Digital power grid intelligent patrol system

Abstract

The system comprises a background monitoring terminal, the background monitoring terminal comprises a monitoring host, a monitoring display screen is installed on the front side face of the monitoring host, an alarm is installed at the upper end of the monitoring host, and the monitoring host is connected with a front-end power grid patrol mechanism. The power grid patrol mechanism comprises a three-dimensional image acquisition camera, a three-dimensional image acquisition module, a three-dimensional image enhancement module, a Beidou positioning module, an abnormal image recognition module, a signal transmission module and a processor module, and the three-dimensional image acquisition camera is installed at the bottom end of the patrol unmanned aerial vehicle; the input end of the three-dimensional image acquisition module is connected with the three-dimensional image acquisition camera, and the output end of the three-dimensional image acquisition module is connected with the processor module through the three-dimensional image enhancement module. And the abnormal position is accurately positioned, so that the safety of the power grid is improved.

Description

Technical Field

[0001] The invention relates to the technical field of power grid inspection, and in particular to a digital power grid intelligent inspection system. Background Art

[0002] The construction process of digital power grid is the process of digitization, intelligence and Internetization of traditional power grid. Digital transformation of traditional power grid is carried out, and the corresponding digital twin power grid is constructed in accordance with network security standards and unified power grid data models. Advanced digital technology platforms are used to form a powerful "computing power" with "computing power + data + model + algorithm". Relying on the Internet of Things and the Internet, the perception, analysis, decision-making, business and other links of all parties related to the power grid are connected, so that power grid companies have super perception, wise decision-making and rapid execution capabilities, and the boundaries of digital power grids are extended from traditional power grids to all aspects of society, changing the management, operation and service models of traditional power grids, driving the extensive configuration of energy flow, capital flow, logistics, business flow and talent flow in related industries, and using "electricity + computing power" to promote energy revolution and new energy system construction, help modernize the national economic system, and build a new digital power grid system with intrinsic security.

[0003] When inspecting power grid lines, it is necessary to have a good understanding of the information of power transmission and distribution equipment, power lines and towers in order to better maintain them. However, there are a large number of equipment, lines and towers, and they are widely distributed, and there are also many newly installed ones, which leads to low inspection efficiency. Therefore, it is necessary to design a digital power grid intelligent inspection system. Summary of the invention

[0004] The purpose of the present invention is to provide a digital power grid intelligent patrol system to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a digital power grid intelligent patrol system, including a background monitoring terminal, the background monitoring terminal includes a monitoring host, a monitoring display screen is installed on the front side of the monitoring host, an alarm is installed on the upper end of the monitoring host, the monitoring host is connected to a front-end power grid patrol mechanism, a control circuit board is installed in the monitoring host, the power grid patrol mechanism includes a three-dimensional image acquisition camera and a Beidou positioning module, and the three-dimensional image acquisition camera is installed at the bottom end of a patrol drone.

[0006] Preferably, the present application provides a digital power grid intelligent patrol system, wherein a three-dimensional image acquisition module, a three-dimensional image enhancement module, an abnormal image recognition module, a signal transmission module and a processor module are installed on the control circuit board, the input end of the three-dimensional image acquisition module is connected to a three-dimensional image acquisition camera, the output end of the three-dimensional image acquisition module is connected to the processor module through the three-dimensional image enhancement module, the Beidou positioning module and the abnormal image recognition module are respectively connected to the processor module, and the processor module is connected to the monitoring host through the signal transmission module.

[0007] Preferably, the present application provides a digital power grid intelligent patrol system, wherein the three-dimensional image acquisition module includes an image acquisition unit, an image signal processing unit and an image transmission unit, the image acquisition unit is connected to the image transmission unit via the image signal processing unit, and the three-dimensional image acquisition module is used to acquire high-definition three-dimensional images of power grid lines.

[0008] Preferably, the present application provides a digital power grid intelligent patrol system, wherein the signal transmission module adopts an Internet of Things communication module, and the Internet of Things communication module includes but is not limited to a LORa communication unit, a ZigBee communication unit, a UWB communication unit, a NB communication unit or a Bluetooth communication unit.

[0009] Preferably, the present application provides a digital power grid intelligent patrol system, wherein the use method thereof comprises the following steps:

[0010] A. During the drone's flight inspection, the 3D image acquisition camera collects images of power grid lines in real time and in all directions;

[0011] B. The acquired image is first subjected to feature extraction by the image signal processing unit, and then enhanced by the three-dimensional image enhancement module and transmitted to the processor module;

[0012] C. The processor module analyzes the image signal;

[0013] D. Once an abnormal image is collected, the abnormal image recognition module immediately identifies the abnormal signal, and the Beidou positioning module locates the abnormal position;

[0014] E. The processor module sends the abnormal image and abnormal location to the background monitoring terminal in real time for the technical staff's reference.

[0015] Preferably, the present application provides a digital power grid intelligent patrol system, wherein the image signal processing unit processing method is as follows:

[0016] a. First, grayscale the image edge, then perform threshold processing to obtain a threshold image;

[0017] b. Cluster the pixels in the thresholded image into pixel clusters using the density clustering method;

[0018] c. Perform cluster optimization on the pixel clusters under the constraints of structural knowledge to obtain edge clusters containing edges;

[0019] d. Finally, for the edge cluster, the internal points contained in the edge cluster are removed by using orthogonal bidirectional projection to obtain the image edge extraction result.

[0020] Preferably, in the digital power grid intelligent patrol system provided by the present application, the three-dimensional image enhancement module enhancement method is as follows:

[0021] a. First, perform histogram equalization on the image and then remove background noise;

[0022] b. Then, the image is subjected to noise removal. The noise removal is processed by image interpolation function operation. The function formula is:

[0023] C'=A*T+D*(1-T), where C' represents the output image pixel after denoising, A represents the current image pixel to be processed, T represents the logical balance variable, and D represents the noise smoothing value of the current pixel to be processed.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] (1) The present invention has a simple working principle and a high degree of intelligence. It can realize all-round inspection of the digital power grid, monitor and identify abnormal images of the power grid, and accurately locate the abnormal position, thereby improving the safety of the power grid.

[0026] (2) The image acquisition module used in the present invention can acquire three-dimensional images and extract edge features from the acquired images, thereby improving the accuracy of subsequent image recognition. (3) The image enhancement processing method used in the present invention reduces the global brightness difference of the image.

[0027] The image contrast is enhanced, the noise is effectively suppressed, and the clarity of the three-dimensional image of the power grid is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic diagram of the structure of the present invention;

[0029] Figure 2 This is a control principle block diagram of the present invention;

[0030] Figure 3 This is a principle block diagram of the image acquisition module of the present invention;

[0031] Figure 4 It is the work flow chart of the present invention;

[0032] Figure 5 is a flow chart of the image signal processing method of the present invention;

[0033] In the figure: monitoring host 1, monitoring display screen 2, alarm 3, power grid patrol mechanism 4, three-dimensional image acquisition camera 5, Beidou positioning module 6, three-dimensional image acquisition module 7, three-dimensional image enhancement module 8, abnormal image recognition module 9, signal transmission module 10, processor module 11, image acquisition unit 12, image signal processing unit 13, image transmission unit 14. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] It should be noted that when an element is referred to as being "fixed on" or "set on" another element, it can be directly on the other element or indirectly set on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element.

[0036] It should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0037] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "multiple" and "several" mean two or more, unless otherwise clearly and specifically defined.

[0038] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions that can be implemented in this application, so they have no substantial technical significance. Any modification of the structure, change in the proportional relationship, or adjustment of the size should still fall within the scope of the technical content disclosed in this application without affecting the effects that can be produced by this application and the purposes that can be achieved. At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of narration, and are not used to limit the scope of the implementation of this application. The change or adjustment of their relative relationship should also be regarded as the scope of the implementation of this application without substantial change in the technical content.

[0039] See also Figure 1-5 The present invention provides a technical solution: a digital power grid intelligent patrol system, including a background monitoring terminal, the background monitoring terminal includes a monitoring host 1, a monitoring display screen 2 is installed on the front side of the monitoring host 1, an alarm 3 is installed on the upper end of the monitoring host 1, the monitoring host 1 is connected to a front-end power grid patrol mechanism 4, a control circuit board is installed in the monitoring host 1, the power grid patrol mechanism 4 includes a three-dimensional image acquisition camera 5 and a Beidou positioning module 6, and the three-dimensional image acquisition camera 5 is installed at the bottom end of a patrol drone.

[0040] In the present invention, a digital power grid intelligent patrol system includes a background monitoring terminal, characterized in that: the background monitoring terminal includes a monitoring host 1, a monitoring display screen 2 is installed on the front side of the monitoring host 1, an alarm 3 is installed on the upper end of the monitoring host 1, the monitoring host 1 is connected to a front-end power grid patrol mechanism 4, a control circuit board is installed in the monitoring host 1, the power grid patrol mechanism 4 includes a three-dimensional image acquisition camera 5 and a Beidou positioning module 6, and the three-dimensional image acquisition camera 5 is installed at the bottom end of the patrol drone; the signal transmission module 10 adopts an Internet of Things communication module, and the Internet of Things communication module includes but is not limited to a LORa communication unit, a ZigBee communication unit, a UWB communication unit, a NB communication unit or a Bluetooth communication unit. A three-dimensional image acquisition module 7, a three-dimensional image enhancement module 8, an abnormal image recognition module 9, a signal transmission module 10 and a processor module 11 are installed on the control circuit board. The input end of the three-dimensional image acquisition module 7 is connected to the three-dimensional image acquisition camera 5, and the output end of the three-dimensional image acquisition module 7 is connected to the processor module 11 through the three-dimensional image enhancement module 8. The Beidou positioning module 6 and the abnormal image recognition module 9 are respectively connected to the processor module 11, and the processor module 11 is connected to the monitoring host 1 through the signal transmission module 10.

[0041] The three-dimensional image acquisition module 7 includes an image acquisition unit 12, an image signal processing unit 13 and an image transmission unit 14. The image acquisition unit 12 is connected to the image transmission unit 14 via the image signal processing unit 13. The three-dimensional image acquisition module 7 is used to acquire high-definition three-dimensional images of power grid lines. The image acquisition module used in the present invention can acquire three-dimensional images and extract edge features of the acquired images, thereby improving the accuracy of subsequent image recognition.

[0042] Working principle: The method of using the present invention comprises the following steps:

[0043] A. During the drone's flight inspection, the 3D image acquisition camera collects images of power grid lines in real time and in all directions;

[0044] B. The acquired image is first subjected to feature extraction by the image signal processing unit, and then enhanced by the three-dimensional image enhancement module and transmitted to the processor module;

[0045] C. The processor module analyzes the image signal;

[0046] D. Once an abnormal image is collected, the abnormal image recognition module immediately identifies the abnormal signal, and the Beidou positioning module locates the abnormal position;

[0047] E. The processor module sends the abnormal image and abnormal location to the background monitoring terminal in real time for the technical staff's reference.

[0048] In the present invention, the image signal processing unit processing method is as follows:

[0049] a. First, grayscale the image edge, then perform threshold processing to obtain a threshold image;

[0050] b. Cluster the pixels in the thresholded image into pixel clusters using the density clustering method;

[0051] c. Perform cluster optimization on the pixel clusters under the constraints of structural knowledge to obtain edge clusters containing edges;

[0052] d. Finally, for the edge cluster, the internal points contained in the edge cluster are removed by using orthogonal bidirectional projection to obtain the image edge extraction result.

[0053] In addition, in the present invention, the three-dimensional image enhancement module enhancement method is as follows:

[0054] a. First, perform histogram equalization on the image and then remove background noise;

[0055] b. Then, the image is subjected to noise removal. The noise removal is processed by image interpolation function operation. The function formula is:

[0056] C'=A*T+D*(1-T), where C' represents the output image pixel after denoising, A represents the current image pixel to be processed, T represents the logical balance variable, and D represents the noise smoothing value of the current pixel to be processed.

[0057] The image enhancement processing method adopted by the present invention reduces the global brightness difference of the image, enhances the image contrast, effectively suppresses the noise, and improves the clarity of the three-dimensional image of the power grid.

[0058] In summary, the present invention has a simple working principle and a high degree of intelligence, can realize all-round inspection of the digital power grid, can monitor and identify abnormal images of the power grid, and accurately locate the abnormal position, thereby improving the safety of the power grid.

[0059] The circuits, electronic components and modules involved are all prior art and can be fully implemented by those skilled in the art. Needless to say, the content protected by the present invention does not involve improvements to software and methods.

[0060] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

Claims

1. A digital power grid intelligent patrol system, including a background monitoring terminal, characterized in that: The background monitoring terminal comprises a monitoring host (1), a monitoring display screen (2) is installed on the front side of the monitoring host (1), an alarm (3) is installed on the upper end of the monitoring host (1), the monitoring host (1) is connected to a front-end power grid patrol mechanism (4), a control circuit board is installed in the monitoring host (1), the power grid patrol mechanism (4) comprises a three-dimensional image acquisition camera (5) and a Beidou positioning module (6), and the three-dimensional image acquisition camera (5) is installed at the bottom end of the patrol drone.

2. A digital power grid intelligent patrol system according to claim 1, characterized in that: A three-dimensional image acquisition module (7), a three-dimensional image enhancement module (8), an abnormal image recognition module (9), a signal transmission module (10) and a processor module (11) are installed on the control circuit board; the input end of the three-dimensional image acquisition module (7) is connected to a three-dimensional image acquisition camera (5); the output end of the three-dimensional image acquisition module (7) is connected to the processor module (11) via the three-dimensional image enhancement module (8); the Beidou positioning module (6) and the abnormal image recognition module (9) are respectively connected to the processor module (11); and the processor module (11) is connected to a monitoring host (1) via the signal transmission module (10).

3. A digital power grid intelligent patrol system according to claim 2, characterized in that: The three-dimensional image acquisition module (7) comprises an image acquisition unit (12), an image signal processing unit (13) and an image transmission unit (14); the image acquisition unit (12) is connected to the image transmission unit (14) via the image signal processing unit (13); and the three-dimensional image acquisition module (7) is used to acquire high-definition three-dimensional images of power grid lines.

4. A digital power grid intelligent patrol system according to claim 1, characterized in that: The signal transmission module (10) adopts an Internet of Things communication module, and the Internet of Things communication module includes but is not limited to a LORa communication unit, a ZigBee communication unit, a UWB communication unit, a NB communication unit or a Bluetooth communication unit.

5. A method for using a digital power grid intelligent patrol system according to claim 1, characterized in that: The method of use includes the following steps: A. During the drone's flight inspection, the 3D image acquisition camera collects images of power grid lines in real time and in all directions; B. The acquired image is first subjected to feature extraction by the image signal processing unit, and then enhanced by the three-dimensional image enhancement module and transmitted to the processor module; C. The processor module analyzes the image signal; D. Once an abnormal image is collected, the abnormal image recognition module immediately identifies the abnormal signal, and the Beidou positioning module locates the abnormal position; E. The processor module sends the abnormal image and abnormal location to the background monitoring terminal in real time for the technical staff's reference.

6. The method for using a digital power grid intelligent patrol system according to claim 5 is characterized by: The image signal processing unit processing method is as follows: a. First, grayscale the image edge, then perform threshold processing to obtain a threshold image; b. Cluster the pixels in the thresholded image into pixel clusters using the density clustering method; c. Perform cluster optimization on the pixel clusters under the constraints of structural knowledge to obtain edge clusters containing edges; d. Finally, for the edge cluster, the internal points contained in the edge cluster are removed by using orthogonal bidirectional projection to obtain the image edge extraction result.

7. The method for using a digital power grid intelligent patrol system according to claim 5 is characterized by: The three-dimensional image enhancement module enhancement method is as follows: a. First, perform histogram equalization on the image and then remove background noise; b. Then, the image is subjected to noise removal. The noise removal is processed by image interpolation function operation. The function formula is: C'=A*T+D*(1-T), where C' represents the output image pixel after denoising, A represents the current image pixel to be processed, T represents the logical balance variable, and D represents the noise smoothing value of the current pixel to be processed.

Images