CN104111301A - Intelligent checking method for online monitoring data and offline data of oil chromatography - Google Patents
Intelligent checking method for online monitoring data and offline data of oil chromatography Download PDFInfo
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- CN104111301A CN104111301A CN201410331320.5A CN201410331320A CN104111301A CN 104111301 A CN104111301 A CN 104111301A CN 201410331320 A CN201410331320 A CN 201410331320A CN 104111301 A CN104111301 A CN 104111301A
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Abstract
The invention relates to the technical field of power systems, and particularly relates to an intelligent checking method for online monitoring data and offline data of an oil chromatography, which is an intelligent function threshold-based comparison checking method for online and offline data of an oil chromatography. According to the intelligent checking method, through automatically comparing online data and offline data, whether an online device is qualified or not is determined by using a function threshold. A more accurate comparison result is obtained, the data comparison speed is increased, the development of advanced application of online monitoring of the oil chromatography in a condition monitoring system (PMS) is ensured, and the production management condition monitoring system is promoted to stably and efficiently operate.
Description
Technical field
The present invention relates to technical field of power systems, relate in particular to a kind of oil chromatography online monitoring data and off-line data intelligent checking method, is the online off-line oil chromatography data intelligence contrast method of calibration based on function threshold.
Technical background
Power transformer is the electrical equipment of core in electric system, and its safe operation directly has influence on the safe operation of electrical network.Gases Dissolved in Transformer Oil is analyzed the important means that (DGA) is power transformer interior fault diagnosis, and it provides important evidence for indirectly understanding the general incipient faults of transformer inside.Insulating oil chromatographic technique is generally acknowledge in the world the sensitiveest to reflection device interior potential problems, fast and effectively reliably method.The classic method of Gases Dissolved in Transformer Oil analysis is regularly to scene, to sample and obtain data.In recent years, along with scientific and technological development, the continuous maturation of on-line monitoring technique, the development of oil chromatography on-Line Monitor Device fast, can realize and pass through condition monitoring system, detect online various fault characteristic gases concentration and the variation tendency of dissolved in insulating oil, transmit online monitoring data to condition monitoring system simultaneously, carry out Real-Time Monitoring.
At present, during due to on-line monitoring, there is multiple disturbing factor, cause the data accuracy of oil chromatography on-Line Monitor Device not reach standard-required.Therefore, the off-line data that need obtain by online data and the periodic sampling of device contrasts, and verifies the measurement accuracy of on-line equipment.Classic method carries out oil chromatography online monitoring data and off-line data is compared and need to manually be completed, length consuming time, the defect such as check results is not accurate enough.Meanwhile, all adopt relative error to be no more than 30% standard proofread for online and off-line failure gas data, this standard is also not exclusively applicable to all failure gas.
Summary of the invention
For above-mentioned problems of the prior art, the invention provides a kind of oil chromatography online monitoring data and off-line data intelligent checking method, object is to carry out during off-line and online data compare, to failure gas, adopt function threshold method to carry out, guaranteeing under the prerequisite of comparison result accuracy, complete fast check and correction task, efficiency is significantly improved.
For achieving the above object, the present invention is achieved in the following ways:
Oil chromatography online monitoring data and an off-line data intelligent checking method, comprise the following steps:
(1) oil chromatography online monitoring data and off-line data intelligent checking system obtain oil chromatography off-line data X from production management system
1, from condition monitoring system, obtain online data X
2;
(2), in offline database, each transformer has a unique coding, in online database, the on-Line Monitor Device of each transformer has a unique coding, two codings are corresponding, and the identical gas data of the same race of encoding compares and obtains comparison diagram, and error of calculation Z=X
1-X
2;
(3) if Z>0 adopts lower limit function to carry out error calculating; If Z<0, adopts upper limit error to calculate, obtain error Y;
(4) by the absolute value of off-line and online error result of calculation Z | Z| and threshold function table error Y compare, and calculate A=|Z|-Y; If A>0, thinks that this installs this gas defective, if A<0 thinks that this installs this gas qualified.
Described upper limit function and lower limit function, the corresponding threshold function table of oil chromatography gas wherein, each threshold function table comprises upper limit function f (x)=2.922e+04*x^-2.034+29.91 and lower limit function f (x)=1665*x^-1.442-29.91.
If described Z>0, adopts lower limit function f (X
1)=1665*X
1^-1.442+-29.79 carries out error calculating, obtains function threshold error Y=X
2f(X
1); If described Z<0, adopts upper limit function f (X
1)=2.922e+04*X
1^-2.034+29.91 calculates, and obtains function threshold error Y=X
1f(X
1).
Advantage of the present invention and beneficial effect are:
Oil chromatography online monitoring data of the present invention and off-line data intelligent checking method, be while automatically contrasting by online data and off-line data, utilizes function threshold to judge that whether on-line equipment is qualified.Obtain comparing result more accurately, improved the speed of Data Comparison, assurance oil chromatography on-line monitoring is carried out the middle-and-high-ranking application of condition monitoring system PMS, advances production management condition monitoring system to stablize, efficiently move.
Below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of oil chromatography online monitoring data and off-line data intelligent checking.
Embodiment
The present invention is a kind of oil chromatography online monitoring data and off-line data intelligent checking method, as shown in Figure 1, and if Fig. 1 is the process flow diagram of oil chromatography online monitoring data of the present invention and off-line data intelligent checking.
Oil chromatography online monitoring data of the present invention and off-line data intelligent checking method are as follows:
(1) oil chromatography online monitoring data and off-line data intelligent checking system obtain oil chromatography off-line data X from production management system (PMS)
1, online data X
2;
(2) in offline database, each transformer has a unique coding, and in online database, the on-Line Monitor Device of each transformer has a unique coding, according to device coding, two codings are corresponding, makes the online data X of same group of gas
2with off-line data X
1compare, the identical gas data of the same race of encoding compares and obtains comparison diagram, and error of calculation Z=X
1-X
2;
(3) in off-line and online comparison result, judge that Z, whether for just, if so, utilizes lower limit function to carry out error analysis, if i.e. Z>0 adopts lower limit function f (X
1)=1665*X
1^-1.442+-29.79 carries out error calculating, obtains function threshold error Y=X
2f(X
1);
In off-line and online comparison result, judge that Z is whether for just, if not, utilize upper limit function to carry out error analysis; If Z<0, adopts upper limit function f (X
1)=2.922e+04*X
1^-2.034+29.91 calculates, and obtains function threshold error Y=X
1f(X
1);
(4) by the absolute value of off-line and online error result of calculation Z | Z| and threshold function table error Y compare, and calculate A=|Z|-Y;
(5) if A for just, A>0, judges that this installs this gas defective; If A is for negative, A<0, judges that this installs this gas qualified.
Embodiment 1:
It is X that certain transformer oil chromatographic data obtains hydrogen online data
2=116, off-line data is X
1=10, Z=X
1-X
2=-106, due to Z<0, adopt the formula of reaching the standard grade to calculate f (X
1)=300%, Y=X
1f(X
1)=30, A=|Z|-Y=106-30=76>0, judges that this installs this gas defective.
Claims (3)
1. oil chromatography online monitoring data and an off-line data intelligent checking method, is characterized in that comprising the following steps:
(1) oil chromatography online monitoring data and off-line data intelligent checking system obtain oil chromatography off-line data X from production management system
1, from condition monitoring system, obtain online data X
2;
(2), in offline database, each transformer has a unique coding, in online database, the on-Line Monitor Device of each transformer has a unique coding, two codings are corresponding, and the identical gas data of the same race of encoding compares and obtains comparison diagram, and error of calculation Z=X
1-X
2;
(3) if Z>0 adopts lower limit function to carry out error calculating; If Z<0, adopts upper limit error to calculate, obtain error Y;
(4) by the absolute value of off-line and online error result of calculation Z | Z| and threshold function table error Y compare, and calculate A=|Z|-Y; If A>0, thinks that this installs this gas defective, if A<0 thinks that this installs this gas qualified.
2. oil chromatography online monitoring data and off-line data intelligent checking method according to claim 1, it is characterized in that: described upper limit function and lower limit function, the corresponding threshold function table of oil chromatography gas wherein, each threshold function table comprises upper limit function f (x)=2.922e+04*x^-2.034+29.91 and lower limit function f (x)=1665*x^-1.442-29.91.
3. according to oil chromatography online monitoring data described in claim 1 and off-line data intelligent checking method, it is characterized in that: if described Z>0 adopts lower limit function f (X
1)=1665*X
1^-1.442+-29.79 carries out error calculating, obtains function threshold error Y=X
2f(X
1); If described Z<0, adopts upper limit function f (X
1)=2.922e+04*X
1^-2.034+29.91 calculates, and obtains function threshold error Y=X
1f(X
1).
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CN104111301A true CN104111301A (en) | 2014-10-22 |
CN104111301B CN104111301B (en) | 2016-09-07 |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107944573A (en) * | 2017-11-28 | 2018-04-20 | 许继集团有限公司 | A kind of proofreading method and system of Transformer Substation Online Monitoring System data accuracy |
CN113155995A (en) * | 2021-03-23 | 2021-07-23 | 国网河北省电力有限公司电力科学研究院 | Intelligent analysis method for measurement error of oil chromatography on-line monitoring device based on PMS |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201583528U (en) * | 2009-12-09 | 2010-09-15 | 山西省电力公司电力科学研究院 | Transformer chromatographic data remote monitoring system |
JP2011134906A (en) * | 2009-12-24 | 2011-07-07 | Toshiba Corp | Method of diagnosing deterioration of oil-filled transformer |
CN103018344A (en) * | 2012-12-07 | 2013-04-03 | 汉中供电局 | Calibrating method of color spectrum in oil on-line detecting device |
CN103424486A (en) * | 2013-07-30 | 2013-12-04 | 中国电力科学研究院 | System and method for detecting performance of transformer oil chromatography online monitoring device |
-
2014
- 2014-07-11 CN CN201410331320.5A patent/CN104111301B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201583528U (en) * | 2009-12-09 | 2010-09-15 | 山西省电力公司电力科学研究院 | Transformer chromatographic data remote monitoring system |
JP2011134906A (en) * | 2009-12-24 | 2011-07-07 | Toshiba Corp | Method of diagnosing deterioration of oil-filled transformer |
CN103018344A (en) * | 2012-12-07 | 2013-04-03 | 汉中供电局 | Calibrating method of color spectrum in oil on-line detecting device |
CN103424486A (en) * | 2013-07-30 | 2013-12-04 | 中国电力科学研究院 | System and method for detecting performance of transformer oil chromatography online monitoring device |
Non-Patent Citations (2)
Title |
---|
袁帅 等: "变压器油中溶解气体在线监测装置技术要求与检验方法研究", 《电测与仪表》 * |
黄新波 等: "基于贝叶斯和模糊L-M网络的变压器故障诊断", 《电力建设》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107944573A (en) * | 2017-11-28 | 2018-04-20 | 许继集团有限公司 | A kind of proofreading method and system of Transformer Substation Online Monitoring System data accuracy |
CN113155995A (en) * | 2021-03-23 | 2021-07-23 | 国网河北省电力有限公司电力科学研究院 | Intelligent analysis method for measurement error of oil chromatography on-line monitoring device based on PMS |
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CN104111301B (en) | 2016-09-07 |
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