CN110505301A - A kind of aeronautical manufacture workshop industry big data processing frame - Google Patents
A kind of aeronautical manufacture workshop industry big data processing frame Download PDFInfo
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- CN110505301A CN110505301A CN201910790649.0A CN201910790649A CN110505301A CN 110505301 A CN110505301 A CN 110505301A CN 201910790649 A CN201910790649 A CN 201910790649A CN 110505301 A CN110505301 A CN 110505301A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a kind of aeronautical manufacture workshop industry big datas to handle frame comprising edge calculations layer, data transfer layer, batch data process layer, generating date layer, service layer and data feedback loop；The edge calculations layer is directly connected to equipment end, the data transfer layer and equipment end and data batch processing layer sum number factually when process layer connect, the batch data process layer and generating date layer are connect with service layer respectively, and the service layer connect with data feedback ring.The present invention is by building high performance data processing platform (DPP), it can satisfy the batch processing and processing in real time to the mass data generated in the process of workshop, increase the mode of data processing, and there is further utilization to data processed result, for workshop appliance process, the demands such as device status monitoring and Condition Prediction of Equipment, realize further support.
Description
Technical field
The invention belongs to industrial data process fields, and in particular to a kind of new aeronautical manufacture workshop industry big data processing
Frame.
Background technique
With the development of industry 4.0, the digitlization of aeronautical manufacture industry, automation, intelligence degree are continuously improved.Big number
According to the environmental qualities such as data-driven, the ever more important for becoming the processing, utilization and storage of industrial data, and at traditional data
Reason structure also gradually exposes the drawbacks of being unable to satisfy growing data processing and functional requirement.Furthermore traditional data
Framework be it is single end to end flow to framework, can not support the batch processing and processing in real time of data, and treatment effeciency simultaneously
Low, transmission delay is big.But many data flows in industrial processes are that needs are handled in real time or batch processing is to meet
Production requirement.Two common requirements that most enterprises build big data, first is that (connecing of extracting in data is continuously flowed into
Closely) the analysis of real time information, second is that the continual analysis of mass data stream.But the extraction of real time data, in real time processing and quickly
Analysis is also the significant challenge faced at present.
Aeronautical manufacture realizes the integrated of manufacture system as entire manufacturing front end, the intelligence of decision process,
The automation of process and the active of service process.The production model of its multi-varieties and small-batch, diversified manufacture scene
With high-precision manufacture requirement, keep its manufacturing process all the more complicated, it is also higher and higher to the performance requirement of equipment.And data information
Parsing can effectively ensure that product quality and stable production process, however the manufacturing environment of this complexity greatly increases number
According to amount and data complexity.Thereby it is ensured that effectively extracting information, and realize data processing, analysis and application, is futurity industry number
According to the main trend of process field.
Summary of the invention
The main purpose of the present invention is to provide a kind of aeronautical manufacture workshop industry big datas to handle frame, it is intended to solve both
There is the above technical problem existing for method.
To achieve the above object, the present invention provides a kind of aeronautical manufacture workshop industry big data processing frame, including edge
Computation layer, data transfer layer, batch data process layer, generating date layer, service layer and data feedback loop；The edge meter
It calculates layer to be directly connected to equipment end, be handled in real time for the data to high real-time demand；The data transfer layer with set
It is connected for process layer when holding with data batch processing layer sum number factually, for providing the data source of data processing；The data
Batch processing layer and generating date layer are connect with service layer respectively, for accessing and storing to data processed result；
The service layer connect with data feedback ring, for carrying out Real-time Feedback and utilization to data processed result.
Further, the edge calculations layer includes at least data acquisition program, computer and data processor, sets
The host computer in workshop appliance is set, the acquisition to data is carried out by sensor, capture card or third party's data acquisition program, and
It is transferred to edge calculations unit, carries out the processing to data.
Further, the data transfer layer includes at least Kafka message-oriented middleware, Kafka deployment services device, interchanger
And router, it is used to receive the data of acquisition layer transmission and the data processed result of edge calculations layer, and determine data
The data requirements for meeting disparate modules to transmission, by the data communication established between each level, based among Kafka message
Part carries out the subscription/publication to multi-source data, meets the needs of different objects are for data.
Further, the batch data process layer includes at least Hadoop data processing platform (DPP), Hive data bins depositary management
Science and engineering tool, the batch data of transport layer, is completely calculated, handled and is analyzed to batch data for receiving data, and
Output data processing result.
Further, the generating date layer includes at least Spark collection group operatione frame, HBase distributed data
Library, the real-time incremental data of transport layer, quickly calculate real-time incremental data for receiving data, handle and analyze,
And output data processing result.
Further, the service layer includes at least HBase database, is used to receive batch processing layer and real-time process layer
Data processed result, and provide to the query service of data processed result.
Further, the data feedback ring is for inquiring service layer's database, and by the result of data query
As input, feedback control order is triggered.
The invention has the following advantages:
(1) the invention discloses a kind of new aeronautical manufacture workshop industry big datas to handle frame, for industrial data
Processing mode and treatment effeciency have further promotion, improve the utilization rate to data processed result；
(2) the invention proposes feedback layers and edge calculations layer；Wherein feedback layer makes the application to data processed result
It is upper more flexible, the contrary operation of object can be realized according to user demand；And the involvement of edge calculations layer, it can be effective
Shorten and calculate the time, further supports the demand of industrial manufacturing process partial service real-time response；
(3) it is considered as rubbish the invention avoids magnanimity process data in machine tooling operation process and abandons, makes
At serious number waste；Its mass data based on acquisition numerically-controlled machine tool itself process, is analyzed and processed, to reach prison
Lathe monitor state is surveyed, after prediction the problems such as stage running situation；
(4) present invention reduces in data handling procedure, the problem of data processing centralization, data processing centre is reduced
Pressure, saved computing resource, and save bandwidth；
(5) present invention is no longer the data processing architecture of single flow direction relative to traditional data processing mode, can
Data, the reverse flow etc. of data processed result are adapted to, to meet more the needs of manufacturing scene.
Detailed description of the invention
Fig. 1 is aeronautical manufacture workshop industry big data processing circuit theory schematic diagram of the invention；
Fig. 2 is the architecture diagram of aeronautical manufacture workshop industry big data processing frame of the invention；
Fig. 3 is that aeronautical manufacture workshop industry big data processing frame of the invention realizes structure chart.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.
In order to solve the problems in the prior art, the invention proposes at a kind of new aeronautical manufacture workshop industry big data
Frame, referred to as Phi framework are managed, further improvement is realized based on Lambda stream data processing framework, it is anti-to have incorporated data
The theory of feedback and edge calculations, can adapt to aeronautical manufacture workshop different manufacture scene and manufacturing process data process demand.
Marginalisation (data terminal) processing is realized to the data of high real-time demand by the involvement of edge calculations, saves data transmission
It is time, very big to improve data transmission efficiency；By the involvement of data feedback theory, greatly shortens Lambda framework and exist
Data processed result utilizes upper efficiency, provides more extensive support for the data handling utility of different scenes.Into one
The realization of step, the effective use of the efficient process and data processed result of data.
The primary solutions of the embodiment of the present invention are as follows:
As shown in Figure 1, a kind of aeronautical manufacture workshop industry big data handles frame, including edge calculations layer, data transmission
Layer, batch data process layer, generating date layer, service layer and data feedback loop；The edge calculations layer and equipment end are straight
It connects, is handled in real time for the data to high real-time demand in succession；The data transfer layer and equipment end and batch data
Process layer sum number factually when process layer connect, for providing the data source of data processing；The batch data process layer and number
Process layer is connect with service layer respectively when factually, for accessing and storing to data processed result；The service layer and number
It is connected according to feedback loop, for carrying out Real-time Feedback and utilization to data processed result.
In an alternate embodiment of the present invention where, edge calculations layer includes at least data acquisition program, computer and number
According to processing routine, the host computer of workshop appliance is set, is carried out by sensor, capture card or third party's data acquisition program
Acquisition to data, and it is transferred to edge calculations unit, carry out the processing to data.Edge calculations layer is initiated from equipment end to a
The real-time processing of other data saves the process of data transmission, and can carry out data processing knot in conjunction with different data process demand
The feedback of fruit.
In an alternate embodiment of the present invention where, data transfer layer includes at least Kafka message-oriented middleware, the portion Kafka
Server, interchanger and router are affixed one's name to, is used to receive the data of acquisition layer transmission and the data processed result of edge calculations layer,
And the data requirements for meet to data directive sending disparate modules is based on by the data communication established between each level
Kafka message-oriented middleware carries out the subscription/publication to multi-source data, meets the needs of different objects are for data.
In an alternate embodiment of the present invention where, batch data process layer include at least Hadoop data processing platform (DPP),
Hive data warehouse management tool, the batch data of transport layer for receiving data, batch data is completely calculated,
Processing and analysis, and output data processing result.
In an alternate embodiment of the present invention where, generating date layer include at least Spark collection group operatione frame,
HBase distributed data base, the real-time incremental data of transport layer, quickly count real-time incremental data for receiving data
It calculates, processing and analysis, and output data processing result.
In an alternate embodiment of the present invention where, service layer includes at least HBase database, is used to receive batch processing
The data processed result of layer and real-time process layer, and the query service to data processed result is provided.
In an alternate embodiment of the present invention where, data feedback ring is used to inquire service layer's database, and will
The result of data query triggers feedback control order as input.
As shown in Fig. 2 the software frame of whole industrial data processing frame is constituted, and a whole set of software can be deployed in
On single server or distributed type assemblies, Kafka message-oriented middleware is disposed first, realizes the publication and subscription of mass data；Into
One step builds batch data processing platform, realizes the processing to whole data set, data batch processing layer is built first, wherein including
Hadoop and Hive；Next builds generating date, including spark and HBase, then realizes Hadoop and Spark
Between configuration, complete distribution build.Data warehouse is further established, the included HDFS distribution of Hadoop is mainly contained
Formula file system, Hive data warehouse management tool, HBase distributed data base are realized to metadata, and data, processing are handled
As a result storage.
As shown in figure 3, data processing shelf of the invention is designed to following system, it is divided into multiple modules, comprising: API
Gateway, user management, data acquisition, monitoring service, data transmission, data processing, storage service and query service.By will not
With the combination between service, to construct complete data processing system.But system itself is not limited to above-mentioned service.
Above-mentioned API gateway is a server, provides the user API for accessing service, and it encapsulates each clothes of system
The API of business, to realize the communication between each service.
Above-mentioned user management module provides the registration and management of user, authentication and authorization, the service such as secure access.
Above-mentioned data acquisition module is a part for digitizing workshop component, provides device oriented data acquisition service,
To support shop floor status monitoring service, data processing service and result queries service.
Above-mentioned monitoring service module is to digitize a part of workshop component, provides shop floor status monitoring and data processing knot
The display of fruit.Support the real time monitoring service of shop floor status.
Above-mentioned data transmission module receives the mass data from acquisition client using Kafka as core component, and realizes
To monitoring client, the data of data processing end and storage end are transmitted.
Above-mentioned processing service module provides the batch processing and processing in real time of data.It receives and is sent from data acquisition service
Data, and data processed result is sent into database purchase.
Above-mentioned edge calculations service module is used for the calculating pressure of equilibrium data processing center, is other services in system
It provides edge calculations to support, to accelerate service response.
Above-mentioned storage services module provides the storage of metadata and data processed result.In addition, interacted with query service, with
Support data query service.
Connection and interaction of the above-mentioned query service module based on big data processing service and with database.User can pass through
The mode of Web UI and mobile terminal is interacted with enquiry module, to realize the query service of data processed result and user.
Industry big data in aeronautical manufacture workshop disclosed in this invention handles frame, by building high performance data processing
Platform can satisfy batch processing and processing in real time to the mass data generated in the process of workshop, increase at data
The mode of reason, and have further utilization to data processed result, for workshop appliance process, equipment state prison
The demands such as control and Condition Prediction of Equipment, realize further support.
Those of ordinary skill in the art will understand that the embodiments described herein, which is to help reader, understands this hair
Bright principle, it should be understood that protection scope of the present invention is not limited to such specific embodiments and embodiments.This field
Those of ordinary skill disclosed the technical disclosures can make according to the present invention and various not depart from the other each of essence of the invention
The specific variations and combinations of kind, these variations and combinations are still within the scope of the present invention.
Claims (7)
1. a kind of aeronautical manufacture workshop industry big data handles frame, which is characterized in that including edge calculations layer, data transmission
Layer, batch data process layer, generating date layer, service layer and data feedback loop；The edge calculations layer and equipment end are straight
It connects, is handled in real time for the data to high real-time demand in succession；The data transfer layer and equipment end and batch data
Process layer sum number factually when process layer connect, for providing the data source of data processing；The batch data process layer and number
Process layer is connect with service layer respectively when factually, for accessing and storing to data processed result；The service layer and number
It is connected according to feedback loop, for carrying out Real-time Feedback and utilization to data processed result.
2. industry big data in aeronautical manufacture workshop as described in claim 1 handles frame, which is characterized in that the edge calculations
Layer includes at least data acquisition program, computer and data processor, and the host computer of workshop appliance is arranged in, passes through sensing
Device, capture card or third party's data acquisition program carry out the acquisition to data, and are transferred to edge calculations unit, carry out to data
Processing.
3. industry big data in aeronautical manufacture workshop as described in claim 1 handles frame, which is characterized in that the data transmission
Layer includes at least Kafka message-oriented middleware, Kafka deployment services device, interchanger and router, is used to receive acquisition layer transmission
Data and edge calculations layer data processed result, and carry out the data requirements for meeting disparate modules to data directive sending,
By the data communication established between each level, it is based on Kafka message-oriented middleware, carries out the subscription/publication to multi-source data, it is full
Demand of the foot difference object for data.
4. industry big data in aeronautical manufacture workshop as described in claim 1 handles frame, which is characterized in that the batch data
Process layer includes at least Hadoop data processing platform (DPP), Hive data warehouse management tool, for receiving data transport layer
Batch data is completely calculated, handled and is analyzed to batch data, and output data processing result.
5. industry big data in aeronautical manufacture workshop as described in claim 1 handles frame, which is characterized in that the data are real-time
Process layer includes at least Spark collection group operatione frame, HBase distributed data base, and transport layer is real-time for receiving data
Incremental data quickly calculates real-time incremental data, handles and analyzes, and output data processing result.
6. industry big data in aeronautical manufacture workshop as described in claim 1 handles frame, which is characterized in that the service layer is extremely
Less include HBase database, be used to receive the data processed result of batch processing layer and real-time process layer, and provides to data
Manage the query service of result.
7. industry big data in aeronautical manufacture workshop as described in claim 1 handles frame, which is characterized in that the data feedback
Ring triggers feedback control order for inquiring service layer's database, and using the result of data query as input.
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