CN109765515A - On-Line Monitor Device data accuracy intelligent checking system - Google Patents
On-Line Monitor Device data accuracy intelligent checking system Download PDFInfo
- 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
- Authority
- CN
- China
- Prior art keywords
- monitor device
- line monitor
- data accuracy
- data
- accuracy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Testing And Monitoring For Control Systems (AREA)
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
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
。
Priority Applications (1)
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 |
Applications Claiming Priority (1)
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 |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109765515A true CN109765515A (en) | 2019-05-17 |
Family
ID=66450453
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811620787.6A Pending CN109765515A (en) | 2018-12-28 | 2018-12-28 | On-Line Monitor Device data accuracy intelligent checking system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109765515A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110941031A (en) * | 2019-10-25 | 2020-03-31 | 浩亚信息科技有限公司 | Online checking method for civil aviation automatic meteorological station and storage medium |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103426125A (en) * | 2013-08-05 | 2013-12-04 | 国家电网公司 | Intelligent checking system for transformer accounts for production management system (PMS) |
CN103543424A (en) * | 2013-10-24 | 2014-01-29 | 国家电网公司 | Online monitoring device calibrating method for lightning arrester |
CN103793856A (en) * | 2014-02-13 | 2014-05-14 | 国家电网公司 | Power grid equipment state evaluating system based on multiple data sources and method thereof |
CN103942726A (en) * | 2014-03-26 | 2014-07-23 | 国家电网公司 | Intelligent inspection method for condition evaluation work of power grid equipment |
CN106469356A (en) * | 2016-09-28 | 2017-03-01 | 国家电网公司 | Transmission facility state evaluation based on multidimensional data and risk analysis method and device |
CN106597196A (en) * | 2016-12-08 | 2017-04-26 | 北京国网富达科技发展有限责任公司 | State monitoring and intelligent diagnosis and analysis system and method for power transmission and transformation equipment |
CN106772196A (en) * | 2017-01-05 | 2017-05-31 | 云南电网有限责任公司电力科学研究院 | A kind of electric energy metrical standard set-up on-line monitoring method |
CN107085630A (en) * | 2017-03-28 | 2017-08-22 | 国网浙江省电力公司电力科学研究院 | A kind of Gases Dissolved in Transformer Oil on-Line Monitor Device Analysis of The Practicability method |
CN107884646A (en) * | 2017-11-03 | 2018-04-06 | 福建和盛高科技产业有限公司 | Transformer Substation Online Monitoring System Critical method |
-
2018
- 2018-12-28 CN CN201811620787.6A patent/CN109765515A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103426125A (en) * | 2013-08-05 | 2013-12-04 | 国家电网公司 | Intelligent checking system for transformer accounts for production management system (PMS) |
CN103543424A (en) * | 2013-10-24 | 2014-01-29 | 国家电网公司 | Online monitoring device calibrating method for lightning arrester |
CN103793856A (en) * | 2014-02-13 | 2014-05-14 | 国家电网公司 | Power grid equipment state evaluating system based on multiple data sources and method thereof |
CN103942726A (en) * | 2014-03-26 | 2014-07-23 | 国家电网公司 | Intelligent inspection method for condition evaluation work of power grid equipment |
CN106469356A (en) * | 2016-09-28 | 2017-03-01 | 国家电网公司 | Transmission facility state evaluation based on multidimensional data and risk analysis method and device |
CN106597196A (en) * | 2016-12-08 | 2017-04-26 | 北京国网富达科技发展有限责任公司 | State monitoring and intelligent diagnosis and analysis system and method for power transmission and transformation equipment |
CN106772196A (en) * | 2017-01-05 | 2017-05-31 | 云南电网有限责任公司电力科学研究院 | A kind of electric energy metrical standard set-up on-line monitoring method |
CN107085630A (en) * | 2017-03-28 | 2017-08-22 | 国网浙江省电力公司电力科学研究院 | A kind of Gases Dissolved in Transformer Oil on-Line Monitor Device Analysis of The Practicability method |
CN107884646A (en) * | 2017-11-03 | 2018-04-06 | 福建和盛高科技产业有限公司 | Transformer Substation Online Monitoring System Critical method |
Non-Patent Citations (2)
Title |
---|
易柏年 等: ""一种变电设备绝缘在线监测校验装置的设计"", 《水电能源科学》 * |
杨玥 等: ""内蒙古电网变电设备在线监测***运行情况分析"", 《内蒙古电力技术》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110941031A (en) * | 2019-10-25 | 2020-03-31 | 浩亚信息科技有限公司 | Online checking method for civil aviation automatic meteorological station and storage medium |
CN110941031B (en) * | 2019-10-25 | 2022-08-05 | 浩亚信息科技有限公司 | Online checking method for civil aviation automatic meteorological station and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106228472B (en) | A kind of substation equipment intelligent patrol detection failure analysis methods | |
CN110930057A (en) | Quantitative evaluation method for reliability of distribution transformer test result based on LOF algorithm | |
CN110994599B (en) | Extra-high voltage AC/DC transmission output type power grid stability judgment method based on big data | |
CN115330004B (en) | Power distribution network line energy-saving transformation selection method | |
CN111582338A (en) | Method and system for evaluating running state of electric vehicle charging facility | |
CN109615273A (en) | A kind of electric car electrically-charging equipment method for evaluating state and system | |
CN110750760B (en) | Abnormal theoretical line loss detection method based on situation awareness and control diagram | |
CN109765515A (en) | On-Line Monitor Device data accuracy intelligent checking system | |
CN113379323B (en) | Construction site quality supervision method and system | |
CN111077380A (en) | Full-automatic detection system for operation capacity of transformer | |
CN117743794A (en) | Distributed photovoltaic power station fault diagnosis and efficiency loss evaluation system | |
Guo et al. | A review of on-line condition monitoring in power system | |
CN106249146B (en) | A kind of analysis of cigar mill's electric motor operation state and method for early warning | |
CN103235242B (en) | Inflatable direct current sleeve state evaluation system and state evaluation method | |
CN117368644A (en) | Sensor cable detection method | |
CN112507290B (en) | Power distribution equipment fault probability pre-judging method, device and storage medium | |
CN108872920A (en) | SF6 current transformer operating status appraisal procedure | |
CN114720809A (en) | Vehicle-mounted bidirectional charger test system and control method thereof | |
CN112549073A (en) | Industrial robot performance detection system | |
CN117114254B (en) | Power grid new energy abnormal data monitoring method and system | |
CN116579748B (en) | Safety production management system based on wireless communication technology | |
CN113159605B (en) | Chemical device intelligent alarm method and system based on logistic regression | |
CN105021908A (en) | Intelligent high voltage test system | |
CN116362694B (en) | Test management system for boiler pressure vessel | |
CN112949191B (en) | Dry-type transformer state evaluation method based on cloud model |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190517 |