CN112200784A - Intelligent defect diagnosis method for electrical equipment - Google Patents
Intelligent defect diagnosis method for electrical equipment Download PDFInfo
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- 238000012545 processing Methods 0.000 claims abstract description 28
- 230000008859 change Effects 0.000 claims abstract description 11
- 238000003860 storage Methods 0.000 claims description 26
- 238000001931 thermography Methods 0.000 claims description 22
- 238000009529 body temperature measurement Methods 0.000 claims description 21
- 238000001514 detection method Methods 0.000 claims description 9
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- 238000004519 manufacturing process Methods 0.000 claims description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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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
- G01J5/0003—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiant heat transfer of samples, e.g. emittance meter
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G—PHYSICS
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- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/30—Transforming light or analogous information into electric information
- H04N5/33—Transforming infrared radiation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
Abstract
The invention discloses an intelligent defect diagnosis method for power equipment, which comprises the following steps: the method comprises the following steps: firstly, receiving infrared thermal images through a thermal image module in an infrared thermal image device; step two: and carrying out specific processing on the digital images acquired by the thermal image module by using the image processing module to obtain two paths of thermal image data. The intelligent defect diagnosis method for the power equipment can intelligently identify the temperature of each phase of the power equipment in real time by shooting on site, automatically compare the temperature difference between three phases and the temperature difference between similar equipment by shooting every time, intelligently analyze the equipment defects without manual judgment, simultaneously search the historical temperature change curve of the same equipment according to a database, and automatically analyze the temperature change of the equipment along with time, thereby reducing the workload of personnel for polling reports in the infrared power polling, simultaneously visually checking the temperature curve through an instrument on site and facilitating the analysis and guidance of the problems on site.
Description
Technical Field
The invention relates to the technical field of power equipment defect diagnosis, in particular to an intelligent defect diagnosis method for power equipment.
Background
The infrared thermal imaging device reflects the distribution diagram of the infrared radiation energy of the detected target on a photosensitive element of an infrared thermal image, converts the distribution diagram into a corresponding electric signal, and obtains a thermal image of the surface of the electrical equipment after the electric signal processing, thereby converting invisible infrared energy into a visible thermal image.
The infrared detection technology has the characteristics of long distance, no contact, no power outage, rapidness, intuition and the like, and along with the development of the infrared technology, the detection of an infrared thermal imaging device is widely applied to the power industry nowadays in the power system and is used for detecting the thermal safety hidden danger of power transmission and distribution equipment in the power industry.
The infrared thermal imaging device in the market at present detects that after an infrared picture is shot through field detection, the later stage is carried out by setting regional temperature measurement, line temperature measurement and analyzing and judging equipment faults through PC end software manually, so that report processing workload is increased invisibly, and meanwhile, as the infrared temperature measurement is easily changed by external environment and distance, the temperature difference is large, the field temperature measurement condition of an electric power system is complex, the distance is far, and the temperature measurement is difficult to be accurately carried out generally, the field temperature measurement generally adopts the similar comparison method and the archive analysis method.
The similar comparison method comprises the following steps: generally, three-phase equipment is required to be shot in the same thermal image at the same time according to the comparison of the three phases of the equipment and the equipment of the same type at the same time, the highest temperature of each phase is displayed, the current infrared device shoots the image on site, and the defect is analyzed after a regional temperature measurement frame is manually added or the temperature difference of the three-phase equipment is compared with the temperature difference of the line temperature measurement equipment in the later period.
And (3) file analysis method: the maximum temperature of the image shot at the present stage is compared with the historical temperature in the file, the temperature change curve is analyzed, and the equipment fault is judged.
Therefore, we propose an intelligent defect diagnosis method for electrical equipment so as to solve the problems proposed in the above.
Disclosure of Invention
The invention aims to provide an intelligent defect diagnosis method for power equipment, which aims to solve the problems that the conventional intelligent defect diagnosis method for the power equipment, which is proposed by the background art, cannot analyze historical problems, has large workload and cannot ensure the accuracy of defect diagnosis of the power equipment.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent defect diagnosis method for power equipment, comprising the following steps:
the method comprises the following steps: firstly, receiving infrared thermal images through a thermal image module in an infrared thermal image device;
step two: the image processing module is used for carrying out specific processing on the digital images acquired by the thermal image module to obtain two paths of thermal image data;
step three: one path of the two paths of thermal image data is enhanced and is specially used for image display and equipment identification, the other path of the two paths of thermal image data is subjected to temperature compensation on the acquired AD value data through the thermal image module, correct temperature is calculated, a correct temperature rise change curve is fitted, and the calibrated temperature data is transmitted in real time along with the image data and is used as temperature data analysis of the infrared thermal image;
step four: extracting edge characteristics of the enhanced image through a canny operator by an image processing module, and sending edge characteristic information to an interface control layer, wherein the interface control layer sets a region temperature measurement frame according to the edge characteristics;
step five: the temperature in the temperature measuring frames is displayed in real time through a display module, and after the temperature measuring frames of each phase are set and the calibrated temperature data are fused, each temperature measuring frame can be set according to an operation interface to display the equivalent value of the highest temperature, the average temperature and the lowest temperature;
step six: automatically comparing the temperature difference and the historical temperature data of equipment among three phases in the same thermal image through a defect analysis module to analyze the equipment defects;
step seven: and storing the thermal image after the defect analysis into a storage module.
Preferably, the infrared thermal imaging device comprises a thermal imaging module, an image processing module, a temperature module, a shooting module, a cache module, a defect analysis module, a storage module, a memory card/flash memory, a display control module, a display module and a functional operation module, wherein the storage module is connected with an external memory card/flash memory S8, the shot infrared thermal image is stored in the external memory card and can be read and checked by other equipment, the display control module controls the transmission and display of real-time video stream, the video stream is transmitted to the display module, and the functional operation module controls the operation of keys and a touch interface of the whole thermal imaging device and the logic function of the system.
Preferably, the thermal image module passes an infrared light signal invisible to human eyes from the outside through the optical lens, the infrared detector converts the infrared light signal into an electrical signal, the AD conversion module performs sampling, enhancement and other processing in a specific period to generate a digital image (AD value data), the image processing module S2 performs specific processing on digital influences acquired by the thermal image module S1, such as nonlinear correction, detail enhancement, edge detection and other processing, and the temperature module S3 performs temperature compensation on the AD value data acquired by the thermal image module to calculate a correct temperature.
Preferably, the shooting module sends a command to shoot through the operation module, the shooting module is called to freeze and format conversion storage the real-time thermal image, and the real-time image is transmitted and the frozen image is temporarily stored through the cache module.
Preferably, the region temperature measurement frame in the fourth step is set to be edge feature information extracted according to the thermal image, and the interface control layer sets the region temperature measurement frame separately according to each phase of the power equipment in the thermal image.
Preferably, the defect analysis module in the sixth step is used for performing three-phase temperature difference comparison and historical temperature measurement data comparison analysis on the shot temporary storage image, and judging whether the equipment is defective or not and judging the defect grade.
Preferably, the defect analysis module makes the equipment information of the transformer substation and the defect analysis rule of the electric power infrared detection equipment into an equipment defect diagnosis original database through PC software, the infrared thermal image device imports the equipment information and the defect diagnosis database to form an original data database, the operation interface operates the shooting module to shoot the thermal image, and the maximum temperature, the average temperature or the lowest temperature and the like are displayed in each phase of temperature measurement frame of the thermal image.
Preferably, the defect analysis module reads an infrared detection defect judgment rule database led into the thermal imaging device, compares the three-phase temperature difference of the image frozen by the shooting module with a historical temperature change curve of the same device to automatically analyze the defects of the device, the storage module stores the analyzed image into a storage card/flash memory, and meanwhile, the temperature is added into the historical temperature database (highest temperature, average temperature, lowest temperature and the like) to make and generate a historical temperature data curve.
Preferably, the stored image and the historical temperature curve can be directly transmitted to the display module through the display control module on the infrared thermal imaging device to check the defects of the stored image automatic analysis equipment and the defects of the historical temperature data, and the stored image can also be guided into the PC end software through the memory card/flash memory to be checked.
Compared with the prior art, the invention has the beneficial effects that: the intelligent defect diagnosis method for the power equipment can intelligently identify the temperature of each phase of the power equipment in real time by shooting on site, automatically compare the temperature difference between three phases and the temperature difference between similar equipment by shooting every time, intelligently analyze the equipment defects without manual judgment, simultaneously search the historical temperature change curve of the same equipment according to a database, and automatically analyze the temperature change of the equipment along with time, thereby reducing the workload of personnel for polling reports in the infrared power polling, simultaneously visually checking the temperature curve through an instrument on site and facilitating the analysis and guidance of the problems on site.
Drawings
FIG. 1 is an electrical block diagram of an infrared thermal imaging apparatus according to the present invention;
FIG. 2 is a block diagram of an intelligent defect diagnosis process of the infrared power equipment according to the present invention;
FIG. 3 is a block diagram of the defect analysis process of the apparatus of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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. 1-3, the present invention provides a technical solution: an intelligent defect diagnosis method for power equipment, comprising the following steps:
the method comprises the following steps: firstly, receiving infrared thermal images through a thermal image module in an infrared thermal image device;
step two: the image processing module is used for carrying out specific processing on the digital images acquired by the thermal image module to obtain two paths of thermal image data;
step three: one path of the two paths of thermal image data is enhanced and is specially used for image display and equipment identification, the other path of the two paths of thermal image data is subjected to temperature compensation on the acquired AD value data through the thermal image module, correct temperature is calculated, a correct temperature rise change curve is fitted, and the calibrated temperature data is transmitted in real time along with the image data and is used as temperature data analysis of the infrared thermal image;
step four: extracting edge characteristics of the enhanced image through a canny operator by an image processing module, and sending edge characteristic information to an interface control layer, wherein the interface control layer sets a region temperature measurement frame according to the edge characteristics;
step five: the temperature in the temperature measuring frames is displayed in real time through a display module, and after the temperature measuring frames of each phase are set and the calibrated temperature data are fused, each temperature measuring frame can be set according to an operation interface to display the equivalent value of the highest temperature, the average temperature and the lowest temperature;
step six: automatically comparing the temperature difference and the historical temperature data of equipment among three phases in the same thermal image through a defect analysis module to analyze the equipment defects;
step seven: and storing the thermal image after the defect analysis into a storage module.
The infrared thermal imaging device further comprises a thermal imaging module, an image processing module, a temperature module, a shooting module, a cache module, a defect analysis module, a storage card/flash memory, a display control module, a display module and a functional operation module, wherein the storage module is connected with an external storage card/flash memory S8, the shot infrared thermal imaging device can be read and checked by other equipment by storing the shot infrared thermal imaging device on the external storage card, the display control module controls the transmission and display of real-time video stream, the video stream is transmitted to the display module, and meanwhile, the functional operation module controls the operation of keys and a touch interface of the whole thermal imaging device and controls the logic function of the system.
Further, the thermal image module enables infrared signals invisible to human eyes from the outside to pass through the optical lens, the infrared detector converts the infrared signals into electric signals, the AD conversion module performs sampling, enhancement and other processing in a specific period to generate digital images (AD value data), the image processing module S2 performs specific processing on digital influences acquired by the thermal image module S1, such as nonlinear correction, detail enhancement, edge detection and other processing, and the temperature module S3 performs temperature compensation on the AD value data acquired by the thermal image module to calculate correct temperature.
The invention further discloses that the shooting module sends a command to shoot through the operation module, the shooting module is called to freeze and convert the format of the real-time thermal image, and the real-time image is transmitted and the frozen image is temporarily stored through the cache module.
Furthermore, the area temperature measurement frame in the fourth step is set as the edge characteristic information extracted according to the thermal image, and the interface control layer sets the area temperature measurement frame separately according to each phase of the power equipment in the thermal image.
The defect analysis module in the sixth step is used for carrying out three-phase temperature difference comparison and historical temperature measurement data comparison analysis on the shot temporary storage image, and judging whether the equipment has defects or not and judging the defect grade.
The invention further discloses a defect analysis module which is used for manufacturing an equipment defect diagnosis original database by using the equipment information of the transformer substation and the defect analysis rule of the electric power infrared detection equipment through PC software, an infrared thermal image device is led into the equipment information and defect diagnosis database to form an original data database, an operation interface is used for operating a shooting module to shoot, a thermal image is frozen, and the highest temperature, the average temperature or the lowest temperature and the like are displayed in each phase of temperature measurement frame of the thermal image.
Furthermore, the defect analysis module reads an infrared detection defect judgment rule database led into the thermal imaging device, compares the three-phase temperature difference of the image frozen by the shooting module with the historical temperature change curve of the device to automatically analyze the defects of the device, the storage module stores the analyzed image into a storage card/flash memory, and simultaneously adds the temperature to the historical temperature database (highest temperature, average temperature, lowest temperature and the like) to make and generate a historical temperature data curve.
Further, the stored image and the historical temperature curve can be directly transmitted to the display module through the display control module on the infrared thermal imaging device to check the defects of the stored image automatic analysis equipment and the defects of the historical temperature data, and the stored image can also be led into PC end software through the memory card/flash memory to be checked.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk. It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and all the changes or substitutions should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (9)
1. An intelligent defect diagnosis method for electric power equipment is characterized by comprising the following steps: the diagnostic method comprises the following steps:
the method comprises the following steps: firstly, receiving infrared thermal images through a thermal image module in an infrared thermal image device;
step two: the image processing module is used for carrying out specific processing on the digital images acquired by the thermal image module to obtain two paths of thermal image data;
step three: one path of the two paths of thermal image data is enhanced and is specially used for image display and equipment identification, the other path of the two paths of thermal image data is subjected to temperature compensation on the acquired AD value data through the thermal image module, correct temperature is calculated, a correct temperature rise change curve is fitted, and the calibrated temperature data is transmitted in real time along with the image data and is used as temperature data analysis of the infrared thermal image;
step four: extracting edge characteristics of the enhanced image through a canny operator by an image processing module, and sending edge characteristic information to an interface control layer, wherein the interface control layer sets a region temperature measurement frame according to the edge characteristics;
step five: the temperature in the temperature measuring frames is displayed in real time through a display module, and after the temperature measuring frames of each phase are set and the calibrated temperature data are fused, each temperature measuring frame can be set according to an operation interface to display the equivalent value of the highest temperature, the average temperature and the lowest temperature;
step six: automatically comparing the temperature difference and the historical temperature data of equipment among three phases in the same thermal image through a defect analysis module to analyze the equipment defects;
step seven: and storing the thermal image after the defect analysis into a storage module.
2. The intelligent defect diagnosis method for the electric power equipment as claimed in claim 1, wherein: the infrared thermal imaging device comprises a thermal imaging module, an image processing module, a temperature module, a shooting module, a cache module, a defect analysis module, a storage card/flash memory, a display control module, a display module and a function operation module, wherein the storage module is connected with an external storage card/flash memory S8, the shot infrared thermal image is stored on the external storage card and can be read and checked by other equipment, the display control module controls the transmission and display of real-time video stream and transmits the video stream to the display module, and meanwhile, the function operation module controls the operation of keys and a touch interface of the whole thermal imaging device and the logic function of the system.
3. The intelligent defect diagnosis method for the electric power equipment as claimed in claim 2, wherein: the thermal image module enables infrared light signals invisible to human eyes from the outside to pass through the optical lens, the infrared detector converts the infrared light signals into electric signals, the AD conversion module performs sampling, enhancement and other processing in a specific period to generate digital images (AD value data), the image processing module S2 performs specific processing on digital influences acquired by the thermal image module S1, such as nonlinear correction, detail enhancement, edge detection and other processing, and the temperature module S3 performs temperature compensation on the AD value data acquired by the thermal image module to calculate correct temperature.
4. The intelligent defect diagnosis method for the electric power equipment as claimed in claim 2, wherein: the shooting module sends a command to shoot through the operation module, the shooting module is called to freeze and convert the format of the real-time thermal image, and the real-time image is transmitted and the frozen image is temporarily stored through the cache module.
5. The intelligent defect diagnosis method for the electric power equipment as claimed in claim 1, wherein: and setting the area temperature measuring frame in the fourth step as edge characteristic information extracted according to the thermal image, and setting the area temperature measuring frame independently according to each phase of the power equipment in the thermal image by the interface control layer.
6. The intelligent defect diagnosis method for the electric power equipment as claimed in claim 1, wherein: and the defect analysis module in the sixth step is used for carrying out three-phase temperature difference comparison and historical temperature measurement data comparison analysis on the shot temporary storage image and judging whether the equipment is defective or not and judging the defect grade.
7. The intelligent defect diagnosis method for the electric power equipment as claimed in claim 6, wherein: the fault analysis module is used for manufacturing equipment information of a transformer substation and fault analysis rules of electric infrared detection equipment into an equipment fault diagnosis original database through PC software, an infrared thermal imaging device is used for importing the equipment information and the fault diagnosis database to form an original data database, an operation interface is used for operating a shooting module to shoot, thermal images are frozen, and the highest temperature, the average temperature or the lowest temperature and the like are displayed in each phase of temperature measurement frame of the thermal image.
8. The intelligent defect diagnosis method for the electric power equipment as claimed in claim 7, wherein: the defect analysis module reads an infrared detection defect judgment rule database led into the thermal imaging device, compares the three-phase temperature difference of the image frozen by the shooting module with the historical temperature change curve of the device to automatically analyze the defects of the device, the storage module stores the analyzed image into a storage card/flash memory, and meanwhile, the temperature is added into the historical temperature database (highest temperature, average temperature, lowest temperature and the like) to manufacture and generate a historical temperature data curve.
9. The intelligent defect diagnosis method for the electric power equipment as claimed in claim 8, wherein: the stored image and the historical temperature curve can be directly transmitted to the display module through the display control module on the infrared thermal imaging device to check the defects of the stored image automatic analysis equipment and the defects of the historical temperature data, and the stored image can also be led into PC end software through the memory card/flash memory to be checked.
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| CN110598736A (en) * | 2019-08-06 | 2019-12-20 | 西安理工大学 | Power equipment infrared image fault positioning, identifying and predicting method |
| CN111751002A (en) * | 2020-05-15 | 2020-10-09 | 国网浙江省电力有限公司嘉兴供电公司 | Intelligent charged equipment fault diagnosis method based on infrared thermal imaging |
| CN111679142A (en) * | 2020-06-17 | 2020-09-18 | 国网山西省电力公司电力科学研究院 | Portable infrared intelligent diagnosis device and method for power transmission and transformation equipment |
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| CN114241727A (en) * | 2021-11-26 | 2022-03-25 | 国网新疆电力有限公司巴州供电公司 | Intelligent diagnosis early warning system, method and device for power transformation equipment |
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