Power transmission line image quality detection device and detection method thereof

Abstract

The invention belongs to the field of image quality detection devices, particularly relates to a power transmission line image quality detection device and a detection method thereof, and provides the following scheme aiming at the problems that the quality of an image collected by a power transmission line is inconvenient to detect and the accuracy of subsequent analysis is influenced in the prior art. The system comprises an image acquisition module, a positioning module, a parameter extraction module, a parameter identification module, a parameter classification module, a classification comparison module, a quality judgment module, a data display module, a data storage module, a reason analysis module, an optimization suggestion module, an execution module, an extraction module, a parameter storage module and a parameter setting module. The image acquisition module is connected with the positioning module, the positioning module is connected with the parameter extraction module, and the parameter extraction module is connected with the parameter identification module. The system is convenient for carrying out quality detection and optimization on images acquired by a power transmission line, and the accuracy of subsequent analysis is not influenced.

Description

Technical Field

[0001] The present invention relates to the technical field of image quality detection devices, and in particular to a transmission line image quality detection device and a detection method thereof. Background Art

[0002] The transmission line is realized by using a transformer to step up the voltage of the electric energy generated by the generator, and then connecting it to the transmission line through control equipment such as circuit breakers. In terms of structural form, the transmission line is divided into overhead transmission lines and cable lines. Overhead transmission lines are composed of line towers, conductors, insulators, line hardware, guy wires, tower foundations, grounding devices, etc., and are erected above the ground. According to the nature of the transmitted current, power transmission is divided into AC transmission and DC transmission. When the transmission line is in operation, it is monitored by monitoring equipment, and then the monitoring image is analyzed to grasp the operation of the transmission line;

[0003] In the prior art, it is not convenient to perform quality detection on images collected from power transmission lines, which affects the accuracy of subsequent analysis. Therefore, we propose a power transmission line image quality detection device and a detection method thereof to solve the above problem. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art that it is inconvenient to perform quality detection on images collected from power transmission lines, which affects the accuracy of subsequent analysis, and to propose a power transmission line image quality detection device and detection method.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A transmission line image quality detection device comprises an image acquisition module, a positioning module, a parameter extraction module, a parameter identification module, a parameter classification module, a classification comparison module, a quality judgment module, a data display module, a data storage module, a cause analysis module, an optimization suggestion module, an execution module, an extraction module, a parameter storage module and a parameter setting module, wherein the image acquisition module is connected to the positioning module, the positioning module is connected to the parameter extraction module, the parameter extraction module is connected to the parameter identification module, the parameter identification module is connected to the parameter classification module, the parameter classification module is connected to the classification comparison module, the classification comparison module is connected to the quality judgment module, the quality judgment module is connected to the data display module and the cause analysis module, the cause analysis module is connected to the optimization suggestion module, the optimization suggestion module is connected to the execution module, the classification comparison module is connected to the extraction module, the extraction module is connected to the parameter storage module, and the parameter storage module is connected to the parameter setting module.

[0007] Preferably, the classification comparison module includes a receiving unit, the receiving unit is connected to the recognition unit, the recognition unit is connected to the classification comparison unit, and the classification comparison unit is connected to the output unit.

[0008] Preferably, the parameter setting module includes a login unit, the login unit is connected to a parameter input unit, the parameter input unit is connected to a parameter confirmation unit, and the parameter confirmation unit is connected to a transmission unit.

[0009] Preferably, the parameter storage module comprises a parameter identification unit, the parameter identification unit is connected to a parameter classification unit, the parameter classification unit is connected to a parameter storage unit, and the parameter storage unit is connected to a parameter feedback unit.

[0010] Preferably, the quality judgment module comprises a comparison data analysis unit, the comparison data analysis unit is connected to the judgment unit, the judgment unit is connected to the difference type confirmation unit, and the difference type confirmation unit is connected to the sending unit.

[0011] Preferably, the image acquisition module acquires the image of the power transmission line, the positioning module locates the position of the acquired image, and the parameter extraction module extracts the features of the power transmission line image.

[0012] Preferably, the parameter identification module identifies the extracted features, the parameter classification module classifies the identified features, and the classification comparison module transmits the classified feature information to the extraction module.

[0013] Preferably, the extraction module extracts corresponding types of data from the parameter storage module according to the received data, compares the two after extraction, and the quality judgment module analyzes and judges the comparison data to determine whether there is any abnormality in the transmission line image quality.

[0014] Preferably, the data display module displays the abnormal data, the data storage module stores the abnormal data, the cause analysis module analyzes the cause of the abnormality, the optimization suggestion module makes optimization suggestions based on the cause of the abnormality, the execution module executes the optimization suggestions, and the parameter setting module sets normal parameter values ​​for different types of features.

[0015] The present invention also proposes a detection method for a power transmission line image quality detection device, comprising the following steps:

[0016] S1, the image acquisition module acquires the transmission line image, the positioning module locates the acquired image position, the parameter extraction module extracts the features of the transmission line image, the parameter recognition module recognizes the extracted features, the parameter classification module classifies the recognized features, and the classification comparison module transmits the classified feature information to the extraction module;

[0017] S2, the extraction module extracts the corresponding type of data from the parameter storage module according to the received data, compares the two after extraction, and the quality judgment module analyzes and judges the comparison data to determine whether there is any abnormality in the quality of the transmission line image;

[0018] S3. The data display module displays the abnormal data, the data storage module stores the abnormal data, the cause analysis module analyzes the cause of the abnormality, the optimization suggestion module proposes optimization suggestions based on the cause of the abnormality, the execution module executes the optimization suggestions, and the parameter setting module sets the normal parameter values ​​of different types of features.

[0019] In the present invention, the transmission line image quality detection device and the detection method thereof have the following beneficial effects:

[0020] The extraction module of the present invention extracts corresponding types of data from the parameter storage module according to the received data, compares the two after extraction, analyzes and judges the comparison data to determine whether there is abnormality in the image quality of the transmission line, the data display module displays the abnormal data, the data storage module stores the abnormal data, the cause analysis module analyzes the cause of the abnormality, the optimization suggestion module proposes optimization suggestions according to the cause of the abnormality, the execution module executes the optimization suggestions, and the parameter setting module sets normal parameter values ​​of different types of features.

[0021] The present invention facilitates quality detection and optimization of images collected from power transmission lines without affecting the accuracy of subsequent analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A block diagram of a transmission line image quality detection device proposed by the present invention;

[0023] Figure 2 A block diagram of a classification comparison module of a power transmission line image quality detection device proposed by the present invention;

[0024] Figure 3 A block diagram of a parameter setting module of a power transmission line image quality detection device proposed by the present invention;

[0025] Figure 4 A block diagram of a parameter storage module of a power transmission line image quality detection device proposed by the present invention;

[0026] Figure 5 The present invention provides a block diagram of a quality judgment module of a power transmission line image quality detection device. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0028] Embodiment 1

[0029] Reference Figure 1-Figure 5 A transmission line image quality detection device includes an image acquisition module, a positioning module, a parameter extraction module, a parameter identification module, a parameter classification module, a classification comparison module, a quality judgment module, a data display module, a data storage module, a cause analysis module, an optimization suggestion module, an execution module, an extraction module, a parameter storage module and a parameter setting module. The image acquisition module is connected to the positioning module, the positioning module is connected to the parameter extraction module, the parameter extraction module is connected to the parameter identification module, the parameter identification module is connected to the parameter classification module, the parameter classification module is connected to the classification comparison module, the classification comparison module is connected to the quality judgment module, the quality judgment module is connected to the data display module and the cause analysis module, the cause analysis module is connected to the optimization suggestion module, the optimization suggestion module is connected to the execution module, the classification comparison module is connected to the extraction module, the extraction module is connected to the parameter storage module, and the parameter storage module is connected to the parameter setting module.

[0030] In this embodiment, the classification comparison module includes a receiving unit, the receiving unit is connected to the identification unit, the identification unit is connected to the classification comparison unit, and the classification comparison unit is connected to the output unit.

[0031] In this embodiment, the parameter setting module includes a login unit, the login unit is connected to the parameter input unit, the parameter input unit is connected to the parameter confirmation unit, and the parameter confirmation unit is connected to the transmission unit.

[0032] In this embodiment, the parameter storage module includes a parameter identification unit, the parameter identification unit is connected to a parameter classification unit, the parameter classification unit is connected to a parameter storage unit, and the parameter storage unit is connected to a parameter feedback unit.

[0033] In this embodiment, the quality judgment module includes a comparison data analysis unit, the comparison data analysis unit is connected to the judgment unit, the judgment unit is connected to the difference type confirmation unit, and the difference type confirmation unit is connected to the sending unit.

[0034] In this embodiment, the image acquisition module acquires the image of the power transmission line, the positioning module locates the position of the acquired image, and the parameter extraction module extracts the features of the power transmission line image.

[0035] In this embodiment, the parameter recognition module recognizes the extracted features, the parameter classification module classifies the recognized features, and the classification comparison module transmits the classified feature information to the extraction module.

[0036] In this embodiment, the extraction module extracts corresponding types of data from the parameter storage module according to the received data, compares the two after extraction, and the quality judgment module analyzes and judges the comparison data to determine whether there is any abnormality in the transmission line image quality.

[0037] In this embodiment, the data display module displays the abnormal data, the data storage module stores the abnormal data, the cause analysis module analyzes the cause of the abnormality, the optimization suggestion module makes optimization suggestions based on the cause of the abnormality, the execution module executes the optimization suggestions, and the parameter setting module sets the normal parameter values ​​of different types of features.

[0038] The present invention also proposes a detection method for a power transmission line image quality detection device, comprising the following steps:

[0039] S1, the image acquisition module acquires the transmission line image, the positioning module locates the acquired image position, the parameter extraction module extracts the features of the transmission line image, the parameter recognition module recognizes the extracted features, the parameter classification module classifies the recognized features, and the classification comparison module transmits the classified feature information to the extraction module;

[0040] S2, the extraction module extracts the corresponding type of data from the parameter storage module according to the received data, compares the two after extraction, and the quality judgment module analyzes and judges the comparison data to determine whether there is any abnormality in the quality of the transmission line image;

[0041] S3. The data display module displays the abnormal data, the data storage module stores the abnormal data, the cause analysis module analyzes the cause of the abnormality, the optimization suggestion module proposes optimization suggestions based on the cause of the abnormality, the execution module executes the optimization suggestions, and the parameter setting module sets the normal parameter values ​​of different types of features.

[0042] Embodiment 2

[0043] The present embodiment differs from the first embodiment in that the present embodiment includes an image acquisition module, a positioning module, a parameter extraction module, a parameter identification module, a parameter classification module, a classification comparison module, a quality judgment module, a data display module, an abnormal warning module, a data storage module, a cause analysis module, an optimization suggestion module, an execution module, an extraction module, a parameter storage module and a parameter setting module. The image acquisition module is connected to the positioning module, the positioning module is connected to the parameter extraction module, the parameter extraction module is connected to the parameter identification module, the parameter identification module is connected to the parameter classification module, the parameter classification module is connected to the classification comparison module, the classification comparison module is connected to the quality judgment module, the quality judgment module is connected to the data display module and the cause analysis module, the cause analysis module is connected to the optimization suggestion module, the optimization suggestion module is connected to the execution module, the classification comparison module is connected to the extraction module, the extraction module is connected to the parameter storage module, the parameter storage module is connected to the parameter setting module, and the abnormal warning module is connected to the quality judgment module. When an abnormality occurs, an alarm is issued through the abnormal warning module.

[0044] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A transmission line image quality detection device, comprising an image acquisition module, a positioning module, a parameter extraction module, a parameter identification module, a parameter classification module, a classification comparison module, a quality judgment module, a data storage module, a data storage module, a cause analysis module, an optimization suggestion module, an execution module, an extraction module, a parameter storage module and a parameter setting module, It is characterized in that The image acquisition module is connected to the positioning module, the positioning module is connected to the parameter extraction module, the parameter extraction module is connected to the parameter identification module, the parameter identification module is connected to the parameter classification module, the parameter classification module is connected to the classification comparison module, the classification comparison module is connected to the quality judgment module, the quality judgment module is connected to the data display module and the cause analysis module, the cause analysis module is connected to the optimization suggestion module, the optimization suggestion module is connected to the execution module, the classification comparison module is connected to the extraction module, the extraction module is connected to the parameter storage module, and the parameter storage module is connected to the parameter setting module.

2. A transmission line image quality detection device according to claim 1, It is characterized in that The classification comparison module comprises a receiving unit, the receiving unit is connected to the recognition unit, the recognition unit is connected to the classification comparison unit, and the classification comparison unit is connected to the output unit.

3. A transmission line image quality detection device according to claim 2, It is characterized in that The parameter setting module comprises a login unit, the login unit is connected to a parameter input unit, the parameter input unit is connected to a parameter confirmation unit, and the parameter confirmation unit is connected to a transmission unit.

4. A transmission line image quality detection device according to claim 3, It is characterized in that The parameter storage module comprises a parameter identification unit, the parameter identification unit is connected to a parameter classification unit, the parameter classification unit is connected to a parameter storage unit, and the parameter storage unit is connected to a parameter feedback unit.

5. A transmission line image quality detection device according to claim 4, It is characterized in that The quality judgment module comprises a comparison data analysis unit, the comparison data analysis unit is connected to the judgment unit, the judgment unit is connected to the difference type confirmation unit, and the difference type confirmation unit is connected to the sending unit.

6. A transmission line image quality detection device according to claim 5, It is characterized in that The image acquisition module acquires the image of the power transmission line, the positioning module locates the position of the acquired image, and the parameter extraction module extracts the features of the power transmission line image.

7. A transmission line image quality detection device according to claim 6, It is characterized in that The parameter identification module identifies the extracted features, the parameter classification module classifies the identified features, and the classification comparison module transmits the classified feature information to the extraction module.

8. A transmission line image quality detection device according to claim 7, It is characterized in that The extraction module extracts corresponding types of data from the parameter storage module according to the received data, compares the two after extraction, and the quality judgment module analyzes and judges the comparison data to determine whether there is any abnormality in the transmission line image quality.

9. A transmission line image quality detection device according to claim 8, It is characterized in that The data display module displays the abnormal data, the data storage module stores the abnormal data, the cause analysis module analyzes the cause of the abnormality, the optimization suggestion module makes optimization suggestions based on the cause of the abnormality, the execution module executes the optimization suggestions, and the parameter setting module sets normal parameter values ​​of different types of features.

10. A detection method for a power transmission line image quality detection device, wherein the power transmission line image quality detection device is a power transmission line image quality detection device according to any one of claims 1 to 9, It is characterized in that The following steps are involved: S1, the image acquisition module acquires the transmission line image, the positioning module locates the acquired image position, the parameter extraction module extracts the features of the transmission line image, the parameter recognition module recognizes the extracted features, the parameter classification module classifies the recognized features, and the classification comparison module transmits the classified feature information to the extraction module; S2, the extraction module extracts the corresponding type of data from the parameter storage module according to the received data, compares the two after extraction, and the quality judgment module analyzes and judges the comparison data to determine whether there is any abnormality in the quality of the transmission line image; S3. The data display module displays the abnormal data, the data storage module stores the abnormal data, the cause analysis module analyzes the cause of the abnormality, the optimization suggestion module proposes optimization suggestions based on the cause of the abnormality, the execution module executes the optimization suggestions, and the parameter setting module sets the normal parameter values ​​of different types of features.

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