CN109615265A - Industrial data analysis method, device and electronic equipment based on integrated development system - Google Patents

Industrial data analysis method, device and electronic equipment based on integrated development system Download PDF

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CN109615265A
CN109615265A CN201811601324.5A CN201811601324A CN109615265A CN 109615265 A CN109615265 A CN 109615265A CN 201811601324 A CN201811601324 A CN 201811601324A CN 109615265 A CN109615265 A CN 109615265A
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analysis
analysis model
data
dastudio
industrial
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崔必如
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Beijing Send Cloud Dingcheng Technology Co Ltd
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Beijing Send Cloud Dingcheng Technology Co Ltd
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Abstract

The embodiment of the present invention provides a kind of industrial data analysis method, device and electronic equipment based on integrated development system, the integrated development system includes the DaStudio for the creation analysis engineering and DaRuntime for deployment analysis task, the method comprise the steps that in DaStudio, obtain industrial equipment historical data, and pass through creation analysis project, utilize the industrial equipment historical data, the fundamental analysis model of foundation is trained, tested and assessed, target analysis model is obtained;In DaRuntime, the target analysis model is applied in different equipment or scene, and utilizes the target analysis model, real-time stream is analyzed in real time or timing batch processed is done to specified data.The embodiment of the present invention can effectively improve development efficiency and system multiplexing rate, and more convenient industrial data analysis model can be applied in application on site system.

Description

Industrial data analysis method, device and electronic equipment based on integrated development system
Technical field
The present embodiments relate to technical field of information processing, more particularly, to a kind of based on integrated development system Industrial data analysis method, device and electronic equipment.
Background technique
With the rapid development of industrialization and information-based depth integration and industrial Internet of Things, equipment can be largely indicated Operating status, the data of production operation situation are collected, and form a large amount of industrial data.By to a large amount of industrial datas It collects, to play a role in industrial circle using the machine learning method based on data-driven.Data analysis During being widely used including the industrial productions O&M such as intelligence manufacture, the energy, rail traffic.
In industrial data analytic process, key problem is the building and deployment of Data Analysis Model.It is existing to industry Data deployment analysis and application during, realized in a manner of customized development mostly data fundamental analysis, pretreatment with The off-line analysis processes such as algorithm modeling further will realize data in model in trained model insertion application on site system In real-time access analysis.
For above-mentioned analysis system since specific industrial object or application scenarios are different, data characteristics also tends to the presence of very big difference It is different, when progress algorithm analysis model is established, needs to find different data processing algorithms again, cause development efficiency low and be The reusability of system is poor.In addition, being analyzed due to being had differences between off-line data and on-line system being established according to off-line analysis process On the basis of model, also tend to be difficult to for trained model being easily used in application on site system.
Summary of the invention
In order to overcome the above problem or at least be partially solved the above problem, the embodiment of the present invention provides a kind of based on collection At industrial data analysis method, device and the electronic equipment of development system, to effectively improve development efficiency and system multiplexing rate, And more convenient industrial data analysis model can be applied in application on site system.
In a first aspect, the embodiment of the present invention provides a kind of industrial data analysis method based on integrated development system, it is described Integrated development system includes the DaStudio for the creation analysis engineering and DaRuntime for deployment analysis task, described Method includes:
In DaStudio, industrial equipment historical data is obtained, and by creation analysis project, utilizes the industrial equipment Historical data is trained, tests and assesses to the fundamental analysis model of foundation, obtains target analysis model;
In DaRuntime, the target analysis model is applied in different equipment or scene, and utilizes institute Target analysis model is stated, real-time stream is analyzed in real time or timing batch processed is done to specified data.
Second aspect, the embodiment of the present invention provides a kind of industrial data analytical equipment based on integrated development system, described Integrated development system includes the DaStudio for the creation analysis engineering and DaRuntime for deployment analysis task, described Device includes:
Analysis project constructs module, in DaStudio, obtaining industrial equipment historical data, and passes through creation analysis Engineering is trained, tests and assesses to the fundamental analysis model of foundation using the industrial equipment historical data, obtains mesh Mark analysis model;
Analysis task deployment module, in DaRuntime, the target analysis model to be applied to different equipment Or in scene, and the target analysis model is utilized, real-time stream is analyzed in real time or to specified data Do timing batch processed.
The third aspect, the embodiment of the present invention provide a kind of electronic equipment, comprising: at least one processor, at least one Manage device, communication interface and bus;The memory, the processor and the communication interface are completed mutual by the bus Communication, the communication interface between the electronic equipment and target industrial equipment information transmission;In the memory It is stored with the computer program that can be run on the processor, when the processor executes the computer program, is realized such as Industrial data analysis method described in upper first aspect based on integrated development system.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, the non-transient calculating Machine readable storage medium storing program for executing stores computer instruction, and the computer instruction executes the computer described in first aspect as above Industrial data analysis method based on integrated development system.
Industrial data analysis method, device and electronic equipment provided in an embodiment of the present invention based on integrated development system, By using including DaStudio's (being used for creation analysis engineering) and DaRuntime (passing through analysis project deployment analysis task) The exploitation of industrial data analysis model and deployment system make entire platform tandem data acquisition, data storage and Computational frame, can Development efficiency and system multiplexing rate are effectively improved, and more convenient industrial data analysis model can be applied to application on site system In.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root Other attached drawings are obtained according to these attached drawings.
Fig. 1 is that the process of the industrial data analysis method provided in an embodiment of the present invention based on integrated development system is illustrated Figure;
Fig. 2 is to be opened according to integrated in the industrial data analysis method provided in an embodiment of the present invention based on integrated development system The structural schematic diagram of hair system;
Fig. 3 is to utilize according in the industrial data analysis method provided in an embodiment of the present invention based on integrated development system The flow diagram of DaStudio creation analysis engineering;
Fig. 4 is according in the industrial data analysis method provided in an embodiment of the present invention based on integrated development system Use-case schematic diagram is disposed in the layering of DaStudio and DaRuntime;
Fig. 5 is the structural representation of the industrial data analytical equipment provided in an embodiment of the present invention based on integrated development system Figure;
Fig. 6 is the entity structure schematic diagram of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the embodiment of the present invention, instead of all the embodiments.Based on the embodiment in the embodiment of the present invention, ability Domain those of ordinary skill every other embodiment obtained without making creative work, belongs to the present invention The range of embodiment protection.
The embodiment of the present invention for the problems such as traditional analysis system development efficiency is low and the reusability of system is poor, by using Industrial data including DaStudio (being used for creation analysis engineering) and DaRuntime (passing through analysis project deployment analysis task) Analysis model exploitation and deployment system make entire platform tandem data acquisition, data storage and Computational frame, can effectively improve Development efficiency and system multiplexing rate, and more convenient industrial data analysis model can be applied in application on site system.Below Expansion explanation and introduction will be carried out to the embodiment of the present invention especially by multiple embodiments.
Fig. 1 is that the process of the industrial data analysis method provided in an embodiment of the present invention based on integrated development system is illustrated Figure, wherein integrated development system includes for the DaStudio of creation analysis engineering and for deployment analysis task DaRuntime, as shown in Figure 1, this method comprises:
S101 obtains industrial equipment historical data in DaStudio, and by creation analysis project, is set using industry Standby historical data, is trained, tests and assesses to the fundamental analysis model of foundation, obtains target analysis model.
Fig. 2, which is shown in the industrial data analysis method based on integrated development system provided according to embodiments of the present invention, to be collected At the structural schematic diagram of development system, as shown in Fig. 2, the integrated development system includes two layer frame of DaStudio and DaRuntime Structure, wherein the exploitation of Data Analysis Model according to an embodiment of the present invention is completed in DaStudio, including according to industrial equipment Historical data is trained model, tests and assesses.And the deployment of analysis task is completed in DaRuntime.
Specifically, the building of analysis project is completed in DaStudio, including the browsing and choosing to industrial equipment data It selects, selection (such as by existing model selection or custom code realization etc.) and analysis to fundamental analysis algorithm model (training of fundamental analysis model, test and evaluation) etc. is executed, trained target analysis model may finally be obtained.
Target analysis model is applied in different equipment or scene, and utilize by S102 in DaRuntime Target analysis model analyzes real-time stream in real time or does timing batch processed to specified data.
The deployment of analysis model is realized by DaRuntime, including trained target analysis model is applied to difference Equipment perhaps real-time stream is analyzed in real time using trained target analysis model in scene or to specified Data do timing batch processed etc..
It is understood that all analysis tasks that DaStudio is generated all are executed by DaRuntime, including to publication The schedule of analysis task out.The result of all analysis tasks can be output to specified address, including hdfs, tsdb Or kafka.Therefore DaRuntime is the execution of an analysis task, management and layout center.For holding for custom code Row, DaRuntime provide corresponding R, Matlab and Python running environment;For model, DaRuntime provides spark's Runnable interface.
Industrial data analysis method provided in an embodiment of the present invention based on integrated development system, by using including The industrial data analysis of DaStudio (being used for creation analysis engineering) and DaRuntime (passing through analysis project deployment analysis task) Model development and deployment system make entire platform tandem data acquisition, data storage and Computational frame, can effectively improve exploitation Efficiency and system multiplexing rate, and more convenient industrial data analysis model can be applied in application on site system.
Wherein, according to the above embodiments optionally, the step of obtaining industrial equipment historical data specifically includes: from equipment In metadata management DMM, industrial equipment historical data is obtained, alternatively, uploading data file from by local, obtains industrial equipment Historical data.
The embodiment of the present invention according to the above embodiments carry out industrial equipment data selection when, DaStudio support from Device data is obtained in DMM and uploads file acquisition data from local.DMM is device metadata management, manages access The data address and interface of all devices.DaStudio can dock multiple DMM, and from DMM browse and select equipment and its Corresponding data.By data selection interface and quick dynamic convergence search algorithm, user intuitively can quickly check all The distribution and trend of historical data, and allow user's circle to select the data of multiple periods and be organized into different groups, after facilitating Continuous analysis processing.
On the basis of the various embodiments described above, utilizing industrial equipment historical data, to the fundamental analysis model of foundation into Before the step of row training, test and assessment, the method for the embodiment of the present invention further include: the number based on industrial equipment historical data According to attribute, fundamental analysis model and the corresponding configuration parameter of fundamental analysis model are determined.
It is understood that being trained using its historical data to analysis model for target industrial equipment, and benefit It, first will be according to the data of the target industrial equipment before being analyzed with trained target analysis model its real time data Attribute determines the analysis model for being suitable for industrial equipment in this, including parser and corresponding model configuration parameter etc..It is based on This, could utilize the historical data of the target industrial equipment, carry out subsequent fundamental analysis model training and test process, obtain Eventually for the target analysis model of actual industrial data analysis application.
Wherein, according to the above embodiments optionally, the step of determining fundamental analysis model specifically includes: from DaStudio In choose the analysis model being applicable in data attribute in preset Gneral analysis model, as basic analysis model, alternatively, passing through Custom code is inputted, fundamental analysis model is constructed.
The embodiment of the present invention is according to the above embodiments to parser, i.e., when being determined to fundamental analysis model, DaStudio supports that two alanysis methods, one kind are by subscribing to the existing model of platform, and one kind is by inputting customized generation Code.Such as it can preset multiple Gneral analysis models include that (multidimensional signal based on least square is pre- by LSM in systems in advance Survey), RUL (predicting residual useful life), general and special scenes the analysis model such as SPC.Fundamental analysis is carried out in practical applications When model determines, it can therefrom select suitable Gneral analysis model as the fundamental analysis model of selection.
On the other hand, for the mode of custom code, it is suitable for user and imports existing history algorithm or fast velocity modulation Examination and verification algorithm, such as the language that can be supported have R, Matlab and Python etc..
Wherein, according to the above embodiments optionally, using industrial equipment historical data, to the fundamental analysis model of foundation The step of being trained specifically includes: utilizing DaStudio, determines fundamental analysis model, and create temporal analysis task;It utilizes DaRuntime, is based on industrial equipment historical data and fundamental analysis model, Lai Zhihang temporal analysis task, and by implementing result DaStudio is fed back to, so that DaStudio optimizes adjustment to fundamental analysis model.
Specifically, can be as shown in figure 3, for according to the industry provided in an embodiment of the present invention based on integrated development system The flow diagram of DaStudio creation analysis engineering is utilized in data analysing method, is analyzed in figure using DaStudio When the building of engineering, following process flow is executed:
Facility information is obtained from device metadata management (DMM), or uploads local file to HDFS and TSDB;
By doing convergence inquiry fast browsing historical data from TSDB, and therefrom select corresponding target data segment;
If analysis method is custom code, the temporary duty of a data preparation can be triggered by DaRuntime For extracting the target data segment selected before;
Target data segment/group of selection is passed into analysis module;
If it is by subscribe to model carry out data analysis, then configure the model carry out model training/test (model Execution can be completed by way of creating temporal analysis task by DaRuntime);
If it is data analysis is carried out by way of custom code, the temporal analysis of corresponding code equally will create Task is executed by DaRuntime, after DaRuntime is executed, DaStudio is returned result to, for DaStudio Adjustment analysis model, implementation model optimization are returned the result according to this.
Later, it can use trained analysis model and carry out normal industrial data analysis application.Specifically, can be with Real-time analysis task or timing batch analysis task are created using above-mentioned analysis project, is obtained from device metadata management (DMM) It takes target device information (target device is the object that analysis task to be created will be analyzed), and by the submission of task to be created It is executed to DaRuntime.
The embodiment of the present invention passes through the combination of DAstudio and DAruntime, the mechanism that can will be accumulated in some industries Model is quickly applied in big data platform, can in true industrial data iteratively faster development model, can will send out In the middle of the model rapid deployment to production environment opened, it is converted into applying in real time.
On the basis of the various embodiments described above, after the step of obtaining target analysis model, the side of the embodiment of the present invention Method further include: choose different equipment or scene, and be based on target analysis model, publication is directed to different equipment or scene Analysis task.
The embodiment of the present invention needs to create analysis project using DaStudio, and issues analysis task.Any one point Analysis engineering (analysis method can be model, be also possible to custom code) can issue into an analysis task.Analysis is appointed Business can be real-time analysis task (real time data of processing designated equipment), be also possible to the batch task of timing (specified Certain one piece of data of time or time interval processing designated equipment).
In addition, for the analysis implementation procedure of the various embodiments described above, each analysis model can have its corresponding to open Parameter and configured board are sent out, if analysis method choice is existing model, model can be carried out by option and installment Training and test.If the analysis method of selection is custom code, implementing result if, can directly pass through interface return.
For the technical solution that the embodiment of the present invention will be further explained, the embodiment of the present invention provides such as according to the above embodiments The process flow of lower embodiment, but the protection scope of the embodiment of the present invention is not limited.
Fig. 4 is according in the industrial data analysis method provided in an embodiment of the present invention based on integrated development system Use-case schematic diagram is disposed in the layering of DaStudio and DaRuntime, as shown in figure 4, group and subsidiary factory can be located at different ground Area.Analysis project is created by the DaStudio affixed one's name in group side, after model construction/training finishes, selection will be applied Target device generate analysis task.According to the subsidiary factory where target device, analysis task can be sent to point that the equipment belongs to The DaRuntime of factory is executed.
Dilatation has horizontal and vertical two kinds of dilatation ways.Lateral dilatation: it is disposed while increasing new subsidiary factory corresponding DaRuntime;Longitudinal dilatation: after the equipment that a subsidiary factory is managed increases above the upper limit, DaRuntime is realized by container Dilatation.
The hierarchical design of DAstudio and DAruntime of the embodiment of the present invention can quickly support scale out.Based on container The DAruntime of design can very easily carry out dilatation, the change without carrying out any code.By DAstudio and The real-time analysis task that DAruntime is generated can be used for the analysis application of rapid build industrial data.
For example, when needing to increase the function of an abnormality detection based on oneclassSVM, increase oneclass first The model of SVM, specific data are then directed to by DaStudio (can be device data, is also possible to the sheet of offline Ground data) it is trained, issue out one or more real-time analysis task.Then the result of these real-time tasks is spat to new This application of " abnormality detection " of addition.
In this way, it when completing a new business function demand, can concentrate one's energy to be placed on application interface Exploitation and newly-increased model algorithm part, and everything does assists to complete by DaStudio and DaRuntime.
As the other side of the embodiment of the present invention, the embodiment of the present invention provides one kind according to the above embodiments and is based on The industrial data analytical equipment of integrated development system, the device are based on integrated development system for realizing in the above embodiments Industrial data analysis.Therefore, retouching in the industrial data analysis method based on integrated development system of the various embodiments described above It states and defines, can be used for the understanding of each execution module in the embodiment of the present invention, specifically refer to above-described embodiment, herein not It is repeating.
One embodiment according to an embodiment of the present invention, the structure of the industrial data analytical equipment based on integrated development system As shown in figure 5, be the structural schematic diagram of the industrial data analytical equipment provided in an embodiment of the present invention based on integrated development system, The integrated development system includes the DaStudio for the creation analysis engineering and DaRuntime for deployment analysis task, should Device can be used to implement the analysis of the industrial data in above-mentioned each method embodiment based on integrated development system, as shown in figure 5, should Device includes: analysis project building module 501 and analysis task deployment module 502.Wherein:
Analysis project constructs module 501 and is used in DaStudio, obtains industrial equipment historical data, and pass through creation point Analysis engineering is trained, tests and assesses to the fundamental analysis model of foundation using industrial equipment historical data, obtains target Analysis model;Analysis task deployment module 502 is used in DaRuntime, and target analysis model is applied to different equipment Or in scene, and target analysis model is utilized, real-time stream is analyzed in real time or specified data is determined When batch processed.
Specifically, as shown in Fig. 2, analysis project construct module 501 carry out Data Analysis Model exploitation when, It is completed in DaStudio, including model is trained according to industrial equipment historical data, test and is assessed.In other words, divide Analysis engineering building module 501 completes the building of analysis project in DaStudio, including the browsing and choosing to industrial equipment data It selects, selection (such as by existing model selection or custom code realization etc.) and analysis to fundamental analysis algorithm model (training of fundamental analysis model, test and evaluation) etc. is executed, trained target analysis model may finally be obtained.
Analysis task deployment module 502 then completes the deployment of analysis model, is specifically utilized by analysis task deployment module 502 DaRuntime realizes the deployment of analysis model, including by trained target analysis model be applied to different equipment or In scene, real-time stream is analyzed in real time using trained target analysis model or specified data is determined When batch processed etc..
It is understood that all analysis tasks that DaStudio is generated all are executed by DaRuntime, including to publication The schedule of analysis task out.The result of all analysis tasks can be output to specified address, including hdfs, tsdb Or kafka.Therefore DaRuntime is the execution of an analysis task, management and layout center.For holding for custom code Row, DaRuntime provide corresponding R, Matlab and Python running environment;For model, DaRuntime provides spark's Runnable interface.
Industrial data analytical equipment provided in an embodiment of the present invention based on integrated development system is held accordingly by setting Row module (is appointed using including DaStudio (being used for creation analysis engineering) and DaRuntime by analysis project deployment analysis Business) the exploitation of industrial data analysis model and deployment system, make the acquisition of entire platform tandem data, data storage and calculation block Frame can effectively improve development efficiency and system multiplexing rate, and more convenient can be applied to industrial data analysis model online In application system.
It is understood that can be by hardware processor (hardware processor) come real in the embodiment of the present invention Each relative program module in the device of existing the various embodiments described above.Also, the embodiment of the present invention based on integrated development system Industrial data analytical equipment utilize above-mentioned each program module, can be realized above-mentioned each method embodiment based on integrated development system Industrial data analysis process, in for realizing above-mentioned each method embodiment based on integrated development system industrial data analysis When, the beneficial effect that the device of the embodiment of the present invention generates is identical as corresponding above-mentioned each method embodiment, can refer to above-mentioned Each method embodiment, details are not described herein again.
As the another aspect of the embodiment of the present invention, the present embodiment provides a kind of electronics according to the above embodiments and sets It is standby, it is the entity structure schematic diagram of electronic equipment provided in an embodiment of the present invention, comprising: at least one processor with reference to Fig. 6 601, at least one processor 602, communication interface 603 and bus 604.
Wherein, memory 601, processor 602 and communication interface 603 complete mutual communication by bus 604, communicate Interface 603 is for the information transmission between the electronic equipment and target industrial equipment;Being stored in memory 601 can be in processor The computer program run on 602 when processor 602 executes the computer program, realizes the base as described in the various embodiments described above In the industrial data analysis method of integrated development system.
It is to be understood that including at least memory 601, processor 602, communication interface 603 and bus in the electronic equipment 604, and memory 601, processor 602 and communication interface 603 form mutual communication connection by bus 604, and can be complete The industrial data analysis method based on integrated development system is read from memory 601 at mutual communication, such as processor 602 Program instruction etc..In addition, communication interface 603 can also realize the communication link between the electronic equipment and target industrial equipment It connects, and achievable mutual information transmission, the industrial data analysis based on integrated development system is such as realized by communication interface 603 Deng.
When electronic equipment is run, processor 602 calls the program instruction in memory 601, real to execute above-mentioned each method Apply method provided by example, for example, in DaStudio, obtain industrial equipment historical data, and pass through creation analysis work Journey is trained, tests and assesses to the fundamental analysis model of foundation using industrial equipment historical data, obtains target analysis Model;In DaRuntime, target analysis model is applied in different equipment or scene, and utilizes target analysis Model analyzes real-time stream in real time or does timing batch processed etc. to specified data.
Program instruction in above-mentioned memory 601 can be realized and as independent by way of SFU software functional unit Product when selling or using, can store in a computer readable storage medium.Alternatively, realizing that above-mentioned each method is implemented This can be accomplished by hardware associated with program instructions for all or part of the steps of example, and program above-mentioned can store to be calculated in one In machine read/write memory medium, when being executed, execution includes the steps that above-mentioned each method embodiment to the program;And storage above-mentioned Medium includes: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), the various media that can store program code such as magnetic or disk.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium also according to the various embodiments described above, this is non-temporarily State computer-readable recording medium storage computer instruction, the computer instruction execute computer as described in the various embodiments described above The industrial data analysis method based on integrated development system, for example, in DaStudio, obtain industrial equipment history number According to, and the fundamental analysis model of foundation is trained, is tested using industrial equipment historical data by creating analysis project And assessment, obtain target analysis model;In DaRuntime, target analysis model is applied to different equipment or scene In the middle, and target analysis model is utilized, real-time stream is analyzed in real time or specified data is done at timing batch Reason etc..
Electronic equipment provided in an embodiment of the present invention and non-transient computer readable storage medium, by executing above-mentioned each reality The industrial data analysis method described in example based on integrated development system is applied, (is used for creation analysis work using including DaStudio Journey) and DaRuntime (passing through analysis project deployment analysis task) industrial data analysis model exploitation and deployment system, make whole A platform tandem data acquisition, data storage and Computational frame, can effectively improve development efficiency and system multiplexing rate, and can be more Easily industrial data analysis model is applied in application on site system.
It is understood that the embodiment of device described above, electronic equipment and storage medium is only schematic , wherein unit may or may not be physically separated as illustrated by the separation member, it can both be located at one Place, or may be distributed on heterogeneous networks unit.Some or all of modules can be selected according to actual needs To achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are without paying creative labor To understand and implement.
By the description of embodiment of above, those skilled in the art is it will be clearly understood that each embodiment can borrow Help software that the mode of required general hardware platform is added to realize, naturally it is also possible to pass through hardware.Based on this understanding, above-mentioned Substantially the part that contributes to existing technology can be embodied in the form of software products technical solution in other words, the meter Calculation machine software product may be stored in a computer readable storage medium, such as USB flash disk, mobile hard disk, ROM, RAM, magnetic disk or light Disk etc., including some instructions, with so that a computer equipment (such as personal computer, server or network equipment etc.) Execute method described in certain parts of above-mentioned each method embodiment or embodiment of the method.
In addition, those skilled in the art are it should be understood that in the application documents of the embodiment of the present invention, term "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that including a series of elements Process, method, article or equipment not only include those elements, but also including other elements that are not explicitly listed, or Person is to further include for elements inherent to such a process, method, article, or device.In the absence of more restrictions, by The element that sentence "including a ..." limits, it is not excluded that in the process, method, article or apparatus that includes the element There is also other identical elements.
In the specification of the embodiment of the present invention, numerous specific details are set forth.It should be understood, however, that the present invention is implemented The embodiment of example can be practiced without these specific details.In some instances, it is not been shown in detail well known Methods, structures and technologies, so as not to obscure the understanding of this specification.Similarly, it should be understood that in order to simplify implementation of the present invention Example is open and helps to understand one or more of the various inventive aspects, above to the exemplary embodiment of the embodiment of the present invention Description in, each feature of the embodiment of the present invention is grouped together into single embodiment, figure or descriptions thereof sometimes In.
However, the disclosed method should not be interpreted as reflecting the following intention: i.e. the claimed invention is implemented Example requires features more more than feature expressly recited in each claim.More precisely, such as claims institute As reflection, inventive aspect is all features less than single embodiment disclosed above.Therefore, it then follows specific embodiment party Thus claims of formula are expressly incorporated in the specific embodiment, wherein each claim itself is real as the present invention Apply the separate embodiments of example.
Finally, it should be noted that above embodiments are only to illustrate the technical solution of the embodiment of the present invention, rather than it is limited System;Although the embodiment of the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art it is understood that It is still possible to modify the technical solutions described in the foregoing embodiments, or part of technical characteristic is carried out etc. With replacement;And these are modified or replaceed, each embodiment skill of the embodiment of the present invention that it does not separate the essence of the corresponding technical solution The spirit and scope of art scheme.

Claims (9)

1. a kind of industrial data analysis method based on integrated development system, which is characterized in that the integrated development system includes DaStudio for the creation analysis engineering and DaRuntime for deployment analysis task, which comprises
In DaStudio, industrial equipment historical data is obtained, and by creation analysis project, utilizes the industrial equipment history Data are trained, test and assess to the fundamental analysis model of foundation, obtain target analysis model;
In DaRuntime, the target analysis model is applied in different equipment or scene, and utilizes the mesh Analysis model is marked, real-time stream is analyzed in real time or timing batch processed is done to specified data.
2. the method according to claim 1, wherein the industrial equipment historical data is utilized described, to building Before the step of vertical fundamental analysis model is trained, tests and assesses, further includes:
Based on the data attribute of the industrial equipment historical data, the fundamental analysis model and the fundamental analysis mould are determined The corresponding configuration parameter of type.
3. according to the method described in claim 2, it is characterized in that, the step of determination fundamental analysis model specifically wrap It includes:
The analysis model being applicable in the data attribute is chosen from Gneral analysis model preset in DaStudio, as described Fundamental analysis model, alternatively, constructing the fundamental analysis model by input custom code.
4. the method according to claim 1, wherein after the acquisition target analysis model the step of, also Include:
The different equipment or scene are chosen, and is based on the target analysis model, publication is directed to the different equipment Or the analysis task of scene.
5. method according to any of claims 1-4, which is characterized in that the acquisition industrial equipment historical data Step specifically includes:
From device metadata management DMM, the industrial equipment historical data is obtained, alternatively, uploading data text from by local Part obtains the industrial equipment historical data.
6. according to the method described in claim 4, it is characterized in that, described utilize the industrial equipment historical data, to foundation Fundamental analysis model the step of being trained specifically include:
Using DaStudio, the fundamental analysis model is determined, and create temporal analysis task;
Using DaRuntime, it is based on the industrial equipment historical data and the fundamental analysis model, to execute described interim point Analysis task, and implementing result is fed back into DaStudio, so that DaStudio optimizes adjustment to the fundamental analysis model.
7. a kind of industrial data analytical equipment based on integrated development system, which is characterized in that the integrated development system includes DaStudio for the creation analysis engineering and DaRuntime for deployment analysis task, described device include:
Analysis project constructs module, in DaStudio, obtaining industrial equipment historical data, and passes through creation analysis work Journey is trained, tests and assesses to the fundamental analysis model of foundation using the industrial equipment historical data, obtains target Analysis model;
Analysis task deployment module, in DaRuntime, by the target analysis model be applied to different equipment or In scene, and the target analysis model is utilized, real-time stream is analyzed in real time or specified data is determined When batch processed.
8. a kind of electronic equipment characterized by comprising at least one processor, at least one processor, communication interface and total Line;
The memory, the processor and the communication interface complete mutual communication, the communication by the bus Interface is also used to the transmission of the information between the electronic equipment and target industrial equipment;
The computer program that can be run on the processor is stored in the memory, the processor executes the calculating When machine program, the method as described in any in claim 1 to 6 is realized.
9. a kind of non-transient computer readable storage medium, which is characterized in that the non-transient computer readable storage medium is deposited Computer instruction is stored up, the computer instruction makes the computer execute the method as described in any in claim 1 to 6.
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