CN108055003B - Unmanned aerial vehicle independently patrols and examines device based on two light intelligent loads - Google Patents
Unmanned aerial vehicle independently patrols and examines device based on two light intelligent loads Download PDFInfo
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- CN108055003B CN108055003B CN201711000818.3A CN201711000818A CN108055003B CN 108055003 B CN108055003 B CN 108055003B CN 201711000818 A CN201711000818 A CN 201711000818A CN 108055003 B CN108055003 B CN 108055003B
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- aerial vehicle
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- 230000005540 biological transmission Effects 0.000 claims abstract description 15
- 238000007689 inspection Methods 0.000 claims abstract description 14
- 238000003384 imaging method Methods 0.000 claims abstract description 11
- 230000000087 stabilizing effect Effects 0.000 claims abstract description 3
- 230000000007 visual effect Effects 0.000 claims description 4
- 230000003416 augmentation Effects 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 claims description 2
- 238000013024 troubleshooting Methods 0.000 claims 1
- 239000002131 composite material Substances 0.000 abstract description 2
- 238000011835 investigation Methods 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000003331 infrared imaging Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
- H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
- H02S50/15—Testing of PV devices, e.g. of PV modules or single PV cells using optical means, e.g. using electroluminescence
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/0202—Control of position or course in two dimensions specially adapted to aircraft
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
- H02J50/10—Circuit arrangements or systems for wireless supply or distribution of electric power using inductive coupling
- H02J50/12—Circuit arrangements or systems for wireless supply or distribution of electric power using inductive coupling of the resonant type
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Power Engineering (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
Abstract
The invention discloses an unmanned aerial vehicle autonomous inspection device based on a double-light intelligent load, which comprises an unmanned aerial vehicle platform, and further comprises: the double-light-band cradle head is arranged at the lower part of the unmanned aerial vehicle platform and is used for stabilizing the imaging load of the platform; the data transmission module is arranged in the middle of the unmanned aerial vehicle platform; and the intelligent terminal module is arranged on the upper part of the unmanned aerial vehicle. The invention adopts the GPS and image composite positioning, and has the advantages of high positioning precision of the solar panel, convenient investigation and non-contact autonomous charging.
Description
Technical Field
The invention relates to the technical field of intelligent hardware, in particular to an unmanned aerial vehicle autonomous inspection device based on double-light intelligent load.
Background
With the market demand and government promotion of the green energy industry, the photovoltaic industry is rapidly developed, the photovoltaic power station is often built in remote areas, the personnel are rare, the building area is huge, so that the inspection is difficult, the inspection mode of the photovoltaic facility by using the unmanned aerial vehicle is improved in recent years, and the operation and analysis of people still exist.
The fault points of the solar panel and the equipment can be well detected by adopting an infrared passive mode, however, the infrared video has the defects of low resolution and no chrominance information, and the intelligent device depends on thermal difference distribution, so that the device does not have too much object detail information.
Unmanned aerial vehicle operation generally requires specialized trained personnel to operate, and in addition, the data after infrared detection also requires personnel with certain experience to judge specific fault reasons and obtain fault resolution modes.
In the inspection process, the large-area solar panel is positioned, the specific position of the damaged solar panel can be found out, the traditional unmanned aerial vehicle uses GPS positioning, the positioning precision is insufficient for positioning the solar panel, and extra difficulty is formed for positioning and inspection.
Another reason that unmanned aerial vehicle inspection process can't realize full unmanned is that unmanned aerial vehicle's time of flight after single charge or oil charge is shorter, and charge or oil transportation process can't realize unmanned, need the personnel to participate in.
Disclosure of Invention
The invention aims to solve the technical problems of overcoming the defects of the prior art, and provides an unmanned aerial vehicle autonomous inspection device based on a double-light intelligent load, which comprises an unmanned aerial vehicle platform, and the device further comprises:
The imaging load of the visible light and infrared double-light-band cradle head and the stabilizing platform is arranged at the lower part of the unmanned aerial vehicle platform;
The data transmission module is arranged in the middle of the unmanned aerial vehicle platform;
And the intelligent terminal module is arranged on the upper part of the unmanned aerial vehicle.
Preferably, the apparatus further comprises a wireless charging module based on magnetic resonance.
Preferably, the wireless charging module specifically includes a battery and a battery wireless charging receiver.
Preferably, the imaging load of the sightseeing zone cradle head and the stabilized platform specifically comprises a thermal infrared imager, a visible light camera, a triaxial cradle head and a stability augmentation device.
Preferably, the data transmission module specifically includes a data transmission circuit board and a data transmission antenna.
Preferably, the device automatically returns to the home through the intelligent terminal and is charged in an autonomous wireless manner through the wireless charging module.
Preferably, the intelligent terminal performs accurate navigation in a mode of combining an electronic map, a GPS and visual navigation, and identifies the position and the number of the solar panel.
Preferably, the intelligent terminal directly analyzes specific information of the damaged solar panel.
Compared with the prior art, the unmanned aerial vehicle autonomous inspection device based on the double-light intelligent load has the following advantages: the method provides fusion recognition and visual navigation of infrared light and visible light, and simultaneously realizes fault detection, fault analysis and fault processing decision based on artificial intelligence.
In addition, another problem that unmanned aerial vehicle big factory inspection exists is the restriction in unmanned aerial vehicle's flight time, and when unmanned aerial vehicle electric quantity is not enough, need return to the journey to change the battery or refuel, there is a lot of inconvenience. A wireless charging mode is used, so that the unmanned aerial vehicle can return to the navigation independently for charging.
Drawings
Fig. 1 is a structural diagram of the present invention.
Detailed Description
For clarity of explanation of the aspects of the present invention, preferred embodiments are given below in detail with reference to the accompanying drawings. The following description is merely exemplary in nature and is not intended to limit the application or uses of the present disclosure. It should be understood that throughout the drawings, corresponding reference numerals indicate like or corresponding parts and features.
As shown in fig. 1. The utility model provides an unmanned aerial vehicle independently patrols and examines device based on two light intelligent loads, includes unmanned aerial vehicle platform 2, adopts electric drive mode, has the load that is greater than 2 kg.
The imaging load 1 is arranged at the lower part of the unmanned aerial vehicle platform and is provided with a visible light and infrared double-light-band cradle head and a stable platform; the imaging load of the sightseeing zone cradle head and the stabilized platform specifically comprises a thermal infrared imager, a visible light camera, a triaxial cradle head and a stability augmentation device. The double light is the combination collection of a visible light camera and an infrared camera, the position of the photovoltaic panel is identified and positioned by using the visible light, and the infrared camera is used for collecting and analyzing the heat distribution of the photovoltaic panel and is used for analyzing the damage condition. The dual-band imaging load comprises an uncooled infrared imaging unit, a visible light imaging unit and an anti-shake electronic cradle head. The infrared resolution of the dual-band imaging load is 640×480, and the resolution of visible light is 1920×1080 or more.
The data transmission module 4 is arranged in the middle of the unmanned aerial vehicle platform; the data transmission module specifically comprises a data transmission circuit board and a data transmission antenna. And transmitting and collecting image information, and damaging an analysis result of the photovoltaic panel and the physical position of the photovoltaic panel.
And the intelligent terminal module 3 is arranged on the upper part of the unmanned aerial vehicle. The device automatically returns to the home through the intelligent terminal and is charged in an autonomous wireless manner through the wireless charging module. The intelligent terminal carries out accurate navigation in a mode of fusing an electronic map, a GPS and visual navigation, and identifies the position and the number of the solar panel. And the intelligent terminal directly analyzes and obtains the specific information of the damaged solar panel. And infrared is used for analyzing the damage condition and the damage reason of the solar panel. And collecting the image, analyzing to obtain the position and damage analysis of the photovoltaic panel, giving out the physical position, and sending out the result through a transmission module. The GPS performs regional positioning, and the visible light camera performs counting after the identification of the photovoltaic panel, and then accurately positions the position of the line and the column. Typical failures include damage to the photovoltaic diodes, connection failures, internal damage to the battery, and the solution is to damage the components based on the damage condition and the different replacement of the components. In summary, the intelligent terminal collects the image of the infrared characteristic, identifies the object through deep learning, completes fault investigation, fault analysis and fault processing decision, stores the analysis result and the collected image into the storage space inside the terminal, and simultaneously transmits the data to the workstation and the service center through the data transmission unit, and the data is reserved and displayed at the workstation and is centrally managed at the service center.
The device further comprises a wireless charging module 5. The wireless charging module specifically comprises a battery and a battery wireless charging receiver. The wireless charging module uses a magnetic resonance wireless charging mode, and can charge the unmanned aerial vehicle with high efficiency at a certain distance.
And combining the double-light imaging load with the intelligent terminal, realizing the composite accurate positioning of visible light and GPS, identifying the photovoltaic equipment by a machine vision method and corresponding to the unique identification number of the equipment, performing fault elimination, and giving out a solution strategy. In addition, the unmanned aerial vehicle platform is provided with a wireless charging device, and the intelligent terminal detects electric quantity, so that autonomous return charge and autonomous task planning can be realized.
In summary, the foregoing is provided merely for illustrating the principles of the present invention and is not intended to limit the scope of the invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. Unmanned aerial vehicle autonomous inspection device based on double-light intelligent load for inspecting solar panel, comprising an unmanned aerial vehicle platform, and characterized in that, the device further comprises:
The imaging load of the visible light and infrared double-light-band cradle head and the stabilizing platform is arranged at the lower part of the unmanned aerial vehicle platform;
The data transmission module is arranged in the middle of the unmanned aerial vehicle platform;
The intelligent terminal module is arranged at the upper part of the unmanned aerial vehicle;
The imaging load of the dual-optical-band cradle head and the stable platform specifically comprises a thermal infrared imager, a visible light camera, a triaxial cradle head and a stability augmentation device; the visible light camera is used for identifying and positioning the position of the photovoltaic panel; the infrared camera is used for collecting and analyzing the heat distribution of the photovoltaic panel and analyzing the damage condition;
The data transmission module specifically comprises a data transmission circuit board and a data transmission antenna, and is used for transmitting and collecting image information, a photovoltaic panel damage analysis result and a physical position of the photovoltaic panel;
The intelligent terminal performs accurate navigation in a mode of combining an electronic map, a GPS and visual navigation, and identifies the position and the number of the solar panel; the GPS performs regional positioning, the visible light camera video performs recognition and counting of the photovoltaic panel and then precisely positions the position of the line and the column, the intelligent terminal acquires images of infrared characteristics, the object is recognized through deep learning, fault troubleshooting, fault analysis and fault processing decision making are completed, and analysis results and acquired images are stored in a storage space in the terminal;
the intelligent terminal directly analyzes and obtains specific information of the damaged solar panel.
2. The unmanned aerial vehicle autonomous inspection device based on double-light intelligent load for inspecting a solar panel according to claim 1, wherein: the apparatus further comprises a wireless charging module based on magnetic resonance.
3. The unmanned aerial vehicle autonomous inspection device based on double-light intelligent load for inspecting a solar panel according to claim 2, wherein: the wireless charging module specifically comprises a battery and a battery wireless charging receiver.
4. The unmanned aerial vehicle autonomous inspection device based on double-light intelligent load for inspecting a solar panel according to claim 2, wherein: the device automatically returns to the home through the intelligent terminal and is charged in an autonomous wireless manner through the wireless charging module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201711000818.3A CN108055003B (en) | 2017-10-24 | 2017-10-24 | Unmanned aerial vehicle independently patrols and examines device based on two light intelligent loads |
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| CN201711000818.3A CN108055003B (en) | 2017-10-24 | 2017-10-24 | Unmanned aerial vehicle independently patrols and examines device based on two light intelligent loads |
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| Publication Number | Publication Date |
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| CN108055003A CN108055003A (en) | 2018-05-18 |
| CN108055003B true CN108055003B (en) | 2024-11-08 |
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Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109630905A (en) * | 2019-01-25 | 2019-04-16 | 电子科技大学 | A kind of full intelligent inspection system of oil-gas pipeline based on unmanned aerial vehicle remote sensing and deep learning |
| CN111490491A (en) * | 2020-04-30 | 2020-08-04 | 国网上海市电力公司 | Ultra-high voltage transmission line inspection unmanned aerial vehicle based on deep learning |
| CN112762936B (en) * | 2020-12-24 | 2022-03-15 | 中国人民解放军军事科学院国防科技创新研究院 | Multi-source positioning information fusion method applied to long-endurance unmanned aerial vehicle load |
| CN114186649A (en) * | 2021-12-02 | 2022-03-15 | 南京和电科技有限公司 | Intelligent routing inspection positioning method and system |
| CN114373137B (en) * | 2021-12-28 | 2024-07-02 | 安徽省大气探测技术保障中心 | Precipitation type weather identification system based on intelligent identification technology |
| CN114756037B (en) * | 2022-03-18 | 2023-04-07 | 广东汇星光电科技有限公司 | Unmanned aerial vehicle system based on neural network image recognition and control method |
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