CN109214455A - Oil colours modal data and the correlation of account data determine method and system - Google Patents
Oil colours modal data and the correlation of account data determine method and system Download PDFInfo
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Abstract
The present invention provides a kind of oil colours modal data and the correlation of account data determines method and system.The correlation of the oil colours modal data and account data determines that method includes: acquisition multi-group data；Each data are labelled；Create multiple first sets；According to the group number of the quantity of label in first set and data, the first support of first set is obtained；When the first support is less than minimum support, the corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set；Execute iterative processing: multiple i-th set of creation obtain the i-th support according to the group number of the number of labels of the i-th set each in same group of data and data；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, the i-th item collection is combined into according to remaining i-th collection；Determine whether oil colours modal data is related to account data according to each set in each i-th item collection, the potential problems of substation can be excavated in time.
Description
Technical field
The present invention relates to data correlation fields, and in particular, to a kind of oil colours modal data and the correlation of account data are true
Determine method and system.
Background technique
With the continuous growth of power grid scale, demand of the people to correlation between a variety of substation datas of determination constantly increases
Add.Currently, work of transformer substation personnel can not determine that the oil colours modal data of substation is related to which account data, it is unfavorable for work
Monitored by personnel's work of transformer substation state further can not also excavate the potential problems of substation in time.
Summary of the invention
The main purpose of the embodiment of the present invention is to provide the correlation determination side of a kind of oil colours modal data and account data
Method and system facilitate personnel monitoring's work of transformer substation state to determine the correlation of oil colours modal data with account data, and
When excavate the potential problems of substation.
To achieve the goals above, the embodiment of the present invention provides the correlation determination of a kind of oil colours modal data and account data
Method, comprising:
Multi-group data is obtained, every group of data include a kind of oil colours modal data and a variety of account datas；
According to preset classifying rules by label different types of in each data post；
Multiple first sets are created, each first set includes one type label；
The quantity of label and the group number of data in each first set obtained according to statistics, obtain each first set
First support；
Judge whether the first support of each first set is less than minimum support；When the first support is less than most ramuscule
When degree of holding, the corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set；
Judge whether first item concentration has the corresponding first set of oil colours modal data, judges whether first item concentration has account
The corresponding first set of data；
When first item is concentrated with the corresponding first set of oil colours modal data and first item is concentrated with account data corresponding
When one set, following iterative processing is executed:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data in the (i-1)-th item collection
With the wherein i-1 class label of account data in the (i-1)-th item collection；The mark of each i-th set in the same group of data obtained according to statistics
The group number for signing quantity and data obtains the i-th support of each i-th set；Judge whether the i-th support is less than minimum support
Degree；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, is combined according to remaining i-th collection
At the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
According to each set in each i-th item collection, determine whether oil colours modal data is related to account data.
The embodiment of the present invention also provides a kind of oil colours modal data and the correlation of account data determines system, comprising:
Acquiring unit, for obtaining multi-group data, every group of data include a kind of oil colours modal data and a variety of account datas；
Tag unit, for according to preset classifying rules by label different types of in each data post；
Gather creating unit, for creating multiple first sets, each first set includes one type label；
Support unit, for obtaining according to the quantity of label and the group number of data in obtained each first set is counted
To the first support of each first set；
First judging unit, for judging whether the first support of each first set is less than minimum support；
Item collection unit, for when the first support is less than minimum support, deleting corresponding first collection of the first support
It closes, and the first item collection is formed according to remaining first set；
Second judgment unit judges for judging whether first item concentration has the corresponding first set of oil colours modal data
Whether account data corresponding first set is had in one item collection；
Iteration unit, for executing following iterative processing:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data in the (i-1)-th item collection
With the wherein i-1 class label of account data in the (i-1)-th item collection；The mark of each i-th set in the same group of data obtained according to statistics
The group number for signing quantity and data obtains the i-th support of each i-th set；Judge whether the i-th support is less than minimum support
Degree；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, is combined according to remaining i-th collection
At the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
Determination unit, for according to each set in each i-th item collection, determining whether are oil colours modal data and account data
It is related.
The embodiment of the present invention also provides a kind of computer equipment, including memory, processor and storage are on a memory simultaneously
The computer program that can be run on a processor, processor perform the steps of when executing computer program
Multi-group data is obtained, every group of data include a kind of oil colours modal data and a variety of account datas；
According to preset classifying rules by label different types of in each data post；
Multiple first sets are created, each first set includes one type label；
The quantity of label and the group number of data in each first set obtained according to statistics, obtain each first set
First support；
Judge whether the first support of each first set is less than minimum support；When the first support is less than most ramuscule
When degree of holding, the corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set；
Judge whether first item concentration has the corresponding first set of oil colours modal data, judges whether first item concentration has account
The corresponding first set of data；
When first item is concentrated with the corresponding first set of oil colours modal data and first item is concentrated with account data corresponding
When one set, following iterative processing is executed:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data in the (i-1)-th item collection
With the wherein i-1 class label of account data in the (i-1)-th item collection；The mark of each i-th set in the same group of data obtained according to statistics
The group number for signing quantity and data obtains the i-th support of each i-th set；Judge whether the i-th support is less than minimum support
Degree；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, is combined according to remaining i-th collection
At the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
According to each set in each i-th item collection, determine whether oil colours modal data is related to account data.
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored thereon with computer program, computer
It is performed the steps of when program is executed by processor
Multi-group data is obtained, every group of data include a kind of oil colours modal data and a variety of account datas；
According to preset classifying rules by label different types of in each data post；
Multiple first sets are created, each first set includes one type label；
The quantity of label and the group number of data in each first set obtained according to statistics, obtain each first set
First support；
Judge whether the first support of each first set is less than minimum support；When the first support is less than most ramuscule
When degree of holding, the corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set；
Judge whether first item concentration has the corresponding first set of oil colours modal data, judges whether first item concentration has account
The corresponding first set of data；
When first item is concentrated with the corresponding first set of oil colours modal data and first item is concentrated with account data corresponding
When one set, following iterative processing is executed:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data in the (i-1)-th item collection
With the wherein i-1 class label of account data in the (i-1)-th item collection；The mark of each i-th set in the same group of data obtained according to statistics
The group number for signing quantity and data obtains the i-th support of each i-th set；Judge whether the i-th support is less than minimum support
Degree；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, is combined according to remaining i-th collection
At the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
According to each set in each i-th item collection, determine whether oil colours modal data is related to account data.
The oil colours modal data of the embodiment of the present invention and the correlation of account data determine that method and system first obtain multiple groups number
According to according to preset classifying rules by label different types of in each data post, then multiple first sets being created, according to statistics
The group number of the quantity and data of label, obtains the first support of each first set, then in obtained each first set
Judge whether the first support of each first set is less than minimum support；When the first support is less than minimum support,
The corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set；Then judge first item
Whether have oil colours modal data corresponding first set, judge whether first item concentration has corresponding first collection of account data if concentrating
It closes；When first item is concentrated with the corresponding first set of oil colours modal data and first item is concentrated with the corresponding first set of account data
When, execute iterative processing: creation it is multiple i-th set, it is each i-th set include the (i-1)-th item collection in oil colours modal data wherein
The wherein i-1 class label of account data in a kind of label and the (i-1)-th item collection；Each i-th in the same group of data obtained according to statistics
The number of labels of set and the group number of data obtain the i-th support of each i-th set；Judge whether the i-th support is less than most
Small support；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, according to remaining i-th
Collection is combined into the i-th item collection；Enable i=i+1；Finally according to each set in each i-th item collection, oil colours modal data and account are determined
Whether data are related, can determine the correlation of oil colours modal data with account data, facilitate personnel monitoring's work of transformer substation
State excavates the potential problems of substation in time.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, embodiment will be described below
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without creative efforts, can also be attached according to these
Figure obtains other attached drawings.
Fig. 1 is the flow chart that the correlation of oil colours modal data and account data determines method in the embodiment of the present invention；
Fig. 2 is the structural block diagram that the correlation of oil colours modal data and account data determines system in the 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.
It can not determine that the oil colours modal data of substation is related to which account data in view of current work of transformer substation personnel, no
Conducive to personnel monitoring's work of transformer substation state, the potential problems of substation, the embodiment of the present invention can not be also excavated in time
A kind of oil colours modal data is provided and the correlation of account data determines method, can determine the phase of oil colours modal data with account data
Guan Xing facilitates personnel monitoring's work of transformer substation state, excavates the potential problems of substation in time.Below in conjunction with attached drawing pair
The present invention is described in detail.
Fig. 1 is the flow chart that the correlation of oil colours modal data and account data determines method in the embodiment of the present invention.Such as Fig. 1
Shown, the correlation of oil colours modal data and account data determines that method includes:
S101: multi-group data is obtained, every group of data include a kind of oil colours modal data and a variety of account datas.
S102: according to preset classifying rules by label different types of in each data post.
S103: creating multiple first sets, and each first set includes one type label.
S104: the quantity of label and the group number of data in each first set obtained according to statistics obtain each first
First support of set.
S105: judge whether the first support of each first set is less than minimum support；When the first support is less than
When minimum support, the corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set.
S106: judging whether first item concentration has the corresponding first set of oil colours modal data, whether judges first item concentration
There is the corresponding first set of account data.
S107: when first item be concentrated with the corresponding first set of oil colours modal data and first item to be concentrated with account data corresponding
First set when, execute following iterative processing: multiple i-th set of creation, each i-th set include oil in the (i-1)-th item collection
The wherein i-1 class label of account data in the one type label of chromatographic data and the (i-1)-th item collection；Same group obtained according to statistics
The group number of the number of labels of each i-th set and data in data, obtains the i-th support of each i-th set；Judge i-th
Whether degree of holding is less than minimum support；When the i-th support is less than minimum support, corresponding i-th collection of the i-th support is deleted
It closes, the i-th item collection is combined into according to remaining i-th collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
S108: according to each set in each i-th item collection, determine whether oil colours modal data is related to account data.
The correlation of oil colours modal data shown in FIG. 1 and account data determines that the executing subject of method can be computer.
Process as shown in Figure 1 is it is found that the oil colours modal data of the embodiment of the present invention and the correlation of account data determine that method first obtains
Multi-group data according to preset classifying rules by label different types of in each data post, then creates multiple first sets, root
The group number of the quantity and data of label in each first set obtained according to statistics, obtain each first set first are supported
Degree, then judges whether the first support of each first set is less than minimum support；When the first support is less than most ramuscule
When degree of holding, the corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set；Then judge
Whether first item concentration has the corresponding first set of oil colours modal data, judges whether first item concentration has account data corresponding the
One set；When first item is concentrated with the corresponding first set of oil colours modal data and first item is concentrated with account data corresponding first
When set, execute iterative processing: multiple i-th set of creation, each i-th set include oil colours modal data in the (i-1)-th item collection
The wherein i-1 class label of account data in one type label and the (i-1)-th item collection；It is each in the same group of data obtained according to statistics
The number of labels of i-th set and the group number of data obtain the i-th support of each i-th set；Judge whether the i-th support is small
In minimum support；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, according to remainder
I-th collection be combined into the i-th item collection；Enable i=i+1；Finally according to each set in each i-th item collection, oil colours modal data is determined
It is whether related to account data, it can determine the correlation of oil colours modal data with account data, facilitate personnel monitoring's power transformation
It stands working condition, excavates the potential problems of substation in time.
In one embodiment, it is combined into after the i-th item collection according to remaining i-th collection, further includes: same group obtained according to statistics
The number of labels of each i-th set and the number of labels for gathering corresponding oil colours modal data in group data each i-th in data,
Obtain the i-th confidence level of each i-th set；Judge whether the i-th confidence level of each i-th set is less than min confidence；When i-th
When confidence level is less than min confidence, corresponding i-th set of the i-th confidence level in the i-th item collection is deleted.
Wherein, oil colours modal data can be CO2、H2、CH4、O2、C2H4、N2、C2H6、C2H2Or CO.Implement through the invention
The oil colours modal data and the correlation of account data of example determine method, can determine each oil colours modal data respectively with which kind of account
Data are related.
It, can be according to the size of value data to label different types of in data post in one embodiment.
Wherein, the first support is the ratio between the quantity of label and the group number of data in each first set, each i-th set
The i-th support be number of labels and the ratio between group number of data with the i-th set each in group data, the i-th of each i-th set
Confidence level is the number of labels with the i-th set each in group data and the corresponding oil chromatography number with the i-th set each in group data
According to the ratio between number of labels.
In one embodiment, S108 is specifically included:
Judge whether each set in each item collection has the corresponding label of oil colours modal data, judges every in each item collection
Whether a set has the corresponding label of account data；When there is the corresponding label of oil colours modal data in set, and have one or more
When the corresponding label of account data, oil colours modal data is related to one or more account datas.
In one embodiment, before executing S102, further includes:
Judge data with the presence or absence of missing values；When there are missing values quantity when missing values, judged in every group of data for data
Whether the second default value is greater than or equal to；When the missing values quantity in one group of data is greater than or equal to the second default value,
Delete this group of data；When the missing values quantity in one group of data is less than the second default value, the missing in this group of data is judged
Whether value quantity is less than third default value；Wherein, the second default value is greater than third default value；When lacking in this group of data
When mistake value quantity is greater than or equal to third default value, the missing values of this group of data are filled using Lagrange's interpolation；When this
When missing values quantity in group data is less than third default value, average, the mode with missing values identical type data are chosen
Or median, fill missing values.
Wherein, judge data with the presence or absence of after missing values, further includes: to judge data whether within a preset range.If
Not within a preset range, then the data are outlier, delete the group where the data.
As the first default value n=3, the process of embodiment of the present invention is as follows:
1, multi-group data is obtained, every group of data include a kind of oil colours modal data and a variety of account datas.
2, according to preset classifying rules by label different types of in each data post.
For example, when the numerical value of oil colours modal data is more than or equal to 0 and when less than 10, labelled A1, when oil colours modal data
Numerical value is more than or equal to 10 and when less than 20, labelled A2, labelled when the numerical value of oil colours modal data is greater than or equal to 20
A3.Similar, when there are two types of account data, then labelled in the first account data according to the numerical value of the first account data
B1, B2 and B3 are signed, is labelled in second of account data C1, C2 and C3 according to the numerical value of second of account data.
3, multiple first sets are created, each first set includes one type label.
For example, one of first set includes the data of all labelled A1, another first set includes all
The data etc. of labelled B1.
4, according to the quantity of label and the group number of data in obtained each first set is counted, each first set is obtained
The first support.
For example, sharing 10 groups of data, wherein the data of labelled A1 have 6, the data of labelled A2 have 3, patch
The data of upper label A3 have 1, then the first support of the corresponding first set of label A 1 is 0.6, label A 2 corresponding first
First support of set is 0.3, and the first support of the corresponding first set of label A 3 is 0.1.
5, judge whether the first support of each first set is less than minimum support；When the first support is less than minimum
When support, the corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set.
For example, minimum support is 0.2, the corresponding first set of label A 3 is deleted at this time.
6, judge whether first item concentration has the corresponding first set of oil colours modal data, judge whether first item concentration has platform
The corresponding first set of account data.Wherein, when the corresponding first set of the no oil colours modal data of first item concentration, show first
There is no label A 1, A2 and the corresponding first set of A3 in item collection.When first item concentrates no account data corresponding first
When set, show that first item concentrates no label B 1, the corresponding first set of B2, B3, C1, C2 and C3.If first item
When the corresponding first set of no oil colours modal data and first item being concentrated to concentrate the corresponding first set of no account data, show
Oil colours modal data is unrelated with account data.
7, when first item is concentrated with the corresponding first set of oil colours modal data and first item to be concentrated with account data corresponding
When first set, multiple second sets are created, each second set includes the one type that first item concentrates oil colours modal data
Label and first item concentrate the one type label of account data；Each second set in the same group of data obtained according to statistics
The group number of number of labels and data obtains the second support of each second set；Judge whether the second support is less than minimum
Support；When the second support is less than minimum support, the corresponding second set of the second support is deleted, according to remaining the
Two collection are combined into Section 2 collection.
For example, it includes label A 1, A2, B2, B3, C1 and C2 that first item, which is concentrated, then it include mark in one of second set
A1, B1 are signed, another second set includes label A 2, C1 etc..When having in 4 groups of data while including label A 1, B1, then label
Second support of the corresponding second set of A1, B1 is 0.4, is greater than minimum support 0.2, Hold sticker A1, B1 corresponding the
Two set.When having in 1 group of data while including label A 2, C1, then the second support of the corresponding second set of label A 2, C1 is
0.1, it is less than minimum support 0.2, deletes label A 2, the corresponding second set of C1.
8, multiple third set are created, each third set includes the one type mark that Section 2 concentrates oil colours modal data
Label and Section 2 concentrate the wherein two class label of account data；The mark of each third set in the same group of data obtained according to statistics
The group number for signing quantity and data, obtains the third support of each third set；Judge whether third support is less than most ramuscule
Degree of holding；When third support is less than minimum support, the corresponding third set of third support is deleted, according to remaining third
Collection is combined into Section 3 collection.
For example, it includes label A 1, B2, B3 and C2 that Section 2, which is concentrated, then it include label A 1, B2 in one of third set
And C2, another third set include label A 1, B2 and B3 etc..When having in 3 groups of data while including label A 1, B2 and C2, then
The third support of label A 1, B2 and the corresponding third set of C2 is 0.3, is greater than minimum support 0.2, Hold sticker A1, B2
Third set corresponding with C2.When having in 1 group of data while including label A 1, B2 and B3, then label A 1, B2 and B3 corresponding the
The third support of three set is 0.1, is less than minimum support 0.2, deletes label A 1, B2 and the corresponding third set of B3.
9, according to the number of labels of each second set in the obtained same group of data of statistics and in group data each second
The number of labels for gathering corresponding oil colours modal data obtains the second confidence level of each second set.Judge each second set
The second confidence level whether be less than min confidence；When the second confidence level is less than min confidence, deletes Section 2 and concentrate the
The corresponding second set of two confidence levels.
For example, have in 4 groups of data while including label A 1, B1；Have in 6 groups of data while including label A 1, then label A 1,
Second confidence level of the corresponding second set of B1 is 2/3, when min confidence is 0.3, Hold sticker A1, B1 corresponding second
Set.
10, according to the number of labels of each third set in the obtained same group of data of statistics and with each third in group data
The number of labels for gathering corresponding oil colours modal data obtains the third confidence level of each third set.Judge each third set
Third confidence level whether be less than min confidence；When third confidence level is less than min confidence, deletes Section 3 and concentrate the
The corresponding third set of three confidence levels.
For example, have in 3 groups of data while including label A 1, B2 and C2；Have in 6 groups of data while including label A 1, then marks
The third confidence level for signing the corresponding third set of A1, B2 and C2 is 0.5, is greater than min confidence 0.3, Hold sticker A1, B2 and
The corresponding third set of C2.
11, each set concentrated according to each Section 2, determines whether oil colours modal data is related to account data.According to
Each set that each Section 3 is concentrated, determines whether oil colours modal data is related to account data.
For example, Section 2 concentrate one of second set in include label A 1, B1, then oil colours modal data and the first
Account data is related.It include label A 1, B2 and C2 in one of third set that Section 3 is concentrated, then oil colours modal data and the
A kind of account data is related to second of account data.
To sum up, the oil colours modal data of the embodiment of the present invention and the correlation of account data determine that method first obtains multiple groups number
According to according to preset classifying rules by label different types of in each data post, then multiple first sets being created, according to statistics
The group number of the quantity and data of label, obtains the first support of each first set, then in obtained each first set
Judge whether the first support of each first set is less than minimum support；When the first support is less than minimum support,
The corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set；Then judge first item
Whether have oil colours modal data corresponding first set, judge whether first item concentration has corresponding first collection of account data if concentrating
It closes；When first item is concentrated with the corresponding first set of oil colours modal data and first item is concentrated with the corresponding first set of account data
When, execute iterative processing: creation it is multiple i-th set, it is each i-th set include the (i-1)-th item collection in oil colours modal data wherein
The wherein i-1 class label of account data in a kind of label and the (i-1)-th item collection；Each i-th in the same group of data obtained according to statistics
The number of labels of set and the group number of data obtain the i-th support of each i-th set；Judge whether the i-th support is less than most
Small support；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, according to remaining i-th
Collection is combined into the i-th item collection；Enable i=i+1；Finally according to each set in each i-th item collection, oil colours modal data and account are determined
Whether data are related, can determine the correlation of oil colours modal data with account data, facilitate personnel monitoring's work of transformer substation
State excavates the potential problems of substation in time.
Based on the same inventive concept, the embodiment of the invention also provides the correlations of a kind of oil colours modal data and account data
Determining system, the correlation of the principle and oil colours modal data and account data that are solved the problems, such as due to the system determines that method is similar,
Therefore the implementation of the system may refer to the implementation of method, and overlaps will not be repeated.
Fig. 2 is the structural block diagram that the correlation of oil colours modal data and account data determines system in the embodiment of the present invention.Such as
Shown in Fig. 2, the correlation of oil colours modal data and account data determines that system includes:
Acquiring unit, for obtaining multi-group data, every group of data include a kind of oil colours modal data and a variety of account datas；
Tag unit, for according to preset classifying rules by label different types of in each data post；
Gather creating unit, for creating multiple first sets, each first set includes one type label；
Support unit, for obtaining according to the quantity of label and the group number of data in obtained each first set is counted
To the first support of each first set；
First judging unit, for judging whether the first support of each first set is less than minimum support；
Item collection unit, for when the first support is less than minimum support, deleting corresponding first collection of the first support
It closes, and the first item collection is formed according to remaining first set；
Second judgment unit judges for judging whether first item concentration has the corresponding first set of oil colours modal data
Whether account data corresponding first set is had in one item collection；
Iteration unit, for executing following iterative processing:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data in the (i-1)-th item collection
With the wherein i-1 class label of account data in the (i-1)-th item collection；The mark of each i-th set in the same group of data obtained according to statistics
The group number for signing quantity and data obtains the i-th support of each i-th set；Judge whether the i-th support is less than minimum support
Degree；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, is combined according to remaining i-th collection
At the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
Determination unit, for according to each set in each i-th item collection, determining whether are oil colours modal data and account data
It is related.
In a kind of wherein embodiment, iteration unit is also used to:
According to the number of labels of the i-th set each in the obtained same group of data of statistics and with the i-th set each in group data
The number of labels of corresponding oil colours modal data obtains the i-th confidence level of each i-th set；
Judge whether the i-th confidence level of each i-th set is less than min confidence；When the i-th confidence level is less than minimum confidence
When spending, corresponding i-th set of the i-th confidence level in the i-th item collection is deleted.
In a kind of wherein embodiment, determination unit is specifically used for:
Judge whether each set in each item collection has the corresponding label of oil colours modal data, judges every in each item collection
Whether a set has the corresponding label of account data；
When there is the corresponding label of oil colours modal data in set, and when having the corresponding label of one or more account datas, oil
Chromatographic data is related to one or more account datas.
In a kind of wherein embodiment, further includes missing value cell, is used for:
Judge data with the presence or absence of missing values；
When there are missing values quantity when missing values, judged in every group of data whether to be greater than or equal to the second present count for data
Value；
When the missing values quantity in one group of data is greater than or equal to the second default value, this group of data are deleted；
When the missing values quantity in one group of data is less than the second default value, the missing values quantity in this group of data is judged
Whether third default value is less than；Wherein, the second default value is greater than third default value；
When the missing values quantity in this group of data is greater than or equal to third default value, filled out using Lagrange's interpolation
Fill the missing values of this group of data；
When the missing values quantity in this group of data is less than third default value, choose and missing values identical type data
Average, mode or median fill missing values.
To sum up, the oil colours modal data of the embodiment of the present invention and the correlation of account data determine that system first obtains multiple groups number
According to according to preset classifying rules by label different types of in each data post, then multiple first sets being created, according to statistics
The group number of the quantity and data of label, obtains the first support of each first set, then in obtained each first set
Judge whether the first support of each first set is less than minimum support；When the first support is less than minimum support,
The corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set；Then judge first item
Whether have oil colours modal data corresponding first set, judge whether first item concentration has corresponding first collection of account data if concentrating
It closes；When first item is concentrated with the corresponding first set of oil colours modal data and first item is concentrated with the corresponding first set of account data
When, execute iterative processing: creation it is multiple i-th set, it is each i-th set include the (i-1)-th item collection in oil colours modal data wherein
The wherein i-1 class label of account data in a kind of label and the (i-1)-th item collection；Each i-th in the same group of data obtained according to statistics
The number of labels of set and the group number of data obtain the i-th support of each i-th set；Judge whether the i-th support is less than most
Small support；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, according to remaining i-th
Collection is combined into the i-th item collection；Enable i=i+1；Finally according to each set in each i-th item collection, oil colours modal data and account are determined
Whether data are related, can determine the correlation of oil colours modal data with account data, facilitate personnel monitoring's work of transformer substation
State excavates the potential problems of substation in time.
The embodiment of the invention also provides a kind of computer equipments, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
Multi-group data is obtained, every group of data include a kind of oil colours modal data and a variety of account datas；
According to preset classifying rules by label different types of in each data post；
Multiple first sets are created, each first set includes one type label；
The quantity of label and the group number of data in each first set obtained according to statistics, obtain each first set
First support；
Judge whether the first support of each first set is less than minimum support；When the first support is less than most ramuscule
When degree of holding, the corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set；
Judge whether first item concentration has the corresponding first set of oil colours modal data, judges whether first item concentration has account
The corresponding first set of data；
When first item is concentrated with the corresponding first set of oil colours modal data and first item is concentrated with account data corresponding
When one set, following iterative processing is executed:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data in the (i-1)-th item collection
With the wherein i-1 class label of account data in the (i-1)-th item collection；The mark of each i-th set in the same group of data obtained according to statistics
The group number for signing quantity and data obtains the i-th support of each i-th set；Judge whether the i-th support is less than minimum support
Degree；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, is combined according to remaining i-th collection
At the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
According to each set in each i-th item collection, determine whether oil colours modal data is related to account data.
To sum up, the computer equipment of the embodiment of the present invention first obtains multi-group data, will be each according to preset classifying rules
Different types of label in data post, then multiple first sets are created, label in each first set obtained according to statistics
The group number of quantity and data obtains the first support of each first set, then judges that the first of each first set is supported
Whether degree is less than minimum support；When the first support is less than minimum support, corresponding first collection of the first support is deleted
It closes, and the first item collection is formed according to remaining first set；Then judge whether first item concentration has oil colours modal data corresponding
First set, judges whether first item concentration has the corresponding first set of account data；When first item is concentrated with oil colours modal data
When corresponding first set and first item are concentrated with account data corresponding first set, iterative processing is executed: creation multiple i-th
Gather, account number in one type label and the (i-1)-th item collection of each i-th set including oil colours modal data in the (i-1)-th item collection
According to wherein i-1 class label；The group number of the number of labels of each i-th set and data in the same group of data obtained according to statistics,
Obtain the i-th support of each i-th set；Judge whether the i-th support is less than minimum support；When the i-th support is less than most
When small support, corresponding i-th set of the i-th support is deleted, the i-th item collection is combined into according to remaining i-th collection；Enable i=i+1；
Finally according to each set in each i-th item collection, determines whether oil colours modal data is related to account data, can determine oil colours
The correlation of modal data and account data facilitates personnel monitoring's work of transformer substation state, excavates the latent of substation in time
In problem.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, calculate
Machine program performs the steps of when being executed by processor
Multi-group data is obtained, every group of data include a kind of oil colours modal data and a variety of account datas；
According to preset classifying rules by label different types of in each data post；
Multiple first sets are created, each first set includes one type label；
The quantity of label and the group number of data in each first set obtained according to statistics, obtain each first set
First support；
Judge whether the first support of each first set is less than minimum support；When the first support is less than most ramuscule
When degree of holding, the corresponding first set of the first support is deleted, and the first item collection is formed according to remaining first set；
Judge whether first item concentration has the corresponding first set of oil colours modal data, judges whether first item concentration has account
The corresponding first set of data；
When first item is concentrated with the corresponding first set of oil colours modal data and first item is concentrated with account data corresponding
When one set, following iterative processing is executed:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data in the (i-1)-th item collection
With the wherein i-1 class label of account data in the (i-1)-th item collection；The mark of each i-th set in the same group of data obtained according to statistics
The group number for signing quantity and data obtains the i-th support of each i-th set；Judge whether the i-th support is less than minimum support
Degree；When the i-th support is less than minimum support, corresponding i-th set of the i-th support is deleted, is combined according to remaining i-th collection
At the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
According to each set in each i-th item collection, determine whether oil colours modal data is related to account data.
To sum up, the computer readable storage medium of the embodiment of the present invention first obtains multi-group data, according to preset classification gauge
Then by label different types of in each data post, then multiple first sets are created, each first set obtained according to statistics
The quantity of middle label and the group number of data, obtain the first support of each first set, then judge each first set
Whether the first support is less than minimum support；When the first support is less than minimum support, it is corresponding to delete the first support
First set, and according to remaining first set form the first item collection；Then judge whether first item concentration has oil chromatography number
According to corresponding first set, judge whether first item concentration has the corresponding first set of account data；When first item is concentrated with oil
When the corresponding first set of chromatographic data and first item are concentrated with account data corresponding first set, iterative processing is executed: wound
Multiple i-th set are built, each i-th set includes the one type label and the (i-1)-th item collection of oil colours modal data in the (i-1)-th item collection
The wherein i-1 class label of middle account data；The number of labels and data of each i-th set in the same group of data obtained according to statistics
Group number, obtain it is each i-th set the i-th support；Judge whether the i-th support is less than minimum support；When the i-th support
When less than minimum support, corresponding i-th set of the i-th support is deleted, the i-th item collection is combined into according to remaining i-th collection；Enable i
=i+1；Finally according to each set in each i-th item collection, determine whether oil colours modal data is related to account data, it can be true
The correlation of stand oil chromatographic data and account data facilitates personnel monitoring's work of transformer substation state, excavates power transformation in time
The potential problems stood.
Particular embodiments described above has carried out further in detail the purpose of the present invention, technical scheme and beneficial effects
Describe in detail it is bright, it should be understood that the above is only a specific embodiment of the present invention, the guarantor being not intended to limit the present invention
Range is protected, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should be included in this
Within the protection scope of invention.
Claims (10)
1. a kind of oil colours modal data and the correlation of account data determine method characterized by comprising
Multi-group data is obtained, every group of data include a kind of oil colours modal data and a variety of account datas；
According to preset classifying rules by label different types of in each data post；
Multiple first sets are created, each first set includes one type label；
The quantity of label and the group number of data in each first set obtained according to statistics, obtain the first of each first set
Support；
Judge whether the first support of each first set is less than minimum support；Described in being less than when first support most
When small support, the corresponding first set of first support is deleted, and the first item collection is formed according to remaining first set；
Judge whether the first item concentration has the corresponding first set of oil colours modal data, judges whether the first item concentration has
The corresponding first set of account data；
When the first item be concentrated with the corresponding first set of oil colours modal data and the first item to be concentrated with account data corresponding
First set when, execute following iterative processing:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data and the in the (i-1)-th item collection
The wherein i-1 class label of account data in i-1 item collection；The number of tags of each i-th set in the same group of data obtained according to statistics
The group number of amount and data obtains the i-th support of each i-th set；Judge whether i-th support is less than minimum support
Degree；When i-th support is less than the minimum support, corresponding i-th set of i-th support is deleted, according to remaining
Under i-th collection be combined into the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
According to each set in each i-th item collection, determine whether the oil colours modal data is related to the account data.
2. oil colours modal data according to claim 1 and the correlation of account data determine method, which is characterized in that according to
Remaining i-th collection is combined into after the i-th item collection, further includes:
It is corresponded to according to the number of labels of the i-th set each in the obtained same group of data of statistics and with the i-th set each in group data
Oil colours modal data number of labels, obtain it is each i-th set the i-th confidence level；
Judge whether the i-th confidence level of each i-th set is less than min confidence；When i-th confidence level is less than the minimum
When confidence level, corresponding i-th set of the i-th confidence level described in the i-th item collection is deleted.
3. oil colours modal data according to claim 1 and the correlation of account data determine method, which is characterized in that according to
Each set in each item collection determines whether the oil colours modal data is related to the account data, specifically includes:
Judge whether each set in each item collection has the corresponding label of oil colours modal data, judges each collection in each item collection
Whether close has the corresponding label of account data；
When there is the corresponding label of oil colours modal data in set, and when having the corresponding label of one or more account datas, the oil
Chromatographic data is related to one or more account datas.
4. oil colours modal data according to claim 3 and the correlation of account data determine method, which is characterized in that according to
Preset classifying rules will be before label different types of in each data post, further includes:
Judge the data with the presence or absence of missing values；
When there are missing values quantity when missing values, judged in every group of data whether to be greater than or equal to the second present count for the data
Value；
When the missing values quantity in one group of data is greater than or equal to second default value, described group of data are deleted；
When the missing values quantity in one group of data is less than the second default value, judge that the missing values quantity in described group of data is
It is no to be less than third default value；Wherein, second default value is greater than the third default value；
When the missing values quantity in described group of data is greater than or equal to the third default value, using Lagrange's interpolation
Fill the missing values of described group of data；
When the missing values quantity in described group of data is less than the third default value, choose and the missing values identical type
Average, mode or the median of data, fill the missing values.
5. a kind of oil colours modal data and the correlation of account data determine system characterized by comprising
Acquiring unit, for obtaining multi-group data, every group of data include a kind of oil colours modal data and a variety of account datas；
Tag unit, for according to preset classifying rules by label different types of in each data post；
Gather creating unit, for creating multiple first sets, each first set includes one type label；
Support unit, for obtaining every according to the quantity of label and the group number of data in obtained each first set is counted
First support of a first set；
First judging unit, for judging whether the first support of each first set is less than minimum support；
Item collection unit, for it is corresponding to delete first support when first support is less than the minimum support
First set, and according to remaining first set form the first item collection；
Second judgment unit judges institute for judging whether the first item concentration has the corresponding first set of oil colours modal data
State whether first item concentration has the corresponding first set of account data；
Iteration unit, for executing following iterative processing:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data and the in the (i-1)-th item collection
The wherein i-1 class label of account data in i-1 item collection；The number of tags of each i-th set in the same group of data obtained according to statistics
The group number of amount and data obtains the i-th support of each i-th set；Judge whether i-th support is less than minimum support
Degree；When i-th support is less than the minimum support, corresponding i-th set of i-th support is deleted, according to remaining
Under i-th collection be combined into the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
Determination unit, for determining the oil colours modal data and the account data according to each set in each i-th item collection
It is whether related.
6. oil colours modal data according to claim 5 and the correlation of account data determine system, which is characterized in that described
Iteration unit is also used to:
It is corresponded to according to the number of labels of the i-th set each in the obtained same group of data of statistics and with the i-th set each in group data
Oil colours modal data number of labels, obtain it is each i-th set the i-th confidence level；
Judge whether the i-th confidence level of each i-th set is less than min confidence；When i-th confidence level is less than the minimum
When confidence level, corresponding i-th set of the i-th confidence level described in the i-th item collection is deleted.
7. oil colours modal data according to claim 5 and the correlation of account data determine system, which is characterized in that described
Determination unit is specifically used for:
Judge whether each set in each item collection has the corresponding label of oil colours modal data, judges each collection in each item collection
Whether close has the corresponding label of account data；
When there is the corresponding label of oil colours modal data in set, and when having the corresponding label of one or more account datas, the oil
Chromatographic data is related to one or more account datas.
8. oil colours modal data according to claim 7 and the correlation of account data determine system, which is characterized in that also wrap
Missing value cell is included, is used for:
Judge the data with the presence or absence of missing values；
When there are missing values quantity when missing values, judged in every group of data whether to be greater than or equal to the second present count for the data
Value；
When the missing values quantity in one group of data is greater than or equal to second default value, described group of data are deleted；
When the missing values quantity in one group of data is less than the second default value, judge that the missing values quantity in described group of data is
It is no to be less than third default value；Wherein, second default value is greater than the third default value；
When the missing values quantity in described group of data is greater than or equal to the third default value, using Lagrange's interpolation
Fill the missing values of described group of data；
When the missing values quantity in described group of data is less than the third default value, choose and the missing values identical type
Average, mode or the median of data, fill the missing values.
9. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor performs the steps of when executing the computer program
Multi-group data is obtained, every group of data include a kind of oil colours modal data and a variety of account datas；
According to preset classifying rules by label different types of in each data post；
Multiple first sets are created, each first set includes one type label；
The quantity of label and the group number of data in each first set obtained according to statistics, obtain the first of each first set
Support；
Judge whether the first support of each first set is less than minimum support；Described in being less than when first support most
When small support, the corresponding first set of first support is deleted, and the first item collection is formed according to remaining first set；
Judge whether the first item concentration has the corresponding first set of oil colours modal data, judges whether the first item concentration has
The corresponding first set of account data；
When the first item be concentrated with the corresponding first set of oil colours modal data and the first item to be concentrated with account data corresponding
First set when, execute following iterative processing:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data and the in the (i-1)-th item collection
The wherein i-1 class label of account data in i-1 item collection；The number of tags of each i-th set in the same group of data obtained according to statistics
The group number of amount and data obtains the i-th support of each i-th set；Judge whether i-th support is less than minimum support
Degree；When i-th support is less than the minimum support, corresponding i-th set of i-th support is deleted, according to remaining
Under i-th collection be combined into the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
According to each set in each i-th item collection, determine whether the oil colours modal data is related to the account data.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
It is performed the steps of when being executed by processor
Multi-group data is obtained, every group of data include a kind of oil colours modal data and a variety of account datas；
According to preset classifying rules by label different types of in each data post；
Multiple first sets are created, each first set includes one type label；
The quantity of label and the group number of data in each first set obtained according to statistics, obtain the first of each first set
Support；
Judge whether the first support of each first set is less than minimum support；Described in being less than when first support most
When small support, the corresponding first set of first support is deleted, and the first item collection is formed according to remaining first set；
Judge whether the first item concentration has the corresponding first set of oil colours modal data, judges whether the first item concentration has
The corresponding first set of account data；
When the first item be concentrated with the corresponding first set of oil colours modal data and the first item to be concentrated with account data corresponding
First set when, execute following iterative processing:
Multiple i-th set are created, each i-th set includes the one type label of oil colours modal data and the in the (i-1)-th item collection
The wherein i-1 class label of account data in i-1 item collection；The number of tags of each i-th set in the same group of data obtained according to statistics
The group number of amount and data obtains the i-th support of each i-th set；Judge whether i-th support is less than minimum support
Degree；When i-th support is less than the minimum support, corresponding i-th set of i-th support is deleted, according to remaining
Under i-th collection be combined into the i-th item collection；Enable i=i+1；Wherein, 2≤i≤n, n are the first default value；
According to each set in each i-th item collection, determine whether the oil colours modal data is related to the account data.
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Application publication date: 20190115 |