CN110399988A - Equipment portrait generation method and system - Google Patents
Equipment portrait generation method and system Download PDFInfo
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- CN110399988A CN110399988A CN201910700941.9A CN201910700941A CN110399988A CN 110399988 A CN110399988 A CN 110399988A CN 201910700941 A CN201910700941 A CN 201910700941A CN 110399988 A CN110399988 A CN 110399988A
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Abstract
The present invention provides a kind of equipment portrait generation method and systems.The described method includes: acquisition equipment initial data；The equipment initial data is converted into unstructured data；Corresponding unstructured data and data model are chosen according to the customer parameter of acquisition；The unstructured data of selection is substituted into the data model and is calculated, equipment portrait analysis result is obtained.The present invention passes through the modes such as data acquisition, data processing, accurately equipment portrait is calculated in binding model, and the equipment precisely drawn is drawn a portrait, the equipment signature analysis of various dimensions is supplied to user, solves the facility information treatment process that current user cannot achieve by manual type.
Description
Technical field
The present invention relates to equipment Portrait brand technology field, espespecially a kind of equipment portrait generation method and system.
Background technique
All multisystems and channel are registered with for the management of asset of equipments and information within the enterprise at present, how to be broken
It is drawn between system, between product with the inside and outside data barrier of row, all kinds of static informations of integration refinement and tendency information, perfect enterprise grade equipment
As view is that user is suffered from a problem that.
Summary of the invention
To solve the above-mentioned problems, the embodiment of the present invention provides a kind of equipment portrait generation method, which comprises
Acquire equipment initial data；
The equipment initial data is converted into unstructured data；
Corresponding unstructured data and data model are chosen according to the customer parameter of acquisition；
The unstructured data of selection is substituted into the data model and is calculated, equipment portrait analysis result is obtained.
Optionally, in an embodiment of the present invention, the equipment initial data includes: facility information, equipment operation, equipment
Guarantee, customer information and group's report.
Optionally, in an embodiment of the present invention, described that corresponding unstructured number is chosen according to the customer parameter of acquisition
According to and data model include: according to customer parameter choose participate in calculate unstructured data；It is chosen and is joined according to customer parameter
The data model to match with the unstructured data of calculating, wherein the data model includes binding rate class model, liveness
Model, early warning class model, industry class model, Characteristic Analysis Model and prediction class model.
Optionally, in an embodiment of the present invention, the unstructured data by selection substitutes into the data model
It is calculated, obtaining equipment portrait analysis result includes: to substitute into the unstructured data of selection in the data model to carry out
It calculates, obtains calculated result；According to the calculated result, determine device attribute label, wherein the device attribute label to
Form the equipment portrait analysis result.
The embodiment of the present invention also provides a kind of equipment portrait generation system, the system comprises:
Data acquisition module, for acquiring equipment initial data；
Data conversion module, for the equipment initial data to be converted to unstructured data；
Module is chosen, for choosing corresponding unstructured data and data model according to the customer parameter of acquisition；
Computing module calculates for substituting into the unstructured data of selection in the data model, obtains equipment
Portrait analysis result.
Optionally, in an embodiment of the present invention, the equipment initial data includes: facility information, equipment operation, equipment
Guarantee, customer information and group's report.
Optionally, in an embodiment of the present invention, the selection module includes: data selecting unit, for according to user
Parameter chooses the unstructured data for participating in calculating；Model selection unit, for choosing according to customer parameter and participating in calculating
The data model that unstructured data matches, wherein the data model includes binding rate class model, liveness model, pre-
Alert class model, industry class model, Characteristic Analysis Model and prediction class model.
Optionally, in an embodiment of the present invention, the computing module includes: result cells, for what will be chosen
Unstructured data is substituted into the data model and is calculated, and obtains calculated result；Attribute tags unit, for according to
Calculated result determines device attribute label, wherein the device attribute label is to form the equipment portrait analysis result.
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, the processor perform the steps of when executing the computer program
Acquire equipment initial data；
The equipment initial data is converted into unstructured data；
Corresponding unstructured data and data model are chosen according to the customer parameter of acquisition；
The unstructured data of selection is substituted into the data model and is calculated, equipment portrait analysis result is obtained.
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored thereon with computer program, the meter
Calculation machine program performs the steps of when being executed by processor
Acquire equipment initial data；
The equipment initial data is converted into unstructured data；
Corresponding unstructured data and data model are chosen according to the customer parameter of acquisition；
The unstructured data of selection is substituted into the data model and is calculated, equipment portrait analysis result is obtained.
For the present invention by modes such as data acquisition, data processings, accurately equipment portrait is calculated in binding model, and will
The equipment portrait precisely drawn, the equipment signature analysis of various dimensions are supplied to user, solve current user and pass through manual type
The facility information treatment process that cannot achieve.
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 any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of flow chart of equipment portrait generation method of the embodiment of the present invention；
Fig. 2 is a kind of structural schematic diagram of equipment portrait generation system of the embodiment of the present invention；
Fig. 3 is data acquisition schematic diagram in the embodiment of the present invention；
Fig. 4 is data processing schematic diagram in the embodiment of the present invention；
Fig. 5 A- Fig. 5 F is the schematic diagram of each data model in the embodiment of the present invention；
Fig. 6 is data conversion schematic diagram in the embodiment of the present invention；
Fig. 7 is that data calculate schematic diagram in the embodiment of the present invention；
Fig. 8 is that data show schematic diagram in the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention provides a kind of equipment portrait generation method and system.
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 is as shown in Figure 1 a kind of flow chart of equipment portrait generation method of the embodiment of the present invention, method as shown in the figure includes:
Step S1 acquires equipment initial data；
The equipment initial data is converted to unstructured data by step S2；
Step S3 chooses corresponding unstructured data and data model according to the customer parameter of acquisition；
The unstructured data of selection is substituted into the data model and is calculated by step S4, obtains equipment portrait point
Analyse result.
In the present embodiment, equipment initial data includes: facility information, equipment operation, equipment guarantee, customer information and collection
Group's report.Collected data are structural data, the calculation of big data skill are not particularly suited for, by data conversion by structural data
Be converted to non-organization data.Customer parameter is to be inputted by user by system interface, based on data object, defines number
According to the relationship between data model.The data for participating in calculating and data model are chosen according to customer parameter, after being calculated, according to
Obtained calculated result assigns the corresponding attribute tags of equipment, thus obtains equipment portrait analysis result.
As an embodiment of the present invention, corresponding unstructured data and data are chosen according to the customer parameter of acquisition
Model includes: to choose the unstructured data for participating in calculating according to customer parameter；It is chosen according to customer parameter and participates in calculating
The data model that unstructured data matches, wherein the data model includes binding rate class model, liveness model, pre-
Alert class model, industry class model, Characteristic Analysis Model and prediction class model.
As an embodiment of the present invention, the unstructured data of selection is substituted into the data model and is counted
It calculates, obtaining equipment portrait analysis result includes: to substitute into the unstructured data of selection in the data model to calculate, and is obtained
To calculated result；According to the calculated result, device attribute label is determined, wherein the device attribute label is to form
State equipment portrait analysis result.
Wherein, it needs to calculate with user and enlivens situation by the POS terminal moon, to determine the need for the POS terminal of recycling trade company,
For reducing equipment investment spending, description selection participates in what the unstructured data calculated, data model and model calculated
Process.1) setting computing object is POS terminal, transaction amount, and POS terminal and moon liveness model are suggested one-one relationship；
2) setting computation model be moon liveness, enliven trade company by the moon, will wherein the moon liveness and transaction amount build one-one relationship, simultaneously
Month liveness mode input result is defined as the input parameter that the moon enlivens trade company, formation composite model again；3) model calculates: according to
The customer parameter of above step 1,2 is default, carries out data processing to eligible device category, is to all POS in this example
Equipment carries out data processing, and it is the active POS terminal and trade company's inventory of the moon that attribute tags are obtained after Data Analysis Services.
For the present invention by modes such as data acquisition, data processings, accurately equipment portrait is calculated in binding model, and will
Life period of an equipment information is presented with the various dimensions ways of presentation visualized, and the equipment precisely drawn is drawn a portrait, various dimensions
Equipment signature analysis is supplied to user, solves the facility information treatment process that current user cannot achieve by manual type.
It is illustrated in figure 2 a kind of structural schematic diagram of equipment portrait generation system of the embodiment of the present invention, system as shown in the figure
Include:
Data acquisition module 10, for acquiring equipment initial data；
Data conversion module 20, for the equipment initial data to be converted to unstructured data；
Module 30 is chosen, for choosing corresponding unstructured data and data model according to the customer parameter of acquisition；
Computing module 40 is calculated for substituting into the unstructured data of selection in the data model, is set
Standby portrait analysis result.
As an embodiment of the present invention, equipment initial data includes: facility information, equipment operation, equipment guarantee, visitor
Family information and group's report.
As an embodiment of the present invention, choosing module includes: data selecting unit, for being chosen according to customer parameter
Participate in the unstructured data calculated；Model selection unit, for choosing according to customer parameter and participating in the unstructured of calculating
The data model that data match, wherein the data model include binding rate class model, liveness model, early warning class model,
Industry class model, Characteristic Analysis Model and prediction class model.
As an embodiment of the present invention, computing module includes: result cells, unstructured for that will choose
Data are substituted into the data model and are calculated, and obtain calculated result；Attribute tags unit, for being tied according to the calculating
Fruit determines device attribute label, wherein the device attribute label is to form the equipment portrait analysis result.
The present invention is by integrating Various types of data source and channel, by the data model and analysis mining function of data warehouse
Can, it realizes a kind of for equipment various dimensions signature analysis, and covers equipment health condition, operational efficiency, merchant information, client
The life period of an equipment of benefit shows view, to fill up the blank of current device view portrait.
In a specific embodiment of the invention, pass through the equipment of each equipment related management platform of acquisition enterprises and channel
Each session information data, and model and calculate by global data warehouse and complete data analysis mining, it is provided eventually by enterprise
The displaying of source capsule platform progress equipment portrait.System specific structure can be as shown in table 1, wherein data collection layer function is suitable
In data acquisition module, data processing layer function is equivalent to data conversion module, chooses module and computing module.
Table 1
1. data collection layer.By be manually entered or physical technique means from different channels acquire device-dependent message, such as
Shown in Fig. 3.
101. facility information.It is adopted by enterprises equipment resource management platform, device end monitoring software, facility information
Collect hardware, uses the basic information of automatic or manual mode collecting device, including but not limited to resource code, equipment sequence
Number, device model, device class, equipment purchasing information, equipment material object state etc..
102. equipment operation.By enterprises equipment file management platform, by manually establishing device File Information side
The operation and maintenance information of system the automatic data collection mode collecting device, including but not limited to equipment in formula registration and equipment running process
Terminal number, device systems version number, equipment institutional affiliation, equipment site information, equipment physical positioning information, equipment running status
Deng.
103. equipment is reported for repairment.Platform is reported for repairment by enterprises equipment, and channel collection is reported for repairment by artificial initiating equipment and is set
Standby fault message, including but not limited to device manufacturer, device model, failure cause etc..
104. customer information.By enterprises customer information platform, collecting device pertinent customer information, including but it is unlimited
In trade company number, name of firm, affiliated industry, group, trade company information etc..
105. group's report.Unify report platform by enterprises, obtains and be based on equipment, client, trade company, group, row
The report summary information of the various dimensions such as industry, including but not limited to period section content device transaction stroke count, during which equipment transaction in section
The amount of money, during which information such as equipment active time in section.
2. data analysis layer.As shown in figure 4, being processed by the initial data after being acquired to data, from different perspectives
Modeling carries out analysis mining processing to million grades of data volume data.Wherein, data mart modeling by data warehouse to initial data into
Row processing specifically includes data conversion, data calculate (containing model management) and the processes such as data output.
201. model analysis.Big data analysis is carried out from scientific and technological management and the modeling of service management visual angle, and is directed to and sets one by one
Standby information assigns respective attributes label by the model calculation.Data collection layer acquisition is all kinds of raw informations of equipment, data
Model is to preset in systems, is calculated by substituting into raw information, obtains calculated result, assigns equipment category according to calculated result
Property.Wherein, attribute tags are also divided into science and technology label and service class label by visual angle for management, a kind of label, that is, embodiment device
A kind of characteristic value or characteristic attribute, such as device type label (dividing into smart machine or conventional equipment), input and output label
(dividing into profit or loss), liveness label (it is active or inactive to distinguish the temporally period), industry class label (distinguish meal
The industries attributes such as drink, service, medical treatment) etc..By completing to the more of equipment to the different types of attribute tags of device flag
Dimensional properties analysis can complete the more device categories of same alike result in subsequent data analysis mining process based on attribute tags, or
The horizontal and vertical statistical analysis of a kind of equipment different attribute improves data-handling efficiency, while passing through the attribute mark to equipment
Label are distinguished, and are also provided more intuitive equipment feature for user and are showed view.Data collection layer is collected into the original letter of various kinds of equipment
After breath, since data class is various, user can not directly observe connecting each other between data, or sum up distinct device
Between similarity relation, it is therefore desirable to each category feature of equipment is extracted by Modeling analysis.By establishing one in systems
Series data computation model, then equipment raw information is inserted in model one by one and is calculated, obtain the model calculation, and according to result
Condition assigns attribute tags, i.e. characteristic value to equipment.As shown in Fig. 5 A- Fig. 5 F, data modeling includes but is not limited to binding rate mould
Type, matching rate model, liveness model are purchased, active time interval model, input and output (profit) model, early warning class model,
Industry analysis model, structure of deal mode model etc..It specifically includes:
A. binding rate class model index: as shown in Figure 5A, equipment/equipment sum percentage of certain adjustment is met by calculating
Than, such as trigram bound device, stand-by equipment etc..
B. liveness model index: as shown in Figure 5 B, specified conditions are met by associate device time, trading situation calculating
Model index, such as (moon, season, year) active/inactive equipment, (moon, season, year) active/inactive trade company, low income quotient
Family, high yield trade company, merchant hierarchies (common, silver, environment, platinum, diamond) etc..
C. early warning class model index: as shown in Figure 5 C, calculating the case where equipment is beyond or below benchmark by trend analysis,
Such as new machine early warning, deactivate that early warning, trading volume be extremely incremental, trading volume is successively decreased extremely.
D. industry class model index: as shown in Fig. 5 D and Fig. 5 E, model is calculated by industry data lateral comparison and is referred to
Mark, for example, MCC industry turnover is distributed.
E. Characteristic Analysis Model index: as illustrated in figure 5f, the model index obtained by equipment particular attribute classified calculating,
Such as device class, structure of deal mode etc..
F. it predicts class model index: judge whether future reaches model index expected from certain by logical model, such as
Input and output (profit, loss) prediction opens up machine quantitative forecast etc..For opening up machine quantitative forecast, pass through 2 years POS cloth of analysis
Data are put, predict this year to a data of POS purchase quantity, as shown in table 2.The prediction that POS terminal is laid is divided into " displacement
Quantity ", " opening up machine quantity ".Calculating logic is as follows:
1) replace quantity: according in resource management system, POS terminal purchases the time, in conjunction with POS terminal use in 3 years
Period.It calculates annual January 1 and reaches the equipment sum for scrapping the time limit for the year.
2) it opens up the calculating of machine quantity: formulating " newly-increased POS quantity ", " newly-increased trade company's quantity ", " satisfaction scraps time limit POS quantity "
The parameter of three latitudes.Compare 2 years data, if growth rate is greater than 5%, is defined as increasing；If growth rate -5% with
Between 5%, then it is defined as maintaining an equal level；If growth rate is less than -5%, it is defined as successively decreasing.
Table 2
The current year estimated POS terminal quantity that need to launch=C (displacement quantity+open up machine quantity) -10%-----C (displacement quantity+
Open up machine quantity)+10% section.
Situation one: A2 increases compared with A1, B2 is compared with B1 growth, then C=A2* (1+ (A2-A1)/A1+10%)；
Situation two: A2 increases compared with A1, B2 maintains an equal level compared with B1, then C=A2* (1+ (A2-A1)/A1+5%)；
Situation three: A2 increases compared with A1, B2 successively decreases compared with B1, then C=A2* (1+ (A2-A1)/A1+0%)；
Situation four: A2 maintains an equal level compared with A1, B2 is compared with B1 growth, then C=A2* (1+ (A2-A1)/A1+5%)；
Situation five: A2 maintains an equal level compared with A1, B2 maintains an equal level compared with B1, then C=A2* (1+ (A2-A1)/A1+0%)；
Situation six: A2 maintains an equal level compared with A1, B2 successively decreases compared with B1, then C=A2* (1+ (A2-A1)/A1-5%)；
Situation seven: A2 is successively decreased compared with A1, B2 is compared with B1 growth, then C=A2* (1+ (A2-A1)/A1+0%)；
Situation eight: A2 successively decreases compared with A1, B2 maintains an equal level compared with B1, then C=A2* (1+ (A2-A1)/A1-5%)；
Situation nine: A2 is successively decreased compared with A1, B2 successively decreases compared with B1, then C=A2* (1+ (A2-A1)/A1-10%).
202. data warehouse.The characteristics of being suitable for big data analysis using data warehouse, is stored by unstructured data
To improve million grades of above data amount information oncurrent processing abilities, more device categories are provided, multi-model index, summarize dimension more
Powerful devices information data calculation processing service.Data warehouse is first converted to structural data by data conversion unstructured
It is stored after data, then carries out data calculating:
203. structural data.The data of data collection layer acquisition all originate from structured database, such as " HIVE,
The Common databases file system such as Impala, Oracle, MySQL ", is not particularly suited for big data operation, need to carry out data format
Conversion, as shown in Figure 6.
204. data conversion.Unstructured data, which is converted raw data into, by batch documents processing is stored into database
Warehouse.
205. unstructured data.Data analysis layer finally store unstructured data for following model data calculate,
Concurrent processing.
206. data calculate.Data calculating is specifically divided into data decimation, model is chosen, model calculates sub-step, such as Fig. 7 institute
Show.
207. data decimation.The data object chosen and participate in calculating is set according to customer parameter, as facility information, terminal are believed
Breath, merchant information, Transaction Information etc..Wherein, customer parameter refers to by system user through system interface mode with data pair
Based on (various information), parameterized approach defines the correlation between computation model, between data object and computation model
It can be one-to-many, many-to-one relationship.
208. models are chosen.It is chosen and is applicable in and the computation model of data object, i.e. data model according to customer parameter setting,
Such as liveness model, Early-warning Model, business models.Equally, system user can also be by system interface mode to calculate mould
Based on type, parameterized approach defines the correlation between data object, can be a pair between computation model and data object
It is more, many-to-one relationship.Meanwhile system provides the function of user model management also by interface manner, user passes through parametrization
Mutual call relation between the free Definition Model of mode, is consequently formed composite model.
209. models calculate.Calculation processes are combined into according to data object and computation model selected above, are handled
Final Calculation results are obtained, and analysis result data is output to data presentation layer.It is set for example, user needs to calculate POS
It is standby to enliven situation by the moon, to determine the need for the POS terminal of recycling trade company, to reduce equipment investment spending.
1) customer parameter is set, and setting computing object is POS terminal, transaction amount, by POS terminal and moon liveness model
It is recommended that one-one relationship；
2) setting data model be moon liveness, enliven trade company by the moon, will wherein the moon liveness and transaction amount build it is one-to-one
Relationship, while moon liveness mode input result is defined as the input parameter that the moon enlivens trade company again, forms composite model；
3) model calculates: it is default according to the customer parameter of above step 1,2, system automatically to eligible device category into
Row data processing is to carry out data processing to all POS terminals in this example, and it is the moon that attribute tags are obtained after Data Analysis Services
Active POS terminal and trade company's inventory.
3. data presentation layer.Pass through enterprise's resource management platform PC end equipment 301 or mobile end equipment 302APP application
Presentation device portrait view, as shown in Figure 8.
The present invention takes full advantage of system processing method and realizes data acquisition, data processing, and the advantage that data are shown will be set
Standby Life cycle information is presented to the user by digitlization, graphical, structuring various dimensions ways of presentation.Utilize data bins
The advantage of library big data storage and analysis, the equipment precisely drawn is drawn a portrait, the equipment signature analysis of various dimensions, and science
Equipment opens up machine prediction and is supplied to user, solves the facility information treatment process that current user cannot achieve by manual type.
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, the processor perform the steps of when executing the computer program
Acquire equipment initial data；
The equipment initial data is converted into unstructured data；
Corresponding unstructured data and data model are chosen according to the customer parameter of acquisition；
The unstructured data of selection is substituted into the data model and is calculated, equipment portrait analysis result is obtained.
The embodiment of the present invention also provides a kind of computer readable storage medium, is stored thereon with computer program, the meter
Calculation machine program performs the steps of when being executed by processor
Acquire equipment initial data；
The equipment initial data is converted into unstructured data；
Corresponding unstructured data and data model are chosen according to the customer parameter of acquisition；
The unstructured data of selection is substituted into the data model and is calculated, equipment portrait analysis result is obtained.
Based on generating the identical apply design of systems approach with a kind of above-mentioned equipment portrait generation method and a kind of equipment portrait,
The present invention also provides a kind of above-mentioned computer equipment and a kind of computer readable storage mediums.Due to a kind of computer equipment
And a kind of principle that computer readable storage medium solves the problems, such as is given birth to a kind of equipment portrait generation method and a kind of equipment portrait
It is similar at system, therefore a kind of computer equipment and a kind of implementation of computer readable storage medium may refer to a kind of equipment
The implementation of generation method of drawing a portrait and a kind of equipment portrait generation system, overlaps will not be repeated.
For the present invention by modes such as data acquisition, data processings, accurately equipment portrait is calculated in binding model, and will
Life period of an equipment information is presented with the various dimensions ways of presentation visualized, and the equipment precisely drawn is drawn a portrait, various dimensions
Equipment signature analysis is supplied to user, solves the facility information treatment process that current user cannot achieve by manual type.
Those of ordinary skill in the art will appreciate that implementing the method for the above embodiments can lead to
Program is crossed to instruct relevant hardware and complete, which can be stored in a computer readable storage medium, such as
ROM/RAM, magnetic disk, CD etc..
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)
- The generation method 1. a kind of equipment is drawn a portrait, which is characterized in that the described method includes:Acquire equipment initial data；The equipment initial data is converted into unstructured data；Corresponding unstructured data and data model are chosen according to the customer parameter of acquisition；The unstructured data of selection is substituted into the data model and is calculated, equipment portrait analysis result is obtained.
- 2. the method according to claim 1, wherein the equipment initial data includes: facility information, equipment fortune Battalion, equipment guarantee, customer information and group's report.
- 3. the method according to claim 1, wherein described choose corresponding non-knot according to the customer parameter of acquisition Structure data and data model include:The unstructured data for participating in calculating is chosen according to customer parameter；The data model to match with the unstructured data for participating in calculating is chosen according to customer parameter, wherein the data mould Type includes binding rate class model, liveness model, early warning class model, industry class model, Characteristic Analysis Model and prediction class model.
- 4. the method according to claim 1, wherein the unstructured data by selection substitutes into the data It is calculated in model, obtaining equipment portrait analysis result includes:The unstructured data of selection is substituted into the data model and is calculated, calculated result is obtained；According to the calculated result, device attribute label is determined, wherein the device attribute label is drawn to form the equipment As analysis result.
- The generation system 5. a kind of equipment is drawn a portrait, which is characterized in that the system comprises:Data acquisition module, for acquiring equipment initial data；Data conversion module, for the equipment initial data to be converted to unstructured data；Module is chosen, for choosing corresponding unstructured data and data model according to the customer parameter of acquisition；Computing module is calculated for substituting into the unstructured data of selection in the data model, obtains equipment portrait Analyze result.
- 6. system according to claim 5, which is characterized in that the equipment initial data includes: facility information, equipment fortune Battalion, equipment guarantee, customer information and group's report.
- 7. system according to claim 5, which is characterized in that the selection module includes:Data selecting unit, for choosing the unstructured data for participating in calculating according to customer parameter；Model selection unit, for choosing the data mould to match with the unstructured data for participating in calculating according to customer parameter Type, wherein the data model includes binding rate class model, liveness model, early warning class model, industry class model, feature point Analyse model and prediction class model.
- 8. system according to claim 5, which is characterized in that the computing module includes:Result cells are calculated for substituting into the unstructured data of selection in the data model, are calculated As a result；Attribute tags unit, for determining device attribute label, wherein the device attribute label according to the calculated result To form the equipment portrait analysis result.
- 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 programAcquire equipment initial data；The equipment initial data is converted into unstructured data；Corresponding unstructured data and data model are chosen according to the customer parameter of acquisition；The unstructured data of selection is substituted into the data model and is calculated, equipment portrait analysis result is obtained.
- 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 processorAcquire equipment initial data；The equipment initial data is converted into unstructured data；Corresponding unstructured data and data model are chosen according to the customer parameter of acquisition；The unstructured data of selection is substituted into the data model and is calculated, equipment portrait analysis result is obtained.
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