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Unmanned aerial vehicle typesetting method, device and equipment and readable storage medium

A drone and machine matching technology, applied in the field of drones, can solve problems such as high cost, long R&D and production cycle, and difficult quality assurance

Active Publication Date: 2019-08-02
GUANGDONG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is difficult for humans to comprehensively summarize and accurately express a large amount of empirical knowledge and data
Therefore, the current UAV product design process adopts the trial and error method, relies on manual experience to select key components, and continuously corrects parameters through installation tests, resulting in long R&D and production cycles, high costs, and difficult quality assurance.

Method used

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  • Unmanned aerial vehicle typesetting method, device and equipment and readable storage medium
  • Unmanned aerial vehicle typesetting method, device and equipment and readable storage medium
  • Unmanned aerial vehicle typesetting method, device and equipment and readable storage medium

Examples

Experimental program
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Embodiment 1

[0054] Please refer to figure 1 , figure 1 It is a flow chart of a UAV matching method in the embodiment of the present invention, the method includes the following steps:

[0055] S101. Receive and analyze the drone matching request, and obtain the target product performance index.

[0056] In the embodiment of the present invention, a lookup correspondence table of functions (or functions) and performance indicators may be preset. The drone fit request may specifically include the function or role of the drone. For example, the drone matching request includes whether it has communication functions, positioning functions, camera functions, and temperature collection functions.

[0057] In this way, after receiving the drone matching request, the target product performance indicators can be determined based on the specific functions contained in it. Specifically, the corresponding lookup table shown in Table 1 may be used to determine the performance index of the target pr...

Embodiment 2

[0092] Corresponding to the above method embodiments, the embodiment of the present invention also provides a UAV matching device. The UAV matching device described below and the UAV matching method described above can be referred to in correspondence.

[0093] see figure 2 As shown, the device includes the following modules:

[0094] The target product performance index acquisition module 101 is used to receive and analyze the drone matching request, and obtain the target product performance index;

[0095] The target key component parameter acquisition module 102 is used to input the target product performance index into the target neural network model for matching to obtain the target key component parameter;

[0096] A target neural network model acquiring module 103, configured to acquire a target neural network model;

[0097] Among them, the target neural network model acquisition module includes:

[0098] A model creation unit for creating a neural network model; ...

Embodiment 3

[0111] Corresponding to the above method embodiment, the embodiment of the present invention also provides a UAV matching device, a UAV matching device described below and a UAV matching method described above can be mutually Corresponding reference.

[0112] see image 3 As shown, the UAV matching equipment includes:

[0113] memory D1 for storing computer programs;

[0114] The processor D2 is configured to implement the steps of the drone matching method in the above method embodiment when executing the computer program.

[0115] Specifically, please refer to Figure 4 , Figure 4 A specific structural diagram of a UAV matching equipment provided in this embodiment. The UAV matching equipment may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units) , CPU) 322 (eg, one or more processors) and memory 332, one or more storage media 330 (eg, one or more mass storage devices) for...

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Abstract

The invention discloses an unmanned aerial vehicle typesetting method which comprises the following steps: receiving and analyzing an unmanned aerial vehicle typesetting request to obtain a target product performance index; inputting the target product performance index into a target neural network model for typesetting to obtain a target key component parameter, wherein the acquisition process ofthe target neural network model comprises the following steps: creating a neural network model; obtaining typesetting knowledge, and creating a knowledge expression network by using the typesetting knowledge; obtaining training data for training the neural network model by using the knowledge expression network; and performing typesetting training on the neural network model by using the trainingdata to obtain a target neural network model. By applying the method, unmanned aerial vehicle matching can be automatically achieved without manual intervention, installation testing and parameter correction are not needed, the research and development period of an unmanned aerial vehicle product can be shortened, and the research and development cost is reduced. The invention further discloses an unmanned aerial vehicle matching device and equipment and a readable storage medium which have corresponding technical effects.

Description

technical field [0001] The present invention relates to the technical field of drones, in particular to a drone matching method, device, equipment and a readable storage medium. Background technique [0002] In an environment where the UAV market is changing and new UAV products are constantly emerging, the traditional method of UAV production faces great challenges due to over-reliance on experience and past cases. [0003] UAV matching is based on product performance indicators (or called functions or functions) to determine the key component parameters that make up the UAV. The performance indicators of UAV products are multi-dimensional and heterogeneous mass data information, and key components are produced by different manufacturers with different constraints such as model, price, quality, and life span. It is difficult for humans to comprehensively summarize and accurately express a large amount of empirical knowledge and data. Therefore, the current UAV product des...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/04G06N3/02
CPCG06N3/02G06Q10/06393G06Q50/04Y02P90/30
Inventor 鲁仁全刘芬张斌
Owner GUANGDONG UNIV OF TECH