CN104951643A - Energy spectrum processing method applicable to neutron activation element analysis - Google Patents
Energy spectrum processing method applicable to neutron activation element analysis Download PDFInfo
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Abstract
The invention discloses an energy spectrum processing method applicable to neutron activation element analysis. Information including ingredients, contents and the like of elements in a tested material corresponding to new measurement spectral shapes is acquired by means of direct and effective comparison with various spectral shapes in a spectral shape knowledge base. The method includes: subjecting the spectral shapes to normalization, peak searching, treatment of peak position uniformity or similarity to find out reference spectral shapes of known element types and contents, ordering according to similarity, and selecting three spectral shapes highest in reference effect to carry out comparative analysis so as to acquire the information including ingredients, contents and the like of the elements in the tested material corresponding to the new measurement spectral shapes. The method has the advantages that the defect that an original calibration method requires linear regression or nonlinear regression of all known spectral shape data and corresponding element contents for each time is effectively avoided, the spectral shapes can be supplemented to the spectral shape knowledge base directly for each time, supplementation for the knowledge base during test is realized, and simplicity in operation is achieved.
Description
Technical field
The present invention relates to a kind of data processing technique method of ultimate analysis, be specifically related to a kind of data processing technique method of neutron activation ultimate analysis.
Background technology
The industry such as building materials, coal, thermoelectricity, metallurgy, mine needs to analyze the elemental composition of loose unpacked material on belt conveyor and content, with Instructing manufacture.Utilize the multi-element analyser of neutron activation Prompt gamma rays analytical technology as a kind of main on-line element analysis instrument, well can realize the continuous analysis to loose unpacked material on belt conveyor.
The analysis principle of such instrument at present, all that neutron irradiation is on material, react with pantogen daughter nucleus each in material, different elements radiate the Characteristic γ ray of different-energy and intensity, by detecting the energy identification element kind of Characteristic γ ray, draw constituent content by the intensity detecting Characteristic γ ray.
And concrete analytical approach, be then adopt to build should the mathematical model of constituent content for the peak area of the Characteristic γ ray of certain element, the mode of then being demarcated by actual measurement sample determines the parameter in mathematical model.Namely according to measuring the material of some groups of known elements content, known constituent content and this elemental characteristic peak area are substituted into mathematical model, by the process of linear regression or non-linear regression, obtain the parameters in mathematical model.
But the drawback of the method is: to unknown element analysis, and also cannot be able to not analyze for the element not building mathematical model; Simultaneously also cannot analytical element content demarcate sample coverage outside material; And after increasing calibration sample, all need to re-start recurrence process at every turn.
Summary of the invention
For the defect of above-mentioned existence, the present invention proposes a kind of data processing technique method of neutron activation ultimate analysis of novelty.The method has abandoned original scaling method, adopts and directly with spectrum shape knowledge base numerously compose shape and carry out the right mode of effective ratio, obtain new measure each component in the tested material composed corresponding to shape composition and the information such as content.
The execution basis of the method is the spectrum shape knowledge base that will build a standard and specification, namely requires the spectrum shape in spectrum shape knowledge base, has identical " energy-Dao location " corresponding relation, and the Measuring Time of each spectrum shape is identical.If unconventional spectrum shape, then needing by spectrum fractal transform, as disposal routes such as " the peak drift corrections " and " live time correction " by routine, namely can be converted into as restoring in spectrum shape knowledge base after specification spectrum shape.
Data processing technique method concrete scheme of the present invention is as follows:
the first step: when surveying spectrum shape Water demand, first actual measurement spectrum shape being standardized, being about to actual measurement spectrum fractal transform and being modified to and composing in shape knowledge base respectively that composing shape has consistent " energy-Dao location " corresponding relation and Measuring Time;
Namely require the spectrum shape in spectrum shape knowledge base, there is identical Zong Dao location number and " energy-Dao location " corresponding relation, and the Measuring Time of each spectrum shape is identical.If unconventional spectrum shape, then need by spectrum fractal transform, as " peak drift correction " and " live time correction ", convert after becoming specification spectrum shape and restore in spectrum shape knowledge base.
Wherein, " peak drift correction " and " live time correction " etc. are multiple to be had a variety of to realize composing the technical method of fractal transform, and the professional person for having certain experiences is known and grasp; Same, determine peak-seeking algorithm and the disposal skill of location, road, place, peak position, the professional person also for having certain experiences is known and grasp.
The feature of spectrum shape knowledge base is:
Include two class files in spectrum shape knowledge base, wherein a kind of is the spectrum shape file including corresponding element content information, and another is the index file for all composing shape file.
In each spectrum shape file in spectrum shape knowledge base, include the concrete content of complete spectrum shape information and corresponding contained various element, whole spectrum shape files including complete spectrum shape information and corresponding element content information in spectrum shape knowledge base, there is identical Zong Dao location number and " energy-Dao location " corresponding relation, and the Measuring Time of each spectrum shape is identical, concrete file layout can be: if the Zong Dao location number of this spectrum shape file is N, then file has N+103 group numerical value, front N group numerical value be spectrum shape location, each road from corresponding energy from low to high successively order counting, namely the count value from the 1st road to N road of shape is composed, latter 103 groups are followed successively by according to the content corresponding to each element of atomic number arrangement, if not containing this element, insert " 0 " at correspondence position, if clearly contain this element but this constituent content the unknown, insert "-1 " at correspondence position,
For the index file all composing shape file, then generated by the peak position information in the whole spectrum shape files in spectrum shape knowledge base, concrete scheme is as follows:
1) be numbered composing shape in knowledge base; If there be n to compose shape, then, from 1, to the last one is n;
2) location, each Pu Xingzong road number is N, then index file includes N number of index data; The binary number of each index data to be digits long be n;
3) producing method of i-th index data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 "; Wherein, 1≤m≤n, 1≤i≤N.
second step: peak-seeking process is carried out to the actual measurement spectrum shape after conversion, namely by peak-seeking algorithm, confirms position, location, road corresponding to the quantity at peak in the actual measurement spectrum shape after conversion and each peak;
3rd step: similarity searching is carried out to each spectrum shape in spectrum shape knowledge base, first carry out " peak position is consistent " to find, namely from spectrum shape knowledge base, find the whole spectrum shape files providing following feature: the quantity at the peak in this spectrum shape file and the position, location, road corresponding to each peak, to compose position, location, road corresponding to the quantity at peak in shape and each peak completely the same with the actual measurement after conversion;
The particular content carrying out the method that " peak position is consistent " is found is as follows:
1) the spectrum shape in spectrum shape knowledge base is numbered; If there be n to compose shape, then, from 1, to the last one is n;
2) if location, Pu Xingzong road number is N road, then set up N number of " data "; The binary number of each data to be digits long be n;
3) producing method of i-th data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 ";
4) to for analyze actual measurement spectrum shape carry out peak-seeking process, determine concrete road location a1, the a2 at place, peak position, a3 ... ak, wherein k is total number at peak in actual measurement spectrum shape;
5) by N number of data, in corresponding actual measurement spectrum shape, the data of location, road, peak position are constant, namely " data a1 ", " data a2 ", " data a3 " ... " data ak " etc. retain constant; Remaining data is each all negate then;
6) value in the same position of newly-generated N group data is carried out boolean " and " computing, obtain a new binary number; And the value on which position of this binary number is " 1 ", then the spectrum shape of the corresponding numbering in corresponding knowledge base is exactly the result that will find.
Wherein, determine peak-seeking algorithm and the disposal skill of location, road, place, peak position, the professional person for having certain experiences is known and grasp.
Meet " peak position is consistent " if can search out in spectrum shape knowledge base and find the quantity of the spectrum shape of condition more than three, then directly carry out the 4th step; Otherwise system prompt " advises this spectrum shape to augment into knowledge base ", and continue not meet in the spectrum shape of " peak position is consistent " searching condition in spectrum shape knowledge base to carry out " peak position containing " searching, namely from spectrum shape knowledge base, whole spectrum shape files of following feature are provided in searching: in the actual measurement spectrum shape after the number ratio conversion at the peak in this spectrum shape file, the quantity at peak wants many, and all there is corresponding embodiment the position, location, road that peak in shape is composed in the actual measurement after conversion in this spectrum shape file;
The particular content carrying out the method that " peak position containing " is found is as follows:
1) the spectrum shape in spectrum shape knowledge base is numbered; If there be n to compose shape, then, from 1, to the last one is n;
2) if location, Pu Xingzong road number is N road, then set up N number of " data "; The binary number of each data to be digits long be n;
3) producing method of i-th data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 ";
4) to for analyze actual measurement spectrum shape carry out peak-seeking process, determine concrete road location a1, the a2 at place, peak position, a3 ... ak, wherein k is total number at peak in actual measurement spectrum shape;
5) by N number of data, in corresponding actual measurement spectrum shape, the k of location, road, peak position is according to carrying out boolean " and " computing, be about to " data a1 ", " data a2 ", " data a3 " ... value in the same position of " data ak " carries out boolean " and " computing, obtains a new binary number;
6) value on which position of this binary number obtained is " 1 ", then the spectrum shape of the corresponding numbering in corresponding knowledge base is exactly the result that will find.
If can search out to meet " peak position is consistent " searching condition and meet " peak position containing " in spectrum shape knowledge base and find the total quantity of the spectrum shape of condition more than three, then directly carry out the 4th step; Otherwise continue not meet in the spectrum shape of " peak position is consistent " searching condition in spectrum shape knowledge base to carry out " peak position disappearance " searching, namely from spectrum shape knowledge base, find the whole spectrum shape files providing following feature: in the actual measurement spectrum shape after the number ratio conversion at the peak in this spectrum shape file, the quantity at peak will be lacked, and all have corresponding embodiment in the actual measurement spectrum shape after the conversion of the position, location, road at peak in this spectrum shape file;
The particular content carrying out the method that " peak position disappearance " is found is as follows:
1) the spectrum shape in spectrum shape knowledge base is numbered; If there be n to compose shape, then, from 1, to the last one is n;
2) if location, Pu Xingzong road number is N road, then set up N number of " data "; The binary number of each data to be digits long be n;
3) producing method of i-th data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 ";
4) to for analyze actual measurement spectrum shape carry out peak-seeking process, determine concrete road location a1, the a2 at place, peak position, a3 ... ak, wherein k is total number at peak in actual measurement spectrum shape;
5) by N number of data, the value of same position of the data of location, road, peak position in correspondence actual measurement spectrum shape is carried out boolean " or " computing and obtains binary number A, namely " data a1 ", " data a2 ", " data a3 " ... the value of the same position of " data ak " is carried out boolean " or " computing and is obtained binary number A; By remaining N-k data, then each is all after negate, and the value of same position is carried out boolean " and " computing and obtained binary number B;
6) value in the same position of newly-generated binary number A and binary number B is carried out boolean " and " computing, obtain a new binary number; And the value on which position of this binary number is " 1 ", then the spectrum shape of the corresponding numbering in corresponding knowledge base is exactly the result that will find.
Meet if can search out in spectrum shape knowledge base " peak position is consistent ", " peak position containings ", " peak position disappearance " searching condition the total quantity of spectrum shape more than three, then proceed the 4th step; Otherwise termination analysis;
4th step: the similar spectrum shape found is carried out similarity comparison and is sorted, by the spectrum shape file finally searched out in the 3rd step respectively with conversion after actual measurement compose shape and carry out similarity comparison, and to arrange according to similarity order from big to small;
The particular content of this comparison sort method is as follows:
Compose shape one by one with actual measurement and carry out degree of approximation comparison operation by needing compose with actual measurement spectrum shape that shape compares and obtain and be similar to angle value P, then sort according to the size of approximate angle value P, approximate angle value P is larger then illustrates that the degree of approximation of two spectrum shapes is higher, when two spectrum shapes are identical, approximate angle value P result is maximal value 1; The formula that concrete calculating is similar to angle value is as follows:
Wherein P is spectrum shape A and the Similarity value composing shape B, and n is the Zong Dao location number of spectrum shape A and spectrum shape B, a
ifor the numerical value of corresponding road location i in spectrum shape A, b
ifor the numerical value of corresponding road location i in spectrum shape B.
5th step: choose with convert after actual measurement compose shape and there are the highest three of similarity compose shape, by with conversion after actual measurement compose shape and once each peak is carried out " peak net area-constituent content linear regression ", analyze the content of each component in the material that actual measurement composes corresponding to shape; Namely net area calculating is carried out to each peak that the actual measurement spectrum shape after selected three spectrum shapes and conversion amounts in four spectrum shapes, then carry out peak in three spectrum shapes to the element corresponding to the peak of phase people having a common goal location and this peak successively to wash one's face the linear regression of product and constituent content corresponding separately, establish the content of this element and peak to wash one's face the relation function of product, again by the actual measurement spectrum shape after conversion to should the product of washing one's face at peak of location, road substitute into relation function, calculate the content of this element of the spectrum of the actual measurement after conversion corresponding to shape; By carrying out such calculation process to the peak one by one in the actual measurement spectrum shape after conversion, obtain the content of the various elements of actual measurement spectrum corresponding to shape after converting;
If the spectrum shape having " peak position disappearance " to find in selected three spectrum shapes, deposit some peak position in actual measurement spectrum shape after the conversion and cannot all have corresponding existence in selected three spectrum shapes, namely cannot analyze, then the content of the element corresponding to this peak will not be analyzed.
beneficial effect:
The method has abandoned original scaling method, adopts and directly with spectrum shape knowledge base numerously compose shape and carry out the right mode of effective ratio, obtain new measure each component in the tested material composed corresponding to shape composition and the information such as content.
The method effectively prevent in original scaling method all to be needed again to all existing spectrum graphic data and corresponding element content carry out the drawback of linear regression or non-linear regression at every turn, the spectrum shape of each directly supplement spectrum shape knowledge base, knowledge base is with surveying with benefit, simple to operate.
And the method for original demarcation only can draw the content of the element through demarcating process, and cannot computing for the content without the element demarcated at every turn.Method of the present invention can be compared the kind and content that obtain contained element by compose shape with close in spectrum shape knowledge base, and composes shape knowledge base and can augment at any time, and the spectrum shape after supplement can participate in analytic operation, without the need to all again demarcating at every turn.
Accompanying drawing explanation
Fig. 1 is a kind of process flow diagram being applicable to the power spectrum knowledge base comparison method of neutron activation ultimate analysis of the present invention
embody rule mode
Be described with reference to the accompanying drawings particular content of the present invention.
the first step:when the spectrum shape Water demand measured in real time, first actual measurement spectrum shape is standardized, be about to actual measurement spectrum fractal transform and be modified to and compose in shape knowledge base that respectively composing shape has consistent " energy-Dao location " corresponding relation and Measuring Time;
Include two class files in spectrum shape knowledge base, wherein a kind of is the spectrum shape file including corresponding element content information, and another is the index file for all composing shape file.
In each spectrum shape file in spectrum shape knowledge base, include the concrete content of complete spectrum shape information and corresponding contained various element, whole spectrum shape files including complete spectrum shape information and corresponding element content information in spectrum shape knowledge base, there is identical Zong Dao location number and " energy-Dao location " corresponding relation, and the Measuring Time of each spectrum shape is identical, concrete file layout can be: if the Zong Dao location number of this spectrum shape file is N, then file has N+103 group numerical value, front N group numerical value be spectrum shape location, each road from corresponding energy from low to high successively order counting, namely the count value from the 1st road to N road of shape is composed, latter 103 groups are followed successively by according to the content corresponding to each element of atomic number arrangement, if not containing this element, insert " 0 " at correspondence position, if clearly contain this element but this constituent content the unknown, insert "-1 " at correspondence position.
For the index file all composing shape file, then generated by the peak position information in the whole spectrum shape files in spectrum shape knowledge base, concrete scheme is as follows:
1) be numbered composing shape in knowledge base; If there be n to compose shape, then, from 1, to the last one is n;
2) location, each Pu Xingzong road number is N, then index file includes N number of index data; The binary number of each index data to be digits long be n;
3) producing method of i-th index data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 "; Wherein, 1≤m≤n, 1≤i≤N.
Wherein, " peak drift correction " and " live time correction " etc. are multiple to be had a variety of to realize composing the technical method of fractal transform, and the professional person for having certain experiences is known and grasp; Same, determine peak-seeking algorithm and the disposal skill of location, road, place, peak position, the professional person also for having certain experiences is known and grasp.
second step:peak-seeking process is carried out to the actual measurement spectrum shape after conversion, namely by peak-seeking algorithm, confirms position, location, road corresponding to the quantity at peak in the actual measurement spectrum shape after conversion and each peak; And be that the peak-seeking algorithm of public domain has a variety of, be the technology having experience personage known in industry field;
3rd step:similarity searching is carried out to each spectrum shape in spectrum shape knowledge base, first carry out " peak position is consistent " to find, namely from spectrum shape knowledge base, find the whole spectrum shape files providing following feature: the quantity at the peak in this spectrum shape file and the position, location, road corresponding to each peak, to compose position, location, road corresponding to the quantity at peak in shape and each peak completely the same with the actual measurement after conversion;
This particular content carrying out the method that " peak position is consistent " is found is as follows:
1) be numbered composing shape in spectrum shape knowledge base; If there be n to compose shape, then, from 1, to the last one is n;
2) if location, Pu Xingzong road number is N road, then set up N number of " data "; The binary number of each data to be digits long be n;
3) producing method of i-th data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 ";
4) to for analyze actual measurement spectrum shape carry out peak-seeking process, determine concrete road location a1, the a2 at place, peak position, a3 ... ak, wherein k is total number at peak in actual measurement spectrum shape;
5) by N number of data, in corresponding actual measurement spectrum shape, the data of location, road, peak position are constant, namely " data a1 ", " data a2 ", " data a3 " ... " data ak " etc. retain constant; Remaining data is each all negate then;
6) value in the same position of newly-generated N group data is carried out boolean " and " computing, obtain a new binary number; And the value on which position of this binary number is " 1 ", then the spectrum shape of the corresponding numbering in corresponding knowledge base is exactly the result that will find.
If the quantity that can search out the spectrum shape meeting " peak position is consistent " searching condition in spectrum shape knowledge base is n1, then should have 0≤n1≤N, wherein N is the total number of spectrum shape in spectrum shape knowledge base; Meet " peak position is consistent " if can search out in spectrum shape knowledge base and find the quantity of the spectrum shape of condition more than three, i.e. n1 > 3, then directly carry out the 4th step; Otherwise system prompt " advises this spectrum shape to augment into knowledge base ", and continue not meet in the spectrum shape of " peak position is consistent " searching condition in spectrum shape knowledge base to carry out " peak position containing " searching, namely from spectrum shape knowledge base, whole spectrum shape files of following feature are provided in searching: in the actual measurement spectrum shape after the number ratio conversion at the peak in this spectrum shape file, the quantity at peak wants many, and all there is corresponding embodiment the position, location, road that peak in shape is composed in the actual measurement after conversion in this spectrum shape file;
The particular content of the method that this carries out " peak position containing " finds is as follows:
1) the spectrum shape in spectrum shape knowledge base is numbered; If there be n to compose shape, then, from 1, to the last one is n;
2) if location, Pu Xingzong road number is N road, then set up N number of " data "; The binary number of each data to be digits long be n;
3) producing method of i-th data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 ";
4) to for analyze actual measurement spectrum shape carry out peak-seeking process, determine concrete road location a1, the a2 at place, peak position, a3 ... ak, wherein k is total number at peak in actual measurement spectrum shape;
5) by N number of data, in corresponding actual measurement spectrum shape, the k of location, road, peak position is according to carrying out boolean " and " computing, be about to " data a1 ", " data a2 ", " data a3 " ... value in the same position of " data ak " carries out boolean " and " computing, obtains a new binary number;
6) value on which position of this binary number obtained is " 1 ", then the spectrum shape of the corresponding numbering in corresponding knowledge base is exactly the result that will find.
If the quantity that can search out the spectrum shape meeting " peak position containing " searching condition in spectrum shape knowledge base is n2, then should there is 0≤n2≤N-n1; If can search out to meet " peak position is consistent " searching condition and meet " peak position containing " in spectrum shape knowledge base and find the total quantity of the spectrum shape of condition more than three, i.e. n1+n2 > 3, then directly carry out the 4th step; Otherwise continue not meet in the spectrum shape of " peak position is consistent " searching condition in spectrum shape knowledge base to carry out " peak position disappearance " searching, namely from spectrum shape knowledge base, find the whole spectrum shape files providing following feature: in the actual measurement spectrum shape after the number ratio conversion at the peak in this spectrum shape file, the quantity at peak will be lacked, and all have corresponding embodiment in the actual measurement spectrum shape after the conversion of the position, location, road at peak in this spectrum shape file;
The particular content of the method that this carries out " peak position disappearance " finds is as follows:
1) the spectrum shape in spectrum shape knowledge base is numbered; If there be n to compose shape, then, from 1, to the last one is n;
2) if location, Pu Xingzong road number is N road, then set up N number of " data "; The binary number of each data to be digits long be n;
3) producing method of i-th data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 ";
4) to for analyze actual measurement spectrum shape carry out peak-seeking process, determine concrete road location a1, the a2 at place, peak position, a3 ... ak, wherein k is total number at peak in actual measurement spectrum shape;
5) by N number of data, the value of same position of the data of location, road, peak position in correspondence actual measurement spectrum shape is carried out boolean " or " computing and obtains binary number A, namely " data a1 ", " data a2 ", " data a3 " ... the value of the same position of " data ak " is carried out boolean " or " computing and is obtained binary number A; By remaining N-k data, then each is all after negate, and the value of same position is carried out boolean " and " computing and obtained binary number B;
6) value in the same position of newly-generated binary number A and binary number B is carried out boolean " and " computing, obtain a new binary number; And the value on which position of this binary number is " 1 ", then the spectrum shape of the corresponding numbering in corresponding knowledge base is exactly the result that will find.
If the quantity that can search out the spectrum shape meeting " peak position disappearance " searching condition in spectrum shape knowledge base is n3, then should there is 0≤n3≤N-n1-n2; Meet if can search out in spectrum shape knowledge base " peak position is consistent ", " peak position containings ", " peak position disappearance " searching condition the total quantity of spectrum shape more than three, i.e. n1+n2+n3 > 3, then proceed the 4th step; Otherwise termination analysis;
4th step:the similar spectrum shape found is carried out similarity comparison and is sorted, by the spectrum shape file finally searched out in the 3rd step respectively with conversion after actual measurement compose shape and carry out similarity comparison, and to arrange according to similarity order from big to small;
The particular content of this comparison sort method is as follows:
Compose shape one by one with actual measurement and carry out degree of approximation comparison operation by needing compose with actual measurement spectrum shape that shape compares and obtain and be similar to angle value P, then sort according to the size of approximate angle value P, approximate angle value P is larger then illustrates that the degree of approximation of two spectrum shapes is higher, when two spectrum shapes are identical, approximate angle value P result is maximal value 1; The formula that concrete calculating is similar to angle value is as follows:
Wherein P is spectrum shape A and the Similarity value composing shape B, and n is the Zong Dao location number of spectrum shape A and spectrum shape B, a
ifor the numerical value of corresponding road location i in spectrum shape A, b
ifor the numerical value of corresponding road location i in spectrum shape B.
And location, spectrum shape general Dou Shi road conventional at present adds up to 1024 roads, then specifically the computing formula of the approximate angle value in corresponding 1024 roads is:
Similar, the degree of approximation between the spectrum shape that the method can also be used for 512 roads, 2048 roads, 4096 roads etc. Zong Dao location number compares, but the degree of approximation between the spectrum shape being not merely only limited to above-described Zong Dao location number compares.
5th step:choose with convert after actual measurement compose shape and there are the highest three of similarity compose shape, by with conversion after actual measurement compose shape and once each peak is carried out " peak net area-constituent content linear regression ", analyze the content of each component in the material that actual measurement composes corresponding to shape; Namely net area calculating is carried out to each peak that the actual measurement spectrum shape after selected three spectrum shapes and conversion amounts in four spectrum shapes, then carry out peak in three spectrum shapes to the element corresponding to the peak of phase people having a common goal location and this peak successively to wash one's face the linear regression of product and constituent content corresponding separately, establish the content of this element and peak to wash one's face the relation function of product, again by the actual measurement spectrum shape after conversion to should the product of washing one's face at peak of location, road substitute into relation function, calculate the content of this element of the spectrum of the actual measurement after conversion corresponding to shape; By carrying out such calculation process to the peak one by one in the actual measurement spectrum shape after conversion, obtain the content of the various elements of actual measurement spectrum corresponding to shape after converting;
If the spectrum shape having " peak position disappearance " to find in selected three spectrum shapes, deposit some peak position in actual measurement spectrum shape after the conversion and cannot all have corresponding existence in selected three spectrum shapes, namely cannot analyze, then the content of the element corresponding to this peak will not be analyzed.
Embody rule example:
Because in actual application, the spectrum figurate number amount that spectrum shape knowledge base comprises is very huge, and location, the road number of each spectrum shape is generally 1024,2048 even 4096 roads, for sake of convenience, therefore the several keyword processing method in this patent are illustrated, all carry out assumed conditions, but experienced personnel can't to be affected in industry to the complete understanding of this method.
one, about building illustrating of spectrum shape knowledge base:
Due in actual application, location, the actual measurement Pu Xingzong road number of usual neutron activation multielement analysis is 1024 roads or 2048 roads, the road of Ye You 512 road, 4096 roads or other quantity, for simplifying describing application example, supposes as follows to spectrum shape file and corresponding element:
Suppose location Shuo Wei 10 road, Pu Xingzong road, and there are not 103 kinds of elements, only there is the element kind that atomic number is respectively 1,2,3, and there is atomic number to be the corresponding location, road 2, position of the characteristic peak of the element of 1, atomic number is the corresponding location, road 5, position of the characteristic peak of the element of 2, and atomic number is the corresponding location, road 8, position of the characteristic peak of the element of 3;
Suppose existing spectrum shape five, the data on its location, each road and the content of corresponding each element see the following form:
Mark "? " in table represent that the content of this element is unknown.
Accordingly, see the following form in the peak position in five spectrum shapes:
Then each spectrum shape file composed in shape knowledge base should have 13 groups of numerical value, specifically sees the following form:
Then the index file composed in shape knowledge base has 10 index datas, each index data to be figure place be 5 binary number, specifically see the following form:
that two, carries out that " peak position is consistent " find illustrates:
Because location, the Pu Xingzong road number in practical application is generally 1024 roads or 2048 roads, also have 4096 roads, convenient in order to describe, setting location, Pu Xingzong road number is 7 roads, and the spectrum shape number of composing in shape knowledge base is 5, is specifically set as follows:
Spectrum shape 1 location, road, place, peak position number be: 1,3,5,7, namely peak position element is: 1,3,5,7};
Spectrum shape 2 location, road, place, peak position number be: 2,4,6, namely peak position element is: 2,4,6};
Spectrum shape 3 location, road, place, peak position number be: 3,5, namely peak position element is: 3,5};
Spectrum shape 4 location, road, place, peak position number be: 2,5, namely peak position element is: 2,5};
Spectrum shape 5 location, road, place, peak position number be: 1,3,5, namely peak position element is: 1,3,5};
Can see the following form in detail:
The data of corresponding formation 7 groups of binary numbers, specifically see the following form:
As can be seen from the above table: the content of data 1 is " 10001 ", then embody spectrum shape 1 and composed shape 5 and have peak position in location, road 1; Similar, the content of data 6 is " 01000 ", then having embodied spectrum shape 2 has peak position in location, road 6.
Then start and newly compose shape and carry out " peak position comparison process ":
If the location, road, place, peak position having new spectrum shape 8 is 1,3,5, then can be constant by " data 1 ", " data 3 ", " data 5 ", " data 2 ", " data 4 ", " data 6 ", " data 7 " carry out every negate;
Then boolean " and " computing is carried out to the same position of all data, obtain a new binary number, and which position of this binary number is " 1 ", then to have in spectrum shape knowledge base which spectrum shape and new to compose shape consistent.
Concrete operation sees the following form:
It can be seen from the table, what meet with the peak position of newly composing shape 8 that " peak position is consistent " find condition is " the composing shape 5 " of composing in shape knowledge base.
that three, carries out that " peak position containing " find illustrates:
Because location, the Pu Xingzong road number in practical application is generally 1024 roads or 2048 roads, also have 4096 roads, convenient in order to describe, setting location, Pu Xingzong road number is 7 roads, and the spectrum shape number of composing in shape knowledge base is 5, is specifically set as follows:
Spectrum shape 1 location, road, place, peak position number be: 1,3,5,7, namely peak position element is: 1,3,5,7};
Spectrum shape 2 location, road, place, peak position number be: 2,4,6, namely peak position element is: 2,4,6};
Spectrum shape 3 location, road, place, peak position number be: 3,5, namely peak position element is: 3,5};
Spectrum shape 4 location, road, place, peak position number be: 2,5, namely peak position element is: 2,5};
Spectrum shape 5 location, road, place, peak position number be: 1,3,5, namely peak position element is: 1,3,5};
Can see the following form in detail:
The data of corresponding formation 7 groups of binary numbers, specifically see the following form:
As can be seen from the above table: the content of data 1 is " 10001 ", then embody spectrum shape 1 and composed shape 5 and have peak position in location, road 1; Similar, the content of data 6 is " 01000 ", then having embodied spectrum shape 2 has peak position in location, road 6.
Then start and newly compose shape and carry out " peak position comparison process ":
If the location, road, place, peak position having new spectrum shape 8 is 1,3,5, then the same position of " data 1 ", " data 3 ", " data 5 " can be carried out boolean " and " computing, obtain a new binary number, and which position of this binary number is " 1 ", then there is in spectrum shape knowledge base which spectrum shape and new to compose shape consistent.
Concrete operation sees the following form:
It can be seen from the table, what meet with the peak position of newly composing shape 8 that " peak position is contained " find condition is compose in shape knowledge base " to compose shape 1 " and " composing shape 5 ".
Special needs
emphasize, in the method, the spectrum shape meeting " peak position is consistent " searching condition can be found out, therefore the method needs not meet in the spectrum shape of " peak position is consistent " searching condition in spectrum shape knowledge base to carry out.
that four, carries out that " peak position disappearance " find illustrates:
Because location, the Pu Xingzong road number in practical application is generally 1024 roads or 2048 roads, also have 4096 roads, convenient in order to describe, setting location, Pu Xingzong road number is 7 roads, and the spectrum shape number of composing in shape knowledge base is 5, is specifically set as follows:
Spectrum shape 1 location, road, place, peak position number be: 1,3,5,7, namely peak position element is: 1,3,5,7};
Spectrum shape 2 location, road, place, peak position number be: 2,4,6, namely peak position element is: 2,4,6};
Spectrum shape 3 location, road, place, peak position number be: 3,5, namely peak position element is: 3,5};
Spectrum shape 4 location, road, place, peak position number be: 2,5, namely peak position element is: 2,5};
Spectrum shape 5 location, road, place, peak position number be: 1,3,5, namely peak position element is: 1,3,5};
Can see the following form in detail:
The data of corresponding formation 7 groups of binary numbers, specifically see the following form:
As can be seen from the above table: the content of data 1 is " 10001 ", then embody spectrum shape 1 and composed shape 5 and have peak position in location, road 1; Similar, the content of data 6 is " 01000 ", then having embodied spectrum shape 2 has peak position in location, road 6.
Then start and newly compose shape and carry out " peak position comparison process ":
If the location, road, place, peak position having new spectrum shape 8 is 1,3,5, then the value in the same position of " data 1 ", " data 3 ", " data 5 " can be carried out boolean " or " computing, obtain new data A for " 10111 "; Concrete operation sees the following form:
After again " data 2 ", " data 4 ", " data 6 ", " data 7 " being carried out every negate, then boolean " and " computing is carried out to the value in same position, obtain new data B for " 00101 "; Concrete operation sees the following form:
And then boolean " and " computing is carried out to the value in the same position of new data A and new data B, obtain a new binary number, and which position of this binary number is " 1 ", then has in spectrum shape knowledge base which spectrum shape and new to compose shape consistent.
Concrete operation sees the following form:
It can be seen from the table, what meet with the peak position of newly composing shape 8 that " peak position lacks " find condition is compose in shape knowledge base " to compose shape 3 " and " composing shape 5 ".
Special needs
emphasize, in the method, the spectrum shape meeting " peak position is consistent " searching condition can be found out, therefore the method needs not meet in the spectrum shape of " peak position is consistent " searching condition in spectrum shape knowledge base to carry out.
five, about spectrum shape carry out similarity comparison and sequence illustrate:
Because location, the Pu Xingzong road number in practical application is generally 1024 roads or 2048 roads, also 4096 roads are had, convenient in order to describe, this embody rule example setting location, Pu Xingzong road number is 9 roads, has spectrum shape A, spectrum shape B, spectrum shape C, spectrum shape D to carry out the degree of approximation with spectrum shape O respectively and compares.Namely compose shape O for actual measurement spectrum shape, and compose shape A, spectrum shape B, spectrum shape C, spectrum shape D are four the spectrum shapes chosen from spectrum shape knowledge base, need to sort relative to the degree of approximation of spectrum shape O to spectrum shape A, spectrum shape B, spectrum shape C, spectrum shape D these four spectrum shapes.
Setting spectrum shape O, spectrum shape A, spectrum shape B, spectrum shape C, the numerical value that the location, each road of spectrum shape D is corresponding see the following form:
Then have:
Spectrum shape A and the approximate angle value P composing shape O
oAfor:
；
Spectrum shape B and the approximate angle value P composing shape O
oBfor:
；
Spectrum shape C and the approximate angle value P composing shape O
oCfor:
；
Spectrum shape D and the approximate angle value P composing shape O
oDfor:
；
Namely have:
P
OA=0.9927；
P
OB=0.9869；
P
OC=0.8744；
P
OD=1.0000；
Visible: P
oD> P
oA> P
oB> P
oC.
According to the approximate descending sequence of angle value be then: four spectrum shapes are spectrum shape D, spectrum shape A, spectrum shape B, spectrum shape C relative to descending the putting in order of degree of approximation of spectrum shape O.Wherein compose shape D identical with spectrum shape O.
Claims (6)
1. be applicable to an energy spectrum processing method for neutron activation ultimate analysis, it is characterized by:
The first step: when surveying spectrum shape Water demand, first standardizes to actual measurement spectrum shape, is about to actual measurement spectrum fractal transform and is modified to and composes in shape knowledge base respectively that composing shape has consistent Zong Dao location number, " energy-Dao location " corresponding relation and Measuring Time;
Second step: carry out peak-seeking process to the actual measurement spectrum shape after conversion, namely by peak-seeking algorithm, confirms position, location, road corresponding to the quantity at peak in the actual measurement spectrum shape after conversion and each peak;
3rd step: similarity searching is carried out to each spectrum shape in spectrum shape knowledge base, first carry out " peak position is consistent " to find, namely from spectrum shape knowledge base, find the whole spectrum shape files providing following feature: the quantity at the peak in this spectrum shape file and the position, location, road corresponding to each peak, to compose position, location, road corresponding to the quantity at peak in shape and each peak completely the same with the actual measurement after conversion;
Meet " peak position is consistent " if can search out in spectrum shape knowledge base and find the quantity of the spectrum shape of condition more than three, then directly carry out the 4th step; Otherwise system prompt " advises this spectrum shape to augment into knowledge base ", and continue not meet in the spectrum shape of " peak position is consistent " searching condition in spectrum shape knowledge base to carry out " peak position containing " searching, namely from spectrum shape knowledge base, whole spectrum shape files of following feature are provided in searching: in the actual measurement spectrum shape after the number ratio conversion at the peak in this spectrum shape file, the quantity at peak wants many, and all there is corresponding embodiment the position, location, road that peak in shape is composed in the actual measurement after conversion in this spectrum shape file;
If can search out to meet " peak position is consistent " searching condition and meet " peak position containing " in spectrum shape knowledge base and find the total quantity of the spectrum shape of condition more than three, then directly carry out the 4th step; Otherwise continue not meet in the spectrum shape of " peak position is consistent " searching condition in spectrum shape knowledge base to carry out " peak position disappearance " searching, namely from spectrum shape knowledge base, find the whole spectrum shape files providing following feature: in the actual measurement spectrum shape after the number ratio conversion at the peak in this spectrum shape file, the quantity at peak will be lacked, and all have corresponding embodiment in the actual measurement spectrum shape after the conversion of the position, location, road at peak in this spectrum shape file;
Meet if can search out in spectrum shape knowledge base " peak position is consistent ", " peak position containings ", " peak position disappearance " searching condition the total quantity of spectrum shape more than three, then proceed the 4th step; Otherwise termination analysis;
4th step: the similar spectrum shape found is carried out similarity comparison and sorted, by the spectrum shape file finally searched out in the 3rd step respectively with conversion after actual measurement compose shape and carry out similarity comparison, and to arrange according to similarity order from big to small;
5th step: choose with convert after actual measurement compose shape and there are the highest three of similarity compose shape, by with conversion after actual measurement compose shape and once each peak is carried out " peak net area-constituent content linear regression ", analyze the content of each component in the material that actual measurement composes corresponding to shape; Namely net area calculating is carried out to each peak that the actual measurement spectrum shape after selected three spectrum shapes and conversion amounts in four spectrum shapes, then carry out peak in three spectrum shapes to the element corresponding to the peak of phase people having a common goal location and this peak successively to wash one's face the linear regression of product and constituent content corresponding separately, establish the content of this element and peak to wash one's face the relation function of product, again by the actual measurement spectrum shape after conversion to should the product of washing one's face at peak of location, road substitute into relation function, calculate the content of this element of the spectrum of the actual measurement after conversion corresponding to shape; By carrying out such calculation process to the peak one by one in the actual measurement spectrum shape after conversion, obtain the content of the various elements of actual measurement spectrum corresponding to shape after converting;
If the spectrum shape having " peak position disappearance " to find in selected three spectrum shapes, deposit some peak position in actual measurement spectrum shape after the conversion and cannot all have corresponding existence in selected three spectrum shapes, namely cannot analyze, then the content of the element corresponding to this peak will not be analyzed.
2. spectrum shape knowledge base according to claim 1, is characterized in that:
Include two class files in spectrum shape knowledge base, wherein a kind of is the spectrum shape file including corresponding element content information, and another is the index file for all composing shape file;
Whole spectrum shape files including corresponding element content information in spectrum shape knowledge base, have identical Zong Dao location number and " energy-Dao location " corresponding relation, and the Measuring Time of each spectrum shape is identical;
And concrete file layout is: if this location, Pu Xingzong road number is N, then file has N+103 group numerical value, front N group numerical value be the location, each road of spectrum shape from the counting of corresponding energy order successively from low to high, namely compose the count value from the 1st road to N road of shape; Latter 103 groups are followed successively by according to the content corresponding to each element of atomic number arrangement, if not containing this element, insert " 0 " at correspondence position, if clearly contain this element but this constituent content the unknown, insert "-1 " at correspondence position;
For the index file all composing shape file, generated by the peak position information in the whole spectrum shape files in spectrum shape knowledge base, concrete scheme is as follows:
1) be numbered composing shape in knowledge base; If there be n to compose shape, then, from 1, to the last one is n;
2) location, each Pu Xingzong road number is N, then index file includes N number of index data; The binary number of each index data to be digits long be n;
3) producing method of i-th index data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 "; Wherein, 1≤m≤n, 1≤i≤N.
3. " peak position is consistent " according to claim 1 is found, and it is characterized in that:
The detailed process finding the method for spectrum shape is as follows:
1) be numbered the spectrum shape in spectrum shape knowledge base, if there be n to compose shape, then, from 1, to the last one is n;
2) if location, Pu Xingzong road number is N road, then set up N number of " data "; The binary number of each data to be digits long be n;
3) producing method of i-th data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 ";
4) to for analyze actual measurement spectrum shape carry out peak-seeking process, determine concrete road location a1, the a2 at place, peak position, a3 ... ak, wherein k is total number at peak in actual measurement spectrum shape;
5) by N number of data, in corresponding actual measurement spectrum shape, the data of location, road, peak position are constant, namely " data a1 ", " data a2 ", " data a3 " ... " data ak " etc. retain constant; Remaining data is each all negate then;
6) value in the same position of newly-generated N group data is carried out boolean " and " computing, obtain a new binary number; And the value on which position of this binary number is " 1 ", then the spectrum shape of the corresponding numbering in corresponding knowledge base is exactly the result that will find.
4. " peak position containing " searching according to claim 1, is characterized in that:
The detailed process finding the method for spectrum shape is as follows:
1) the spectrum shape in spectrum shape knowledge base is numbered; If there be n to compose shape, then, from 1, to the last one is n;
2) if location, Pu Xingzong road number is N road, then set up N number of " data "; The binary number of each data to be digits long be n;
3) producing method of i-th data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 ";
4) to for analyze actual measurement spectrum shape carry out peak-seeking process, determine concrete road location a1, the a2 at place, peak position, a3 ... ak, wherein k is total number at peak in actual measurement spectrum shape;
5) by N number of data, in corresponding actual measurement spectrum shape, the k of location, road, peak position is according to carrying out boolean " and " computing, be about to " data a1 ", " data a2 ", " data a3 " ... value in the same position of " data ak " carries out boolean " and " computing, obtains a new binary number;
6) value on which position of this binary number obtained is " 1 ", then the spectrum shape of the corresponding numbering in corresponding knowledge base is exactly the result that will find.
5. " peak position disappearance " according to claim 1 is found, and it is characterized in that:
The detailed process finding the method for spectrum shape is as follows:
1) the spectrum shape in spectrum shape knowledge base is numbered; If there be n to compose shape, then, from 1, to the last one is n;
2) if location, Pu Xingzong road number is N road, then set up N number of " data "; The binary number of each data to be digits long be n;
3) producing method of i-th data is: if m spectrum location, Xing i-th road is peak position, then the m position of the i-th data is " 1 ", otherwise is " 0 ";
4) to for analyze actual measurement spectrum shape carry out peak-seeking process, determine concrete road location a1, the a2 at place, peak position, a3 ... ak, wherein k is total number at peak in actual measurement spectrum shape;
5) by N number of data, the value of same position of the data of location, road, peak position in correspondence actual measurement spectrum shape is carried out boolean " or " computing and obtains binary number A, namely " data a1 ", " data a2 ", " data a3 " ... the value of the same position of " data ak " is carried out boolean " or " computing and is obtained binary number A; By remaining N-k data, then each is all after negate, and the value of same position is carried out boolean " and " computing and obtained binary number B;
6) value in the same position of newly-generated binary number A and binary number B is carried out boolean " and " computing, obtain a new binary number; And the value on which position of this binary number is " 1 ", then the spectrum shape of the corresponding numbering in corresponding knowledge base is exactly the result that will find.
6. the similar spectrum shape to finding according to claim 1 is carried out similarity comparison and sorts, and it is characterized in that:
Compose shape one by one with actual measurement and carry out degree of approximation comparison operation by needing compose with actual measurement spectrum shape that shape compares and obtain and be similar to angle value P, then sort according to the size of approximate angle value P, approximate angle value P is larger then illustrates that the degree of approximation of two spectrum shapes is higher, when two spectrum shapes are identical, approximate angle value P result is maximal value 1; The formula that concrete calculating is similar to angle value is as follows:
Wherein P is spectrum shape A and the Similarity value composing shape B, and n is the Zong Dao location number of spectrum shape A and spectrum shape B, a
ifor the numerical value of corresponding road location i in spectrum shape A, b
ifor the numerical value of corresponding road location i in spectrum shape B.
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