CN117676086A - Power transmission channel alarm system and method based on image recognition - Google Patents
Power transmission channel alarm system and method based on image recognition Download PDFInfo
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Abstract
The invention belongs to the technical field of power communication, and particularly discloses a power transmission channel alarm system and a method based on image recognition, wherein when a microwave detector monitors that a person or a machine approaches, a video monitoring module respectively collects images, and a communication module transmits visible light images to a background system for recording and storing and processing the images; after image processing, obtaining a target image to be identified, and inputting the target image to a microprocessor to output an image identification result; the lamplight output module flashes to alarm, and the voice module plays a corresponding voice alarm according to the image recognition result; the microprocessor transmits a corresponding alarm signal to the background through the communication module according to the image recognition result; the method has the advantages of long coverage, stronger anti-interference capability, stable and reliable detection result and the like; unsafe behavior in the range of the transmission channel can be detected, monitored and identified, and an alarm signal is sent to the background, so that personal safety and equipment safety are effectively ensured.
Description
Technical Field
The invention belongs to the technical field of power communication, and particularly relates to a power transmission channel alarm system and method based on image recognition.
Background
Reliable and stable power supply is a fundamental guarantee for social development. With the continuous development of society and economy, people also put higher demands on the safety and stability of the power grid. The transmission of electricity is one of five links of an electric power system, plays an important role in transporting electric energy, and is a 'skeleton' of the system. Ensuring the safety of the transmission line plays a significant role in maintaining the safe operation of the whole power grid, and is widely focused on society.
In order to facilitate heat dissipation and reduce the weight of the wires, the high-voltage transmission lines all adopt bare wires, the insulativity of the bare wires is generally poor, and enough safety distance must be ensured, otherwise, electric shock or power failure accidents are easily caused, and casualties and economic losses are caused. However, with the continuous expansion of the power grid scale, the power transmission lines are widely established, more and more power transmission lines are erected at places such as parks, roads, river channels and the like, and the power transmission channels are close to the resident active areas. Many unsafe behaviors in the transmission channel, such as large-scale mechanical operation, fishing, kite playing and other activities, threaten the safety of a power grid and a person at any moment, and the surrounding environment of the transmission line has become one of the most important factors for threatening the safety of the line. For unsafe behaviors frequently occurring in a power transmission channel in recent years, investigation shows that most of people do not know the safe distance of the power transmission channel, and the potential risk of the behaviors cannot be realized. In addition, there are some people still holding the mind and choosing the collar to walk in danger under the condition that the danger is known.
Currently, in order to cope with various external force accidents occurring in a high-voltage transmission channel, a method of setting up a warning sign to remind and installing an anti-external force camera on the transmission channel to monitor is generally adopted in various places. The warning sign area is big, and the warning effect is limited, especially is difficult to play the warning effect evening. The anti-external force camera can only provide functions such as video capturing, storing and replaying, does not have analysis and judgment capabilities, and in order to prevent dangerous behaviors in time, operation and maintenance personnel are required to monitor continuously for 24 hours, so that efficiency and reliability are good.
Disclosure of Invention
The invention aims to provide a power transmission channel alarm system and method based on image recognition, which are used for solving the problems of limited alarm effect, poor reliability and low efficiency when unsafe behaviors are warned in a power transmission channel.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect of the present invention, there is provided an image recognition-based power transmission channel alarm system, including:
the system comprises a frame module, an energy supply module, a monitoring module and a warning module;
the frame module comprises a fixed rod and an installing box; the mounting box is arranged at the upper part of the fixed rod;
the energy supply module is arranged based on the frame module;
the monitoring module comprises a microwave detector and a video monitoring module, and the warning module comprises a communication module, a voice module, a lamplight output module and a microprocessor;
the outside of the installation box is provided with a microwave detector, a lamplight output module, a voice module and a part of modules of the video monitoring module; the microprocessor, the other part of the video monitoring module and the communication module are arranged inside the mounting box.
Further, the energy supply module comprises a solar cell panel and an electric storage device, wherein the solar cell panel is positioned at the top of the fixed rod, and the electric energy output end of the solar cell panel is connected with the electric storage device; the electric power storage device is arranged inside the mounting box, and the electric power output end of the electric power storage device is respectively connected with the microprocessor, the microwave detector, the video monitoring module, the communication module, the voice module and the light output module.
Further, the video monitoring module comprises an image acquisition module and an image processing module, wherein the image acquisition module comprises an infrared camera and a visible light camera, and the image processing module comprises an image calibration module, a binary processing module, a corrosion processing module and an external rectangular processing module; the image processing module of the video monitoring module is arranged inside the installation box, and the image acquisition module of the video monitoring module is arranged outside the installation box.
Further, the communication module is used for being in communication connection with a background system.
Further, the voice module comprises an audio storage module and an audio playing module, wherein the audio storage module is used for storing pre-recorded warning sounds, and the audio playing module is used for playing the warning sounds or playing the voices of background personnel.
Furthermore, the light output module adopts a flash alarm for light warning.
Further, the microprocessor comprises an image recognition module for recognizing the image processed by the video monitoring module and outputting an alarm target.
The second aspect of the present invention provides an image recognition-based power transmission channel alarm method, which is characterized in that the image recognition-based power transmission channel alarm system comprises:
the microwave detector detects and sends the electric signal to the microprocessor, and the microprocessor activates the video monitoring module;
the video monitoring module collects images, transmits the on-site visible light images to the background system through the communication module, records and stores the images, and processes the images;
the video monitoring module transmits the processed image to the microprocessor, and the image recognition result is output after the processing of the microprocessor;
the lamplight output module flashes to alarm, and the voice module plays a corresponding voice alarm according to the image recognition result; and the microprocessor transmits the corresponding alarm signal to the background through the communication module according to the image recognition result.
Further, the video monitoring module collects images, transmits the on-site visible light images to the background system through the communication module, records and stores the images, and processes the images specifically including:
an infrared camera and a visible light camera are used for collecting infrared images and visible light images near the power transmission channel;
and processing the image by an image processing module to obtain the target image to be identified.
Further, the processing the image specifically includes:
the corresponding relation between the pixel points of the infrared image and the visible light image is marked;
the infrared image is subjected to binarization processing, the whole image shows the visual effect of only black and white, and a binarization image is obtained, wherein the binarization formula is as follows:
wherein Y is g (x, y) is the pixel value of the original image; b (x, y) is the pixel value of the binary image, T is the threshold value, and is used for controlling the binarization of the pixel;
performing corrosion treatment on the binarized image in a corrosion treatment module to eliminate isolated points and obtain a corroded image;
calculating the external rectangles of the corroded image, converting each external rectangle into a visible light image according to the corresponding relation between the calibrated infrared image and the pixel point of the visible light image, confirming the corresponding position of each external rectangle in the visible light image, calculating the external rectangles R of the corroded image, and aiming at each external rectangle R i Take the upper left corner coordinate P L And lower right angular position P R And converting the pixel point corresponding relation parameters of the infrared image and the visible light image into the visible light image to obtain the corresponding position of the infrared image in the visible light image.
The beneficial effects of the invention are as follows:
1. when the microwave detector detects that a person or a machine approaches, the video monitoring module respectively collects images, and the communication module transmits the visible light images to the background system for recording and storing and processing the images; after the image calibration, binarization and other treatments, obtaining a target image to be identified, and inputting the target image to a microprocessor to output an image identification result; the lamplight output module flashes to alarm, and the voice module plays a corresponding voice alarm according to the image recognition result; the microprocessor transmits a corresponding alarm signal to the background through the communication module according to the image recognition result; the method has the advantages of long coverage, stronger anti-interference capability, stable and reliable detection result and the like; unsafe behavior in the range of the transmission channel can be detected, monitored and identified, and an alarm signal is sent to the background, so that personal safety and equipment safety are effectively ensured.
2. The convolutional neural network algorithm adopted by the invention is a feedforward neural network algorithm with stable effect and excellent performance, the acquired image is trained, and the accuracy of target identification is improved by utilizing the characteristic of error feedback.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a transmission channel alarm system based on image recognition;
FIG. 2 is a schematic flow chart of a power transmission channel alarm method based on image recognition;
FIG. 3 is a schematic diagram of a process flow of the image processing module;
FIG. 4 is a flow chart of a microprocessor.
Reference numerals: 1. a solar cell panel; 2. a mounting box; 3. an electric storage device; 4. a microprocessor; 5. a microwave detector; 6. a video monitoring module; 7. a communication module; 8. a light output module; 9. a voice module;
Detailed Description
The invention will be described in detail below with reference to the drawings in connection with embodiments. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.
The following detailed description is exemplary and is intended to provide further details of the invention. Unless defined otherwise, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the invention.
Example 1
As shown in fig. 1, an image recognition-based power transmission channel alarm system includes:
the system comprises a frame module, an energy supply module, a monitoring module and a warning module;
the frame module comprises a fixed rod and an installing box; the installation box 2 is arranged at the upper part of the fixed rod, and the solar panel 1, the microwave detector 5, the light output module 8, the voice module 9 and the image acquisition module of the video monitoring module 6 are arranged outside the installation box 2; the power storage device 3, the microprocessor 4, the image processing module of the video monitoring module 6 and the communication module 7 are arranged in the mounting box 2 for protection, and the outside cannot be contacted, so that the components of the device are protected from external damage.
The energy supply module, the monitoring module and the warning module are arranged based on the frame module, and the energy supply module is used for providing electric quantity for the monitoring module and the warning module;
the energy supply module comprises a solar panel 1 and an electric storage device 3; the solar cell panel 1 is positioned at the top of the fixed rod, and the electric energy output end of the solar cell panel 1 is connected with the electric power storage device 3; the electric energy output end of the electric power storage device 3 is respectively connected with the microprocessor 4, the microwave detector 5, the video monitoring module 6, the communication module 7, the voice module 9 and the lamplight output module 8.
The monitoring module comprises a microwave detector 5 and a video monitoring module 6; the microwave detector 5 adopts the Doppler effect to detect the target, and has the advantages of stability, reliability, strong anti-interference capability and large coverage area; the video monitoring module 6 comprises an image acquisition module and an image processing module, wherein the image acquisition module comprises an infrared camera and a visible light camera, and the image processing module comprises an image calibration module, a binary processing module, a corrosion processing module and an external rectangular processing module.
The warning module comprises a communication module 7, a voice module 9, a light output module 8 and a microprocessor 4; the communication module 7 is used for communication connection with a background system; the voice module 9 comprises an audio storage module and an audio playing module, the audio storage module adopts a USB flash disk with a USB interface, prerecorded warning sounds are stored in the audio storage module, and the audio playing module adopts a power amplifier loudspeaker, so that the warning sounds can be played, and background personnel voices can also be played; the light output module 8 adopts a flash alarm for light warning; the microprocessor 4 comprises an image recognition module and the like, is a model trained by a convolutional neural network algorithm, can recognize images processed by the video monitoring module, and outputs an alarm target.
Example 2
As shown in fig. 2, the invention further provides a power transmission channel alarm method based on image recognition, which comprises the following steps:
s1: when a person or a machine is in the warning range, the microwave detector 5 detects, the microwave detector 5 sends an electric signal to the microprocessor 4, and the microprocessor 4 activates the video monitoring module 6.
The microwave detector 5 sends out a microwave signal, and when detecting that a person or a machine is present, the microwave detector returns a signal to the microprocessor;
s2: the image acquisition module in the video monitoring module 6 collects images, the on-site visible light images are transmitted to the background system through the communication module 7 to be recorded and stored, and background personnel can monitor in real time; at the same time, the image is input to an image processing module for processing. The specific flow is shown in fig. 3:
s21: the method comprises the steps of collecting images, namely collecting infrared images and visible light images near a power transmission channel through an infrared camera and a visible light camera;
s22: image processing, namely processing the image through an image processing module to obtain a target image to be identified;
the step S22 specifically includes the following steps:
s221: image calibration is carried out in an image calibration module: and (5) marking the corresponding relation between the pixel points of the infrared image and the visible light image.
S222: and performing binarization processing on the calibrated image in a binarization processing module: and carrying out binarization processing on the infrared image, and displaying the whole image with the visual effect of only black and white to obtain a binarized image. The binarization formula is as follows:
wherein Y is g (x, y) is the pixel value of the original image; b (x, y) is the pixel value of the binary image, T is the threshold value, and is used for controlling the binarization of the pixel; when the pixel value is greater than or equal to the threshold T, the pixel is set to 1, i.e., white; when the pixel value is less than the threshold T, the pixel is set to 0, i.e. black.
S223: and performing corrosion treatment on the binarized image in a corrosion treatment module, eliminating isolated points, and obtaining a corroded image.
S224: performing circumscribed rectangle processing in a circumscribed matrix processing module: and calculating the circumscribed rectangles of the corroded image, converting each circumscribed rectangle into a visible light image according to the corresponding relation of the step S221, and confirming the corresponding position of each circumscribed rectangle in the visible light image. Calculating the circumscribed rectangle R of the image obtained in the step S223, aiming at each circumscribed rectangle R i Take the upper left corner coordinate P L And lower right angular position P R And converting the corresponding relation parameters in the step S221 into visible light images to obtain corresponding positions of the infrared images in the visible light images.
S3: the video monitoring module 6 transmits the processed image to the microprocessor 4, and the image recognition result is output after the processed image is processed by the image recognition module of the microprocessor 4. The specific flow is shown in fig. 4.
Step S3 comprises 5 sub-steps, specifically as follows:
s31: and establishing a training sample and a test sample, normalizing the training sample and the test sample to obtain normalized image characteristics, and inputting the training sample into the normalized image characteristics through an input layer.
S32: and carrying out convolution operation on the image features through the convolution layer.
The operation formula for carrying out convolution operation on the image features is as follows:
wherein: f (F) j (N) is the jth feature of the nth layer; f (x) is an activation function; delta j (N) is bias; f (F) i (N-1) is the jth feature of the N-1 th layer; k (K) j A j-th feature map of the channel K; n is the number of layers of the neural network; o (O) i,j (N) is a convolution kernel.
S33: features are reduced and dimension reduced by the pooling layer.
S34: and all the image features are connected through a full connection layer, input into a classifier and calculate the scoring condition of each category. The classifier expression is:
wherein: y is Y i The probability of the class i is output value of 0-1; mu (mu) j The j-th characteristic value is input; n is the number of features.
S35: calculating an error between the output layer and the expected output layer through the output of the corresponding type, judging whether the error is smaller than a threshold value, and reversely propagating when the error is smaller than the threshold value, adjusting CNN parameters and re-inputting the CNN parameters to the input layer; outputting an image recognition model when the image recognition model is larger than a threshold value;
and inputting the normalized image features of the test sample into an image recognition model to complete image recognition and obtain an image recognition result.
S4: the lamplight output module 8 flashes to alarm, and the voice module 9 plays a corresponding voice alarm according to the image recognition result; when the personnel stay in the warning range continuously for a set time, the microprocessor 4 can transmit the corresponding alarm signal to the background through the communication module 7 according to the image recognition result, and the background can also carry out voice through the communication system 7 and the site.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (10)
1. An image recognition-based power transmission channel alarm system, comprising:
the system comprises a frame module, an energy supply module, a monitoring module and a warning module;
the frame module comprises a fixed rod and a mounting box (2); the mounting box (2) is arranged at the upper part of the fixed rod;
the energy supply module is arranged based on the frame module;
the monitoring module comprises a microwave detector (5) and a video monitoring module (6), and the warning module comprises a communication module (7), a voice module (9), a lamplight output module (8) and a microprocessor (4);
the outside of the mounting box (2) is provided with a microwave detector (5), a lamplight output module (8), a voice module (9) and a part of modules of the video monitoring module (6); the microprocessor (4), the other part of the video monitoring module (6) and the communication module (7) are arranged inside the installation box (2).
2. The power transmission channel alarm system based on image recognition according to claim 1, wherein the energy supply module comprises a solar panel (1) and an electric storage device (3), the solar panel (1) is positioned at the top of the fixed rod, and an electric energy output end of the solar panel (1) is connected with the electric storage device (3); the electric power storage device (3) is arranged inside the mounting box (2), and the electric power output end of the electric power storage device (3) is respectively connected with the microprocessor (4), the microwave detector (5), the video monitoring module (6), the communication module (7), the voice module (9) and the lamplight output module (8).
3. The power transmission channel alarm system based on image recognition according to claim 1, wherein the video monitoring module (6) comprises an image acquisition module and an image processing module, the image acquisition module comprises an infrared camera and a visible light camera, and the image processing module comprises an image calibration module, a binary processing module, a corrosion processing module and an external rectangular processing module; the image processing module of the video monitoring module (6) is arranged inside the installation box, and the image acquisition module of the video monitoring module (6) is arranged outside the installation box (2).
4. The power transmission channel alarm system based on image recognition according to claim 1, wherein the communication module (7) is used for communication connection with a background system.
5. The power transmission channel alarm system based on image recognition according to claim 1, wherein the voice module (9) comprises an audio storage module and an audio playing module, the audio storage module is used for storing pre-recorded warning sounds, and the audio playing module is used for playing the warning sounds or playing background personnel voices.
6. The power transmission channel alarm system based on image recognition according to claim 1, wherein the light output module (8) adopts a flash alarm for light warning.
7. A transmission channel alarm system based on image recognition according to claim 3, characterized in that the microprocessor (4) comprises an image recognition module for recognizing the image processed by the video monitoring module (6) and outputting an alarm target.
8. An image recognition-based power transmission channel alarm method, characterized in that an image recognition-based power transmission channel alarm system according to any one of claims 1-7 comprises:
the microwave detector (5) detects and sends an electric signal to the microprocessor (4), and the microprocessor (4) activates the video monitoring module (6);
the video monitoring module (6) collects images, transmits the on-site visible light images to the background system through the communication module (7), records and stores the images, and processes the images;
the video monitoring module (6) transmits the processed image to the microprocessor (4), and the image recognition result is output after the image is processed by the microprocessor (4);
the lamplight output module (8) flashes to alarm, and the voice module (9) plays a corresponding voice alarm according to the image recognition result; and the microprocessor (4) transmits the corresponding alarm signal to the background through the communication module (7) according to the image recognition result.
9. The power transmission channel alarming method based on image recognition according to claim 8, wherein the video monitoring module (6) collects images, and transmits the on-site visible light images to a background system through the communication module (7) for recording and storing, and the processing of the images specifically comprises:
an infrared camera and a visible light camera are used for collecting infrared images and visible light images near the power transmission channel;
and processing the image by an image processing module to obtain the target image to be identified.
10. The method for alarming a power transmission channel based on image recognition according to claim 9, wherein the processing the image specifically comprises:
the corresponding relation between the pixel points of the infrared image and the visible light image is marked;
the infrared image is subjected to binarization processing, the whole image shows the visual effect of only black and white, and a binarization image is obtained, wherein the binarization formula is as follows:
wherein Y is g (x, y) is the pixel value of the original image; b (x, y) is the pixel value of the binary image, T is the threshold value, and is used for controlling the binarization of the pixel;
performing corrosion treatment on the binarized image in a corrosion treatment module to eliminate isolated points and obtain a corroded image;
calculating the external rectangles of the corroded image, converting each external rectangle into a visible light image according to the corresponding relation between the calibrated infrared image and the pixel point of the visible light image, confirming the corresponding position of each external rectangle in the visible light image, calculating the external rectangles R of the corroded image, and aiming at each external rectangle R i Take the upper left corner coordinate P L And lower right angular position P R And converting the pixel point corresponding relation parameters of the infrared image and the visible light image into the visible light image to obtain the corresponding position of the infrared image in the visible light image.
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