CN113627247A - Transmission network line ice covers image recognition system based on 5G - Google Patents
Transmission network line ice covers image recognition system based on 5G Download PDFInfo
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- CN113627247A CN113627247A CN202110750188.1A CN202110750188A CN113627247A CN 113627247 A CN113627247 A CN 113627247A CN 202110750188 A CN202110750188 A CN 202110750188A CN 113627247 A CN113627247 A CN 113627247A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- H—ELECTRICITY
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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Abstract
The invention discloses a transmission network line ice covering image recognition system based on 5G, which comprises: the video monitoring terminal is applied to image reading of the power transmission network line; the edge calculation unit is used for calculating, analyzing and processing the image data and is arranged at the output tail end of the video monitoring terminal; and the image processing unit is electrically connected to the input end of the edge calculation unit. According to the power transmission network line ice coverage image recognition method based on 5G, the defogging camera is arranged to serve as the video monitoring terminal, when the power transmission network line is covered by ice and snow, the lens of the video monitoring terminal can complete defogging rotation, so that the video monitoring terminal can still normally shoot under the condition of repeated icing, the video monitoring terminal transmits video data to the edge computing unit, the service is locally processed through the computing capacity of the edge computing unit and the storage capacity of the data storage unit, and further the data transmission pressure is relieved.
Description
Technical Field
The invention relates to the technical field of power transmission line monitoring, in particular to a 5G-based power transmission network line ice coverage image recognition system.
Background
The ice and snow cover of the transmission line often cause accidents of tripping, line breaking, pole falling, insulator flashover, communication interruption and the like of the line. The application of the overhead line ice coating on-line monitoring technology solves the problems of long-term manual inspection and establishment of an ice observation station with high cost but unobvious effect. At the present stage, pictures can only be uploaded discontinuously through a public network of an operator, the icing condition cannot be reflected visually, and the icing condition needs to be analyzed by uploading continuous images by utilizing the advantages of a 5G network.
The transmission network line ice coverage image identification method based on 5G still has certain defects when in use: when the power transmission network line ice coverage image identification method is used, the transmission data pressure is high, and the video monitoring terminal of the power transmission network line ice coverage image identification method is inconvenient to observe and shoot under the repeated ice condition. It is therefore desirable to improve upon the above-identified problems.
Disclosure of Invention
In view of the above, the present invention provides a transmission grid line ice coverage image recognition system based on 5G, so as to solve the problems that the transmission data pressure is large when the transmission grid line ice coverage image recognition method proposed by the above background art is used, and the video monitoring terminal of the transmission grid line ice coverage image recognition method is inconvenient to observe and shoot under the condition of repeated ice.
The purpose of the invention is realized by the following technical scheme:
A5G-based power transmission network line ice coverage image recognition system comprises:
the video monitoring terminal is applied to image reading of the power transmission network line;
the edge calculation unit is used for calculating, analyzing and processing the image data and is arranged at the output tail end of the video monitoring terminal;
the image processing unit is electrically connected to the input end of the edge calculation unit and is used for processing the video data of the power transmission network line;
and the input end of the 5G gateway is connected with the output end of the edge computing unit, and the 5G gateway is used for uploading the data processed by the edge computing unit.
Furthermore, the model of the video monitoring terminal is DY-MAH 9118-9118 LA-20YF, the video monitoring terminal achieves defogging and defrosting in outdoor ice and snow weather, and the video monitoring terminal is installed on one side of the power transmission network line to monitor the icing state in real time.
Further, the 5G gateway is in wireless transmission connection with the monitoring master station, and the monitoring master station is used for receiving and monitoring the video information.
Furthermore, a data storage unit for realizing elastic storage of video data is further arranged inside the edge calculation unit, the edge calculation unit is connected with the data storage unit, and the edge calculation unit removes redundant information of video images through a video preprocessing technology of edge calculation, so that part or all of video analysis is migrated to the edge, and the calculation, storage and network bandwidth requirements of a data center are reduced.
Furthermore, the data storage unit is electrically connected with the edge calculation unit in a bidirectional mode, and the data storage unit is used for improving the utilization rate of the video data storage space for the edge calculation unit.
Further, the image processing unit further includes:
the input end of the image recognition module is connected with the output end of the video monitoring terminal through a wire, and the image recognition module is used for preprocessing an image;
the picture divider is connected to the output end of the image identification module;
and the input end of the image edge detector is connected with the output end of the picture divider, the output end of the image edge detector is electrically connected with one end of the edge calculation unit, and the image edge detector is used for sorting, analyzing and summarizing image information, extracting the characteristics capable of reflecting the essential boundary of the image and obtaining parameters capable of being used for judgment.
Further, the image recognition module is used for analyzing the image data of the two states of bare wires and ice coating of the transmission network line, and the image preprocessing comprises the following steps:
image transformation, which converts the image into frequency domain or space domain for processing by using the properties and characteristics of Fourier transformation, cosine/sine transformation, Walsh transformation, Hadamard transformation, wavelet transformation, etc., so as to improve the image quality and improve the operation processing speed;
image rotation, namely rotating all pixel points forming the image by a certain angle to meet the requirement of data analysis;
enhancing images, namely improving the definition of interested parts in the images by utilizing various mathematical methods and transformation means, highlighting some information in one image and weakening other useless information, including image gray correction, noise removal, image smoothing, corrosion, sharpening, image edge enhancement and the like;
the image filtering, the noise signal disturbs the observable information of the image, for the digital image signal, the noise table is more or less extreme values, the extreme values act on the real gray value of the image pixel through addition and subtraction, the interference of bright and dark points is caused to the image, the image quality is greatly reduced, and the noise of the target image is inhibited under the condition of keeping the detail characteristics of the image as much as possible.
Furthermore, the monitoring master station is used for scheduling the uploaded data globally, and the output end of the monitoring master station is in wireless connection with the mobile phone terminal.
Further, the mobile phone terminal is used for monitoring images covered by the transmission network line ice in real time, and early warning control can be performed on the state covered by the transmission network line ice through the mobile phone terminal.
Compared with the prior art, the power transmission network line ice covering image recognition method based on 5G is characterized in that a defogging camera is arranged as a video monitoring terminal, and when the power transmission network line is covered by ice and snow, a lens of the video monitoring terminal can complete defogging rotation, so that the video monitoring terminal can still normally shoot under the condition of repeated ice covering, the video monitoring terminal transmits video data to an edge computing unit, and the service is locally processed through the computing capacity of the edge computing unit and the storage capacity of a data storage unit, so that the data transmission pressure is relieved.
The invention has the beneficial effects that:
(1) according to the power transmission network line ice coverage image identification method based on 5G, video monitoring and image reading are carried out on a power transmission network line through a video monitoring terminal, an image identification module is used for preprocessing an image, the image is processed through a picture divider and an image edge detector, processed image information data are transmitted to an edge computing unit, and through the computing capacity of the edge computing unit and the storage capacity of a data storage unit, services are locally processed, and further data transmission pressure is relieved;
(2) according to the power transmission network line ice coverage image recognition method based on 5G, the defogging camera is arranged as the video monitoring terminal, so that the video monitoring terminal can perform stable video monitoring on the power transmission network line, and when the power transmission network line is covered by ice and snow, the lens of the video monitoring terminal can complete defogging rotation, so that the video monitoring terminal can still normally shoot under the condition of repeated icing
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the present invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings, in which:
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic diagram of an image processing unit according to the present invention;
FIG. 3 is a schematic flow chart of the present invention.
In the figure: 1. a video monitoring terminal; 2. an edge calculation unit; 3. an image processing unit; 31. an image recognition module; 32. a picture divider; 33. an image edge detector; 4. a 5G gateway; 5. a monitoring master station; 6. a data storage unit; 7. provided is a mobile phone terminal.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
As shown in fig. 1 to 3, a 5G-based transmission grid line ice coverage image recognition system of the present invention includes: video monitor terminal 1, be applied to the image reading to the transmission network circuit, edge calculation unit 2, be applied to and carry out calculation analysis processing to image data, and set up at video monitor terminal 1's output end, image processing unit 3, electric connection is at the input of edge calculation unit 2, and image processing unit 3 is used for handling the video data of transmission network circuit, 5G gateway 4, the input is connected with the output of edge calculation unit 2, and 5G gateway 4 is used for uploading the data that edge calculation unit 2 handled.
The model of the video monitoring terminal 1 is DY-MAH9118LA-20YF, the video monitoring terminal 1 achieves defogging and defrosting in outdoor ice and snow weather, and the video monitoring terminal 1 is installed on one side of a power transmission network line to monitor the icing state in real time.
The icing state of the power transmission network line is monitored by the video monitoring terminal 1 capable of realizing defogging and defrosting, so that the image can be well collected and read.
The 5G gateway 4 is in wireless transmission connection with the monitoring master station 5, and the monitoring master station 5 is used for receiving and monitoring video information.
Data are wirelessly transmitted to the monitoring main station 5 through the 5G gateway 4, so that the monitoring main station 5 divides images in a floating ice state and images in a non-icing state through an image monitoring model, extracts icing edge information, analyzes and processes differential information, and obtains the current icing thickness of a line and an insulator.
The edge computing unit 2 is also internally provided with a data storage unit 6 for realizing elastic storage of video data, the edge computing unit 2 is connected with the data storage unit 6, and the edge computing unit 2 removes redundant information of video images by a video preprocessing technology of edge computing so that part or all of video analysis is migrated to the edge, thereby reducing the computing, storage and network bandwidth requirements of a data center; the data storage unit 6 is electrically connected with the edge calculation unit 2 in a bidirectional manner, and the data storage unit 6 is used for improving the utilization rate of the video data storage space for the edge calculation unit 2.
The elastic storage of video data is realized through the data storage unit 6, and services are locally processed through the computing capability of the edge computing unit 2 and the storage capability of the data storage unit 6, so that the data transmission pressure is relieved.
The image processing unit 3 further includes: the input end of the image recognition module 31 is connected with the output end of the video monitoring terminal through an electric wire, and the image recognition module 31 is used for preprocessing an image; a picture splitter 32 connected to an output end of the image recognition module 31; the input end of the image edge detector 33 is connected to the output end of the frame divider 32, the output end of the image edge detector 33 is electrically connected to one end of the edge calculation unit, and the image edge detector 33 is used for sorting, analyzing and summarizing the image information, extracting the characteristic capable of reflecting the image essential boundary, and obtaining the parameter for judgment.
The image recognition module 31 is configured to analyze image data of two states, namely, a bare wire state and an ice coating state of the power transmission network line, and the following processes are required to be performed when the image is preprocessed:
s1: image transformation, which converts the image into frequency domain or space domain for processing by using the properties and characteristics of Fourier transformation, cosine/sine transformation, Walsh transformation, Hadamard transformation, wavelet transformation, etc., so as to improve the image quality and improve the operation processing speed;
s2: image rotation, namely rotating all pixel points forming the image by a certain angle to meet the requirement of data analysis;
s3: enhancing images, namely improving the definition of interested parts in the images by utilizing various mathematical methods and transformation means, highlighting some information in one image and weakening other useless information, including image gray correction, noise removal, image smoothing, corrosion, sharpening, image edge enhancement and the like;
s4: the image filtering, the noise signal disturbs the observable information of the image, for the digital image signal, the noise table is more or less extreme values, the extreme values act on the real gray value of the image pixel through addition and subtraction, the interference of bright and dark points is caused to the image, the image quality is greatly reduced, and the noise of the target image is inhibited under the condition of keeping the detail characteristics of the image as much as possible.
The image is preprocessed by the image recognition module 31, because the image transformation generally utilizes the properties and characteristics of fourier transform, cosine/sine transform, walsh transform, hadamard transform, wavelet transform, etc., the image is converted into a frequency domain or a space domain for processing, so as to improve the image quality, and at the same time, the operation processing speed can be increased, and the image rotation mainly rotates all pixel points forming the image by a certain angle to meet the requirement of data analysis, and the image enhancement mainly refers to the utilization of various mathematical methods and transformation means to improve the definition of the interested part in the image, highlight some information in the image, and weaken other useless information, including image gray level correction, noise removal, image smoothing, corrosion, sharpening, image edge enhancement, etc.
The monitoring master station 5 is used for scheduling the uploaded data globally, and the output end of the monitoring master station 5 is in wireless connection with the mobile phone terminal 7; the mobile phone terminal 7 is used for monitoring the ice-covered image of the transmission network line in real time, and the early warning control can be performed on the ice-covered state of the transmission network line through the mobile phone terminal 7.
The data information is transmitted to the monitoring main station 5 through the 5G gateway 4, so that the monitoring main station 5 stores historical data and images shot in real time, and the shot images are transmitted to the mobile phone terminal 7 through the monitoring main station 5 for personnel early warning monitoring.
The working principle is as follows: in using the method for identifying ice-covered images of a transmission line based on 5G, first, by setting a defogging camera as the video monitoring terminal 1, the video monitoring terminal 1 can carry out video monitoring on the transmission network line, thereby ensuring that the normal shooting can be carried out under the condition of repeated icing, before the primary icing calculation, the bare wires under the camera of the video monitoring terminal 1 are processed and analyzed to obtain the shooting parameters corresponding to the camera, and the other images shot by the video monitoring terminal 1 are subjected to icing thickness identification calculation based on the two acquired values, the hardware unit with computing power is integrated into the front-end by using the edge calculation unit 2, where, in the edge calculation unit 2, the calculations usually take place in the vicinity of the data source, i.e. the identification of the video data at the edge of the video data acquisition, which is not described in detail in this description, is well known to the person skilled in the art.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (8)
1. A5G-based power transmission network line ice coverage image recognition system, characterized in that the system comprises:
the video monitoring terminal (1) is applied to image reading of the power transmission network line;
the edge calculation unit (2) is used for calculating, analyzing and processing the image data and is arranged at the output tail end of the video monitoring terminal (1);
the image processing unit (3) is electrically connected to the input end of the edge computing unit (2), and the image processing unit (3) is used for processing the video data of the power transmission network line;
and the input end of the 5G gateway (4) is connected with the output end of the edge computing unit (2), and the 5G gateway (4) is used for uploading the data processed by the edge computing unit (2).
2. The system according to claim 1, wherein the system comprises: the video monitoring terminal (1) is installed on one side of the power transmission network line to monitor the icing state in real time.
3. The system according to claim 1, wherein the system comprises: the 5G gateway (4) is in wireless transmission connection with the monitoring master station (5), and the monitoring master station (5) is used for receiving and monitoring video information.
4. The system according to claim 1, wherein the system comprises: the edge computing unit (2) is internally provided with a data storage unit (6) for realizing elastic storage of video data, the edge computing unit (2) and the data storage unit (6) are electrically connected, and the edge computing unit (2) removes redundant information of video images through a video preprocessing technology of edge computing so that part or all of video analysis is migrated to the edge.
5. The system according to claim 1, wherein the system comprises: the image processing unit (3) further comprises:
the input end of the image recognition module (31) is electrically connected with the output end of the video monitoring terminal, and the image recognition module (31) is used for preprocessing images;
a picture divider (32) connected to an output of the image recognition module (31);
and the input end of the image edge detector (33) is connected with the output end of the picture divider (32), the output end of the image edge detector (33) is electrically connected with one end of the edge calculation unit, and the image edge detector (33) is used for sorting, analyzing and summarizing image information, extracting the characteristics capable of reflecting the essential boundary of the image and obtaining parameters capable of being used for judgment.
6. The system according to claim 5, wherein the system comprises: the image recognition module (31) is used for analyzing the image data of the two states of bare wires and ice coating of the transmission network line, and the image preprocessing comprises the following steps:
the image transformation is to convert the image into a frequency domain or a space domain for processing so as to improve the image quality and improve the operation processing speed;
image rotation, namely rotating all pixel points forming the image by a certain angle to meet the requirement of data analysis;
image enhancement, which highlights certain information in an image while attenuating other unwanted information;
and image filtering, namely, suppressing the noise of the target image under the condition of keeping the detail characteristics of the image as much as possible.
7. The system according to claim 3, wherein the system comprises: the monitoring master station (5) is used for scheduling the uploaded data globally, and the output end of the monitoring master station (5) is in wireless connection with the mobile phone terminal (7).
8. The system according to claim 7, wherein the system comprises: the mobile phone terminal (7) is used for monitoring images covered by the transmission network line ice in real time, and early warning control can be performed on the state covered by the transmission network line ice through the mobile phone terminal (7).
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| CN102252623A (en) * | 2011-06-24 | 2011-11-23 | 西安工程大学 | Measurement method for lead/ground wire icing thickness of transmission line based on video variation analysis |
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| CN112667390A (en) * | 2020-11-26 | 2021-04-16 | 贵州电网有限责任公司 | Icing monitoring data processing system and method combining 5G technology and edge calculation |
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- 2021-07-01 CN CN202110750188.1A patent/CN113627247A/en active Pending
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| CN102252623A (en) * | 2011-06-24 | 2011-11-23 | 西安工程大学 | Measurement method for lead/ground wire icing thickness of transmission line based on video variation analysis |
| CN102980607A (en) * | 2011-09-07 | 2013-03-20 | 辽宁省电力有限公司营口供电公司 | Electric transmission line image identification monitoring system |
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