Unmanned aerial vehicle image intelligent matching identification detection device and use method thereof

Abstract

The invention belongs to the technical field of unmanned aerial vehicle image intelligent matching recognition, particularly relates to an unmanned aerial vehicle image intelligent matching recognition detection device and a use method thereof, and provides the following scheme aiming at the problem that in the prior art, when an unmanned aerial vehicle is overhauled, remote control cannot be quickly utilized for processing, and the unmanned aerial vehicle image intelligent matching recognition detection device comprises the unmanned aerial vehicle and a control terminal, the control terminal is connected with a wireless transmission module, the wireless transmission module is connected with a data acquisition module, the data acquisition module is connected with a video recording module, the video recording module is a camera, the camera is arranged on the unmanned aerial vehicle, the control terminal is connected with a display module and a power supply module, and the power supply module is connected with a standby power supply module. The control terminal is provided with a processing system, the processing system comprises a database module, and the database module is connected with an account module. The device is simple in structure, can be remotely controlled and operated, can more quickly handle the maintenance work, and is convenient for people to use.

Description

Technical Field

[0001] The present invention relates to the technical field of drone image intelligent matching and recognition, and in particular to a drone image intelligent matching and recognition detection device and a use 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. With the advancement of technology, drone systems can be used for the maintenance of high-altitude transmission lines. At this time, drone image intelligent matching and recognition detection devices are required to match and identify the images taken by the drone to find faults and perform maintenance work.

[0003] In the prior art, when a drone is performing maintenance work, it is impossible to quickly use remote control to handle it. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcoming in the prior art that drones cannot be quickly processed by remote control during maintenance work, and to propose a drone image intelligent matching and recognition detection device and a method of using the same.

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

[0006] A device for intelligent matching, identification and detection of unmanned aerial vehicle images comprises an unmanned aerial vehicle and a control terminal, wherein the control terminal is connected to a wireless transmission module, the wireless transmission module is connected to a data acquisition module, the data acquisition module is connected to a recording module, the recording module is a camera, and the camera is arranged on the unmanned aerial vehicle, the control terminal is connected to a display module and a power module, the power module is connected to a backup power module, the control terminal is provided with a processing system, the processing system comprises a database module, the database module is connected to an account module, the database module is connected to a data identification module and a data classification module, the data identification module is connected to a deletion module, the deletion module is connected to a recycling bin module, and the data classification module is connected to a storage module.

[0007] Preferably, the data classification module is connected to a feature classification module, a classification comparison module and a storage module, and after extracting and comparing the features of the collected data and the data in the database, the data are classified and stored.

[0008] Preferably, the power module is connected to a power estimation module and a power switching module, the power estimation module is connected to a practical comparison module, and the practical comparison module is connected to an automatic determination module. The power estimation module estimates the power usage time, compares it with previously stored data, and then automatically determines and chooses to switch the power supply.

[0009] Preferably, the recycling bin module is connected to an identification and classification module and a storage module, and the recycling bin module collects deleted data.

[0010] Preferably, the recognition and classification module is connected to a video classification module and a picture classification module, the video classification module and the picture classification module are respectively connected to a video module and a picture module, and the storage module is connected to a periodic temporary storage module and an automatic cleaning module.

[0011] A method for using a drone image intelligent matching recognition detection device comprises the following steps:

[0012] S1: Start or shut down the power module through remote control;

[0013] S2: Collect on-site data using the camera module of the drone, and then log in to the database using the account and password;

[0014] S3: extract and compare data features through the data recognition module and data classification module in the processing system, and then automatically classify and store them;

[0015] S4: The deleted data goes into the recycle bin, and the videos and pictures are classified using recognition and classification;

[0016] S5: The classified data can be automatically saved for seven days. Data older than seven days will be cleared using the automatic cleanup module.

[0017] S6: After the control terminal has been used for a period of time, the power estimation module is used to estimate the usable time of the power supply, and then the usable time is automatically determined after comparison with previous data.

[0018] S7: When the power supply is insufficient, the power switching module is used to automatically switch to the backup power supply.

[0019] Preferably, the collected data in S2 and S3 is logged into the database through the account and password, and then transmitted to the processing system of the control terminal using the wireless transmission module. At the same time, the data identification module first extracts the collected data and the data features in the database, compares them after extraction, and then stores them in corresponding categories in sequence.

[0020] Preferably, the deleted data in S4 is automatically classified into video and picture categories to facilitate search and extraction in a short time.

[0021] Preferably, the data in the recycle bin in S5 can be automatically saved for seven days, and the data after seven days will be automatically cleaned up by the cleaning module in turn, so that it cannot be retrieved.

[0022] Preferably, the power estimation module in S6 and S7 estimates the usable time of the power supply, and displays it on the display module. The automatic determination module then automatically determines the usable time after comparing it with previous data. When the power supply is insufficient, the power switching module automatically switches to the backup power supply to avoid delays in detection.

[0023] Beneficial effects of a drone image intelligent matching recognition and detection device:

[0024] Since the power estimation module is set up, the usable time of the power supply can be estimated and displayed by the display module. The usable time can be automatically determined by comparing with the previous data by the automatic determination module. When the power supply is insufficient, the power switching module automatically switches to the backup power supply to avoid delaying the detection work.

[0025] The invention has a simple structure and can be controlled by remote control, so that maintenance work can be handled more quickly and it is convenient for people to use. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a block diagram of the working principle of a drone image intelligent matching, recognition and detection device proposed by the present invention;

[0027] Figure 2 This is a block diagram of the working principle of a processing system of a drone image intelligent matching, recognition and detection device proposed by the present invention;

[0028] Figure 3 This is a block diagram of the working principle of a data classification module of a drone image intelligent matching and recognition detection device proposed by the present invention;

[0029] Figure 4 This is a block diagram of the working principle of a power module of a drone image intelligent matching, recognition and detection device proposed by the present invention;

[0030] Figure 5 This is a block diagram of the working principle of the recycling bin module of the drone image intelligent matching, recognition and detection device proposed by the present invention. DETAILED DESCRIPTION

[0031] The technical solution of this embodiment will be clearly and completely described below in conjunction with the drawings in this embodiment. Obviously, the described embodiment is only a part of this embodiment, rather than all of the embodiments.

[0032] Embodiment 1

[0033] Reference Figure 1-Figure 5A drone image intelligent matching recognition and detection device includes a drone and a control terminal, the control terminal is connected to a wireless transmission module, the wireless transmission module is connected to a data acquisition module, the data acquisition module is connected to a recording module, the recording module is a camera, the camera is arranged on the drone, the control terminal is connected to a display module and a power module, the power module is connected to a backup power module, the control terminal is provided with a processing system, the processing system includes a database module, the database module is connected to an account module, the database module is connected to a data identification module and a data classification module, the data identification module is connected to a deletion module, the deletion module is connected to a recycle bin module, and the data classification module is connected to a storage module.

[0034] In this embodiment, the data classification module is connected to a feature classification module, a classification comparison module and a storage module, and after the features of the collected data and the data in the database are extracted and compared, they are classified and stored.

[0035] In this embodiment, the power module is connected to a power estimation module and a power switching module. The power estimation module is connected to a practical comparison module. The practical comparison module is connected to an automatic determination module. The power estimation module estimates the power usage time and compares it with previously stored data. After automatic determination, it chooses to switch the power supply.

[0036] In this embodiment, the recycling bin module is connected to the identification and classification module and the storage module, and the recycling bin module collects deleted data.

[0037] In this embodiment, the recognition classification module is connected to a video classification module and a picture classification module, the video classification module and the picture classification module are respectively connected to a video module and a picture module, and the storage module is connected to a periodic temporary storage module and an automatic cleaning module.

[0038] A method for using a drone image intelligent matching recognition detection device comprises the following steps:

[0039] S1: Start or shut down the power module through remote control;

[0040] S2: Collect on-site data using the camera module of the drone, and then log in to the database using the account and password;

[0041] S3: extract and compare data features through the data recognition module and data classification module in the processing system, and then automatically classify and store them;

[0042] S4: The deleted data goes into the recycle bin, and the videos and pictures are classified using recognition and classification;

[0043] S5: The classified data can be automatically saved for seven days. Data older than seven days will be cleared using the automatic cleanup module.

[0044] S6: After the control terminal has been used for a period of time, the power estimation module is used to estimate the usable time of the power supply, and then the usable time is automatically determined after comparison with previous data.

[0045] S7: When the power supply is insufficient, the power switching module is used to automatically switch to the backup power supply.

[0046] In this embodiment, the collected data in S2 and S3 are logged into the database through the account and password, and then transmitted to the processing system of the control terminal using the wireless transmission module. At the same time, the data identification module first extracts the collected data and the data features in the database, compares them after extraction, and then stores them in corresponding categories in sequence.

[0047] In this embodiment, the deleted data is automatically classified into video and picture categories in S4 to facilitate search and extraction in a short time.

[0048] In this embodiment, the data in the recycle bin in S5 can be automatically saved for seven days, and the data after seven days will be automatically cleaned up by the cleaning module in turn and cannot be retrieved.

[0049] In this embodiment, the power estimation module in S6 and S7 estimates the usable time of the power supply, which is displayed by the display module. The automatic determination module then compares the estimated usable time with previous data. When the power supply is insufficient, the power switching module automatically switches to the backup power supply to avoid delays in detection.

[0050] Embodiment 2

[0051] Reference Figure 1-Figure 5 A drone image intelligent matching recognition and detection device includes a drone and a control terminal, the control terminal is connected to a wireless transmission module, the wireless transmission module is connected to a data acquisition module, the data acquisition module is connected to a recording module, the recording module is a camera, the camera is arranged on the drone, the control terminal is connected to a display module and a power module, the power module is connected to a backup power module, the control terminal is provided with a processing system, the processing system includes a database module, the database module is connected to an account module, the database module is connected to a data identification module and a data classification module, the data identification module is connected to a deletion module, the deletion module is connected to a recycle bin module, and the data classification module is connected to a storage module.

[0052] In this embodiment, the data classification module is connected to a feature classification module, a classification comparison module and a storage module, and after the features of the collected data and the data in the database are extracted and compared, they are classified and stored.

[0053] In this embodiment, the power module is connected to a power estimation module and a power switching module. The power estimation module is connected to a practical comparison module. The practical comparison module is connected to an automatic determination module. The power estimation module estimates the power usage time and compares it with previously stored data. After automatic determination, it chooses to switch the power supply.

[0054] In this embodiment, the recycling bin module is connected to the identification and classification module and the storage module, and the recycling bin module collects deleted data.

[0055] In this embodiment, the recognition classification module is connected to a video classification module and a picture classification module, the video classification module and the picture classification module are respectively connected to a video module and a picture module, and the storage module is connected to a periodic temporary storage module and an automatic cleaning module.

[0056] A method for using a drone image intelligent matching recognition detection device comprises the following steps:

[0057] S1: Start or shut down the power module through remote control;

[0058] S2: Collect on-site data using the camera module of the drone, and then log in to the database using the account and password;

[0059] S3: extract and compare data features through the data recognition module and data classification module in the processing system, and then automatically classify and store them;

[0060] S4: The deleted data goes into the recycle bin, and the videos and pictures are classified using recognition and classification;

[0061] S5: The classified data can be automatically saved for seven days. Data older than seven days will be cleared using the automatic cleanup module.

[0062] S6: After the control terminal has been used for a period of time, the power estimation module is used to estimate the usable time of the power supply, and then the usable time is automatically determined after comparison with previous data.

[0063] S7: When the power supply is insufficient, the power switching module is used to automatically switch to the backup power supply.

[0064] In this embodiment, the collected data in S2 and S3 are logged into the database through the account and password, and then transmitted to the processing system of the control terminal using the wireless transmission module. At the same time, the data identification module first extracts the collected data and the data features in the database, compares them after extraction, and then stores them in corresponding categories in sequence.

[0065] In this embodiment, the deleted data is automatically classified into video and picture categories in S4 to facilitate search and extraction in a short time.

[0066] In this embodiment, the data in the recycle bin in S5 can be automatically saved for seven days, and the data after seven days will be automatically cleaned up by the cleaning module in turn and cannot be retrieved.

[0067] In this embodiment, the power estimation module in S6 and S7 estimates the usable time of the power supply, which is displayed by the display module. The automatic determination module then compares the estimated usable time with previous data. When the power supply is insufficient, the power switching module automatically switches to the backup power supply to avoid delays in detection.

[0068] In this embodiment, a temperature sensing module and a heat dissipation module are connected to the power module.

[0069] The difference between this embodiment and the first embodiment is that when the temperature sensing module senses that the temperature of the power module is too high, the heat dissipation module dissipates the heat.

[0070] Embodiment 3

[0071] In this embodiment, the recording module is connected to a recording fault module, the recording fault module is connected to an automatic resolution determination module and an alarm module, and the automatic resolution determination module is connected to an extraction and comparison module.

[0072] The difference between this embodiment and the second embodiment is that: when recording, the extraction and comparison module is used to extract the resolution of the previously stored data and compare it with the resolution of the recording module currently recording, and automatically determine whether the resolution of the stored data is reached. If it is not reached, the alarm module starts to alarm and remind. All structures in this application can be selected according to the actual usage conditions. The accompanying drawings are all schematic structural diagrams, and the specific actual dimensions can be appropriately adjusted.

[0073] The above description is only a preferred specific implementation manner of this embodiment, but the protection scope of this embodiment 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 this embodiment within the technical scope disclosed in this embodiment, and they should be covered by the protection scope of this embodiment.

Claims

1. A drone image intelligent matching recognition detection device, comprising a drone and a control terminal, characterized in that: The control terminal is connected to a wireless transmission module, the wireless transmission module is connected to a data acquisition module, the data acquisition module is connected to a recording module, the recording module is a camera, the camera is arranged on the drone, the control terminal is connected to a display module and a power module, the power module is connected to a backup power module, the control terminal is provided with a processing system, the processing system includes a database module, the database module is connected to an account module, the database module is connected to a data identification module and a data classification module, the data identification module is connected to a deletion module, the deletion module is connected to a recycling bin module, and the data classification module is connected to a storage module.

2. The intelligent matching and recognition detection device for drone images according to claim 1 is characterized in that: The data classification module is connected to a feature classification module, a classification comparison module and a storage module, and after the features of the collected data and the data in the database are extracted and compared, they are classified and stored.

3. The intelligent matching and recognition detection device for drone images according to claim 1 is characterized in that: The power module is connected to a power estimation module and a power switching module. The power estimation module is connected to a practical comparison module. The practical comparison module is connected to an automatic determination module. The power estimation module estimates the power usage time, compares it with previously stored data, and then automatically determines and chooses to switch the power supply.

4. The intelligent matching and recognition detection device for drone images according to claim 1 is characterized in that: The recycling bin module is connected to an identification and classification module and a storage module, and the recycling bin module collects deleted data.

5. The intelligent matching and recognition detection device for drone images according to claim 4 is characterized in that: The recognition and classification module is connected to a video classification module and a picture classification module, the video classification module and the picture classification module are respectively connected to a video module and a picture module, and the storage module is connected to a regular temporary storage module and an automatic cleaning module.

6. A method for using a drone image intelligent matching recognition detection device, wherein the drone image intelligent matching recognition detection device is a drone image intelligent matching recognition detection device as claimed in any one of claims 1 to 5, characterized in that: The following steps are involved: S1: Start or shut down the power module through remote control; S2: Collect on-site data using the camera module of the drone, and then log in to the database using the account and password; S3: extract and compare data features through the data recognition module and data classification module in the processing system, and then automatically classify and store them; S4: The deleted data goes into the recycle bin, and the videos and pictures are classified using recognition and classification; S5: The classified data can be automatically saved for seven days. Data older than seven days will be cleared using the automatic cleanup module. S6: After the control terminal has been used for a period of time, the power estimation module is used to estimate the usable time of the power supply, and then the usable time is automatically determined after comparison with previous data; S7: When the power supply is insufficient, the power switching module is used to automatically switch to the backup power supply.

7. The method for using the drone image intelligent matching recognition detection device according to claim 6 is characterized in that: In S2 and S3, the collected data is logged into the database through the account and password, and then transmitted to the processing system of the control terminal using the wireless transmission module. At the same time, the data recognition module first extracts the collected data and the data features in the database, compares them after extraction, and then stores them in corresponding categories in sequence.

8. The method for using the drone image intelligent matching recognition detection device according to claim 6 is characterized in that: The deleted data in S4 is automatically classified into video and picture categories to facilitate search and extraction in a short time.

9. The method for using the drone image intelligent matching recognition detection device according to claim 6, characterized in that: The data in the recycle bin in S5 can be automatically saved for seven days, and the data after seven days will be automatically cleaned up by the cleaning module in turn, so that it cannot be retrieved.

10. The method for using the drone image intelligent matching recognition detection device according to claim 6, characterized in that: The power estimation module in S6 and S7 estimates the usable time of the power supply, and displays it on the display module. The automatic determination module then automatically determines the usable time after comparing it with previous data. When the power supply is insufficient, the power switching module automatically switches to the backup power supply to avoid delaying the detection work.

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