CN109697251A - Cloud computing method and cloud service platform based on photovoltaic power station - Google Patents
Cloud computing method and cloud service platform based on photovoltaic power station Download PDFInfo
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Abstract
The embodiment of the present application provides a kind of cloud computing method and cloud service platform based on photovoltaic power station, which includes: acquisition multi-source heterogeneous data relevant to photovoltaic power station；Multi-source heterogeneous data are pre-processed；It will be stored by pretreated multi-source heterogeneous data；The multi-source heterogeneous data of storage are calculated and analyzed, result data is obtained；Result data is visualized.In the embodiment of the present application, the operating status of each photovoltaic power station is can be monitored in real time in user, and can provide the functions such as power prediction, abnormity early warning, intelligent diagnostics, remote support and O&M strategy according to result data for user.The monitoring and management to multiple or even a large amount of photovoltaic power station are realized, cost of labor has been saved, has improved the efficiency of management.
Description
Technical field
This application involves technical field of photovoltaic power generation, specifically, this application involves one kind to be based on photovoltaic power station
Cloud computing method and cloud service platform.
Background technique
Photovoltaic has intermittent and randomness, with the number of China's photovoltaic power station as a kind of uncontrollable energy
Amount is continuously increased, and large-scale distributed photovoltaic plant is connected to the grid, and causes adverse effect to Electric Power Network Planning and stable operation.
Also, photovoltaic power station distribution is wide, monomer capacity is small, along with multiplicity is presented in the application scenarios of photovoltaic power station
Change trend brings huge challenge to the management and O&M of photovoltaic power station.
Currently, the monitoring system of existing photovoltaic power station may only be for single or a small amount of distributed photovoltaic electricity
Station is monitored, and existing monitoring system is limited to the processing capacity of data, insufficient to the excavation of data, causes a large amount of numbers
According to waste, and influence the assessment that runs to photovoltaic power station.In addition, monitoring system is only a small amount of distributed photovoltaic
Power station provides service, so that lacking information linkage between photovoltaic power station, can not grasp all distributions in monitoring range
The operation information of photovoltaic plant.
Summary of the invention
The application is directed to the shortcomings that existing way, proposes a kind of cloud computing method based on photovoltaic power station and cloud clothes
Be engaged in platform, to solve it is of the existing technology may only be monitored for single or a small amount of photovoltaic power station, number
According to processing capacity it is limited, the technical issues of operation information of all photovoltaic power stations in monitoring range can not be grasped.
First aspect, the embodiment of the present application provide a kind of cloud computing method based on photovoltaic power station, the cloud
Calculation method includes:
Obtain multi-source heterogeneous data relevant to photovoltaic power station；
Multi-source heterogeneous data are pre-processed；
It will be stored by pretreated multi-source heterogeneous data；
The multi-source heterogeneous data of storage are calculated and analyzed, result data is obtained；
Result data is visualized.
Optionally, multi-source heterogeneous data relevant to photovoltaic power station are obtained, comprising:
By predefined database interface, data collection cycle, frequency and object are called, obtained and distributed photovoltaic electricity
It stands relevant device data, common data and business datum.
Optionally, multi-source heterogeneous data are pre-processed, comprising:
Processing is packaged to multi-source heterogeneous data using labelling method, forms data encapsulation package；
According to predefined cleaning rule, data encapsulation package is started the cleaning processing；
Specification processing is carried out to the data encapsulation package Jing Guo cleaning treatment；
Data conversion process is carried out to the data encapsulation package by specification processing；
Quality evaluation is carried out to the data encapsulation package Jing Guo data conversion process.
Optionally, it will be stored by pretreated multi-source heterogeneous data, comprising:
Using distributed file system, by establishing corresponding association index, data management and calling are carried out to metadata
Service.
Optionally, the metadata of storage is calculated and is analyzed, comprising:
For the multi-source heterogeneous data of storage, it is based on Intuitionistic Fuzzy Reasoning and analytic hierarchy process (AHP), constructs relation analysis model；
According to relation analysis model, the key factor of photovoltaic power station is extracted；
Algorithm based on a specified, to the multi-source heterogeneous data of the key factor comprising photovoltaic power station carry out calculate with
Analysis.
Optionally, result data is visualized, comprising:
Using result data, establish data model, restore photovoltaic power station installations and facilities and environmental factor three
Tie up scene；
Using result data, photovoltaic power station proprietary model race library is constructed, the operation of photovoltaic power station is restored
Scene and application scenarios；
Using result data, it is based on chart intelligent interactive method, restore photovoltaic power station can flow scheduling balance, fortune
Dimension service and data analyze scene.
The second aspect, the embodiment of the present application provide a kind of cloud service platform based on photovoltaic power station, the cloud
Service platform includes: data i.e. service layer and software i.e. service layer；Data, that is, service layer include: acquiring unit, pretreatment unit,
Storage unit and calculating and analytical unit；Software, that is, service layer includes: visual presentation unit；
Acquiring unit, for obtaining multi-source heterogeneous data relevant to photovoltaic power station；
Pretreatment unit, for being pre-processed to multi-source heterogeneous data；
Storage unit is stored for that will pass through pretreated multi-source heterogeneous data；
Calculating and analytical unit obtain result data for the multi-source heterogeneous data of storage to be calculated and analyzed；
Unit is visualized, for visualizing result data.
Optionally, cloud service platform further include: infrastructure, that is, service layer；
Infrastructure, that is, service layer is for providing hardware device, transmission network and operating system.
Optionally, cloud service platform further include: platform, that is, service layer；
Platform, that is, service layer is for providing platform resource deployment and management.
The third aspect, the embodiment of the present application provide a kind of computer readable storage medium, are stored thereon with computer journey
Sequence realizes the cloud computing method based on photovoltaic power station provided such as first aspect when the program is executed by processor.
Technical solution bring advantageous effects provided by the embodiments of the present application include:
By the data relationship between entire each photovoltaic power station, a large amount of multi-source heterogeneous data that will acquire into
Row is pre-processed and is stored, and provides data basis with application to the analysis of data for cloud service platform, and will be by calculating and dividing
The result data obtained is analysed, is visualized in a manner of modeling to user, so that each distribution can be monitored in real time in user
The operating status of photovoltaic plant, and can according to result data for user provide power prediction, abnormity early warning, intelligent diagnostics,
The functions such as remote support and O&M strategy.The monitoring and management to multiple or even a large amount of photovoltaic power station are realized, is saved
About cost of labor, improves the efficiency of management.
The additional aspect of the application and advantage will be set forth in part in the description, these will become from the following description
It obtains obviously, or recognized by the practice of the application.
Detailed description of the invention
The application is above-mentioned and/or additional aspect and advantage will become from the following description of the accompanying drawings of embodiments
Obviously and it is readily appreciated that, in which:
Fig. 1 is a kind of process signal of cloud computing method based on photovoltaic power station provided by the embodiments of the present application
Figure；
Fig. 2 is that a kind of process for carrying out pretreated method to multi-source heterogeneous data provided by the embodiments of the present application is illustrated
Figure；
Fig. 3 is a kind of method that the multi-source heterogeneous data to storage are calculated and analyzed provided by the embodiments of the present application
Flow chart；
Fig. 4 is a kind of process signal of method for visualizing result data provided by the embodiments of the present application
Figure；
Fig. 5 is a kind of structural representation of the cloud service platform based on photovoltaic power station provided by the embodiments of the present application
Figure.
Specific embodiment
The application is described below in detail, the example of embodiments herein is shown in the accompanying drawings, wherein identical from beginning to end
Or similar label indicates same or similar component or component with the same or similar functions.In addition, if known technology
Detailed description the application shown is characterized in unnecessary, then omit it.Below with reference to attached drawing description
Embodiment is exemplary, and is only used for explaining the application, and cannot be construed to the limitation to the application.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in the application fields.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here
To explain.
First to this application involves several nouns be introduced and explain:
Photovoltaic power station: refer to that installation scale is lesser, is arranged near user, adopts using distributing resource
With photovoltaic module, solar energy is converted directly into the electricity generation system of electric energy.
Multi-source heterogeneous data: data source difference, and the discrepant a variety of data of storage organization are referred to.
Present inventor carries out the study found that existing monitoring system can only acquire single or a small amount of distributed light
The data information of overhead utility, the data between each photovoltaic power station lack information linkage, can not grasp in monitoring range
The operation information of all photovoltaic power stations.With the continuous development of photovoltaic power station, existing distributed photovoltaic electricity
Monitoring system of standing is no longer satisfied the demand analyzed the photovoltaic data of magnanimity.
Cloud computing method and cloud service platform provided by the present application based on photovoltaic power station, it is intended to solve existing
Technological deficiency existing for monitoring system.
How the technical solution of the application and the technical solution of the application are solved with specifically embodiment below above-mentioned
Technical problem is described in detail.
The embodiment of the present application provides a kind of cloud computing method based on photovoltaic power station, and Fig. 1 is the application implementation
The flow diagram for a kind of cloud computing method based on photovoltaic power station that example provides, as shown in Figure 1, the cloud computing method
Include:
S101 obtains multi-source heterogeneous data relevant to photovoltaic power station.
S102 pre-processes multi-source heterogeneous data.
S103 will be stored by pretreated multi-source heterogeneous data.
S104 is calculated and is analyzed to the multi-source heterogeneous data of storage, and result data is obtained.
S105 visualizes result data.
It should be noted that a large amount of photovoltaic plant in the process of running, generates a large amount of data, i.e., in above-mentioned S101
For multi-source heterogeneous data, a large amount of data source is in different photovoltaic module and photovoltaic apparatus, and data structure is complicated various, this
A little data can be the distributed photovoltaic for including real-time traffic information, management information, O&M information, geography information and weather information
Data inside and out power station.Data inside and out photovoltaic power station can form bivariate table, relational data
The data of the structurings such as library also may be constructed the non-structural numbers such as job documentation, text, image, audio, video and all kinds of reports
According to.All structural datas and unstructured data constitute the data base of photovoltaic power station big data analysis and application
Plinth and data source.
In above-mentioned S102, comprising a part of invalid, redundancy or duplicate data in a large amount of data, data are divided
Analysis is adversely affected with application, is pre-processed to the multi-source heterogeneous data of acquisition, and the speed of data analysis and application is improved,
Reduce cloud service platform to the processing pressure of data.
In above-mentioned S103, multi-source heterogeneous data will deposit after pretreatment by pretreated multi-source heterogeneous data
Storage, to cloud service platform need to carry out data analysis in application, relevant data can be called in time.
In above-mentioned S104, call the multi-source heterogeneous data of storage, using neural network scheduling algorithm to multi-source heterogeneous data into
Row calculates, and is accurately analyzed, and the result data that user needs is obtained, for describing the whole fortune of photovoltaic power station
Row state realizes the real-time monitoring to photovoltaic power station.
In above-mentioned S105, in the way of modeling, by the result data of acquisition it is comprehensive show user, realize logarithm
According to it is profound excavate, analyze between each photovoltaic power station and with the connection around between geographical environment, weather environment
System, provides intelligent O&M service for user.
Cloud computing method provided by the embodiments of the present application based on photovoltaic power station passes through entire each distributed light
Data relationship between overhead utility, a large amount of multi-source heterogeneous data that will acquire are pre-processed and are stored, and are cloud service platform
Analysis and application to data provide data basis, and by the result data by calculating and analysis obtains, with the side of modeling
Formula is visualized to user, so that the operating status of each photovoltaic power station can be monitored in real time in user, and can
The functions such as power prediction, abnormity early warning, intelligent diagnostics, remote support and O&M strategy are provided according to result data for user.It is real
The monitoring and management to multiple or even a large amount of photovoltaic power station are showed, have saved cost of labor, improved the efficiency of management.
The cloud computing method based on photovoltaic power station provided based on the above embodiment, the embodiment of the present application combine attached
The cloud computing method is further described in detail in figure.
The embodiment of the present application provides a kind of method for obtaining multi-source heterogeneous data relevant to photovoltaic power station, should
Method includes: by predefined database interface, data collection cycle, calls frequency and object, acquisition and distributed photovoltaic
The relevant device data in power station, common data and business datum.
It should be noted that a large amount of data that photovoltaic power station generates in the process of running, cloud service platform can
To call the data handled by different database interfaces according to scheduled collection period.Device data can be with
For model, the rated power etc. of photovoltaic power station equipment.Common data can be the geography around photovoltaic power station
Information, weather information etc..Business datum can be the running electric current of photovoltaic plant, voltage, power etc..In the embodiment of the present application
In, the data that can be generated in the operation of comprehensive acquisition photovoltaic power station grasp point whole in monitoring range comprehensively
The operating status of cloth photovoltaic plant.
The embodiment of the present application provides one kind and carries out pretreated method to multi-source heterogeneous data, and Fig. 2 is the application implementation
A kind of flow diagram that multi-source heterogeneous data are carried out with pretreated method that example provides, as shown in Fig. 2, this method comprises:
S201 is packaged processing to multi-source heterogeneous data using labelling method, forms data encapsulation package.
S202 starts the cleaning processing data encapsulation package according to predefined cleaning rule.
S203 carries out specification processing to the data encapsulation package Jing Guo cleaning treatment.
S204 carries out data conversion process to the data encapsulation package by specification processing.
S205 carries out quality evaluation to the data encapsulation package Jing Guo data conversion process.
It should be noted that being encapsulated using multi-source heterogeneous data preparation of the labelling method to acquisition at data in above-mentioned S201
Packet, using the label of unified standard come attributes such as the source of the multi-source heterogeneous data of unique identification, type structures, formation can be identified
The data encapsulation package for meeting predetermined cleaning rule.
In above-mentioned S202, according to predefined cleaning rule, the data missing value in encapsulated data packet is handled, eliminates data
The noise in data in encapsulation package identifies and rejects the invalid, redundancy in data encapsulation package or duplicate data, realizes data
The control and abnormality processing of quality, it is ensured that it is clear to reach data for validity, consistency and the integrality of the data in encapsulated data packet
The purpose washed.
It is right by hough transformations methods such as the aggregation of data side, dimension specification, data compression and numerical value specifications in above-mentioned S203
Data in encapsulated data packet through over cleaning carry out specification processing, reduce the scale of the data in encapsulated data packet, improve number
According to excavation speed.
In above-mentioned S204, operated by data generaliza-tion, data normalization and latent structure etc., to the encapsulation of data of low level
Data in packet carry out data transformation, obtain the content-aggregated metadata with statistical significance, be data analysis, using and it is pre-
It surveys and the data of standardization is provided.
In above-mentioned S205, for the data of standardization, to the integrality of data, normalization, consistency, accuracy, unique
Property and six dimensions of relevance evaluate the quality of data, obtain the data basis of high quality.
The embodiment of the present application provides a kind of method that will be stored by pretreated multi-source heterogeneous data, this method
It include:, by establishing corresponding association index, to carry out data management and call to take to metadata using distributed file system
Business.
It should be noted that using the memory technology of the high efficiency, low costs such as distributed file system, it is corresponding by establishing
Association index carries out data management and calls to service to metadata.In addition to distributed file system can also using data warehouse,
The memory technologies such as distributed data base, relevant database.The data of the high quality of storage are called in time for cloud service platform.
The embodiment of the present application provides a kind of method that the multi-source heterogeneous data to storage are calculated and analyzed, and Fig. 3 is
The flow chart for the method that a kind of multi-source heterogeneous data to storage provided by the embodiments of the present application are calculated and analyzed, such as Fig. 3
It is shown, this method comprises:
S301 is based on Intuitionistic Fuzzy Reasoning and analytic hierarchy process (AHP) for the multi-source heterogeneous data of storage, constructs association analysis
Model.
S302 extracts the key factor of photovoltaic power station according to relation analysis model.
S303, algorithm based on a specified carry out the multi-source heterogeneous data of the key factor comprising photovoltaic power station
It calculates and analyzes.
It should be noted that in above-mentioned S301, for the multi-source heterogeneous data of storage, according to aggregated metadata, based on straight
Feel fuzzy reasoning and analytic hierarchy process (AHP), the relation analysis model of large-scale multi-source heterogeneous data can be constructed.
In above-mentioned S302, according to the relation analysis model of building, used in conjunction with photovoltaic power station operating condition and data
On the way, the key factor in encapsulated data packet comprising photovoltaic power station is extracted.
In above-mentioned S303, based on being associated with recessive support vector machines, convolutional neural networks scheduling algorithm, fusion distributed computing,
The novel computing technique of real-time stream calculation and parallel computation etc. studies the comprehensive analysis digging technology of multi-source heterogeneous data, realization pair
The Accurate Analysis of multi-source heterogeneous data in encapsulated data packet, finally obtains accurate result data.
The embodiment of the present application provides a kind of method for visualizing result data, and Fig. 4 is the application implementation
A kind of flow diagram for method for visualizing result data that example provides, as shown in figure 4, this method comprises:
S401 establishes data model using result data, restore photovoltaic power station installations and facilities and environment because
The three-dimensional scenic of element.
S402 constructs photovoltaic power station proprietary model race library, restores photovoltaic power station using result data
Run scene and application scenarios.
S403 is based on chart intelligent interactive method using result data, and the scheduling that can flow for restoring photovoltaic power station is put down
Weighing apparatus, O&M service and data analyze scene.
It should be noted that in above-mentioned S401, the big data fusion and exhibition of the photovoltaic power station based on virtual reality
Existing technology precisely restores setting for real photovoltaic power station using the Building Information Model technology for following data exchange standard
The three-dimensional scenics such as standby facility, environmental factor realize the full dynamic of photovoltaic power station, comprehensive, full angle monitoring, for intelligence
O&M provides immersion and intuitively instructs.
In above-mentioned S402, the proprietary model race library of photovoltaic power station is constructed, by flexibly combining configuration, if reduction
Do the O&M and application scenarios of common actual distribution formula photovoltaic plant.
In above-mentioned S403, based on the chart intelligent interaction algorithm of a new generation, realization can flow scheduling balance, O&M service etc. three
Dimension analysis, and data processing and algorithm parameter can be changed in real time, realize the observation to data and qualitative and quantitative analysis.
The embodiment of the present application provides the cloud computing method based on photovoltaic power station, by carrying out to multi-source heterogeneous data
Profound level is excavated, and data pattern and feature are sought, and analyzes the connection between things, can provide intelligent O&M service, is realized abnormal
Early warning, intelligent diagnostics, remote support and O&M strategy such as accurately push at functions, and the operation development of prediction distribution formula photovoltaic plant
Existing passive type O&M Mode change is prevention type active O&M mode by trend.Visualization exhibition can also be provided for user
Show function, the operating status of photovoltaic power station is more accurately monitored convenient for user.
Based on inventive concept is same as, it is flat that the embodiment of the present application provides a kind of cloud service based on photovoltaic power station
Platform, Fig. 5 are a kind of structural schematic diagram of the cloud service platform based on photovoltaic power station provided by the embodiments of the present application, are such as schemed
Shown in 5, which includes: data i.e. service layer 501 and software i.e. service layer 502.Data, that is, service layer includes: to obtain
Unit 5011, pretreatment unit 5012, storage unit 5013 and calculating and analytical unit 5014.Software, that is, service layer 502 includes:
Visualize unit 5021.
Acquiring unit 5011, for obtaining multi-source heterogeneous data relevant to photovoltaic power station.
Pretreatment unit 5012, for being pre-processed to multi-source heterogeneous data.
Storage unit 5013 is stored for that will pass through pretreated multi-source heterogeneous data.
It calculates and obtains number of results for the multi-source heterogeneous data of storage to be calculated and analyzed with analytical unit 5014
According to.
Unit 5021 is visualized, for visualizing result data.
Above method embodiment can be performed in cloud service platform provided by the embodiments of the present application based on photovoltaic power station
In S101-S105, S201-S205, S301-S303, S401-S403, what realization principle and any of the above-described embodiment provided
The principle of cloud computing method based on photovoltaic power station is similar, and details are not described herein.
As shown in figure 5, the cloud service platform based on photovoltaic power station provided based on the above embodiment, the cloud service
Platform further include: infrastructure, that is, service layer 503.
Infrastructure, that is, service layer 503 is for providing hardware device, transmission network and operating system.
As shown in figure 5, the cloud service platform based on photovoltaic power station provided based on the above embodiment, the cloud service
Platform further include: platform, that is, service layer 504.
Platform, that is, service layer 504 is for providing platform resource deployment and management.
Cloud service platform provided by the embodiments of the present application based on photovoltaic power station can provide trans-sectoral for user
Main, cross-system professional big data analysis platform merges a variety of communication promise breakings and interface, can not only acquire each operation node
Data, additionally it is possible to form system logic relationship with other nodes in power grid, related data in integration system is various distributions
Photovoltaic plant supervising platform provides data service, realizes the shared O&M service of trans-sectoral master, cross-system.
Based on the same inventive concept, the embodiment of the present application provides a kind of computer readable storage medium, is stored thereon with
Computer program, the program realize the cloud based on photovoltaic power station that any of the above-described embodiment provides when being executed by processor
Calculation method.
It should be understood that although each step in the flow chart of attached drawing is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, can execute in the other order.Moreover, at least one in the flow chart of attached drawing
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, execution sequence, which is also not necessarily, successively to be carried out, but can be with other
At least part of the sub-step or stage of step or other steps executes in turn or alternately.
The above is only some embodiments of the application, it is noted that for the ordinary skill people of the art
For member, under the premise of not departing from the application principle, several improvements and modifications can also be made, these improvements and modifications are also answered
It is considered as the protection scope of the application.
Claims (10)
1. a kind of cloud computing method based on photovoltaic power station characterized by comprising
Obtain multi-source heterogeneous data relevant to the photovoltaic power station；
The multi-source heterogeneous data are pre-processed；
It will be stored by the pretreated multi-source heterogeneous data；
The multi-source heterogeneous data of storage are calculated and analyzed, result data is obtained；
The result data is visualized.
2. cloud computing method according to claim 1, which is characterized in that the acquisition and the photovoltaic power station phase
The multi-source heterogeneous data closed, comprising:
By predefined database interface, data collection cycle, frequency and object are called, obtained and the distributed photovoltaic electricity
It stands relevant device data, common data and business datum.
3. cloud computing method according to claim 1, which is characterized in that described to be located in advance to the multi-source heterogeneous data
Reason, comprising:
Processing is packaged to the multi-source heterogeneous data using labelling method, forms data encapsulation package；
According to predefined cleaning rule, the data encapsulation package is started the cleaning processing；
Specification processing is carried out to the data encapsulation package Jing Guo cleaning treatment；
Data conversion process is carried out to the data encapsulation package by specification processing；
Quality evaluation is carried out to the data encapsulation package Jing Guo data conversion process.
4. cloud computing method according to claim 1, which is characterized in that it is described will pass through it is pretreated described multi-source heterogeneous
Data are stored, comprising:
Using distributed file system, by establishing corresponding association index, data management and calling are carried out to the metadata
Service.
5. cloud computing method according to claim 1, which is characterized in that the metadata of described pair of storage calculates
With analysis, comprising:
For the multi-source heterogeneous data of storage, it is based on Intuitionistic Fuzzy Reasoning and analytic hierarchy process (AHP), constructs relation analysis model；
According to the relation analysis model, the key factor of the photovoltaic power station is extracted；
Algorithm based on a specified, to the multi-source heterogeneous data of the key factor comprising the photovoltaic power station carry out calculate with
Analysis.
6. cloud computing method according to claim 1, which is characterized in that described that the result data is carried out visualization exhibition
Show, comprising:
Using the result data, data model is established, restores the installations and facilities and environmental factor of the photovoltaic power station
Three-dimensional scenic；
Using the result data, photovoltaic power station proprietary model race library is constructed, the photovoltaic power station is restored
Run scene and application scenarios；
Using the result data, it is based on chart intelligent interactive method, the scheduling that can flow for restoring the photovoltaic power station is put down
Weighing apparatus, O&M service and data analyze scene.
7. a kind of cloud service platform based on photovoltaic power station characterized by comprising data, that is, service layer and software are
Service layer；Data, that is, the service layer includes: acquiring unit, pretreatment unit, storage unit and calculating and analytical unit；It is described
Software, that is, service layer includes: visual presentation unit；
The acquiring unit, for obtaining multi-source heterogeneous data relevant to the photovoltaic power station；
The pretreatment unit, for being pre-processed to the multi-source heterogeneous data；
The storage unit is stored for that will pass through the pretreated multi-source heterogeneous data；
The calculating and analytical unit obtain number of results for the multi-source heterogeneous data of storage to be calculated and analyzed
According to；
The visual presentation unit, for visualizing the result data.
8. cloud service platform according to claim 7, which is characterized in that further include: infrastructure, that is, service layer；
Infrastructure, that is, the service layer is for providing hardware device, transmission network and operating system.
9. cloud service platform according to claim 8, which is characterized in that further include: platform, that is, service layer；
Platform, that is, the service layer is for providing platform resource deployment and management.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
Cloud computing method described in any one of claims 1-6 is realized when execution.
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