CN108009300A - A kind of novel maintenance system based on big data technology - Google Patents
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Abstract
The present invention provides a kind of novel maintenance system based on big data technology, including data source, data acquisition module, data memory module, data analysis module, application module and display module, data acquisition module is from data source gathered data and sends to data memory module and data analysis module, the data that data analysis module collects data acquisition module analyze and process, and the result after analyzing and processing is sent to data memory module, data memory module is connected to application module, and application module is outwardly shown by display module.The application that the present invention passes through the advanced technologies such as knowledge mapping, machine learning and big data analysis, change current novel maintenance software and simply realize that program long-distance Log server is downloaded, failure primary is reminded and the Present Functions such as long-distance video is checked, really realize that product failure intelligent diagnosis, failure predication are intelligent, and call fault database, experts database intelligent Matching optimal processing scheme automatically.
Description
Technical field
The present invention relates to novel maintenance platform, more particularly to the novel maintenance system based on big data technology.
Background technology
Traditional manufacture faces the challenge of transition innovation, utilizes information-based, intelligent, big data technological transformation manufacturing industry
The manufacturing and service mode, lift the market competitiveness of products & services.With manufacture epoch new thinking, weaving is only
The means of machine industry sustainable development.Although novel maintenance industry market demand is huge, most long-range fortune
Dimension primarily focuses on data acquisition and monitoring of tools, and the efficiently using of the theory, data on O&M, big data platform are built
It is perfect not enough on if.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of novel maintenance system based on big data technology, this platform
Novel maintenance core value is designed with big data thinking, realizes comprehensive collection in real time, cleaning, the analysis of device product total data
And application, make that product failure diagnosis and prediction is intelligent, the displaying visualization of equipment mass data, be after-sale Service of Product,
Products innovation, market competition provide powerful technical support.
Technical solution is used by the present invention solves above-mentioned technical problem:A kind of novel maintenance based on big data technology
System, including data source, data acquisition module, data memory module, data analysis module, application module and display module, number
From data source gathered data and sent according to acquisition module to data memory module and data analysis module, data analysis module logarithm
The data collected according to acquisition module are analyzed and processed, and the result after analyzing and processing is sent to data memory module,
Data memory module is connected to application module, and application module is outwardly shown by display module.
Further, data source derives from the scientific and technical data of industry-by-industry.
Further, data analysis module includes data cleansing unit, parser unit, data mining unit, machine
Unit and machine translation unit, data cleansing unit are connected to data acquisition module and data acquisition module are arrived collection
Data cleaned and arranged, and cleaning and reduced data are sent to parser unit, parser unit and press
Data are carried out with analysis classification according to certain computation rule, data mining unit is arranged according to the data that algorithm unit is sorted out
And excavation, it is then forwarded to machine learning unit and is learnt, while sends to machine translation unit.
Further, it is remote to include equipment remote fault diagnosis platform, equipment fault intelligent predicting platform, equipment for application module
Journey maintenance platform, video management platform, device management platform, experts database platform, knowledge base platform, industry scientific and technical innovation service are flat
Platform and system synthesis control platform, wherein, equipment remote fault diagnosis platform realizes fault data, malfunction history data, early warning
Real-time collection, storage, the analysis of the data messages such as setting, solution, equipment fault intelligent predicting platform pass through device data
With the algorithm model in knowledge base, the performance degradation process of product is predicted and assessed, equipment or product are predicted
To safeguard, apparatus remote maintenance platform and video management platform carry out Remote Fault Diagnosis and maintenance to the equipment to break down, if
Standby management platform realizes the standardizing, unitize of equipment, mapable and lifecycle management, experts database platform are mainly realized specially
The management in family storehouse, realizes the maintenance and expert's matching of expert info, and knowledge base platform includes fault database, prediction scheme processing storehouse and calculation
For method model library, it can be achieved that data check and inquiry are fed back, industry technological innovation service platform provides information consultation for designated trade,
System synthesis control platform provides the synthesis management and control of whole novel maintenance big data platform.
The beneficial effects of the invention are as follows:1st, the present invention is advanced by knowledge mapping, machine learning and big data analysis etc.
The application of technology, changes current novel maintenance software and simply realizes that program long-distance Log server is downloaded, failure primary is reminded and remote
Journey video such as checks at the Present Function, really realizes that product failure intelligent diagnosis, failure predication are intelligent, and call failure automatically
Storehouse, experts database intelligent Matching optimal processing scheme.2nd, the present invention relies on big data technology, to the data of product lifecycle into
Row is analyzed comprehensively, in real time, and the newest scientific research information in the industry whole world, rival, expert's paper monitor and analyze in real time,
Powerful technical support is provided for products innovation.3rd, the present invention passes through machine translation, intelligent customer service, across language big data, language
The technologies such as identification, are analyzed flat by multilingual service of goods software, across language intelligence client service center, world market information monitoring
The ability such as platform, the globalization after-sale service of fast lifting enterprise, market competition.4th, the present invention is by magnanimity different latitude data
Analysis and combing, from business focus, carry out the real-time of device data, Dynamic Display monitoring, system provides whole world visitor
User data display platform, shows that Customer Location and quantity, customer equipment operating condition, type year sales statistics, fault alarm disappear
Cease push, global customers thermodynamic chart, key customer's concern etc..
Brief description of the drawings
Fig. 1 is the system architecture diagram of the present invention.
Embodiment
Embodiment of the present invention is described in further detail with reference to embodiments, it should be noted that embodiment
Simply technical solution of the present invention is expanded on further, is not limitation of the invention.
A kind of novel maintenance system based on big data technology as shown in Figure 1, carries out bottom using big data technology and puts down
Platform is built, and Technical Architecture is broadly divided into 6 big module systems, is respectively:Data source, data acquisition module, data memory module, number
According to analysis module, application module, display module, wherein, data acquisition module is deposited from data source gathered data and transmission to data
Storage module and data analysis module, the data that data analysis module collects data acquisition module analyze and process, and
Result after analyzing and processing is sent to data memory module, data memory module is connected to application module, and application module passes through
Display module is outwardly shown.
From figure 1 it appears that data source derives from the scientific and technical data of industry-by-industry.
Big data acquisition platform in data acquisition module realizes big number by building configurable interface protocol and instrument
According to automatic intelligent gather, for different data sources(Setting in the existing equipment monitoring system data of enterprise, client's production line
Standby data, enterprises Production&Operations Management data, the science data of textile industry, industry internet data etc.)Using difference
Interface realize.
Data analysis module include data cleansing unit, parser unit, data mining unit, machine learning unit and
Machine translation unit, data cleansing unit are connected to data acquisition module and data acquisition module are arrived to the data progress of collection
Cleaning and arrangement, and cleaning is sent to parser unit with reduced data, parser unit is according to certain meter
Calculate rule analysis classification is carried out to data, mainly realize mass data intellectual analysis processing and excavate, while analyze and process with
And the content excavated includes the automatic fitration of junk data information, data cleansing, intelligent duplicate removal, data modeling, rule execution etc..
As a preferred embodiment, data mining unit is interspersed in multiple service application scenes, in remote fault diagnosis, failure
It is required for utilizing big data analysis Mining Platform during intelligent predicting, equipment management, competition Analyzing etc., with aid decision
And judgement.
Application module is the application platform of big data business, based on big data underlying platform, builds multiple big data business
Application platform, mainly includes:Equipment remote fault diagnosis platform, equipment fault intelligent predicting platform, apparatus remote maintenance platform,
Video management platform, device management platform, experts database platform, knowledge base platform, industry technological innovation service platform, system synthesis
Control platform.
Equipment remote fault diagnosis platform realizes the data such as fault data, malfunction history data, early warning setting, solution
Real-time collection, storage, the analysis of information.After equipment breaks down, platform is automatically according to unit type and fault type, notice
To corresponding personnel, the corresponding prediction scheme processing scheme of the failure in fault database, prediction scheme processing storehouse is called automatically, and be automatically fed to
Client.Equipment statement-of-health, including comprehensive report and diagnosis in detail can be generated(Efficiency diagnosis, quality diagnosis, energy consumption diagnosis, production
Amount diagnosis).
Equipment fault intelligent predicting platform is by the algorithm model in device data and knowledge base, to the performance degradation of product
Process is predicted and assesses, and maintenance is predicted to equipment or product.
Apparatus remote maintenance platform and video management platform carry out Remote Fault Diagnosis and maintenance to the equipment to break down.
Device management platform realizes the standardizing, unitize of equipment, mapable, lifecycle management.Enterprise can be
Line monitors all devices, realizes device data information(Real time data and historical data)With plant maintenance information(Safeguard record, dimension
Shield is reminded, maintenance inquisition)Collection, storage, analysis.
Experts database platform mainly realizes the management of experts database, realizes maintenance and the expert's matching feature of expert info, is setting
After standby failure, technician can be quickly found out corresponding expert.
Knowledge base platform includes fault database, prediction scheme processing storehouse and algorithm model storehouse, it can be achieved that data check and inquiry are anti-
Feedback.Once there is equipment fault, knowledge base is called automatically, finds optimal processing scheme.
Industry technological innovation service platform is mainly that textile industry client provides good scientific and technical innovation service, is carried for client
For the consulting of textile industry up-to-date information, industry hot recommendation, academic intelligence, industry specialists, rival intelligence analysis and
The services such as the big data analysis report of industry.
System synthesis control platform realizes the synthesis management and control of whole novel maintenance big data platform, including rights management, number
According to management, backup management, spare parts management(Spare part information, spare parts demand), interface management, log management, parameter management, Yong Huguan
Reason and equipment management etc..
Display module is mainly that big data visualizes platform, by the analysis and combing to different latitude data, from
Business focus sets out, and equipment running status, video monitoring information, O&M information etc. are visualized.Big data can
" linkage of three screens " differentiation display is carried out for large, medium and small screen depending on changing displaying, large-size screen monitors are mosaic screens, and middle screen is mainly PC computers
And Pad, smaller screen are mobile phones.
Claims (4)
1. a kind of novel maintenance system based on big data technology, it is characterized in that, including data source, data acquisition module, data
Memory module, data analysis module, application module and display module, data acquisition module from data source gathered data and send to
Data memory module and data analysis module, the data that data analysis module collects data acquisition module are carried out at analysis
Reason, and the result after analyzing and processing is sent to data memory module, data memory module is connected to application module, application module
Outwardly it is shown by display module.
2. a kind of novel maintenance system based on big data technology according to claim 1, it is characterized in that, data source source
In the scientific and technical data of industry-by-industry.
3. a kind of novel maintenance system based on big data technology according to claim 1, it is characterized in that, data analysis mould
Block includes data cleansing unit, parser unit, data mining unit, machine learning unit and machine translation unit, data
Cleaning unit is connected to data acquisition module and the data of data acquisition module to collection is cleaned and arranged, and will be clear
Wash to send to parser unit, parser unit with reduced data and data are divided according to certain computation rule
Analysis is sorted out, and data mining unit is arranged and excavated according to the data that algorithm unit is sorted out, and is then forwarded to machine learning list
Member is learnt, while is sent to machine translation unit.
4. a kind of novel maintenance system based on big data technology according to claim 1, it is characterized in that, application module bag
Include equipment remote fault diagnosis platform, equipment fault intelligent predicting platform, apparatus remote maintenance platform, video management platform, set
Standby management platform, experts database platform, knowledge base platform, industry technological innovation service platform and system synthesis control platform, wherein,
Equipment remote fault diagnosis platform realizes the reality of the data messages such as fault data, malfunction history data, early warning setting, solution
When collection, storage, analysis, equipment fault intelligent predicting platform is by the algorithm model in device data and knowledge base, to product
Performance degradation process be predicted and assess, maintenance, apparatus remote maintenance platform and video are predicted to equipment or product
Management platform carries out the equipment that breaks down Remote Fault Diagnosis and maintenance, device management platform realize equipment standardization,
Unitized, mapable and lifecycle management, experts database platform mainly realize the management of experts database, realize the dimension of expert info
Shield and expert's matching, knowledge base platform include fault database, prediction scheme processing storehouse and algorithm model storehouse, it can be achieved that data check and inquiry
Ask feedback, industry technological innovation service platform provides information consultation for designated trade, and system synthesis control platform provides whole remote
The synthesis management and control of Cheng Yunwei big data platforms.
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Cited By (23)
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CN109358838A (en) * | 2018-12-13 | 2019-02-19 | 上海安吉星信息服务有限公司 | A kind of software application question processing method and device |
CN109492044A (en) * | 2018-11-16 | 2019-03-19 | 江苏物联网研究发展中心 | Large data center O&M monitoring system and method |
CN109615090A (en) * | 2018-11-02 | 2019-04-12 | 中冶连铸技术工程有限责任公司 | Equipment maintenance intelligence control system and method |
CN109759729A (en) * | 2019-03-05 | 2019-05-17 | 奔腾激光(温州)有限公司 | A kind of laser equipment novel maintenance method |
CN110009525A (en) * | 2019-04-02 | 2019-07-12 | 国网新疆电力有限公司电力科学研究院 | Power information acquisition system and application method |
CN110110002A (en) * | 2019-05-13 | 2019-08-09 | 江南大学 | Big data virtual interactive interface system |
CN110278242A (en) * | 2019-05-14 | 2019-09-24 | 广东博通科技服务有限公司 | The industry internet public service platform of network-oriented Collaborative Manufacturing |
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CN112364228A (en) * | 2020-11-26 | 2021-02-12 | 深圳前瞻资讯股份有限公司 | Construction method, system, application method, terminal device and storage medium of enterprise big data system based on physical position |
CN112446031A (en) * | 2020-10-26 | 2021-03-05 | 国网安徽省电力有限公司信息通信分公司 | Operation and maintenance data display platform based on artificial intelligence |
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CN111985561A (en) * | 2020-08-19 | 2020-11-24 | 安徽蓝杰鑫信息科技有限公司 | Fault diagnosis method and system for intelligent electric meter and electronic device |
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CN112580831A (en) * | 2020-11-19 | 2021-03-30 | 国网江苏省电力有限公司信息通信分公司 | Intelligent auxiliary operation and maintenance method and system for power communication network based on knowledge graph |
CN112364228A (en) * | 2020-11-26 | 2021-02-12 | 深圳前瞻资讯股份有限公司 | Construction method, system, application method, terminal device and storage medium of enterprise big data system based on physical position |
CN112732465A (en) * | 2021-01-20 | 2021-04-30 | 北京高码科技有限公司 | Method for realizing automatic remote execution based on configuration scheduling |
CN113191688A (en) * | 2021-05-26 | 2021-07-30 | 重庆高新技术产业研究院有限责任公司 | Commercial data diagnosis and analysis method based on Internet of things and big data |
CN114398442B (en) * | 2022-01-25 | 2023-09-19 | 中国电子科技集团公司第十研究所 | Information processing system based on data driving |
CN114398442A (en) * | 2022-01-25 | 2022-04-26 | 中国电子科技集团公司第十研究所 | Data-driven information processing system |
CN114638627A (en) * | 2022-05-19 | 2022-06-17 | 中云汇(成都)物联科技有限公司 | Intelligent after-sale maintenance method, intelligent post station maintenance server and storage medium |
CN116401128A (en) * | 2023-06-06 | 2023-07-07 | 四川观想科技股份有限公司 | Big data-based information operation and maintenance management system |
CN116401128B (en) * | 2023-06-06 | 2023-08-08 | 四川观想科技股份有限公司 | Big data-based information operation and maintenance management system |
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