CN109765515A - On-Line Monitor Device data accuracy intelligent checking system - Google Patents

On-Line Monitor Device data accuracy intelligent checking system Download PDF

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Publication number
CN109765515A
CN109765515A CN201811620787.6A CN201811620787A CN109765515A CN 109765515 A CN109765515 A CN 109765515A CN 201811620787 A CN201811620787 A CN 201811620787A CN 109765515 A CN109765515 A CN 109765515A
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China
Prior art keywords
monitor device
line monitor
data accuracy
data
accuracy
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Pending
Application number
CN201811620787.6A
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Chinese (zh)
Inventor
唐红
赵君娇
郑维刚
孔剑虹
李爽
李响
黄福存
李斌
韦德福
郭铁
宋云东
郎雪淞
王诗清
隋东硼
迟丹一
刘畅
谢倩
范维
张军如
刘芮彤
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
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Publication date
Application filed by State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201811620787.6A priority Critical patent/CN109765515A/en
Publication of CN109765515A publication Critical patent/CN109765515A/en
Pending legal-status Critical Current

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Abstract

The invention belongs to electric power monitoring technical fields, more particularly to a kind of on-Line Monitor Device data accuracy intelligent checking system, the on-Line Monitor Device data accuracy intelligent checking method that specifically a kind of error limit based between online data, live detection data is verified.Present invention could apply in the comparison of on-Line Monitor Device data accuracy intelligent checking, when being the live detection data automatic comparison by on-line equipment data and corresponding main equipment, data accuracy is classified using error limit result, solidified with program, automatically classify, and comparing is graphical, obtain trend comparison result.The present invention is in data intelligence is verified and compared, while guaranteeing result accuracy, save manpower and material resources required for a large amount of artificial comparisons, and avoid the result occurred in artificial comparison process inaccurate, improve data comparison efficiency, operating performance of plant is grasped, there is the repair and maintenance being directed to, on-Line Monitor Device is promoted and applies in the power system.

Description

On-Line Monitor Device data accuracy intelligent checking system
Technical field
The invention belongs to electric power monitoring technical field more particularly to a kind of on-Line Monitor Device data accuracy intelligent checkings System, the on-Line Monitor Device that specifically a kind of error limit based between online data, live detection data is verified Data accuracy intelligent checking method.
Background technique
On-Line Monitor Device is to realize the management of power transmission and transformation equipment state operating maintenance, promote power transmission and transformation professional production operation pipe The important technical for managing lean level, the real-time perception run by various sensor technologies, communication technology realization equipment, It monitors early warning, provides important evidence to analytical equipment hidden danger.In recent years, with the development of science and technology, on-line monitoring technique Constantly mature, in the power system, on-Line Monitor Device data can instruct repair based on condition of component to all kinds of on-Line Monitor Device technical applications Work, discovering device conceals defects in advance, so the accuracy of on-Line Monitor Device data is the emphasis of concern.
Data accuracy is not high in operation for on-Line Monitor Device, is set by on-Line Monitor Device data and corresponding master Standby live detection data are compared, and grasp device operating condition in time, targetedly carry out turnaround of unit, timely calibration cartridge It sets.Device data accuracy detection method is manually compared according to live detection test data in operation, and time-consuming, is easily gone out Mistake compares arduously according to error result classification, and can not carry out data trend comparison.
Summary of the invention
In view of the above-mentioned problems of the prior art, the invention proposes a kind of on-Line Monitor Device data accuracy intelligence Checking system is a kind of on-Line Monitor Device that the error limit based between online data, live detection data is verified Data accuracy intelligent checking method, the purpose is to when grasping on-Line Monitor Device data accuracy, using intelligent checking ratio To method, under the premise of guaranteeing result accuracy, comparison is rapidly completed, comparison result graduation, targetedly maintenance is tieed up Protection unit.
For achieving the above object, the present invention is achieved through the following technical solutions:
On-Line Monitor Device data accuracy intelligent checking system, comprising the following steps:
Step 1 on-Line Monitor Device data accuracy intelligent checking system obtains online from production management system PMS Monitoring device data and live detection data;
Step 2 shows the on-Line Monitor Device data of same main equipment and corresponding live detection graphical data Show, is used for trend analysis;
Step 3 classifies on-Line Monitor Device, calculates the measurement error of on-Line Monitor Device data;
Step 4 is limited according to the measurement error of different type on-Line Monitor Device, judges whether data accuracy is qualified, And by data accuracy qualification device according to grade separation;
Step 5 judges whether it is significant field in the unqualified device of data accuracy, is if it is carrying out data Increase weight in measurement error sequence;
Measurement error results are ranked up by step 6;
The sequence of on-Line Monitor Device data accuracy, according to monitoring data significance level, monitoring numerical value measurement error is automatic Sequence increases weight when calculating;
Step 7 carries out statistic of classification according to on-Line Monitor Device O&M unit, and O&M unit targetedly carries out dress Set maintenance.
The step 3 classifies on-Line Monitor Device, is to calculate measurement error using formula (1) and formula (2).
Measurement error (absolute)=on-Line Monitor Device measurement numerical value-live detection measurement numerical value (1)
Measurement error limit value of the step 4 according to different type on-Line Monitor Device, judgment means data accuracy It is whether qualified;If it is iron core grounding electric current on-Line Monitor Device, error limit takes the two maximum value in ± 3% or ± 1mA, Think data accuracy qualification, thinks that data accuracy is unqualified more than the range;It monitors on-line and fills if it is lightning arrester insulation It sets, monitoring parameter requires to carry out data accuracy classification according to 1 error limit of table, and numerical value is in error limitation, data accuracy Qualification is more than the range, it is believed that data accuracy is unqualified;If it is oil dissolved gas on-Line Monitor Device, each component gas Body calculates separately measurement error according to 2 error limit of table, requires to carry out data accuracy classification, all components according to error limit For gas values in error limitation, data accuracy is qualified, and any gas values are more than the range in each component gas, it is believed that Data accuracy is unqualified.
Measurement error results are ranked up by the step 6;Refer to that on-Line Monitor Device data accuracy sorts, foundation Monitoring data significance level, monitoring numerical value measurement error auto-sequencing increase weight when calculating.
The invention has the advantages and beneficial effects that:
Present invention could apply to be by on-line equipment number in the comparison of on-Line Monitor Device data accuracy intelligent checking When according to live detection data automatic comparison with corresponding main equipment, data accuracy is classified using error limit result, is used Program is solidified, and is classified automatically, and comparing is graphical, obtains trend comparison result.The present invention is in data intelligence It can verify in comparison, while guaranteeing result accuracy, saving is largely artificial to compare required manpower and material resources, and avoids The result inaccuracy occurred in artificial comparison process, improves data comparison efficiency, grasps operating performance of plant, there is the inspection being directed to Maintenance is repaired, on-Line Monitor Device is promoted and applies in the power system.
Detailed description of the invention
Understand for the ease of those of ordinary skill in the art and implement the present invention, with reference to the accompanying drawing and specific embodiment The present invention is described in further detail, it is to be understood that protection scope of the present invention is not by the limit of specific embodiment System.
Fig. 1 is the flow chart that on-Line Monitor Device data intelligence is verified.
Specific embodiment
The present invention is a kind of on-Line Monitor Device data accuracy intelligent checking system, as shown in Figure 1, if Fig. 1 is this hair The flow chart that bright on-Line Monitor Device data intelligence is verified, comprising the following steps:
Step 1 on-Line Monitor Device data accuracy intelligent checking system obtains online from production management system PMS Monitoring device data and live detection data;
Step 2 shows the on-Line Monitor Device data of same main equipment and corresponding live detection graphical data Show, is used for trend analysis;
Step 3 classifies on-Line Monitor Device, calculates on-Line Monitor Device data using formula (1) or formula (2) Measurement error;
Measurement error (absolute)=on-Line Monitor Device measurement numerical value-live detection measurement numerical value (1)
Step 4 is limited according to the measurement error of different type on-Line Monitor Device, judges whether data accuracy is qualified, And by data accuracy qualification device according to grade separation.According to different type device measurement error limit value, judgment means data Whether accuracy is qualified;If it is iron core grounding electric current on-Line Monitor Device, error limit takes the two most in ± 3% or ± 1mA Big value, it is believed that data accuracy is qualified, thinks that data accuracy is unqualified more than the range;It is supervised online if it is lightning arrester insulation Device is surveyed, monitoring parameter requires to carry out data accuracy classification according to 1 error limit of table, and for numerical value in error limitation, data are quasi- True property is qualified, is more than the range, it is believed that data accuracy is unqualified;If it is oil dissolved gas on-Line Monitor Device, each group Divide gas to calculate separately measurement error according to 2 error limit of table, requires to carry out data accuracy classification according to error limit, own For component gas numerical value in error limitation, data accuracy is qualified, and any gas values are more than the range in each component gas, Think that data accuracy is unqualified;
Step 5 judges whether it is significant field in the unqualified device of data accuracy, is if it is carrying out data Increase weight in measurement error sequence;
Measurement error results are ranked up by step 6;
The sequence of on-Line Monitor Device data accuracy, according to monitoring data significance level, monitoring numerical value measurement error is automatic Sequence increases weight when calculating.
Step 7 carries out statistic of classification according to on-Line Monitor Device O&M unit, and O&M unit targetedly carries out dress Set maintenance.
The classification of 1 lightning arrester insulation on-Line Monitor Device data accuracy of table
The classification of 2 oil dissolved gas on-Line Monitor Device data accuracy of table

Claims (4)

1. on-Line Monitor Device data accuracy intelligent checking system, it is characterised in that: the following steps are included:
Step 1 on-Line Monitor Device data accuracy intelligent checking system obtains on-line monitoring from production management system PMS Device data and live detection data;
Step 2 shows the on-Line Monitor Device data of same main equipment and corresponding live detection graphical data, uses In trend analysis;
Step 3 classifies on-Line Monitor Device, calculates the measurement error of on-Line Monitor Device data;
Step 4 is limited according to the measurement error of different type on-Line Monitor Device, and whether judgment means data accuracy is qualified, And by data accuracy qualification device according to grade separation;
Step 5 judges whether it is significant field in the unqualified device of data accuracy, is if it is carrying out DATA REASONING Increase weight in error sequence;
Measurement error results are ranked up by step 6;
On-Line Monitor Device data accuracy sequence, according to monitoring data significance level, monitoring numerical value measurement error auto-sequencing Increase weight when calculating;
Step 7 carries out statistic of classification according to on-Line Monitor Device O&M unit, and O&M unit targetedly carries out device inspection It repairs.
2. on-Line Monitor Device data accuracy intelligent checking system according to claim 1, it is characterized in that: the step Three, classify on-Line Monitor Device, are to calculate measurement error using formula (1) and formula (2).
Measurement error (absolute)=on-Line Monitor Device measurement numerical value-live detection measurement numerical value (1)
3. on-Line Monitor Device data accuracy intelligent checking system according to claim 1, it is characterised in that: the step For rapid four, according to the measurement error limit value of different type on-Line Monitor Device, whether judgment means data accuracy is qualified;If it is Iron core grounding electric current on-Line Monitor Device, error limit take the two maximum value, it is believed that data accuracy closes in ± 3% or ± 1mA Lattice think that data accuracy is unqualified more than the range;If it is lightning arrester insulation on-Line Monitor Device, monitoring parameter is according to table 1 error limit requires to carry out data accuracy classification, and for numerical value in error limitation, data accuracy is qualified, is more than the range, recognizes It is unqualified for data accuracy;If it is oil dissolved gas on-Line Monitor Device, each component gas is according to 2 error limit of table point Not Ji Suan measurement error, according to error limit require carry out data accuracy classification, all component gases numerical value is in the limits of error In system, data accuracy is qualified, and any gas values are more than the range in each component gas, it is believed that data accuracy is unqualified.
4. on-Line Monitor Device data accuracy intelligent checking system according to claim 1, it is characterised in that: the step Measurement error results are ranked up by rapid six,;Refer to that on-Line Monitor Device data accuracy sorts, according to the important journey of monitoring data Degree, monitoring numerical value measurement error auto-sequencing increase weight when calculating.
The classification of 1 lightning arrester insulation on-Line Monitor Device data accuracy of table
The classification of 2 oil dissolved gas on-Line Monitor Device data accuracy of table
CN201811620787.6A 2018-12-28 2018-12-28 On-Line Monitor Device data accuracy intelligent checking system Pending CN109765515A (en)

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Application Number Priority Date Filing Date Title
CN201811620787.6A CN109765515A (en) 2018-12-28 2018-12-28 On-Line Monitor Device data accuracy intelligent checking system

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Application publication date: 20190517