CN109684605A - A kind of data error processing method and processing device for metal balance - Google Patents
A kind of data error processing method and processing device for metal balance Download PDFInfo
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Abstract
The invention discloses a kind of data error processing method and processing devices of metal balance, it include: the metal balance data obtained in metal balance table, appreciable error analysis is carried out to said metal equilibrium data, reject the metal balance data with appreciable error, Coordination Treatment is carried out to the metal balance data, so that said metal equilibrium data meets preset constraint condition.In this way, improving the accuracy rate of metal balance data by weeding out the data in metal balance tables of data with appreciable error, being conducive to the work of guidance technology personnel.
Description
Technical field
The present invention relates to field of smelting more particularly to a kind of data error processing method and processing devices for metal balance.
Background technique
Metal balance is one integrated technology management work of smelting enterprise, and metal balance reaction is into factory's raw ore metal
The equilibrium relation between tenor in content and factory concentrate metal and tailing.Metal balance table is generallyd use to react gold
Belong to equilibrium relation.In metal balance table include many index, for example, ore handling capacity, head grade, factory concentrate amount,
Concentrate grade, tenor, the rate of recovery, tailing amount and tailings grade.Metal balance table is divided into Theoretical Equilibrium table again and reality is flat
Weigh table, the loss during wherein Theoretical Equilibrium table does not consider, and real balance table obtains according to the actual situation.
But real balance table during acquisition due to more than influence factor and complicated, and by material metering, sampling,
It makes an inventory, the influence of check analysis error factors, the accuracy rate of metal balance data is to be improved in metal balance table.
Summary of the invention
In view of this, being eliminated the invention discloses a kind of data error processing method and processing device for metal balance
With the data of appreciable error in metal balance tables of data, the accuracy rate of metal balance data is improved.
A kind of data error processing method for metal balance characterized by comprising
Obtain the metal balance data in metal balance table；
Appreciable error analysis is carried out to the metal balance data, rejects the metal balance data with appreciable error；
Coordination Treatment is carried out to the metal balance data.
Optionally, described that appreciable error analysis is carried out to the metal balance data, reject the metal with appreciable error
Equilibrium data, comprising:
The measured value of the weight in the metal balance data is analyzed using whole detection method and trial and error procedure, is rejected
The measured value of weight in the metal balance data with appreciable error；
It is analyzed according to measured value of the first predicted value of grade to grade in the metal balance data, described in rejecting
The measured value of grade in metal balance data with appreciable error；First predicted value is the measured value by history grade
It is calculated；
It is analyzed according to measured value of the second predicted value of grade to grade in the metal balance data, described in rejecting
The measured value of grade in metal balance data with appreciable error；Second predicted value is according to conservation of matter law and life
What production. art determined.
Optionally, the measured value of the weight in the metal balance data is divided using whole detection method and trial and error procedure
The measured value of the weight in the metal balance data with appreciable error is rejected in analysis, comprising:
Whether the measured value for judging the weight in the metal balance data includes conspicuousness error；
If filtering out the measurement of the first object with doubtful appreciable error by whole detection algorithm comprising conspicuousness error
Value；
The second target measurement value with appreciable error is filtered out from the target measurement value by trial and error procedure.
Optionally, described that the first object measured value with doubtful appreciable error is filtered out by whole detection algorithm, packet
It includes:
Reject the measured value of any one weight one by one according to preset sequence；
After the measured value for weeding out a weight every time, the measured value according to remaining weight calculates the second objective function
Value；
The corresponding weight of the second target function value for meeting preset condition is filtered out from second target function value
Measured value obtains the second target measurement value.
Optionally, second target filtered out from the target measurement value by trial and error procedure with appreciable error is surveyed
Magnitude, comprising:
According to the measured value of other metal balance items at least one first object measured value and the metal balance data,
Calculate adjusted value；The others metal balance item is other projects in addition to weight；
According to third target function value described in the multiple adjustment calculation；
Filter out the corresponding first object measurement of at least one the smallest third target function value.
Optionally, further includes:
It is directed to any one material type of grade, obtains the object from the history metal balance data in a period of time
Expect multiple measured values of the grade of type；
Calculate the mean value and variance of multiple measured values of the grade of the material type；
The first predicted value is calculated according to the mean value and variance.
The embodiment of the invention discloses a kind of data error processing units of metal balance, comprising:
Acquiring unit, for obtaining the metal balance data in metal balance table；
Appreciable error analytical unit, for carrying out appreciable error analysis to the metal balance data, rejecting has significantly
The metal balance data of error；
Coordination Treatment unit, for carrying out Coordination Treatment to the metal balance data.
Optionally, the appreciable error analytical unit, comprising:
Subelement is analyzed in first appreciable error, for using whole detection method and trial and error procedure in the metal balance data
The measured value of weight analyzed, reject the measured value of the weight in the metal balance data with appreciable error；
Subelement is analyzed in second appreciable error, for the first predicted value according to grade to product in the metal balance data
The measured value of position is analyzed, and the measured value of the grade in the metal balance data with appreciable error is rejected；Described first
Predicted value is calculated by the measured value of history grade；
Subelement is analyzed in third appreciable error, for the second predicted value according to grade to product in the metal balance data
The measured value of position is analyzed, and the measured value of the grade in the metal balance data with appreciable error is rejected；Described second
Predicted value is determined according to conservation of matter law and production technology.
Optionally, subelement is analyzed in first appreciable error, comprising:
Judgment sub-unit, for judging whether the measured value of the weight in the metal balance data includes that conspicuousness is missed
Difference；
Subelement is screened in doubtful appreciable error, if being provided for comprising conspicuousness error by the screening of whole detection algorithm
There is the first object measured value of doubtful appreciable error；
Subelement is analyzed in 4th appreciable error, is had for significantly being filtered out from the target measurement value by trial and error procedure
Second target measurement value of appreciable error.
Optionally, subelement is screened in doubtful appreciable error, comprising:
Sequence rejects subelement, for rejecting the measured value of any one weight one by one according to preset sequence；
Second target function value computation subunit, after the measured value for weeding out a weight every time, according to remaining
Weight measured value calculate the second target function value；
Second target measurement value screens subelement, meets preset condition for filtering out from second target function value
The corresponding weight of the second target function value measured value, obtain the second target measurement value.
The embodiment of the invention discloses a kind of data error processing method and processing devices of metal balance, comprising: obtains metal
Metal balance data in balance sheet carry out appreciable error analysis to said metal equilibrium data, and rejecting has appreciable error
Metal balance data, to the metal balance data carry out Coordination Treatment so that said metal equilibrium data meet it is preset about
Beam condition.In this way, improving metal balance data by weeding out the data in metal balance tables of data with appreciable error
Accuracy rate is conducive to the work of guidance technology personnel.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
The process that Fig. 1 shows a kind of data error processing method for metal balance provided in an embodiment of the present invention is shown
It is intended to；
Fig. 2 shows a kind of flow diagrams for the method for rejecting conspicuousness error provided in an embodiment of the present invention；
Fig. 3 shows a kind of data error processing unit for metal balance provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
With reference to Fig. 1, a kind of data error processing method for metal balance provided in an embodiment of the present invention is shown
Flow diagram, in the present embodiment, this method comprises:
S101: the metal balance data in metal balance table are obtained；
In the present embodiment, metal balance data are the data in the metal balance table of actual measurement, metal balance data packet
Multinomial data in table containing metal balance, such as may include: ore handling capacity, head grade, factory concentrate amount, concentrate product
Position, tenor, the rate of recovery, tailing amount and any one or multinomial in tailings grade.
S102: appreciable error analysis is carried out to the metal balance data, rejects the metal balance number with appreciable error
According to；
In the present embodiment, metal appreciable error is the data having a significant impact to metal balance data, can be by significant
Property error-detecting, detects the appreciable error in metal balance data.
In the present embodiment, metal balance data can be analyzed by whole detection method and trial and error procedure, to sieve
Select the measured value of the weight with appreciable error；By test obtained history metal balance data to the measured value of grade into
Row prediction, to filter out the measured value for not meeting the grade of prediction result, according to technique and conservation of matter law to grade into
Row prediction, to filter out the measured value for not meeting the grade of prediction case.Hereinafter, the analysis of appreciable error can be carried out detailed
Thin introduction, just repeats no more herein.
S103: Coordination Treatment is carried out to the metal balance data.
In the present embodiment, metal balance data can establish the data association of with constraint conditions after appreciable error detects
Mode transfer type, and by the optimal solution of preset method calculating data harmonization model, which meets constraint condition, this
Sample, the coordination value of all data, allows metal balance data preferably to assist scene in available metal balance data
Statistician carries out the balance optimizing work of material, resource and production process.
For example: it can establish the data harmonization model of the least-squares estimation of with constraint conditions, and using relevant
Algorithm solves data Coordination Model.Data Coordination Model can wherein be solved by many algorithms, this implementation
Without limiting in example.
Wherein, data harmonization model is calculated by the method for least-squares estimation, which can be by such as
Under formula 1) calculate:
Wherein, XmFor the measured value of material quantity,For the coordination value of material quantity, n is the element species for needing to coordinate
Number,For the measured value of i-th kind of element grade in each material,For the coordination of i-th kind of element grade in each material
Value, for the material quantity or element grade for not needing to coordinate, thenOrBecome to eliminate
Measure order of magnitude difference influences on result bring is coordinated, QxFor the variance covariance matrix of corresponding material, by relative standard deviation
It calculates and obtains, wherein the variance calculation formula of j-th of material are as follows: qx (j)=(σx (j)·xm (j))2, wherein σx (j)For j-th of material
Relative standard deviation；The variance matrix of grade is corresponded to for i-th kind of element, corresponds to the variance calculation formula of j-th of material
Are as follows:WhereinFor the relative standard deviation of the element i of corresponding j-th of material.
According to data harmonization model above, the optimal solution of data harmonization model can be calculated by related algorithm, with
The constraint condition for keeping metal balance data fit above-mentioned.
In addition to this, in order to simplify the data harmonization model, quickening solving speed can also carry out dimensionality reduction to the model,
Then the model after dimensionality reduction is solved by related algorithm.
In the present embodiment, have the metal of appreciable error flat by carrying out appreciable error analysis rejecting to metal balance data
Weigh data, and more accurate metal balance table available in this way is more advantageous to the work of guidance technology personnel.
With reference to Fig. 2, a kind of flow diagram of method for rejecting conspicuousness error provided in an embodiment of the present invention is shown,
In the present embodiment, this method comprises:
S201: analyzing the weight in the metal balance data using whole detection method and trial and error procedure, rejects tool
There is the measured value of the weight of appreciable error；
Specifically, S201 includes:
Whether the measured value for judging the weight in the metal balance data includes conspicuousness error；
If filtering out the measurement of the first object with doubtful appreciable error by whole detection algorithm comprising conspicuousness error
Value；
By trial and error procedure, the second target measurement value with appreciable error is filtered out from the first object measured value.
Wherein, for whether include conspicuousness error judgement, specifically include:
Measured value according to all wt in metal balance tables of data calculates first object functional value；
Judge whether the first object functional value is less than or equal to preset critical value；
If being less than or equal to preset critical value, indicate in the measured value of the weight in the metal balance tables of data comprising tool
There is the numerical value of conspicuousness error.
For example: first object functional value can pass through following formula 2) it is calculated:
Wherein, r=AXmFor constraint equation residual error, J=AQxATFor the variance for constraining residual error, XmFor the measured value of weight,
For the desired value of the measured value of weight.
Wherein, k(i)(j)To constrain coefficient obtained by reduction by the rate of recovery.
Calculating for critical value: significance and freedom degree are determined, and in χ2It is searched in distribution table and obtains critical value.
Such as: assuming that taking level of significance α=0.1, freedom degree is the order of matrix A, in χ2It is searched in distribution table and obtains critical value.
Wherein, the method for the first object measured value with doubtful appreciable error being filtered out by whole detection algorithm, tool
Body includes:
Reject the measured value of any one weight one by one according to preset sequence；
After the measured value for weeding out a weight every time, the measured value according to remaining weight calculates the second objective function
Value；
The survey for meeting the corresponding weight of the second objective function of preset condition is filtered out from second target function value
Magnitude obtains first object measured value.
For example: a certain item measured value of weight is successively rejected when implementation sequence scalping method, then coefficient matrix divides are as follows:
4) A=[Au Ac]；
Variance matrix updates are as follows:
Wherein u indicates the set of measurements not being removed, and c indicates a certain measured value being removed, and Δ Q expression is removed survey
The variance increment of magnitude.
Then reject the variance that residual error is constrained after the measured value are as follows:
6)Jnew=AQnewAT=J+Ac(ΔQ)Ac T；
Due to rejecting certain measured value, being equal to makes Δ Q → ∞, then JnewInverse matrix are as follows:
7)Jnew -1=J-1-J-1Ac(Ac TJ-1Ac)-1Ac TJ-1；
Corresponding second target function value is then are as follows:
8)P(j)=rTJnewr。
In the present embodiment, preset condition are as follows: lesser second target function value of numerical value, specific screening process for example may be used
To include:
Second target function value is subjected to ascending sort；
Using the measured value of the corresponding weight of top n target function value as target measurement value.That is, filtering out numerical value
Lesser second target function value.
Wherein, the number of N can be what technical staff was arranged according to the actual situation.
Wherein, by trial and error procedure, the second target measurement value with appreciable error is filtered out from the target measurement value
Specific method include:
According to the measured value of other metal balance items at least one first object measured value and the metal balance data,
Calculate adjusted value；The others metal balance item is other projects in addition to weight；
Third target function value according to first object measured value described in the adjustment calculation；
The corresponding first object measurement of at least one the smallest third target function value is filtered out, the second target measurement is obtained
Value.
May include two kinds of following embodiments in the present embodiment:
Embodiment one: a first object measured value is gathered in examination, and principle is the measured value for only adjusting a weight according to this,
It constrains the rate of recovery utmostly to be met, and makes to constrain the smallest weight measurement appreciable error item of residual error.
Embodiment two: two first object measured values are gathered in examination, and principle is the measured value for only adjusting two weight according to this,
It constrains the rate of recovery utmostly to be met, and makes to constrain the smallest two weight measurements appreciable error item of residual error.
It is directed to embodiment one:
Consider rate of recovery constraint are as follows:
Then constrain residual error are as follows:
10)
Wherein p is the population of measured values of measured weight to be checked, k(i)(j)To constrain coefficient obtained by reduction by the rate of recovery, work as adjustment
When the measured value of a few weight, then constraining residual error becomes:
11)rnew (i)=r(i)+∑k(i)(j)·Δx(j)·wm (i)(j)(i=1,2 ... n)；
Wherein Δ x(j)For the adjustment amount of j-th of weight of material measured value.
When trying to gather a weight measurement, constraint residual error becomes:
12)rnew (i)=r(i)+Δx(j)·wk (i)(j)(i=1,2 ... n)；
Wherein, 13) wk (i)(j)=k(i)(j)·wm (i)(j)；
It obtains the rate of recovery to meet to the limit, then sets the quadratic sum of constraint residual error as objective function:
14)s.t.xm (j)+Δx(j)≥0；
Objective function is to Δ x(j)Derivation, and make it equal to zero and obtain:
15)
Adjustment amount can be obtained are as follows:
16)
If xm (j)+Δx(j)< 0 makes Δ x(j)=-xm (j), then gained Δ x(j)To make the rate of recovery constrain to obtain maximum satisfaction
When, the adjustment amount of j-th of weight of material measured value, corresponding third target function value are as follows:
17)
Obtained all third target function values are ranked up according to numerical values recited；Filter out the smallest third mesh of numerical value
The corresponding first object measured value of offer of tender numerical value, obtains the second target measurement value.
It is directed to embodiment two:
(the case where two weight measurements are not same item is only considered) when trying to gather two weight measurements, and constraint residual error becomes
Are as follows:
18)rnew (i)=r(i)+Δx(j)·wk (i)(j)+Δx(l)·wk (i)(l)(i=1,2 ... n)；
It obtains the rate of recovery to meet to the limit, then sets the quadratic sum of constraint residual error as objective function:
s.t.xm (j)+Δx(j)≥0
19)xm (l)+Δx(l)≥0；
Objective function is to Δ x(j), Δ x(l)Local derviation is sought, and makes it equal to zero and obtains:
20)
It arranges:
21)
Adjustment amount can be obtained are as follows:
22)
X if it existsm (j)+Δx(j)< 0 or xm (l)+Δx(l)< 0 then divides following three kinds of situation discussion.
A. only Δ x(j)Nonnegativity restrictions limitation is touched, Δ x is made(j)=-xm (j), then:
23)
If xm (l)+Δx(l)< 0 then abandons this as a result, otherwise calculating target function value；
B. only Δ x(l)Nonnegativity restrictions limitation is touched, Δ x is made(l)=-xm (l), then
24)
If xm (j)+Δx(j)< 0 then abandons this as a result, otherwise calculating target function value:
c.Δx(j),Δx(l)Nonnegativity restrictions limitation is touched, Δ x is made(j)=-xm (j), Δ x(l)=-xm(l), calculate target
Functional value.
More above-mentioned three kinds of situation target function values (if result is not abandoned), taking makes the smallest Δ x of target function value(j),
Δx(l), for make the rate of recovery constrain to obtain maximum meet when, i-th and j weight of material measured value adjustment amount, corresponding
Three target function values are as follows:
25)
All third target function values obtained above are ranked up according to numerical values recited；It is the smallest by two to filter out numerical value
The corresponding first object measured value of item third target function value, obtains the second target measurement value.
Wherein, the smallest two third target function values of numerical value, can by third objective function carry out ascending order arrangement after,
Come two third target function values of forefront.
S202: it is analyzed, is picked according to measured value of the first predicted value of grade to grade in the metal balance data
Except the measured value of the grade in the metal balance data with appreciable error；First predicted value is by history grade
What measured value was calculated；
In the present embodiment, the calculating process to the first predicted value includes:
It is directed to any one material type of grade, obtains the object from the history metal balance data in a period of time
Expect multiple measured values of the grade of type；
Calculate the mean value and variance of multiple measured values of the grade of the material type；
The first predicted value is calculated according to the mean value and variance.
In the present embodiment, it is assumed that the mean value being calculated is μ, variance δ, according to the original of P (| x- μ | 3 δ of >)≤0.003
Then calculating the first upper limit threshold is+3 δ of μ, and the first lower threshold is μ -3 δ.
Wherein, the first predicted value is the first upper limit threshold and the first lower threshold, when the measured value of grade is greater than on first
It limits threshold value or when less than the first lower threshold, indicates that the measured value of the grade has appreciable error.
S203: it is analyzed, is picked according to measured value of the second predicted value of grade to grade in the metal balance data
Except the measured value of the grade in the metal balance data with appreciable error；Second predicted value is fixed according to conservation of matter
What rule and production technology determined.
In the present embodiment, according to conservation of matter law and production technology, the of the measured value of a certain material grade is predicted
Two predicted values, second predicted value can be expressed as the second upper limit threshold and the second lower threshold.
In the present embodiment, have the metal of appreciable error flat by carrying out appreciable error analysis rejecting to metal balance data
Weigh data, and more accurate metal balance table available in this way is more advantageous to the work of guidance technology personnel.
With reference to Fig. 3, a kind of data error processing unit for metal balance provided in an embodiment of the present invention is shown
Structural schematic diagram, in the present embodiment, which includes:
Acquiring unit 301, for obtaining the metal balance data in metal balance table；
Appreciable error analytical unit 302 is rejected for carrying out appreciable error analysis to the metal balance data with aobvious
Write the metal balance data of error；
Coordination Treatment unit 303, for carrying out Coordination Treatment to the metal balance data.
Optionally, the appreciable error analytical unit, comprising:
Subelement is analyzed in first appreciable error, for using whole detection method and trial and error procedure in the metal balance data
The measured value of weight analyzed, reject the measured value of the weight in the metal balance data with appreciable error；
Subelement is analyzed in second appreciable error, for the first predicted value according to grade to product in the metal balance data
The measured value of position is analyzed, and the measured value of the grade in the metal balance data with appreciable error is rejected；Described first
Predicted value is calculated by the measured value of history grade；
Subelement is analyzed in third appreciable error, for the second predicted value according to grade to product in the metal balance data
The measured value of position is analyzed, and the measured value of the grade in the metal balance data with appreciable error is rejected；Described second
Predicted value is determined according to conservation of matter law and production technology.
Optionally, subelement is analyzed in first appreciable error, comprising:
Judgment sub-unit, for judging whether the measured value of the weight in the metal balance data includes that conspicuousness is missed
Difference；
Subelement is screened in doubtful appreciable error, if being provided for comprising conspicuousness error by the screening of whole detection algorithm
There is the first object measured value of doubtful appreciable error；
Subelement is analyzed in 4th appreciable error, is had for significantly being filtered out from the target measurement value by trial and error procedure
Second target measurement value of appreciable error.
Optionally, subelement is screened in doubtful appreciable error, comprising:
Sequence rejects subelement, for rejecting the measured value of any one weight one by one according to preset sequence；
Second target function value computation subunit, after the measured value for weeding out a weight every time, according to remaining
Weight measured value calculate the second target function value；
Second target function value screens subelement, meets preset condition for filtering out from second target function value
The corresponding weight of the second target function value measured value, obtain the second target measurement value.
Device through this embodiment carries out appreciable error analysis to metal balance data and rejects the gold with appreciable error
Belong to equilibrium data, more accurate metal balance table available in this way is more advantageous to the work of guidance technology personnel.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight
Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other.
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 data error processing method for metal balance characterized by comprising
Obtain the metal balance data in metal balance table；
Appreciable error analysis is carried out to the metal balance data, rejects the metal balance data with appreciable error；
Coordination Treatment is carried out to the metal balance data.
2. data source error processing method according to claim 1, which is characterized in that described to the metal balance data
Appreciable error analysis is carried out, the metal balance data with appreciable error are rejected, comprising:
The measured value of the weight in the metal balance data is analyzed using whole detection method and trial and error procedure, described in rejecting
The measured value of weight in metal balance data with appreciable error；
It is analyzed according to measured value of the first predicted value of grade to grade in the metal balance data, rejects the metal
The measured value of grade in equilibrium data with appreciable error；First predicted value is calculated by the measured value of history grade
It obtains；
It is analyzed according to measured value of the second predicted value of grade to grade in the metal balance data, rejects the metal
The measured value of grade in equilibrium data with appreciable error；Second predicted value is according to conservation of matter law and production work
What skill determined.
3. according to the method described in claim 2, it is characterized in that, using whole detection method and trial and error procedure to the metal balance
The measured value of weight in data is analyzed, and the measurement of the weight in the metal balance data with appreciable error is rejected
Value, comprising:
Whether the measured value for judging the weight in the metal balance data includes conspicuousness error；
If filtering out the first object measured value with doubtful appreciable error by whole detection algorithm comprising conspicuousness error；
The second target measurement value with appreciable error is filtered out from the target measurement value by trial and error procedure.
4. according to the method described in claim 3, it is characterized in that, described filtered out by whole detection algorithm with doubtful aobvious
Write the first object measured value of error, comprising:
Reject the measured value of any one weight one by one according to preset sequence；
After the measured value for weeding out a weight every time, the measured value according to remaining weight calculates the second target function value；
The measurement for meeting the corresponding weight of the second target function value of preset condition is filtered out from second target function value
Value, obtains the second target measurement value.
5. according to the method described in claim 3, it is characterized in that, described screened from the target measurement value by trial and error procedure
Provide the second target measurement value of appreciable error, comprising:
According to the measured value of other metal balance items at least one first object measured value and the metal balance data, calculate
Adjusted value；The others metal balance item is other projects in addition to weight；
According to third target function value described in the multiple adjustment calculation；
Filter out the corresponding first object measured value of at least one the smallest third target function value.
6. according to the method described in claim 2, it is characterized by further comprising:
It is directed to any one material type of grade, obtains the material class from the history metal balance data in a period of time
Multiple measured values of the grade of type；
Calculate the mean value and variance of multiple measured values of the grade of the material type；
The first predicted value is calculated according to the mean value and variance.
7. a kind of data error processing unit of metal balance characterized by comprising
Acquiring unit, for obtaining the metal balance data in metal balance table；
Appreciable error analytical unit, for carrying out appreciable error analysis to the metal balance data, rejecting has appreciable error
Metal balance data；
Coordination Treatment unit, for carrying out Coordination Treatment to the metal balance data.
8. device according to claim 7, which is characterized in that the appreciable error analytical unit, comprising:
Subelement is analyzed in first appreciable error, for using whole detection method and trial and error procedure to the weight in the metal balance data
The measured value of amount is analyzed, and the measured value of the weight in the metal balance data with appreciable error is rejected；
Subelement is analyzed in second appreciable error, for the first predicted value according to grade to grade in the metal balance data
Measured value is analyzed, and the measured value of the grade in the metal balance data with appreciable error is rejected；First prediction
Value is calculated by the measured value of history grade；
Subelement is analyzed in third appreciable error, for the second predicted value according to grade to grade in the metal balance data
Measured value is analyzed, and the measured value of the grade in the metal balance data with appreciable error is rejected；Second prediction
Value is determined according to conservation of matter law and production technology.
9. device according to claim 8, which is characterized in that subelement is analyzed in first appreciable error, comprising:
Judgment sub-unit, for judging whether the measured value of the weight in the metal balance data includes conspicuousness error；
Subelement is screened in doubtful appreciable error, if filtering out to have by whole detection algorithm and doubt for comprising conspicuousness error
Like the first object measured value of appreciable error；
Subelement is analyzed in 4th appreciable error, is filtered out from the target measurement value for significantly passing through trial and error procedure with significant
Second target measurement value of error.
10. device according to claim 9, which is characterized in that subelement is screened in doubtful appreciable error, comprising:
Sequence rejects subelement, for rejecting the measured value of any one weight one by one according to preset sequence；
Second target function value computation subunit, after the measured value for weeding out a weight every time, according to remaining heavy
The measured value of amount calculates the second target function value；
Second target measurement value screens subelement, meets the of preset condition for filtering out from second target function value
The measured value of the corresponding weight of two target function values obtains the second target measurement value.
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