CN106685703A - Data acquisition and visual monitoring intelligent system - Google Patents
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- CN106685703A CN106685703A CN201611145166.8A CN201611145166A CN106685703A CN 106685703 A CN106685703 A CN 106685703A CN 201611145166 A CN201611145166 A CN 201611145166A CN 106685703 A CN106685703 A CN 106685703A
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- 230000000007 visual effect Effects 0.000 title claims abstract description 15
- 238000012544 monitoring process Methods 0.000 title claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 38
- 230000005540 biological transmission Effects 0.000 claims abstract description 13
- 230000006870 function Effects 0.000 claims abstract description 13
- 238000005516 engineering process Methods 0.000 claims abstract description 12
- 238000011084 recovery Methods 0.000 claims abstract description 12
- 238000013079 data visualisation Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 27
- 230000008569 process Effects 0.000 claims description 23
- 238000007726 management method Methods 0.000 claims description 17
- 238000003860 storage Methods 0.000 claims description 9
- 238000009826 distribution Methods 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000004519 manufacturing process Methods 0.000 claims description 4
- 230000008859 change Effects 0.000 claims description 3
- 238000009412 basement excavation Methods 0.000 claims description 2
- 238000013523 data management Methods 0.000 claims description 2
- 238000011065 in-situ storage Methods 0.000 claims description 2
- 238000004321 preservation Methods 0.000 claims description 2
- 238000003672 processing method Methods 0.000 claims description 2
- 238000007619 statistical method Methods 0.000 claims description 2
- 230000000153 supplemental effect Effects 0.000 claims description 2
- 239000004744 fabric Substances 0.000 claims 1
- 238000004891 communication Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 3
- 230000010354 integration Effects 0.000 description 3
- 230000004888 barrier function Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
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- 238000001514 detection method Methods 0.000 description 1
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- 230000008439 repair process Effects 0.000 description 1
- 230000010076 replication Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
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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
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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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
- H04L67/01—Protocols
-
- 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
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Multimedia (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
An intelligent system for data acquisition and visual monitoring mainly comprises: the system comprises a data acquisition subsystem for realizing data transmission of different bottom layer devices and an upper management system through OPC, a functional data processing subsystem for data uploading, backup and recovery, an optional big data processing subsystem applying big data technology and an application subsystem for user service. The data acquisition subsystem comprises an OPC client, a server, a bottom layer alarm module and the like, and has the characteristics of high transmission speed, large-scale data transmission support and the like; the data processing subsystem comprises modules for data uploading, backup and recovery and the like, and effectively guarantees the integrity and safety of data; the selectable big data processing layer comprises a data real-time stream processing module and a data offline computing module; the application subsystem comprises functions of data visualization display, historical data statistics query, an intelligent alarm monitoring module, authority management and the like.
Description
Technical field
The present invention relates to a kind of collecting method and visual control intelligence system.
Background technology
Industrial information epoch, various intelligent monitoring technologies can not only improve the automatization of enterprise information management and production
Level, moreover it is possible to effective improving production efficiency.Original single system only possesses the work(of data acquisition or data display
Can, and the data volume of each data acquisition gateway collection is also limited, when data volume is larger, the data processing on upper strata
Difficulty also increase immediately.The present invention designs a kind of data acquisition and visual control intelligence system, can effectively meet new one
For the functional requirement of intelligent monitor system and information integration, large-scale data acquisition and data processing can not only be carried out, while
Effective and reasonable data display can be carried out.
The content of the invention
Mesh of the present invention proposes and designs a kind of data acquisition and visualization for the deficiency of existing industrialization intelligence system
Intelligent system for monitoring, can effectively meet the functional requirement of New Generation of Intelligent monitoring system and information integration, can not only be advised greatly
The data acquisition and data processing of mould, while data visualization service can also be carried out.
A kind of data acquisition and visual control intelligence system, including：For gathering the work of each sensor of commercial production
The data acquisition subsystem of parameter and running status, uploads, backs up and recover the data process subsystem of function for data, can
The application big data processing method of choosing towards process large-scale data big data processing subsystem, for the application of user service
Subsystem；Wherein, the data of data acquisition subsystem are submitted to application subsystem storage analysis kimonos by data process subsystem
Business, if the data scale for being gathered is larger, needs to be processed by big data processing subsystem, then carries out application subsystem
Storage and service；
Wherein, described data acquisition subsystem includes：
OPC server modules, for gathering the running parameter of distinct device, the running parameter by local data interface
Including industrial on-site parameters such as temperature, pressure, humidity and voltages, and judge that shape is run in working site according to described running parameter
Whether state is normal；
OPC client module, for carrying out data acquisition via data processing module and tension management system, according to upper strata
The control instruction of management system is acquired to different OPC serve port data；
Data processing module, for OPC client module and the data exchange service of tension management system, such as parameter format
The functions such as conversion, packet Combinatorial resolution, data outliers in-situ processing judgement；
Bottom alarm module, for connecting local data processing module, carries out the abnormal alarm of local parameter, reminds
The correctness of transmission data and safety；
Described data process subsystem includes：
Transmission module in data, enters for OPC collections to be uploaded to into application subsystem via the supplemental characteristic of preliminary treatment
Row distributed storage, receives the uploading instructions of application subsystem；
Data backup restoration module, for the preservation of local data, backup and recovery, control uploads unexpected in data procedures
The recovery of state and data security guarantee；
Described big data processing subsystem includes：
Data real-time streams processing module, for towards industrial big data low time delay, it is expansible and fault-tolerance high request and
Row process, with real-time or near real-time process high amount of traffic, is realized using Spark and Storm technologies；
Off-line data computing module, for for industrial big data quantity it is big, complicated batch is calculated the features such as using Hdfs,
MapReduce, Hive technology is realized；
Described application subsystem includes：
Data distribution formula memory module, the cloudization for uploaded data is stored, and carries out follow-up data management, excavation etc.
Function；
Data display module, for real time data, historical data, statistical data of the industrial field data based on B/S patterns
Deng visual presentation；
Statistical query module, for carrying out the result queries after statistical analysiss and retrieval according to different pieces of information model；
Authority management module, for based on B/S mode users different rights manage, including data may have access to, can repair
Change, the assigning of authority, recoverable etc.；
Alarm inquiry module, for statistics and searching and managing that field data alerts number of times, warning value, disposition etc..
In data acquisition subsystem, OPC service ends are connect by OPC communications protocol and TCP communications protocol by local data
Mouth is connected in the equipment of different factories, for the device parameter information of the distinct device in each factory of Real-time Collection；
The data for collecting are connected to data processing module by OPC client by web service communications protocol, are carried out
The pretreatment of data, once data have abnormal and disappearance, alarm module can make corresponding warning information, conveniently carry out data
Detection and recovery；
In data process subsystem, on the one hand transmission module is connected to data processing module in data, and being on the one hand connected to should
With the data distribution formula memory module in subsystem；
Data can be carried out effectively standby by data recovery and backup module before uploading toward application subsystem to data
Part, once the phenomenons such as loss of data are run into, the timely recovery of data and integrity when convenient high level is asked again data.
Big data processing subsystem, by hadoop technologies can tackle data volume it is big when data processing, by HDFS
Calculated off line is provided with MapReduce for the data of magnanimity；
By storm technologies can tackle data volume it is big when data calculating in real time process, ensure application subsystem logarithm
According to second level response and show.
Described application subsystem can carry out effective data display to data, and Real-time Data Visualization module can be to working as
The equipment index of front certain a period of time carries out visual presentation；Historical statistics enquiry module, can set to history a period of time
Standby index is counted and shown；Alarm monitoring module, can make timely monitoring and reminding to the equipment for warning information occur, protect
The safety of barrier system；Authority management module, can be directed to different management personnel and set different managerial classes, realize not equal
The showing interface of level different operating function.
Authority management module in application subsystem, for different factories, the different request responses of different levels personnel, if
Different rights management interfaces are counted out, facilitates whole factory to request of data and the reasonability and effectiveness of monitoring of tools, ensured
The demand of data messageization management；
Data display module in application subsystem, the different demands to different factories are convenient to needing query monitor
Equipment carries out data query and displaying, it is also possible to the distinct device in certain region is monitored and data query；
Statistical query module in application subsystem, for the request of data demand of different periods, there is provided personnel query
To distinct device, the inquiry of historical data function of different historical periods, the device data contrast of different time sections can be effectively observed
With regional analysises function；
Alarm inquiry module in application subsystem, the phenomenon such as the parameter being likely to occur for equipment is exceeded, by alarm
Module makes timely bulletin to there is abnormal equipment, facilitates management personnel to make rational measure, prevents unnecessary damage
Lose.
It is an advantage of the invention that：
1) realize the uniform data collection to each factory site device parameter and process, the system can be made based on OPC
Start just independently of manufacturer from bottom, meet that platform is independent, scalability is strong, High Availabitity the advantages of；
2) industrial big data feature is taken into full account, the real-time of big data, offline is met by big data processing subsystem
The demands such as calculating；
3) system structure is apparent, and clearly, operation is friendly for subsystem function, realizes gathering industrial big data and visualizing prison
The customizable of control, motility and intellectuality.
Description of the drawings
The function module design figure of Fig. 1 present invention.
The application subsystem rights management interface of Fig. 2 present invention.
The application subsystem statistical query interface of Fig. 3 present invention.
The application subsystem alarm inquiry interface of Fig. 4 present invention.
Specific embodiment
Below in conjunction with the accompanying drawings, the enforcement to the present invention is described in detail.
As shown in figure 1, of the invention, i.e., a kind of data acquisition and visual control intelligence system, including：It is deployed in data to adopt
The equipment sources 1 of subsystem 100, OPC service ends 2, OPC client 3, data processing module 4, alarm module 5；It is deployed in data
Transmission module 6, data backup restoration module 7 in the data of processing subsystem 200；It is deployed in the data distribution of application subsystem 300
Formula storage 8, alarm inquiry module 9, data display module 10, authority module 11 and statistical query module 12；And be deployed in big
The real-time stream process 13 of data of data process subsystem 400 and data processed offline 14.
The data message that OPC service ends 2 pass through local data port collecting device source 1, including temperature, air pressure, pressure etc..
OPC client batch obtains real time data from OPC service ends, and data processing module 4 is transferred to by Ethernet after integration.Number
Preliminary treatment is carried out to data according to processing module 4, notifies that alarm module 5 is alerted to user when detecting abnormality processing, and by number
According to transmission module 6 in the data for giving data analysis layer 200.Alarm module 5 is sent to specified user by note and mail and is alerted
Information.
In data process subsystem 200, data to be sent to into data by Ethernet first standby for transmission module 6 in data
Part recovery module 7.Data backup restoration module 7 can carry out local and remote side backup to data, and in loss of data to data
Reduced.Then, transmission module 6 transfers data to the data distribution formula storage 8 of application subsystem 300 in data.
In application subsystem 300, the storage of data distribution formula 8 has two kinds of selection schemes, when data volume it is little, it is not necessary to carry out
During big data process, directly from MySQL as back-end data base, while carrying out leader follower replication and read and write abruption framework.Work as number
It is in large scale and when needing to carry out big data and processing according to measuring, from HBase distributed data bases, with reference to big data subsystem is processed
System 400 does online stream process and calculated off line task.Alarm inquiry module 9 shows sequentially in time the abnormal letter of nearest appearance
Breath, intuitively presents the operation conditions of current each equipment.Data display module 10 is classified according to equipment, and displaying is collected
Real time data.
Authority module 11 processes user right between each factory, is broadly divided into three-level：Highest weight limits the use of family admin, respectively
The manager of factory and the domestic consumer of each factory.There is admin highest authority can add the manager of each factory, each work
The manager of factory can only manage the user of our factory.Data isolation between each factory, user can only see the data of oneself factory.
Statistical query module 12 mainly shows historical data by the form of history curve, and each plant managers can make by oneself
The equipment that system need to show.
Big data processing subsystem 400, using hadoop technologies can tackle data volume it is big when data processing, pass through
MapReduce frameworks provide calculated off line for the data of magnanimity.Data are done with real-time calculating using Storm technologies to process, is protected
Barrier application layer is responded and shown to the second level of data.
In sum, the present invention obtains real-time device data by the local port of OPC service ends first, adopts in data
Subsystem and processing subsystem carry out preliminary treatment to data and do corresponding backup.In application subsystem, by exception
Data, real time data, the displaying of history curve, can intuitively describe the operation conditions of each equipment.Subsystem is processed in big data
System, is processed particular for the large-scale data for collecting, and further carries out big data mining analysis.
Above-described, only presently preferred embodiments of the present invention is not limited to the scope of the present invention, and the present invention's is upper
Stating embodiment can also make a variety of changes.What i.e. every claims and description according to the present patent application were made
Simply, equivalence changes and modification, fall within the claims of patent of the present invention.Of the invention not detailed description is
Routine techniquess content.
Claims (4)
1. a kind of data acquisition and visual control intelligence system, it is characterised in that：Described collection Visualized Monitoring System bag
Include：For gathering the running parameter of each sensor of commercial production and the data acquisition subsystem of running status, upload for data,
Backup and the data process subsystem of recovery function, it is optional to apply big data processing method towards the big of process large-scale data
Data process subsystem, for the application subsystem of user service；Wherein, data process subsystem is by data acquisition subsystem
Data are submitted to application subsystem storage analysis and are serviced, if the data scale for being gathered is larger, need by big data
Reason subsystem is processed, then carries out application subsystem storage and service,
Wherein, described data acquisition subsystem includes：
OPC server modules, for gathering the running parameter of distinct device by local data interface, the running parameter includes
The industrial on-site parameters such as temperature, pressure, humidity and voltage, and judge that working site running status is according to described running parameter
It is no normal；
OPC client module, for carrying out data acquisition via data processing module and tension management system, according to tension management
The control instruction of system is acquired to different OPC serve port data；
Data processing module, for OPC client module and the data exchange service of tension management system, such as parameter format turns
Change, packet Combinatorial resolution, data outliers in-situ processing judge etc. function；
Bottom alarm module, for connecting local data processing module, carries out the abnormal alarm of local parameter, reminds transmission
The correctness of data and safety；
Described data process subsystem includes：
Transmission module in data, is carried out point for OPC collections to be uploaded to into application subsystem via the supplemental characteristic of preliminary treatment
Cloth is stored, and receives the uploading instructions of application subsystem；
Data backup restoration module, for the preservation of local data, backup and recovery, control uploads unexpected state in data procedures
Recovery and data security guarantee；
Described big data processing subsystem includes：
Data real-time streams processing module, for towards industrial big data low time delay, expansible and fault-tolerance high request concurrency
Process, with real-time or near real-time process high amount of traffic, realized using Spark and Storm technologies；
Off-line data computing module, for for industrial big data quantity it is big, complicated batch is calculated the features such as using Hdfs,
MapReduce, Hive technology is realized；
Described application subsystem includes：
Data distribution formula memory module, the cloudization for uploaded data is stored, and carries out the work(such as follow-up data management, excavation
Energy；
Data display module, for real time data, historical data, statistical data of the industrial field data based on B/S patterns etc.
Visual presentation；
Statistical query module, for carrying out the result queries after statistical analysiss and retrieval according to different pieces of information model；
Authority management module, for based on B/S mode users different rights manage, including data may have access to, can change, weigh
It is the assigning of limit, recoverable etc.；
Alarm inquiry module, for statistics and searching and managing that field data alerts number of times, warning value, disposition etc..
2. data acquisition according to claim 1 and visual control intelligence system, it is characterised in that the number of the system
The data of transmission success can effectively be backed up according to processing subsystem, once detecting loss of data and error in data, can be opened
The function of dynamic data recovery, the data to there is mistake or lose are corrected and recovered.
3. data acquisition according to claim 1 and visual control intelligence system, it is characterised in that the number of the system
According to processing subsystem can the data larger to scale amount be effectively treated, the data are entered by Hadoop and Storm technologies
Row distributed storage, is easy to application subsystem to carry out request of data and operation.
4. data acquisition according to claim 1 and visual control intelligence system, it is characterised in that described application
System can carry out effective data display to data, and Real-time Data Visualization module can refer to the equipment of current certain a period of time
Mark carries out visual presentation；Historical statistics enquiry module, can be counted and be shown to the equipment index of history a period of time；
Alarm monitoring module, can make timely monitoring and reminding, the safety of safeguards system to the equipment for warning information occur；Authority pipe
Reason module, can be directed to different management personnel and set different managerial classes, realize the interface of different brackets different operating function
Show.
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Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107104980A (en) * | 2017-05-25 | 2017-08-29 | 北京中电普华信息技术有限公司 | A kind of Network Security Monitor System of content oriented |
| CN107509054A (en) * | 2017-08-16 | 2017-12-22 | 上海振华重工(集团)股份有限公司 | The Visualized Monitoring System and method of automatic dock |
| CN107766214A (en) * | 2017-10-12 | 2018-03-06 | 南京熊猫电子股份有限公司 | Mobile terminal data method for stream processing and system based on SPARK technologies |
| CN108256001A (en) * | 2017-12-31 | 2018-07-06 | 安徽中凯信息产业股份有限公司 | A kind of artificial intelligence communication data monitors system |
| CN108306870A (en) * | 2018-01-22 | 2018-07-20 | 广东奥飞数据科技股份有限公司 | A kind of data safety monitoring system |
| CN108710347A (en) * | 2018-04-16 | 2018-10-26 | 佛山市顺德区中山大学研究院 | A kind of monitoring cloud platform |
| CN108829063A (en) * | 2018-07-02 | 2018-11-16 | 深圳市佳运通电子有限公司 | Heating furnace Integrity Management centralized control equipment |
| CN109358574A (en) * | 2018-09-30 | 2019-02-19 | 珠海市运泰利自动化设备有限公司 | A kind of intelligent data acquisition, monitor and analysis system and method |
| CN109696316A (en) * | 2017-10-20 | 2019-04-30 | 株洲中车时代电气股份有限公司 | A kind of train remote supervision system |
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| CN109977700A (en) * | 2019-04-03 | 2019-07-05 | 福建奇点时空数字科技有限公司 | A kind of big data processing system based on network security |
| CN110161183A (en) * | 2019-05-30 | 2019-08-23 | 广东柯内特环境科技有限公司 | A kind of air quality monitoring method |
| CN110597057A (en) * | 2019-08-22 | 2019-12-20 | 浙江工业大学 | Data processing system in industrial application scene |
| CN110674196A (en) * | 2019-09-29 | 2020-01-10 | 国家气象中心 | GRAPES (generalized Grace temporal evolution) area set forecast inspection display system and display method |
| CN110687379A (en) * | 2019-10-17 | 2020-01-14 | 吉林大学 | Topology-configurable non-invasive building electrical equipment monitoring and analyzing system |
| CN111077870A (en) * | 2020-01-06 | 2020-04-28 | 浙江中烟工业有限责任公司 | Intelligent OPC data real-time acquisition and monitoring system and method based on stream calculation |
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| CN107104980A (en) * | 2017-05-25 | 2017-08-29 | 北京中电普华信息技术有限公司 | A kind of Network Security Monitor System of content oriented |
| CN107509054A (en) * | 2017-08-16 | 2017-12-22 | 上海振华重工(集团)股份有限公司 | The Visualized Monitoring System and method of automatic dock |
| CN107766214A (en) * | 2017-10-12 | 2018-03-06 | 南京熊猫电子股份有限公司 | Mobile terminal data method for stream processing and system based on SPARK technologies |
| CN109696316A (en) * | 2017-10-20 | 2019-04-30 | 株洲中车时代电气股份有限公司 | A kind of train remote supervision system |
| CN108256001A (en) * | 2017-12-31 | 2018-07-06 | 安徽中凯信息产业股份有限公司 | A kind of artificial intelligence communication data monitors system |
| CN108306870A (en) * | 2018-01-22 | 2018-07-20 | 广东奥飞数据科技股份有限公司 | A kind of data safety monitoring system |
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Application publication date: 20170517 |