Power transmission line hardware fitting management system

Abstract

The invention relates to a power transmission line fitting management system. The system comprises a data capture mechanism, a primary optimization mechanism, secondary optimization equipment, final optimization equipment, a smoothness identification device and a frequency division transmission device. According to the invention, targeted intelligent identification processing can be carried out on the use state of the associated hardware fitting of the power transmission line.

Description

Technical Field

[0001] The present invention relates to the field of power transmission lines, and in particular to a power transmission line hardware management system. Background Art

[0002] Hardware is a common metal product used to connect, fix and support various components or devices. It includes parts of various shapes and functions, such as screws, nuts, bolts, washers, rivets, etc. Hardware is mainly made of metal, usually made of steel, stainless steel, copper and aluminum.

[0003] Hardware plays a very important role in power transmission lines. Power transmission lines are important facilities that transmit electric energy from power plants to various places for power supply. Hardware is the key component connecting power transmission lines, responsible for supporting and fixing conductors and insulators.

[0004] First of all, hardware is used to fix the conductors in the transmission line. The conductor is the main body of the electric energy transmission. The hardware fixes the conductor to the pole tower through bolts, nuts and other fixings to ensure that the conductor can be firmly suspended in the air without being disturbed by external forces, thus ensuring the safe transmission of electric energy. In addition, hardware also plays the role of conducting and dispersing electric current. In the transmission line, heat is generated when the current flows through the conductor. The hardware can effectively disperse this heat and prevent the conductor from overheating. The excellent conductivity of the hardware can also ensure the stable transmission of current during the transmission process. Of course, the selection and use of hardware also need to take into account factors such as specific power and voltage. Different transmission lines will have different requirements for hardware, which need to be selected and designed according to specific engineering needs.

[0005] The invention with application publication number CN117117759A is a high-voltage transmission line adaptive energy dissipation vibration suppression type viscous damping spacer, which includes a conductor, a hinge module, a hanging plate module, a viscous damper and an insulating module; wherein the conductor is used as a transmission medium for transmitting electric energy; the hinge module is used to fix the conductor and connect the hanging plate module and the insulating module; the hanging plate module is used to fix and support the hinge module, the viscous damper and the insulating module; the viscous damper is used to provide additional damping for the spacer, and the damping force is generated through the interaction between the damping medium and the piston and the cylinder to dissipate the vibration input energy of the transmission line; the insulating module is used to avoid short circuit or leakage accidents between the conductors in the running transmission line. The invention can absorb and dissipate the impact energy caused by the vibration of each conductor through the viscous damper, has strong energy dissipation and shock absorption, can ensure the electrical distance, and improve the safety of transmission line operation.

[0006] It can be seen that the state of the hardware has a great impact on its working performance. For example, the surface smoothness of the hardware directly determines the heat dissipation performance and current transmission stability of the hardware. However, there is no high-precision identification mechanism for the targeted surface smoothness of the hardware used in the transmission line in the prior art, resulting in the inability to guarantee the heat dissipation performance and current transmission stability of the hardware in the transmission line application. Summary of the invention

[0007] In order to solve the technical problems in the related field, the present invention provides a power transmission line hardware management system, the system comprising: A data capture mechanism is provided on a tower body for erecting a power transmission line, and is used to perform a directional shooting operation facing the surface of a hardware of the power transmission line to obtain and output a corresponding directional imaging frame, wherein the hardware of the power transmission line is a suspension wire hardware, an insulator string hardware, a jumper hardware, an insulator hardware or a ground wire hardware of the power transmission line; A primary optimization mechanism, connected to the data capture mechanism, for performing edge-preserving smoothing filtering and recursive filtering on the received directional imaging frame to obtain and output a corresponding primary optimized image; A secondary optimization device, connected to the primary optimization mechanism, for performing geometric correction processing on the received primary optimization image to obtain and output a corresponding secondary optimization image; A final optimization device, connected to the secondary optimization device, for performing a histogram equalization process based on a distribution function on the received secondary optimization image to obtain and output a corresponding final optimization image; A smoothness identification device is connected to the final optimization device, and is used to identify the imaging area corresponding to the hardware in the received final optimization image based on the reference contour pattern corresponding to the hardware of the transmission line, obtain the imaging depth data corresponding to each pixel point in the imaging area corresponding to the hardware, and determine the surface smoothness level corresponding to the hardware based on the standard deviation of each imaging depth data. The larger the standard deviation of each imaging depth data, the lower the surface smoothness level corresponding to the hardware, wherein the imaging area corresponding to the hardware is the image area in the final optimization image that has the highest matching degree with the reference contour pattern corresponding to the hardware and occupies an area percentage of the final optimization image that is greater than or equal to a set percentage limit; A frequency division transmission device, connected to the smoothness identification device, for wirelessly transmitting the received surface smoothness level corresponding to the hardware to a remote cloud computing service node via a frequency division duplex communication link; Among them, based on the baseline contour pattern corresponding to the hardware of the transmission line, the imaging area corresponding to the hardware in the received final-level optimization image is identified, and each imaging depth of field data corresponding to each pixel point in the imaging area corresponding to the hardware is obtained, and the surface smoothness level corresponding to the hardware is determined based on the standard deviation of each imaging depth of field data. The larger the standard deviation of each imaging depth of field data, the lower the surface smoothness level corresponding to the determined hardware. This includes: using a numerical conversion function to represent the numerical conversion relationship between the standard deviation of each imaging depth of field data and the determined surface smoothness level corresponding to the hardware.

[0008] The present invention can obtain various imaging depth data corresponding to each pixel point in the imaging area corresponding to the hardware, and determine the surface smoothness level corresponding to the hardware based on the standard deviation of the various imaging depth data. The larger the standard deviation of the various imaging depth data, the lower the surface smoothness level corresponding to the determined hardware, thereby performing targeted intelligent identification processing on the usage status of the associated hardware of the transmission line. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] The embodiments of the present invention will be described below with reference to the accompanying drawings.

[0010] Figure 1 The figure is a schematic diagram of the internal structure of a power transmission line hardware management system according to an embodiment of the present invention.

[0011] Figure 2 Schematic diagram of the internal structure of a power transmission line hardware management system according to Embodiment B of the present invention.

[0012] Figure 3 Schematic diagram of the internal structure of a power transmission line hardware management system according to Embodiment C of the present invention. DETAILED DESCRIPTION

[0013] The implementation scheme of the power transmission line hardware management system of the present invention will be described in detail below with reference to the accompanying drawings.

[0014] Figure 1 This is a schematic diagram of the internal structure of a power transmission line hardware management system according to an embodiment of the present invention. The system includes: A data capture mechanism is provided on a tower body for erecting a power transmission line, and is used to perform a directional shooting operation facing the surface of a hardware of the power transmission line to obtain and output a corresponding directional imaging frame, wherein the hardware of the power transmission line is a suspension wire hardware, an insulator string hardware, a jumper hardware, an insulator hardware or a ground wire hardware of the power transmission line; For example, a data capture mechanism is provided on a tower body for erecting a transmission line, and is used to perform a directional shooting operation facing the surface of a hardware of the transmission line to obtain and output a corresponding directional imaging frame, wherein the hardware of the transmission line is a suspension wire hardware, an insulator string hardware, a jumper hardware, an insulator hardware or a ground wire hardware of the transmission line, and includes: an imaging plane of an imaging lens of the data capture mechanism and a plane where the surface of the hardware is located are parallel to each other; A primary optimization mechanism, connected to the data capture mechanism, for performing edge-preserving smoothing filtering and recursive filtering on the received directional imaging frame to obtain and output a corresponding primary optimized image; A secondary optimization device, connected to the primary optimization mechanism, for performing geometric correction processing on the received primary optimization image to obtain and output a corresponding secondary optimization image; A final optimization device, connected to the secondary optimization device, for performing a histogram equalization process based on a distribution function on the received secondary optimization image to obtain and output a corresponding final optimization image; A smoothness identification device is connected to the final optimization device, and is used to identify the imaging area corresponding to the hardware in the received final optimization image based on the reference contour pattern corresponding to the hardware of the transmission line, obtain the imaging depth data corresponding to each pixel point in the imaging area corresponding to the hardware, and determine the surface smoothness level corresponding to the hardware based on the standard deviation of each imaging depth data. The larger the standard deviation of each imaging depth data, the lower the surface smoothness level corresponding to the hardware, wherein the imaging area corresponding to the hardware is the image area in the final optimization image that has the highest matching degree with the reference contour pattern corresponding to the hardware and occupies an area percentage of the final optimization image that is greater than or equal to a set percentage limit; A frequency division transmission device, connected to the smoothness identification device, for wirelessly transmitting the received surface smoothness level corresponding to the hardware to a remote cloud computing service node via a frequency division duplex communication link; Among them, based on the reference contour pattern corresponding to the hardware of the transmission line, the imaging area corresponding to the hardware in the received final optimization image is identified, each imaging depth of field data corresponding to each pixel point in the imaging area corresponding to the hardware is obtained, and the surface smoothness level corresponding to the hardware is determined based on the standard deviation of each imaging depth of field data. The larger the standard deviation of each imaging depth of field data, the lower the surface smoothness level corresponding to the determined hardware includes: using a numerical conversion function to represent the numerical conversion relationship between the standard deviation of each imaging depth of field data and the determined surface smoothness level corresponding to the hardware; Among them, based on the reference contour pattern corresponding to the hardware of the transmission line, the imaging area corresponding to the hardware in the received final-level optimized image is identified, and each imaging depth of field data corresponding to each pixel point in the imaging area corresponding to the hardware is obtained, and the surface smoothness level corresponding to the hardware is determined based on the standard deviation of each imaging depth of field data. The larger the standard deviation of each imaging depth of field data, the lower the determined surface smoothness level corresponding to the hardware. It also includes: the reference contour pattern corresponding to the hardware of the transmission line is an imaging pattern of the hardware of the transmission line taken in the factory state and only includes the hardware of the transmission line.

[0015] Figure 2 Schematic diagram of the internal structure of a power transmission line hardware management system according to Embodiment B of the present invention.

[0016] Compared with the hardware of the implementation scheme, the power transmission line hardware management system shown in implementation scheme B may also include the following components: A visual monitoring mechanism is arranged near the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device and is connected to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively; Among them, the visual monitoring mechanism is arranged near the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device and is respectively connected to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device, including: the visual monitoring mechanism includes a plurality of ultra-high-definition cameras, which are used to provide ultra-high-definition monitoring images of the respective working environments for the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device.

[0017] Figure 3 Schematic diagram of the internal structure of a power transmission line hardware management system according to Embodiment C of the present invention.

[0018] Compared with the hardware of the implementation scheme, the power transmission line hardware management system shown in implementation scheme C may also include the following components: a dehumidification processing mechanism, which is arranged near the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device and is connected to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively; Among them, the dehumidification processing mechanism is arranged near the primary optimization mechanism, the secondary optimization equipment, the final optimization equipment and the smoothness identification device and is respectively connected to the primary optimization mechanism, the secondary optimization equipment, the final optimization equipment and the smoothness identification device, including: the dehumidification processing mechanism includes a plurality of dehumidification processing units, which are used to provide the primary optimization mechanism, the secondary optimization equipment, the final optimization equipment and the smoothness identification device with the required dehumidification processing operations respectively.

[0019] Next, the specific structure of the power transmission line hardware management system of the present invention will be further described.

[0020] In a power transmission line hardware management system according to any embodiment of the present invention: A quality improvement operation device is used to perform image data processing on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively.

[0021] In a power transmission line hardware management system according to any embodiment of the present invention: Using a quality improvement operation device to perform image data processing on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively includes: performing Kirsch operator sharpening on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively.

[0022] In a power transmission line hardware management system according to any embodiment of the present invention: Using a quality improvement operation device to perform image data processing on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively includes: performing logarithmic image enhancement on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively.

[0023] In a power transmission line hardware management system according to any embodiment of the present invention: Using a quality improvement operation device to perform image data processing on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively includes: performing gamma correction on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively.

[0024] And in a power transmission line hardware management system according to any embodiment of the present invention: Using a quality improvement operation device to perform image data processing on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively includes: performing distortion correction on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively.

[0025] In addition, in the power transmission line fitting management system, based on the benchmark contour pattern corresponding to the hardware of the transmission line, the imaging area corresponding to the hardware in the final optimization image received is identified, and each imaging depth of field data corresponding to each pixel point in the imaging area corresponding to the hardware is obtained. The surface smoothness level corresponding to the hardware is determined based on the standard deviation of each imaging depth of field data. The larger the standard deviation of each imaging depth of field data, the lower the surface smoothness level corresponding to the hardware is determined. It also includes: using MATLAB toolbox to simulate the imaging area corresponding to the hardware in the final optimization image received based on the benchmark contour pattern corresponding to the hardware of the transmission line, obtaining each imaging depth of field data corresponding to each pixel point in the imaging area corresponding to the hardware, and determining the surface smoothness level corresponding to the hardware based on the standard deviation of each imaging depth of field data. The larger the standard deviation of each imaging depth of field data, the lower the surface smoothness level corresponding to the hardware is determined.

[0026] The present invention has at least the following three important inventive features: A: Perform directional shooting operation on the surface of the hardware of the power transmission line to obtain and output the corresponding directional imaging frame, and sequentially perform edge-preserving smoothing filtering, recursive filtering, geometric correction and histogram equalization based on distribution function on the directional imaging frame to obtain and output a final optimized image with better image quality; B: an imaging area corresponding to the hardware in the received final-level optimization image based on the reference contour pattern corresponding to the hardware, wherein the imaging area corresponding to the hardware is an image area in the final-level optimization image that has the highest matching degree with the reference contour pattern corresponding to the hardware and occupies an area percentage of the final-level optimization image that is greater than or equal to a set percentage limit; C: Obtain the imaging depth data corresponding to each pixel point in the imaging area corresponding to the hardware, and determine the surface smoothness level corresponding to the hardware based on the standard deviation of the imaging depth data. The larger the standard deviation of the imaging depth data, the lower the surface smoothness level corresponding to the hardware, thereby performing targeted intelligent identification processing on the usage status of the related hardware of the transmission line.

[0027] The power transmission line fitting management system of the present invention can obtain the imaging depth data corresponding to each pixel point in the imaging area corresponding to the fitting, and determine the surface smoothness level corresponding to the fitting based on the standard deviation of the imaging depth data. The larger the standard deviation of the imaging depth data, the lower the surface smoothness level corresponding to the fitting, thereby performing targeted intelligent identification processing on the usage status of the associated fittings of the transmission line.

[0028] For purposes of illustration and description, a description of an illustrative embodiment of the present invention has been provided above. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations will become apparent to those skilled in the art. The illustrative embodiments have been selected and described to best explain the principles of the invention and its practical application, thereby enabling others skilled in the art to understand the various embodiments of the invention, and the various modified examples are equally applicable to the particular application contemplated. The scope of the present invention is defined by the following claims and their equivalents.

Claims

1. A power transmission line hardware management system, characterized in that: The system comprises: A data capture mechanism is provided on a tower body for erecting a power transmission line, and is used to perform a directional shooting operation facing the surface of a hardware of the power transmission line to obtain and output a corresponding directional imaging frame, wherein the hardware of the power transmission line is a suspension wire hardware, an insulator string hardware, a jumper hardware, an insulator hardware or a ground wire hardware of the power transmission line; A primary optimization mechanism, connected to the data capture mechanism, for performing edge-preserving smoothing filtering and recursive filtering on the received directional imaging frame to obtain and output a corresponding primary optimized image; A secondary optimization device, connected to the primary optimization mechanism, for performing geometric correction processing on the received primary optimization image to obtain and output a corresponding secondary optimization image; A final optimization device, connected to the secondary optimization device, for performing a histogram equalization process based on a distribution function on the received secondary optimization image to obtain and output a corresponding final optimization image; A smoothness identification device is connected to the final optimization device, and is used to identify the imaging area corresponding to the hardware in the received final optimization image based on the reference contour pattern corresponding to the hardware of the transmission line, obtain the imaging depth data corresponding to each pixel point in the imaging area corresponding to the hardware, and determine the surface smoothness level corresponding to the hardware based on the standard deviation of each imaging depth data. The larger the standard deviation of each imaging depth data, the lower the surface smoothness level corresponding to the hardware, wherein the imaging area corresponding to the hardware is the image area in the final optimization image that has the highest matching degree with the reference contour pattern corresponding to the hardware and occupies an area percentage of the final optimization image that is greater than or equal to a set percentage limit; A frequency division transmission device, connected to the smoothness identification device, for wirelessly transmitting the received surface smoothness level corresponding to the hardware to a remote cloud computing service node via a frequency division duplex communication link; Among them, based on the baseline contour pattern corresponding to the hardware of the transmission line, the imaging area corresponding to the hardware in the received final-level optimization image is identified, and each imaging depth of field data corresponding to each pixel point in the imaging area corresponding to the hardware is obtained, and the surface smoothness level corresponding to the hardware is determined based on the standard deviation of each imaging depth of field data. The larger the standard deviation of each imaging depth of field data, the lower the surface smoothness level corresponding to the determined hardware. This includes: using a numerical conversion function to represent the numerical conversion relationship between the standard deviation of each imaging depth of field data and the determined surface smoothness level corresponding to the hardware.

2. The power transmission line hardware management system according to claim 1, characterized in that: Based on the reference contour pattern corresponding to the hardware of the transmission line, an imaging area corresponding to the hardware in the received final-level optimized image is identified, and each imaging depth of field data corresponding to each pixel point in the imaging area corresponding to the hardware is obtained; based on the standard deviation of each imaging depth of field data, a surface smoothness grade corresponding to the hardware is determined, and the larger the standard deviation of each imaging depth of field data, the lower the determined surface smoothness grade corresponding to the hardware is. It also includes: the reference contour pattern corresponding to the hardware of the transmission line is an imaging pattern of the hardware of the transmission line taken when the hardware of the transmission line is in the factory state and only includes the hardware of the transmission line.

3. The power transmission line hardware management system according to claim 2, characterized in that: The system further comprises: A visual monitoring mechanism is arranged near the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device and is connected to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively; Among them, the visual monitoring mechanism is arranged near the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device and is respectively connected to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device, including: the visual monitoring mechanism includes a plurality of ultra-high-definition cameras, which are used to provide ultra-high-definition monitoring images of the respective working environments for the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device.

4. The power transmission line hardware management system according to claim 2, characterized in that: The system further comprises: a dehumidification processing mechanism, which is arranged near the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device and is connected to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively; Among them, the dehumidification processing mechanism is arranged near the primary optimization mechanism, the secondary optimization equipment, the final optimization equipment and the smoothness identification device and is respectively connected to the primary optimization mechanism, the secondary optimization equipment, the final optimization equipment and the smoothness identification device, including: the dehumidification processing mechanism includes a plurality of dehumidification processing units, which are used to provide the primary optimization mechanism, the secondary optimization equipment, the final optimization equipment and the smoothness identification device with the required dehumidification processing operations respectively.

5. The power transmission line hardware management system according to any one of claims 2 to 4, characterized in that: A quality improvement operation device is used to perform image data processing on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively.

6. The power transmission line hardware management system according to claim 5, characterized in that: Using a quality improvement operation device to perform image data processing on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively includes: performing Kirsch operator sharpening on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively.

7. The power transmission line hardware management system according to claim 5, characterized in that: Using a quality improvement operation device to perform image data processing on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively includes: performing logarithmic image enhancement on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively.

8. The power transmission line hardware management system according to claim 5, characterized in that: Using a quality improvement operation device to perform image data processing on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively includes: performing gamma correction on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively.

9. The power transmission line hardware management system according to claim 5, characterized in that: Using a quality improvement operation device to perform image data processing on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively includes: performing distortion correction on the output data of the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device to obtain the output processing data corresponding to the primary optimization mechanism, the secondary optimization device, the final optimization device and the smoothness identification device respectively.

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