CN108122129A - A kind of data processing method, device and electronic equipment - Google Patents
A kind of data processing method, device and electronic equipment Download PDFInfo
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- CN108122129A CN108122129A CN201711247905.9A CN201711247905A CN108122129A CN 108122129 A CN108122129 A CN 108122129A CN 201711247905 A CN201711247905 A CN 201711247905A CN 108122129 A CN108122129 A CN 108122129A
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Abstract
The application provides a kind of data processing method, device and electronic equipment.This method includes：Determine at least two target local market data；Calculate liveness of at least two target data sources in objective time interval；Based on the liveness being calculated, the current corresponding auxiliary weight factor of at least two target local market data is determined；Wherein, data current corresponding auxiliary weight factor in either objective local market is：Liveness of the target data source in objective time interval corresponding to the target local market data；Based on the current corresponding auxiliary weight factor of at least two target local market data, averaging is weighted at least two target local market data, obtains the corresponding comprehensive marketing data of at least two targets local market data.It can solve the problem of that the reliability when data source is abnormal using corresponding comprehensive marketing data is relatively low by this programme.
Description
Technical field
This application involves data processing field, more particularly to a kind of data processing method, device and electronic equipment.
Background technology
The local market data of financial institution, the exchange rate quotation issued such as financial institution, the continuous gold for transaction system
Melt products quotation or the market quotes for the real-time valuation of financial asset etc., be normally based on the marketing data of the third-party institution
It is determined after directly determining or process, wherein, the marketing data of the third-party institution is commonly known as " data source ".Wherein, for
For financial institution, the third-party institution can be compared with more higher leveled mechanism of the financial institution, alternatively, specially providing market
The mechanism of data.And from the entire transmission process that the third-party institution sends that data source receives data source to financial institution, such as
The a certain link of fruit or certain several link go wrong, it is most likely that cause data source that the exception of the types such as interruption or delay occurs.
In addition, the data that financial institution shows to user, which further include, needs the comprehensive marketing data for meeting market discipline,
The comprehensive marketing data is：Obtained data are averaging by least two local market data weightings.Wherein, comprehensive city
Field data needs are updated with the update of the local market data relied on.
But once at least two local market data, there is the local market number that corresponding data source is abnormal
According to if continued according to existing weighting averaging mode, it will cause the comprehensive marketing data away from the market calculated
Rule influences the reliability of comprehensive marketing data.
The content of the invention
In view of this, the application provides a kind of data processing method, device and electronic equipment, to solve to occur in data source
When abnormal, the problem of reliability of corresponding comprehensive marketing data is relatively low.
Specifically, the application is achieved by the following technical solution：
In a first aspect, this application provides a kind of data processing method, including：
Determine at least two target local market data；Wherein, at least two targets local market data are calculating
Local market data needed for comprehensive marketing data；
Calculate liveness of at least two target data sources in objective time interval；Wherein, at least two target data
Source is：With the corresponding data source of at least two targets local market data；The objective time interval is：With current point in time
For time cut off and with scheduled duration period；
Based on the liveness being calculated, determine that at least two targets local market data are current corresponding auxiliary
Help weight factor；Wherein, data current corresponding auxiliary weight factor in either objective local market is：The target local market
Liveness of the target data source corresponding to data in objective time interval；
Based on the current corresponding auxiliary weight factor of at least two targets local market data, to described at least two
A target local market data are weighted averaging, and it is corresponding comprehensive to obtain at least two targets local market data
Marketing data.
Optionally, described the step of calculating liveness of at least two target data sources in objective time interval, including：
The data variation frequency based on at least two targets local market data in objective time interval determines at least two
Liveness of a target data source in the objective time interval.
Optionally, the data variation frequency based on at least two targets local market data in objective time interval
It is secondary, the step of determining liveness of at least two target data sources in the objective time interval, including：
Each target local market data are directed to, count first of the target local market data in each sub-period
Update times；Wherein, each sub-period is the partial period in the objective time interval；
First update times of each sub-period are averaging, obtain the first average update times；
Using the described first average update times as target data source corresponding to the target local market data in the mesh
Mark the liveness in the period.
Optionally, the data variation frequency based on at least two targets local market data in objective time interval
It is secondary, the step of determining liveness of at least two target data sources in the objective time interval, including：
For each target local market data, second update of the target local market data in objective time interval is counted
Number；
Based on second update times, the corresponding second average update time of per unit duration in the objective time interval is calculated
Number；
Described second average update times are determined as target data source corresponding to the target local market data described
Liveness in objective time interval.
Second aspect, this application provides a kind of data processing equipment, including：
Local data determination unit, for determining at least two target local market data；Wherein, at least two mesh
Sample marketing data to calculate the local market data needed for comprehensive marketing data；
Liveness computing unit, for calculating liveness of at least two target data sources in objective time interval；Wherein, institute
Stating at least two target data sources is：With the corresponding data source of at least two targets local market data；The target
Period is：Using current point in time as time cut off and with scheduled duration period；
Weight factor determination unit is aided in, for based on the liveness being calculated, determining at least two target
The current corresponding auxiliary weight factor of local market data；Wherein, current corresponding auxiliary of either objective local market data
The weight factor is helped to be：Liveness of the target data source in objective time interval corresponding to the target local market data；
Comprehensive marketing data computing unit, it is currently corresponding for being based on at least two targets local market data
Auxiliary weight factor, averaging is weighted at least two targets local market data, obtains described at least two
The corresponding comprehensive marketing data of target local market data.
Optionally, the liveness computing unit includes：
Liveness computation subunit, for the number based on at least two targets local market data in objective time interval
According to the variation frequency, liveness of at least two target data sources in the objective time interval is determined.
Optionally, the liveness computation subunit is specifically used for：
Each target local market data are directed to, count first of the target local market data in each sub-period
Update times；Wherein, each sub-period is the partial period in the objective time interval；
First update times of each sub-period are averaging, obtain the first average update times；
Using the described first average update times as target data source corresponding to the target local market data in the mesh
Mark the liveness in the period.
Optionally, the liveness computation subunit is specifically used for：
For each target local market data, second update of the target local market data in objective time interval is counted
Number；
Based on second update times, the corresponding second average update time of per unit duration in the objective time interval is calculated
Number；
Described second average update times are determined as target data source corresponding to the target local market data described
Liveness in objective time interval.
The third aspect, this application provides a kind of electronic equipment, including：Internal bus, memory, processor and communication connect
Mouthful；Wherein, the processor, the communication interface, the memory complete mutual communication by the internal bus；Its
In, the memory, for the feasible instruction of the corresponding machine of stored data processing method；The processor, it is described for reading
The machine readable instructions on memory, to perform data processing method described herein.
In scheme provided herein, when needing to calculate comprehensive marketing data, determine to calculate comprehensive marketing data
At least two required target local market data；Calculate liveness of at least two target data sources in objective time interval；Base
In the liveness being calculated, the current corresponding auxiliary weight factor of at least two targets local market data is determined；
Based on the current corresponding auxiliary weight factor of at least two targets local market data, to this districts and cities of at least two targets
Field data is weighted averaging, obtains the corresponding comprehensive marketing data of at least two targets local market data.As it can be seen that
In the present solution, weight of the target local market data in the calculating process of comprehensive marketing data corresponding to target data source by
To the influence of the target data source liveness of itself, so greatly reduce when data source is abnormal to comprehensive meat market number
According to influence, therefore, can be solved by this programme when data source is abnormal, the reliability of corresponding comprehensive marketing data
The problem of relatively low.
Description of the drawings
A kind of data detection method flow chart that Fig. 1 is provided by the embodiment of the present application；
After Fig. 2 is interrupted for data source, the synthesis meat market that is calculated using the prior art and the application method
The comparison diagram of the oscillogram of data；
A kind of structure diagram for data detection device that Fig. 3 is provided by the embodiment of the present application；
The structure diagram for a kind of electronic equipment that Fig. 4 is provided by the embodiment of the present application.
Specific embodiment
Here exemplary embodiment will be illustrated in detail, example is illustrated in the accompanying drawings.Following description is related to
During attached drawing, unless otherwise indicated, the same numbers in different attached drawings represent the same or similar element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the application.
It is only merely for the purpose of description specific embodiment in term used in this application, and is not intended to be limiting the application.
It is also intended in the application and " one kind " of singulative used in the attached claims, " described " and "the" including majority
Form, unless context clearly shows that other meanings.It is also understood that term "and/or" used herein refers to and wraps
Containing one or more associated list items purposes, any or all may be combined.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the application
A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, it is not departing from
In the case of the application scope, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as
One information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining ".
In order to solve the problem of that the reliability of the corresponding comprehensive marketing data when data source is abnormal is relatively low, this Shen
It please provide a kind of data processing method, device and electronic equipment.
A kind of data processing method provided herein is introduced first below.
It should be noted that data processing method provided herein can be applied in electronic equipment, which sets
Standby can be the equipment for generating comprehensive marketing data, also, the equipment of the comprehensive marketing data of the generation can be with generating institute
The equipment of the local market data of dependence is identical or different.In order to quote conveniently, will hereinafter setting for local market data be generated
It is standby to be named as：Target device.
It is understood that target device is after the data source of the third-party institution is received, based on received data
Source automatically generates local market data, and exports generated local market data；And the electronic equipment can be based on being relied on
Local market data comprehensive marketing data is calculated.
Wherein, the specific generating mode of local market data can be：Received data source is directly determined as this
Received data source alternatively, according to specific conversion regime, is converted to local market data by ground marketing data, so-called
Specific conversion regime can be conversion regime of the prior art and different types of data source can correspond to different conversions
Mode due to not being present invention point, does not limit herein.In addition, the way of output of local market data can be logical
Remote display terminals output is crossed, can also be exported by the way that terminal is locally displayed, this is all rational.
It is emphasized that local market data described herein can include but is not limited to：Financial institution is sent out
The exchange rate quotation of cloth, the market quotes for the continuous financial product quotation of transaction system or for the real-time valuation of financial asset
Deng.
As shown in Figure 1, a kind of data processing method provided herein, may include steps of：
S101 determines at least two target local market data；
Wherein, which is the local market number needed for the comprehensive marketing data of calculating
According to.
When needing to calculate comprehensive marketing data, it can determine which target the comprehensive marketing data relies on first
Local market data, and then perform follow-up calculation process.
It is understood that calculating can be triggered when reaching the comprehensive marketing data corresponding scheduled update time point
The comprehensive marketing data, alternatively, can be touched when the more new command on the comprehensive marketing data that acquisition user sends
Hair calculates the comprehensive marketing data, alternatively, triggering calculates the synthesis when monitoring relied on local market data update
Meat market data.
S102 calculates liveness of at least two target data sources in objective time interval；
Wherein, which is：With the corresponding data of at least two targets local market data
Source；The objective time interval is：Using current point in time as time cut off and with scheduled duration period；It is in addition, so-called current
Time point is the calculating triggering moment of the comprehensive marketing data, it is, calculating the liveness in scheduled duration in the past；Institute
The liveness of meaning refers specifically to：Characterize data changes the parameter of the frequency.In a particular application, scheduled duration can be according to actual conditions
Setting, the application do not limit this, for example：The scheduled duration can be set as 30s, 60s, 100s, 120s, 240s etc.
Deng.
Since whenever target data source is received, target device can be generated based on received target data source
Target local market data, that is to say, that whenever target data source is received, target local market data can occur more
Newly, therefore, in the application, the liveness of target data source is embodied by more newly arriving for target local market data.Based on this kind
Thought is handled, described the step of calculating liveness of at least two target data sources in objective time interval, can be included：
Based on the data variation frequency of at least two targets local market data in objective time interval, at least two are determined
Liveness of the target data source in the objective time interval.
Wherein, based on the data variation frequency of at least two targets local market data in objective time interval, determine to
There are a variety of for the specific implementation of few liveness of two target data sources in the objective time interval.Citing introduces two kinds below
Specific implementation.
Optionally, in a kind of specific implementation, the described at least two targets local market data that are based on are in target
The data variation frequency in period, the step of determining liveness of at least two target data sources in the objective time interval, can be with
Including：
Each target local market data are directed to, count first of the target local market data in each sub-period
Update times；Wherein, which is the partial period in the objective time interval；
First update times of each sub-period are averaging, obtain the first average update times；
Using the first average update times as target data source corresponding to the target local market data in the target
Liveness in section.
Wherein, in this kind of specific implementation, objective time interval is divided into multiple sub-periods, counts this districts and cities of target respectively
First update times of the field data in each sub-period, and then the first update times of each sub-period are averaging,
The first average update times are obtained, and using first average time as target data source corresponding to the target local market data
Liveness in objective time interval.For example：Assuming that current point in time is 8:00, scheduled duration 240s, then objective time interval
For 7:56-8:00, then the objective time interval can be divided into 4 sub-periods, i.e.,：8:00-7:59,7:59-7:58,7:58-
7:57,7:58-7:56, the first update times of each sub-period are counted respectively, and each first update times are averaging institute
The value obtained is determined as liveness of the target data source in objective time interval corresponding to the target local market data.
It is optionally, described based on the data variation frequency of at least two targets local market data in objective time interval,
The step of determining liveness of at least two target data sources in the objective time interval, can include：
For each target local market data, second update of the target local market data in objective time interval is counted
Number；
Based on second update times, the corresponding second average update times of per unit duration in the objective time interval are calculated；
The second average update times are determined as target data source corresponding to the target local market data in the target
Liveness in period.
Wherein, in the specific implementation, by objective time interval period as a whole, statistics target market data are in the entirety
The second update times in period, and based on second update times calculate per unit duration in the objective time interval corresponding the
Two average update times, so by second update times be determined as the target local market data corresponding to target data source exist
Liveness in the objective time interval, wherein, unit time may be set according to actual conditions, such as：Unit time for 1s, 5s,
10s, 20s etc..For example：Assuming that current point in time is 8:00, scheduled duration 240s, then objective time interval is 7:56-8:
00, unit time 10s, then 7 can be counted:56-8:The second update times in 00 this period, and based on this second more
New number calculates every 10s corresponding second averagely update times in the objective time interval, and by be calculated second averagely more
New number is as target data source corresponding to the target local market data in the liveness of objective time interval.
It is emphasized that liveness of above-mentioned given at least two target data source of calculating in objective time interval
Specific implementation is merely exemplary, should not form the restriction to the application.Also, " the first update described above
" second " in " first " " the second update times " in number " is used only for distinguishing in two kinds of specific implementations from name
Update times, and without any limiting meaning；Similar, " first " in " the first average update times " described above
" second " in " the second average update times " is used only for distinguishing the average update in two kinds of specific implementations from name
Number, and without any limiting meaning.
S103 based on the liveness being calculated, determines that the current institute of at least two targets local market data is right
The auxiliary weight factor answered；Wherein, data current corresponding auxiliary weight factor in either objective local market is：The target sheet
Liveness of the target data source in objective time interval corresponding to ground marketing data；
In order to solve prior art problem, in the application, by the work of target data source corresponding to the data of target local market
Jerk, as the influence factor of weight of the target local market data in comprehensive marketing data calculating process, in this way, one
When denier target data source is abnormal, the liveness of the target data source is affected, and target corresponding to the target data source
Weight of the local market data in calculating process also changes, so that the reliability of comprehensive marketing data is had
Effect ensures.For example：Once the liveness corresponding to the target data source is 0, it is most likely that is interrupted, at this point, the mesh
Target local market data corresponding to mark data source will not be participated in the calculating process of comprehensive marketing data.
S104, based on the current corresponding auxiliary weight factor of at least two targets local market data, to this at least
Two target local market data are weighted averaging, and it is corresponding comprehensive to obtain at least two targets local market data
Marketing data.
It should be noted that it in the formula being averaging in the original weighting of aggregate data is per target all the way that the application, which is,
Local market data increase an auxiliary weight factor, and the other parameter in the formula of weighting averaging is not carried out more
Change.For example：
For comprehensive marketing data for for comprehensive quotation, corresponding weight of comprehensive quotation is asked in the prior art
Average formula is：
Wherein, VWAP be comprehensive quotation, WFiFor the default weight coefficient of the corresponding history of target local market data i,
ViFor the corresponding exchange hands of target local market data i, RiFor the corresponding bid prices of target local market data i.
After the application increases the liveness as auxiliary weight factor, which is averaging formula
For：
Wherein, DVWAP be comprehensive quotation, wiWeight factor is aided in for target corresponding to the data i of target local market, i.e.,
Liveness of the target data source in objective time interval corresponding to the data i of target local market.
It in addition, is compared by Fig. 2 come directly perceived after if data source interrupts, using the prior art and the application method institute
The oscillogram for the comprehensive marketing data being calculated, wherein, in the Fig. 2, abscissa is the quotation time, which passes through
Sequence number represents that ordinate represents quotation, and curve 1 represents that, using comprehensive quotation determined by the prior art, the expression of curve 2 is adopted
The comprehensive quotation determined by method provided herein, since curve 1 employs the last one valency after data source 2 is interrupted
Lattice participate in weight calculation, and until data source 2 has recovered data update, and curve 2 is had ignored after data source 2 is interrupted to recovering update
The price of period avoids influence of the low price of credible rate to comprehensive quotation, and therefore, curve 2 more accords with for curve 1
Close market price tendency.
It is understood that the corresponding comprehensive marketing data of at least two targets local market data is being calculated
Afterwards, the comprehensive marketing data being calculated as newest comprehensive marketing data and can be exported.
In scheme provided herein, when needing to calculate comprehensive marketing data, determine to calculate comprehensive marketing data
At least two required target local market data；Calculate liveness of at least two target data sources in objective time interval；Base
In the liveness being calculated, the current corresponding auxiliary weight factor of at least two targets local market data is determined；
Based on the current corresponding auxiliary weight factor of at least two targets local market data, to this districts and cities of at least two targets
Field data is weighted averaging, obtains the corresponding comprehensive marketing data of at least two targets local market data.As it can be seen that
In the present solution, weight of the target local market data in the calculating process of comprehensive marketing data corresponding to target data source by
To the influence of the target data source liveness of itself, so greatly reduce when data source is abnormal to comprehensive meat market number
According to influence, therefore, can be solved by this programme when data source is abnormal, the reliability of corresponding comprehensive marketing data
The problem of relatively low.
Corresponding to above method embodiment, present invention also provides a kind of data processing equipment, as shown in figure 3, the dress
Putting can include：
Local data determination unit 310, for determining at least two target local market data；Wherein, described at least two
A target local market data are the local market data needed for the comprehensive marketing data of calculating；
Liveness computing unit 320, for calculating liveness of at least two target data sources in objective time interval；Its
In, at least two target data source is：With the corresponding data source of at least two targets local market data；It is described
Objective time interval is：Using current point in time as time cut off and with scheduled duration period；
Weight factor determination unit 330 is aided in, for based on the liveness being calculated, determining at least two mesh
The sample ground current corresponding auxiliary weight factor of marketing data；Wherein, either objective local market data are current corresponding
Auxiliary weight factor be：Liveness of the target data source in objective time interval corresponding to the target local market data；
Comprehensive marketing data computing unit 340, for being based on the current institute of at least two targets local market data
Corresponding auxiliary weight factor is weighted averaging at least two targets local market data, obtain it is described at least
The corresponding comprehensive marketing data of two target local market data.
In scheme provided herein, when needing to calculate comprehensive marketing data, determine to calculate comprehensive marketing data
At least two required target local market data；Calculate liveness of at least two target data sources in objective time interval；Base
In the liveness being calculated, the current corresponding auxiliary weight factor of at least two targets local market data is determined；
Based on the current corresponding auxiliary weight factor of at least two targets local market data, to this districts and cities of at least two targets
Field data is weighted averaging, obtains the corresponding comprehensive marketing data of at least two targets local market data.As it can be seen that
In the present solution, weight of the target local market data in the calculating process of comprehensive marketing data corresponding to target data source by
To the influence of the target data source liveness of itself, so greatly reduce when data source is abnormal to comprehensive meat market number
According to influence, therefore, can be solved by this programme when data source is abnormal, the reliability of corresponding comprehensive marketing data
The problem of relatively low.
Optionally, the liveness computing unit 320 includes：
Liveness computation subunit, for the number based on at least two targets local market data in objective time interval
According to the variation frequency, liveness of at least two target data sources in the objective time interval is determined.
Optionally, the liveness computation subunit is specifically used for：
Each target local market data are directed to, count first of the target local market data in each sub-period
Update times；Wherein, each sub-period is the partial period in the objective time interval；
First update times of each sub-period are averaging, obtain the first average update times；
Using the described first average update times as target data source corresponding to the target local market data in the mesh
Mark the liveness in the period.
Optionally, the liveness computation subunit is specifically used for：
For each target local market data, second update of the target local market data in objective time interval is counted
Number；
Based on second update times, the corresponding second average update time of per unit duration in the objective time interval is calculated
Number；
Described second average update times are determined as target data source corresponding to the target local market data described
Liveness in objective time interval.
The function of unit and the realization process of effect specifically refer to and step are corresponded in the above method in above device
Realization process, details are not described herein.
For device embodiment, since it corresponds essentially to embodiment of the method, so related part is real referring to method
Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separating component
The unit of explanation may or may not be physically separate, and the component shown as unit can be or can also
It is not physical location, you can be located at a place or can also be distributed in multiple network element.It can be according to reality
It needs that some or all of module therein is selected to realize the purpose of application scheme.Those of ordinary skill in the art are not paying
In the case of going out creative work, you can to understand and implement.
Corresponding to above method embodiment, present invention also provides a kind of electronic equipment, as shown in figure 4, this kind of electronics is set
It is standby, including：Internal bus 410, memory (memory) 420, processor (processor) 430 and communication interface
(Communications Interface)440；Wherein, the processor 430, the communication interface 440, the memory
420 complete mutual communication by the internal bus 410；Wherein, the memory 420, for storing data processing side
The feasible instruction of the corresponding machine of method；The processor 430, for reading the machine readable instructions on the memory 420,
To perform data processing method provided herein.
Associated description wherein on the specific steps of data detection method may refer in the application embodiment of the method
Description content, this will not be repeated here.
Wherein, memory 420 for example can be nonvolatile memory (non-volatile memory).Processor 430
The logical order for performing the realization data processing method in memory 420 can be called, to perform above-mentioned data processing method.
If realize that the function of the logical order of data detection method is realized in the form of SFU software functional unit and as solely
Vertical production marketing in use, can be stored in a computer read/write memory medium.Based on such understanding, this Shen
The part or the part of the technical solution that technical solution please substantially in other words contributes to the prior art can be with soft
The form of part product embodies, which is stored in a storage medium, including some instructions making
Computer equipment (can be personal computer, server or the network equipment etc.) performs each embodiment of the present invention
The all or part of step of the method.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. it is various
The medium of program code can be stored.
Those skilled in the art will readily occur to the application its after considering specification and putting into practice invention disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the application, these modifications, purposes or
Person's adaptive change follows the general principle of the application and including the undocumented common knowledge in the art of the application
Or conventional techniques.Description and embodiments are considered only as illustratively, and the true scope and spirit of the application are by following
Claim is pointed out.
It should be appreciated that the precision architecture that the application is not limited to be described above and be shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.Scope of the present application is only limited by appended claim.
The foregoing is merely the preferred embodiment of the application, not limiting the application, all essences in the application
God and any modification, equivalent substitution, improvement and etc. within principle, done, should be included within the scope of the application protection.
Claims (9)
1. a kind of data processing method, which is characterized in that the described method includes：
Determine at least two target local market data；Wherein, at least two targets local market data integrate to calculate
Local market data needed for meat market data；
Calculate liveness of at least two target data sources in objective time interval；Wherein, at least two target data source is：
With the corresponding data source of at least two targets local market data；The objective time interval is：Using current point in time as when
Between cut off and with scheduled duration period；
Based on the liveness being calculated, the current corresponding auxiliary power of at least two targets local market data is determined
Repeated factor；Wherein, data current corresponding auxiliary weight factor in either objective local market is：The target local market data
Liveness of the corresponding target data source in objective time interval；
Based on the current corresponding auxiliary weight factor of at least two targets local market data, at least two mesh
Sample marketing data be weighted averaging, obtain the corresponding comprehensive meat market of at least two targets local market data
Data.
2. according to the method described in claim 1, it is characterized in that, at least two target data sources of the calculating are in objective time interval
The step of interior liveness, including：
The data variation frequency based on at least two targets local market data in objective time interval, determines at least two mesh
Mark liveness of the data source in the objective time interval.
3. according to the method described in claim 2, it is characterized in that, described be based on at least two targets local market data
The data variation frequency in objective time interval determines the step of liveness of at least two target data sources in the objective time interval
Suddenly, including：
Each target local market data are directed to, count first update of the target local market data in each sub-period
Number；Wherein, each sub-period is the partial period in the objective time interval；
First update times of each sub-period are averaging, obtain the first average update times；
Using the described first average update times as target data source corresponding to the target local market data in the target
Liveness in section.
4. according to the method described in claim 2, it is characterized in that, described be based on at least two targets local market data
The data variation frequency in objective time interval determines the step of liveness of at least two target data sources in the objective time interval
Suddenly, including：
For each target local market data, second update time of the target local market data in objective time interval is counted
Number；
Based on second update times, the corresponding second average update times of per unit duration in the objective time interval are calculated；
Described second average update times are determined as target data source corresponding to the target local market data in the target
Liveness in period.
5. a kind of data processing equipment, which is characterized in that described device includes：
Local data determination unit, for determining at least two target local market data；Wherein, at least two targets sheet
Ground marketing data is the local market data needed for the comprehensive marketing data of calculating；
Liveness computing unit, for calculating liveness of at least two target data sources in objective time interval；Wherein, it is described extremely
Two target data sources are less：With the corresponding data source of at least two targets local market data；The objective time interval
For：Using current point in time as time cut off and with scheduled duration period；
Weight factor determination unit is aided in, for based on the liveness being calculated, determining that at least two target is local
The current corresponding auxiliary weight factor of marketing data；Wherein, the current corresponding auxiliary power of either objective local market data
Repeated factor is：Liveness of the target data source in objective time interval corresponding to the target local market data；
Comprehensive marketing data computing unit, for based on current corresponding auxiliary of at least two targets local market data
Weight factor is helped, averaging is weighted at least two targets local market data, obtains at least two target
The corresponding comprehensive marketing data of local market data.
6. device according to claim 5, which is characterized in that the liveness computing unit includes：
Liveness computation subunit becomes for the data based on at least two targets local market data in objective time interval
Change the frequency, determine liveness of at least two target data sources in the objective time interval.
7. device according to claim 6, which is characterized in that the liveness computation subunit is specifically used for：
Each target local market data are directed to, count first update of the target local market data in each sub-period
Number；Wherein, each sub-period is the partial period in the objective time interval；
First update times of each sub-period are averaging, obtain the first average update times；
Using the described first average update times as target data source corresponding to the target local market data in the target
Liveness in section.
8. device according to claim 6, which is characterized in that the liveness computation subunit is specifically used for：
For each target local market data, second update time of the target local market data in objective time interval is counted
Number；
Based on second update times, the corresponding second average update times of per unit duration in the objective time interval are calculated；
Described second average update times are determined as target data source corresponding to the target local market data in the target
Liveness in period.
9. a kind of electronic equipment, which is characterized in that including：Internal bus, memory, processor and communication interface；Wherein, it is described
Processor, the communication interface, the memory complete mutual communication by the internal bus；Wherein, the storage
Device, for the feasible instruction of the corresponding machine of stored data processing method；The processor, for reading the institute on the memory
Machine readable instructions are stated, 1-4 any one of them methods are required with perform claim.
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