Strong wind sand area transmission conductor galloping early warning system based on video monitoring technology

文档序号:1819048 发布日期:2021-11-09 浏览:12次 中文

阅读说明:本技术 基于视频监测技术的强风沙地区输电导线舞动预警系统 (Strong wind sand area transmission conductor galloping early warning system based on video monitoring technology ) 是由 潘兴波 周鹏 靳超 刘飞 杨东 靳静 李傲 栗赛男 聂桂玲 于 2021-08-18 设计创作,主要内容包括:本发明涉及输电技术领域,具体地说,涉及基于视频监测技术的强风沙地区输电导线舞动预警系统。其包括能量供给单元、图像采集单元、风速检测单元、数据分析单元、数据反馈单元和控制调节单元。本发明通过设置的图像采集单元对导线进行捕捉,同时风速检测单元对风速和风向进行检测,并将检测和捕捉的导线图像传递到数据分析单元中进行分析判断,以判断出导线是否进行舞动,并在导线大幅度摆动和进行舞动时,向管理端发送警示的信号,以便于管理端的人及时的知晓,以便于在后期导线发生断裂需要抢修时,对导线摆动的区域进行重点排查,减少导线排查的工作量。(The invention relates to the technical field of power transmission, in particular to a power transmission conductor galloping early warning system in a strong wind sand area based on a video monitoring technology. The wind speed detection device comprises an energy supply unit, an image acquisition unit, a wind speed detection unit, a data analysis unit, a data feedback unit and a control and regulation unit. The wire is captured by the arranged image acquisition unit, the wind speed detection unit detects the wind speed and the wind direction, the detected and captured wire image is transmitted to the data analysis unit for analysis and judgment, whether the wire swings or not is judged, and when the wire swings greatly and swings, a warning signal is sent to the management end, so that people at the management end can know the wire in time, the wire is broken at the later stage and the swinging area of the wire needs to be inspected in a key mode, and the workload of wire inspection is reduced.)

1. The system is characterized by comprising an energy supply unit (1), an image acquisition unit (2), a wind speed detection unit (3), a data analysis unit (4), a data feedback unit (5) and a control and regulation unit (6);

the energy supply unit (1) is used for supplying electric energy to the image acquisition unit (2), the wind speed detection unit (3), the data analysis unit (4) and the data feedback unit (5);

the image acquisition unit (2) is used for capturing the position of the lead;

the wind speed detection unit (3) is used for detecting the wind speed, and simultaneously sending a signal to the image acquisition unit (2) after the detected wind speed reaches a certain value, so that the image acquisition unit (2) shoots and captures the position of the wire;

the data analysis unit (4) is used for receiving the wind speed acquired by the wind speed detection unit (3) and the image shot by the image acquisition unit (2), and judging the swinging condition of the wire according to the wind speed and the position of the wire;

the data feedback unit (5) is used for sending out the swinging condition of the wire;

the control and regulation unit (6) is used for controlling the swinging wire.

2. The high wind sand area power transmission conductor galloping early warning system based on the video monitoring technology as claimed in claim 1, wherein: the energy supply unit (1) comprises an energy collection module (11), an electric energy storage module (12) and an electric energy release module (13);

the energy collection module (11) is used for collecting external energy and converting the external energy into electric energy;

the electric energy storage module (12) is used for storing the electric energy collected by the energy collection module (11);

the electric energy release module (13) is used for releasing the electric energy in the energy collection module (11) and the electric energy storage module (12).

3. The high wind sand area power transmission conductor galloping early warning system based on the video monitoring technology as claimed in claim 1, wherein: the image acquisition unit (2) comprises an image capture module (21), a limit setting module (22), a contrast module (23) and an image limit transmission module (24);

the image capturing module (21) is used for receiving the information specification generated by the wind speed detection unit (3) and performing continuous image capturing on the conducting wire after receiving the information specification;

the limit setting module (22) is used for limiting the safety range of the wire swing captured by the image capturing module (21);

the comparison module (23) is used for receiving the swinging range limited by the limit setting module (22) and the pictures of the wire swinging captured by the image capturing module (21), judging the position of the wire by capturing wire information on the pictures, and generating the picture information of the wire swinging exceeding the limit of the limit setting module (22) into the image limit transmission module (24);

the image definition transmission module (24) is used for receiving the picture information of the comparison module (23), identifying the maximum value of the wire swing in the picture and sending the identified maximum value of the swing to the data analysis unit (4).

4. The high wind sand area power transmission conductor galloping early warning system based on the video monitoring technology as claimed in claim 3, wherein: the method for capturing the position of the conducting wire on the picture by the comparison module (23) adopts a local dynamic threshold separation algorithm, and the algorithm steps are as follows:

dividing an image: performing local threshold segmentation on a complex background with wires in pictures transmitted in a limit setting module (22) and a comparison module (23);

selecting a local threshold: two groups of subimage sets p obtained by local threshold segmentation1,p2,....,pkAnd q1,q2,....,qkAnalyzing, acquiring segmentation threshold values of two groups of subimages and storing the segmentation threshold values into a threshold value matrix;

thirdly, eliminating the block effect: smoothing the threshold matrix to ensure that the threshold of each sub-image is fused with the threshold information of the sub-images around the sub-image, and finally obtaining the threshold matrix for image segmentation;

fourthly, binarization of the image: and (4) carrying out binarization processing on the original image by adopting the threshold matrix obtained in the step (c).

5. The high wind sand area power transmission conductor galloping early warning system based on the video monitoring technology as claimed in claim 4, wherein: when dividing the image, the method comprises the following specific steps:

1) reading in the original image, and dividing the original image for the first time to obtain n sub-images o with equal size1,o2....on

2) Carrying out histogram analysis on each sub-image, and calculating the gray level mean value mu of the sub-image1Maximum gray value g1And the minimum gray value g2

3) Stopping continuously dividing when the sub-images meet the dividing condition, and sequentially recording the sub-images as p1,p2,....pr,1≤r≤n;

4) When the sub-images do not meet the segmentation condition, performing secondary division, dividing the sub-images into four sub-images with equal size, and sequentially recording the sub-images obtained by division as q1,q2,...,qk,1≤k≤4n。

6. The high wind sand area power transmission conductor galloping early warning system based on the video monitoring technology as claimed in claim 4, wherein: the specific steps of local threshold selection are as follows:

1) for a set of sub-images { p }1,p2,....,pkCalculating segmentation threshold values T in sequence by using a global Otsu algorithm, copying four sub-images, and storing the four sub-images in corresponding positions of a threshold matrix;

2) analyzing the sub-image set { q }1,q2,....,qkThe histogram of each sub-image in the (1) and calculating the gray level mean value mu of each sub-image2Maximum gray value g3And the minimum gray value g4Meanwhile, the method provided in the step two is used for judging whether the segmentation condition is met;

3) when the sub-image meets the segmentation condition, calculating the segmentation threshold of the sub-image by using a global Otsu algorithm and storing the segmentation threshold into a threshold matrix;

4) if the sub-image does not satisfy the division condition, determining the mu2And g3、g4Determining a sub-image segmentation threshold if mu2Is close to g3Then, a proximity g is specified3A small threshold of (d); mu.s of2Is close to g4Then, a proximity g is specified4A large threshold of;

5) the division is terminated to obtain a threshold matrix M of NxN1The number of elements is 4 n.

7. The high wind sand area power transmission conductor galloping early warning system based on the video monitoring technology as claimed in claim 1, wherein: the wind speed detection unit (3) comprises a wind speed measurement module (31), a wind speed warning module (32), a wind direction determination module (33) and a warning transmission module (34);

the wind speed measuring module (31) is used for detecting the local wind speed;

the wind speed warning module (32) is used for detecting the local wind direction;

the wind direction determination module (33) is used for setting the limit of wind speed warning;

the warning transmission module (34) is used for receiving the data transmitted by the wind direction determination module (33) and the wind speed warning module (32) and transmitting the received data to the image acquisition unit (2) and the data analysis unit (4).

8. The high wind sand area power transmission conductor galloping early warning system based on the video monitoring technology as claimed in claim 1, wherein: the data analysis unit (4) comprises a line pendulum checking module (41) and a data storage module (42);

the line swing checking module (41) is used for receiving data transmitted by the wind speed detection unit (3) and the image acquisition unit (2) and judging whether the swing of the wire is normal or not according to the data transmitted by the image acquisition unit (2) and the wind speed detection unit (3);

the data storage module (42) is used for storing the result of the line pendulum checking module (41) checking and the data received by the line pendulum checking module (41), copying and sending one copy to the data feedback unit (5).

9. The high wind sand area power transmission conductor galloping early warning system based on the video monitoring technology as claimed in claim 8, wherein: the method for judging whether the wire swinging is normal by the wire swinging checking module (41) comprises the following steps:

1) when the swinging direction of the wire is the same as the wind direction and the swinging range of the wire is fixed, the wire swings normally;

2) when the lead shakes left and right, but the falling arc of the lead faces downwards, the data analysis unit (4) sends out warning information to the management end through the data feedback unit (5);

3) when the wire is irregularly waved, the swinging position of the wire is messy, and the falling arc of the wire is upward or obliquely upward, the wire enters a waving state, and the data analysis unit (4) generates emergency information to the management pipe through the data feedback unit (5).

10. The high wind sand area power transmission conductor galloping early warning system based on the video monitoring technology as claimed in claim 1, wherein: the control and regulation unit (6) comprises a wire body protection module (61) and a positioning module (62);

the wire body protection module (61) is used for moving on a lead;

the positioning module (62) is used for positioning the movable line body protection module (61), and in the moving process of the line body protection module (61), the image acquisition unit (2) continuously captures images of the conducting wire.

Technical Field

The invention relates to the technical field of power transmission, in particular to a power transmission conductor galloping early warning system in a strong wind sand area based on a video monitoring technology.

Background

China is due to terrain, east coastal areas have more people, west areas have less people, and places with more people use more electric energy, in order to solve the problem of electricity utilization in the east, a project of sending west electricity and east electricity occurs.

Disclosure of Invention

The invention aims to provide a power transmission conductor galloping early warning system in a strong wind sand area based on a video monitoring technology, so as to solve the problems in the background technology.

In order to achieve the purpose, the invention provides a power transmission conductor galloping early warning system in a strong wind sand area based on a video monitoring technology, which comprises an energy supply unit, an image acquisition unit, a wind speed detection unit, a data analysis unit, a data feedback unit and a control and regulation unit;

the energy supply unit is used for supplying electric energy to the image acquisition unit, the wind speed detection unit, the data analysis unit and the data feedback unit;

the image acquisition unit is used for capturing the position of the lead and determining the shaking position of the lead;

the wind speed detection unit is used for detecting the wind speed, and simultaneously sending a signal to the image acquisition unit after the detected wind speed reaches a certain value, so that the image acquisition unit shoots and captures the position of the wire;

the data analysis unit is used for receiving the wind speed acquired by the wind speed detection unit and the image shot by the image acquisition unit and judging the swinging condition of the wire according to the wind speed and the position of the wire;

the data feedback unit is used for sending out the swinging condition of the conducting wire;

the control and regulation unit is used for controlling the swinging wire.

As a further improvement of the present technical solution, the energy supply unit includes an energy harvesting module, an electrical energy storage module and an electrical energy release module;

the energy collection module is used for collecting external energy and converting the external energy into electric energy;

the electric energy storage module is used for storing the electric energy collected by the energy collection module;

the electric energy release module is used for releasing the electric energy in the energy collection module and the electric energy storage module.

As a further improvement of the technical scheme, the image acquisition unit comprises an image capturing module, a limit setting module, a comparison module and an image limiting and transmitting module;

the image capturing module is used for receiving the information specification generated by the wind speed detection unit and performing continuous image capturing on the conducting wire after receiving the information specification;

the limit setting module is used for limiting the safety range of the wire swing captured by the image capturing module;

the comparison module is used for receiving the swinging range limited by the limit setting module and the picture of the swinging of the conducting wire captured by the image capturing module, judging the position of the conducting wire by capturing conducting wire information on the picture, and generating the picture information of the swinging of the conducting wire exceeding the limit of the limit setting module into the image limit transmission module;

the image limiting and transmitting module is used for receiving the picture information of the comparison module, identifying the maximum value of the wire swing in the picture and sending the identified maximum value of the swing to the data analysis unit.

As a further improvement of the technical solution, the method for capturing the position of the wire on the picture by the comparison module adopts a local dynamic threshold separation algorithm, and the algorithm steps are as follows:

dividing an image: performing local threshold segmentation on the complex background with the conducting wire in the pictures transmitted in the limit setting module and the comparison module;

selecting a local threshold: two groups of subimage sets p obtained by local threshold segmentation1,p2,....,pkAnd q1,q2,....,qkAnalyzing, acquiring segmentation threshold values of two groups of subimages and storing the segmentation threshold values into a threshold value matrix;

thirdly, eliminating the block effect: smoothing the threshold matrix to ensure that the threshold of each sub-image is fused with the threshold information of the sub-images around the sub-image, and finally obtaining the threshold matrix for image segmentation;

fourthly, binarization of the image: and (4) carrying out binarization processing on the original image by adopting the threshold matrix obtained in the step (c).

As a further improvement of the technical solution, when dividing the image, the method specifically comprises the following steps:

1) reading in the original image, and dividing the original image for the first time to obtain n sub-images o with equal size1,o2....on

2) Carrying out histogram analysis on each sub-image, and calculating the gray level mean value mu of the sub-image1Maximum gray value g1And the minimum gray value g2

3) Stopping continuously dividing when the sub-images meet the dividing condition, and sequentially recording the sub-images as p1,p2,....pr,1≤r≤n;

4) When the sub-images do not meet the segmentation condition, performing secondary division, dividing the sub-images into four sub-images with equal size, and sequentially recording the sub-images obtained by division as q1,q2,...,qk,1≤k≤4n。

As a further improvement of the technical scheme, the specific steps of selecting the local threshold value are as follows:

1) for a set of sub-images { p }1,p2,....,pkCalculating segmentation threshold values T in sequence by using a global Otsu algorithm, copying four sub-images, and storing the four sub-images in corresponding positions of a threshold matrix;

2) analyzing the sub-image set { q }1,q2,....,qkThe histogram of each sub-image in the (1) and calculating the gray level mean value mu of each sub-image2Maximum gray value g3And the minimum gray value g4Meanwhile, the method provided in the step two is used for judging whether the segmentation condition is met;

3) when the sub-image meets the segmentation condition, calculating the segmentation threshold of the sub-image by using a global Otsu algorithm and storing the segmentation threshold into a threshold matrix;

4) if the sub-image does not satisfy the division condition, determining the mu2And g3、g4Determining a sub-image segmentation threshold if mu2Is close to g3Then, a proximity g is specified3A small threshold of (d); mu.s of2Is close to g4Then, a proximity g is specified4A large threshold of;

5) the division is terminated to obtain a threshold matrix M of NxN1The number of elements is 4 n.

As a further improvement of the technical scheme, the wind speed detection unit comprises a wind speed measurement module, a wind speed warning module, a wind direction determination module and a warning transmission module;

the wind speed measuring module is used for detecting the local wind speed;

the wind speed warning module is used for detecting the local wind direction;

the wind direction determining module is used for setting the limit of wind speed warning;

the warning transmission module is used for receiving the data transmitted by the wind direction determination module and the wind speed warning module and transmitting the received data to the image acquisition unit and the data analysis unit.

As a further improvement of the technical solution, the data analysis unit includes a line swing checking module and a data storage module;

the line swing checking module is used for receiving data transmitted by the wind speed detection unit and the image acquisition unit and judging whether the swing of the conducting wire is normal or not according to the data transmitted by the image acquisition unit and the wind speed detection unit;

the data storage module is used for storing the result checked by the line pendulum checking module and the data received by the line pendulum checking module, copying the result and sending the copy to the data feedback unit.

As a further improvement of the technical solution, the method for judging whether the wire swing is normal by the wire swing checking module includes:

1) when the swinging direction of the wire is the same as the wind direction and the swinging range of the wire is fixed, the wire swings normally;

2) when the lead shakes left and right, but the falling arc of the lead faces downwards, the data analysis unit sends out warning information to the management end through the data feedback unit;

3) when the wire is irregularly waved, the swinging position of the wire is messy, and the falling arc of the wire is upward or obliquely upward, the wire enters a waving state, and the data analysis unit generates emergency information to the management pipe through the data feedback unit.

As a further improvement of the technical scheme, the control and adjustment unit comprises a wire body protection module and a positioning module;

the wire body protection module is used for moving on a lead;

the positioning module is used for positioning the movable line body protection module, and the image acquisition unit continuously captures images of the conducting wire in the moving process of the line body protection module.

Compared with the prior art, the invention has the beneficial effects that:

1. in this strong wind sand district transmission conductor early warning system that waves based on video monitoring technique, catch the wire through the image acquisition unit that sets up, wind speed detecting element detects wind speed and wind direction simultaneously, and transmit the wire image that detects and catch and carry out analysis and judgment in the data analysis unit, whether to wave with judging the wire, and when the wire by a wide margin swings and waves, send the signal of warning to the management end, so that the people of management end in time know, so that when the wire breaks and needs to be salvageed in later stage, carry out key investigation to the wobbling area of wire, reduce the work load of wire investigation.

2. In the early warning system for the galloping of the transmission conductor in the strong wind sandy area based on the video monitoring technology, the swinging condition of the conductor is captured through the arranged image acquisition unit, the captured image is divided and analyzed, the swinging condition of the conductor is extracted conveniently, meanwhile, the wind direction is detected through the wind speed detection unit, and when the data analysis unit judges the swinging condition of the conductor, the system is more convenient, the step of judging the galloping of the conductor is reduced, and the judgment speed of the data analysis unit is accelerated.

Drawings

FIG. 1 is an overall block diagram of embodiment 1 of the present invention;

FIG. 2 is a block diagram of an energy supply unit according to embodiment 1 of the present invention;

FIG. 3 is a block diagram of an image capturing unit according to embodiment 1 of the present invention;

FIG. 4 is a block diagram of a wind speed detecting unit according to embodiment 1 of the present invention;

FIG. 5 is a block diagram of a data analysis unit according to embodiment 1 of the present invention;

FIG. 6 is a block diagram of a control and regulation unit according to embodiment 1 of the present invention;

fig. 7 is an overall flowchart of embodiment 1 of the present invention.

The various reference numbers in the figures mean:

1. an energy supply unit; 11. an energy harvesting module; 12. an electrical energy storage module; 13. an electric energy release module;

2. an image acquisition unit; 21. an image capture module; 22. a limit setting module; 23. a comparison module; 24. an image definition transmission module;

3. a wind speed detection unit; 31. a wind speed measuring module; 32. a wind speed warning module; 33. a wind direction determination module; 34. a warning transmission module;

4. a data analysis unit; 41. a line pendulum checking module; 42. a data saving module;

5. a data feedback unit;

6. controlling the adjusting unit; 61. a wire body protection module; 62. and a positioning module.

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.

In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.

Example 1

The invention provides a strong wind sand area transmission conductor galloping early warning system based on a video monitoring technology, which refers to the figures 1-7 and comprises an energy supply unit 1, an image acquisition unit 2, a wind speed detection unit 3, a data analysis unit 4, a data feedback unit 5 and a control and regulation unit 6;

the energy supply unit 1 is used for supplying electric energy to the image acquisition unit 2, the wind speed detection unit 3, the data analysis unit 4 and the data feedback unit 5 so as to facilitate the image acquisition unit 2 to shoot a wire and the wind speed detection unit 3 to detect the wind speed;

the energy supply unit 1 comprises an energy harvesting module 11, an electrical energy storage module 12 and an electrical energy release module 13;

the energy collecting module 11 is used for collecting external energy and converting the external energy into electric energy, and the external energy collecting mode is solar energy and wind energy electricity generation;

the electric energy storage module 12 is used for storing the electric energy collected by the energy collection module 11 so as to provide the electric energy for the system when encountering weather of sky shade and no wind, and meanwhile, the electric energy storage module 12 is connected with a lead so as to ensure that the continuous lead of the energy supply unit 1 is monitored;

the electric energy release module 13 is used for releasing the electric energy in the energy collection module 11 and the electric energy storage module 12, and supplying power to the whole system, so that the whole system can process the working state;

the image acquisition unit 2 is used for capturing the position of the lead and determining the shaking position of the lead so as to obtain the shaking position of the lead and the shaking condition of the lead;

the image acquisition unit 2 comprises an image capture module 21, a limit setting module 22, a comparison module 23 and an image limit transmission module 24;

the image capturing module 21 is configured to receive the information designation generated by the wind speed detecting unit 3, perform continuous image capturing on the wires after receiving the information designation, and adopt continuous image capturing to facilitate capturing of continuous position changes of the wires, so as to ensure that capturing is not missed and ensure that all position actions of the wires are captured;

the limit setting module 22 is used for limiting the safety range of the wire swing captured by the image capturing module 21;

the comparison module 23 is used for receiving the swinging range limited by the limit setting module 22 and the picture of the wire swinging captured by the image capturing module 21, judging the position of the wire by capturing the wire information on the picture, and generating the picture information of the wire swinging exceeding the limit of the limit setting module 22 into the image limit transmission module 24;

the method for capturing the position of the conducting wire on the picture by the comparison module 23 adopts a local dynamic threshold separation algorithm, and the algorithm steps are as follows:

dividing an image: the method comprises the following steps of performing local threshold segmentation on a complex background with a conducting wire in pictures transmitted in a limit setting module 22 and a comparison module 23:

1) reading in the original image, and dividing the original image for the first time to obtain n sub-images o with equal size1,o2....on

2) Carrying out histogram analysis on each sub-image, and calculating the gray level mean value mu of the sub-image1Maximum gray value g1And the minimum gray value g2When the ratio of the object to the background in the image is too different and the average gray level of the image is close to the highest gray level or the lowest gray level, i.e. when | mu |1-g1| or | μ1-g2If the | is smaller than a certain-set threshold value, the segmentation condition is considered to be invalid, the segmentation condition is judged to be not satisfied at the moment, and the segmentation condition is considered to be satisfied under other conditions;

3) stopping continuously dividing when the sub-images meet the dividing condition, and sequentially recording the sub-images as p1,p2,....pr,1≤r≤n;

4) When the sub-images do not meet the segmentation condition, performing secondary division, dividing the sub-images into four sub-images with equal size, and sequentially recording the sub-images obtained by division as q1,q2,...,qk,1≤k≤4n

Selecting a local threshold: two groups of subimage sets p obtained by local threshold segmentation1,p2,....,pkAnd q1,q2,....,qkAnalysis is carried out and segmentation thresholds for two sets of sub-images are obtainedStoring the values in a threshold matrix;

the specific steps of local threshold selection are as follows:

1) for a set of sub-images { p }1,p2,....,pkCalculating segmentation threshold values T in sequence by using a global Otsu algorithm, copying four sub-images, and storing the four sub-images in corresponding positions of a threshold matrix;

2) analyzing the sub-image set { q }1,q2,....,qkThe histogram of each sub-image in the (1) and calculating the gray level mean value mu of each sub-image2Maximum gray value g3And the minimum gray value g4Meanwhile, the method provided in the step two is used for judging whether the segmentation condition is met;

3) when the sub-image meets the segmentation condition, calculating the segmentation threshold of the sub-image by using a global Otsu algorithm and storing the segmentation threshold into a threshold matrix;

4) if the sub-image does not satisfy the division condition, determining the mu2And g3、g4Determining a sub-image segmentation threshold if mu2Is close to g3Then, a proximity g is specified3A small threshold of (d); mu.s of2Is close to g4Then, a proximity g is specified4A large threshold of;

5) the division is terminated to obtain a threshold matrix M of NxN1The number of elements is 4 n;

thirdly, eliminating the block effect: smoothing the threshold matrix to fuse the threshold of each sub-image with the threshold information of the sub-image around it, reducing the mutation between the adjacent threshold elements, and then performing bilinear interpolation on the threshold matrix to make the thresholds of the adjacent sub-images transition evenly and smoothly, finally obtaining the threshold matrix for image segmentation, wherein the specific steps are as follows:

1) to matrix M1Performing smoothing, i.e. M1Adding each threshold element and each threshold element existing in 8 neighborhoods around the threshold element to obtain the average value, replacing the original threshold value with the average value, and obtaining an NxN smooth matrix M after the smooth operation is finished2

2) To matrix M2Using bilinear interpolationThe interpolation method as threshold matrix carries out interpolation processing, and after the interpolation is finished, a new threshold matrix M equal to the number of the pixels of the original image is obtained3Wherein, each element and the pixel point of the corresponding position in the original image form a one-to-one corresponding relation;

fourthly, binarization of the image: carrying out binarization processing on the original image by adopting the threshold matrix obtained in the step three, and comparing all pixels in the original image with each element in the threshold matrix one by one in the processing process to obtain a binarized image of the target and the background

The image limit transmission module 24 is used for receiving the picture information of the comparison module 23, identifying the maximum value of the wire swing in the picture and sending the identified maximum value of the swing to the data analysis unit 4

The wind speed detection unit 3 is used for detecting the wind speed, and simultaneously sending a signal to the image acquisition unit 2 after the detected wind speed reaches a certain value, so that the image acquisition unit 2 shoots and captures the position of the wire, and the image acquisition unit 2 cannot shoot the wire all the time when no wind exists or the wind is small, thereby reducing the loss of electric energy;

the wind speed detection unit 3 comprises a wind speed measurement module 31, a wind speed warning module 32, a wind direction determination module 33 and a warning transmission module 34;

the wind speed measuring module 31 is used for detecting the local wind speed, and a device for detecting the wind speed is a wind speed detector;

the wind speed warning module 32 is used for detecting the local wind direction, and a device for detecting the wind direction is not a wind direction detector;

the wind direction determination module 33 is configured to set a wind speed warning limit, and when the wind speed does not reach the warning value, the wind speed warning module 32 does not generate the wind speed value to the warning transmission module 34;

the warning transmission module 34 is used for receiving the data transmitted by the wind direction determination module 33 and the wind speed warning module 32, and transmitting the received data to the image acquisition unit 2 and the data analysis unit 4;

the data analysis unit 4 is used for receiving the wind speed acquired by the wind speed detection unit 3 and the image shot by the image acquisition unit 2, and judging the swing condition of the wire according to the wind speed and the position of the wire;

the data analysis unit 4 includes a line-swing checking module 41 and a data storage module 42;

the line swing checking module 41 is configured to receive data transmitted by the wind speed detection unit 3 and the image acquisition unit 2, and determine whether the swing of the wire is normal according to the data transmitted by the image acquisition unit 2 and the wind speed detection unit 3;

the method for judging whether the wire swinging is normal by the wire swinging checking module 41 is as follows:

1) when the swinging direction of the wire is the same as the wind direction and the swinging range of the wire is fixed, the wire swings normally;

2) when the lead shakes left and right, but the falling arc of the lead faces downwards, the data analysis unit 4 sends out warning information to the management end through the data feedback unit 5;

3) when the wire is irregularly waved, the swinging position of the wire is messy, and the falling arc of the wire is upward or obliquely upward, the wire enters the waving state, and the data analysis unit 4 generates emergency information to the management pipe through the data feedback unit 5

The data storage module 42 is configured to store the result checked by the line pendulum checking module 41 and the data received by the line pendulum checking module 41, copy the result and send the copy to the data feedback unit 5;

the data feedback unit 5 is used for sending out the swinging condition of the wire so as to inform the outside when the wire is in the waving condition, and the outside carries out first-aid repair or first-aid repair on the wire at the place;

the control and regulation unit 6 is used for controlling the swinging lead wire so as to reduce the swinging amplitude of the lead wire, protect the lead wire and enable the lead wire to be normally used.

The control and regulation unit 6 comprises a wire body protection module 61 and a positioning module 62;

the wire body protection module 61 is used for moving on the lead, increasing the balance weight of the lead and reducing the shaking amplitude of the lead;

the positioning module 62 is configured to position the moving wire body protection module 61, and the image capturing unit 2 continuously captures an image of the wire during the movement of the wire body protection module 61.

In the embodiment, when the wind speed received by the wind speed warning module 32 reaches the warning value specified in the wind speed warning module 32, the wind speed warning module 32 sends a signal to the warning transmission module 34 and the image capturing module 21, the wind direction determining module 33 sends the detected wind direction information to the warning transmission module 34, the warning transmission module 34 transmits the received information to the line and sway checking module 41, the image capturing module 21 captures the conducting wire after receiving the information sent by the wind speed warning module 32, and analyzes, compares and judges the captured picture through the comparison module 23, generates the picture information of the swing angle specified by the conducting wire swing exceeding limit setting module 22 into the image limit transmission module 24, and transmits the information to the line and sway checking module 41 through the image limit transmission module 24, and the line and sway checking module 41 determines the swing condition of the conducting wire according to the wind direction and the swing angle of the conducting wire, when the wire generates the conditions of large swing and galloping, the data feedback unit 5 sends warning information to the management end, so that personnel at the management end can know the condition of the wire swing, and when the wire is broken at the later stage, the position where the wire swing gives a warning is subjected to key investigation, and the speed of conducting wire investigation is accelerated.

The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.

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