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A method for automatic shifting of agricultural machinery based on deep learning

A deep learning, automatic shifting technology, applied in the field of agricultural machinery, can solve the problem of no tractor and so on

Active Publication Date: 2021-02-05
LUOYANG ZHONGKE LONGWANG INNOVATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the prior art related to the existing unmanned tractors, there is no related technology that can allow the tractor in operation to select the corresponding gear at the corresponding speed, so as to solve the problem that the user may have a problem with the tractor during the operation of the unmanned tractor. The speed can be set, so that the tractor can work better at the corresponding speed

Method used

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  • A method for automatic shifting of agricultural machinery based on deep learning
  • A method for automatic shifting of agricultural machinery based on deep learning
  • A method for automatic shifting of agricultural machinery based on deep learning

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Embodiment Construction

[0019] The present invention can be explained in more detail by the following examples, and the purpose of disclosing the present invention is intended to protect all changes and improvements within the scope of the present invention, and the present invention is not limited to the following examples;

[0020] In conjunction with the first step described in the accompanying drawings, start the stationary tractor;

[0021] The second step is to use various sensors to collect current environmental data information;

[0022] The third step is to compare the information collected by the sensor with all the data contained in the database to determine whether there is a similar environment. If so, directly use the coping strategy based on deep learning to adjust the vehicle gear to carry out the work until it is completed. If there is no similar data, the vehicle will be started in first gear by default;

[0023] The fourth step is to measure all the resistances that the tractor is...

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Abstract

A method for realizing automatic shifting of agricultural machinery based on deep learning described in the present invention, through the mutual combination of deep learning and automatic shifting system, can complete the deep unmanned under intelligent operation scenarios, automatic shifting system and external sensors Each item of data provided is the training path of the deep learning network, and the continuous learning and evolution of the deep learning module will in turn predict the judgment of the gear and the interpretation of the speed. Under the correct guidance of humans, through the automatic learning of deep learning The shift module will provide great convenience for unmanned operation.

Description

Technical field: [0001] The invention relates to the field of agricultural machinery, in particular to a method for realizing automatic shifting of agricultural machinery based on deep learning. Background technique: [0002] With the development of social economy and the advancement of modern science and technology, the pace of agricultural reform is also increasing, and the development process of agricultural machinery automation is also gradually accelerating. At present, the development of global agriculture is facing a relatively severe form, so both at home and abroad attach great importance to increasing investment in science and technology to promote the progress of agricultural machinery automation. [0003] As one of the important agricultural machinery, tractor is the power to realize various mechanized operations. However, under normal circumstances, when the tractor unit works in a harsh environment, due to the complex and changeable working conditions and the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W10/10B60W50/00
CPCB60W10/10B60W50/00
Inventor 万忠政吴卿岩陈家玉
Owner LUOYANG ZHONGKE LONGWANG INNOVATION TECH CO LTD