CN108731816B - Power equipment defect analysis method based on infrared detection - Google Patents
Power equipment defect analysis method based on infrared detection Download PDFInfo
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- CN108731816B CN108731816B CN201810493187.1A CN201810493187A CN108731816B CN 108731816 B CN108731816 B CN 108731816B CN 201810493187 A CN201810493187 A CN 201810493187A CN 108731816 B CN108731816 B CN 108731816B
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- 238000009826 distribution Methods 0.000 claims abstract description 14
- 238000001931 thermography Methods 0.000 claims abstract description 14
- 238000001228 spectrum Methods 0.000 claims abstract description 13
- 230000016507 interphase Effects 0.000 claims abstract description 4
- 238000003745 diagnosis Methods 0.000 description 13
- 230000000694 effects Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 6
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- 230000005540 biological transmission Effects 0.000 description 5
- 238000010438 heat treatment Methods 0.000 description 5
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- 238000009529 body temperature measurement Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 3
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- 238000002329 infrared spectrum Methods 0.000 description 2
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- G—PHYSICS
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
- G01J5/485—Temperature profile
Abstract
The invention discloses an infrared detection-based power equipment defect analysis method, which comprises the following steps: arranging an selecting frame in an infrared thermal imager, carrying out infrared thermal imaging detection on target power equipment by adopting the infrared thermal imager, and collecting an infrared thermal image map; segmenting the target electric power equipment according to the infrared thermal image spectrum intercepted from the selecting frame, the equipment type of the target electric power equipment and the like to obtain a plurality of equipment segments; acquiring the highest temperature value of each abscissa in each equipment section; acquiring a temperature difference characteristic curve of the target power equipment according to all the highest temperature values; and according to a preset judgment standard and the temperature difference characteristic curve, performing interphase transverse comparison on each equipment section respectively to judge whether the target power equipment has defects. The method can quickly establish an equipment value model, comprehensively reflect the temperature distribution characteristics of the equipment, accurately and intelligently compare the thermal defects of the equipment, and find out the equipment with hidden danger.
Description
Technical Field
The invention relates to the technical field of power equipment analysis, in particular to a power equipment defect analysis method based on infrared detection.
Background
The infrared thermal imaging technology is introduced into the power equipment defect diagnosis from the fifth and sixth decades in Sweden to play a remarkable role, and has become one of the most main methods for nondestructive defect diagnosis of equipment in the industries of power, petrifaction and the like due to the advantages of no power failure, no contact with tested equipment, high detection efficiency and the like. However, the conventional analysis method is only suitable for technicians with detection experience, and cannot realize automatic intelligent diagnosis of large-batch map data. The number of large-scale electric power facility equipment is thousands, and the manual analysis workload is huge.
At present, the analysis method of the infrared detection spectrum of the power equipment mainly comprises three methods:
first, point analysis
The infrared thermal imaging spectrum is a true color image of the temperature of the outer surface of a measured object measured by an infrared detector and arranged according to a detector matrix. The mainstream matrix pixel is now 640 x 480. Different temperature distribution gradients are represented by different colors and shades of gray. Point analysis generally automatically takes the highest temperature point on the device in the image, and then the devices of the same type compare. Or the analysis point is placed at the position of the desired temperature value, and the temperature value at the position is displayed and generally used as a reference value.
However, the analysis method is more used for the diagnosis report of the known defective equipment, and the value is not representative when the analysis method is used for analyzing the map of a large number of tiny temperature differences.
Second, line analysis
And displaying the temperature distribution of the drawn part by drawing a line on the equipment part concerned in the infrared spectrum.
The temperature difference between two devices of the same type was shown using line analysis. This analysis method is also used more in diagnostic reports of known defective devices, where the values are not representative for analyzing maps of a large number of small temperature differences.
Third, analysis of highest and lowest temperature in the region
The area is divided into a rectangle, a circle, a polygon and a user-defined area, and the rectangle is mainly used for analysis. The highest and lowest analysis methods in the region are the most representative analysis methods for sampling the temperature of the equipment, have stronger processing capability on the defect analysis of the current heating type power equipment, but have the defect of lacking the maximum effect of batch automatic processing on the voltage, electromagnetism and comprehensive heating type defect infrared spectrum with very small temperature difference.
In the analysis, the values of points, lines and planes have a problem that the values are not comprehensive enough. Firstly, point temperature measurement: the temperature data of only one point, the highest temperature point is not necessarily on the detection equipment, other temperature distributions are not intuitively known, and the reference value of voltage, electromagnetism and comprehensive pyrogenicity defect analysis is not large particularly for very small temperature difference values. Secondly, line temperature measurement: the value range is small, the coverage value is difficult to represent the temperature distribution of the equipment, and the defect analysis significance is lacked only aiming at a small part of temperature characteristics. Thirdly, surface temperature measurement: if multi-region values are taken, comparison and analysis are carried out according to categories, but because the types and the models of the equipment are various, differences of the types, the heating characteristics, the voltage levels and the like of the equipment need to be considered, and a value model is difficult to establish.
At present, information intelligent processing is mainly concentrated on an infrared detection chart library of power transmission equipment, the variety of the power transmission equipment is few, the power transmission equipment basically has current heating defects, the temperature difference value is large, the processing is relatively easy, the large types of optical equipment of the power transformation equipment have more than ten types, the number of the optical equipment can reach hundreds of thousands according to the voltage grade, the type and the like, and the allowable value of the temperature difference of each large type of analysis is different from the analysis part, so the intelligent information processing is relatively difficult and the operation is complex.
Because an important characteristic of smart grid construction is the transition from planned maintenance to state maintenance, higher requirements are put forward on means and effects of monitoring of power grid equipment, and the improvement of the technical capability of infrared accurate temperature measurement and the informatization level of test data become very urgent subjects.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention aims to provide an electric power equipment defect analysis method based on infrared detection to solve the problems of incomplete value taking, difficult establishment of a value taking model and complex operation in the prior art.
An electric power equipment defect analysis method based on infrared detection comprises the following steps:
arranging an selecting frame in an infrared thermal imager, and performing infrared thermal imaging on target power equipment by using the infrared thermal imager to obtain an infrared thermal image map;
segmenting the target power equipment according to the infrared thermal image spectrum intercepted from the selecting frame and the equipment type, the voltage grade and the equipment model of the target power equipment to obtain a plurality of equipment segments;
acquiring the highest temperature value of each abscissa in each equipment segment;
acquiring a temperature difference characteristic curve of the target power equipment according to all the highest temperature values, wherein the temperature difference characteristic curve is used for representing the temperature distribution of the whole surface of the target power equipment;
and according to a preset judgment standard and the temperature difference characteristic curve, performing interphase transverse comparison on each equipment section respectively to judge whether the target power equipment has defects.
According to the method for analyzing the defects of the power equipment based on the infrared detection, a new value taking method is developed, a frame value taking method is combined, but the highest temperature of the frame is not taken, a highest temperature value is taken out according to the point of each line of the abscissa in a selection frame covering an equipment area, a temperature difference characteristic curve of the equipment is formed according to all the highest temperature values, the temperature difference characteristic curve represents the temperature distribution of the whole surface of the equipment, an equipment value taking model can be quickly established and the temperature distribution characteristics of the equipment can be comprehensively reflected through transverse comparison, the thermal defects of the equipment can be accurately and intelligently compared, and the hidden danger of the equipment can be found.
The method has more comprehensive data sampling, and the sampled data can objectively reflect the surface temperature distribution condition of the equipment, so that accurate defect diagnosis is performed. The method is simple in actual operation, many previous methods are applied to power transmission equipment with good effect, but are difficult to apply to power transformation equipment, because the power transformation equipment is various in types and large in voltage grade difference, the method is matched with necessary matching during detection, and an analysis model is made according to the characteristics of various equipment, so that data can be rapidly sampled and analyzed. In addition, the method has the advantages of good analysis effect, comprehensive data sampling, more efficient and more accurate intelligent processing of the infrared detection map, analysis on different parts by segmenting equipment, and targeted, efficient and accurate diagnosis according to judgment standards of different parts.
In addition, according to the method for analyzing the defects of the power equipment based on the infrared detection, the following additional technical characteristics can be provided:
further, the marquee is in a centered position on the infrared thermal imager.
Further, when detecting a target power device, the target power device is placed in the marquee for detection, or the marquee is placed in the middle of the target power device.
Further, the number of highest temperature values in each of the device segments is equal to the height pixel value of the corresponding device segment.
Further, the step of performing infrared thermal imaging on the target power equipment by using the infrared thermal imager to obtain an infrared thermal image spectrum comprises:
and carrying out infrared thermal imaging on target power equipment by adopting the infrared thermal imager so as to obtain a three-phase infrared thermal image map.
Further, the step of respectively performing phase-to-phase transverse comparison on each device segment according to a preset determination standard and the temperature difference characteristic curve to determine whether the target power device has a defect includes:
transversely comparing the highest temperature value in the three-phase infrared thermal image map to obtain the maximum temperature difference of each equipment section;
and comparing the maximum temperature difference with a preset judgment standard to judge whether the target power equipment has defects or not.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow chart of a method for analyzing defects of an electrical device based on infrared detection according to an embodiment of the present invention;
FIG. 2 is an A-phase infrared thermography spectrum in a method for analyzing defects of electrical equipment based on infrared detection according to an embodiment of the present invention;
FIG. 3 is a graph illustrating the characteristic temperature difference of phase A in a method for analyzing defects of power equipment based on infrared detection according to an embodiment of the present invention;
fig. 4 is a lateral comparison diagram of three-phase temperature difference characteristic curves in the method for analyzing the defects of the power equipment based on infrared detection according to an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a method for analyzing defects of an electrical device based on infrared detection according to an embodiment of the present invention includes:
s101, arranging a selecting frame in an infrared thermal imager, and performing infrared thermal imaging on target power equipment by using the infrared thermal imager to obtain an infrared thermal image spectrum;
wherein the cull box is in a centered position at the infrared thermal imager. When detecting a target power device, the target power device is put in the marquee for detection, or for a particularly wide or particularly large device, the marquee may be put in the middle of the target power device.
Specifically, the infrared thermal imager is adopted to perform infrared thermal imaging on target power equipment, so that a three-phase infrared thermal image spectrum can be obtained.
As a specific example, in this embodiment, a 500kV lightning arrester is taken as a target power device for detailed description, and the infrared thermal imager is used to perform infrared thermal imaging on the lightning arrester, so as to obtain an A, B, C three-phase infrared thermal image map. The obtained A-phase infrared thermal image spectrum can be seen in figure 2.
Referring to fig. 2, in the infrared thermal imager, a marquee S01 is set, wherein the marquee is 187 pixels high and 20 pixels wide. During analysis, the selecting frame is placed in the middle of the infrared thermal imager, and infrared thermal imaging is carried out on the 500kV lightning arrester, so that a three-phase infrared thermal image spectrum can be obtained. The size of an A-phase infrared thermal image spectrum of the 500kV lightning arrester is 320 x 240 pixels.
S102, segmenting the target electric power equipment according to the infrared thermal image spectrum intercepted in the selecting frame and the equipment type, the voltage grade and the equipment model of the target electric power equipment to obtain a plurality of equipment segments. The lightning arrester can be segmented according to the specific equipment type, voltage class and equipment model of the 500kV lightning arrester and the election frame set in the step S101. Specifically, in this embodiment, the device may be divided into four segments, that is, four device segments.
The first equipment segment is: the equipment and bus connector part has a height of 20 pixels, and the first equipment section has a total of 20 x 20 and 400 temperature values.
The second equipment section is: the upper part of the porcelain bushing of the device is 50 pixels high, and the second device segment has a total of 1000 (50 x 20) temperature values.
The third equipment section is as follows: the ceramic sleeve part in the device is 50 pixels high, and the third device segment has a total of 1000 (50 x 20) temperature values.
The fourth equipment section is as follows: the lower part of the device, the porcelain bushing part and the support, are 67 pixels high, and in the fourth device segment, there are 1340 (67 x 20) temperature values in total.
It should be noted that the sum of the four device segments is equal to the marquee, specifically, the sum of the height values of the four device segments (20+50+50+67 pixels) is equal to the height of the marquee (187 pixels), and the width of each device segment is equal to the width of the marquee, and is 20 pixels.
S103, acquiring the highest temperature value of each abscissa in each equipment segment. Wherein the number of highest temperature values in each of the device segments is equal to the height pixel value of the corresponding device segment. Specifically, the following is:
in the first device segment (height pixel value of 20), there are a total of 20 rows of temperature values, and the highest temperature value of each abscissa (i.e., each row) of the 20 rows of temperatures is obtained.
In the second device segment (height pixel value is 50), a total of 50 rows of temperature values are obtained, and the highest temperature value of each abscissa (i.e., each row) of the 50 rows of temperatures is obtained.
In the third device segment (height pixel value is 50), a total of 50 rows of temperature values are obtained, and the highest temperature value of each abscissa (i.e., each row) of the 50 rows of temperatures is obtained.
In the fourth device segment (with a height pixel value of 67), there are 67 rows of temperature values in total, and the highest temperature value of each abscissa (i.e., each row) in the 67 rows of temperatures is obtained.
Specifically, in actual use, the highest temperature value of each abscissa can be directly taken by software calling.
And S104, acquiring a temperature difference characteristic curve of the target power equipment according to all the highest temperature values, wherein the temperature difference characteristic curve is used for representing the temperature distribution of the whole surface of the target power equipment. Referring to fig. 3, the ordinate of the temperature difference characteristic curve is the row number of 1-187, and the abscissa is the temperature value. The temperature difference characteristic curve includes the highest temperature value corresponding to each row in each equipment segment.
And S105, performing alternate transverse comparison on each equipment section according to a preset judgment standard and the temperature difference characteristic curve respectively to judge whether the target power equipment has defects.
Specifically, step S105 may specifically include:
transversely comparing the highest temperature value in the three-phase infrared thermal image map to obtain the maximum temperature difference of each equipment section;
and comparing the maximum temperature difference with a preset judgment standard to judge whether the target power equipment has defects or not.
Specifically, in this embodiment, the preset determination criterion for the first equipment segment may be "DL/T664-2008 charged equipment infrared diagnosis application standard", the difference in temperature between phases of the first equipment segment of the lightning arrester is less than 15K, and the difference in temperature is calculated transversely by using a three-phase sampling value, and compared with an equipment defect diagnosis criterion, whether a defect exists can be diagnosed quickly and intelligently.
For the second to fourth device segments, the preset determination criterion may be DL/T664-2008 infrared diagnosis application specification of the live device, and in the determination criterion, the maximum allowable value of the inter-phase temperature is 0.5K, because the second to fourth device segments belong to voltage heating devices.
Finally, the maximum temperature difference of each equipment section can be obtained by transversely comparing the maximum temperatures of the three-phase ordinate, and referring to fig. 4, whether the temperature difference of the equipment exceeds the diagnosis criterion of the infrared diagnosis application standard of DL/T664-.
According to the method for analyzing the defects of the power equipment based on the infrared detection, a new value taking method is developed, a frame value taking method is combined, but the highest temperature of a frame is not taken, a highest temperature value is taken out according to the point of each line of the abscissa in a selection frame covering an equipment area, a temperature difference characteristic curve of the equipment is formed according to all the highest temperature values, the temperature difference characteristic curve represents the temperature distribution of the whole surface of the equipment, an equipment value model can be quickly established and the temperature distribution characteristics of the equipment can be comprehensively reflected through transverse comparison, the thermal defects of the equipment can be accurately and intelligently compared, and the equipment with hidden dangers can be found.
The method has more comprehensive data sampling, and the sampled data can objectively reflect the surface temperature distribution condition of the equipment, so that accurate defect diagnosis is performed. The method is simple in actual operation, many previous methods are applied to power transmission equipment with good effect, but are difficult to apply to power transformation equipment, because the power transformation equipment is various in types and large in difference of different voltage grades, the method is matched with necessary matching during detection, and an analysis model is made according to the characteristics of various equipment, so that data can be rapidly sampled and analyzed. In addition, the method has good analysis effect, and the intelligent processing of the infrared detection map is more efficient and accurate due to the comprehensive data sampling, different parts can be analyzed by segmenting the equipment, and targeted, efficient and accurate diagnosis can be simultaneously made according to the judgment standards of the different parts.
In the flowcharts, logic and/or steps shown or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (6)
1. An electric power equipment defect analysis method based on infrared detection is characterized by comprising the following steps:
arranging an selecting frame in an infrared thermal imager, and performing infrared thermal imaging on target power equipment by using the infrared thermal imager to obtain an infrared thermal image map;
segmenting the target power equipment according to the infrared thermal image spectrum intercepted from the selecting frame and the equipment type, the voltage grade and the equipment model of the target power equipment to obtain a plurality of equipment segments;
acquiring the highest temperature value of each abscissa in each equipment segment; wherein the abscissa refers to the horizontal coordinate pixel value of each row from left to right in the device segment.
Acquiring a temperature difference characteristic curve of the target power equipment according to all the highest temperature values, wherein the temperature difference characteristic curve is used for representing the temperature distribution of the whole surface of the target power equipment;
and according to a preset judgment standard and the temperature difference characteristic curve, performing interphase transverse comparison on each equipment section respectively to judge whether the target power equipment has defects.
2. The infrared detection-based power equipment defect analysis method of claim 1, wherein the cull box is in a centered position at the infrared thermal imager.
3. The method for analyzing the defects of the power equipment based on the infrared detection as claimed in claim 2, wherein when a target power equipment is detected, the target power equipment is placed in the marquee for detection, or the marquee is placed in the middle of the target power equipment.
4. The method of claim 1, wherein the number of the highest temperature values in each of the equipment segments is equal to the height pixel value of the corresponding equipment segment.
5. The infrared detection-based power equipment defect analysis method as claimed in claim 1, wherein the step of performing infrared thermal imaging on the target power equipment by using the infrared thermal imager to obtain the infrared thermal image map comprises:
and carrying out infrared thermal imaging on target power equipment by adopting the infrared thermal imager so as to obtain a three-phase infrared thermal image map.
6. The method for analyzing the defects of the power equipment based on the infrared detection as claimed in claim 5, wherein the step of respectively performing the transverse comparison between the phase and the phase on each equipment segment according to the preset determination standard and the temperature difference characteristic curve to determine whether the target power equipment has the defects comprises:
transversely comparing the highest temperature value in the three-phase infrared thermal image map to obtain the maximum temperature difference of each equipment section;
and comparing the maximum temperature difference with a preset judgment standard to judge whether the target power equipment has defects or not.
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| CN111044570A (en) * | 2019-12-28 | 2020-04-21 | 广东电网有限责任公司 | Defect identification and early warning method and device for power equipment and computer equipment |
| CN111541877A (en) * | 2020-05-18 | 2020-08-14 | 国网河南省电力公司南阳供电公司 | Automatic monitoring system for substation equipment |
| CN112697798B (en) * | 2020-12-07 | 2023-03-31 | 国网信息通信产业集团有限公司 | Infrared image-oriented diagnosis method and device for current-induced thermal defects of power transformation equipment |
| CN113178054A (en) * | 2021-03-04 | 2021-07-27 | 南方电网深圳数字电网研究院有限公司 | Temperature detection method and system based on substation equipment and storage medium |
| CN113687156B (en) * | 2021-08-07 | 2022-09-20 | 郑州海威光电科技有限公司 | Method for assisting in judging hidden danger of power equipment by utilizing infrared chart |
| CN114511943A (en) * | 2022-04-18 | 2022-05-17 | 国网江西省电力有限公司电力科学研究院 | Distribution line infrared inspection method and system based on mobile terminal |
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