CN102393698A - Running state monitoring system for large-scale equipment and control method for fault diagnosis thereof - Google Patents
Running state monitoring system for large-scale equipment and control method for fault diagnosis thereof Download PDFInfo
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- CN102393698A CN102393698A CN2011102990182A CN201110299018A CN102393698A CN 102393698 A CN102393698 A CN 102393698A CN 2011102990182 A CN2011102990182 A CN 2011102990182A CN 201110299018 A CN201110299018 A CN 201110299018A CN 102393698 A CN102393698 A CN 102393698A
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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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Abstract
The invention provides a running state monitoring system for large-scale equipment and a control method for fault diagnosis thereof, and belongs to the technical field of large-scale electrical equipment running monitoring. The system comprises a detection sensor, a lower computer, an upper computer and a sever which are sequentially connected together. The running state monitoring system provided by the invention can monitor the variation trend of running state parameters of a system in real time and can also find problems generated during the equipment running process as soon as possible according to the data monitored in real-time by adopting an SPC (Statistic Process Control) data statistical analysis method, thus playing roles of prediction and alarming.
Description
Technical field
The present invention relates to the control method of a kind of main equipment operating state monitoring system and fault diagnosis, belong to large electric equipment operation monitoring technique field.
Background technology
Along with the development of the industrial automatic technology of modernization, large industry equipment mostly adopts automated manner to start.But in equipment running process, because the requirement of some production technology does not allow production equipment to cut off the power supply without reason.For this reason, need a kind of device or system in real time monitoring equipment running status and can according to the parameters of equipment operation in real time the discriminatory analysis system have the possibility of fault.
Summary of the invention
To above-mentioned situation, the present invention proposes the control method of a kind of main equipment operating state monitoring system and fault diagnosis.
The present invention adopts following technical scheme for solving its technical matters:
A kind of main equipment operating state monitoring system comprises and detecting with sensor, slave computer, host computer and server, detects to be connected with sensor, slave computer and host computer and sequence server.
A kind of control method of fault diagnosis of main equipment operating state monitoring system may further comprise the steps:
(1) through detecting with sensor correlation parameter voltage, electric current, vibratory output; And utilize the parameters value of current device operation the mode of Mo Dikang agreement communication to be uploaded to slave computer; Through the ethernet communication between slave computer and the host computer, realize transmission, the storage of data;
(2) data of by host computer equipment operation being noted are carried out the analysis of SPC rule, if data symbols is arranged should rule is reported to the police, are delivered to warning message on the relevant personnel's the mobile phone or in the mailbox.
Beneficial effect of the present invention is following: the variation tendency of each parameter of supervisory control system running state in real time; The problem that the method for the The data SPC data statistic analysis that more mainly can obtain through real-time monitoring occurs in the discovering device operational process as soon as possible; Can play the effect of prediction and alarm; Avoid because the machinery and equipment fault causes great economic loss etc.; For equipment management personnel provides convenience, and provide convenience, improved the efficient of system's operation for the ahead relieving of equipment failure.
Description of drawings
Fig. 1 system construction drawing.
Fig. 2 equipment real-time running data SPC analyzes.
Fig. 3 device history data SPC analyzes.
Embodiment
Below in conjunction with accompanying drawing the invention is explained further details.
This system comprises a plurality of parameter measurement equipments (detect and use sensor), slave computer (controller), host computer (computing machine), server (database).The structure of its system is formed as shown in Figure 1.
Among Fig. 1, host computer generally adopts industrial computer, and industrial control configuration software (, KingView refreshed such as the Kunlun, Beijing, Siemens Wincc software etc.) is housed, and slave computer generally adopts Programmable Logic Controller (PLC) to realize as controller usefulness.In this system; After the main equipment operation; Detect the correlation parameter parameter of emphasis reflection equipment working state (can) through parameter measurement equipment; And utilize the parameters value of current device operation the mode of Mo Dikang agreement (Modbus) communication to be uploaded to controller, through the ethernet communication between controller and the host computer, realize transmission, the storage of data.Utilize host computer industrial control configuration software to realize that the state of data shows and trend analysis then.
Owing to merely data are carried out the state (normal still unusual) that trend shows the operation of judgement system more exactly early.For this reason; On the basis of this industrial control configuration software, embedded the statistics process control method (Statistic Process Control) that product quality detects; Generate SPC figure and unusual form, thereby scientifically distinguish the normal fluctuation and the unusual fluctuations of equipment in the production run.The flow process of data analysis in the time of in fact (perhaps fault diagnosis) is as shown in Figure 2.At first the difference according to device type sets the rule that SPC judges; Carry out the initialization of parameter of regularity then; And set device parameter title that the parameter that will judge in real time always counts and select to judge, parameter central value, variance yields etc.; At last carry out the SPC rule and judge, handle receive the data of coming from slave computer, carry out the demonstration, transmission etc. of drafting and warning message of the SPC rule schema of parameter by host computer.Finish the real-time regular determination flow of SPC when judging always to count after reaching setting value.
Simultaneously can also carry out analyses and prediction early, let equipment management personnel in time adjust and repair apparatus, thereby can avoid the generation of accident according to this analysis result according to institute's stored history behind the equipment operation in the past through the SPC Algorithm Analysis.The flow process that its historical data SPC analyzes is as shown in Figure 3.At first according to the difference of device type set the rule that SPC judges (such as: 1 point is apart from K standard deviation of distance center line; The K point is in center line the same side continuously; Continuous K point all increases progressively or all successively decreases; K2 point drops on beyond 2 σ of center line the same side in continuous k1 the point; 1 σ that continuously the k2 point drops on center line the same side in the k1 point in addition etc.); Carry out the initialization of parameter of regularity then; And set the device parameter title that you will select to judge, the time period of parameter storage etc.; Read from server at last and meet the data that change the time period and carry out the SPC rule one by one and judge, handle by host computer, thus the SPC rule schema of rendering parameter and demonstration and transmit warning message etc.
System not only can realize that the real-time tendency of equipment operation parameter shows; Can also carry out the SPC statistical study to history and real-time data, and can send to the relevant device managerial personnel to the title of the time of breaking down, equipment and the classification that breaks down according to the mode of mail.
Claims (2)
1. a main equipment operating state monitoring system is characterized in that comprising and detects with sensor, slave computer, host computer and server, detects to be connected with sensor, slave computer and host computer and sequence server.
2. the control method of the fault diagnosis of a main equipment operating state monitoring system is characterized in that may further comprise the steps:
(1) through detecting with sensor correlation parameter voltage, electric current, vibratory output; And utilize the parameters value of current device operation the mode of Mo Dikang agreement communication to be uploaded to slave computer; Through the ethernet communication between slave computer and the host computer, realize transmission, the storage of data;
(2) data of by host computer equipment operation being noted are carried out the analysis of SPC rule, if data symbols is arranged should rule is reported to the police, are delivered to warning message on the relevant personnel's the mobile phone or in the mailbox.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011102990182A CN102393698A (en) | 2011-09-29 | 2011-09-29 | Running state monitoring system for large-scale equipment and control method for fault diagnosis thereof |
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| CN2011102990182A CN102393698A (en) | 2011-09-29 | 2011-09-29 | Running state monitoring system for large-scale equipment and control method for fault diagnosis thereof |
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| CN102393698A true CN102393698A (en) | 2012-03-28 |
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| CN2011102990182A Pending CN102393698A (en) | 2011-09-29 | 2011-09-29 | Running state monitoring system for large-scale equipment and control method for fault diagnosis thereof |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104571099A (en) * | 2015-01-26 | 2015-04-29 | 北京国能日新***控制技术有限公司 | Photovoltaic fault diagnosis system and method based on theoretical calculation and data analysis |
| CN107479474A (en) * | 2017-09-22 | 2017-12-15 | 重庆鲁班机器人技术研究院有限公司 | Industrial robot quality evaluating method and device |
| CN110175816A (en) * | 2019-05-09 | 2019-08-27 | 江苏南高智能装备创新中心有限公司 | A kind of industrial equipment management system based on mobile terminal app |
| CN112965448A (en) * | 2021-02-01 | 2021-06-15 | 青岛黄海学院 | Electric automatization management control system and device |
| CN115826563A (en) * | 2022-12-30 | 2023-03-21 | 江西方兴科技股份有限公司 | Remote fault monitoring system and method based on PLC cabinet |
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| CN1604088A (en) * | 2004-11-17 | 2005-04-06 | 浙江大学 | Fault collection and detection apparatus and method |
| CN101523316A (en) * | 2006-10-11 | 2009-09-02 | 费舍-柔斯芒特***股份有限公司 | Method and system for detecting faults in a process plant |
| CN101561356A (en) * | 2008-12-22 | 2009-10-21 | 长安大学 | Civil engineering structural remote health monitoring system |
| CN101951407A (en) * | 2010-09-27 | 2011-01-19 | 长沙重型机器制造有限责任公司 | Teletransmission type intelligent bus communicator |
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2011
- 2011-09-29 CN CN2011102990182A patent/CN102393698A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1604088A (en) * | 2004-11-17 | 2005-04-06 | 浙江大学 | Fault collection and detection apparatus and method |
| CN101523316A (en) * | 2006-10-11 | 2009-09-02 | 费舍-柔斯芒特***股份有限公司 | Method and system for detecting faults in a process plant |
| CN101561356A (en) * | 2008-12-22 | 2009-10-21 | 长安大学 | Civil engineering structural remote health monitoring system |
| CN101951407A (en) * | 2010-09-27 | 2011-01-19 | 长沙重型机器制造有限责任公司 | Teletransmission type intelligent bus communicator |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104571099A (en) * | 2015-01-26 | 2015-04-29 | 北京国能日新***控制技术有限公司 | Photovoltaic fault diagnosis system and method based on theoretical calculation and data analysis |
| CN104571099B (en) * | 2015-01-26 | 2017-05-24 | 北京国能日新***控制技术有限公司 | Photovoltaic fault diagnosis system and method based on theoretical calculation and data analysis |
| CN107479474A (en) * | 2017-09-22 | 2017-12-15 | 重庆鲁班机器人技术研究院有限公司 | Industrial robot quality evaluating method and device |
| CN110175816A (en) * | 2019-05-09 | 2019-08-27 | 江苏南高智能装备创新中心有限公司 | A kind of industrial equipment management system based on mobile terminal app |
| CN112965448A (en) * | 2021-02-01 | 2021-06-15 | 青岛黄海学院 | Electric automatization management control system and device |
| CN115826563A (en) * | 2022-12-30 | 2023-03-21 | 江西方兴科技股份有限公司 | Remote fault monitoring system and method based on PLC cabinet |
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Application publication date: 20120328 |