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Solar fault diagnosis method for unmanned aerial vehicle automatic charging station

An automatic charging and fault diagnosis technology, applied in the field of solar power generation, can solve problems such as faults, reduce workload and improve reliability

Active Publication Date: 2020-04-17
国网思极位置服务有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the service station is installed outdoors and has been exposed to the sun and rain for a long time. As the roof of the service station, the solar battery array is in direct contact with the external environment, which is prone to program failures.

Method used

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  • Solar fault diagnosis method for unmanned aerial vehicle automatic charging station
  • Solar fault diagnosis method for unmanned aerial vehicle automatic charging station
  • Solar fault diagnosis method for unmanned aerial vehicle automatic charging station

Examples

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Embodiment Construction

[0040] Such as Figure 1-2 As shown, a solar energy fault diagnosis method for an automatic charging station for an unmanned aerial vehicle, the power supply assembly of the charging station 10 includes a combiner box 8, and the combiner box is connected to the power output end of the power generation branch 1 to converge the power generation branch The electric energy of the inner solar cell array; the power output end of the power generation branch is provided with a current Hall sensor 12 for collecting the voltage signal U of the power generation branch; the current Hall sensor is connected with the data acquisition center to upload the power generation branch The voltage signal U of the data acquisition center 11, the micro control unit of the data acquisition center 11 restores the voltage signal U to the output current value I of the power generation branch and the output voltage U of the power generation branch by the data bit rate conversion method 0The data center es...

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Abstract

The invention provides a solar fault diagnosis method for an automatic charging station of an unmanned aerial vehicle, the power supply assembly of the charging station comprises a combiner box, the combiner box is connected with a power generation branch, and a current Hall sensor used for collecting the voltage signal U of the power generation branch is arranged at the power output end of the power generation branch; the current Hall sensor is connected with the data acquisition center to upload the voltage signal U of the power generation branch, and the micro-control unit of the data acquisition center restores the voltage signal U into the output current value of the power generation branch and the output voltage of the power generation branch by adopting a data bit rate conversion method; the data center establishes a solar cell array voltage-current data model according to the output current value and the output voltage of the power generation branch, calls an extreme learning machine algorithm to analyze the data, and performs fault diagnosis evaluation on the working condition of the solar cell array. According to the invention, whether the solar cell array is in a normalstate or fails can be judged by detecting the condition of the data of the solar cell array.

Description

technical field [0001] The invention relates to the technical field of solar power generation, in particular to a solar fault diagnosis method for an unmanned aerial vehicle automatic charging station. Background technique [0002] At this stage, the main factor limiting the further development of UAVs comes from its endurance. Most drones are powered by batteries, and their battery life is limited. In order to increase their battery life, some drones use the method of increasing the battery, but increasing the weight of the drone does not solve the problem of short battery life. better solution. In the current research, many companies and research institutions have designed UAV service stations, such as "A Remote Service Station for Multi-rotor Aircraft", application number: CN201820592352. The autonomous power supply of the drone improves the battery life of the drone. [0003] The UAV service station is usually placed outdoors, and the solar cell array is used to power...

Claims

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Application Information

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IPC IPC(8): H02S50/10H02J7/35
CPCH02J7/35H02S50/10Y02E10/50
Inventor 臧志斌傅宁马军夏传福吴小鸥
Owner 国网思极位置服务有限公司
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