CN105116301B - A kind of data auxiliary judgment method based on dynamic statistics - Google Patents
A kind of data auxiliary judgment method based on dynamic statistics Download PDFInfo
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Abstract
The present invention relates to a kind of data auxiliary judgment method based on dynamic statistics, this method sets attention threshold interval to the live detection data of collection on the basis of standard basis for estimation, specifically includes：The first judgment step tentatively judged according to standard basis for estimation；Live detection data are carried out with data statistics and the statistic procedure for noting threshold interval is set according to statistical result；According to the live detection data of each equipment under test and set the second judgment step for noting threshold interval progress auxiliary judgment.Compared with prior art, the present invention has the advantages that judged result precision height, auxiliary judgment are credible high.
Description
Technical field
The present invention relates to a kind of data processing method of live detection technical field, more particularly, to one kind based on dynamic system
The data auxiliary judgment method of meter.
Background technology
In recent years, as grid equipment overhauls the transformation from periodic inspection to repair based on condition of component, state-detection is obtained increasingly
It is widely applied.Live detection generally uses portable instrumentation in running status as the important branch of state-detection
Under grid equipment carry out Site Detection, with it is flexible, accurate, timely the features such as.Live detection test data is as important
Equipment state characterizes parameter, is to carry out one of data source of grid equipment state evaluation.
At present, live detection business, which also has some problem, needs solution：First, live detection data rely primarily on scene
Professional's hand-kept of experiment, this original mode has that data standard is poor, measurement can not be carried out easily
File the defects such as statistical analysis.Second, live detection work on the spot collect data class is more, quantity big, reported writing analysis
Needed during announcement by very cumbersome tidal data recovering, arrangement and editing, not only inefficiency, the accuracy of data and complete
Whole property is also difficult to ensure that.3rd, live detection business is quickly grown, and the operating efficiency of single team is far not by far up to the mark,
Many team collaborations are imperative.But, the participation of many team also brings the course of work normative and the work product quality good and the bad
Uneven, the management of standardized work requires also urgent all the more.Although 4th, PMS system have accumulated a large amount of valuable data, but
Because the reasons such as place, equipment, network can not be utilized effectively in the work on the spot of live detection.
The many establishing criterias of judgement of existing live detection data are carried out, but there is certain defect in practice, such as
It is on abnormal judgement in infrared measurement of temperature：1st, absolute temperature is not exceeded；2nd, ABC three-phases are not exceeded with respect to temperature rise.As sentencing
According to if certain equipment three-phase temperature is higher, but relative temperature difference is less, and absolute temperature is not exceeded, then this equipment is not determined as different
Often.To find out its cause, existing criterion is mainly for individual equipment, for the purpose of ensureing not occur emergency in operation.Mesh
Before, live detection works to be developed to lean, and target is not from " emergency occurs for guarantee " to " lean grasp equipment state "
Development (such as " outpatient service, emergency treatment " to " physical examination "), original technology standard is incompatible therewith, it is necessary to further development.
The content of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of judged result precision
The credible high data auxiliary judgment method based on dynamic statistics of high, auxiliary judgment.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of data auxiliary judgment method based on dynamic statistics, this method is sentenced to the live detection data of collection in standard
The disconnected setting according on the basis of notes threshold interval, specifically includes：
The first judgment step tentatively judged according to standard basis for estimation；
Live detection data are carried out with data statistics and the statistic procedure for noting threshold interval is set according to statistical result；
According to the live detection data of each equipment under test and set note threshold interval progress auxiliary judgment second
Judgment step.
Carry out before first judgment step, equipment under test is grouped.
In the statistic procedure, the result of data statistics includes maximum, minimum value, average value and mean square deviation.
The attention threshold interval is (T1, T2), wherein, T1=M-nS, T2=M+nS, M are average value, and S is mean square deviation, n
For constant, n values are 1.6~1.7.
In second judgment step, by the live detection data of each equipment under test with noticing that threshold interval is compared,
It will not belong to notice that the equipment under test corresponding to the live detection data in threshold interval is marked.
When each equipment under test carries out live detection data acquisition, environmental factor is consistent with tester.
The data auxiliary judgment method is applied to chromatogram in infrared measurement of temperature, type local-discharge ultrasonic detection, partial discharge ultra-high-frequency detection, oil
In detection, SF6 water content detections and leakage current of an arrester detection.
Compared with prior art, the present invention has advantages below：
1) present invention is counted on the basis of standard basis for estimation to detection data, by single devices state and entirety
Equipment state is combined, and improves the precision of judged result；
2) present invention can evade the influence of each extraneous factor to greatest extent, improve the credibility of auxiliary judgment；
3) the live detection method that all testing results are represented with numeric form is present invention can be suitably applied to, it is applied widely.
Embodiment
With reference to specific embodiment, the present invention is described in detail.The present embodiment is premised on technical solution of the present invention
Implemented, give detailed embodiment and specific operating process, but protection scope of the present invention be not limited to it is following
Embodiment.
The present embodiment provides a kind of data auxiliary judgment method based on dynamic statistics, live detection of this method to collection
Data set attention threshold interval on the basis of standard basis for estimation, specifically include：
First judgment step, is tentatively judged according to standard basis for estimation, is carried out before first judgment step, to quilt
Measurement equipment is grouped.
Live detection data are carried out data statistics, and note threshold interval according to statistical result setting by statistic procedure.Number
Result according to statistics includes maximum, minimum value, average value and mean square deviation.It is (T to note threshold interval1, T2), wherein, T1=M-
NS, T2=M+nS, M are average value, and S is mean square deviation, and n is constant, and n values are 1.6~1.7.The present embodiment, n is taken as 1.65.
Second judgment step, is carried out auxiliary according to the live detection data of each equipment under test and set attention threshold interval
Judgement is helped, by the live detection data of each equipment under test with noticing that threshold interval is compared, will not belong to note threshold interval
Equipment under test corresponding to interior live detection data is marked.
When each equipment under test carries out live detection data acquisition, environmental factor, tester are consistent with tester or connect
It is near consistent, the influence of extraneous factor is evaded to greatest extent, the credibility of auxiliary judgment is improved.
Above-mentioned data auxiliary judgment method can be applied in infrared measurement of temperature, type local-discharge ultrasonic detection, partial discharge ultra-high-frequency detection, oil
In chromatogram detection, SF6 water content detections and leakage current of an arrester detection.
By taking infrared detection as an example, above-mentioned data auxiliary judgment method can be described as：
1) in whole station detection, equipment is grouped by species, voltage, such as 500kV arresters, 220kV arresters；
2) by live detection data according to standard basis for estimation " 1, absolute temperature it is not exceeded；2nd, ABC three-phases are not with respect to temperature rise
It is exceeded " just sentence；
3) all data of our station are subjected to real-time dynamic statistics analysis, obtain maximum, minimum value, average value and square
Difference, and attention threshold interval is set；
4) by all detection data with noticing that threshold value compares, the data not in attention threshold interval are marked,
And remind test group.
Above-mentioned data auxiliary judgment method can be applied in infrared measurement of temperature, type local-discharge ultrasonic detection, partial discharge ultra-high-frequency detection, oil
The live detection that the testing results such as chromatogram detection, SF6 water content detections and leakage current of an arrester detection can be represented with numeric form
In method.
Specific data explanation is carried out by taking infrared measurement of temperature as an example.500kV MOA (arrester) temperature measurement data is as shown in table 1.
The 500kV MOA temperature measurement datas of table 1 are analyzed
Judged result is as follows：
1) preliminary to judge, detection data are normal；
2) data statistics is carried out, statistical result is obtained, as shown in table 2, is calculated according to statistical result and notes threshold interval
(12.28,15.27)；
Table 2
| N | Minimum | Maximum | Mean | Std.Deviation |
| 30 | 12.70 | 16.40 | 13.7833 | .90557 |
3) by detection data with noticing that threshold interval is compared, 12.28 or setting more than 15.27 are less than to detection data
It is standby to be marked, remind No. 4 main transformer 500kV arrester A phases and No. 4 main transformer 500kV arresters B in tester, such as table 1
Phase.
Claims (6)
1. a kind of data auxiliary judgment method based on dynamic statistics, it is characterised in that live detection number of this method to collection
According to the setting attention threshold interval on the basis of standard basis for estimation, specifically include：
The first judgment step tentatively judged according to standard basis for estimation；
Live detection data are carried out with data statistics and the statistic procedure for noting threshold interval is set according to statistical result；
According to the live detection data of each equipment under test and set the second judgement for noting threshold interval progress auxiliary judgment
Step.
2. the data auxiliary judgment method according to claim 1 based on dynamic statistics, it is characterised in that carry out described the
Before one judgment step, equipment under test is grouped.
3. the data auxiliary judgment method according to claim 1 based on dynamic statistics, it is characterised in that the statistics step
In rapid, the result of data statistics includes maximum, minimum value, average value and mean square deviation.
4. the data auxiliary judgment method according to claim 3 based on dynamic statistics, it is characterised in that the threshold of attention
Interval value is (T1, T2), wherein, T1=M-nS, T2=M+nS, M are average value, and S is mean square deviation, and n is constant, and n values are 1.6
~1.7.
5. the data auxiliary judgment method according to claim 1 based on dynamic statistics, it is characterised in that described second sentences
In disconnected step, by the live detection data of each equipment under test with noticing that threshold interval is compared, it will not belong to note threshold zone
Equipment under test corresponding to interior live detection data is marked.
6. the data auxiliary judgment method according to claim 1 based on dynamic statistics, it is characterised in that the data are aided in
Determination methods be applied to infrared measurement of temperature, type local-discharge ultrasonic detection, partial discharge ultra-high-frequency detection, oil in chromatogram detect, SF6 water content detections and
In leakage current of an arrester detection.
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| CN109000714A (en) * | 2018-05-31 | 2018-12-14 | 广东新康博思信息技术有限公司 | It is a kind of based on the pollution source monitoring system acquired in real time |
| CN108956869A (en) * | 2018-06-04 | 2018-12-07 | 广东新康博思信息技术有限公司 | It is a kind of based on the environmental quality management system acquired in real time |
| CN108593006A (en) * | 2018-06-04 | 2018-09-28 | 广东新康博思信息技术有限公司 | It is a kind of based on the pollution source management system acquired in real time |
| CN109462112B (en) * | 2018-09-27 | 2020-11-13 | 珠海格力电器股份有限公司 | Terminal processing method, processing device and switching device |
| CN113704186B (en) * | 2021-11-01 | 2022-02-08 | 云账户技术(天津)有限公司 | Alarm event generation method and device, electronic equipment and readable storage medium |
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| CN103051494A (en) * | 2012-12-19 | 2013-04-17 | 国家电网公司 | Method and system for comprehensive charged detection of power equipment |
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| CN103051494A (en) * | 2012-12-19 | 2013-04-17 | 国家电网公司 | Method and system for comprehensive charged detection of power equipment |
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