CN112799360A - Quality data monitoring and early warning system - Google Patents

Quality data monitoring and early warning system Download PDF

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Publication number
CN112799360A
CN112799360A CN202011622012.XA CN202011622012A CN112799360A CN 112799360 A CN112799360 A CN 112799360A CN 202011622012 A CN202011622012 A CN 202011622012A CN 112799360 A CN112799360 A CN 112799360A
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China
Prior art keywords
data
early warning
quality
warning system
monitoring
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CN202011622012.XA
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Chinese (zh)
Inventor
杨超林
林观生
庹鹏
黄云飞
缪志桥
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SAIC GM Wuling Automobile Co Ltd
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SAIC GM Wuling Automobile Co Ltd
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Priority to CN202011622012.XA priority Critical patent/CN112799360A/en
Publication of CN112799360A publication Critical patent/CN112799360A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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]
    • G05B19/41875Total 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 quality surveillance of production
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32368Quality control
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Factory Administration (AREA)

Abstract

The invention relates to a quality data monitoring and early warning system. The intrinsic quality data monitoring and early warning system comprises a data acquisition system, a data transmission system, a data storage system, a data extraction system, an early warning system, a visual system, a responsible person receiving system and a disposal system. The quality data monitoring and early warning system integrates various technologies such as a database, communication and visualization, can effectively realize real-time automatic extraction of quality characteristic data and result notification, is constructed in a modularized mode, develops a modularized data anomaly analysis flow based on a pipeline-filter type framework, and realizes automatic data extraction, data analysis, anomaly classification, visualization and result notification. And the quality characteristic library and the judgment model can be adjusted in time as required to adapt to different situations on site, and the system has high flexibility and operability.

Description

Quality data monitoring and early warning system
Technical Field
The invention relates to the technical field of online product quality monitoring, in particular to a quality data monitoring and early warning system.
Background
In the online production process of the engine, a measurement system can measure various quality characteristic parameters and upload data to a database, an engineer periodically reviews the measurement data, or data is called to find abnormal points when problems are solved, the process needs to automatically call the measurement data through Q-DAS software for data analysis, and in the monitoring system, the abnormal data are often found only after periodic review or problems occur, so that mass quality accidents are easily caused; meanwhile, due to the fact that the quality characteristics are large, an abnormal information database is lacked, the whole situation of the occurrence of the abnormality is difficult to master, the coverage of data with quality risks which are not controlled and regularly reviewed is insufficient, and high quality risks exist; in addition, the data analysis workload is large, the features can be extracted and analyzed one by one, the labor cost is increased, limitation exists in abnormal data identification based on manual work, and the misjudgment or omission probability is high.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the quality data monitoring and early warning system can effectively realize real-time automatic extraction and result notification of quality characteristic data.
The intrinsic quality data monitoring and early warning system comprises a data acquisition system, a data transmission system, a data storage system, a data extraction system, an early warning system, a visual system, a responsible person receiving system and a disposal system, wherein,
the data acquisition system is used for acquiring various quality characteristic parameters of the products on the line; the data transmission system is used for summarizing and transmitting the quality characteristic parameters acquired by the data acquisition system to the data storage system; the data storage system is used for receiving and storing the quality characteristic parameters and the standard data transmitted by the data transmission system; the data extraction system is used for extracting quality characteristic parameters and corresponding standard parameter data stored in the data storage system; the early warning system is used for comparing the quality characteristic parameters extracted by the data extraction system with corresponding standard data, judging whether the quality is abnormal or not according to the comparison result, and simultaneously sending the judgment result to the visual system in a single way or sending abnormal quality data information to the visual system and the responsible person receiving system in a double way; the visual system is used for receiving the judgment result or the abnormal quality data information sent by the early warning system; the responsible person receiving system is used for receiving the abnormal quality data information sent by the early warning system;
and the disposal system is used for receiving the processing result sent by the responsible person receiving system and relieving the early warning of the early warning system.
Specifically, the data acquisition system comprises online and offline detection equipment for detecting various quality parameters of the product and generating data. The detection equipment comprises one or more of size measurement, weight weighing, hole site detection, finish degree detection, 3D form scanning and the like, and further comprises an AD converter for converting a detection result into a digital signal from a weak current signal.
Specifically, the data transmission system adopts an ethernet wired local area network, or a wireless local area network based on Zigbee/Lora/Nbiot technology, or a combination of wired and wireless networks.
Specifically, the data storage system comprises a database for storing standard parameter data, a hard disk for storing quality characteristic parameters and a server connected with the data extraction system.
Specifically, the method comprises the following steps: the early warning system comprises a comparison module used for comparing the quality characteristic parameters extracted by the data extraction system with corresponding standard data, an evaluation module used for judging whether the comparison result is abnormal or not, and a wireless transceiving module used for sending the judgment result to the visual system and the responsible person receiving system and receiving the processing result of the disposal system. The early warning system also comprises an audible and visual alarm for prompting the generation and the stop of the alarm.
Specifically, the visual system adopts large-screen display equipment. The large-screen display device is a display.
Specifically, the responsible person receiving system adopts mobile terminal equipment. The mobile terminal equipment is a mobile phone, a tablet computer or other mobile terminals.
Specifically, the treatment system comprises a wireless transceiver module for sending a processing result to the early warning system, and a storage module for recording processing time and abnormal code data.
Specifically, the data acquisition system, the visual system and the disposal system are arranged on a front-end production line, and the data storage system, the data extraction system and the early warning system are arranged in a rear-end control center.
The quality data monitoring and early warning system integrates various technologies such as database, communication and visualization, can effectively realize real-time automatic extraction of quality characteristic data and result notification, is constructed in a modularized mode, develops a modularized data anomaly analysis flow based on a pipeline-filter type framework, and realizes automatic data extraction, data analysis, anomaly classification, visualization and result notification. And the quality characteristic library and the judgment model can be adjusted in time as required to adapt to different situations on site, and the system has high flexibility and operability.
Drawings
The following describes a quality data monitoring and early warning system according to the present invention with reference to the accompanying drawings:
FIG. 1 is a system wiring diagram of an intrinsic data monitoring and forewarning system;
FIG. 2 is a logic flow diagram of the operation of an intrinsic data monitoring and forewarning system.
In the figure:
the system comprises a data acquisition system, a data transmission system 2, a data storage system 3, a data extraction system 4, an early warning system 5, a visual system 6, a responsible person receiving system 7 and a disposal system 8.
Detailed Description
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, it is to be understood that the terms "left", "right", "front", "back", "top", "bottom", "inner", "outer", etc., indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
The technical solution of the present invention is further described by the following specific examples, but the scope of the present invention is not limited to the following examples.
Embodiment 1: as shown in fig. 1, the intrinsic data monitoring and early warning system includes an intrinsic data monitoring and early warning system including a data acquisition system 1, a data transmission system 2, a data storage system 3, a data extraction system 4, an early warning system 5, a visual system 6, a responsible person receiving system 7, and a disposal system 8, where the data acquisition system 1 is used to acquire various quality characteristic parameters of products on a line; the data transmission system 2 is used for summarizing and transmitting the quality characteristic parameters acquired by the data acquisition system 1 to the data storage system 3; the data storage system 3 is used for receiving and storing the quality characteristic parameters and the standard data transmitted by the data transmission system 2; the data extraction system 4 is used for extracting the quality characteristic parameters and the corresponding standard parameter data stored in the data storage system 3; the early warning system 5 is used for comparing the quality characteristic parameters extracted by the data extraction system 4 with corresponding standard data, judging whether the quality is abnormal or not according to the comparison result, and simultaneously sending the judgment result to the visual system 6 in a single way or sending abnormal quality data information to the visual system 6 and the responsible person receiving system 7 in a double way; the visual system 6 is used for receiving the judgment result or the abnormal quality data information sent by the early warning system 5; the responsible person receiving system 7 is used for receiving the abnormal quality data information sent by the early warning system 5; and the disposal system 8 is used for receiving the processing result sent by the responsible person receiving system 7 and relieving the early warning of the early warning system 5.
Embodiment 2: the data acquisition system 1 comprises a line side and a line side detection device which are used for detecting various quality parameters of products and generating data. The detection equipment comprises one or more of size measurement, weight weighing, hole site detection, finish degree detection, 3D form scanning and the like, and further comprises an AD converter for converting a detection result into a digital signal from a weak current signal. The data transmission system 2 adopts an ethernet wired local area network, or a wireless local area network based on Zigbee/Lora/Nbiot technology, or a combination of wired and wireless networks. The data storage system 3 comprises a database for storing standard parameter data, a hard disk for storing quality characteristic parameters and a server for connecting with the data extraction system 4. The early warning system 5 comprises a comparison module for comparing the quality characteristic parameters extracted by the data extraction system 4 with corresponding standard data, an evaluation module for judging whether the comparison result is abnormal, and a wireless transceiver module for sending the judgment result to the visual system 6 and the responsible person receiving system 7 and receiving the processing result of the disposal system 8. The early warning system also comprises an audible and visual alarm for prompting the generation and the stop of the alarm. The vision system 6 employs a large screen display device. The large-screen display device is a display. The responsible person receiving system 7 adopts mobile terminal equipment. The mobile terminal equipment is a mobile phone, a tablet computer or other mobile terminals. The treatment system 8 comprises a wireless transceiver module for sending the processing result to the early warning system 5, and a storage module for recording the processing time and the abnormal code data. The data acquisition system 1, the visual system 6 and the disposal system 8 are arranged on a front-end production line, and the data storage system 3, the data extraction system 4 and the early warning system 5 are arranged in a rear-end control center. The remaining structure and components are as described in embodiment 1, and the description will not be repeated.
Embodiment 3: the data acquisition system 1, the visual system 6 and the disposal system 8 of the intrinsic quantity data monitoring and early warning system are arranged on a front-end production line, and the data storage system 3, the data extraction system 4 and the early warning system 5 are arranged in a rear-end control center. The remaining structure and components are as described in embodiment 1, and the description will not be repeated.
And (3) running: as shown in fig. 2, the system firstly collects relevant quality data by a data collection system, the system mainly comprises various online and offline detection devices capable of collecting data, the data is transmitted to a data storage system by a data transmission system after the data collection, and the storage system comprises a database, a hard disk, a server and the like; and then the data extraction system extracts the relevant quality data characteristics, and the early warning system judges whether the abnormal condition exists or not according to the extracted data, if the abnormal condition does not exist, the result is directly displayed on a visual system on the spot so as to display the current quality state. When the result is abnormal, the abnormal quality data information can be simultaneously reflected by the two systems, namely the field visual system and the responsible person receiving system, field personnel and related responsible persons are reminded to timely process the reasons for the abnormal quality data, and then the processing result is fed back in the processing system to relieve the abnormal quality early warning and recover to a normal state.
The quality data monitoring and early warning system integrates various technologies such as a database, communication and visualization, can effectively realize real-time automatic extraction of quality characteristic data and result notification, is constructed in a modularized mode, develops a modularized data anomaly analysis flow based on a pipeline-filter type framework, and realizes automatic data extraction, data analysis, anomaly classification, visualization and result notification. And the quality characteristic library and the judgment model can be adjusted in time as required to adapt to different situations on site, and the system has high flexibility and operability.
The foregoing description illustrates the principal features, rationale, and advantages of the invention. It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments or examples, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The foregoing embodiments or examples are therefore to be considered in all respects illustrative and not restrictive. The scope of the invention is indicated by the appended claims rather than by the foregoing description, and all changes that come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (9)

1. A quality data monitoring and early warning system is characterized in that: comprises a data acquisition system (1), a data transmission system (2), a data storage system (3), a data extraction system (4), an early warning system (5), a visual system (6), a responsible person receiving system (7) and a disposal system (8),
the data acquisition system (1) is used for acquiring various quality characteristic parameters of products on the line;
the data transmission system (2) is used for summarizing and transmitting the quality characteristic parameters acquired by the data acquisition system (1) to the data storage system (3);
the data storage system (3) is used for receiving and storing the quality characteristic parameters and the standard data transmitted by the data transmission system (2);
the data extraction system (4) is used for extracting quality characteristic parameters and corresponding standard parameter data stored in the data storage system (3);
the early warning system (5) is used for comparing the quality characteristic parameters extracted by the data extraction system (4) with corresponding standard data, judging whether the quality is abnormal or not according to the comparison result, and simultaneously sending the judgment result to the visual system (6) in a single way or sending abnormal quality data information to the visual system (6) and the responsible person receiving system (7) in a double way;
the visual system (6) is used for receiving the judgment result or the abnormal quality data information sent by the early warning system (5);
the responsible person receiving system (7) is used for receiving the abnormal quality data information sent by the early warning system (5);
and the disposal system (8) is used for receiving the processing result sent by the responsible person receiving system (7) and relieving the early warning of the early warning system (5).
2. The quality data monitoring and early warning system of claim 1, wherein: the data acquisition system (1) comprises online and offline detection equipment for detecting various quality parameters of products and generating data.
3. The quality data monitoring and early warning system of claim 1, wherein: the data transmission system (2) adopts an Ethernet wired local area network, or a wireless local area network based on Zigbee/Lora/Nbiol technology, or a combination of wired and wireless networks.
4. The quality data monitoring and early warning system of claim 1, wherein: the data storage system (3) comprises a database for storing standard parameter data, a hard disk for storing quality characteristic parameters and a server for connecting with the data extraction system (4).
5. The quality data monitoring and early warning system of claim 1, wherein: the early warning system (5) comprises a comparison module for comparing the quality characteristic parameters extracted by the data extraction system (4) with corresponding standard data, an evaluation module for judging whether the comparison result is abnormal or not, and a wireless transceiving module for sending the judgment result to the visual system (6) and the responsible person receiving system (7) and receiving the processing result of the disposal system (8).
6. The quality data monitoring and early warning system of claim 1, wherein: the visual system (6) adopts large-screen display equipment.
7. The quality data monitoring and early warning system of claim 1, wherein: the responsible person receiving system (7) adopts mobile terminal equipment.
8. The quality data monitoring and early warning system of claim 1, wherein: the treatment system (8) comprises a wireless transceiver module for transmitting the processing result to the early warning system (5) and a storage module for recording the processing time and the abnormal code data.
9. The quality data monitoring and early warning system of claim 1, wherein: the data acquisition system (1), the visual system (6) and the disposal system (8) are arranged on a front-end production line, and the data storage system (3), the data extraction system (4) and the early warning system (5) are arranged in a rear-end control center.
CN202011622012.XA 2020-12-31 2020-12-31 Quality data monitoring and early warning system Pending CN112799360A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104765322A (en) * 2014-01-02 2015-07-08 齐齐哈尔轨道交通装备有限责任公司 Production line monitoring system
CN105654253A (en) * 2016-03-14 2016-06-08 福州丹诺西诚电子科技有限公司 Production management method and system
CN107767024A (en) * 2017-09-20 2018-03-06 彩虹集团(邵阳)特种玻璃有限公司 One kind is used for cover-plate glass product of production line quality real-time monitoring system and method
CN207232665U (en) * 2017-09-27 2018-04-13 连云港杰瑞深软科技有限公司 A kind of intelligence control system of flexible pipe machining production line
CN108319232A (en) * 2017-12-22 2018-07-24 甘肃银光聚银化工有限公司 A kind of process abnormality alarm of consecutive production and processing system
CN109062165A (en) * 2018-08-30 2018-12-21 东莞广宇精密电子有限公司 A kind of production line data monitoring analysis system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104765322A (en) * 2014-01-02 2015-07-08 齐齐哈尔轨道交通装备有限责任公司 Production line monitoring system
CN105654253A (en) * 2016-03-14 2016-06-08 福州丹诺西诚电子科技有限公司 Production management method and system
CN107767024A (en) * 2017-09-20 2018-03-06 彩虹集团(邵阳)特种玻璃有限公司 One kind is used for cover-plate glass product of production line quality real-time monitoring system and method
CN207232665U (en) * 2017-09-27 2018-04-13 连云港杰瑞深软科技有限公司 A kind of intelligence control system of flexible pipe machining production line
CN108319232A (en) * 2017-12-22 2018-07-24 甘肃银光聚银化工有限公司 A kind of process abnormality alarm of consecutive production and processing system
CN109062165A (en) * 2018-08-30 2018-12-21 东莞广宇精密电子有限公司 A kind of production line data monitoring analysis system

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