CN108108445A - A kind of data intelligence processing method and system - Google Patents
A kind of data intelligence processing method and system Download PDFInfo
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- CN108108445A CN108108445A CN201711430076.8A CN201711430076A CN108108445A CN 108108445 A CN108108445 A CN 108108445A CN 201711430076 A CN201711430076 A CN 201711430076A CN 108108445 A CN108108445 A CN 108108445A
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Abstract
A kind of method of data intelligence processing, comprises the following steps：Acquisition, the operation data of storage product running equipment, and carry out analysis classification；Operation data after being sorted out according to analysis, search and provide product solution；According to the product solution, modify to product or show the content of solution.The present invention also provides a kind of data intelligence processing systems, it need not devote a tremendous amount of time and with manpower analysis be gone to solve the problems, such as, problem analysis in the slave mass data of system intelligence, the ability of screening solution is constantly improved with reference to artificial intelligence system and chooses optimal solution, finally solves the problems, such as, forms the system solved the problems, such as, once after repairing failure, in time related personnel is notified to be solved, so as to which system be allowed constantly to improve screening scheme, promote the level solved the problems, such as.
Description
Technical field
The invention belongs to big data fields, and in particular to data collecting field is that a kind of data acquisition platform is intelligentized
Method.
Background technology
There are many data acquisition platforms currently on the market, the client crash data, server mainly to product are wrong
The data acquisition of daily record, operation data and other related fields by mistake.Acquisition platform currently on the market is also stuck in and simply adopts
Collection, analysis, in statistical model, not yet into intellectualization times, these platforms have simply carried out data simple classification, statistics and
Analysis, to solving the above problems or needing to spend substantial amounts of manpower and time cost, efficiency also than relatively low, and have when
It waits, pinpoints the problems when something goes wrong to program from program a period of time for also needing to grow very much.In many cases, when there are data
, it is necessary to which application developer finds problem during collapse, problem is then checked and problem of settling a dispute by the parties concerned themselves, this mode solved the problems, such as
Time and effort consuming so that some problem repairing efficiencies can be very long, like this, when the user group of product is constantly lost in, opens
Hair personnel can not analyze reason for that in time, can only look at the chart of a pile statistics, obtain retention ratio, do not stop in user
In face of the reality of mistake, it appears be at a loss, do not analyze data accurately, the reason for clear and definite can not be obtained.Furthermore developer
The data of analysis product are taken a significant amount of time, encounters problems and does not know that reason can only by virtue of experience be guessed, are easy to get mistake
As a result, negative influence is caused to the unfavorable situation for improving customer loss.On the other hand, due to crash data, wrong data, operation
Data and other relevant gathered datas are quantitatively very huge, can not be by these data during developer's manual analysis
It is effectively combined, forms the analysis system of an entirety, so as to be carried out according to these analyses to product targeted
Reparation or improvement so that user experience can not quickly improve.In today of intellectualized technology fast development, intelligent data point
Analysing platform becomes the inexorable trend of data acquisition platform development.
The content of the invention
In order to solve the shortcomings of the prior art, it is an object of the invention to provide a kind of data intelligence processing method and
System, can intellectual analysis problem, screen problem, the intelligent data acquisition platform solved the problems, such as, by crash data, mistake
Data, operation data and relevant data are effectively combined and are analyzed by mistake, intelligentized problem analysis, screening scheme,
It finally solves the problems, such as, reaching, which reduces manpower, goes the frequency solved the problems, such as, improves work efficiency, reduces cost；It is important to some
Event provides rationally just analysis report, and end user only needs
Check that the report provided is known that the operating condition of product.
In order to achieve the above object, a kind of data intelligence processing system provided by the invention, including collecting unit, monitoring
Analytic unit, searching unit and reparation unit, wherein,
The collecting unit, the acquisition operation data from product running equipment；
The monitoring analysis unit carries out analysis classification to the operation data；
The searching unit, the operation data after being sorted out according to analysis, searches corresponding product solution；
The reparation unit modifies to product according to the content of the product solution or by product solution
Content is shown, and is back to searching unit by result is repaired.
Further, the searching unit, further comprises, intelligence learning analysis module, scheme solve library module and
Module is artificially injected, wherein,
The intelligence learning analysis module, for analyzing the data of the monitoring analysis unit offer using intelligence computation method,
And analysis result is sent to reparation unit；
The scheme solves library module, and the data for being provided according to the monitoring analysis unit are retrieved and by retrieval result
It is sent to searching unit；
It is described to be artificially injected module, for the operation data display to be come out, and will be in solution by artificial mode
Hold input to searching unit.
Further, the reparation unit in repairing failure, receives the next solution that the searching unit is sent
Scheme, until repairing successfully.
Further, the scheme solves library module, and when not finding result or the scheme solves storehouse mould
When the solution retrieved in block still cannot repair successfully after all traveling through, by the operation data forwarding of reception to institute
It states and is artificially injected module.
In order to achieve the above object, the present invention also provides a kind of method of data intelligence processing, comprise the following steps：
1) gather, store the operation data of product running equipment, and carry out analysis classification；
2) the operation data after being sorted out according to analysis, search and provide product solution；
3) according to the product solution, modify to product or show the content of solution.
Further, the operation data, crash info, behavioral data, facility information, operating condition, user preferences are set
It puts and user collects.
Further, the step 2）Further comprise,
From scheme solve storehouse in retrieve similar problem, according to search key retrieve corresponding product solution or
By the analysis of intelligence learning analytic unit, obtain corresponding product solution or
Corresponding product solution is obtained by the method being manually entered, and the product solution is injected into intelligence learning
Analytic unit and/or scheme are solved in storehouse.
The features of the present invention and advantage include：
1st, it need not devote a tremendous amount of time and with manpower analysis be gone to solve the problems, such as, problem analysis in the slave mass data of system intelligence,
The ability of screening solution is constantly improved with reference to artificial intelligence system and chooses optimal solution, it is final to solve to ask
Topic；
2nd, crash data, wrong data, operation data and other relevant gathered datas are effectively combined, with calculating
Machine carries out intellectual analysis, forms the analysis system of an entirety, and combines other factors, further to the reparation and improvement of product
It proposes specific aim opinion, promotes the quick user experience for improving product.When collecting product the problem of, pass through the present invention and provide
The problem of solution typing entrance, constantly carry out the typing of manual solution and FAQs solution, typical case
The typing of issue-resolution and some general solutions, so as to which the system of solution can be formed, once it repairs
After failure, in time related personnel is notified to be solved, so as to which system be allowed constantly to improve screening scheme, promotion solves the problems, such as
Level.
Description of the drawings
Attached drawing is used for providing a further understanding of the present invention, and a part for constitution instruction, and with the present invention's
Embodiment for explaining the present invention, is not construed as limiting the invention together.In the accompanying drawings：
Fig. 1 is the functional block diagram of data intelligence processing system provided by the invention；
Fig. 2 is the Organization Chart of data intelligence processing system provided by the invention；
Fig. 3 is the functional block diagram of searching unit provided by the invention；
Fig. 4 is the flow chart of data intelligence processing method provided by the invention.
Specific embodiment
The preferred embodiment of the present invention is illustrated below in conjunction with attached drawing, it should be understood that preferred reality described herein
It applies example to be merely to illustrate and explain the present invention, be not intended to limit the present invention.
Fig. 1 is the functional block diagram of data intelligence processing system provided by the invention, and Fig. 2 is intelligent data provided by the invention
The Organization Chart of processing system, as illustrated in fig. 1 and 2, data intelligence processing system provided by the invention, including, collecting unit 101,
Monitoring analysis unit 102, searching unit 103 and reparation unit 104, wherein,
Collecting unit 101, main function be from can in the equipment of gathered data or platform gather operation data, it is however generally that,
The source of gathered data can be public network, for example, in the gaming platforms such as mobile terminal device, PC game or obox or
The running each node of product, as shown in Figure 2.
In the present embodiment, since the data being collected into are mainly used for improving the quality and user experience of product, from production
The product operation data gathered in product running equipment, generally comprise crash info, behavioral data, facility information, operating condition etc..
In addition, user preferences are set, user collects etc. can be also gathered from product running equipment.
Acquisition for crash info can be the acquisition of Dump files, Tracelog acquisitions, system mistake acquisition, update
One, two or multinomial in mistake acquisition.
The Dump files refer to due to the failure of system software or hardware machine be caused to be delayed machine, and machine is in the same of the machine of delaying
When collect the relevant information delayed before machine, the file of generation.The machine of delaying refers to the machine of client it sometimes appear that crash situation,
It is present with the printed words of " 888 " on liquid crystal board simultaneously.
The Tracelog files are one kind of journal file, the reference as developer's debugging routine.
In general, client needs the collections such as Dump files, Tracelog files, system mistake, update mistake to get off,
Related technical personnel are delivered to be analyzed, where finding out machine problem, in the present embodiment, Dump files, Tracelog texts
Part, system mistake, update mistake etc. will be conveyed directly to monitoring analysis unit 102 and handle, and as next processing, refer to
Hereafter.
Preferably, for the healthy and strong of data acquisition program operation and efficiently.We can by the hadoop ecospheres,
The advanced technologies such as spring cloud micro services ensure the stabilization of data acquisition platform, when enough steady of data acquisition platform
It is fixed, healthy and strong and efficient, with regard to masterly when tackling data sampling and processing and the computing of magnanimity.When enough big of the data of platform,
Enough quick of operation efficiency, is carrying out data analysis, will very efficiently and accurately on option screening.
Monitoring analysis unit 102 is mainly used for carrying out analysis classification to the operation data that collecting unit 101 provides, such as
Fatal error（System crash or hang-up destroy data）, gross error（Make unstable system, generation error result, menu function
It can not realize）, common fault（The mistake occurred when completing a certain function, but have no effect on the realization of the function）, recommended items
（Software is not perfect or user's part inconvenient to use）Deng these mistakes being included under different classifications, with further to carry
Go out solution and different wrong levels be provided so that the reparation of product is made a distinction between the important and the lesser one, it is main the problem of priority processing, and then improve
The improvement efficiency of product.Monitoring analysis unit 102 also provides the monitoring of product operating condition, including monitoring information, intelligence report,
The functions such as case study, log query.
Searching unit 103 carries the core of the present invention, i.e., the classification provided according to monitoring analysis unit 102
Later the corresponding solution of operation data search, and corresponding solution is sent to reparation unit 104 and is performed.
Unit 104 is repaired, the product solution found according to searching unit 103 is modified to product or incited somebody to action
The content of product solution is shown.
The data intelligence processing system of the present invention, further includes：
Registration center：Center is found as service registration using Netflix Eureka, is directed to the improvement of micro services；
API gateway：Micro services gateway using Netflix Zuul, is responsible for load balancing, authentication, filtering；
Data acquisition service：The data that client is sent are received, and message is write as to Kafka message queues；
Kafka message queues：Kafka is that a kind of distributed post of high-throughput subscribes to message system, it can handle consumption
Everything flow data in the website of person's scale；
Data consumption service：The log information in Kafka message queues is consumed, the data of acquisition are handled and stored, is wrapped
It includes, persistence：By databases such as data persistences to Hbase, mysql, so as to the preservation and inquiry of data；Document analysis takes
Business：The reason for crash log uploaded for client parses, and analysis makes mistake, and call persistence service storing and resolving
As a result；
Offline statistics：Offline data statistic analysis is carried out to passing day, week, the moon, generates all kinds of analytical statements, as game is asked
Inscribe equipment ranking list, collapse rate, any active ues trend etc.；
Real-time statistics：Streaming statistical analysis is carried out to the data in Kafka using Spark Streaming streamings statistical frameworks,
Such as any active ues Add User, real-time collapse rate etc.；
Buffer service：Data buffer service is provided, mitigates the read-write pressure that high-frequency accesses data.
Fig. 3 is the functional block diagram of searching unit provided by the invention, as shown in figure 3, searching unit provided by the invention
103, including intelligence learning analysis module 301, scheme solves library module 302, is artificially injected module 303, wherein,
Intelligence learning analysis module 301, by machine learning, acquisition can export corresponding solution by inputting operation data
The certainly ability of scheme.
Machine learning is the science of an artificial intelligence, and the main study subject in the field is artificial intelligence, particularly such as
Where the performance of specific algorithm is improved in empirical learning.In other words, machine learning is to can be by experience improved meter automatically
The research of calculation machine algorithm, that is, with data or previous experience, with the performance standard of this optimizing computer program.
In the present embodiment, since the function that searching unit needs to have is to export corresponding solution by inputting operation data
Certainly scheme, it is therefore desirable to using the multiple user data for having possessed solution as training data, carry out machine learning,
The user data for possessing solution may be employed the mode being manually entered and obtain, can also operational version solve library module conduct
Data source can also have both at the same time, in short, every correspondence that can correctly reflect user data and solution can be with
Source as training data, not restriction data.
Scheme solves library module 302, and including a form, operation data pass corresponding with solution is store in form
System.The present embodiment sets grade in itself by data retrieval mode, and to solution, is sieved especially by keyword match mode
Rational solution is selected, and is repaired and is tested with reference to dependence test platform, reparation is polled according to screening scheme,
Until problem reparation success.It is business system since database has characteristics, the database such as efficient, reliable, complete, motor synchronizing
System carries out the good selection of data control, is used by the present embodiment.In screening process, the keyword for the problem of will appear from is made
For key, the similar problems to match with the keyword of the operation data are retrieved in scheme solves storehouse and are solved with corresponding
Scheme, then the grade of foundation solution are sent to searching unit 103 in certain sequence.For example it is assumed that it stores in database
It is " network connection interruption " to run data, and corresponding solution is " checking whether network cable connects ", " checks that network interface card drives
Whether dynamic program is correctly installed ", and grade is set respectively as level-one and two level, when " network occurs in the process of running in certain product
During the situation of disconnecting ", collecting unit 101 receives the Tracelog files of network connection interruption and parses, by monitoring point
After the analysis classification for analysing unit 102, searching unit 103 is sent to, when searching unit 103 receives this then message, side therein
Case solves library module just with " network ", " interruption " for keyword（Word）, searching database collects problems associated and solution
Certainly scheme, at this point, the grade according to earlier set, searching unit sends " checking whether network cable connects " to reparation unit
104, after the connection of definite network cable is intact, the problem of still without network connection interruption is repaired, then according to earlier set
Such poll reparation that grade, output " check whether NIC driver is correctly installed " ..., until Resolving probiems, if data
The result of library searching is intact after tested, cannot still solve the problem of then to send this operation data in operation data
To being artificially injected module 303.
Module 303 is artificially injected, for manually running the corresponding solution of data input according to the problem of product emerged in operation
Certainly scheme, accurately, targetedly to solve the problems, such as.
Secondly, solving the problems, such as that library module can not be found in above-mentioned intelligence learning analysis module, scheme can correctly repair
Solution when, be artificially injected module and provide an extraordinary solution window, and to be artificially injected module injection every time
Content for training data, further carry out machine learning, hoisting machine learning model problem-solving ability.
Preferably, more related datas, related platform and product are associated by the present invention, from horizontal number
According to longitudinal data analysis is analyzed, from whole data analysis to a other data analysis, and constantly screen, continuous counterweight
The statistics of data is wanted, final design goes out the intelligentized data report of core value, and according to some main flow directions in the market
The data or platform of property, allow data acquisition platform to provide intelligentized suggestion and solution.Some advanced, mainstreams are combined as far as possible
AI frames, allow platform be capable of intelligence study analysis, solve the problems, such as, so as to fulfill the real intelligence of data acquisition platform
Epoch.It so from the acquisition of problem, analyzes, statistics is pinpointed the problems, and is screened problem, is solved the problems, such as, all realize intelligentized
It solves.
Fig. 4 is according to the flow chart of the data intelligence processing of the present invention, below with reference to Fig. 4 to the intelligent data of the present invention
The method of processing is described in detail.
First, in step 401, acquisition, the operation data of storage product running equipment, and analysis classification is carried out.
In step 402, the operation data after being sorted out according to analysis search and provide product solution.Intelligence can be passed through
The analysis of energy study analysis unit, obtains corresponding solution；Or solve to retrieve similar problem in storehouse from scheme, according to inspection
Rope key search goes out corresponding solution；Or the method by being manually entered obtains corresponding product solution, and will
The solution is injected into intelligence learning analytic unit and/or scheme is solved in storehouse.In search procedure, institute can be manually checked
It states scheme and solves the corresponding product solution in storehouse and the corresponding product solution party in intelligence learning analytic unit
Case.
In step 403, according to product solution, modify to product or show the content of solution,
It is modified by artificial mode.
In the present embodiment, since the data being collected into are mainly used for improving the quality and user experience of product, from production
The product operation data gathered in product running equipment, generally comprise crash info, behavioral data, facility information, operating condition etc.
Product runs data.In addition, can also gather product operation data from product running equipment, for example, user preferences set,
User's collection etc..
One of ordinary skill in the art will appreciate that：The foregoing is only a preferred embodiment of the present invention, and does not have to
In the limitation present invention, although the present invention is described in detail with reference to the foregoing embodiments, for those skilled in the art
For, still can to foregoing embodiments record technical solution modify or to which part technical characteristic into
Row equivalent substitution.Within the spirit and principles of the invention, any modifications, equivalent replacements and improvements are made should all include
Within protection scope of the present invention.
Claims (7)
1. a kind of data intelligence processing system, including, collecting unit, monitoring analysis unit, searching unit and reparation unit,
It is characterized in that,
The collecting unit, the acquisition operation data from product running equipment；
The monitoring analysis unit carries out analysis classification to the operation data；
The searching unit, the operation data after being sorted out according to analysis, searches corresponding product solution；
The reparation unit modifies to product according to the content of the product solution or by product solution
Content is shown, and is back to searching unit by result is repaired.
2. data intelligence processing system according to claim 1, which is characterized in that the searching unit further comprises,
Intelligence learning analysis module, scheme solve library module and are artificially injected module, wherein,
The intelligence learning analysis module, for analyzing the data of the monitoring analysis unit offer using intelligence computation method,
And analysis result is sent to reparation unit；
The scheme solves library module, and the data for being provided according to the monitoring analysis unit are retrieved and by retrieval result
It is sent to searching unit；
It is described to be artificially injected module, for the operation data display to be come out, and will be in solution by artificial mode
Hold input to searching unit.
3. data intelligence processing system according to claim 1 or 2, which is characterized in that the reparation unit is being repaired
During failure, the next solution that the searching unit is sent is received, until repairing successfully.
4. data intelligence processing system according to claim 2, which is characterized in that the scheme solves library module,
When not finding result or the scheme solves still to repair after the solution retrieved in library module all travels through
During success, the operation data forwarding of reception is artificially injected module to described.
5. a kind of method of data intelligence processing, comprises the following steps：
1) gather, store the operation data of product running equipment, and carry out analysis classification；
2) the operation data after being sorted out according to analysis, search and provide product solution；
3) according to the product solution, modify to product or show the content of solution.
6. the method for data intelligence processing according to claim 5, which is characterized in that the operation data, crash info,
Behavioral data, facility information, operating condition, user preferences are set and user's collection.
7. the method for data intelligence processing according to claim 5, which is characterized in that the step 2）Further comprise,
From scheme solve storehouse in retrieve similar problem, according to search key retrieve corresponding product solution or
By the analysis of intelligence learning analytic unit, obtain corresponding product solution or
Corresponding product solution is obtained by the method being manually entered, and the product solution is injected into intelligence learning
Analytic unit or scheme are solved in storehouse.
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| CN201711430076.8A CN108108445A (en) | 2017-12-26 | 2017-12-26 | A kind of data intelligence processing method and system |
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| CN109345099A (en) * | 2018-09-20 | 2019-02-15 | 深圳市数本科技开发有限公司 | Wisdom exception management system |
| CN109561100A (en) * | 2018-12-24 | 2019-04-02 | 浙江天脉领域科技有限公司 | Method and system based on the distributed duplexing energized network attacking and defending with artificial intelligence |
| CN109710503A (en) * | 2018-12-28 | 2019-05-03 | 浙江百应科技有限公司 | A kind of method of Intelligent voice dialog data OA operation analysis |
| CN109753531A (en) * | 2018-12-26 | 2019-05-14 | 深圳市麦谷科技有限公司 | A kind of big data statistical method, system, computer equipment and storage medium |
| CN110570097A (en) * | 2019-08-15 | 2019-12-13 | 中国平安人寿保险股份有限公司 | business personnel risk identification method and device based on big data and storage medium |
| CN115147083A (en) * | 2022-07-15 | 2022-10-04 | 国网四川省电力公司经济技术研究院 | Power transmission and transformation project overall-process cost evaluation system with information level interactive management |
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| CN115147083A (en) * | 2022-07-15 | 2022-10-04 | 国网四川省电力公司经济技术研究院 | Power transmission and transformation project overall-process cost evaluation system with information level interactive management |
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Application publication date: 20180601 |