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Unmanned aerial vehicle data acquisition method and related equipment

A technology of data collection and unmanned aerial vehicles, applied in the field of communication, can solve the problems of excessive power consumption of nodes, poor stability of multi-hop communication connections, etc.

Active Publication Date: 2020-10-09
RESEARCH INSTITUTE OF TSINGHUA UNIVERSITY IN SHENZHEN +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The problem with this data collection method is that each sensor not only needs to transmit its own data, but also needs to transfer the data of other nodes, which will cause the power consumption of the nodes to be too fast, and the stability of the multi-hop communication connection is also poor.
There is currently no way to solve the problem of drones taking into account path planning and charging at the same time during data collection

Method used

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  • Unmanned aerial vehicle data acquisition method and related equipment
  • Unmanned aerial vehicle data acquisition method and related equipment
  • Unmanned aerial vehicle data acquisition method and related equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0095] figure 1 It is a flow chart of the UAV data collection method provided by Embodiment 1 of the present invention. The drone data collection method is applied to computer equipment. The UAV data collection method controls the rechargeable UAV to collect data from the sensor network, so as to ensure the shortest data collection time of the UAV and ensure that the UAV can be charged in time.

[0096] Such as figure 1 Shown, described unmanned aerial vehicle data acquisition method comprises:

[0097] 101. Obtain the current status information of the drone, where the status information includes the percentage of data collected by each sensor in the sensor network, the current location of the drone, and the remaining power of the drone.

[0098] The current state information of the UAV can be recorded as s t ,s t =(cr t ,p t ,e t ), in is the percentage of data collected by each sensor in the sensor network, N is the number of sensors in the sensor network, p ...

Embodiment 2

[0165] figure 2 It is a structural diagram of the UAV data acquisition device provided by Embodiment 2 of the present invention. The UAV data collection device 20 is applied to computer equipment. The UAV data collection device 40 controls the rechargeable UAV to collect data from the sensor network, so as to ensure the shortest time for UAV data collection and to ensure that the UAV can be charged in time.

[0166] Such as figure 2 As shown, the UAV data collection device 20 may include an acquisition module 201 , a planning module 202 , a determination module 203 , an execution module 204 , and a judgment module 205 .

[0167] The obtaining module 201 is used to obtain the current state information of the UAV, and the state information includes the percentage of data collected by each sensor in the sensor network, the current position of the UAV, and the remaining power of the UAV.

[0168] The current state information of the UAV can be recorded as s t ,s t =(cr t ,...

Embodiment 3

[0232] This embodiment provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above-mentioned embodiment of the drone data collection method are implemented, for example figure 1 101-106 as shown:

[0233] 101. Obtain the current status information of the drone, where the status information includes the percentage of data collected by each sensor in the sensor network, the current position of the drone, and the remaining power of the drone;

[0234] 102. Input the state information into the value function neural network to obtain the probability that the UAV selects each option in the option set. The options in the option set include collecting data from each sensor in the sensor network, returning to the voyage for charging, and ending the mission. ;

[0235] 103. Determine the optimal option according to the probability that the drone selects each option in the option set;

[0236] 104. O...

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Abstract

The invention provides an unmanned aerial vehicle data acquisition method based on an Option-DQN algorithm and related equipment. The method comprises the steps of acquiring (a) current state information of an unmanned aerial vehicle, wherein the state information comprises the percentage of data collected by all sensors in a sensor network, the current position of the unmanned aerial vehicle andthe remaining electric quantity of the unmanned aerial vehicle; (b) inputting the state information into a value function neural network to obtain the probability of each option in an unmanned aerialvehicle selection option set, the options in the option set including acquisition of data of each sensor in a sensor network, homeward voyage charging and task ending; (c) determining an optimal itemaccording to the probability of each option in the unmanned aerial vehicle selection option set; (d) obtaining a strategy corresponding to the optimal selection item, and controlling the unmanned aerial vehicle to execute the strategy; and (e) judging whether the optimal item is an ending task or not, and if the optimal item is not the ending task, returning to the step (a). The method can guarantee the shortest data collection time of the unmanned aerial vehicle, and guarantees the timely charging of the unmanned aerial vehicle.

Description

technical field [0001] The invention relates to communication technology, in particular to a data collection method and related equipment of an unmanned aerial vehicle. Background technique [0002] UAV technology has been widely used in wireless communication in recent years. UAVs have the characteristics of high flexibility and strong mobility. They can be used as mobile air base stations to assist ground base station communications, for example, to help remote areas achieve communication coverage. In addition, the information transmission between the UAV and the ground user has almost no obstructions and can be assumed to be a line-of-sight channel. Therefore, the throughput and coverage of the communication network covered by the UAV base station can be effectively improved. [0003] UAVs can also assist sensor networks in data collection. The data collection between traditional sensor network nodes is transmitted from one node to another node through multi-hop, and s...

Claims

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Application Information

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IPC IPC(8): G05D1/10G06N3/04
CPCG05D1/101G06N3/045Y02D30/70
Inventor 牟治宇张煜高飞飞郭文秀
Owner RESEARCH INSTITUTE OF TSINGHUA UNIVERSITY IN SHENZHEN