CN103278244A - Monitoring method and monitoring system for overheat fault of transformer - Google Patents
Monitoring method and monitoring system for overheat fault of transformer Download PDFInfo
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Abstract
The invention belongs to the technical field of electrical equipment monitoring and relates to a monitoring method and a monitoring system for an overheat fault of a transformer. The technical problems that traditional monitoring methods and monitoring systems in the prior art are not reasonable enough and the like are solved by the invention. The monitoring system comprises the following steps: A, thermal image acquisition; B, image recognition processing; and C, fault diagnosis and processing. The monitoring method and the monitoring system for the overheat fault of the transformer have the advantages that acquired image information is recognized by adopting a non-contact monitoring mode to realize fast recognition and diagnose of the part, the degree the type of the early potential fault of the transformer. The monitoring method and the monitoring system for the overheat fault of the transformer have the characteristics that the safety, the reliability and the efficiency are high. Meanwhile, by utilizing the non-contact monitoring mode, a condition is provided for realizing all-weather state monitoring on the transformer on the premise that the operation of the transformer is not influenced, and therefore, the safe, stable and reliable operation of equipment is ensured, the maintenance level of the transformer is comprehensively promoted, and the maintenance cost is reduced. The system is reasonable in design, simple in structure, good in working stability and high in fault detection rate.
Description
Technical field
The invention belongs to the electric apparatus monitoring technical field, relate to transformer monitoring, especially relate to a kind of monitoring method and monitoring system thereof of transformer overheating fault.
Background technology
Electric system just is in the evolutionary process of the development of continuous technical renovation all the time from it is born.Current continuous growth owing to electricity needs, the rising of power cost; National environmental protection pressure increases; The continuous proposition of electric power correlation technique and standard, country is more and more higher to the requirement of power system security, stability and economy, and traditional electric system is faced with increasing challenge.Be badly in need of improving in the global environment situation, new energy development is today of development constantly, for realizing that sustainable development and regenerative resource proportion constantly increase and the transformation of power generation mode, the further investigation of " intelligent grid " becomes important directions and the inexorable trend of 21 century various countries' development.
Relatively more commonly used is to adopt handheld thermal imager regularly power equipment to be carried out manual inspection at present, this mode makes that monitoring personnel workload is big, add and save preceding guarantor's electricity, meet unplanned thermometric work such as kurtosis vacation, cause the monitoring personnel tired easily, increase the insecurity of work, also reduced the recall rate of equipment failure simultaneously.In addition, because power system development is very fast in recent years, power equipment is more, and some transformer station is far away, thereby cause thermometric often not carry out at load boom period, so that the portion of hot defective can not be found in time, equally also reduce the recall rate of equipment failure.
For this reason, people have carried out long-term exploration, have proposed various solutions.For example, Chinese patent literature discloses a kind of transformer temperature check test device and temperature monitoring system fault checking method [application number: 201210531381.7], and device comprises the precision resister group of being made up of a plurality of resistance of resistance input terminal, function change-over lever, temperature transmitter input terminal, simulation device being tested thermistor, temperature transmitter, dc power supply terminal, temperature transmitter lead-out terminal and the casing of simulating the device being tested temperature transmitter; The resistance input terminal of resistance input terminal, temperature transmitter input terminal, precision resister group, the temperature transmitter associated terminal of connection function change-over lever respectively joins, and the resistance lead-out terminal of temperature transmitter and dc power supply terminal join with temperature transmitter lead-out terminal, dc power supply terminal respectively.The somebody has invented a kind of substation transformer failure monitoring terminal [application number: 201020257078.9], comprise main control chip, the signal input part of main control chip connects for gathering three-phase current, the three-phase current of voltage signal, voltage input circuit, and the switching signal input circuit that is used for gathering the killer switch position signalling, the signal output part of main control chip links to each other with isolating switch, the signal output part of main control chip and main website communication.
Though such scheme has improved monitoring efficiency and monitoring reliability to a certain extent, still exists the ubiquitous technical matters of prior art, for example automaticity is lower, and operation is used convenient inadequately, and the fault recall rate is lower etc.
Summary of the invention
The objective of the invention is at the problems referred to above, provide a kind of easy to implement, do not influence the transformer operate as normal, the monitoring method of the transformer overheating fault that the fault recall rate is high.
Another object of the present invention provides a kind of reasonable in design, and is simple in structure, the monitoring system of the transformer overheating fault of good operating stability.
For achieving the above object, the present invention has adopted following technical proposal: the monitoring method of transformer overheating fault is characterized in that this monitoring method comprises the steps:
A, thermal imaging figure gather: contactless monitoring is carried out in the transformer zone of easily breaking down, and the transformer thermal imaging figure in acquisition monitoring zone transfers to industrial computer then;
B, image identification are handled: industrial computer carries out identification with the transformer thermal imaging figure that collects to be handled, and judges whether transformer exists overheating fault;
C, fault are judged and are handled: if there is not overheating fault in monitored transformer, then proceed monitoring; If there is overheating fault in monitored transformer, then send alerting signal.
Transformer belongs to high die pressing product, and the present invention adopts the method for contactless monitoring, guarantees personnel's safety.Transformer among the present invention zone of easily breaking down refers to zones such as bushing.The present invention adopts the mode of contactless monitoring, based on image identification, can realize quick identification and diagnosis to position, degree and the type of the early stage potential overheating fault of transformer.
In the detection method of above-mentioned transformer overheating fault, in above-mentioned steps A, utilize the infrared thermal imaging video camera to gather easily the break down transformer thermal imaging figure in zone of transformer, and the original image of described transformer thermal imaging figure is the 256 color shade figure of 0-255, by described infrared thermal imaging video camera pseudo-colours mapping the YUV color is converted into rgb color, obtains the transformer thermal imaging figure of corresponding relevant temperature then by rgb color and temperature map.
In the detection method of above-mentioned transformer overheating fault, in above-mentioned steps A, described YUV color is converted into the conversion formula of rgb color:
R=Y+1.402*(U-128)；
G=Y-0.344414*(V-128)-0.71414*(U-128)；
B=Y+1.772*(V-128)；
In the formula, Y is that luminance signal, U are that first carrier chrominance signal, V are that second carrier chrominance signal, R are that red color intensity value, G are that green intensity value, B are blue intensity values.
In the detection method of above-mentioned transformer overheating fault, described transformer thermal imaging figure is m*n rank matrix pixel figure, and m and n are positive integer, and m represents the pixel count on the transformer thermal imaging figure horizontal line, and n represents transformer thermal imaging figure horizontal line quantity.
In the detection method of above-mentioned transformer overheating fault, in above-mentioned step B, each gray values of pixel points to transformer thermal imaging figure is weighted average computation, obtain the weighted mean gray-scale value of the transformer thermal imaging figure of guarded region, overheating fault threshold values with weighted mean gray-scale value and setting compares then, then judge and overheating fault do not occur if the weighted mean gray-scale value is less than or equal to the overheating fault threshold values overheating fault occurs if the weighted mean gray-scale value is then judged greater than the overheating fault threshold values.
In the detection method of above-mentioned transformer overheating fault, described weighted mean gray-scale value and overheating fault threshold values represent with number percent that respectively the gray-scale value of described overheating fault threshold values is 10%; If overheating fault does not appear in weighted mean gray-scale value≤10% judgement, if overheating fault appears in weighted mean gray-scale value＞10% judgement.Be that gray-scale value is that 10% corresponding temperature value is the temperature threshold values of transformer overheating fault, surpass this temperature weighted average gray value＞10% judgement and overheating fault occurs, be less than or equal to this temperature weighted average gray value≤10% judgement and overheating fault do not occur.
As another kind of scheme, in the detection method of above-mentioned transformer overheating fault, described overheating fault threshold values is according to the influence factor adjustment that comprises load, environment temperature, ambient humidity that collects.The temperature in transformer control zone can change along with conditions such as room temperature, weather, loads, and the temperature that produces fault also changes thereupon, and this programme adopts the overheating fault threshold values that changes for this reason.In addition, when carrying out the judgement of thermal imaging figure fault, the filter condition of setting judgement is: room temperature is than≤10%; 24 hours time.The picture that satisfies condition before guarded region transformer thermal imaging figure and 24 hours is compared, then do not skip if do not satisfy.Satisfy filtrator and impose a condition, the fault judgement is made as gray-scale value≤10%, satisfies then non-fault of this scope, proceeds monitoring; As surpassing 10%, represent that then guarded region breaks down.
In the detection method of above-mentioned transformer overheating fault, overheating fault takes place if judge the transformer control zone, then carry out sound and light alarm and/or the mode by SMS alarm sends to the SMS (Short Messaging Service) receiving terminal with failure message; Figure sets up information bank according to the transformer thermal imaging, to judge transformer fault grade and type; When the transformer thermal imaging figure in acquisition monitoring zone, carry out heartbeat monitor in real time, if can't collect then restarting equipment or restart system of transformer thermal imaging figure.
The monitoring system of transformer overheating fault, it is characterized in that, native system comprise at least one be arranged on transformer easily break down the zone the infrared thermal imaging video camera that can gather transformer thermal imaging figure, described infrared thermal imaging video camera links to each other with industrial computer by wireless and/or wire communication mode, is connected with alarm mechanism and monitoring terminal on the described industrial computer.
In the monitoring system of above-mentioned transformer overheating fault, also be connected with the server for storage transformer thermal imaging figure on the described industrial computer; Described alarm mechanism comprise in acoustic-optic alarm, the SMS (Short Messaging Service) receiving terminal any one or multiple; Also be connected with on the described industrial computer load detection device for detection of transformer load, for detection of the temperature-detecting device of environment temperature, for detection of in the humidity detector of ambient humidity any one or multiple.
Compared with prior art, the monitoring method of this transformer overheating fault and the advantage of monitoring system thereof are: the mode that adopts contactless monitoring, the image information of gathering is carried out identification, realization has security, reliability, characteristics of high efficiency to quick identification and the diagnosis of position, degree and the type of the early stage incipient fault of transformer.Simultaneously, utilize contactless monitor mode, under the prerequisite that does not influence the transformer operation, realize round-the-clock status monitoring for transformer condition is provided, guaranteed safe, stable, the operation reliably of equipment, promote the required level of service of transformer comprehensively, reduce O﹠M cost.System is reasonable in design, and is simple in structure, good operating stability, fault recall rate height.
Description of drawings
Fig. 1 is network topology structure synoptic diagram provided by the invention;
Fig. 2 is infrared thermal imaging figure mapping relations synoptic diagram provided by the invention;
Fig. 3 is the process flow diagram of transformer overheating fault monitoring provided by the invention.
Among the figure, transformer 1, infrared thermal imaging video camera 2, industrial computer 3, alarm mechanism 4, acoustic-optic alarm 41, SMS (Short Messaging Service) receiving terminal 42, monitoring terminal 5, server 6.
Embodiment
As Figure 1-3, the monitoring method of this transformer overheating fault, this monitoring method comprises the steps:
A, thermal imaging figure gather: contactless monitoring is carried out in the transformer zone of easily breaking down, and the transformer thermal imaging figure in acquisition monitoring zone transfers to industrial computer then; B, image identification are handled: industrial computer carries out identification with the transformer thermal imaging figure that collects to be handled, and judges whether transformer exists overheating fault; C, fault are judged and are handled: if there is not overheating fault in monitored transformer, then proceed monitoring; If there is overheating fault in monitored transformer, then send alerting signal.Transformer belongs to high die pressing product, and the present invention adopts the method for contactless monitoring, guarantees personnel's safety.Transformer among the present invention zone of easily breaking down refers to zones such as bushing.The present invention adopts the mode of contactless monitoring, based on image identification, can realize quick identification and diagnosis to position, degree and the type of the early stage potential overheating fault of transformer.
In above-mentioned steps A, utilize the infrared thermal imaging video camera to gather easily the break down transformer thermal imaging figure in zone of transformer, and the original image of described transformer thermal imaging figure is the 256 color shade figure of 0-255, by described infrared thermal imaging video camera pseudo-colours mapping the YUV color is converted into rgb color, obtains the transformer thermal imaging figure of corresponding relevant temperature then by rgb color and temperature map.In above-mentioned steps A, described YUV color is converted into the conversion formula of rgb color:
R=Y+1.402*(U-128)；
G=Y-0.344414*(V-128)-0.71414*(U-128)；
B=Y+1.772*(V-128)；
In the formula, Y is that luminance signal, U are that first carrier chrominance signal, V are that second carrier chrominance signal, R are that red color intensity value, G are that green intensity value, B are blue intensity values.It is the mapping table that gray scale arrives color.According to color map, be converted into relevant temperature and represent, namely finish color to the mapping table of temperature.Like this, by the mapping of---color---temperature to gray scale, can carry out identification by the thermal imaging picture to the fault of guarded region preferably, for the transformer safe operation provides quality assurance.
Transformer thermal imaging figure is m*n rank matrix pixel figure, and m and n are positive integer, and m represents the pixel count on the transformer thermal imaging figure horizontal line, and n represents transformer thermal imaging figure horizontal line quantity.
In above-mentioned step B, each gray values of pixel points to transformer thermal imaging figure is weighted average computation, obtain the weighted mean gray-scale value of the transformer thermal imaging figure of guarded region, overheating fault threshold values with weighted mean gray-scale value and setting compares then, then judge and overheating fault do not occur if the weighted mean gray-scale value is less than or equal to the overheating fault threshold values overheating fault occurs if the weighted mean gray-scale value is then judged greater than the overheating fault threshold values.Weighted mean gray-scale value and overheating fault threshold values represent with number percent that respectively the gray-scale value of overheating fault threshold values is 10%; If overheating fault does not appear in weighted mean gray-scale value≤10% judgement, if overheating fault appears in weighted mean gray-scale value＞10% judgement.
If judge the transformer control zone overheating fault taking place, then carries out sound and light alarm and/or the mode by SMS alarm sends to the SMS (Short Messaging Service) receiving terminal with failure message; Figure sets up information bank according to the transformer thermal imaging, to judge transformer fault grade and type; When the transformer thermal imaging figure in acquisition monitoring zone, carry out heartbeat monitor in real time, if can't collect then restarting equipment or restart system of transformer thermal imaging figure.
As another kind of scheme, the overheating fault threshold values is according to the influence factor adjustment that comprises load, environment temperature, ambient humidity that collects.The temperature in transformer control zone can change along with conditions such as room temperature, weather, loads, and the temperature that produces fault also changes thereupon, and this programme adopts the overheating fault threshold values that changes for this reason.In addition, when carrying out the judgement of thermal imaging figure fault, the filter condition of setting judgement is: room temperature is than≤10%; 24 hours time.The picture that satisfies condition before guarded region transformer thermal imaging figure and 24 hours is compared, then do not skip if do not satisfy.Satisfy filtrator and impose a condition, the fault judgement is made as gray-scale value≤10%, satisfies then non-fault of this scope, proceeds monitoring; As surpassing 10%, represent that then guarded region breaks down.
Particularly:
1. according to the selection of guarded region, the infrared thermal imaging video camera of correct position being installed, being set guarded region, is guarded region as selected transformer high-voltage sleeve pipe, m*n rank matrix area;
2. gather the transformer thermal imaging figure (monitoring figure) of transformer high-voltage sleeve pipe guarded region, be transferred to industrial computer by wire transmission mode;
3. according to the transformer thermal imaging figure that gathers (monitoring figure), based on the gray-scale value of image image is handled, extracted the gray-scale value of m*n rank each point of matrix guarded region;
4. with m*n rank matrix guarded region gray-scale value weighted mean, obtain the weighted mean gray-scale value of guarded region;
5. set relatively filtrator, condition enactment: room temperature is than≤10%; 24 hours time compared the guarded region gray-scale value picture of 4. step gained and the picture that satisfied condition before 24 hours, did not then skip if do not satisfy;
6. fault is judged, when 5. contrasting, satisfies filtrator and imposes a condition, and fault is judged and is made as gray-scale value≤10%, satisfies then non-fault of this scope, proceeds monitoring; As surpassing 10%, represent that then guarded region breaks down;
7. in 6., if judge the transformer control zone overheating fault takes place, then system carries out sound and light alarm, and by the mode of SMS alarm failure message is sent to relevant operator on duty.
8. associated picture information processing result transmission is preserved to data server, and by making the related personnel can observe transformer overheating fault monitored results at any time, guarantee the safe and stable operation of transformer.
The monitoring system of this transformer overheating fault comprise at least one be arranged on transformer 1 easily break down the zone the infrared thermal imaging video camera 2 that can gather transformer thermal imaging figure, described infrared thermal imaging video camera 2 links to each other with industrial computer 3 by wireless and/or wire communication mode, is connected with alarm mechanism 4 and monitoring terminal 5 on the described industrial computer 3.Also be connected with the server 6 for storage transformer thermal imaging figure on the industrial computer 3; Described alarm mechanism 4 comprise in acoustic-optic alarm 41, the SMS (Short Messaging Service) receiving terminal 42 any one or multiple; Also be connected with on the described industrial computer 3 load detection device for detection of transformer load, for detection of the temperature-detecting device of environment temperature, for detection of in the humidity detector of ambient humidity any one or multiple.
Specific embodiment described herein only is that the present invention's spirit is illustrated.Those skilled in the art can make various modifications or replenish or adopt similar mode to substitute described specific embodiment, but can't depart from spirit of the present invention or surmount the defined scope of appended claims.
Although this paper has used terms such as transformer 1, infrared thermal imaging video camera 2, industrial computer 3, alarm mechanism 4, acoustic-optic alarm 41, SMS (Short Messaging Service) receiving terminal 42, monitoring terminal 5, server 6 morely, do not get rid of the possibility of using other term.Using these terms only is in order to describe and explain essence of the present invention more easily; They are construed to any additional restriction all is contrary with spirit of the present invention.
Claims (10)
1. the monitoring method of a transformer overheating fault is characterized in that, this monitoring method comprises the steps:
A, thermal imaging figure gather: contactless monitoring is carried out in the transformer zone of easily breaking down, and the transformer thermal imaging figure in acquisition monitoring zone transfers to industrial computer then;
B, image identification are handled: industrial computer carries out identification with the transformer thermal imaging figure that collects to be handled, and judges whether transformer exists overheating fault;
C, fault are judged and are handled: if there is not overheating fault in monitored transformer, then proceed monitoring; If there is overheating fault in monitored transformer, then send alerting signal.
2. the monitoring method of transformer overheating fault according to claim 1, it is characterized in that, in above-mentioned steps A, utilize the infrared thermal imaging video camera to gather easily the break down transformer thermal imaging figure in zone of transformer, and the original image of described transformer thermal imaging figure is the 256 color shade figure of 0-255, by described infrared thermal imaging video camera pseudo-colours mapping the YUV color is converted into rgb color, obtains the transformer thermal imaging figure of corresponding relevant temperature then by rgb color and temperature map.
3. the monitoring method of transformer overheating fault according to claim 2 is characterized in that, in above-mentioned steps A, described YUV color is converted into the conversion formula of rgb color:
R=Y+1.402*(U-128)；
G=Y-0.344414*(V-128)-0.71414*(U-128)；
B=Y+1.772*(V-128)；
In the formula, Y is that luminance signal, U are that first carrier chrominance signal, V are that second carrier chrominance signal, R are that red color intensity value, G are that green intensity value, B are blue intensity values.
4. according to the monitoring method of claim 1 or 2 or 3 described transformer overheating faults, it is characterized in that, described transformer thermal imaging figure is m*n rank matrix pixel figure, m and n are positive integer, and m represents the pixel count on the transformer thermal imaging figure horizontal line, and n represents transformer thermal imaging figure horizontal line quantity.
5. the monitoring method of transformer overheating fault according to claim 4, it is characterized in that, in above-mentioned step B, each gray values of pixel points to transformer thermal imaging figure is weighted average computation, obtain the weighted mean gray-scale value of the transformer thermal imaging figure of guarded region, overheating fault threshold values with weighted mean gray-scale value and setting compares then, then judge and overheating fault do not occur if the weighted mean gray-scale value is less than or equal to the overheating fault threshold values overheating fault occurs if the weighted mean gray-scale value is then judged greater than the overheating fault threshold values.
6. the monitoring method of transformer overheating fault according to claim 5 is characterized in that, described weighted mean gray-scale value and overheating fault threshold values represent with number percent that respectively the gray-scale value of described overheating fault threshold values is 10%; If overheating fault does not appear in weighted mean gray-scale value≤10% judgement, if overheating fault appears in weighted mean gray-scale value＞10% judgement.
7. the monitoring method of transformer overheating fault according to claim 5 is characterized in that, described overheating fault threshold values is according to the influence factor adjustment that comprises load, environment temperature, ambient humidity that collects.
8. the monitoring method of transformer overheating fault according to claim 5, it is characterized in that, if judge the transformer control zone overheating fault taking place, then carries out sound and light alarm and/or the mode by SMS alarm sends to the SMS (Short Messaging Service) receiving terminal with failure message; Figure sets up information bank according to the transformer thermal imaging, to judge transformer fault grade and type; When the transformer thermal imaging figure in acquisition monitoring zone, carry out heartbeat monitor in real time, if can't collect then restarting equipment or restart system of transformer thermal imaging figure.
9. the monitoring system of a transformer overheating fault, it is characterized in that, native system comprise at least one be arranged on transformer (1) easily break down the zone the infrared thermal imaging video camera (2) that can gather transformer thermal imaging figure, described infrared thermal imaging video camera (2) links to each other with industrial computer (3) by wireless and/or wire communication mode, is connected with alarm mechanism (4) and monitoring terminal (5) on the described industrial computer (3).
10. the monitoring system of transformer overheating fault according to claim 9 is characterized in that, also is connected with the server (6) for storage transformer thermal imaging figure on the described industrial computer (3); Described alarm mechanism (4) comprise in acoustic-optic alarm (41), the SMS (Short Messaging Service) receiving terminal (42) any one or multiple; Also be connected with on the described industrial computer (3) load detection device for detection of transformer load, for detection of the temperature-detecting device of environment temperature, for detection of in the humidity detector of ambient humidity any one or multiple.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103759808A (en) * | 2014-02-20 | 2014-04-30 | 重庆大学 | Noise monitoring and early warning signal transmitting system of transformer |
| CN104165698A (en) * | 2014-08-21 | 2014-11-26 | 国家电网公司 | Substation power transformer overheating fault monitoring system based on thermal infrared imager |
| CN104990628A (en) * | 2015-07-03 | 2015-10-21 | 青岛蓝创高技术工程有限公司 | Infrared imaging technology-based refrigerator detection method and detection system |
| CN105023398A (en) * | 2015-01-08 | 2015-11-04 | 吉林省送变电工程公司 | Power equipment visualization monitoring alarm system |
| CN105575067A (en) * | 2016-02-18 | 2016-05-11 | 国网福建省电力有限公司邵武市供电公司 | Wide-angle thermal imaging wireless alarm device of unattended substation and working method |
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| CN107255522A (en) * | 2017-07-10 | 2017-10-17 | 国网信息通信产业集团有限公司 | A kind of method and device of transformer fault diagnosis |
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| CN110261703A (en) * | 2019-07-08 | 2019-09-20 | 厦门理工学院 | A kind of transformer fault method for early warning, terminal device and storage medium |
| CN111678558A (en) * | 2020-07-31 | 2020-09-18 | 国网四川省电力公司成都供电公司 | Infrared thermal imaging oil level and temperature monitoring system and method applied to oil filling equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2703938B2 (en) * | 1988-08-19 | 1998-01-26 | 東京電力株式会社 | Power system monitoring and control system |
| JP2815872B2 (en) * | 1988-08-19 | 1998-10-27 | 東京電力株式会社 | Power system monitoring and control system |
| CN102169017A (en) * | 2010-12-25 | 2011-08-31 | 江西九江供电公司 | Online monitoring system for infrared thermal imaging of converting station |
| CN102779351A (en) * | 2012-06-08 | 2012-11-14 | 温州大学 | Interactive grayscale image colorizing method based on local linear model optimization |
| CN102914369A (en) * | 2011-08-05 | 2013-02-06 | 平阳电力有限责任公司 | Online infrared imaging device of transformer substation |
-
2013
- 2013-05-15 CN CN201310181128.8A patent/CN103278244B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2703938B2 (en) * | 1988-08-19 | 1998-01-26 | 東京電力株式会社 | Power system monitoring and control system |
| JP2815872B2 (en) * | 1988-08-19 | 1998-10-27 | 東京電力株式会社 | Power system monitoring and control system |
| CN102169017A (en) * | 2010-12-25 | 2011-08-31 | 江西九江供电公司 | Online monitoring system for infrared thermal imaging of converting station |
| CN102914369A (en) * | 2011-08-05 | 2013-02-06 | 平阳电力有限责任公司 | Online infrared imaging device of transformer substation |
| CN102779351A (en) * | 2012-06-08 | 2012-11-14 | 温州大学 | Interactive grayscale image colorizing method based on local linear model optimization |
Non-Patent Citations (1)
| Title |
|---|
| 向方明等: "YUV到RGB颜色空间转换算法研究", 《现代电子技术》, vol. 35, no. 22, 30 November 2012 (2012-11-30), pages 65 - 68 * |
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| CN103759808A (en) * | 2014-02-20 | 2014-04-30 | 重庆大学 | Noise monitoring and early warning signal transmitting system of transformer |
| CN104165698A (en) * | 2014-08-21 | 2014-11-26 | 国家电网公司 | Substation power transformer overheating fault monitoring system based on thermal infrared imager |
| CN105023398A (en) * | 2015-01-08 | 2015-11-04 | 吉林省送变电工程公司 | Power equipment visualization monitoring alarm system |
| CN105023398B (en) * | 2015-01-08 | 2017-12-26 | 吉林省送变电工程公司 | Power equipment visualizing monitor warning system |
| CN104990628A (en) * | 2015-07-03 | 2015-10-21 | 青岛蓝创高技术工程有限公司 | Infrared imaging technology-based refrigerator detection method and detection system |
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| CN107255522A (en) * | 2017-07-10 | 2017-10-17 | 国网信息通信产业集团有限公司 | A kind of method and device of transformer fault diagnosis |
| CN107907217A (en) * | 2017-11-11 | 2018-04-13 | 成都市龙泉星源机械厂 | A kind of Novel welder transformer On-line Fault monitoring system and monitoring method |
| CN109582063A (en) * | 2018-11-26 | 2019-04-05 | 日立楼宇技术（广州）有限公司 | A kind of farm's monitoring method, device, equipment and storage medium |
| CN110261703A (en) * | 2019-07-08 | 2019-09-20 | 厦门理工学院 | A kind of transformer fault method for early warning, terminal device and storage medium |
| CN111678558A (en) * | 2020-07-31 | 2020-09-18 | 国网四川省电力公司成都供电公司 | Infrared thermal imaging oil level and temperature monitoring system and method applied to oil filling equipment |
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