CN113155995A - Intelligent analysis method for measurement error of oil chromatography on-line monitoring device based on PMS - Google Patents
Intelligent analysis method for measurement error of oil chromatography on-line monitoring device based on PMS Download PDFInfo
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- 238000004587 chromatography analysis Methods 0.000 title claims abstract description 29
- 238000011208 chromatographic data Methods 0.000 claims abstract description 40
- 238000001514 detection method Methods 0.000 claims abstract description 36
- 238000012360 testing method Methods 0.000 claims abstract description 33
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- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
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Abstract
The invention relates to an intelligent analysis method for measurement errors of an oil chromatography online monitoring device based on PMS, which comprises the following steps: extracting laboratory gas chromatography detection data in an oil test report of a certain piece of equipment in the PMS by the system; according to the sampling date and the equipment identity information in the off-line oil test report, retrieving on-line chromatographic data generated by the same equipment in the PMS on the same sampling date, and carrying out primary processing on the on-line chromatographic data; the system automatically operates the extracted two types of chromatographic data; the system automatically analyzes the measurement error level of the online monitoring device for the dissolved gas in the transformer oil matched with the equipment and displays the analysis result. The device information of C level and above is represented by 'green' font, and all the device information below C level is alarmed by 'red' font. The invention automatically analyzes the performance level of the measurement error, and has good popularization and application values.
Description
Technical Field
The invention belongs to the technical field of on-line monitoring of power transformation equipment, and particularly relates to an intelligent analysis method for measurement errors of an oil chromatography on-line monitoring device based on a PMS.
Background
The transformer is one of the core devices of the power grid, and once the transformer fails, the loss is huge. Analysis of the content of dissolved gas components in oil has become one of the most effective methods for diagnosing early failures and preventing catastrophic accidents of oil-filled electrical equipment, since it is not affected by external electric and magnetic fields and can be performed without power failure. According to statistics, more than 50% of transformer faults in the power grid in China are detected by the method.
However, the periodic off-line chromatographic test has a long test period, and cannot timely find out sudden faults or accumulated faults generated by the sudden faults or the accumulated faults generated by the sudden faults occurring between 2 periodic sampling periods, and transformer accidents may be caused by insufficient chromatographic supervision, so that the advantage of sensitive detection is difficult to fully exert. The online monitoring device for the dissolved gas in the transformer oil can monitor the operation condition of the transformer in real time, and national network companies require that all transformer substations of 220kV and above are provided with the online monitoring device for the dissolved gas in the transformer oil, but because the field environment is severe and interference factors are numerous, the stability and the accuracy of the data are different from those of laboratory offline data, and a comparison test needs to be carried out periodically to analyze the performance. The existing comparison method needs to manually prepare an oil sample to carry out a test on site, and needs to disconnect the online chromatographic monitoring device from the monitored equipment, so that the time and the labor are consumed, the interval period between two comparisons is long, a blank period of monitoring data is generated, and the risk coefficient of equipment operation is increased.
The Production Management System (PMS) of the national power grid company not only contains online chromatographic data of power oil filling equipment such as a monitored transformer and the like uploaded by an online monitoring device for dissolved gas in transformer oil, but also contains offline chromatographic data of corresponding power oil filling equipment uploaded by laboratories of operation and maintenance units, and the online chromatographic data and the offline chromatographic data are stored in different positions, so that the comprehensive utilization rate is not high.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an intelligent analysis method for the measurement error of the oil chromatography online monitoring device based on the PMS, which fully excavates the utilization value of various chromatographic data in the PMS, has high automation degree, greatly improves the analysis efficiency of the measurement error performance of the online monitoring device for the dissolved gas in the transformer oil, and meets the requirements of upgrading and efficiency improvement of companies.
The technical scheme adopted by the invention for solving the technical problems is as follows:
an intelligent analysis method for measurement errors of an oil chromatography on-line monitoring device based on PMS comprises the following steps:
extracting laboratory gas chromatography detection data in an oil test report of a certain piece of equipment in the PMS by the system; according to the sampling date and the equipment identity information in the off-line oil test report, retrieving on-line chromatographic data generated by the same equipment in the PMS on the same sampling date, and carrying out primary processing on the on-line chromatographic data; the system automatically operates the extracted two types of chromatographic data; the system automatically analyzes the measurement error level of the online monitoring device for the dissolved gas in the transformer oil matched with the equipment.
Preferably, the off-line oil test report is a main transformer oil test report or a reactor oil test report.
Preferably, the method specifically comprises the following steps:
(1) extracting detection data of a laboratory gas chromatograph;
(2) screening and obtaining detection data of an online chromatographic monitoring device for analysis;
(3) performing primary processing on the retrieved online chromatographic data;
(4) after online chromatographic monitoring data and offline chromatographic detection data generated by the same equipment on the same sampling date are obtained, the system automatically calculates the measurement error according to a formula;
(5) after the measurement error calculation of the oil chromatogram on-line monitoring device is completed, the system automatically analyzes the measurement error grade of the device according to the requirement of the existing standard on the measurement error of the multi-component on-line monitoring device, and displays the measurement error grade; the device information at C level and above is represented by green font, the device information below C level is alarmed by red font, and the current standard is Q/GDW 10536.
Preferably, the step (1) system extracts laboratory gas chromatography data for analysis from oil test reports uploaded by each facility maintenance unit.
Preferably, in the step (2), on-line chromatographic data generated by the same equipment on the same sampling date is retrieved according to the sampling date and the equipment identity information in the off-line oil test report.
Preferably, in the step (2), the detection data of the online chromatographic monitoring device for analysis is obtained through screening, and in the first step, the off-line chromatographic data of the equipment and the equipment information related to the off-line chromatographic data of the equipment and the equipment information in the report are extracted from the PMS, wherein the equipment information comprises sampling time, a transformer substation, equipment names or phases.
Preferably, the step (2) screens and acquires detection data of the online chromatographic monitoring device for analysis, and the second step corresponds the offline transformer substation to the online transformer substation according to the device information of the device offline chromatographic data detected by the laboratory chromatograph, the offline device name to the online primary device name, and the offline sampling time to the online acquisition time.
Preferably, step (3) is directly applied if the apparatus in the PMS produces only one on-line chromatographic data on the sampling date.
Preferably, in the step (3), if the number of the online chromatographic data generated by the equipment on the sampling date in the PMS is more than one, the equipment is subjected to average value calculation; through the preliminary treatment, the detection data of the online chromatographic monitoring device for analysis can be obtained.
Preferably, the formula of step (4) includes formula (1) and formula (2);
Ea-absolute error;
C0-the on-line monitoring device detects data;
Cllaboratory gas chromatograph test data.
C0-the on-line monitoring device detects data;
Cl-laboratory gas chromatograph test data;
Er-relative error.
The current standard in step (5) is Q/GDW10536, see Table 1.
TABLE 1 measurement error requirements for multicomponent on-line monitoring devices
aWithin the low concentration range, the measurement error limit value is the larger value of the two.
The invention has the advantages that:
the intelligent analysis method for the measurement error of the oil chromatography on-line monitoring device based on the PMS automatically extracts the detection data of the laboratory chromatograph and the detection data of the on-line monitoring device for the dissolved gas in the transformer oil generated by the same equipment on the same sampling date corresponding to the detection data from the PMS through the system, and automatically analyzes the performance level of the measurement error according to the requirement on the measurement error of the multi-component on-line monitoring device in the current standard Q/GDW10536, thereby having good popularization and application values.
Firstly, the method automatically obtains two types of chromatographic data from the PMS by the system and analyzes the two types of chromatographic data, is quick and efficient, saves time and labor, saves economic cost, and avoids dangerous situations such as monitoring blank caused by disconnecting a device from equipment in a manual on-site test;
secondly, the method realizes multi-dimensional comprehensive utilization of a large amount of chromatographic data generated in the PMS every day through deep excavation, and improves the application value of the method;
finally, the analysis method follows the requirements of the existing standard Q/GDW10536 on the measurement error of the multi-component online monitoring device, is convenient and practical, can be directly adopted by each equipment operation and maintenance unit, and has good popularization and application values.
Drawings
FIG. 1 is an analytical flow chart of the present invention.
Detailed Description
As shown in fig. 1, an intelligent analysis method for measurement errors of an oil chromatography online monitoring device based on PMS comprises the following steps: extracting laboratory gas chromatography detection data in an oil test report of a certain piece of equipment in the PMS by the system; according to the detection data generated by the oil chromatography on-line detection device of the equipment on the same sampling date in the off-line chromatography data, performing primary processing on the detection data; the system automatically operates the extracted two types of chromatographic data; the system automatically analyzes the measurement error level of the online monitoring device for the dissolved gas in the transformer oil matched with the equipment. The off-line oil test report is a main transformer oil test report or a reactor oil test report.
The method specifically comprises the following steps:
1. extracting the detection data of the laboratory gas chromatograph. The system extracts laboratory gas chromatography data for analysis from the oil test reports (off-line reports) uploaded by each facility operation and maintenance unit.
2. And screening to obtain the detection data of the online chromatographic monitoring device for analysis. And retrieving online chromatographic data generated by the same equipment on the same sampling date according to the sampling date and the equipment identity information in the offline oil test report.
3. Performing primary processing on the retrieved online chromatographic data: if the equipment in the PMS only generates one piece of online chromatographic data on the sampling date, directly adopting the online chromatographic data; and if the number of the online chromatographic data generated by the equipment on the sampling date in the PMS is more than one, carrying out average value operation on the online chromatographic data. Through the preliminary treatment, the detection data of the online chromatographic monitoring device for analysis can be obtained.
4. After online chromatographic monitoring data and offline chromatographic detection data generated by the same equipment on the same sampling date are obtained, the system automatically calculates the measurement error according to the formula (1) and the formula (2).
In the formulae (1) and (2),
E a -absolute error;
C 0 -the on-line monitoring device detects data;
C l -laboratory gas chromatograph test data;
E r -relative error.
5. After the measurement error calculation of the oil chromatography on-line monitoring device is completed, the system automatically analyzes the measurement error grade of the device according to the requirements on the measurement error of the multi-component on-line monitoring device in the current standard Q/GDW10536 as shown in Table 1.
TABLE 1 measurement error requirements for multicomponent on-line monitoring devices
aWithin the low concentration range, the measurement error limit value is the larger value of the two.
Example 1:
the system acquires the detection data of a laboratory chromatograph of a certain transformer generated in 28 days 4 months 2020, simultaneously extracts the detection data of the online monitoring device for the gas dissolved in the transformer oil generated in the same day of the transformer, automatically analyzes the chromatographic data generated by the device on the same sampling date to obtain the absolute error and the relative error of the two, and automatically analyzes the measurement error grade of the device according to the requirements on the measurement error of the multi-component online monitoring device in the current standard Q/GDW10536-2017, as shown in Table 1. The results are shown in Table 2.
TABLE 2 analysis result of measurement error of online monitoring device for dissolved gas in oil at 28 days of 2020, 4 and 28 days of a certain transformer
Example 2:
the system acquires the detection data of a laboratory chromatograph of a certain transformer generated in 10.4.2020, simultaneously extracts the detection data of the online monitoring device for the gas dissolved in the transformer oil generated in the same day of the transformer, automatically analyzes the chromatographic data generated by the device on the same sampling date to obtain the absolute error and the relative error of the two, and automatically analyzes the measurement error grade of the device according to the requirements on the measurement error of the multi-component online monitoring device in the current standard Q/GDW10536-2017, as shown in Table 1. The results are shown in Table 3.
TABLE 3 analysis result of measurement error of online monitoring device for dissolved gas in oil at 28 days of 2020, 4 and 28 days of a certain transformer
Example 3:
the system acquires the detection data of a laboratory chromatograph of a certain transformer generated in 5, 10 and 2020, simultaneously extracts the detection data of the online monitoring device for the gas dissolved in the transformer oil generated in the same day of the transformer, automatically analyzes the chromatographic data generated by the device on the same sampling date to obtain the absolute error and the relative error of the two, and automatically analyzes the measurement error grade of the device according to the requirements on the measurement error of the multi-component online monitoring device in the current standard Q/GDW10536-2017, as shown in Table 1. In particular, since the apparatus produced 4 sets of laboratory chromatograph test data on the day, it was averaged for analytical studies. The results are shown in Table 4.
TABLE 4 analysis result of measurement error of online monitoring device for dissolved gas in oil at 28 days of 2020, 4 and 28 days of a certain transformer
From the embodiments 1 to 3, it can be known that the intelligent analysis method for the measurement error of the oil chromatography online monitoring device based on the PMS automatically extracts the detection data of the laboratory chromatograph and the detection data of the dissolved gas online monitoring device in the transformer oil generated by the same equipment corresponding to the detection data on the same sampling date from the PMS through the system, and automatically analyzes the performance level of the measurement error according to the requirement of the measurement error of the multi-component online monitoring device in the existing standard Q/GDW10536-2017, so that the intelligent analysis method has good popularization and application values.
Firstly, the method automatically obtains two types of chromatographic data from the PMS by the system and analyzes the two types of chromatographic data, is quick and efficient, saves time and labor, saves economic cost, and avoids dangerous situations such as monitoring blank caused by disconnecting a device from equipment in a manual on-site test;
secondly, the method realizes multi-dimensional comprehensive utilization of a large amount of chromatographic data generated in the PMS every day through deep excavation, and improves the application value of the method;
finally, the analysis method follows the requirements of the existing standard Q/GDW10536-2017 on the measurement error of the multi-component online monitoring device, is convenient and practical, can be directly adopted by each equipment operation and maintenance unit, and has good popularization and application values.
The invention fully exploits the utilization value of various chromatographic data in PMS, has high automation degree, greatly improves the analysis efficiency of the measurement error performance of the online monitoring device for the dissolved gas in the transformer oil, and meets the requirements of upgrading and efficiency improvement of companies.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; it is obvious as a person skilled in the art to combine several aspects of the invention. And such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An intelligent analysis method for measurement errors of an oil chromatography on-line monitoring device based on PMS is characterized by comprising the following steps:
extracting laboratory gas chromatography detection data in an oil test report of a certain piece of equipment in the PMS by the system; according to the sampling date and the equipment identity information in the off-line oil test report, retrieving on-line chromatographic data generated by the same equipment in the PMS on the same sampling date, and carrying out primary processing on the on-line chromatographic data; the system automatically operates the extracted two types of chromatographic data; the system automatically analyzes the measurement error level of the online monitoring device for the dissolved gas in the transformer oil matched with the equipment.
2. The intelligent analysis method for the measurement error of the PMS-based oil chromatography online monitoring device according to claim 1, wherein the off-line oil test report is a main transformer oil test report or a reactor oil test report.
3. The intelligent analysis method for the measurement error of the PMS-based oil chromatography online monitoring device according to claim 1, characterized by comprising the following steps:
(1) extracting detection data of a laboratory gas chromatograph;
(2) screening and obtaining detection data of an online chromatographic monitoring device for analysis;
(3) performing primary processing on the retrieved online chromatographic data;
(4) after online chromatographic monitoring data and offline chromatographic detection data generated by the same equipment on the same sampling date are obtained, the system automatically calculates the measurement error according to a formula;
(5) after the measurement error calculation of the oil chromatogram on-line monitoring device is completed, the system automatically analyzes the measurement error grade of the device according to the requirement of the existing standard on the measurement error of the multi-component on-line monitoring device, and displays the measurement error grade; the device information at C level and above is represented by green font, the device information below C level is alarmed by red font, and the current standard is Q/GDW 10536.
4. The intelligent analysis method for the measurement error of the PMS-based oil chromatography online monitoring device according to claim 3, wherein the step (1) system extracts laboratory gas chromatography data for analysis from oil test reports uploaded by each equipment operation and maintenance unit.
5. The intelligent analysis method for the measurement error of the PMS-based oil chromatography online monitoring device according to claim 3, wherein the step (2) retrieves online chromatography data generated by the same equipment on the same sampling date according to the sampling date and equipment identity information in the offline oil test report.
6. The intelligent analysis method for the measurement error of the oil chromatography online monitoring device based on the PMS as claimed in claim 3, wherein in the step (2), the detection data of the online chromatography monitoring device used for analysis is obtained through screening, and in the first step, the off-line chromatography data of equipment and the equipment information related to the off-line chromatography data of the equipment in the report are extracted from the PMS, wherein the equipment information comprises sampling time, a transformer substation, equipment names or phases.
7. The intelligent analysis method for the measurement error of the PMS-based oil chromatography online monitoring device according to claim 3, characterized in that, in the step (2), the detection data of the online chromatography monitoring device for analysis is obtained through screening, in the second step, according to the device information of the device offline chromatography data obtained through detection of the laboratory chromatograph, the offline transformer substation is corresponding to the online transformer substation, the offline device name is corresponding to the online primary device name, and the offline sampling time is corresponding to the online acquisition time.
8. The intelligent analysis method for the measurement error of the oil chromatography online monitoring device based on the PMS as claimed in claim 3, wherein the step (3) is directly adopted if the equipment in the PMS only generates one online chromatographic data at the sampling date.
9. The intelligent analysis method for the measurement error of the oil chromatography online monitoring device based on the PMS as claimed in claim 8, wherein the step (3) is performed with an average value operation if the number of online chromatography data generated by the equipment on the sampling date in the PMS is more than one; through the preliminary treatment, the detection data of the online chromatographic monitoring device for analysis can be obtained.
10. The intelligent analysis method for the measurement error of the PMS-based oil chromatography online monitoring device according to claim 3, wherein the formula of the step (4) comprises a formula (1) and a formula (2);
Ea-absolute error;
C0-the on-line monitoring device detects data;
Cl-laboratory gas chromatograph test data;
Er-relative error.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114660217A (en) * | 2022-03-28 | 2022-06-24 | 广东电网有限责任公司 | Method for analyzing accuracy of oil chromatography online monitoring data and related device |
| CN115728434A (en) * | 2022-11-18 | 2023-03-03 | 国网安徽省电力有限公司电力科学研究院 | Transformer oil test error evaluation method based on temperature, time and gas-liquid ratio |
| CN118311239A (en) * | 2024-06-07 | 2024-07-09 | 清华四川能源互联网研究院 | Automatic alarm method and system for accuracy of on-line monitoring device for dissolved gas in oil |
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| CN106093222A (en) * | 2016-05-31 | 2016-11-09 | 国网河北省电力公司电力科学研究院 | Chromatographic detection apparatus stratification appraisal procedure in a kind of electrical network system |
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| CN103018344A (en) * | 2012-12-07 | 2013-04-03 | 汉中供电局 | Calibrating method of color spectrum in oil on-line detecting device |
| CN104111301A (en) * | 2014-07-11 | 2014-10-22 | 国家电网公司 | Intelligent checking method for online monitoring data and offline data of oil chromatography |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114660217A (en) * | 2022-03-28 | 2022-06-24 | 广东电网有限责任公司 | Method for analyzing accuracy of oil chromatography online monitoring data and related device |
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| CN118311239A (en) * | 2024-06-07 | 2024-07-09 | 清华四川能源互联网研究院 | Automatic alarm method and system for accuracy of on-line monitoring device for dissolved gas in oil |
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Application publication date: 20210723 |