CN107423790A - The selective storage method of transformer equipment temperature - Google Patents
The selective storage method of transformer equipment temperature Download PDFInfo
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- CN107423790A CN107423790A CN201710675904.8A CN201710675904A CN107423790A CN 107423790 A CN107423790 A CN 107423790A CN 201710675904 A CN201710675904 A CN 201710675904A CN 107423790 A CN107423790 A CN 107423790A
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- period
- day
- temperature
- transformer equipment
- operating temperature
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
- G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
- G06K7/1097—Optical sensing of electronic memory record carriers, such as interrogation of RFIDs with an additional optical interface
Abstract
The present invention relates to a kind of selective storage method of transformer equipment temperature, comprising：S1, continuous acquisition obtain target transformer equipment and are working as the operational temperature curve of the day before yesterday, and obtain operating temperature history curve of the target transformer equipment in sample day；S2, to the sample per day division period, calculate the temperature departure coefficient of sample day each period；S3, the temperature departure coefficient of the day before yesterday each period is worked as to current per day division period, calculating；S4, the operating temperature storage mark for working as the day before yesterday each period is calculated, and according to the operating temperature storage mark, the storage of selectivity is carried out to the operating temperature of each period.The present invention can realize the continuous sampling of device temperature by RFID, and carry out selective storage, can both reduce design cost, lift detection speed, and and can increases RFID detection frequency, improves accuracy of detection.
Description
Technical field
The present invention relates to a kind of temperature storage method of transformer equipment, in particular to the transformer based on RFID collections is set
Standby temperature selectivity storage method, belongs to Protection Technology.
Background technology
Power transformer equipment has very important effect in power transmission and distribution link.Therefore, to transformer equipment
Stateful Inspection is carried out, timely discovering device potential faults, the normal operation for ensureing power equipment is operation power maintenance department
Vital task.
When transformer equipment is under particular job environment such as high pressure, sealing, the temperature of transformer equipment is monitored, is hair
One of method whether existing transformer equipment breaks down.In the prior art, the temperature acquisition system based on RFID, by RFID
The influence of detection mode, the requirement for memory space is very strict, if detection cycle is too small, collection numerical value is excessive, will increase
Big storage relies on；Conversely, detection cycle is excessive, mass of redundancy data is brought, systematic function will be reduced.
Therefore, selective storage is carried out to data, can both reduces design cost, lift detection speed, and can enough increases
RFID detection frequency, improve accuracy of detection.Based on a kind of above-mentioned, the selectivity storage of transformer equipment temperature of present invention proposition
Method.
The content of the invention
It is an object of the invention to provide a kind of selective storage method of transformer equipment temperature, can be realized by RFID
The continuous sampling of device temperature, and selective storage is carried out, design cost can be both reduced, lifts detection speed, and can increase
RFID detection frequency, improve accuracy of detection.
To achieve the above object, the present invention provides a kind of selective storage method of transformer equipment temperature, comprising following
Step：
S1, continuous acquisition obtain target transformer equipment and are working as the operational temperature curve of the day before yesterday, and obtain target transformer
Operating temperature history curve of the equipment in sample day；
S2, to the sample per day division period, calculate the temperature departure coefficient of sample day each period；
S3, the temperature departure coefficient of the day before yesterday each period is worked as to current per day division period, calculating；
S4, the operating temperature storage mark for working as the day before yesterday each period is calculated, and according to the operating temperature storage mark, to every
The operating temperature of individual period carries out the storage of selectivity.
In described S1, specifically comprise the steps of：
S11, target transformer equipment is obtained based on RFID continuous acquisitions when the operational temperature curve of the day before yesterday；
S12, target transformer equipment is calculated when the per day operating temperature of the day before yesterday and the day of previous year all history days
The difference of average operating temperature；
S13, the history day minimum wherein with the per day operating temperature difference when the day before yesterday is selected as sample day；
S14, obtain operating temperature history curve of the target transformer equipment in sample day.
In described S2, specifically comprise the steps of：
S21, it is divided into N number of period, and N by sample is per day>288；
S22, according to operating temperature history curve of the target transformer equipment in sample day, at interval of Δ t time, obtain
The operating temperature of each period of the target transformer equipment in sample day；Wherein, when Δ t is adjacent 2 between the intersegmental time
Every；
S23, the temperature departure coefficient for calculating sample day each period：
Si=(Ti-0.5×Ti-1-0.3×Ti-2-0.2×Ti-3)/3；
Wherein, TiThe operating temperature for i-th of period for being target transformer equipment in sample day, and 4≤i≤N；SiFor
The temperature departure coefficient of i-th period of the target transformer equipment in sample day, and S1=S2=S3=0.
In described S3, specifically comprise the steps of：
S31, by current per day it is divided into N number of period；
S32, according to target transformer equipment when the operational temperature curve of the day before yesterday, at interval of Δ t time, obtain target
Transformer equipment is when the operating temperature of each period in the day before yesterday；
S33, calculate the temperature departure coefficient for working as the day before yesterday each period：
wi=(T'i-0.5×T'i-1-0.3×T'i-2-0.2×T'i-3)/3；
Wherein, T'iFor operating temperature of the target transformer equipment in i-th of period in the day before yesterday, and 4≤i≤N；wiFor
The temperature departure coefficient of i-th period of the target transformer equipment in the day before yesterday is worked as, and w1=w2=w3=0.
In described S4, specifically comprise the steps of：
S41, the operating temperature storage mark for working as the day before yesterday each period is calculated, be specially：
Wherein, βiTo work as the operating temperature value storage mark of i-th of period of the day before yesterday, and 4≤i≤N, and β1=β2=β3
=1；
S42, work as βiWhen=1, selection storage is when the operating temperature of i-th of period of the day before yesterday；Work as βiWhen=0, selection, which does not store, works as
The operating temperature of i-th of period of the day before yesterday.
In summary, the selective storage method of transformer equipment temperature provided by the present invention, realized and set by RFID
The continuous sampling of standby temperature, and selective storage is carried out, design cost can be both reduced, lifts detection speed, and can enough increases
Big RFID detection frequency, improves accuracy of detection.
Brief description of the drawings
Fig. 1 is the flow chart of the selective storage method of the transformer equipment temperature in the present invention.
Embodiment
Below in conjunction with Fig. 1, a preferred embodiment of the present invention is described in detail.
As shown in figure 1, for the selective storage method of transformer equipment temperature provided by the present invention, following step is included
Suddenly：
S1, continuous acquisition obtain target transformer equipment and are working as the operational temperature curve of the day before yesterday, and obtain target transformer
Operating temperature history curve of the equipment in sample day；
S2, to the sample per day division period, calculate the temperature departure coefficient of sample day each period；
S3, the temperature departure coefficient of the day before yesterday each period is worked as to current per day division period, calculating；
S4, the operating temperature storage mark for working as the day before yesterday each period is calculated, and according to the operating temperature storage mark, to every
The operating temperature of individual period carries out the storage of selectivity.
In described S1, specifically comprise the steps of：
S11, obtained based on RFID (Radio Frequency Identification, radio frequency identification) continuous acquisition
Target transformer equipment is when the operational temperature curve of the day before yesterday；
S12, target transformer equipment is calculated when the per day operating temperature of the day before yesterday and the day of previous year all history days
The difference of average operating temperature；
S13, the history day minimum wherein with the per day operating temperature difference when the day before yesterday is selected as sample day；
S14, obtain operating temperature history curve of the target transformer equipment in sample day.
In described S2, specifically comprise the steps of：
S21, it is divided into N number of period, and N by sample is per day>288；
S22, according to operating temperature history curve of the target transformer equipment in sample day, at interval of Δ t time, obtain
The operating temperature of each period of the target transformer equipment in sample day；Wherein, when Δ t is adjacent 2 between the intersegmental time
Every；
S23, the temperature departure coefficient for calculating sample day each period：
Si=(Ti-0.5×Ti-1-0.3×Ti-2-0.2×Ti-3)/3；
Wherein, TiThe operating temperature for i-th of period for being target transformer equipment in sample day, and 4≤i≤N；SiFor
The temperature departure coefficient of i-th period of the target transformer equipment in sample day, and S1=S2=S3=0.
In an above-mentioned steps S2 preferred embodiment, N takes 300, i.e., is divided into 300 periods by sample is per day,
Operating temperature history curve is sampled at interval of Δ t=4.8 minutes, it is every in sample day to obtain target transformer equipment
The operating temperature of individual period.
In described S3, specifically comprise the steps of：
S31, by current per day it is divided into N number of period；
S32, according to target transformer equipment when the operational temperature curve of the day before yesterday, at interval of Δ t time, obtain target
Transformer equipment is when the operating temperature of each period in the day before yesterday；
S33, calculate the temperature departure coefficient for working as the day before yesterday each period：
wi=(T'i-0.5×T'i-1-0.3×T'i-2-0.2×T'i-3)/3；
Wherein, T'iFor operating temperature of the target transformer equipment in i-th of period in the day before yesterday, and 4≤i≤N；wiFor
The temperature departure coefficient of i-th period of the target transformer equipment in the day before yesterday is worked as, and w1=w2=w3=0.
Likewise, in a preferred embodiment in above-mentioned steps S3, N takes 300, also will be averagely divided into when the day before yesterday
300 periods, operational temperature curve is sampled at interval of Δ t=4.8 minutes, obtain target transformer equipment and working as the day before yesterday
In each period operating temperature.
In described S4, specifically comprise the steps of：
S41, the operating temperature storage mark for working as the day before yesterday each period is calculated, be specially：
Wherein, βiTo work as the operating temperature value storage mark of i-th of period of the day before yesterday, and 4≤i≤N, and β1=β2=β3
=1；
S42, work as βiWhen=1, selection storage is when the operating temperature of i-th of period of the day before yesterday；Work as βiWhen=0, selection, which does not store, works as
The operating temperature of i-th of period of the day before yesterday.
In summary, the selective storage method of transformer equipment temperature provided by the present invention, realized and set by RFID
The continuous sampling of standby temperature, and selective storage is carried out, design cost can be both reduced, lifts detection speed, and can enough increases
Big RFID detection frequency, improves accuracy of detection.
Although present disclosure is discussed in detail by above preferred embodiment, but it should be appreciated that above-mentioned
Description is not considered as limitation of the present invention.After those skilled in the art have read the above, for the present invention's
A variety of modifications and substitutions all will be apparent.Therefore, protection scope of the present invention should be limited to the appended claims.
Claims (5)
1. a kind of selective storage method of transformer equipment temperature, it is characterised in that comprise the steps of：
S1, continuous acquisition obtain target transformer equipment and are working as the operational temperature curve of the day before yesterday, and obtain target transformer equipment
In the operating temperature history curve of sample day；
S2, to the sample per day division period, calculate the temperature departure coefficient of sample day each period；
S3, the temperature departure coefficient of the day before yesterday each period is worked as to current per day division period, calculating；
S4, calculate operating temperature storage mark when the day before yesterday each period, and according to the operating temperature storage mark, to it is each when
The operating temperature of section carries out the storage of selectivity.
2. the selective storage method of transformer equipment temperature as claimed in claim 1, it is characterised in that in described S1,
Specifically comprise the steps of：
S11, target transformer equipment is obtained based on RFID continuous acquisitions when the operational temperature curve of the day before yesterday；
S12, calculate target transformer equipment when the day before yesterday per day operating temperature and previous year all history days it is per day
The difference of operating temperature；
S13, the history day minimum wherein with the per day operating temperature difference when the day before yesterday is selected as sample day；
S14, obtain operating temperature history curve of the target transformer equipment in sample day.
3. the selective storage method of transformer equipment temperature as claimed in claim 2, it is characterised in that in described S2,
Specifically comprise the steps of：
S21, it is divided into N number of period, and N by sample is per day>288；
S22, according to operating temperature history curve of the target transformer equipment in sample day, at interval of Δ t time, obtain target
The operating temperature of each period of the transformer equipment in sample day；Wherein, intersegmental time interval when Δ t is adjacent 2；
S23, the temperature departure coefficient for calculating sample day each period：
Si=(Ti-0.5×Ti-1-0.3×Ti-2-0.2×Ti-3)/3；
Wherein, TiThe operating temperature for i-th of period for being target transformer equipment in sample day, and 4≤i≤N；SiFor target
The temperature departure coefficient of i-th period of the transformer equipment in sample day, and S1=S2=S3=0.
4. the selective storage method of transformer equipment temperature as claimed in claim 3, it is characterised in that in described S3,
Specifically comprise the steps of：
S31, by current per day it is divided into N number of period；
S32, according to target transformer equipment when the operational temperature curve of the day before yesterday, at interval of Δ t time, obtain target transformation
Device equipment is when the operating temperature of each period in the day before yesterday；
S33, calculate the temperature departure coefficient for working as the day before yesterday each period：
wi=(T'i-0.5×T'i-1-0.3×T'i-2-0.2×T'i-3)/3；
Wherein, T'iFor operating temperature of the target transformer equipment in i-th of period in the day before yesterday, and 4≤i≤N；wiFor target
The temperature departure coefficient of i-th period of the transformer equipment in the day before yesterday is worked as, and w1=w2=w3=0.
5. the selective storage method of transformer equipment temperature as claimed in claim 4, it is characterised in that in described S4,
Specifically comprise the steps of：
S41, the operating temperature storage mark for working as the day before yesterday each period is calculated, be specially：
Wherein, βiTo work as the operating temperature value storage mark of i-th of period of the day before yesterday, and 4≤i≤N, and β1=β2=β3=1；
S42, work as βiWhen=1, selection storage is when the operating temperature of i-th of period of the day before yesterday；Work as βiWhen=0, selection, which does not store, works as the day before yesterday
The operating temperature of i-th of period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710675904.8A CN107423790A (en) | 2017-08-09 | 2017-08-09 | The selective storage method of transformer equipment temperature |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710675904.8A CN107423790A (en) | 2017-08-09 | 2017-08-09 | The selective storage method of transformer equipment temperature |
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| Publication Number | Publication Date |
|---|---|
| CN107423790A true CN107423790A (en) | 2017-12-01 |
Family
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| CN201710675904.8A Pending CN107423790A (en) | 2017-08-09 | 2017-08-09 | The selective storage method of transformer equipment temperature |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111754021A (en) * | 2020-05-19 | 2020-10-09 | 上海申瑞继保电气有限公司 | Method for predicting running condition of traction transformer of railway traction substation |
Citations (5)
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|---|---|---|---|---|
| JPH09171324A (en) * | 1995-12-19 | 1997-06-30 | Tec Corp | Detecting method for abnormality of thermal fixing device |
| CN101526819A (en) * | 2009-02-23 | 2009-09-09 | 重庆大学 | Structural health monitoring intelligent data processing method featuring personified memory and module thereof |
| CN103207887A (en) * | 2013-01-14 | 2013-07-17 | 广州佳都信息技术研发有限公司 | Efficient historical trend data storage method |
| CN103856366A (en) * | 2012-12-06 | 2014-06-11 | 腾讯科技（深圳）有限公司 | Method and system for monitoring platform data |
| CN105740124A (en) * | 2016-02-01 | 2016-07-06 | 南京邮电大学 | Redundant data filtering method oriented to cloud computing monitoring system |
-
2017
- 2017-08-09 CN CN201710675904.8A patent/CN107423790A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09171324A (en) * | 1995-12-19 | 1997-06-30 | Tec Corp | Detecting method for abnormality of thermal fixing device |
| CN101526819A (en) * | 2009-02-23 | 2009-09-09 | 重庆大学 | Structural health monitoring intelligent data processing method featuring personified memory and module thereof |
| CN103856366A (en) * | 2012-12-06 | 2014-06-11 | 腾讯科技（深圳）有限公司 | Method and system for monitoring platform data |
| CN103207887A (en) * | 2013-01-14 | 2013-07-17 | 广州佳都信息技术研发有限公司 | Efficient historical trend data storage method |
| CN105740124A (en) * | 2016-02-01 | 2016-07-06 | 南京邮电大学 | Redundant data filtering method oriented to cloud computing monitoring system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111754021A (en) * | 2020-05-19 | 2020-10-09 | 上海申瑞继保电气有限公司 | Method for predicting running condition of traction transformer of railway traction substation |
| CN111754021B (en) * | 2020-05-19 | 2024-02-09 | 上海申瑞继保电气有限公司 | Traction transformer operation condition prediction method for railway traction substation |
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| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171201 |
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| RJ01 | Rejection of invention patent application after publication |