CN106292591A - A kind of equipment big data platform monitoring diagnosis system - Google Patents
A kind of equipment big data platform monitoring diagnosis system Download PDFInfo
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- CN106292591A CN106292591A CN201610696844.3A CN201610696844A CN106292591A CN 106292591 A CN106292591 A CN 106292591A CN 201610696844 A CN201610696844 A CN 201610696844A CN 106292591 A CN106292591 A CN 106292591A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 17
- 238000012544 monitoring process Methods 0.000 title claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000010606 normalization Methods 0.000 claims abstract description 12
- 238000012549 training Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims 4
- 238000012545 processing Methods 0.000 abstract description 2
- 238000005259 measurement Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- 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
- G06F16/248—Presentation of query results
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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
- G06F16/25—Integrating or interfacing systems involving database management systems
-
- 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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
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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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Manufacturing & Machinery (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Automation & Control Theory (AREA)
- Computational Linguistics (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a kind of equipment big data platform monitoring diagnosis system, include sensor assembly, PLC, PLC gateway, data base and server, described data base includes normalization module and memory module, described sensor assembly passes sequentially through PLC, PLC gateway, normalization module are connected to memory module, described server includes warning module, display module and report generation module, and described memory module is respectively connecting to warning module, display module and report generation module.Multiple equipment can be monitored by present system by PLC gateway simultaneously；Pass through standard data format, it is simple in follow-up work, the early warning of server, display, report generation etc. process, and are allowed to much sooner and accurately simultaneously；Additionally include client manager module, it is achieved multiple equipment of different user are carried out parallel processing, ensures the safety of data simultaneously.The present invention can be widely applied to industrial control field as a kind of equipment big data platform monitoring diagnosis system.
Description
Technical field
The present invention relates to industrial control field, especially a kind of equipment big data platform monitoring diagnosis system.
Background technology
The level process measurement by high-level leader's highly recognition based on conventional institutionalization and feedback system, as
ERP, MES, FIS, MIS etc., the use for our quantifiable measurement standard and instrument is the most simple and crude, as OEE,
Equipment starts rate, split run yield, hourly output etc..Need the parameter of Real-time Feedback, feed back to our middle level or high-rise pipe
Reason person often with hour, sky, the week even form of the report of the moon are carried out.
On the other hand, for the equipment and operator of bottom, these out-of-date statistics feedbacks arrive leader's feedback again
The change of operational order, does not produce great help for current production, at most simply to past work efficiency with joint
The statistics clapped achieves.
Produce ten hundreds of actions and ten hundreds of events on line at one to need to catch and measure.Too many data and
Too many information produces simultaneously, it is not necessary, however, to the most data, what we needed only to is that problem is before will occurring
Can feed back in time, in order to we have the time to go to process it, it is to avoid quality problems occur and without planned shut-down.
Therefore, the quality objective of current plant produced is difficult to up to standard, and main cause generally includes: 1, parameter quantitative criteria
Differ, store and calculating process is unintelligible；2, feedback is not in time；3, not use instrument or process control set up measurement and
The institutionalization standard of feedback.
Summary of the invention
In order to solve above-mentioned technical problem, it is an object of the invention to: provide a kind of and realize industry is set based on Cloud Server
Standby monitoring in real time and the equipment big data platform monitoring diagnosis system of diagnosis in the course of the work.
The technical solution adopted in the present invention is: a kind of equipment big data platform monitoring diagnosis system, includes sensor
Module, PLC, PLC gateway, data base and server, described data base includes normalization module and memory module, institute
Stating that sensor assembly passes sequentially through PLC, PLC gateway, normalization module are connected to memory module, described server includes
Having warning module, display module and report generation module, described memory module is respectively connecting to warning module, display module and report
Table generation module.
Further, described PLC includes data comparison module, and described data comparison module is used for comparing sensor
Whether the data that the data that module currently gathers and a upper moment gather there are differences, the most then will be current by PLC
The data gathered are uploaded to data base by PLC gateway, do not deal with.
Further, described PLC includes clock signal module, for the number that will currently gather in PLC
According to being that data add timestamp in real time when being uploaded to data base by PLC gateway.
Further, described server also includes apparatus and process editor module, and described memory module is additionally coupled to equipment work
Skill editor module.
Further, described warning module includes training submodule and prediction submodule, and described training submodule is used for root
It is trained obtaining forecast model according to the normalization data in memory module, under described prediction submodule calculates according to prediction module
The sensor data predictive value in one moment, if sensor data predictive value is in non-normal range, sends early warning signal.
Further, described display module includes digital independent submodule and graphic hotsopt submodule, institute's digital independent
Module is for reading the data in memory module and timestamp, and described graphic hotsopt submodule generates post according to data and timestamp
Shape figure or Gantt chart.
Further, client is also included；Described server also includes client manager module, described warning module,
Display module and Reports module are all connected with client by client manager module.
Further, described client manager module includes user right control submodule and customer parameter controls submodule
Block, described user right controls submodule and is used for controlling user's access rights to server, and described customer parameter controls submodule
Block is for controlling the parameter type that user accesses.
The invention has the beneficial effects as follows: this system can connect multiple PLC by PLC gateway, enters multiple equipment
Row is monitored simultaneously；Simultaneously by the normalization of data and increase timestamp are made standard data format, it is simple in follow-up work
The early warning of server, display, report generation etc. process, and are allowed to much sooner and accurately；Additionally include client manager module,
Realize multiple equipment of different user are carried out parallel processing, ensure the safety of data simultaneously.
Accompanying drawing explanation
Fig. 1 is present system Organization Chart；
Fig. 2 is the concrete system architecture diagram of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawings the detailed description of the invention of the present invention is described further:
With reference to Fig. 2, a kind of equipment big data platform monitoring diagnosis system, include sensor assembly, PLC, PLC net
Pass, data base and server, described data base includes normalization module and memory module, and described sensor assembly passes sequentially through
PLC, PLC gateway, normalization module are connected to memory module, and described server includes warning module, display module
With report generation module, described memory module is respectively connecting to warning module, display module and report generation module.
Wherein sensor assembly and PLC are arranged on monitored equipment, and sensor assembly is for detecting equipment
The action duration of implementation state, such as automatic welding production line upper cylinder and air pressure, the action speed of grip robot
The parameters such as degree and angle.
With reference to Fig. 2, being further used as preferred embodiment, described PLC includes data comparison module, described
Whether the data that the data that data comparison module currently gathers for comparing sensor assembly and a upper moment gather there are differences,
The most then by PLC, the data currently gathered are uploaded to data base by PLC gateway, do not deal with.
Owing to native system server uses cloud server, being used for servicing multiple equipment, between equipment, data association is little,
Data volume is big, therefore uses data comparison module can be greatly enhanced data transmission effect by arq mode transmission data in difference
Rate.
With reference to Fig. 2, being further used as preferred embodiment, described PLC includes clock signal module, is used for
When the data currently gathered are uploaded to data base by PLC gateway by PLC, according to the clock week of clock signal module
Phase, add timestamp in real time for data.
With reference to Fig. 2, being further used as preferred embodiment, described server also includes apparatus and process editor module,
Described memory module is additionally coupled to apparatus and process editor module.
Described apparatus and process editor module is for revising artistic tree organizational structure corresponding to each equipment and title etc., and amendment is raw
Can be by the duty of server update warning module, display module etc. and content after effect.
With reference to Fig. 2, being further used as preferred embodiment, described warning module includes training submodule and prediction
Module, described training submodule is for being trained obtaining forecast model according to the normalization data in memory module, described pre-
Survey submodule and calculate the sensor data predictive value of subsequent time according to prediction module, if sensor data predictive value is in anon-normal
Often scope then sends early warning signal, and such as arranging non-normal range is: sensor data predictive value and sensor acquisition data
Standard value deviation is more than 30%.
With reference to Fig. 2, being further used as preferred embodiment, described display module includes digital independent submodule and figure
Shape generates submodule, and institute's digital independent submodule is for reading the data in memory module and timestamp, and described graphic hotsopt is sub
Module generates block diagram or Gantt chart according to data and timestamp.
Described display module can automatically select acquiescence display content according to equipment situation, it is possible to arranges specifically according to client
The parameter of display is generated figure in real time by graphic hotsopt submodule and shows.
Described warning module all uses the clock cycle identical with above-mentioned clock signal module to work with display module, it is ensured that
The frequency that rate of scanning gathers sensing data with PLC is identical, it is thus possible to corresponding to real-time display device duty
Figure, obtain prediction data and it carried out early warning in time.
With reference to Fig. 2, it is further used as preferred embodiment, also includes client；Described server also includes visitor
Family end management module, described warning module, display module and Reports module are all connected with client by client manager module.
Being further used as preferred embodiment, described apparatus and process editor is also by client manager module and client
Connect.
With reference to Fig. 2, being further used as preferred embodiment, described client manager module includes user right control
Submodule and customer parameter control submodule, and described user right controls submodule for controlling user's access right to server
Limit, for example whether there are the authorities such as the reading and writing of group structure belonging to amendment client, described customer parameter controls submodule and is used for controlling
The parameter type that user accesses, such as sensor parameters, form property parameters etc..
It is above the preferably enforcement of the present invention is illustrated, but the invention is not limited to described enforcement
Example, those of ordinary skill in the art can also make all equivalents on the premise of spirit of the present invention or replace
Changing, deformation or the replacement of these equivalents are all contained in the application claim limited range.
Claims (8)
1. an equipment big data platform monitoring diagnosis system, it is characterised in that: include sensor assembly, PLC,
PLC gateway, data base and server, described data base includes normalization module and memory module, and described sensor assembly depends on
Secondary being connected to memory module by PLC, PLC gateway, normalization module, described server includes warning module, aobvious
Showing module and report generation module, described memory module is respectively connecting to warning module, display module and report generation module.
Equipment the most according to claim 1 big data platform monitoring diagnosis system, it is characterised in that: described PLC
Included data comparison module, the data that described data comparison module currently gathers and a upper moment for comparing sensor assembly
Whether the data gathered there are differences, the most then the data currently gathered be uploaded to by PLC gateway by PLC
Data base, does not deals with.
Equipment the most according to claim 1 big data platform monitoring diagnosis system, it is characterised in that: described PLC
Include clock signal module, for when the data currently gathered are uploaded to data base by PLC gateway by PLC being
Data add timestamp in real time.
Equipment the most according to claim 1 big data platform monitoring diagnosis system, it is characterised in that: described server also wraps
Having included apparatus and process editor module, described memory module is additionally coupled to apparatus and process editor module.
Equipment the most according to claim 1 big data platform detection and diagnosis system, it is characterised in that: described warning module bag
Having included training submodule and prediction submodule, described training submodule is for instructing according to the normalization data in memory module
Getting forecast model, described prediction submodule calculates the sensor data predictive value of subsequent time according to prediction module, if passing
Sensor data prediction value is in non-normal range and then sends early warning signal.
Equipment the most according to claim 3 big data platform detection and diagnosis system, it is characterised in that: described display module bag
Included digital independent submodule and graphic hotsopt submodule, institute's digital independent submodule for read data in memory module and
Timestamp, described graphic hotsopt submodule generates block diagram or Gantt chart according to data and timestamp.
Equipment the most according to claim 1 big data platform detection and diagnosis system, it is characterised in that: also include client
End；Described server also includes client manager module, and described warning module, display module and Reports module all pass through client
End management module is connected with client.
Equipment the most according to claim 7 big data platform detection and diagnosis system, it is characterised in that: described client-side management
Module includes user right and controls submodule and customer parameter control submodule, and described user right controls submodule and is used for controlling
The user processed access rights to server, described customer parameter controls submodule for controlling the parameter type that user accesses.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610696844.3A CN106292591A (en) | 2016-08-20 | 2016-08-20 | A kind of equipment big data platform monitoring diagnosis system |
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| CN201610696844.3A CN106292591A (en) | 2016-08-20 | 2016-08-20 | A kind of equipment big data platform monitoring diagnosis system |
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| CN201610696844.3A Pending CN106292591A (en) | 2016-08-20 | 2016-08-20 | A kind of equipment big data platform monitoring diagnosis system |
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Cited By (4)
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| CN107222278A (en) * | 2017-04-21 | 2017-09-29 | 广州明珞汽车装备有限公司 | A kind of method for synchronizing time and system based on high speed data acquisition system |
| CN107276709A (en) * | 2017-04-21 | 2017-10-20 | 广州明珞汽车装备有限公司 | A kind of method for synchronizing time and system |
| CN108126987A (en) * | 2017-05-04 | 2018-06-08 | 汉威广园(广州)机械设备有限公司 | A kind of high-speed rod-rolling mill remote online monitoring and intelligent diagnosis system and method |
| CN110427297A (en) * | 2019-07-10 | 2019-11-08 | 西门子工厂自动化工程有限公司 | Diagnostic message acquisition methods, system and gateway and computer-readable medium |
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