CN112598865B - Monitoring method and system for preventing cable line from being damaged by external force - Google Patents
Monitoring method and system for preventing cable line from being damaged by external force Download PDFInfo
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Abstract
The invention discloses a monitoring method and a system for preventing cable lines from being damaged by external force, wherein the method comprises the following steps: acquiring a thermal imaging image of a target area by adopting a thermal imaging detector; judging whether a foreign object enters a target area or not according to the thermal imaging image; when judging that a foreign object enters a target area and judging that the image area of a non-living body in the foreign object exceeds a set threshold value, starting a camera device to acquire a real-time video of the foreign object; and carrying out image recognition on the foreign object in the video frame, and sending first alarm information when the foreign object is judged to comprise the engineering mechanical equipment. The thermal imaging technology overcomes the problems of insufficient light and interference of rain and fog weather, the thermal imaging detector does not emit any type of radiation, the power consumption is low, and the video monitoring is started only when a specific target object is detected, so that continuous video monitoring and a large amount of image processing calculation are not needed. Moreover, the thermal imaging judgment does not need to specifically identify the foreign objects, so that the calculation amount of the system is greatly reduced.
Description
Technical Field
The invention belongs to the technical field of cable line monitoring, and particularly relates to a monitoring method and a monitoring system for preventing cable lines from being damaged by external force.
Background
The invention mainly aims at the protected cable facilities in key and non-living areas, and once the cable facilities are subjected to external force damage behaviors such as digging and stealing, illegal operation of engineering machinery and the like, tripping faults can be caused, and inconvenience is brought to production and life.
The measures for preventing external force damage adopted at present mainly comprise: (1) The staff regularly patrols the line, patrols the transmission line periphery, encloses and draws the guard area scope, hangs safety warning and marks tablet etc.. The mode has the defects of large personnel demand, high labor cost and unsupervised in-place personnel; (2) Erecting a network camera, staring at a plurality of monitoring windows of a monitoring center by a worker in a large amount of time, and analyzing video data; the method also needs to consume a large amount of manpower, is influenced by weak light at night, needs additional supplementary lighting for the camera, consumes batteries, and wastes a large amount of resources due to the fact that the probability of external force damage events is small, and a large amount of useless video junk files are generated due to long-time continuous video monitoring and system operation.
Disclosure of Invention
The technical problem to be solved by the embodiments of the present invention is to provide a monitoring method for preventing a cable line from being damaged by an external force, so as to solve the problems that the prior art is interfered by insufficient light and rain and fog weather, and a large amount of resources are wasted by continuous video monitoring and a large amount of image processing and calculation.
In order to solve the above technical problem, the present invention provides a monitoring method for preventing external force damage to a cable line, comprising:
the method comprises the following steps of S1, detecting a target area paved with a cable line in real time by adopting a thermal imaging detector, and acquiring a thermal imaging image of the target area;
s2, judging whether a foreign object enters the target area or not according to the thermal imaging image;
s3, when judging that a foreign object enters the target area and judging that the image area of the non-living body in the foreign object exceeds a set threshold value, starting a camera device to acquire a real-time video of the foreign object;
and S4, reading a video frame of the real-time video, carrying out image recognition on a foreign object in the video frame, and sending first warning information when the foreign object is judged to comprise the engineering mechanical equipment.
Further, the first warning information includes front-end warning information and rear-end reminding information.
Further, the step S3 further includes:
and when judging that a foreign object enters the target area and judging that the image area of the non-living body in the foreign object is smaller than a set threshold value, sending out second alarm information.
Further, in step S4, performing image recognition on the foreign object in the video frame specifically includes:
preprocessing the video frame;
extracting the characteristics of the preprocessed image;
and classifying the extracted features, identifying and classifying, and outputting an image result.
Further, the preprocessing the video frame specifically includes: graying a color image, binaryzation of a grayscale image, image enhancement, image denoising and image segmentation.
A cable run external damage prevention monitoring system comprising:
the thermal imaging detector is used for detecting a target area paved with a cable line in real time and acquiring a thermal imaging image of the target area;
the judging unit is used for judging whether foreign objects enter the target area or not according to the thermal imaging image; when the fact that a foreign object enters the target area is judged, and the fact that the image area of the non-living body in the foreign object exceeds a set threshold value is judged, starting a camera device;
the camera device is used for acquiring a real-time video of the foreign object after being started;
and the warning unit is used for reading the video frame of the real-time video, carrying out image recognition on the foreign object in the video frame, and sending first warning information when the foreign object is judged to comprise the engineering mechanical equipment.
Further, the first warning information includes front-end warning information and rear-end reminding information.
Further, the alarm unit is further configured to: and sending second alarm information when judging that a foreign object enters the target area and judging that the image area of the non-living body in the foreign object is smaller than a set threshold value.
Further, the alarm unit includes an image recognition unit, and the image recognition unit specifically includes:
the image preprocessing unit is used for preprocessing the video frame;
the characteristic extraction unit is used for extracting the characteristics of the preprocessed image;
and the classification and identification unit is used for classifying the extracted features, identifying and classifying the features and outputting an image result.
Further, the preprocessing the video frame specifically includes: graying a color image, binarizing a gray image, enhancing the image, denoising the image and segmenting the image.
The embodiment of the invention has the following beneficial effects: the invention overcomes the problems of insufficient light and rain and fog weather interference in the prior art by means of a thermal imaging technology and depending on infrared specific waveband signals for detecting the thermal radiation of an object. In addition, in the thermal imaging judgment process, the area of the foreign object is calculated to perform the first-step judgment, and the specific shape of the foreign object is not required to be identified or the foreign object is not required to be specifically identified, so that the calculation amount of the system is greatly reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a monitoring method for preventing external force damage of a cable line according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments refers to the accompanying drawings, which are included to illustrate specific embodiments in which the invention may be practiced.
Referring to fig. 1, an embodiment of the present invention provides a method for monitoring a cable line to prevent external damage, including:
the method comprises the following steps of S1, detecting a target area paved with a cable line in real time by adopting a thermal imaging detector, and acquiring a thermal imaging image of the target area.
The thermal imaging belongs to a passive infrared night vision technology, depends on an infrared specific waveband signal for detecting the thermal radiation of an object, is particularly suitable for target detection, can detect the moving object of hundreds of meters or even kilometers in an environment with almost zero light rays, has a long detection distance and is not influenced by light rays and rain and fog weather; the detector does not emit any type of radiation, and the device has low power consumption and low price. Therefore, in the process of detecting the target area in real time, compared with video monitoring, the resource consumption is remarkably reduced.
And S2, judging whether a foreign object enters the target area according to the thermal imaging image.
The thermal imaging detector can accurately detect the outline of the foreign object entering the target area, the presented color is different according to different temperatures, the higher the temperature is, the red color is, and the lower the temperature is, the color is biased to the blue color. The foreign objects can be distinguished according to different colors. Generally, life objects such as people, birds or other animals have dark thermal infrared images, and non-life objects such as engineering machinery vehicles such as excavators, cranes or bulldozers, and working implements have light colors. When a new color region appears in the background image, it can be determined that a foreign object enters the target region, and in general, a darker region represents a living body and a lighter region represents a non-living body.
And S3, when judging that a foreign object enters the target area and judging that the image area of the non-living body in the foreign object exceeds a set threshold value, starting a camera device to acquire a real-time video of the foreign object.
The application scenarios of the present invention may include: (1) An operator drives an engineering mechanical vehicle to enter a target area, and excavation operation is carried out in a violation mode, or a common driver drives a car to temporarily pass through; (2) illegal people carry an appliance at night to dig and steal the cable; (3) birds or other small animals temporarily intrude into the target area.
When the situation in the step (1) occurs, the thermal infrared image is mainly the outline of the vehicle, the corresponding color is light, the driver can be detected at certain angles, a darker area appears in the image, but the area is relatively small, so that an area threshold or a percentage threshold of the lighter area in the whole foreign object image area can be preset, and when the image area of the non-living body exceeds the set threshold, the existence of the vehicle entering the target area can be judged. For the cases in (2) and (3), the image area of the inanimate object is very small, another threshold value may be set, and when the image area of the inanimate object is smaller than the threshold value, it is determined that no vehicle enters. The invention carries out the first step judgment by calculating the area of the foreign object (which can be calculated by pixels), and does not need to identify the specific shape of the foreign object or specifically identify the foreign object, thereby greatly reducing the calculation amount of the system.
When the vehicle enters the target area, and preferably, a time threshold value for the vehicle to stay can be further set, and when the stay time exceeds the threshold value, the camera device is started to recognize the vehicle and monitor the action behavior in real time.
And S4, reading a video frame of the real-time video, carrying out image recognition on a foreign object in the video frame, and sending first warning information when the foreign object is judged to comprise the engineering mechanical equipment.
Specifically, a video frame may be taken at a set time interval, for example, 3 seconds, and then image recognition may be performed on the video frame. Because the invention has already been judged once before starting the video monitoring, the video is all useful resources, there is not invalid monitoring video clip. Image recognition also does not require screening of video frames. The image recognition may be performed as follows.
(1) And (5) image preprocessing.
Through preprocessing, meaningless information for recognition in the image can be effectively reduced, noise in the image is eliminated as much as possible, and therefore a high recognition rate is guaranteed. The preprocessing can generally achieve the purpose requirement in the image segmentation process by firstly carrying out gray level processing on the color image and then sequentially carrying out binarization, enhancement and denoising on the gray level image. The method comprises the following specific steps:
since a color image includes much more data than a monochrome image, the color image is first subjected to gradation. Different color spaces have different color models, and commonly used color spaces are RGB, CMYK, lab, etc., wherein the color space of RGB is used more than others. Each color in the RGB color space is composed of three color components R, G, B, and the color image in the space is grayed, that is, the three color components are subjected to a suitable weighted average, so as to obtain a final gray value. The purpose of the binarization of the gray-scale image is to reassign various gray-scale values of each pixel point in the image, and the result of reassignment is 0 or 255. If 0, the mark is background; if 255, the target is marked. Thus, one image is composed of the object and the background, the contained data volume is greatly reduced, and the time required by subsequent image recognition is reduced. The image enhancement is a processing technology for acquiring images which are valuable for specific applications or are more acceptable to human visual response and machine processing by using a relevant method with the purposes of highlighting meaningful information in the images and reducing or even eliminating redundant information. Image enhancement does not consist in adding more data volume, mainly in that meaningful features are more easily highlighted. There are some correlations and some irrelevances between noise and image signals, but whatever the relationship, the presence of noise is unavoidable. Therefore, in order to better complete image recognition, denoising is a necessary one-step operation process, image denoising is filtering, the selection of the filtering method needs to consider the actual noise category, and the image subjected to denoising needs to keep the reality degree of the original image. Image segmentation is a very important process in an image processing process, and aims to divide an image according to required attributes according to the size of a set region so as to acquire 'interesting' contents of image recognition.
(2) And performing feature extraction on the preprocessed image.
The feature is obvious distinguishing embodiment between different objects, and the image feature characterizes the distinguishing of each part in the image from other parts. The image features can distinguish different targets, so that the image features are required to meet the distinguishing capability of the range in which the image features are located and ensure good response to noise. The image features are classified from different spaces where the image is processed before and after, and can be divided into low-level features (namely basic features) and high-level features (namely semantic features). The characteristic extraction is to find out the unique characteristic from the image to be matched so as to complete the matching with the template image. The purpose of the underlying feature extraction is generally to provide information for higher level analysis. High-level feature extraction involves finding shapes and objects in computer images. The feature extraction can be carried out by selecting different features
(3) And classifying the extracted features, identifying and classifying, and outputting a result.
Image classification is the process of categorizing class labels into a set of metrics. In essence, it is the core of pattern recognition. When the images are identified and classified, different classifiers are adopted according to specific conditions, and the accuracy of image classification can be guaranteed only by one proper classifier. The classification methods commonly used include statistical methods and structural methods, the former being more common. And after classification, identifying the classification information and outputting an image identification result. And when the engineering mechanical equipment is identified, sending first alarm information.
The first warning information may include front-end warning information and back-end reminding information. The front-end warning information can be acousto-optic warning information and is used for on-site warning, and the rear-end warning information can remind corresponding managers through text messages.
Further, when it is judged that a foreign object enters the target area and the image area of the non-living body in the foreign object is smaller than a set threshold value, second warning information is sent out. For the application scenario (2), the warning information may be sound and light information to warn illegal persons, and simultaneously, a warning signal is sent out. For the application scenario in (3), the warning message may be ultrasonic waves, and the ultrasonic waves are used to drive the intruding animal.
Correspondingly, the first embodiment of the present invention provides a monitoring method for preventing external damage to a cable line, and the second embodiment of the present invention further provides a monitoring system for preventing external damage to a cable line, including:
the thermal imaging detector is used for detecting a target area paved with a cable line in real time and acquiring a thermal imaging image of the target area;
the judging unit is used for judging whether foreign objects enter the target area or not according to the thermal imaging image; when the fact that a foreign object enters the target area is judged, and the fact that the image area of the non-living body in the foreign object exceeds a set threshold value is judged, starting a camera device;
the camera device is used for acquiring a real-time video of the foreign object after being started;
and the warning unit is used for reading the video frame of the real-time video, carrying out image recognition on the foreign object in the video frame, and sending first warning information when the foreign object is judged to comprise the engineering mechanical equipment.
Further, the first warning information includes front-end warning information and rear-end reminding information.
Further, the alarm unit is further configured to: and sending second alarm information when judging that a foreign object enters the target area and judging that the image area of the non-living body in the foreign object is smaller than a set threshold value.
Further, the alarm unit includes an image recognition unit, and the image recognition unit specifically includes:
the image preprocessing unit is used for preprocessing the video frame;
the characteristic extraction unit is used for extracting the characteristics of the preprocessed image;
and the classification and identification unit is used for classifying the extracted features, identifying and classifying the features and outputting an image result.
For the working principle and process of the monitoring system for preventing the cable line from being damaged by external force in this embodiment, reference is made to the description of the first embodiment of the present invention, which is not described herein again.
As can be seen from the above description, compared with the prior art, the beneficial effects of the present invention are: the invention overcomes the problems of insufficient light and rain and fog weather interference in the prior art by means of a thermal imaging technology and depending on infrared specific waveband signals for detecting the thermal radiation of an object. In addition, in the thermal imaging judgment process, the area of the foreign object is calculated to perform the first-step judgment, and the specific shape of the foreign object is not required to be identified or the foreign object is not required to be specifically identified, so that the calculation amount of the system is greatly reduced.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (8)
1. A monitoring method for preventing cable lines from being damaged by external force is characterized by comprising the following steps:
the method comprises the following steps of S1, detecting a target area paved with a cable line in real time by adopting a thermal imaging detector, and acquiring a thermal imaging image of the target area;
s2, judging whether a foreign object enters the target area or not according to the thermal imaging image;
s3, when judging that a foreign object enters the target area and judging that the image area of the non-living body in the foreign object exceeds a set threshold value, starting a camera device to acquire a real-time video of the foreign object; when judging that a foreign object enters the target area and judging that the image area of the non-living body in the foreign object is smaller than a set threshold value, sending out second alarm information;
and S4, reading a video frame of the real-time video, carrying out image recognition on a foreign object in the video frame, and sending first warning information when the foreign object is judged to comprise the engineering mechanical equipment.
2. The monitoring method according to claim 1, wherein the first warning message includes a front-end warning message and a back-end reminding message.
3. The monitoring method according to claim 1, wherein in the step S4, the image recognition of the foreign object in the video frame specifically includes:
preprocessing the video frame;
extracting the characteristics of the preprocessed image;
and classifying the extracted features, identifying and classifying, and outputting an image result.
4. The monitoring method according to claim 3, wherein the preprocessing the video frame specifically includes: graying a color image, binarizing a gray image, enhancing the image, denoising the image and segmenting the image.
5. The utility model provides a cable run prevents monitoring system of external force destruction which characterized in that includes:
the thermal imaging detector is used for detecting a target area paved with a cable line in real time and acquiring a thermal imaging image of the target area;
the judging unit is used for judging whether foreign objects enter the target area or not according to the thermal imaging image; when the fact that a foreign object enters the target area is judged, and the fact that the image area of the non-living body in the foreign object exceeds a set threshold value is judged, starting a camera device;
the camera device is used for acquiring a real-time video of the foreign object after being started;
the warning unit is used for reading a video frame of the real-time video, carrying out image recognition on a foreign object in the video frame, and sending first warning information when the foreign object is judged to comprise engineering mechanical equipment; and the second warning information is sent out when the foreign object is judged to enter the target area and the image area of the non-living body in the foreign object is judged to be smaller than a set threshold value.
6. The monitoring system of claim 5, wherein the first warning message includes a front-end warning message and a back-end alert message.
7. The monitoring system according to claim 5, wherein the alarm unit includes an image recognition unit, the image recognition unit specifically including:
the image preprocessing unit is used for preprocessing the video frame;
the characteristic extraction unit is used for extracting the characteristics of the preprocessed image;
and the classification and identification unit is used for classifying the extracted features, identifying and classifying the features and outputting an image result.
8. The monitoring system according to claim 7, wherein the preprocessing the video frame specifically includes: graying a color image, binaryzation of a grayscale image, image enhancement, image denoising and image segmentation.
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| CN113810660A (en) * | 2021-08-25 | 2021-12-17 | 深圳市恺恩科技有限公司 | External damage prevention detection device for power transmission line and tower with same |
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