placing at least one continuously-identical rounded temperature data in the rounded temperature data set into a group to obtain at least one rounded temperature data group; determining the target rounded temperature data group with the largest rounded temperature data number, and determining the collected temperature data corresponding to the first rounded temperature data in the target rounded temperature data group as the liquidus temperature of the aluminum electrolyte. The method can increase the accuracy of the detecting result of the liquidus temperature of the aluminum electrolyte.
Description
Technical field
The present invention relates to technical field of aluminum electrolysis, be specifically related to liquidus temperature detection method and the device of a kind of aluminium electrolyte.
Background technology
Current aluminum electrolysis production technique needs to form the mixture electrified regulation of cryolite and aluminium oxide to molten state the aluminium electrolyte (aluminium electrolyte) of liquid, then again through electrolytic production of aluminum.During production run, in electrolysis bath, the actual temperature of aluminium electrolyte is called bath temperature, and aluminium electrolyte is cooled to temperature when there is crystallization and is called the liquidus temperature of aluminium electrolyte, and the temperature difference between bath temperature and liquidus temperature is called the degree of superheat.Aluminium electrolyte temperature is generally between 910 DEG C to 980 DEG C, when the degree of superheat is too high, can consume many unnecessary electric energy, cause energy waste；If the degree of superheat is too little, then the aluminium electrolyte in electrolysis bath there will be crystalline polamer, causes electrolysis bath operation exception, reduces the quality of production, even destroys electrolysis bath, cause heavy losses.Owing to Aluminum Electrolysis Production is in large scale, reasonably reduce bath temperature, the efficiency making electric energy is increased, save substantial amounts of electric energy, and it is in suitable scope to control the degree of superheat, the adjustment of bath temperature needs again premised on the liquidus temperature of aluminium electrolyte, and the liquidus temperature therefore detecting aluminium electrolyte seems particularly necessary.
The mode of the liquidus temperature of existing detection aluminium electrolyte is mainly based upon thermal analysis system and realizes, and its principle is based on thermal change that in aluminium electrolyte temperature-fall period, physical change is adjoint to realize the detection of liquidus temperature；Concrete, this thermal analysis system need to by aluminium electrolyte heating to molten state, then its natural cooling is made, by thermocouple collecting temperature data and be plotted as cooling curve, owing to aluminium electrolyte crystallization is exothermic process, therefore there will be a temporary transient platform or turnover region on cooling curve, the temperature corresponding to section start in platform or turnover region is exactly the liquidus temperature of aluminium electrolyte.
The present inventor finds in research process, thermal analysis system is based on the flex point slope of cooling curve and realizes the detection of liquidus temperature, but in some cases, the flex point slope of cooling curve can trend towards even up to 0, or the change of the flex point slope of cooling curve is not as obvious, then by identifying that difficulty is brought in the platform occurred on cooling curve or turnover region, the accuracy making the liquidus temperature testing result of aluminium electrolyte is unsatisfactory, even cannot detect the liquidus temperature of aluminium electrolyte.
Summary of the invention
In view of this, the embodiment of the present invention provides liquidus temperature detection method and the device of a kind of aluminium electrolyte, to promote the accuracy of the liquidus temperature testing result of aluminium electrolyte.
For achieving the above object, the embodiment of the present invention provides following technical scheme:
A kind of liquidus temperature detection method of aluminium electrolyte, including:
In the cooling procedure of the aluminium electrolyte of molten state, gathering multiple temperature datas of aluminium electrolyte, the plurality of temperature data sorts according to acquisition time；
Reject the interference temperature data of the plurality of temperature data, determine some analysis temperature data, and with described some analysis temperature data definite sequences really, sequentially each analysis temperature data are carried out rounding treatment, obtain the temperature data that rounds off that each analysis temperature data are corresponding, form the temperature data collection that rounds off；
The temperature data that described temperature data consecutive identical at least one of concentration that round off rounded off is classified as one group, obtains at least one temperature data group that rounds off；
Described in determining, at least one rounds off in temperature data group, the maximum target of the quantity of temperature data of rounding off rounds off temperature data group, the temperature data of the collection that first temperature data that rounds off in temperature data group that described target rounded off is corresponding, it is determined that for the liquidus temperature of aluminium electrolyte.
Optionally, the interference temperature data of the plurality of temperature data of described rejecting, it is determined that some analysis temperature data include:
Setting up the sliding window of preseting length, with described sliding window according to setting step value, first temperature data from the plurality of temperature data, according to acquisition time order forward slip, entering in sliding window until sliding into last temperature data；
Slide every time after, with temperature level, the temperature data in described sliding window is ranked up, and takes in described sliding window that the temperature data in centre position is as analysis temperature data, after several times slide, to obtain several analysis temperature data.
Optionally, with described some analysis temperature data definite sequences really, sequentially each analysis temperature data are carried out rounding treatment, obtain the temperature data that rounds off that each analysis temperature data are corresponding, form the temperature data collection that rounds off and include:
Often determine analysis temperature data, the first of these analysis temperature data arithmetic point is carried out the process that rounds up, obtain the temperature data that rounds off that these analysis temperature data are corresponding, and send into the temperature data collection that rounds off, formed according to the described temperature data collection that rounds off determining order sequence；
Or, obtaining by several analysis temperature data according to after determining the analysis temperature data set formed that sequentially sorts, round up process to first arithmetic point of each analysis temperature data in described analysis temperature data set, obtain the temperature data that rounds off that each analysis temperature data are corresponding, formed according to the described temperature data collection that rounds off determining order sequence.
Optionally, the described temperature data that described temperature data consecutive identical at least one of concentration that round off rounded off is classified as one group, obtains at least one temperature data group that rounds off and includes:
Concentrate consecutive identical multiple temperature datas that round off to be classified as one group the described temperature data that rounds off, and concentrate the round off temperature data different from the adjacent temperature data that rounds off to be classified as alone one group the described temperature data that rounds off.
Optionally, described method also includes:
For the temperature data group that respectively rounds off, the temperature data group that rounds off add one round off temperature data time, numeration is added 1, with after the temperature data group that respectively rounded off, the quantity of the temperature data that rounds off respectively rounded off in temperature data group that counts out.
The embodiment of the present invention also provides for the liquidus temperature detecting device of a kind of aluminium electrolyte, including:
Temperature collect module, for, in the cooling procedure of the aluminium electrolyte of molten state, gathering multiple temperature datas of aluminium electrolyte, the plurality of temperature data sorts according to acquisition time；
Reject interference module, for rejecting the interference temperature data of the plurality of temperature data, it is determined that some analysis temperature data；
Rounding treatment module, for described some analysis temperature data definite sequences really, sequentially each analysis temperature data being carried out rounding treatment, obtains the temperature data that rounds off that each analysis temperature data are corresponding, forms the temperature data collection that rounds off；
It is grouped into module, is classified as one group for the temperature data that described temperature data consecutive identical at least one of concentration that round off rounded off, obtains at least one temperature data group that rounds off；
Liquidus temperature determines module, described in determining, at least one rounds off in temperature data group, the maximum target of the quantity of temperature data of rounding off rounds off temperature data group, the temperature data of the collection that first temperature data that rounds off in temperature data group that described target rounded off is corresponding, it is determined that for the liquidus temperature of aluminium electrolyte.
Optionally, described rejecting interference module includes:
Sliding window unit, for setting up the sliding window of preseting length, with described sliding window according to setting step value, first temperature data from the plurality of temperature data, according to acquisition time order forward slip, enter in sliding window until sliding into last temperature data；
Value unit after slip, after sliding, with temperature level, the temperature data in described sliding window is ranked up every time, and takes in described sliding window the temperature data in centre position as analysis temperature data,, after several times slide, to obtain several analysis temperature data.
Optionally, described rounding treatment module includes:
First rounding treatment unit, for often determining analysis temperature data, the first of these analysis temperature data arithmetic point is carried out the process that rounds up, obtain the temperature data that rounds off that these analysis temperature data are corresponding, and send into the temperature data collection that rounds off, formed according to the described temperature data collection that rounds off determining order sequence；
Or, second rounding treatment unit, for obtaining by several analysis temperature data according to after determining the analysis temperature data set formed that sequentially sorts, round up process to first arithmetic point of each analysis temperature data in described analysis temperature data set, obtain the temperature data that rounds off that each analysis temperature data are corresponding, formed according to the described temperature data collection that rounds off determining order sequence.
Optionally, described grouping module includes:
First is grouped into unit, for concentrating consecutive identical multiple temperature datas that round off to be classified as one group the described temperature data that rounds off；
Second is grouped into unit, for concentrating the round off temperature data different from the adjacent temperature data that rounds off to be classified as alone one group the described temperature data that rounds off.
Optionally, described device also includes:
Counting module, for for the temperature data group that respectively rounds off, the temperature data group that rounds off add one round off temperature data time, numeration is added 1, with after the temperature data group that respectively rounded off, the quantity of the temperature data that rounds off respectively rounded off in temperature data group that counts out.
Based on technique scheme, the liquidus temperature detection method of the aluminium electrolyte that the embodiment of the present invention provides, temperature data density based on aluminium electrolyte sample temperature near liquidus temperature has the feature becoming apparent from assembling than the temperature data density of other temperature ranges, by to the multiple temperature datas gathered, carry out rejecting interference temperature data, rounding treatment, and grouping processes, can determine that the maximum target of temperature data density rounds off temperature data group, thus it is interval to search out the maximum sampling temperature data of aluminium electrolyte temperature data density near liquidus temperature, and then the temperature data of collection corresponding to first temperature data that rounds off in temperature data group that target is rounded off, it is defined as the liquidus temperature of aluminium electrolyte, realize the detection of the liquidus temperature to aluminium electrolyte.The liquidus temperature detection method of the aluminium electrolyte that the embodiment of the present invention provides, the maximum sample temperature of aluminium electrolyte temperature data density near liquidus temperature is found interval based on temperature data density algorithm, thus using the temperature data of collection corresponding for first temperature data that rounds off in this sample temperature interval as liquidus temperature, can trend towards even up to 0 at the flex point slope of cooling curve, or the change of the flex point slope of cooling curve is not as in obvious situation, realize the detection of the liquidus temperature of aluminium electrolyte, promote the accuracy of the liquidus temperature testing result of aluminium electrolyte.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in the following describes is only embodiments of the invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to the accompanying drawing provided.
The flow chart of the liquidus temperature detection method of the aluminium electrolyte that Fig. 1 provides for the embodiment of the present invention；
The rejecting interference temperature data that Fig. 2 provides for the embodiment of the present invention, it is determined that the method flow diagram of analysis temperature data；
Another flow chart of the liquidus temperature detection method of the aluminium electrolyte that Fig. 3 provides for the embodiment of the present invention；
Another flow chart of the liquidus temperature detection method of the aluminium electrolyte that Fig. 4 provides for the embodiment of the present invention；
The another flow chart of the liquidus temperature detection method of the aluminium electrolyte that Fig. 5 provides for the embodiment of the present invention；
Fig. 6 is the liquidus temperature of existing employing cooling curve detection aluminium electrolyte, and the embodiment of the present invention is based on the signal comparison diagram of the liquidus temperature of temperature data density algorithm detection aluminium electrolyte；
The structured flowchart of the liquidus temperature detecting device of the aluminium electrolyte that Fig. 7 provides for the embodiment of the present invention；
The structured flowchart of the rejecting interference module that Fig. 8 provides for the embodiment of the present invention；
The structured flowchart of the rounding treatment module that Fig. 9 provides for the embodiment of the present invention；
Another structured flowchart of the rounding treatment module that Figure 10 provides for the embodiment of the present invention；
The structured flowchart of the grouping module that Figure 11 provides for the embodiment of the present invention；
Another structured flowchart of the liquidus temperature detecting device of the aluminium electrolyte that Figure 12 provides for the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under not making creative work premise, broadly fall into the scope of protection of the invention.
The flow chart of the liquidus temperature detection method of the aluminium electrolyte that Fig. 1 provides for the embodiment of the present invention, the method can be applicable to the electronic equipment with data-handling capacity, and with reference to Fig. 1, the method may include that
Step S100, in the cooling procedure of the aluminium electrolyte of molten state, gather aluminium electrolyte multiple temperature datas, the plurality of temperature data according to acquisition time sort；
Optionally, aluminium electrolyte can be heated to molten state by the embodiment of the present invention, then makes its natural cooling, by thermocouple collecting temperature data in the cooling procedure of the aluminium electrolyte of molten state, thus obtaining the multiple temperature datas according to acquisition time sequence.
Step S110, reject the interference temperature data of the plurality of temperature data, determine some analysis temperature data, and with described some analysis temperature data definite sequences really, sequentially each analysis temperature data are carried out rounding treatment, obtain the temperature data that rounds off that each analysis temperature data are corresponding, form the temperature data collection that rounds off；
Optionally, the data volume of the temperature data owing to being collected by hardware (thermocouple) is relatively larger, in order to reject interference from the temperature data collected, the multiple temperature datas collected can be filtered processing by median filtering algorithm by the embodiment of the present invention, thus rejecting interference temperature data therein, obtain some analysis temperature data；
Concrete, the multiple temperature datas collected can be ranked up by median filtering algorithm by the embodiment of the present invention with numerical values recited, thus the some temperature datas mediated after choosing sequence, as some analysis temperature data, and then realize rejecting interference temperature data from multiple temperature datas, reduce the workload that follow-up data processes；
Optionally, after obtaining some analysis temperature data, the embodiment of the present invention can some analysis temperature data definite sequences really, sequentially each analysis temperature data are carried out rounding treatment, as the first of analysis temperature data arithmetic point is carried out the process that rounds up, and retain integer, obtain the temperature data that rounds off that each analysis temperature data are corresponding, and then with some analysis temperature data definite sequences really, the temperature data that rounds off that each analysis temperature data are corresponding is ranked up, obtains the temperature data collection that rounds off.
Step S120, the temperature data that described temperature data consecutive identical at least one of concentration that round off rounded off are classified as one group, obtain at least one temperature data group that rounds off；
The temperature data that rounds off that can be classified as one group should meet following either condition: concentrating at the temperature data that rounds off is consecutive identical multiple temperature datas that round off, and namely the plurality of temperature data that rounds off is continuous print at the temperature data concentrated position that rounds off, and numerical value is identical；Or, the temperature data that rounds off concentrates the round off temperature data different from the adjacent temperature data that rounds off can be classified as alone one group；
Such as: the temperature data collection that rounds off has the temperature data that rounds off: (A1, A1, A1, A2, A3, A3, A1, A2)；Being classified as the principle of a group, primary A1, deputy A1, and the A1 of the 3rd based on consecutive identical multiple temperature datas that round off and be classified as one group, the A3 of A3 and the of the 5th six is classified as one group；Be classified as alone the principle of a group based on the temperature data that rounds off different from the adjacent temperature data that rounds off, the A2 of the 4th is classified as alone one group, and the A1 of the 7th is classified as alone one group, and the A2 of the 8th is classified as alone one group；
Therefore, obtain the temperature data group that rounds off: (A1, A1, A1), (A2), (A3, A3), (A1), (A2).
Step S130, determine described at least one round off in temperature data group, the maximum target of the quantity of temperature data of rounding off rounds off temperature data group, the temperature data of the collection that first temperature data that rounds off in temperature data group that described target rounded off is corresponding, it is determined that for the liquidus temperature of aluminium electrolyte.
After determining at least one temperature data group that rounds off, the quantity of the countable temperature data that rounds off respectively rounded off in temperature data group of the embodiment of the present invention, and maximum for the quantity of the temperature data that the rounds off temperature data group that rounds off is rounded off temperature data group as target；In the example above, the quantity of the temperature data that rounds off of (A1, A1, A1) is maximum, and therefore (A1, A1, A1) rounds off temperature data group for target；
Optionally, when the quantity of the temperature data that rounds off that counting respectively rounds off in temperature data group, for the temperature data group that respectively rounds off, the embodiment of the present invention can when temperature data be rounded off in temperature data group addition one of rounding off, counting is added 1, thus after the temperature data group that respectively rounded off, the quantity of the temperature data that rounds off respectively rounded off in temperature data group that counts out；
Determining that target rounds off after temperature data group, target can be rounded off the temperature data of collection corresponding to first temperature data that rounds off in temperature data group by the embodiment of the present invention, it is determined that for the liquidus temperature of aluminium electrolyte；The temperature data (temperature data that aluminium electrolyte corresponding for primary A1 gathers in cooling procedure) of collection corresponding for primary A1 in the temperature data group (A1, A1, A1) that target rounded off, as the liquidus temperature of aluminium electrolyte.
The liquidus temperature detection method of the aluminium electrolyte that the embodiment of the present invention provides, temperature data density based on aluminium electrolyte sample temperature near liquidus temperature has the feature becoming apparent from assembling than the temperature data density of other temperature ranges, by to the multiple temperature datas gathered, carry out rejecting interference temperature data, rounding treatment, and grouping processes, can determine that the maximum target of temperature data density rounds off temperature data group, thus it is interval to search out the maximum sample temperature of aluminium electrolyte temperature data density near liquidus temperature, and then the temperature data of collection corresponding to first temperature data that rounds off in temperature data group that target is rounded off, it is defined as the liquidus temperature of aluminium electrolyte, realize the detection of the liquidus temperature to aluminium electrolyte.The liquidus temperature detection method of the aluminium electrolyte that the embodiment of the present invention provides, the maximum sample temperature of aluminium electrolyte temperature data density near liquidus temperature is found interval based on temperature data density algorithm, thus using the temperature data of collection corresponding for first temperature data that rounds off in this sample temperature interval as liquidus temperature, can trend towards even up to 0 at the flex point slope of cooling curve, or the change of the flex point slope of cooling curve is not as in obvious situation, realize the detection of the liquidus temperature of aluminium electrolyte, promote the accuracy of the liquidus temperature testing result of aluminium electrolyte.
Optionally, the embodiment of the present invention can be passed through to arrange sliding window, by sliding window from first temperature data of the multiple temperature datas gathered, by the acquisition order of temperature data to set step value forward slip, and after each slip sliding window, take the intermediate value by numerical values recited sequence in sliding window, it is achieved after each slip sliding window, reject the determination of the analysis temperature data of interference temperature data；
Accordingly, Fig. 2 illustrates the rejecting interference temperature data that the embodiment of the present invention provides, it is determined that the method flow diagram of analysis temperature data, and with reference to Fig. 2, the method may include that
Step S200, set up the sliding window of preseting length, with described sliding window according to setting step value, first temperature data from the plurality of temperature data, according to acquisition time order forward slip, enter in sliding window until sliding into last temperature data；
Step S210, slide every time after, with temperature level, the temperature data in described sliding window is ranked up, and takes in described sliding window that the temperature data in centre position is as analysis temperature data, after several times slide, to obtain several analysis temperature data.
Optionally, the embodiment of the present invention can when adopting median filtering algorithm to be filtered the multiple temperature datas collected processing, one sliding window is set, and set sliding window size, sliding window starts to slide from first temperature data of multiple temperature datas according to setting step value, temperature data in sliding window after sliding is sorted by size, take the value of window center point to represent in window value a little；Then with this step value forward slip window again, again sort by size the temperature data in window, take the value of window center point, so circulate, until last temperature data enters in sliding window；Thus at each sliding window and after sorting by size the temperature data in window, taking the value of window center point, by the value respectively chosen by determining that (choosing) order is arranged in some analysis temperature data；
In implementing process, it is the sliding window of m that the embodiment of the present invention can set up a length, and presses step value n by acquisition time order, to start forward slip from the first of multiple temperature datas；
After each sliding window, the data in window are carried out size sequence；
The value of window center point after sequence is represented in window value a little, as analysis temperature data.
The embodiment of the present invention can be passed through to choose and set suitable window size m and window sliding step value n, to ensure that in medium filtering output waveform, clutter is less, farthest retains the curve primary characteristic of the multiple temperature datas gathered.
Optionally, when often obtaining analysis temperature data, the first of these analysis temperature data arithmetic point can be rounded up process by the embodiment of the present invention, obtain the temperature data that rounds off that these analysis temperature data are corresponding, thereby through respectively multiple analysis temperature data being carried out rounding treatment, form the temperature data collection that rounds off according to the sequence of analysis temperature data definite sequence really；
Accordingly, Fig. 3 illustrates another flow chart of the liquidus temperature detection method of the aluminium electrolyte that the embodiment of the present invention provides, and with reference to Fig. 3, the method may include that
Step S300, in the cooling procedure of the aluminium electrolyte of molten state, gather aluminium electrolyte multiple temperature datas, the plurality of temperature data according to acquisition time sort；
Step S310, set up the sliding window of preseting length, with described sliding window according to setting step value, first temperature data from the plurality of temperature data, according to acquisition time order forward slip, enter in sliding window until sliding into last temperature data；
Step S320, slide every time after, with temperature level, the temperature data in described sliding window is ranked up, and takes in described sliding window that the temperature data in centre position is as analysis temperature data, after several times slide, to obtain several analysis temperature data；
Step S330, often determine analysis temperature data, the first of these analysis temperature data arithmetic point is carried out the process that rounds up, obtain the temperature data that rounds off that these analysis temperature data are corresponding, and send into the temperature data collection that rounds off, form the temperature data collection that rounds off according to the sequence of analysis temperature data definite sequence really；
Step S340, the temperature data that described temperature data consecutive identical at least one of concentration that round off rounded off are classified as one group, obtain at least one temperature data group that rounds off；
Step S350, determine described at least one round off in temperature data group, the maximum target of the quantity of temperature data of rounding off rounds off temperature data group, the temperature data of the collection that first temperature data that rounds off in temperature data group that described target rounded off is corresponding, it is determined that for the liquidus temperature of aluminium electrolyte.
Optionally, the embodiment of the present invention also can carry out several times slip and slip terminates at sliding window, formed by several analysis temperature data according to after determining the analysis temperature data set formed that sequentially sorts, each analysis temperature data in analysis temperature data set are carried out rounding treatment, it is determined that go out to round off temperature data collection；
Accordingly, Fig. 4 illustrates another flow chart of the liquidus temperature detection method of the aluminium electrolyte that the embodiment of the present invention provides, and with reference to Fig. 4, the method may include that
Step S400, in the cooling procedure of the aluminium electrolyte of molten state, gather aluminium electrolyte multiple temperature datas, the plurality of temperature data according to acquisition time sort；
Step S410, set up the sliding window of preseting length, with described sliding window according to setting step value, first temperature data from the plurality of temperature data, according to acquisition time order forward slip, enter in sliding window until sliding into last temperature data；
Step S420, slide every time after, with temperature level, the temperature data in described sliding window is ranked up, and takes in described sliding window that the temperature data in centre position is as analysis temperature data, after several times slide, to obtain several analysis temperature data；
Step S430, obtaining by several analysis temperature data according to after determining the analysis temperature data set formed that sequentially sorts, round up process to first arithmetic point of each analysis temperature data in described analysis temperature data set, obtain the temperature data that rounds off that each analysis temperature data are corresponding, formed according to the described temperature data collection that rounds off determining order sequence；
Step S440, the temperature data that described temperature data consecutive identical at least one of concentration that round off rounded off are classified as one group, obtain at least one temperature data group that rounds off；
Step S450, determine described at least one round off in temperature data group, the maximum target of the quantity of temperature data of rounding off rounds off temperature data group, the temperature data of the collection that first temperature data that rounds off in temperature data group that described target rounded off is corresponding, it is determined that for the liquidus temperature of aluminium electrolyte.
Optionally, the liquidus temperature detection method of the aluminium electrolyte that the embodiment of the present invention provides is based on temperature data density algorithm, and its first step is, in medium filtering mode, the multiple temperature datas rejecting gathered is disturbed data, obtains some analysis temperature data；Its second step is by rounding treatment as shown in Figure 3 or Figure 4, it is shown that the data characteristics of each analysis temperature data, concrete, and after the arithmetic point of analysis temperature data first can be rounded up by the embodiment of the present invention, then retains integer；
In implementing process, some analysis temperature data after medium filtering process can be stored in the middle of vector dvec by the embodiment of the present invention, then each analysis temperature data in dvec are carried out rounding treatment, after all of analysis temperature data carry out rounding treatment, the temperature data collection that rounds off according to the sequence of analysis temperature data definite sequence really will be formed, the temperature data that the temperature data that rounds off is concentrated has been carried out the characteristics extraction of initial data, therefore the data characteristics of these data embodies with will be apparent from, can carry out the rounding off grouping of temperature data that temperature data concentrates of feature based value process below, so that finding the temperature range that near the liquidus temperature of aluminium electrolyte, temperature data density is maximum.
Described above the described temperature data that rounds off is concentrated consecutive identical at least one temperature data that rounds off be classified as two principles of a group: the temperature data that rounds off described in being about to concentrates consecutive identical multiple temperature datas that round off to be classified as one group, and concentrates the round off temperature data different from the adjacent temperature data that rounds off to be classified as alone one group the described temperature data that rounds off；
When implementing, the embodiment of the present invention can round off value data size and seriality that temperature data concentrates for according to being grouped into, and in temperature data density algorithm, data characteristics is identical refers to that data are after rounding treatment, and the size of numerical value is identical；The data that the temperature data that rounds off is concentrated can be designated as cset by the embodiment of the present invention, and its process carrying out grouping process be can be such that
1, first data from cset start a to the last ED, are sequentially carried out, it is impossible to jump；
If 2 round off after adjacent temperature data value equal, then be just classified as one group, the data bulk of this group added 1 simultaneously, until when the data that run into data value and this group are unequal, this group is disposed, record data volume counting now, and records the position of this group data initial data；
3, then carry out next group sort out, by counting reset, from upper group of unequal data, repeat 2 steps, successively packet until cset in all data all complete be grouped, obtain multiple temperature data group that rounds off.
Even if it should be noted that between non-conterminous group and group, the numerical value of temperature data is identical, can not be classified as one group.Because the temperature data density algorithm of embodiment of the present invention indication is it is emphasised that location-based data are classified, rather than the classification of simple data, namely consecutive identical multiple temperature datas that round off just are classified as one group；By obtained multiple temperature data groups that round off, Data Position and the accounting of the temperature data concentration that rounds off of the eigenvalue embodying initial data can be analyzed.
After obtaining at least one temperature data group that rounds off, the embodiment of the present invention can determine that the maximum target of temperature data density rounds off temperature data group (the maximum target of the quantity of the temperature data that namely rounds off round off temperature data group), thus it is interval to search out the maximum sample temperature of aluminium electrolyte temperature data density near liquidus temperature, and then the temperature data of the collection that first temperature data that rounds off is corresponding in temperature data group that target is rounded off, liquidus temperature as aluminium electrolyte, determine the liquidus temperature near the sample temperature interval that temperature data density is maximum, realize the detection of the liquidus temperature of aluminium electrolyte.
Preferably, Fig. 5 illustrates the another flow chart of the liquidus temperature detection method of the aluminium electrolyte that the embodiment of the present invention provides, and with reference to Fig. 5, the method may include that
Step S500, in the cooling procedure of the aluminium electrolyte of molten state, gather aluminium electrolyte multiple temperature datas, the plurality of temperature data according to acquisition time sort；
Step S510, set up the sliding window of preseting length, with described sliding window according to setting step value, first temperature data from the plurality of temperature data, according to acquisition time order forward slip, enter in sliding window until sliding into last temperature data；
Step S520, slide every time after, with temperature level, the temperature data in described sliding window is ranked up, and takes in described sliding window that the temperature data in centre position is as analysis temperature data, after several times slide, to obtain several analysis temperature data；
Step S530, obtaining by several analysis temperature data according to after determining the analysis temperature data set formed that sequentially sorts, round up process to first arithmetic point of each analysis temperature data in described analysis temperature data set, obtain the temperature data that rounds off that each analysis temperature data are corresponding, formed according to the described temperature data collection that rounds off determining order sequence；
Step S540, by described round off temperature data concentrate consecutive identical multiple temperature datas that round off be classified as one group, and by described round off temperature data concentrate the round off temperature data different from the adjacent temperature data that rounds off be classified as alone one group；
Step S550, determine described at least one round off in temperature data group, the maximum target of the quantity of temperature data of rounding off rounds off temperature data group, the temperature data of the collection that first temperature data that rounds off in temperature data group that described target rounded off is corresponding, it is determined that for the liquidus temperature of aluminium electrolyte.
Fig. 6 illustrates the liquidus temperature of existing employing cooling curve detection aluminium electrolyte, and the embodiment of the present invention is based on the signal comparison diagram of the liquidus temperature of temperature data density algorithm detection aluminium electrolyte；Fig. 6 be by from collection in worksite to a large amount of initial datas process, depict, with embodiment of the present invention mode, the temperature variation curve that data set is corresponding by cooling curve mode respectively；By contrasting the liquidus temperature point that two ways is demarcated, it can be seen that even if embodiment of the present invention mode is when cooling curve flex point declines or do not have, also can detect liquidus temperature of aluminium electrolyte, walk cold differential mode and then cannot make correct judgement.
Passing through Fig. 6, it can be seen that when cooling curve flex point declines or do not have, the accuracy of the liquidus temperature of embodiment of the present invention detection aluminium electrolyte is substantially better than the cold differential mode of step；And in aluminum electrolysis, owing to different types of additive more or less will be added, therefore in most of the cases, cooling curve flex point declines or does not have, in this case, walk cold difference algorithm usually helpless, cannot be correct detect liquidus temperature of aluminium electrolyte, and now adopt the liquidus temperature detection method of aluminium electrolyte that the embodiment of the present invention provides just can detect liquidus temperature of aluminium electrolyte by real-time online, promote the accuracy of the liquidus temperature testing result of aluminium electrolyte.
Below the liquidus temperature detecting device of the aluminium electrolyte that the embodiment of the present invention provides being introduced, the liquidus temperature detecting device of aluminium electrolyte described below can with the liquidus temperature detection method of above-described aluminium electrolyte mutually to should refer to.
The structured flowchart of the liquidus temperature detecting device of the aluminium electrolyte that Fig. 7 provides for the embodiment of the present invention, the liquidus temperature detecting device of this aluminium electrolyte can be applicable to the electronic equipment with data-handling capacity, and with reference to Fig. 7, this device may include that
Temperature collect module 100, for, in the cooling procedure of the aluminium electrolyte of molten state, gathering multiple temperature datas of aluminium electrolyte, the plurality of temperature data sorts according to acquisition time；
Reject interference module 200, for rejecting the interference temperature data of the plurality of temperature data, it is determined that some analysis temperature data；
Rounding treatment module 300, for described some analysis temperature data definite sequences really, sequentially each analysis temperature data being carried out rounding treatment, obtains the temperature data that rounds off that each analysis temperature data are corresponding, forms the temperature data collection that rounds off；
It is grouped into module 400, is classified as one group for the temperature data that described temperature data consecutive identical at least one of concentration that round off rounded off, obtains at least one temperature data group that rounds off；
Liquidus temperature determines module 500, described in determining, at least one rounds off in temperature data group, the maximum target of the quantity of temperature data of rounding off rounds off temperature data group, the temperature data of the collection that first temperature data that rounds off in temperature data group that described target rounded off is corresponding, it is determined that for the liquidus temperature of aluminium electrolyte.
Optionally, Fig. 8 illustrates the optional structure of the rejecting interference module 200 that the embodiment of the present invention provides, and with reference to Fig. 8, rejects interference module 200 and may include that
Sliding window unit 210, for setting up the sliding window of preseting length, with described sliding window according to setting step value, first temperature data from the plurality of temperature data, according to acquisition time order forward slip, enter in sliding window until sliding into last temperature data；
Value unit 220 after slip, after sliding, with temperature level, the temperature data in described sliding window is ranked up every time, and takes in described sliding window the temperature data in centre position as analysis temperature data,, after several times slide, to obtain several analysis temperature data.
Optionally, Fig. 9 illustrates the optional structure of one of rounding treatment module 300, and with reference to Fig. 9, rounding treatment module 300 may include that
First rounding treatment unit 310, for often determining analysis temperature data, the first of these analysis temperature data arithmetic point is carried out the process that rounds up, obtain the temperature data that rounds off that these analysis temperature data are corresponding, and send into the temperature data collection that rounds off, formed according to the described temperature data collection that rounds off determining order sequence.
Optionally, Figure 10 illustrates the optional structure of another kind of rounding treatment module 300, and with reference to Figure 10, rounding treatment module 300 may include that
Second rounding treatment unit 320, for obtaining by several analysis temperature data according to after determining the analysis temperature data set formed that sequentially sorts, round up process to first arithmetic point of each analysis temperature data in described analysis temperature data set, obtain the temperature data that rounds off that each analysis temperature data are corresponding, formed according to the described temperature data collection that rounds off determining order sequence.
Optionally, Figure 11 illustrates the optional structure of the grouping module 400 that the embodiment of the present invention provides, and with reference to Figure 11, is grouped into module 400 and may include that
First is grouped into unit 410, for concentrating consecutive identical multiple temperature datas that round off to be classified as one group the described temperature data that rounds off；
Second is grouped into unit 420, for concentrating the round off temperature data different from the adjacent temperature data that rounds off to be classified as alone one group the described temperature data that rounds off.
Optionally, Figure 12 illustrates another structured flowchart of the liquidus temperature detecting device of the aluminium electrolyte that the embodiment of the present invention provides, and in conjunction with shown in Fig. 7 and Figure 12, this device can also include:
Counting module 600, for for the temperature data group that respectively rounds off, the temperature data group that rounds off add one round off temperature data time, numeration is added 1, with after the temperature data group that respectively rounded off, the quantity of the temperature data that rounds off respectively rounded off in temperature data group that counts out.
Liquidus temperature determines that module 500 can be passed through counting module 600 and determine the quantity of the temperature data that rounds off of the temperature data group that respectively rounds off, the temperature data group so that it is determined that the maximum target of the quantity that goes out the temperature data that rounds off rounds off.
The liquidus temperature detecting device of the aluminium electrolyte that the embodiment of the present invention provides, can cooling curve flex point when declining or do not have, detect liquidus temperature of aluminium electrolyte, and liquidus temperature of aluminium electrolyte can be detected by real-time online, promote the accuracy of the liquidus temperature testing result of aluminium electrolyte.
In this specification, each embodiment adopts the mode gone forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually referring to.For device disclosed in embodiment, owing to it corresponds to the method disclosed in Example, so what describe is fairly simple, relevant part illustrates referring to method part.
Professional further appreciates that, the unit of each example described in conjunction with the embodiments described herein and algorithm steps, can with electronic hardware, computer software or the two be implemented in combination in, in order to clearly demonstrate the interchangeability of hardware and software, generally describe composition and the step of each example in the above description according to function.These functions perform with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.Professional and technical personnel specifically can should be used for using different methods to realize described function to each, but this realization is it is not considered that beyond the scope of this invention.
The method described in conjunction with the embodiments described herein or the step of algorithm can directly use the software module that hardware, processor perform, or the combination of the two is implemented.Software module can be placed in any other form of storage medium known in random access memory (RAM), internal memory, read only memory (ROM), electrically programmable ROM, electrically erasable ROM, depositor, hard disk, moveable magnetic disc, CD-ROM or technical field.
Described above to the disclosed embodiments, makes professional and technical personnel in the field be capable of or uses the present invention.The multiple amendment of these embodiments be will be apparent from for those skilled in the art, and generic principles defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention is not intended to be limited to the embodiments shown herein, and is to fit to the widest scope consistent with principles disclosed herein and features of novelty.
Claims (10)
1. the liquidus temperature detection method of an aluminium electrolyte, it is characterised in that including:
In the cooling procedure of the aluminium electrolyte of molten state, gathering multiple temperature datas of aluminium electrolyte, the plurality of temperature data sorts according to acquisition time；
Reject the interference temperature data of the plurality of temperature data, determine some analysis temperature data, and with described some analysis temperature data definite sequences really, sequentially each analysis temperature data are carried out rounding treatment, obtain the temperature data that rounds off that each analysis temperature data are corresponding, form the temperature data collection that rounds off；
The temperature data that described temperature data consecutive identical at least one of concentration that round off rounded off is classified as one group, obtains at least one temperature data group that rounds off；
Described in determining, at least one rounds off in temperature data group, the maximum target of the quantity of temperature data of rounding off rounds off temperature data group, the temperature data of the collection that first temperature data that rounds off in temperature data group that described target rounded off is corresponding, it is determined that for the liquidus temperature of aluminium electrolyte.
2. the liquidus temperature detection method of aluminium electrolyte according to claim 1, it is characterised in that the interference temperature data of the plurality of temperature data of described rejecting, it is determined that some analysis temperature data include:
Setting up the sliding window of preseting length, with described sliding window according to setting step value, first temperature data from the plurality of temperature data, according to acquisition time order forward slip, entering in sliding window until sliding into last temperature data；
Slide every time after, with temperature level, the temperature data in described sliding window is ranked up, and takes in described sliding window that the temperature data in centre position is as analysis temperature data, after several times slide, to obtain several analysis temperature data.
3. the liquidus temperature detection method of aluminium electrolyte according to claim 2, it is characterized in that, with described some analysis temperature data definite sequences really, sequentially each analysis temperature data are carried out rounding treatment, obtain the temperature data that rounds off that each analysis temperature data are corresponding, form the temperature data collection that rounds off and include:
Often determine analysis temperature data, the first of these analysis temperature data arithmetic point is carried out the process that rounds up, obtain the temperature data that rounds off that these analysis temperature data are corresponding, and send into the temperature data collection that rounds off, formed according to the described temperature data collection that rounds off determining order sequence；
Or, obtaining by several analysis temperature data according to after determining the analysis temperature data set formed that sequentially sorts, round up process to first arithmetic point of each analysis temperature data in described analysis temperature data set, obtain the temperature data that rounds off that each analysis temperature data are corresponding, formed according to the described temperature data collection that rounds off determining order sequence.
4. the liquidus temperature detection method of aluminium electrolyte according to claim 1, it is characterised in that the described temperature data that described temperature data consecutive identical at least one of concentration that round off rounded off is classified as a group, obtains at least one temperature data group that rounds off and includes:
Concentrate consecutive identical multiple temperature datas that round off to be classified as one group the described temperature data that rounds off, and concentrate the round off temperature data different from the adjacent temperature data that rounds off to be classified as alone one group the described temperature data that rounds off.
5. the liquidus temperature detection method of aluminium electrolyte according to claim 1, it is characterised in that described method also includes:
For the temperature data group that respectively rounds off, the temperature data group that rounds off add one round off temperature data time, numeration is added 1, with after the temperature data group that respectively rounded off, the quantity of the temperature data that rounds off respectively rounded off in temperature data group that counts out.
6. the liquidus temperature detecting device of an aluminium electrolyte, it is characterised in that including:
Temperature collect module, for, in the cooling procedure of the aluminium electrolyte of molten state, gathering multiple temperature datas of aluminium electrolyte, the plurality of temperature data sorts according to acquisition time；
Reject interference module, for rejecting the interference temperature data of the plurality of temperature data, it is determined that some analysis temperature data；
Rounding treatment module, for described some analysis temperature data definite sequences really, sequentially each analysis temperature data being carried out rounding treatment, obtains the temperature data that rounds off that each analysis temperature data are corresponding, forms the temperature data collection that rounds off；
It is grouped into module, is classified as one group for the temperature data that described temperature data consecutive identical at least one of concentration that round off rounded off, obtains at least one temperature data group that rounds off；
Liquidus temperature determines module, described in determining, at least one rounds off in temperature data group, the maximum target of the quantity of temperature data of rounding off rounds off temperature data group, the temperature data of the collection that first temperature data that rounds off in temperature data group that described target rounded off is corresponding, it is determined that for the liquidus temperature of aluminium electrolyte.
7. the liquidus temperature detecting device of aluminium electrolyte according to claim 6, it is characterised in that described rejecting interference module includes:
Sliding window unit, for setting up the sliding window of preseting length, with described sliding window according to setting step value, first temperature data from the plurality of temperature data, according to acquisition time order forward slip, enter in sliding window until sliding into last temperature data；
Value unit after slip, after sliding, with temperature level, the temperature data in described sliding window is ranked up every time, and takes in described sliding window the temperature data in centre position as analysis temperature data,, after several times slide, to obtain several analysis temperature data.
8. the liquidus temperature detecting device of aluminium electrolyte according to claim 7, it is characterised in that described rounding treatment module includes:
First rounding treatment unit, for often determining analysis temperature data, the first of these analysis temperature data arithmetic point is carried out the process that rounds up, obtain the temperature data that rounds off that these analysis temperature data are corresponding, and send into the temperature data collection that rounds off, formed according to the described temperature data collection that rounds off determining order sequence；
Or, second rounding treatment unit, for obtaining by several analysis temperature data according to after determining the analysis temperature data set formed that sequentially sorts, round up process to first arithmetic point of each analysis temperature data in described analysis temperature data set, obtain the temperature data that rounds off that each analysis temperature data are corresponding, formed according to the described temperature data collection that rounds off determining order sequence.
9. the liquidus temperature detecting device of aluminium electrolyte according to claim 6, it is characterised in that described grouping module includes:
First is grouped into unit, for concentrating consecutive identical multiple temperature datas that round off to be classified as one group the described temperature data that rounds off；
Second is grouped into unit, for concentrating the round off temperature data different from the adjacent temperature data that rounds off to be classified as alone one group the described temperature data that rounds off.
10. the liquidus temperature detecting device of aluminium electrolyte according to claim 6, it is characterised in that described device also includes:
Counting module, for for the temperature data group that respectively rounds off, the temperature data group that rounds off add one round off temperature data time, numeration is added 1, with after the temperature data group that respectively rounded off, the quantity of the temperature data that rounds off respectively rounded off in temperature data group that counts out.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115219062A (en) * | 2022-04-18 | 2022-10-21 | 广州汽车集团股份有限公司 | Temperature determination method and device of equipment, equipment and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10323747A (en) * | 1997-05-26 | 1998-12-08 | Toyota Autom Loom Works Ltd | Manufacture of alloy of aluminum and silicon |
| CN2711729Y (en) * | 2003-12-25 | 2005-07-20 | 冯乃祥 | Measurer for aluminium electrolyte fusant temperature, primary crystal temperature and overheat degree |
| CN2852120Y (en) * | 2005-07-29 | 2006-12-27 | 沈阳东英冶金工程科技有限公司 | Aluminium electrolyte overheating degree measurer |
| CN101140187A (en) * | 2007-01-23 | 2008-03-12 | 韩伟 | Primary crystal temperature measurement equipment of aluminium electrolysis electrolytes |
| CN201041519Y (en) * | 2006-07-10 | 2008-03-26 | 中国铝业股份有限公司 | An onsite measurement device for aluminum electrolyte initial crystal temperature |
| CN101343754A (en) * | 2008-08-15 | 2009-01-14 | 东北大学设计研究院（有限公司） | Aluminum cell electrolyte superheat degree detecting instrument |
| CN101871821A (en) * | 2009-04-23 | 2010-10-27 | 亚太电效系统(珠海)有限公司 | Electrolyte primary crystal temperature measuring method |
| CN102494789A (en) * | 2011-12-28 | 2012-06-13 | 东北大学 | Device and method for measuring aluminum electrolyte temperature and liquidus temperature |
| CN103926014A (en) * | 2013-01-14 | 2014-07-16 | 中南大学 | Temperature measuring method and system for aluminum electrolysis primary crystal |
-
2016
- 2016-03-10 CN CN201610136370.7A patent/CN105738403A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH10323747A (en) * | 1997-05-26 | 1998-12-08 | Toyota Autom Loom Works Ltd | Manufacture of alloy of aluminum and silicon |
| CN2711729Y (en) * | 2003-12-25 | 2005-07-20 | 冯乃祥 | Measurer for aluminium electrolyte fusant temperature, primary crystal temperature and overheat degree |
| CN2852120Y (en) * | 2005-07-29 | 2006-12-27 | 沈阳东英冶金工程科技有限公司 | Aluminium electrolyte overheating degree measurer |
| CN201041519Y (en) * | 2006-07-10 | 2008-03-26 | 中国铝业股份有限公司 | An onsite measurement device for aluminum electrolyte initial crystal temperature |
| CN101140187A (en) * | 2007-01-23 | 2008-03-12 | 韩伟 | Primary crystal temperature measurement equipment of aluminium electrolysis electrolytes |
| CN101343754A (en) * | 2008-08-15 | 2009-01-14 | 东北大学设计研究院（有限公司） | Aluminum cell electrolyte superheat degree detecting instrument |
| CN101871821A (en) * | 2009-04-23 | 2010-10-27 | 亚太电效系统(珠海)有限公司 | Electrolyte primary crystal temperature measuring method |
| CN102494789A (en) * | 2011-12-28 | 2012-06-13 | 东北大学 | Device and method for measuring aluminum electrolyte temperature and liquidus temperature |
| CN103926014A (en) * | 2013-01-14 | 2014-07-16 | 中南大学 | Temperature measuring method and system for aluminum electrolysis primary crystal |
Non-Patent Citations (3)
| Title |
|---|
| 于重重 等: "《监测系统中智能信息处理技术》", 31 December 2013, 机械工业出版社 * |
| 吴磊: "初晶温度在线检测中数据实时处理的方法", 《计算机测量与控制》 * |
| 翟云飞: "基于嵌入式Linux的初晶温度系统软件设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115219062A (en) * | 2022-04-18 | 2022-10-21 | 广州汽车集团股份有限公司 | Temperature determination method and device of equipment, equipment and storage medium |
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