substation

CN119362174BActive Publication Date: 2026-08-11NANJING NIWEIFU TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-29
Publication Date
2026-08-11

AI Technical Summary

Technical Problem

[0004]为了解决相关领域的技术问题,本发明提供了一种变电站,能够采用针对性的视觉识别机制对变电站所在的交通区域进行是否存在腈纶衣着人体的智能鉴别,并在智能鉴别存在时,执行人体远离提醒的语音报警操作,尤为关键的是,其中采用了将最新接收到的空域增强图像减去最新背景画面以获得对应的差值画面的视觉处理模式以保证视觉识别结果的可靠性和有效性

Benefits of technology

[0016] First, a targeted mean square error numerical comparison mode is used to determine the most reliable background image. The latest received spatial enhancement image is then subtracted from the most reliable background image to obtain the corresponding difference image, i.e., the foreground image. Object detection is then performed in the foreground image to narrow down the object detection range and improve the efficiency and speed of object detection.

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Abstract

This invention relates to a substation, comprising a substation body, a monitoring and execution mechanism, a combined filtering device, a sorting filtering device, a content enhancement device, a primary analysis device, a secondary analysis device, and a voice alarm device. The substation of this invention is safe, reliable, and operates stably, ensuring safe operation.
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Description

Technical Field

[0001] This invention relates to the field of power management, and more particularly to a substation. Background Technology

[0002] A substation is a location in a power system that transforms voltage and current, receives electrical energy, and distributes it. Substations within power plants are step-up substations, whose function is to step up the voltage of electrical energy generated by generators before feeding it into the high-voltage power grid. Electrical equipment within a substation is divided into primary and secondary equipment. Primary equipment refers to equipment that directly produces, transmits, distributes, and uses electrical energy, mainly including transformers, high-voltage circuit breakers, disconnect switches, busbars, surge arresters, capacitors, and reactors. Secondary equipment refers to equipment that measures, monitors, controls, and protects the operating conditions of primary equipment and systems. It mainly consists of relay protection systems, automatic systems, measurement and control systems, metering systems, automation systems, and DC equipment that provides power to the secondary equipment.

[0003] For convenient power transmission, some substations are located in areas with high traffic volume. However, substations have high safety requirements, especially high-voltage substations. Areas with high traffic volume inevitably bring busy traffic and pedestrian flow, which poses potential safety hazards to substations. For example, if a person wearing acrylic clothing gets too close to a high-voltage substation, there is a certain risk of fire. Summary of the Invention

[0004] To address the technical challenges in this field, the present invention provides a substation capable of employing a targeted visual recognition mechanism to intelligently identify the presence of individuals wearing acrylic clothing in the traffic area where the substation is located. Upon detection, the substation triggers a voice alarm to alert the user to move away from the person. Crucially, the invention utilizes a visual processing mode that subtracts the latest background image from the latest received spatial enhancement image to obtain the corresponding difference image, thereby ensuring the reliability and effectiveness of the visual recognition results.

[0005] According to the present invention, a substation is provided, including a substation body and an environmental directional monitoring and alarm system connected to the substation body, the environmental directional monitoring and alarm system comprising:

[0006] The monitoring actuator is installed on the wall of the substation perimeter wall. It is used to perform photoelectric sensing actions on the traffic environment outside the wall at set intervals to obtain and output the corresponding monitoring and sensing images.

[0007] A combined filtering device is installed in the control room inside the substation and connected to the monitoring execution mechanism. It is used to perform combined filtering processing on the received image to obtain and output the corresponding combined filtered image.

[0008] A sorting filter device, connected to the combined filter device, is used to perform statistical sorting filter processing on the received combined filter image to obtain and output the corresponding sorting filter image.

[0009] A content enhancement device, connected to the sorting and filtering device, is used to perform image spatial domain enhancement processing on the received sorting and filtering image to obtain and output a corresponding spatial domain enhanced image;

[0010] The primary analysis device, located in the control room inside the substation and connected to the content enhancement device, is used to select the image with the smallest mean square error of pixel values ​​among the multiple previously received spatial enhancement images as the latest background image each time a spatial enhancement image is received.

[0011] The secondary analysis device, connected to the primary analysis device, is used to subtract the latest background image from the latest received spatial enhancement image to obtain a corresponding difference image, and to perform object detection processing in the difference image to determine whether there is a human body wearing acrylic clothing.

[0012] A voice alarm device, connected to the secondary analysis device, is used to perform a voice alarm operation to remind the human body to move away when the presence of a human body wearing acrylic clothing is determined in the difference screen.

[0013] Among them, the image with the smallest mean square error of pixel value among the received multiple frames of spatial enhancement images is used as the latest background image. This includes: for each frame, obtaining the mean square error of each pixel value corresponding to each component pixel of the image as the mean square error of pixel value corresponding to the image.

[0014] The process of performing object detection processing in the difference image to determine whether there is a human body wearing acrylic clothing includes: identifying each human body imaging region in the difference image based on the reference contour corresponding to the human body, performing color imaging feature analysis of acrylic material on each human body imaging region, and determining that there is a human body wearing acrylic clothing when the analysis results determine that the color imaging feature of a certain human body imaging region matches the color imaging feature of acrylic material.

[0015] Therefore, it can be seen that the present invention has the following significant technical effects:

[0016] First, a targeted mean square error numerical comparison mode is used to determine the most reliable background image. The latest received spatial enhancement image is then subtracted from the most reliable background image to obtain the corresponding difference image, i.e., the foreground image. Object detection is then performed in the foreground image to narrow down the object detection range and improve the efficiency and speed of object detection.

[0017] Secondly: Subtract the latest background image from the latest received spatial enhancement image to obtain the corresponding difference image. Perform object detection processing in the difference image to determine whether there is a human body wearing acrylic clothing. When it is determined that there is a human body wearing acrylic clothing in the difference image, perform a voice alarm operation to remind the human body to move away.

[0018] Again: Based on the baseline contour recognition difference image of the human body, analyze the color imaging characteristics of acrylic material for each human body imaging area, and determine the existence of a human body wearing acrylic clothing when the analysis results determine that the color imaging characteristics of a certain human body imaging area match the color imaging characteristics of acrylic material.

[0019] The substation of this invention is safe, reliable, and operates stably. It employs a targeted visual recognition mechanism to intelligently identify the presence of people wearing acrylic clothing in the traffic area where the substation is located. When a person is detected, a voice alarm is triggered to alert the substation to move away. Furthermore, a customized differential image acquisition mechanism is used in the visual processing mode to ensure the reliability and effectiveness of the visual recognition results, thereby maintaining the safe operation of the substation. Attached Figure Description

[0020] The embodiments of the present invention will now be described with reference to the accompanying drawings, wherein:

[0021] Figure 1 This is a schematic diagram of the internal structure of a substation environmental directional monitoring and alarm system according to the first embodiment of the present invention.

[0022] Figure 2 This is a schematic diagram of the internal structure of a substation environmental directional monitoring and alarm system according to a second embodiment of the present invention.

[0023] Figure 3 This is a schematic diagram of the internal structure of a substation environmental directional monitoring and alarm system according to a third embodiment of the present invention. Detailed Implementation

[0024] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0025] This invention provides a substation, including a substation body and an environmental directional monitoring and alarm system connected to the substation body. In this invention, the term "substation body" refers to a substation body conventional in the art, as will be understood by those skilled in the art. For example, the substation body may include a substation generator room, a substation perimeter wall, and any other components that can be added as understood by those skilled in the art.

[0026] Figure 1This is a schematic diagram of the internal structure of a substation environmental directional monitoring and alarm system according to a first embodiment of the present invention. The system includes:

[0027] The monitoring actuator is installed on the wall of the substation perimeter wall. It is used to perform photoelectric sensing actions on the traffic environment outside the wall at set intervals to obtain and output the corresponding monitoring and sensing images.

[0028] For example, the monitoring execution mechanism has a built-in timed service unit, which is used to send a timed trigger command every set time interval to trigger the photoelectric sensing unit inside the monitoring execution mechanism to perform a photoelectric sensing action on the traffic environment outside the wall.

[0029] A combined filtering device is installed in the control room inside the substation and connected to the monitoring execution mechanism. It is used to perform combined filtering processing on the received image to obtain and output the corresponding combined filtered image.

[0030] A sorting filter device, connected to the combined filter device, is used to perform statistical sorting filter processing on the received combined filter image to obtain and output the corresponding sorting filter image.

[0031] A content enhancement device, connected to the sorting and filtering device, is used to perform image spatial domain enhancement processing on the received sorting and filtering image to obtain and output a corresponding spatial domain enhanced image;

[0032] The primary analysis device, located in the control room inside the substation and connected to the content enhancement device, is used to select the image with the smallest mean square error of pixel values ​​among the multiple previously received spatial enhancement images as the latest background image each time a spatial enhancement image is received.

[0033] The secondary analysis device, connected to the primary analysis device, is used to subtract the latest background image from the latest received spatial enhancement image to obtain a corresponding difference image, and to perform object detection processing in the difference image to determine whether there is a human body wearing acrylic clothing.

[0034] A voice alarm device, connected to the secondary analysis device, is used to perform a voice alarm operation to remind the human body to move away when the presence of a human body wearing acrylic clothing is determined in the difference screen.

[0035] Among them, the image with the smallest mean square error of pixel value among the received multiple frames of spatial enhancement images is used as the latest background image. This includes: for each frame, obtaining the mean square error of each pixel value corresponding to each component pixel of the image as the mean square error of pixel value corresponding to the image.

[0036] The process of performing object detection processing in the difference image to determine whether there is a human body wearing acrylic clothing includes: identifying each human body imaging region in the difference image based on the reference contour corresponding to the human body, performing color imaging feature analysis of acrylic material for each human body imaging region, and determining that there is a human body wearing acrylic clothing when the analysis results determine that the color imaging feature of a certain human body imaging region matches the color imaging feature of acrylic material.

[0037] Specifically, based on the baseline contour corresponding to the human body, each human body imaging region in the difference image is identified. The color imaging characteristics of the acrylic material are analyzed for each human body imaging region. When the analysis results determine that the color imaging characteristics of a certain human body imaging region match the color imaging characteristics of the acrylic material, it is determined that there is an acrylic clothing human body, including: the number of pixels occupied by each human body imaging region is greater than or equal to a set number threshold.

[0038] Figure 2 This is a schematic diagram of the internal structure of a substation environmental directional monitoring and alarm system according to a second embodiment of the present invention.

[0039] Compared to Figure 1 The substation environment directional monitoring and alarm system shown in the second embodiment of the present invention may further include:

[0040] A cache execution device is disposed near the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, and is respectively connected to the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device;

[0041] The buffer execution device, located near and connected to the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, includes: the buffer execution device being used to perform buffering operations on the input and output signals of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, respectively.

[0042] Figure 3 This is a schematic diagram of the internal structure of a substation environmental directional monitoring and alarm system according to a third embodiment of the present invention.

[0043] Compared to Figure 1 The substation environment directional monitoring and alarm system shown in the third embodiment of the present invention may further include:

[0044] The positioning server is located near the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, and is connected to the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, respectively.

[0045] The positioning server, located near the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device and connected to each of them, includes: the positioning server providing positioning data services based on the BeiDou navigation mechanism to each of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device.

[0046] Next, the specific structure of the substation environment directional monitoring and alarm system of the present invention will be further described.

[0047] In the various substation environment-oriented monitoring and alarm systems according to embodiments of the present invention:

[0048] An image optimization mechanism is used to perform image data processing on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the output processed data corresponding to the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, respectively.

[0049] The process of using an image optimization mechanism to perform image data processing on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processing data for each of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device includes: performing USM filter sharpening processing on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processing data for each of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device.

[0050] The process of using an image optimization mechanism to perform image data processing on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processing data for each of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device includes: performing histogram equalization processing on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processing data for each of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device.

[0051] The process of using an image optimization mechanism to perform image data processing on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processing data for each of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device includes: performing gamma correction on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processing data for each of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device.

[0052] The process of using an image optimization mechanism to perform image data processing on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the output processing data corresponding to each of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device includes: performing point image restoration on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the output processing data corresponding to each of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device.

[0053] In addition, in the substation environment directional monitoring and alarm system, based on the reference contour of the human body, each human body imaging area in the difference image is identified. The color imaging characteristics of the acrylic material are analyzed for each human body imaging area. When the analysis results determine that the color imaging characteristics of a certain human body imaging area match the color imaging characteristics of the acrylic material, it is determined that there is an acrylic clothing human body. The color imaging characteristics of the acrylic material are the R channel value range, G channel value range and B channel value range corresponding to the acrylic material.

[0054] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments, and any variations or modifications may be made to the implementation of the present invention without departing from the stated principles.

Claims

1. A substation, comprising a substation body and an environmental directional monitoring and alarm system connected to the substation body, characterized in that, The environmental directional monitoring and alarm system includes: The monitoring actuator is installed on the wall of the substation perimeter wall. It is used to perform photoelectric sensing actions on the traffic environment outside the wall at set intervals to obtain and output the corresponding monitoring and sensing images. A combined filtering device is installed in the control room inside the substation and connected to the monitoring execution mechanism. It is used to perform combined filtering processing on the received image to obtain and output the corresponding combined filtered image. A sorting filter device, connected to the combined filter device, is used to perform statistical sorting filter processing on the received combined filter image to obtain and output the corresponding sorting filter image. A content enhancement device, connected to the sorting and filtering device, is used to perform image spatial domain enhancement processing on the received sorting and filtering image to obtain and output a corresponding spatial domain enhanced image; The primary analysis device, located in the control room inside the substation and connected to the content enhancement device, is used to select the image with the smallest mean square error of pixel values ​​among the multiple previously received spatial enhancement images as the latest background image each time a spatial enhancement image is received. The secondary analysis device, connected to the primary analysis device, is used to subtract the latest background image from the latest received spatial enhancement image to obtain a corresponding difference image, and to perform object detection processing in the difference image to determine whether there is a human body wearing acrylic clothing. A voice alarm device, connected to the secondary analysis device, is used to perform a voice alarm operation to remind the human body to move away when the presence of a human body wearing acrylic clothing is determined in the difference screen. Specifically, for each frame, the mean squared error of each pixel value corresponding to each component pixel of the frame is obtained as the mean squared error of the pixel value corresponding to the frame. Among them, based on the reference contour corresponding to the human body, each human body imaging area in the difference image is identified, the color imaging characteristics of acrylic material are analyzed for each human body imaging area, and when the analysis results determine that the color imaging characteristics of a certain human body imaging area match the color imaging characteristics of acrylic material, it is determined that there is a human body wearing acrylic clothing. Among them, the number of pixels occupied by each human body imaging area is greater than or equal to a set threshold number. Among them, the color imaging characteristics of acrylic materials are the R channel value range, G channel value range and B channel value range corresponding to acrylic materials.

2. The substation as described in claim 1, characterized in that, The system also includes: A cache execution device is disposed near the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, and is respectively connected to the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device; The cache execution device is used to implement the cache operations of the input and output signals of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, respectively.

3. The substation as described in claim 1, characterized in that, The system also includes: The positioning server is located near the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, and is connected to the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, respectively. The positioning server is used to provide positioning data services based on the BeiDou navigation mechanism to the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, respectively.

4. The substation as described in any one of claims 1-3, characterized in that: An image optimization mechanism is used to perform image data processing on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processing data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device.

5. The substation as described in claim 4, characterized in that: USM filter sharpening is performed on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processed data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device.

6. The substation as described in claim 4, characterized in that: Histogram equalization is performed on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processing data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, respectively.

7. The substation as described in claim 4, characterized in that: Gamma correction is performed on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processing data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device, respectively.

8. The substation as described in claim 4, characterized in that: Image restoration is performed on the output data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device to obtain the corresponding output processing data of the combined filtering device, the sorting filtering device, the content enhancement device, and the primary analysis device.

Citation Information

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