Power transmission cable safety monitoring system
Through the deep neural network model combining color imaging characteristics and depth of field analysis, it is intelligently judged whether crops and transmission cables are in contact, which solves the problem of difficult to identify crop climbing transmission cables with high precision in the existing technology, and improves the safety of transmission line wiring.
Patent Information
- Application Number
- CN202411906502.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-02-29
- Filing Date
- 2024-12-23
- Publication Date
- 2025-03-21
AI Technical Summary
The prior art is difficult to identify the abnormal scenes of crop climbing transmission cables with high accuracy, resulting in safety hazards in transmission line wiring.
The deep neural network model is used to combine color imaging characteristics and depth of field analysis to intelligently judge whether crops and transmission cables are in contact, thereby performing intelligent judgment processing.
It improves the safety of transmission line routing, can accurately identify and handle abnormal scenarios of crop climbing cables, and improves the safety level of transmission line routing.
Abstract
Description
Technical Field
[0001] The present invention relates to the field of power transmission equipment management, and in particular to a power transmission cable safety monitoring system. Background Art
[0002] The backup protection of transmission cables mainly includes distance protection, zero sequence protection, direction protection, etc. Voltage protection and current protection are generally not used alone because they cannot meet the reliability and selectivity requirements. Generally, the two are used together. And all kinds of protection are equipped with automatic reclosing devices. And the protection is divided into phase-to-phase and single-phase. If it is a double-circuit line, the direction needs to be considered.
[0003] When setting, attention should be paid to the coordination between various protections. The capacitance, mutual inductance, and branch lines of the transmission cables should also be considered. The branch transformer, system operation mode, grounding mode, reclosing mode, etc. Another important point is that for transmission cables of 220KV and above systems, due to the high voltage level, the fault is mainly a single-phase grounding fault, and sometimes the fault current may be less than the load current. And it is greatly affected by various line parameters. When configuring protection, it is especially important to fully consider the influence of various situations and parameters.
[0004] For example, CN118898810A discloses a method, device, electronic device and storage medium for identifying hidden dangers of external damage to power transmission cables, the method comprising: obtaining a monitoring image for monitoring construction machinery and power transmission cables, the monitoring image comprising a first image area where the construction machinery is located and a second image area where the power transmission cables are located; if the first image area and the second image area are at the same relative depth in the monitoring image, then calculating the actual distance between the construction machinery and the power transmission cables according to the first image area and the second image area; the relative depth represents the front-to-back relationship between the construction machinery in the first image area and the power transmission cables in the second image area in the monitoring image; if the actual distance is less than a preset threshold, then determining that the power transmission cables have hidden dangers of external damage. This technology can improve the accuracy of identifying hidden dangers of external damage to power transmission cables and accurately warn of hidden dangers of external damage to power transmission cables. Summary of the invention
[0005] In order to solve the technical problems in the related fields, the present invention provides a transmission cable safety monitoring system, which can detect the image area of crops in a graded enhanced image as the crop imaging area based on the color imaging characteristics of crops, detect the image area of the transmission cable in the graded enhanced image as the cable imaging area based on the color imaging characteristics of the transmission cable, and quote a deep neural network model to intelligently analyze whether crops and transmission cables are in contact based on the curve length of the edge of the crop imaging area, the curve length of the edge of the cable imaging area, the depth of field value of each pixel point in the crop imaging area, and the depth of field value of each pixel point in the cable imaging area, thereby intelligently judging and processing the abnormal scene of crops clinging to the cable during the routing of the transmission cable, thereby improving the routing safety level of the transmission line.
[0006] According to the present invention, a power transmission cable safety monitoring system is provided, the system comprising: A load measuring device, arranged at the tail of a single power transmission cable, is used to measure the current load of the single power transmission cable in real time to obtain and output corresponding real-time load data; A trigger monitor connected to the load measuring device, used to start the overhead shooting operation of the single power transmission cable when the received real-time load data exceeds or is equal to the set load threshold, so as to obtain and output the corresponding overhead shooting monitoring image, and also used to stop the overhead shooting operation of the single power transmission cable when the received real-time load data is less than the set load threshold; A step-by-step enhancement device, connected to the trigger-type monitor and having a first enhancement device, a second enhancement device, and a third enhancement device built therein, for successively performing directional blurring processing, Gaussian high-pass filtering processing, and image spatial domain enhancement processing on the received overhead monitoring image, so as to obtain and output a corresponding hierarchically enhanced image; A block detection device is connected to the step-by-step enhancement device, and detects an image area of crops in the step-by-step enhancement image as a crop imaging area based on the color imaging characteristics of the crops, and detects an image area of the power transmission cable in the step-by-step enhancement image as a cable imaging area based on the color imaging characteristics of the power transmission cable; A contact judgment device connected to the block detection device is used to refer to a deep neural network model to intelligently analyze whether the crops are in contact with the power transmission cable based on the curve length of the edge of the crop imaging area, the curve length of the edge of the cable imaging area, the depth of field value of each pixel point in the crop imaging area, and the depth of field value of each pixel point in the cable imaging area; An information transmission device connected to the contact judgment device is used to transmit the alarm information corresponding to the crop clinging to the transmission cable and the cable number corresponding to the single transmission cable to a remote line management network element through a wireless communication link when intelligently analyzing the contact between the crop and the transmission cable; Among them, the deep neural network model is referenced to intelligently analyze whether crops and power transmission cables are in contact based on the curve length of the edge of the crop imaging area, the curve length of the edge of the cable imaging area, the depth of field value of each pixel point in the crop imaging area, and the depth of field value of each pixel point in the cable imaging area, including: the deep neural network model is a deep neural network after executing a set number of trainings, and the value of the set number is positively correlated with the product of the length and width of the graded enhanced image.
[0007] It can be seen that the present invention has at least the following three important inventive concepts: Inventive concept A: Based on the color imaging characteristics of the crops, the image area of the crops in the graded enhanced image is detected as the crop imaging area, and based on the color imaging characteristics of the power transmission cable, the image area of the power transmission cable in the graded enhanced image is detected as the cable imaging area; Inventive concept B: A deep neural network model is used to intelligently analyze whether crops and power transmission cables are in contact based on the curve length of the edge of the crop imaging area, the curve length of the edge of the cable imaging area, the depth of field value of each pixel point in the crop imaging area, and the depth of field value of each pixel point in the cable imaging area, thereby intelligently judging and processing abnormal scenes of crops clinging to cables during the routing of the transmission cables, thereby improving the routing safety level of the transmission lines; Inventive concept C: The deep neural network model used for intelligent analysis is a deep neural network after executing a set number of trainings, and the value of the set number is positively correlated with the product of the length and width of the graded enhanced image, thereby completing customized processing of the deep neural network model. DETAILED DESCRIPTION
[0008] Transmission cables are generally arranged in suburban environments or even wild environments to minimize the impact on people's living environment. However, when transmission cables are arranged in crop planting areas, there are abnormal scenarios in which crops in various growth states in the arrangement scenes cling to the cables, posing a safety hazard to the normal power transmission of the transmission cables. Obviously, the existing technology lacks a targeted and high-precision identification mechanism for abnormal scenarios of crops clinging to cables.
[0009] The following is a detailed description of an embodiment of the power transmission cable safety monitoring system of the present invention.
[0010] First embodiment
[0011] According to a first embodiment of the present invention, a power transmission cable safety monitoring system is shown, the system comprising: A load measuring device, arranged at the tail of a single power transmission cable, is used to measure the current load of the single power transmission cable in real time to obtain and output corresponding real-time load data; For example, a load measuring device is provided at the tail of a single power transmission cable, and is used to measure the current load of the single power transmission cable in real time, so as to obtain and output corresponding real-time load data, including: the load measuring device includes a parameter measuring component and a data output component, the parameter measuring component is connected to the data output component, and the parameter measuring component is used to measure the current load of the single power transmission cable in real time; A trigger monitor connected to the load measuring device, used to start the overhead shooting operation of the single power transmission cable when the received real-time load data exceeds or is equal to the set load threshold, so as to obtain and output the corresponding overhead shooting monitoring image, and also used to stop the overhead shooting operation of the single power transmission cable when the received real-time load data is less than the set load threshold; A step-by-step enhancement device, connected to the trigger-type monitor and having a first enhancement device, a second enhancement device, and a third enhancement device built therein, for successively performing directional blurring processing, Gaussian high-pass filtering processing, and image spatial domain enhancement processing on the received overhead monitoring image, so as to obtain and output a corresponding hierarchically enhanced image; A block detection device is connected to the step-by-step enhancement device, and detects an image area of crops in the step-by-step enhancement image as a crop imaging area based on the color imaging characteristics of the crops, and detects an image area of the power transmission cable in the step-by-step enhancement image as a cable imaging area based on the color imaging characteristics of the power transmission cable; A contact judgment device connected to the block detection device is used to refer to a deep neural network model to intelligently analyze whether the crops are in contact with the power transmission cable based on the curve length of the edge of the crop imaging area, the curve length of the edge of the cable imaging area, the depth of field value of each pixel point in the crop imaging area, and the depth of field value of each pixel point in the cable imaging area; An information transmission device connected to the contact judgment device is used to transmit the alarm information corresponding to the crop clinging to the transmission cable and the cable number corresponding to the single transmission cable to a remote line management network element through a wireless communication link when intelligently analyzing the contact between the crop and the transmission cable; Wherein, the deep neural network model is used to intelligently analyze whether the crops and the power transmission cables are in contact based on the curve length of the edge of the crop imaging area, the curve length of the edge of the cable imaging area, the depth of field value of each pixel point in the crop imaging area, and the depth of field value of each pixel point in the cable imaging area, including: the deep neural network model is a deep neural network after executing a set number of trainings, and the value of the set number is positively correlated with the product of the length and width of the hierarchical enhancement image; The information transmission device is also used to transmit the alarm information corresponding to the suspension of the crops clinging to the transmission cable and the cable number corresponding to the single transmission cable to the remote line management network element through the wireless communication link when the crops and the transmission cable are not in contact with each other through intelligent analysis; Among them, the step-by-step enhancement device is connected to the trigger monitor and has a first enhancement device, a second enhancement device and a third enhancement device built in, and is used to successively perform directional blur processing, Gaussian high-pass filtering processing and image spatial domain enhancement processing on the received overhead monitoring image to obtain and output the corresponding hierarchical enhanced image, including: the first enhancement device is used to perform directional blur processing on the received image data.
[0012] Second embodiment
[0013] A second embodiment of the present invention shows a power transmission cable safety monitoring system.
[0014] Different from the first embodiment, the power transmission cable safety monitoring system in the second embodiment may further include the following components: a volume recognition mechanism, which is arranged near the block detection device, the first enhancement device, the second enhancement device and the third enhancement device and is connected to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively; Among them, the volume recognition mechanism is arranged near the block detection device, the first enhancement device, the second enhancement device and the third enhancement device and is respectively connected to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device, including: the volume recognition mechanism includes a plurality of volume recognition units, which are used to respectively measure the respective physical volumes of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device based on a three-dimensional image analysis mechanism.
[0015] Third embodiment
[0016] A third embodiment of the present invention shows a power transmission cable safety monitoring system.
[0017] Different from the first embodiment, the power transmission cable safety monitoring system in the third embodiment may further include the following components: a routing service mechanism, which is arranged near the block detection device, the first enhancement device, the second enhancement device and the third enhancement device and is connected to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively; Among them, the routing service mechanism is arranged near the block detection device, the first enhancement device, the second enhancement device and the third enhancement device and is respectively connected to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device, including: the routing service mechanism is used to provide routing services for accessing the nearest wireless communication network for the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
[0018] Next, the specific structure of the power transmission cable safety monitoring system of the present invention will be further described.
[0019] In a power transmission cable safety monitoring system according to any one of the embodiments of the present invention: A data correction device is used to perform image data processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
[0020] In a power transmission cable safety monitoring system according to any one of the embodiments of the present invention: Using a data correction device to perform image data processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively includes: performing Sobel operator sharpening on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
[0021] In a power transmission cable safety monitoring system according to any one of the embodiments of the present invention: Using a data correction device to perform image data processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively includes: performing logarithmic image enhancement on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
[0022] In a power transmission cable safety monitoring system according to any one of the embodiments of the present invention: Using a data correction device to perform image data processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively includes: performing morphological processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
[0023] And in the power transmission cable safety monitoring system according to any embodiment of the present invention: Using a data correction device to perform image data processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively includes: performing Gaussian low-pass filtering on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
[0024] In addition, in the power transmission cable safety monitoring system, the step-by-step enhancement device is connected to the trigger monitor and has a first enhancement device, a second enhancement device and a third enhancement device built therein, and is used to successively perform directional blurring processing, Gaussian high-pass filtering processing and image spatial domain enhancement processing on the received overhead monitoring image to obtain and output the corresponding hierarchical enhancement image, and further includes: the second enhancement device is used to perform Gaussian high-pass filtering processing on the received image data; Among them, the step-by-step enhancement device is connected to the trigger monitor and has a first enhancement device, a second enhancement device and a third enhancement device built in, and is used to successively perform directional blurring processing, Gaussian high-pass filtering processing and image spatial domain enhancement processing on the received overhead monitoring image to obtain and output the corresponding hierarchically enhanced image, and also includes: the third enhancement device is used to perform image spatial domain enhancement processing on the received image data.
[0025] The power transmission cable safety monitoring system of the present invention can solve the technical problem in the prior art that it is difficult to identify in a targeted and high-precision manner whether crops and transmission cables are in contact. Customized and selected visual data can be used to reference a deep neural network model to intelligently analyze whether crops and transmission cables are in contact, thereby making intelligent judgments and processing on abnormal scenarios in which crops cling to cables during the routing of transmission cables, thereby improving the routing safety level of transmission lines.
[0026] Although the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, and modifications may be made within the scope of the gist of the present invention.
Claims
1. A power transmission cable safety monitoring system, characterized in that: The system comprises: A load measuring device is provided at the tail of a single power transmission cable, and is used to measure the current load of the single power transmission cable in real time, so as to obtain and output corresponding real-time load data; A trigger monitor connected to the load measuring device, used to start the overhead shooting operation of the single power transmission cable when the received real-time load data exceeds or is equal to the set load threshold, so as to obtain and output the corresponding overhead shooting monitoring image, and also used to stop the overhead shooting operation of the single power transmission cable when the received real-time load data is less than the set load threshold; A step-by-step enhancement device, connected to the trigger-type monitor and having a first enhancement device, a second enhancement device, and a third enhancement device built therein, for successively performing directional blurring processing, Gaussian high-pass filtering processing, and image spatial domain enhancement processing on the received overhead monitoring image, so as to obtain and output a corresponding hierarchically enhanced image; A block detection device is connected to the step-by-step enhancement device, and detects an image area of crops in the step-by-step enhancement image as a crop imaging area based on the color imaging characteristics of the crops, and detects an image area of the power transmission cable in the step-by-step enhancement image as a cable imaging area based on the color imaging characteristics of the power transmission cable; A contact judgment device connected to the block detection device is used to refer to a deep neural network model to intelligently analyze whether the crops are in contact with the power transmission cable based on the curve length of the edge of the crop imaging area, the curve length of the edge of the cable imaging area, the depth of field value of each pixel point in the crop imaging area, and the depth of field value of each pixel point in the cable imaging area; An information transmission device connected to the contact judgment device is used to transmit the alarm information corresponding to the crop clinging to the transmission cable and the cable number corresponding to the single transmission cable to a remote line management network element through a wireless communication link when intelligently analyzing the contact between the crop and the transmission cable; Among them, the deep neural network model is referenced to intelligently analyze whether crops and power transmission cables are in contact based on the curve length of the edge of the crop imaging area, the curve length of the edge of the cable imaging area, the depth of field value of each pixel point in the crop imaging area, and the depth of field value of each pixel point in the cable imaging area, including: the deep neural network model is a deep neural network after executing a set number of trainings, and the value of the set number is positively correlated with the product of the length and width of the graded enhanced image.
2. The power transmission cable safety monitoring system according to claim 1, characterized in that: The information transmission device is also used to transmit the alarm information corresponding to the suspension of the crops clinging to the transmission cable and the cable number corresponding to the single transmission cable to the remote line management network element through the wireless communication link when the crops and the transmission cable are not in contact with each other through intelligent analysis; Among them, the step-by-step enhancement device is connected to the trigger monitor and has a first enhancement device, a second enhancement device and a third enhancement device built in, and is used to successively perform directional blur processing, Gaussian high-pass filtering processing and image spatial domain enhancement processing on the received overhead monitoring image to obtain and output the corresponding hierarchical enhanced image, including: the first enhancement device is used to perform directional blur processing on the received image data.
3. The power transmission cable safety monitoring system according to claim 2, characterized in that: The system further comprises: a volume recognition mechanism, which is arranged near the block detection device, the first enhancement device, the second enhancement device and the third enhancement device and is connected to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively; Among them, the volume recognition mechanism is arranged near the block detection device, the first enhancement device, the second enhancement device and the third enhancement device and is respectively connected to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device, including: the volume recognition mechanism includes a plurality of volume recognition units, which are used to respectively measure the respective physical volumes of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device based on a three-dimensional image analysis mechanism.
4. The power transmission cable safety monitoring system according to claim 2, characterized in that: The system further comprises: a routing service mechanism, which is arranged near the block detection device, the first enhancement device, the second enhancement device and the third enhancement device and is connected to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively; Among them, the routing service mechanism is arranged near the block detection device, the first enhancement device, the second enhancement device and the third enhancement device and is respectively connected to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device, including: the routing service mechanism is used to provide routing services for accessing the nearest wireless communication network for the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
5. The power transmission cable safety monitoring system according to any one of claims 2 to 4, characterized in that: A data correction device is used to perform image data processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
6. The power transmission cable safety monitoring system according to claim 5, characterized in that: Using a data correction device to perform image data processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively includes: performing Sobel operator sharpening on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
7. The power transmission cable safety monitoring system according to claim 5, characterized in that: Using a data correction device to perform image data processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively includes: performing logarithmic image enhancement on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
8. The power transmission cable safety monitoring system according to claim 5, characterized in that: Using a data correction device to perform image data processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively includes: performing morphological processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
9. The power transmission cable safety monitoring system according to claim 5, characterized in that: Using a data correction device to perform image data processing on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively includes: performing Gaussian low-pass filtering on the output data of the block detection device, the first enhancement device, the second enhancement device and the third enhancement device to obtain the output processing data corresponding to the block detection device, the first enhancement device, the second enhancement device and the third enhancement device respectively.
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