CN204143226U - A kind of production line data acquisition system (DAS) - Google Patents
A kind of production line data acquisition system (DAS) Download PDFInfo
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- CN204143226U CN204143226U CN201320848821.1U CN201320848821U CN204143226U CN 204143226 U CN204143226 U CN 204143226U CN 201320848821 U CN201320848821 U CN 201320848821U CN 204143226 U CN204143226 U CN 204143226U
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 47
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 238000005266 casting Methods 0.000 claims description 2
- 238000003801 milling Methods 0.000 claims description 2
- 238000005245 sintering Methods 0.000 claims description 2
- 238000010205 computational analysis Methods 0.000 abstract description 4
- 238000000034 method Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 238000004886 process control Methods 0.000 description 3
- 238000013480 data collection Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- PWPJGUXAGUPAHP-UHFFFAOYSA-N lufenuron Chemical compound C1=C(Cl)C(OC(F)(F)C(C(F)(F)F)F)=CC(Cl)=C1NC(=O)NC(=O)C1=C(F)C=CC=C1F PWPJGUXAGUPAHP-UHFFFAOYSA-N 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012797 qualification Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000000712 assembly Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 238000004989 laser desorption mass spectroscopy Methods 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 230000000069 prophylactic effect Effects 0.000 description 1
- 239000000523 sample Substances 0.000 description 1
Classifications
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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]
-
- 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
- Y02P90/80—Management or planning
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- General Factory Administration (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The utility model discloses a kind of production line data acquisition system (DAS), described system comprises at least one sensor, at least one PLC and PI system, wherein, described sensor is positioned on production line, same production line there is the sensor of multiple difference in functionality, described PI system comprises PI interface message processor (IMP), PI server and PI client computer, described operational monitoring module is connected with described PLC, described PLC is connected with PI interface message processor (IMP), and described PI server is connected with described PI interface message processor (IMP) and described PI client computer respectively.The production line data acquisition system (DAS) that the utility model provides, can remote automatic acquisition monitor the service data of apparatus for production line, and the computational analysis for OEE provides foundation accurately.
Description
Technical field
The utility model relates to industrial control field, particularly relates to a kind of production line data acquisition system (DAS).
Background technology
In the industrial production, maintain high level and the high-level efficiency running of equipment and production, need to collect field data, the failure message of producing each link in time, by monitoring the service data of critical process, follow the tracks of and analyze controling parameters and the deviation of desired value, the trend of analytic process ability of the critical process of each operation in production run, find out the basic reason affecting critical process control data, fundamentally improve the quality of products, throughput rate.In prior art; the service data collection of critical process is completed by shop worker or data registrar; registrar is by the working condition of production equipment; wherein; comprising the craft such as stop time, fault-time, breakdown maintenance time is entered in all kinds of production reports preset, and then carries out overall device usefulness OEE statistical study by Excel, automated analysis software etc. to data.
In prior art, this hand-kept mode is a kind of burdens additionally for producers, and record often by virtue of experience to the various service data mean value records of equipment, even ignores of short duration equipment regulation time.The mode of this hand-kept, the data of record are easily subject to the impact of employee's subjective consciousness and produce deviation, affect the accuracy of follow-up OEE computational analysis.
Summary of the invention
A kind of production line data acquisition system (DAS) that the utility model provides, in order to solve the technical matters needing manual record production line service data.
The object of the utility model embodiment is achieved through the following technical solutions:
A kind of production line data acquisition system (DAS), described system comprises at least one sensor, at least one PLC and PI system, wherein, described sensor is positioned on production line, same production line has the sensor of multiple difference in functionality, described PI system comprises PI interface message processor (IMP), PI server and PI client computer, and described operational monitoring module is connected with described PLC, described PLC is connected with PI interface message processor (IMP), and described PI server is connected with described PI interface message processor (IMP) and described PI client computer respectively.
By the utility model discloses a kind of production line data acquisition system (DAS), described system comprises at least one sensor, at least one PLC and PI system, wherein, described sensor is positioned on production line, same production line there is the sensor of multiple difference in functionality, described PI system comprises PI interface message processor (IMP), PI server and PI client computer, described operational monitoring module is connected with described PLC, described PLC is connected with PI interface message processor (IMP), and described PI server is connected with described PI interface message processor (IMP) and described PI client computer respectively.The production line data acquisition system (DAS) that the utility model provides, can remote automatic acquisition monitor the service data of apparatus for production line, and the computational analysis for OEE provides foundation accurately.
Accompanying drawing explanation
In order to be illustrated more clearly in the utility model embodiment or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment below, apparently, accompanying drawing in the following describes is only embodiments more of the present utility model, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of production line data acquisition system (DAS) structural drawing provided in the utility model embodiment;
Fig. 2 is the another kind of production line data acquisition system (DAS) structural drawing provided in the utility model embodiment.
Embodiment
For enabling above-mentioned purpose of the present utility model, feature and advantage become apparent more, are described in further detail the utility model below in conjunction with the drawings and specific embodiments.
As a kind of production line data acquisition system (DAS) of Fig. 1 for providing in the utility model embodiment, described system comprises at least one sensor, at least one PLC and PI system, wherein, described sensor is positioned on production line, same production line there is the sensor of multiple difference in functionality, described PI system comprises PI interface message processor (IMP), PI server and PI client computer, described operational monitoring module and described PLC (Programmable Logic Controller, programmable logic controller (PLC)) connect, described PLC is connected with PI interface message processor (IMP), described PI server is connected with described PI interface message processor (IMP) and described PI client computer respectively.
Wherein, mainly comprise in PI system: PI server, PI client computer and PI interface message processor (IMP).PI server is used for collection and the storage of Field Production Data; PI client computer provides the secondary application in real time/historical data; PI interface message processor (IMP) realizes the connection of on-the-spot different control system and PI system.PI interface message processor (IMP) provides the standard interface of multiple different control system, comprises the standard interface of the products such as DCS, PLC and LIMS.There is provided distributed data acquisition, persistent data collection, and data buffer storage during communication failure.
Described sensor is mainly used in the following working condition of monitoring equipment, and same production line having the sensor of multiple difference in functionality, the sensor of difference in functionality can comprise the sensor of the sensor of detection milling train rotating speed, the sensor detecting casting machine pulling rate, the sensor of detection strip speed, the sensor detecting sintering machine machine speed, the sensor detecting pass speed and detection coil of strip speed for detecting the sensor producing line running status technological parameter.Different sensors can detect different device parameters, such as:
Device parameter can comprise:
(1) unit fault and the production time wasted
(2) thread-changing and debugging switching time
(3) the unscheduled shutdown time: mechanical disorder is stopped work or stop time beyond thread-changing and debugging
(3) speed probe, for detecting the time of unit running speed lower than production standard
(5) product the it is determined that the presence of mass defect duration of runs through quality inspection is produced
(6) duration of runs of production phase
For (1), and the measurement of (3) (2), can by judging that the speed that sensor is measured is 0 time, combine the out of Memory producing line again to determine further (1), or (3) (2), when being 0 as measured speed when sensor, can judge that unit stops, the reason stopped is likely because unit fault, also be likely because thread-changing and debugging, unit prophylactic repair etc., and unit shutdown under normal circumstances, as thread-changing, debugging, maintenance etc., all have accounting logging, in conjunction with the record on form, (2) thread-changing can be determined further and debug switching time, for (3) unscheduled shutdown time, can calculate further by maintainer and on-the-spot checking.(5) production product be it is determined that the presence of to the measurement of the duration of runs of mass defect through quality inspection, can be detected by sensor, speed is lower than the time of production standard; (6) measurement of the duration of runs of production phase, can be detected by sensor, and speed reaches the time of production standard.
Based on above six measurement data, the overall device usefulness OEE numerical value of production line can be calculated, such as: overall device usefulness (OEE)=utilization factor × effectiveness of performance × qualification rate, wherein, utilization factor=duration of runs/duration of load application, effectiveness of performance=actual run time/working time, between qualification rate=effective run time/actual motion.
Sensor described in practical application is the sensor of a series of difference in functionality, achieve the detection of multiple device parameter, and these device parameters may be used for the assessment of overall device usefulness (OEE).
By the utility model discloses a kind of production line data acquisition system (DAS), described system comprises at least one sensor, at least one PLC and PI system, wherein, described sensor is positioned on production line, same production line there is the sensor of multiple difference in functionality, described PI system comprises PI interface message processor (IMP), PI server and PI client computer, described operational monitoring module is connected with described PLC, described PLC is connected with PI interface message processor (IMP), and described PI server is connected with described PI interface message processor (IMP) and described PI client computer respectively.The production line data acquisition system (DAS) that the utility model provides, can remote automatic acquisition monitor the service data of apparatus for production line, and the computational analysis for OEE provides foundation accurately.
Multiple PLC is connected by bus with described sensor, and described bus comprises RS485 bus or CAN or MODBUS bus or PROFIBUS bus.
Described system can also comprise OPC (OLE for Process Control, the OLE for process control) server, and described opc server is connected with described PLC.Correspondingly, can also comprise OPC client computer, OPC client computer may have access to the data on opc server.
Described system can also comprise DDE (Dynamic Data Exchange, Dynamic cata exchange) server, and described DDE server is connected with described PLC.Correspondingly, DDE client computer can also be comprised, DDE client computer may have access to the data on DDE server, wherein, DDE server is the PC being provided with service routine, DDE client computer is the PC being provided with CLIENT PROGRAM, and also service routine and CLIENT PROGRAM can be arranged on same PC, such PC can as DDE server and DDE client computer.
In order to each data acquisition equipment in system is connected into an interconnection and interflow network, the interconnection of Ethernet can be set up, as shown in Figure 2, Ethernet switch is introduced in described system, described PI server is connected with described Ethernet switch, and described opc server and/or described DDE server are connected with described Ethernet switch.
In order to carry out comprehensive analysis to the data of data acquisition equipment collection, as shown in Figure 2, introduce dynamic tracing subsystem in described system, dynamic tracing subsystem is connected by Ethernet switch and data acquisition equipment.Dynamic tracing subsystem utilizes the time real collection of on-the-spot critical data, judged by data assemblies, the condition of production of each technique unit and key link on reflection production line, whether real-time display is produced and is normally run, and carries out overall device usefulness OEE statistical study by automated analysis software etc. to data.
Be understandable that, the system architecture shown in figure does not form the restriction to system, can comprise the equipment more more or less than diagram, or combine some equipment, or different deployed with devices.、
Above; be only embodiment of the present utility model; but protection domain of the present utility model is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the utility model discloses; change can be expected easily or replace, all should be encompassed within protection domain of the present utility model.Therefore, protection domain of the present utility model should be as the criterion with the protection domain of claim.
Claims (5)
1. a production line data acquisition system (DAS), it is characterized in that, described system comprises at least one sensor, at least one PLC and PI system, wherein, described sensor is positioned on production line, same production line there is the sensor of multiple difference in functionality, described PI system comprises PI interface message processor (IMP), PI server and PI client computer, operational monitoring module is connected with described PLC, described PLC is connected with PI interface message processor (IMP), described PI server is connected with described PI interface message processor (IMP) and described PI client computer respectively, the sensor of described multiple difference in functionality comprises the sensor detecting milling train rotating speed, detect the sensor of casting machine pulling rate, detect the sensor of strip speed, detect the sensor of sintering machine machine speed, detect the sensor of pass speed and detect the sensor of coil of strip speed.
2. system according to claim 1, is characterized in that, described PLC is connected by bus with described sensor, and described bus comprises RS485 bus or CAN or MODBUS bus or PROFIBUS bus.
3. system as claimed in any of claims 1 to 2, is characterized in that, described system also comprises opc server, and described opc server is connected with described PLC.
4. system according to claim 3, is characterized in that, described system also comprises DDE server, and described DDE server is connected with described PLC.
5. system according to claim 4, is characterized in that, described system also comprises Ethernet switch, and wherein, described PI server is connected with described Ethernet switch, and described opc server and/or described DDE server are connected with described Ethernet switch.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320848821.1U CN204143226U (en) | 2013-12-20 | 2013-12-20 | A kind of production line data acquisition system (DAS) |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201320848821.1U CN204143226U (en) | 2013-12-20 | 2013-12-20 | A kind of production line data acquisition system (DAS) |
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| CN204143226U true CN204143226U (en) | 2015-02-04 |
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| CN201320848821.1U Expired - Lifetime CN204143226U (en) | 2013-12-20 | 2013-12-20 | A kind of production line data acquisition system (DAS) |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105328536A (en) * | 2015-11-04 | 2016-02-17 | 中国兵器科学研究院宁波分院 | Control systems for vacuum ion beam polishing machine and communication method of control systems |
| CN106094756A (en) * | 2016-07-14 | 2016-11-09 | 辽宁工业大学 | A kind of Rhizoma Dioscoreae powder industrial production line monitoring system based on CAN and fuzzy control method |
| CN107548475A (en) * | 2015-03-27 | 2018-01-05 | 布勒有限公司 | Adaptive striding equipment control and steerable system and its corresponding method |
| WO2019147765A1 (en) * | 2018-01-24 | 2019-08-01 | Saudi Arabian Oil Company | Integrated alarm management system (alms) kpis with plant information system |
| CN110109431A (en) * | 2019-05-07 | 2019-08-09 | 重庆大学 | A kind of die casting machine OEE Information Intelligent Extraction system |
| CN110580013A (en) * | 2018-06-11 | 2019-12-17 | 联合汽车电子有限公司 | Production line on-line management system |
| CN111175064A (en) * | 2020-01-20 | 2020-05-19 | 浙江智昌机器人科技有限公司 | Detection method for calculating equipment capacity by collecting equipment noise |
| CN114527717A (en) * | 2022-02-25 | 2022-05-24 | 苏州盛虹数云科技有限公司 | Chemical safety production early warning system and safety early warning method thereof |
-
2013
- 2013-12-20 CN CN201320848821.1U patent/CN204143226U/en not_active Expired - Lifetime
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107548475A (en) * | 2015-03-27 | 2018-01-05 | 布勒有限公司 | Adaptive striding equipment control and steerable system and its corresponding method |
| CN107548475B (en) * | 2015-03-27 | 2020-04-14 | 布勒有限公司 | Adaptive cross-device control and manipulation system and corresponding method |
| CN105328536A (en) * | 2015-11-04 | 2016-02-17 | 中国兵器科学研究院宁波分院 | Control systems for vacuum ion beam polishing machine and communication method of control systems |
| CN106094756A (en) * | 2016-07-14 | 2016-11-09 | 辽宁工业大学 | A kind of Rhizoma Dioscoreae powder industrial production line monitoring system based on CAN and fuzzy control method |
| CN106094756B (en) * | 2016-07-14 | 2018-06-15 | 辽宁工业大学 | A kind of yam flour industrial production line monitoring system and fuzzy control method based on CAN bus |
| WO2019147765A1 (en) * | 2018-01-24 | 2019-08-01 | Saudi Arabian Oil Company | Integrated alarm management system (alms) kpis with plant information system |
| CN111670416A (en) * | 2018-01-24 | 2020-09-15 | 沙特阿拉伯石油公司 | Alarm management system (ALMS) KPI integrated with plant information system |
| CN110580013A (en) * | 2018-06-11 | 2019-12-17 | 联合汽车电子有限公司 | Production line on-line management system |
| CN110109431A (en) * | 2019-05-07 | 2019-08-09 | 重庆大学 | A kind of die casting machine OEE Information Intelligent Extraction system |
| CN111175064A (en) * | 2020-01-20 | 2020-05-19 | 浙江智昌机器人科技有限公司 | Detection method for calculating equipment capacity by collecting equipment noise |
| CN114527717A (en) * | 2022-02-25 | 2022-05-24 | 苏州盛虹数云科技有限公司 | Chemical safety production early warning system and safety early warning method thereof |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20170106 Address after: 430070 Hubei Province, Hongshan District, East Lake hi tech Zone, No. 16, No. Patentee after: WUHAN IRON AND STEEL ENGINEERING TECHNOLOGY GROUP CO.,LTD. Address before: 430080 Friendship Avenue, Hubei, Wuhan, No. 999 Patentee before: WUHAN IRON AND STEEL (GROUP) Corp. Patentee before: WUHAN IRON AND STEEL ENGINEERING TECHNOLOGY GROUP CO.,LTD. |
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| CP03 | Change of name, title or address |
Address after: 430084 floor 15-22, building 4, Wuhan International Steel Logistics Service Center (Ganggu), Qingshan Town, Qingshan District, Wuhan City, Hubei Province Patentee after: Baoxin software (Wuhan) Co.,Ltd. Address before: 430070 Hubei Province, Hongshan District, East Lake hi tech Zone, No. 16, No. Patentee before: WUHAN IRON AND STEEL ENGINEERING TECHNOLOGY GROUP CO.,LTD. |
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| CP03 | Change of name, title or address | ||
| CX01 | Expiry of patent term |
Granted publication date: 20150204 |
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| CX01 | Expiry of patent term |