CN107784423A - Statistical indicator processing method, device and terminal device - Google Patents
Statistical indicator processing method, device and terminal device Download PDFInfo
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Abstract
Statistical indicator processing method, device and terminal device, methods described include：Determine that there is identical statistical dimension and the statistical indicator of measurement period in actuarial subsystems；Store statistical dimension and measurement period corresponding to the statistical indicator；Calculated according to the statistical dimension and measurement period and store the statistical indicator.By the above method, to same statistical indicator, actuarial subsystems have been greatly saved system resource and cost of labor without all counting one time again.
Description
Technical field
The invention belongs to technical field of data processing, more particularly to statistical indicator processing method, device and terminal device.
Background technology
The operation data of life insurance is divided into the information of declaration form, the information of insurance kind, insurer or the information of warrantee, Claims Resolution letter
Breath, channel information, save from damage accept information, core protects information, account information, guarantee fund's information etc..Actuarial subsystems it is main
Function is to analyze the operation data of life insurance, obtains corresponding statistical indicator.Wherein, statistical indicator includes：Surrender value, premium,
Insured amount, accumulative payment amount of money, Claims Resolution gold, partly get the amount of money, the weight disease payment amount of money, account value, declaration form issue etc..It is but existing
Actuarial subsystems it is determined that during same statistical indicator, its statistical dimension with measurement period be most probably all it is similar,
And the statistics repeated not only wastes system resource, also verify to follow-up demand exploitation, data consistency and add difficulty and people
Work cost.
For example it is determined that during this statistical indicator of surrender value, the monthly closing entry flow piecemeal of Reserve Fund is from policy information, insurance kind
Information, save from damage to accept surrender value is determined in information, account information, and one (All In One, AIO) system determines cash valency
During value, its statistical dimension is similar with Reserve Fund system, but because the AIO systems can not directly use showing for Reserve Fund system again
This data of price of gold value, therefore must be counted again one time by the statistical of Reserve Fund system, so as to waste resource.
The content of the invention
In view of this, it is existing to solve the embodiments of the invention provide statistical indicator processing method, device and terminal device
The problem of needing to recalculate the wasting of resources caused by one time to same statistical indicator in technology.
The first aspect of the embodiment of the present invention provides a kind of statistical indicator processing method, including：
Determine that there is identical statistical dimension and the statistical indicator of measurement period in actuarial subsystems；
Store statistical dimension and measurement period corresponding to the statistical indicator；
Calculated according to the statistical dimension and measurement period and store the statistical indicator.
The second aspect of the embodiment of the present invention provides a kind of statistical indicator processing unit, including：
Statistical indicator determining unit, for determining that there is identical statistical dimension and measurement period in actuarial subsystems
Statistical indicator；
Statistical dimension and period storage unit, for storing statistical dimension and measurement period corresponding to the statistical indicator；
Statistical indicator computing unit, refer to for the statistics to be calculated and stored according to the statistical dimension and measurement period
Mark.
The third aspect of the embodiment of the present invention provides a kind of terminal device, including memory, processor and is stored in
In the memory and the computer program that can run on the processor, described in the computing device during computer program
Realize such as the step of statistical indicator processing method.
The fourth aspect of the embodiment of the present invention provides a kind of computer-readable recording medium, the computer-readable storage
Media storage has computer program, and the step such as statistical indicator processing method is realized when the computer program is executed by processor
Suddenly.
Existing beneficial effect is the embodiment of the present invention compared with prior art：
Due to being calculated according to statistical dimension and measurement period and storing statistical indicator, and the statistical indicator is in each height of actuarial
There is identical statistical dimension and measurement period in system, therefore, be easy to follow-up actuarial subsystems to directly invoke calculated
Statistical indicator, so as to be greatly saved system without all counting one time again to same statistical indicator, actuarial subsystems
Resource and cost of labor.
Brief description of the drawings
Technical scheme in order to illustrate the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
In the required accompanying drawing used be briefly described, it should be apparent that, drawings in the following description be only the present invention some
Embodiment, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these
Accompanying drawing obtains other accompanying drawings.
Fig. 1 is a kind of flow chart of statistical indicator processing method provided in an embodiment of the present invention；
Fig. 2 is a kind of structure chart of statistical indicator processing unit provided in an embodiment of the present invention；
Fig. 3 is the schematic diagram of terminal device provided in an embodiment of the present invention.
Embodiment
In describing below, in order to illustrate rather than in order to limit, it is proposed that such as tool of particular system structure, technology etc
Body details, thoroughly to understand the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention can also be realized in the other embodiments of details.In other situations, omit to well-known system, device, electricity
Road and the detailed description of method, in case unnecessary details hinders description of the invention.
In order to illustrate technical solutions according to the invention, illustrated below by specific embodiment.
Fig. 1 shows a kind of flow chart of statistical indicator processing method provided in an embodiment of the present invention, and details are as follows：
Step S101, determine that there is identical statistical dimension and the statistical indicator of measurement period in actuarial subsystems.
Wherein, in actuarial subsystems have identical statistical dimension, the statistical indicator of measurement period include it is following at least
One：Substantially protection amount, Valid Insured Amount, purchase number, surrender value, amount for which loss settled, get the amount of money, bonus, existence gold, account valency
Be worth, subtract clear increment, Reserve Fund, the weight disease payment amount of money, the disabled payment amount of money, payment number, cumulative payment amount of money, declaration form year,
Pay the fees year etc..
Wherein, statistical dimension includes：Declaration form, insurance kind, insurance kind classification, (insurer or warrantee) occupation, (insurer or by
Guarantor) age, (insurer or warrantee) sex, declaration form come into force year, attendant, insurance kind state, channel, do not pay not etc..
Wherein, measurement period includes：Day, the moon, half a year, year etc..
Alternatively, in order to obtain the statistical indicator of user's needs, then after the step S101, including：
The statistical indicator with identical dimensional and measurement period uses frequency in A1, the statistics actuarial subsystems
Rate, and according to the frequency of use rank of the statistical result division statistical indicator.For example, the frequency of use rank by statistical indicator
It is divided into high, medium and low.
A2, reject the statistical indicator that frequency of use rank is specified frequency of use rank.Wherein, frequency of use rank is specified
Typically refer to rank corresponding to the relatively low statistical indicator of frequency of use.For example, when specified frequency of use rank is " low ", then pick
Except frequency of use rank is low statistical indicator.
Alternatively, in order to improve the frequency of use of the statistical indicator of determination, then after the A2, including：
A21, the form of remaining statistical indicator is converted into specified format.Specifically, it will first perform and remained after rejecting operation
Remaining statistical indicator is sorted out, further according to categorization results, for example, requiring that statistics refers to according to the different classes of difference to form
Target form is converted to the specified format of its generic requirement.Because statistical indicator includes unit, date format, age level
Level, multiple components such as hierarchical level are paid, therefore, the form of statistical indicator is converted into specified format and referred to the list of statistical indicator
Position, date format, age level, the form of paying hierarchical level etc. are converted to specified format.
A22, acquisition are converted to declaration form state corresponding to the statistical indicator of specified format, and it is invalid system to reject declaration form state
Count index.Specifically, when it is N, F, C to detect declaration form state, the declaration form state is judged to be invalid, and reject invalid declaration form
Statistical indicator corresponding to state.
Step S102, statistical dimension and measurement period corresponding to the statistical indicator are stored.
Specifically, specific declaration form data corresponding to statistical dimension and measurement period are stored.
Alternatively, the step S102 includes：
B1, determine statistical dimension corresponding to the statistical indicator and the storage model of measurement period.
B2, when the storage model is that primary collects model, association takes out granularity and is accurate to the statistical dimension of number of policy
And including when, the minute, second date measurement period, by declaration form data Cun Chudao institutes corresponding to the statistical dimension of taking-up and measurement period
State primary and collect model.Granularity is most thin statistical dimension for the statistical dimension of number of policy, is passed through because the primary collects model
Preserve the declaration form data under perfect substantial amounts of statistical dimension, thus disclosure satisfy that need inventory using.
B3, when the storage model is higher-level aggregation model, association take out include insurer, warrantee and insurance kind classification
Statistical dimension, and, association is taken out when including, the measurement period on minute, second date, by the statistical dimension and measurement period of taking-up
Higher-level aggregation model described in corresponding declaration form data Cun Chudao.Specifically, in higher-level aggregation model, without preserve number of policy this
Statistical dimension, it can only retain the statistical dimension including insurer, warrantee and insurance kind classification to reduce data volume.
Alternatively, in above-mentioned B1, when measurement period is using the moon as unit, then judge current date whether the scheduled date it
Before, such as judge whether before No. 4 of this month, if, it is determined that storage model collect model for primary.In addition, in order to subtract
Influence to routine work when storing less, the then form for collecting model according to primary at morning 0 are stored in corresponding to day data
Statistical indicator；After completing primary and collecting model, filter the primary according to the form of higher-level aggregation model and collect model, obtain
The statistical dimension and measurement period of higher-level aggregation model need to be stored in.
After statistical dimension corresponding to deposit in collecting model and higher-level aggregation model in primary and measurement period, Yong Huke
Declaration form data corresponding to corresponding statistical dimension and corresponding measurement period are transferred from the two models, due to repeating to count all
Index all be uniformly changed to go out from data model, hence in so that system architecture is clearly demarcated, data-reusing, the readability of code is all big
It is big to improve, and artificial exploitation maintenance cost is reduced, and reduce system resource and take.
Alternatively, after the B2 and B3, including：
C1, the primary call number for collecting model and higher-level aggregation model in a period of time is counted respectively.
C2, the primary collect the call number of model and the call number of the higher-level aggregation model difference be more than it is pre-
If during difference threshold, the primary for judging to call collects the statistical dimension of model and measurement period whether there is deleted information,
And when the primary of calling collects the statistical dimension of model and measurement period has deleted information, count the statistics dimension of reservation
The number of the information of degree and measurement period, the number of reservation is more than the statistical dimension of preset times threshold value and measurement period counts
Dimension and the information of measurement period increase in higher-level aggregation model.
In above-mentioned C1 and C2, what primary collected model storage is detailed statistical dimension and measurement period, and higher-level aggregation
Model storage is that rough statistical dimension and measurement period, two kinds of different storage modes disclosure satisfy that different demands, for example,
If desired Accurate Analysis can then directly invoke the declaration form data that the primary collects model storage, if interval time is too long, be not required to
Excessive information content is wanted, then calls the declaration form data of higher-level aggregation model storage.Certainly, the specific system of higher-level aggregation model storage
Meter dimension and measurement period can regularly update, to ensure that the primary after updating collects model and higher-level aggregation model is more bonded reality
Demand.Specifically, the primary call number for collecting model and higher-level aggregation model in a period of time is counted respectively, is collected in primary
The call number of model apparently higher than higher-level aggregation model call number when, judge call primary collect model statistics dimension
Degree and measurement period are with the presence or absence of deleted information, if so, time for the statistical dimension and the information of measurement period that statistics retains
Count, and number is reached into the statistical dimension of certain threshold value and the information of measurement period to increase in higher-level aggregation model.
Alternatively, the step S102 includes：
Data of taking pictures are generated according to statistical dimension corresponding to the statistical indicator and measurement period, and store taking pictures for generation
Data, to ensure the integrality of data (such as of that month data), meet the application demand of moon data needs analysis declaration form state.
Step S103, calculated according to the statistical dimension and measurement period and store the statistical indicator.
Specifically, difference statistics is calculated previously according to the statistical dimension and measurement period that calculate needed for different statistical indicators
Index, subsequently to directly invoke statistical indicator.
Certainly, after statistical indicator is calculated, can take pictures data according to the statistical indicator of calculating generation statistical indicator, and deposit
Store up the data of taking pictures.
Alternatively, after step s 103, including, the call instruction of statistical indicator is received, is called according to the call instruction
Corresponding statistical indicator.
In the embodiment of the present invention, the statistics for determining to have identical statistical dimension and measurement period in actuarial subsystems refers to
Mark, stores statistical dimension and measurement period corresponding to the statistical indicator, is calculated simultaneously according to the statistical dimension and measurement period
Store the statistical indicator.Due to being calculated according to statistical dimension and measurement period and storing statistical indicator, and the statistical indicator exists
Have identical statistical dimension and measurement period, therefore, be easy to follow-up actuarial subsystems directly to adjust in actuarial subsystems
With calculated statistical indicator, so as to same statistical indicator, actuarial subsystems without all counting one time again, greatly
Save system resource and cost of labor.
It should be understood that the size of the sequence number of each step is not meant to the priority of execution sequence, each process in above-described embodiment
Execution sequence should determine that the implementation process without tackling the embodiment of the present invention forms any limit with its function and internal logic
It is fixed.
Fig. 2 shows a kind of structural representation of statistical indicator processing unit provided in an embodiment of the present invention, for ease of saying
It is bright, the part related to this implementation is illustrate only, the statistical indicator processing unit 2 includes：Statistical indicator determining unit 21, statistics
Dimension and period storage unit 22, statistical indicator computing unit 23.Wherein：
Statistical indicator determining unit 21, for determining that there is identical statistical dimension and measurement period in actuarial subsystems
Statistical indicator.
Wherein, in actuarial subsystems have identical statistical dimension, the statistical indicator of measurement period include it is following at least
One：Substantially protection amount, Valid Insured Amount, purchase number, surrender value, amount for which loss settled, get the amount of money, bonus, existence gold, account valency
Be worth, subtract clear increment, Reserve Fund, the weight disease payment amount of money, the disabled payment amount of money, payment number, cumulative payment amount of money, declaration form year,
Pay the fees year etc..
Wherein, statistical dimension includes：Declaration form, insurance kind, insurance kind classification, (insurer or warrantee) occupation, (insurer or by
Guarantor) age, (insurer or warrantee) sex, declaration form come into force year, attendant, insurance kind state, channel, do not pay not etc..
Alternatively, in order to obtain the statistical indicator of user's needs, the statistical indicator processing unit includes：
Frequency of use partition of the level module, there is identical dimensional and statistics week for counting in the actuarial subsystems
The frequency of use of the statistical indicator of phase, and according to the frequency of use rank of the statistical result division statistical indicator.
Statistical indicator rejects module, is to specify the statistical indicator of frequency of use rank for rejecting frequency of use rank.Its
In, specify frequency of use rank to typically refer to rank corresponding to the relatively low statistical indicator of frequency of use.
Alternatively, in order to improve the frequency of use of the statistical indicator of determination, the statistical indicator processing unit includes：
Format converting module, for the form of remaining statistical indicator to be converted into specified format.Specifically, will first perform
Remaining statistical indicator is sorted out after rejecting operation, is required further according to the different classes of difference to form, the lattice of statistical indicator
Formula is converted to the specified format of its generic requirement.
The statistical indicator of disarmed state rejects module, and declaration form corresponding to the statistical indicator of specified format is converted to for obtaining
State, it is invalid statistical indicator to reject declaration form state.
Statistical dimension and period storage unit 22, for storing statistical dimension corresponding to the statistical indicator and statistics week
Phase.
Specifically, specific declaration form data corresponding to statistical dimension and measurement period are stored, it is alternatively, first in storage
First statistical dimension and measurement period generate data of taking pictures according to corresponding to the statistical indicator, then store the data of taking pictures of generation.
The statistical dimension and period storage unit 22 include：
Storage model determining module, for determining the storage mould of statistical dimension corresponding to the statistical indicator and measurement period
Type.Alternatively, when measurement period is using the moon as unit, then judge that current date whether before the scheduled date, such as judges whether
Before No. 4 of this month, if, it is determined that storage model collect model for primary.In addition, to daily during in order to reduce storage
The influence of work, the then form for collecting model according to primary at morning 0 are stored in statistical indicator corresponding to day data；Complete
After primary collects model, filter the primary according to the form of higher-level aggregation model and collect model, obtain that higher-level aggregation need to be stored in
The statistical dimension and measurement period of model.
Primary collects model data store module, for when the storage model is that primary collects model, association to be taken out
Granularity be accurate to number of policy statistical dimension and including when, the minute, second date measurement period, by the statistical dimension and statistics of taking-up
Primary described in declaration form data Cun Chudao corresponding to cycle collects model.
Higher-level aggregation model data store module, for when the storage model is higher-level aggregation model, association to be taken out
Include the statistical dimension of insurer, warrantee and insurance kind classification, and, association is taken out when including, the statistics week on minute, second date
Phase, by higher-level aggregation model described in declaration form data Cun Chudao corresponding to the statistical dimension of taking-up and measurement period.Specifically, it is advanced
Collect in model, without preserving number of policy this statistical dimension, can only retain including insurer, warrantee and insurance kind classification
Statistical dimension is to reduce data volume.
Alternatively, the statistical indicator processing unit includes：
Call number statistic unit, for counting the primary tune for collecting model and higher-level aggregation model in a period of time respectively
Use number.
The information adding unit of higher-level aggregation model, for collect in the primary call number of model with it is described advanced
When collecting the difference of the call number of model and being more than preset difference value threshold value, the primary for judging to call collects the statistical dimension and system of model
The cycle is counted with the presence or absence of deleted information, and collects the statistical dimension of model in the primary of calling and measurement period exists and deleted
During the information removed, the number of the statistical dimension of reservation and the information of measurement period is counted, the number of reservation is more than preset times
The statistical dimension and measurement period statistical dimension and the information of measurement period of threshold value increase in higher-level aggregation model.
Statistical indicator computing unit 23, refer to for the statistics to be calculated and stored according to the statistical dimension and measurement period
Mark.
Specifically, difference statistics is calculated previously according to the statistical dimension and measurement period that calculate needed for different statistical indicators
Index, subsequently to directly invoke statistical indicator.
Certainly, after statistical indicator is calculated, can take pictures data according to the statistical indicator of calculating generation statistical indicator, and deposit
Store up the data of taking pictures.
Alternatively, the statistical indicator processing unit includes：Call instruction receiving unit, for receiving the tune of statistical indicator
With instruction, the statistical indicator according to corresponding to calling the call instruction.
In the embodiment of the present invention, due to being calculated according to statistical dimension and measurement period and storing statistical indicator, and the statistics
Index has identical statistical dimension and measurement period, therefore, be easy to follow-up actuarial subsystems in actuarial subsystems
Calculated statistical indicator is directly invoked, so as to which to same statistical indicator, actuarial subsystems without all counting one again
Time, it has been greatly saved system resource and cost of labor.
Fig. 3 is the schematic diagram of terminal device provided in an embodiment of the present invention.As shown in figure 3, the terminal device 3 of the embodiment
Including：Processor 30, memory 31 and it is stored in the calculating that can be run in the memory 31 and on the processor 30
Machine program 32.The processor 30 realizes above-mentioned each statistical indicator processing method embodiment when performing the computer program 32
In step, such as the step S101 to S103 shown in Fig. 1.Or the processor 30 is when performing the computer program 32
Realize the function of each module/unit in above-mentioned each device embodiment, such as the function of module 21 to 23 shown in Fig. 2.
Exemplary, the computer program 32 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 31, and are performed by the processor 30, to complete the present invention.Described one
Individual or multiple module/units can be the series of computation machine programmed instruction section that can complete specific function, and the instruction segment is used for
Implementation procedure of the computer program 32 in the terminal device 3 is described.For example, the computer program 32 can be divided
Statistical indicator determining unit, statistical dimension and period storage unit, statistical indicator computing unit are cut into, each module concrete function is such as
Under：
Statistical indicator determining unit, for determining that there is identical statistical dimension and measurement period in actuarial subsystems
Statistical indicator；
Statistical dimension and period storage unit, for storing statistical dimension and measurement period corresponding to the statistical indicator；
Statistical indicator computing unit, refer to for the statistics to be calculated and stored according to the statistical dimension and measurement period
Mark.
The terminal device 3 can be that the calculating such as desktop PC, notebook, palm PC and cloud server are set
It is standby.The terminal device may include, but be not limited only to, processor 30, memory 31.It will be understood by those skilled in the art that Fig. 3
The only example of terminal device 3, the restriction to terminal device 3 is not formed, can included than illustrating more or less portions
Part, some parts or different parts are either combined, such as the terminal device can also include input-output equipment, net
Network access device, bus etc..
Alleged processor 30 can be CPU (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other PLDs, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng.
The memory 31 can be the internal storage unit of the terminal device 3, such as the hard disk of terminal device 3 or interior
Deposit.The memory 31 can also be the External memory equipment of the terminal device 3, such as be equipped with the terminal device 3
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, dodge
Deposit card (Flash Card) etc..Further, the memory 31 can also both include the storage inside list of the terminal device 3
Member also includes External memory equipment.The memory 31 is used to store needed for the computer program and the terminal device
Other programs and data.The memory 31 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each work(
Can unit, module division progress for example, in practical application, can be as needed and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device are divided into different functional units or module, more than completion
The all or part of function of description.Each functional unit, module in embodiment can be integrated in a processing unit, also may be used
To be that unit is individually physically present, can also two or more units it is integrated in a unit, it is above-mentioned integrated
Unit can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.In addition, each function list
Member, the specific name of module are not limited to the protection domain of the application also only to facilitate mutually distinguish.Said system
The specific work process of middle unit, module, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and is not described in detail or remembers in some embodiment
The part of load, it may refer to the associated description of other embodiments.
Those of ordinary skill in the art are it is to be appreciated that the list of each example described with reference to the embodiments described herein
Member and algorithm steps, it can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
Performed with hardware or software mode, application-specific and design constraint depending on technical scheme.Professional and technical personnel
Described function can be realized using distinct methods to each specific application, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, can be with
Realize by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of division of logic function, there can be other dividing mode when actually realizing, such as
Multiple units or component can combine or be desirably integrated into another system, or some features can be ignored, or not perform.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be by some interfaces, device
Or INDIRECT COUPLING or the communication connection of unit, can be electrical, mechanical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated module/unit realized in the form of SFU software functional unit and as independent production marketing or
In use, it can be stored in a computer read/write memory medium.Based on such understanding, the present invention realizes above-mentioned implementation
All or part of flow in example method, by computer program the hardware of correlation can also be instructed to complete, described meter
Calculation machine program can be stored in a computer-readable recording medium, and the computer program can be achieved when being executed by processor
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation
Code can be source code form, object identification code form, executable file or some intermediate forms etc..The computer-readable medium
It can include：Any entity or device, recording medium, USB flash disk, mobile hard disk, the magnetic of the computer program code can be carried
Dish, CD, computer storage, read-only storage (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It is it should be noted that described
The content that computer-readable medium includes can carry out appropriate increasing according to legislation in jurisdiction and the requirement of patent practice
Subtract, such as in some jurisdictions, electric carrier signal and electricity are not included according to legislation and patent practice, computer-readable medium
Believe signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although with reference to foregoing reality
Example is applied the present invention is described in detail, it will be understood by those within the art that：It still can be to foregoing each
Technical scheme described in embodiment is modified, or carries out equivalent substitution to which part technical characteristic；And these are changed
Or replace, the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical scheme, all should
Within protection scope of the present invention.
Claims (10)
- A kind of 1. statistical indicator processing method, it is characterised in that including：Determine that there is identical statistical dimension and the statistical indicator of measurement period in actuarial subsystems；Store statistical dimension and measurement period corresponding to the statistical indicator；Calculated according to the statistical dimension and measurement period and store the statistical indicator.
- 2. statistical indicator processing method as claimed in claim 1, it is characterised in that in the determination actuarial subsystems After statistical indicator with identical statistical dimension and measurement period, including：Counting has the frequency of use of identical dimensional and the statistical indicator of measurement period in the actuarial subsystems, and according to Statistical result divides the frequency of use rank of the statistical indicator；It is to specify the statistical indicator of frequency of use rank to reject frequency of use rank.
- 3. statistical indicator processing method as claimed in claim 2, it is characterised in that reject frequency of use rank described to refer to After the statistical indicator for determining frequency of use rank, including：The form of remaining statistical indicator is converted into specified format；Acquisition is converted to declaration form state corresponding to the statistical indicator of specified format, and it is invalid statistical indicator to reject declaration form state.
- 4. statistical indicator processing method as claimed in claim 1, it is characterised in that corresponding to the storage statistical indicator Statistical dimension and measurement period, including：Determine statistical dimension corresponding to the statistical indicator and the storage model of measurement period；The storage model be primary collect model when, association take out granularity be accurate to number of policy statistical dimension and including When, the measurement period on minute, second date, will be primary described in declaration form data Cun Chudao corresponding to the statistical dimension of taking-up and measurement period Collect model；When the storage model is higher-level aggregation model, the statistics for including insurer, warrantee and insurance kind classification is taken out in association Dimension, and, association is taken out when including, the measurement period on minute, second date, by corresponding to the statistical dimension of taking-up and measurement period Higher-level aggregation model described in declaration form data Cun Chudao.
- 5. statistical indicator processing method as claimed in claim 4, it is characterised in that in the statistical dimension and system by taking-up It is primary described in declaration form data Cun Chudao corresponding to the meter cycle to collect model and described that the statistical dimension of taking-up and statistics is all After higher-level aggregation model described in declaration form data Cun Chudao corresponding to phase, including：The primary call number for collecting model and higher-level aggregation model in a period of time is counted respectively；The difference for collecting the call number of model and the call number of the higher-level aggregation model in the primary is more than preset difference value During threshold value, the primary for judging to call collects the statistical dimension of model and measurement period whether there is deleted information, and is adjusting Primary collects the statistical dimension of model and when measurement period has deleted information, counts the statistical dimension and system of reservation Count the cycle information number, by the number of reservation be more than preset times threshold value statistical dimension and measurement period statistical dimension and The information of measurement period increases in higher-level aggregation model.
- A kind of 6. statistical indicator processing unit, it is characterised in that including：Statistical indicator determining unit, for determining that there is identical statistical dimension and the statistics of measurement period in actuarial subsystems Index；Statistical dimension and period storage unit, for storing statistical dimension and measurement period corresponding to the statistical indicator；Statistical indicator computing unit, for the statistical indicator to be calculated and stored according to the statistical dimension and measurement period.
- 7. statistical indicator processing unit as claimed in claim 6, it is characterised in that the statistical indicator processing unit includes：Frequency of use partition of the level module, for counting there is identical dimensional and measurement period in the actuarial subsystems The frequency of use of statistical indicator, and according to the frequency of use rank of the statistical result division statistical indicator；Statistical indicator rejects module, is to specify the statistical indicator of frequency of use rank for rejecting frequency of use rank.
- 8. statistical indicator processing unit as claimed in claim 6, it is characterised in that the statistical dimension and period storage unit Including：Storage model determining module, for determining statistical dimension corresponding to the statistical indicator and the storage model of measurement period；Primary collects model data store module, for when the storage model is that primary collects model, granularity to be taken out in association Be accurate to number of policy statistical dimension and including when, the minute, second date measurement period, by the statistical dimension and measurement period of taking-up Primary described in corresponding declaration form data Cun Chudao collects model；Higher-level aggregation model data store module, for when the storage model is higher-level aggregation model, association taking-up to include The statistical dimension of insurer, warrantee and insurance kind classification, and, association is taken out when including, the measurement period on minute, second date, will Higher-level aggregation model described in declaration form data Cun Chudao corresponding to the statistical dimension and measurement period of taking-up.
- 9. a kind of terminal device, including memory, processor and it is stored in the memory and can be on the processor The computer program of operation, it is characterised in that realize such as claim 1 to 5 described in the computing device during computer program The step of any one methods described.
- 10. a kind of computer-readable recording medium, the computer-readable recording medium storage has computer program, and its feature exists In when the computer program is executed by processor the step of realization such as any one of claim 1 to 5 methods described.
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