Infrared image feature classification and identification method and system for power transformation equipment in fault state

Abstract

The invention relates to an infrared image feature classification and identification method and system for power transformation equipment in a fault state. The method comprises the following steps: determining the state of the power transformation equipment through reference features; when the state of the power transformation equipment is a suspected fault state, obtaining an infrared feature image of the power transformation equipment in the fault state; region separation is carried out on the infrared feature image to obtain a separated image, and the temperature of the part, displayed on the separated image, of the power transformation equipment is within the set range of the separated image; determining a graph of display content on each separated image; arranging the graphs of the display content to obtain the same group and different groups; and the types of the infrared feature images are given according to the same group and different groups. According to the infrared image feature classification and recognition method and system for the power transformation equipment in the fault state, the type of the infrared feature image is given through extraction and multi-position analysis of the infrared feature image, and the method and system are used for assisting workers in more accurate judgment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid operation safety, in particular to an infrared image feature classification and identification method and system of a power transformation device in a fault state. BACKGROUND

[0002] The infrared image feature classification and identification of a power transformation device in a fault state is a core link for providing a basis for device state evaluation and fault positioning by mapping the extracted image features to specific fault categories based on the correspondence between fault types and infrared thermal features.

[0003] In actual processing, if the infrared features of a power transformation device are continuously analyzed, a large amount of invalid processing will inevitably be caused, and therefore a more appropriate processing mode is to preliminarily determine through peripheral analysis and to use infrared images for targeted analysis when an abnormality is found.

[0004] The temperature abnormal area can be found through infrared image analysis, but further classification is needed to assist the staff in making more accurate judgments, and how to achieve this process needs further research. SUMMARY

[0005] The present application provides an infrared image feature classification and identification method and system of a power transformation device in a fault state, which gives the type of the infrared feature image through extraction and multi-position analysis of the infrared feature image to assist the staff in making more accurate judgments.

[0006] The above-mentioned object of the present application is achieved by the following technical scheme: In a first aspect, the present application provides an infrared image feature classification and identification method of a power transformation device in a fault state, comprising: determining the state of the power transformation device by reference features, the state including a normal state and a suspected fault state; when the state of the power transformation device is a suspected fault state, obtaining an infrared feature image of the power transformation device in a fault state; separating the infrared feature image into regions to obtain separated images, and the temperature of the display part of the power transformation device on the separated images is within the set range of the separated images; determining the pattern of the display content on each separated image; sorting the pattern of the display content to obtain the same group and the different group; giving the type of the infrared feature image according to the same group and the different group.

[0007] In a possible implementation manner of the first aspect, the reference features include temperature features, voltage features and current features.

[0008] In a possible implementation of the first aspect, when the infrared feature image is regionally separated, first, the binary method is used to determine the temperature normal region and the temperature abnormal region, and then the temperature abnormal region is separated using the ladder separation method to obtain a plurality of separated images.

[0009] In a possible implementation of the first aspect, arranging the pattern of the display content includes determining an inner contour and an outer contour of the pattern of the display content.

[0010] In a possible implementation of the first aspect, when the inner contour and the outer contour of the pattern of the display content are determined, the method further includes determining a heat-emitting position corresponding to the inner contour and the outer contour of the pattern of the display content, the heat-emitting position being one or more in number.

[0011] In a possible implementation of the first aspect, when the type of the infrared feature image is given according to the same group and the different group, the rule is as follows: When only the same group exists, the type of the infrared feature image is overall overload; When the different group exists, the type of the infrared feature image is local abnormality.

[0012] In a possible implementation of the first aspect, the method further includes classifying the different group and giving a classification number.

[0013] In a second aspect, the present application provides an infrared image feature classification and identification device of a power transformation device in a fault state, including: a state judgment unit configured to determine the state of the power transformation device by referring to the feature, the state including a normal state and a suspected fault state; an image acquisition unit configured to acquire an infrared feature image of the power transformation device in the fault state when the state of the power transformation device is the suspected fault state; an image separation unit configured to regionally separate the infrared feature image to obtain a separated image, the temperature of the display part of the power transformation device on the separated image being within a set range of the separated image; a first processing unit configured to determine a pattern of the display content on each separated image; a second processing unit configured to arrange the pattern of the display content to obtain a same group and a different group; a classification unit configured to give the type of the infrared feature image according to the same group and the different group.

[0014] In a third aspect, the present application provides an infrared image feature classification and identification system of a power transformation device in a fault state, the system including: one or more memories configured to store instructions; and One or more processors configured to invoke and run the instructions from the memory to perform the method as claimed in the first aspect and any possible implementation of the first aspect.

[0015] In a fourth aspect, the present application provides a computer readable storage medium, comprising: A program which, when executed by a processor, causes the method as claimed in the first aspect and any possible implementation of the first aspect to be performed.

[0016] In a fifth aspect, the present application provides a computer program product comprising program instructions which, when executed by a computing device, cause the method as claimed in the first aspect and any possible implementation of the first aspect to be performed.

[0017] In a sixth aspect, the present application provides a chip system comprising a processor configured to implement the functions involved in the above aspects, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0018] The chip system can be composed of a chip, or can include a chip and other discrete devices.

[0019] In a possible design, the chip system further includes a memory configured to store necessary program instructions and data. The processor and the memory can be decoupled and arranged on different devices, and connected through wired or wireless means, or the processor and the memory can be coupled on the same device. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 is a process schematic diagram of an infrared image feature classification method of a power transformation device in a fault state provided by the present application.

[0021] Figure 2 is a schematic diagram of the same grouping obtained after sorting the graphics of the display content provided by the present application.

[0022] Figure 3 is a schematic diagram of different groupings obtained after sorting the graphics of the display content provided by the present application.

[0023] Figure 4 is a schematic diagram of one heating position provided by the present application.

[0024] Figure 5 is a schematic diagram of multiple heating positions provided by the present application. DETAILED DESCRIPTION

[0025] The technical solutions in the application will be described in further detail below with reference to the drawings.

[0026] The application discloses an infrared image feature classification and identification method of a power transformation device in a fault state. Figure 1 In some examples, the infrared image feature classification and identification method of the power transformation device in the fault state disclosed by the application comprises the following steps: Determine the state of the power transformation device by reference features, including normal state and suspected fault state; When the state of the power transformation device is the suspected fault state, obtain the infrared feature image of the power transformation device in the fault state; Separate the infrared feature image by region to obtain a separated image, and the temperature of the displayed part of the power transformation device on the separated image is within the set range of the separated image; Determine the pattern of the displayed content on each separated image; Organize the pattern of the displayed content to obtain the same group and different groups; According to the same group and different groups, the type of the infrared feature image is given.

[0027] In the above steps, first, the state of the power transformation device needs to be determined by reference features (temperature features, voltage features, and current features), and the state at this time includes normal state and suspected fault state. The specific judgment basis is: Temperature features: Device rated temperature rise standard (such as 10K allowed temperature rise of joint); 1rel exceeds the rated temperature rise threshold; Three-phase measurement point temperature difference T abc> 5K; Temperature change rate of the same measurement point T / t> 2K / h; Voltage features: Power system voltage quality standard (such as three-phase voltage unbalance degree 2%); Voltage unit value exceeds the range of 0.95-1.05; Single-phase voltage appears continuous drop or rise; Current features: Current unit value is long-term >1.1 (overload) or <0.1 (no-load anomaly); Three-phase load is seriously unbalanced; Harmonic exceeds the standard.

[0028] The above content can be regarded as a trigger condition. When the trigger condition is met, the infrared feature image of the power transformation device in the fault state is obtained, and then the separated image is obtained, and the temperature of the displayed part of the power transformation device on the separated image is within the set range of the separated image.

[0029] Then, the graphic representing the content displayed on each separated image is determined, and the graphic representing the displayed content is organized to obtain identical groups (e.g., ...). Figure 2 (as shown) and different groups (such as) Figure 3 As shown in the figure, the type of infrared feature image is finally given based on the same group and different groups.

[0030] When the type of infrared feature image is given based on the same grouping and different groupings, the rules are as follows: When only identical groups exist, the infrared feature image type is overall overload; When different groups exist, the infrared feature image is classified as a local anomaly.

[0031] Some possible implementations also include classifying different groups and providing the number of classifications, where the number of classifications represents the number of potential problem locations.

[0032] In some cases, when performing region separation on infrared feature images, the binary method is first used to determine the normal temperature region and the abnormal temperature region. Then, a step-separation method is used to separate the abnormal temperature region, resulting in multiple separated images, each corresponding to a temperature range.

[0033] In some possible implementations, organizing the graphics of the displayed content includes determining the inner and outer contours of the graphics of the displayed content.

[0034] In some possible implementations, determining the inner and outer contours of the displayed content graphic also includes determining the corresponding heating positions of the inner and outer contours of the displayed content graphic, with one heating position, such as... Figure 4 As shown, or multiple, such as Figure 5 As shown.

[0035] This application also provides an infrared image feature classification and identification device for power equipment under fault conditions, including: The status determination unit is used to determine the status of the substation equipment by reference characteristics. The status includes normal status and suspected fault status. The image acquisition unit is used to acquire infrared feature images of the power equipment in a suspected fault state when the power equipment is in a fault state. An image separation unit is used to separate regions in an infrared feature image to obtain a separated image. The temperature of the portion of the power equipment displayed on the separated image is within a set range of the separated image. The first processing unit is used to determine the graphic of the content displayed on each separated image; The second processing unit is used to organize the graphics of the displayed content to obtain the same group and different group; The classification unit is used to determine the type of infrared feature image based on whether they are in the same group or different groups.

[0036] In one example, the unit in any of the above devices may be one or more integrated circuits configured to implement the above methods, such as one or more application-specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0037] For example, when the units in the device can be implemented through a processing element scheduler, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling programs. Alternatively, these units can be integrated together to form a system-on-a-chip (SOC).

[0038] In this application, various objects such as messages / information / devices / network elements / systems / apparatus / actions / operations / processes / concepts may be named. It is understood that these specific names do not constitute a limitation on the relevant objects. The names may be changed depending on the scenario, context, or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from their functions and technical effects embodied / performed in the technical solution.

[0039] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0040] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0041] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0042] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0043] It should also be understood that in the various embodiments of this application, the terms "first," "second," etc., are merely to indicate that multiple objects are different. For example, a first time window and a second time window are only to indicate different time windows. They should not have any effect on the time windows themselves, and the aforementioned terms "first," "second," etc., should not impose any limitations on the embodiments of this application.

[0044] It should also be understood that, in the various embodiments of this application, unless otherwise specified or in case of logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced by each other, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationships.

[0045] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a computer-readable storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned computer-readable storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0046] This application also provides an infrared image feature classification and identification system for power equipment under fault conditions, the system comprising: One or more memories for storing instructions; and One or more processors are configured to retrieve and execute the instructions from the memory, performing the methods described above.

[0047] This application also provides a computer program product including instructions that, when executed, cause the terminal device and the network device to perform operations corresponding to the methods described above.

[0048] This application also provides a chip system including a processor for implementing the functions involved in the above description, such as generating, receiving, transmitting, or processing the data and / or information involved in the above methods.

[0049] This chip system can consist of chips or include chips and other discrete components.

[0050] The processor mentioned above can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits that execute a program to control the method of transmitting the feedback information described above.

[0051] In one possible design, the chip system also includes a memory for storing necessary program instructions and data. The processor and the memory can be decoupled and located on different devices, connected via wired or wireless means to support the chip system in implementing the various functions described in the above embodiments. Alternatively, the processor and the memory can also be coupled to the same device.

[0052] Optionally, the computer instructions are stored in memory.

[0053] Optionally, the memory can be a storage unit within the chip, such as a register or cache. Alternatively, the memory can be a storage unit located outside the chip within the terminal, such as a ROM or other types of static storage devices that can store static information and instructions, such as RAM.

[0054] It is understood that the memory in this application may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory.

[0055] Non-volatile memory can be ROM, programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory.

[0056] Volatile memory can be RAM, which is used as an external cache. There are many different types of RAM, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus random access memory.

[0057] The embodiments described in this specific implementation are preferred embodiments of this application and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. An infrared image feature classification and identification method of a power transformation device in a fault state, characterized in that, The method comprises: determining the state of the power transformation equipment by referring to the features, the state comprising a normal state and a suspected fault state; when the state of the power transformation equipment is the suspected fault state, acquiring an infrared feature image of the power transformation equipment in the fault state; regionally separating the infrared feature image to obtain separated images, the temperature of the displayed part of the power transformation equipment on the separated images being within a set range of the separated images; determining the pattern of the displayed content on each separated image; organizing the pattern of the displayed content to obtain the same group and the different group; according to the same group and the different group, giving the type of the infrared feature image.

2. The method according to claim 1, characterized in that, The reference features comprise temperature features, voltage features and current features.

3. The method according to claim 1, characterized in that, When regionally separating the infrared feature image, first, the binary method is used to determine the temperature normal region and the temperature abnormal region, and then the ladder separation method is used to separate the temperature abnormal region to obtain a plurality of separated images.

4. The method of claim 1, wherein the method further comprises: Organizing the pattern of the displayed content comprises determining the inner contour and the outer contour of the pattern of the displayed content.

5. The method according to claim 4, characterized in that, When determining the inner contour and the outer contour of the pattern of the displayed content, the method further comprises determining the heating position corresponding to the inner contour and the outer contour of the pattern of the displayed content, the number of the heating position being one or more.

6. The method of claim 1, wherein the method further comprises: When according to the same group and the different group, the type of the infrared feature image is given, the rules are as follows: only when the same group exists, the type of the infrared feature image is the overall overload; when the different group exists, the type of the infrared feature image is the local abnormality.

7. The method according to claim 6, characterized in that, The method further comprises classifying the different group and giving the classification number.

8. An apparatus for classifying and identifying infrared image features of a power transformation device in a fault state, characterized in that, The system comprises: a state judging unit configured to determine the state of the power transformation equipment by referring to the features, the state comprising a normal state and a suspected fault state; an image acquiring unit configured to, when the state of the power transformation equipment is the suspected fault state, acquire an infrared feature image of the power transformation equipment in the fault state; an image separating unit configured to regionally separate the infrared feature image to obtain separated images, the temperature of the displayed part of the power transformation equipment on the separated images being within a set range of the separated images; a first processing unit configured to determine the pattern of the displayed content on each separated image; a second processing unit configured to organize the pattern of the displayed content to obtain the same group and the different group; a classification unit configured to, according to the same group and the different group, give the type of the infrared feature image.

9. An infrared image feature classification and identification system for a power transformation device in a fault state, characterized in that, The system comprises: one or more memories configured to store instructions; and one or more processors configured to call and run the instructions from the memories, and perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium comprises: a program configured to, when run by a processor, perform the method according to any one of claims 1 to 7.

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