CN110691368A - Method and system for collecting unmanned aerial vehicle monitoring data based on Internet of things and computer readable medium - Google Patents

Method and system for collecting unmanned aerial vehicle monitoring data based on Internet of things and computer readable medium Download PDF

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Publication number
CN110691368A
CN110691368A CN201911172307.9A CN201911172307A CN110691368A CN 110691368 A CN110691368 A CN 110691368A CN 201911172307 A CN201911172307 A CN 201911172307A CN 110691368 A CN110691368 A CN 110691368A
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China
Prior art keywords
wlan access
access point
base station
drone
unmanned aerial
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CN201911172307.9A
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CN110691368B (en
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马芳
张文
郑富娥
张建平
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Zhengzhou Institute of Technology
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Zhengzhou Institute of Technology
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • H04B17/318Received signal strength
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/10Scheduling measurement reports ; Arrangements for measurement reports
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/44Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]

Abstract

The invention discloses a method for collecting unmanned aerial vehicle monitoring data based on the Internet of things, which comprises the following steps: establishing communication connection between the unmanned aerial vehicle and a base station; sending, by the base station, a measurement configuration message to the unmanned aerial vehicle; measuring, by the drone, received signal strength indications of signals from a plurality of WLAN access points; judging whether the received signal strength indication is greater than a measurement threshold value by the unmanned aerial vehicle; sending, by the drone, a measurement report to the base station in response to the received signal strength indication being greater than the measurement threshold value; in response to receiving the measurement report, transmitting, by the base station, a WLAN access point related information request message to the WLAN access point indicated in the measurement report; providing, by the WLAN access point, WLAN access point related information to the base station in response to receiving the WLAN access point related information request message; in response to receiving the WLAN access point related information, the base station judges whether the load of the WLAN access point is greater than a threshold load; and if the load is greater than the threshold load, the base station sends a monitoring information request message to the unmanned aerial vehicle.

Description

Method and system for collecting unmanned aerial vehicle monitoring data based on Internet of things and computer readable medium
Technical Field
The invention relates to the technical field of unmanned aerial vehicles, in particular to a method, a system and a computer readable medium for collecting monitoring data of an unmanned aerial vehicle based on the Internet of things.
Background
An unmanned aircraft, abbreviated as "drone", and abbreviated in english as "UAV", is an unmanned aircraft that is operated by a radio remote control device and a self-contained program control device, or is operated autonomously, either completely or intermittently, by an onboard computer.
Prior art CN106227233B discloses a control method of a flight device, which is characterized by comprising: reading preset flight parameters of the flight equipment; controlling the flight equipment to execute operation corresponding to the preset flight parameters; the preset flight parameters include time, which includes: the starting time of the flight equipment, the closing time of the flight equipment and the landing time of the flight equipment; the control of the flight device to perform operations corresponding to the preset flight parameters includes: reading a current time parameter; when the current time parameter is matched with the time in the preset flight parameters, executing operation corresponding to the preset flight parameters; the reading of the preset flight parameters of the flight device includes: and when the current electric quantity is smaller than the preset electric quantity, reading the preset flight parameters according to a preset time interval corresponding to the current electric quantity.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a method, a system and a computer readable medium for collecting unmanned aerial vehicle monitoring data based on the Internet of things, which can overcome the method in the prior art.
In order to achieve the purpose, the invention provides a method for collecting unmanned aerial vehicle monitoring data based on the internet of things, which comprises the following steps: establishing communication connection between the unmanned aerial vehicle and a base station; sending, by a base station, a measurement configuration message to an unmanned aerial vehicle, wherein the measurement configuration message includes identities of a plurality of WLAN access points and a measurement threshold value, and wherein the plurality of WLAN access points are located within a communication coverage of the base station; measuring, by the drone, received signal strength indications of signals from the plurality of WLAN access points in response to receiving the measurement configuration message; judging whether the received signal strength indication is greater than a measurement threshold value by the unmanned aerial vehicle; responding to the received signal strength indication larger than a measurement threshold value, and sending a measurement report to a base station by the unmanned aerial vehicle, wherein the measurement report comprises the received signal strength indication and an identity of a WLAN access point corresponding to the received signal strength indication; in response to receiving the measurement report, transmitting, by the base station, a WLAN access point related information request message to the WLAN access point indicated in the measurement report; providing, by the WLAN access point, WLAN access point related information to the base station in response to receiving the WLAN access point related information request message, wherein the WLAN access point related information includes load information of the WLAN access point, communication delay information of the WLAN access point, and maximum average data rate information allowed by the WLAN access point; in response to receiving the WLAN access point related information, the base station judges whether the load of the WLAN access point is greater than a threshold load; if the load of the WLAN access point is larger than the threshold load, the base station sends a monitoring information request message to the unmanned aerial vehicle; and in response to receiving the monitoring information request message, sending, by the drone, drone operational data to the base station.
In a preferred embodiment, the method for collecting the monitoring data of the unmanned aerial vehicle based on the internet of things comprises the following steps: if the load of the WLAN access point is smaller than the threshold load, the base station selects the WLAN access point with the minimum load based on the load of the WLAN access point; in response to selecting the least loaded WLAN access point, sending, by the base station, an aggregation request to the drone, wherein the aggregation request includes an identity of the selected least loaded WLAN access point, communication delay information of the selected least loaded WLAN access point, maximum average data rate information of the selected least loaded WLAN access point, and an identity of a DRB for aggregated communication; in response to receiving the aggregation request, measuring, by the drone, a received signal strength of a signal from the selected least loaded WLAN access point indicated in the aggregation request; judging whether the received signal strength of the signal of the selected WLAN access point with the minimum load indicated in the aggregation request is greater than a received signal strength threshold built in the unmanned aerial vehicle or not by the unmanned aerial vehicle; if the received signal strength of the signal from the selected WLAN access point with the minimum load indicated in the aggregation request is smaller than the built-in received signal strength threshold of the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation rejection message to the base station; in response to sending the aggregation rejection message to the base station, sending, by the drone, drone operational data to the base station.
In a preferred embodiment, the method for collecting the monitoring data of the unmanned aerial vehicle based on the internet of things comprises the following steps: if the received signal strength of the signal of the selected WLAN access point with the minimum load indicated in the aggregation request is greater than the built-in received signal strength threshold of the unmanned aerial vehicle, the unmanned aerial vehicle continuously judges whether the maximum average data rate information of the selected WLAN access point with the minimum load is greater than the built-in maximum average data rate threshold of the unmanned aerial vehicle; if the maximum average data rate information of the selected WLAN access point with the minimum load is smaller than the built-in maximum average data rate threshold of the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation rejection message to the base station; in response to sending the aggregation rejection message to the base station, sending, by the drone, drone operational data to the base station.
In a preferred embodiment, the method for collecting the monitoring data of the unmanned aerial vehicle based on the internet of things comprises the following steps: if the maximum average data rate information of the selected WLAN access point with the minimum load is larger than the built-in maximum average data rate threshold of the unmanned aerial vehicle, the unmanned aerial vehicle continuously judges whether the communication delay of the selected WLAN access point with the minimum load is larger than the built-in communication delay threshold of the unmanned aerial vehicle; if the communication delay of the selected WLAN access point with the minimum load is larger than a communication delay threshold built in the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation rejection message to the base station; in response to sending the aggregation rejection message to the base station, sending, by the drone, drone operational data to the base station.
In a preferred embodiment, the method for collecting the monitoring data of the unmanned aerial vehicle based on the internet of things comprises the following steps: if the communication delay of the selected WLAN access point with the minimum load is smaller than a communication delay threshold built in the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation allowing message to the base station; associating, by the drone, with the selected least loaded WLAN access point in response to sending the aggregation allowed message to the base station; in response to completing the association with the selected least loaded WLAN access point, transmitting, by the drone, drone operational data to the least loaded WLAN access point and the base station.
The invention also provides a system for collecting unmanned aerial vehicle monitoring data based on the Internet of things, which comprises: means for establishing, by the drone, a communication connection with a base station; means for transmitting, by a base station, a measurement configuration message to a drone, wherein the measurement configuration message includes identities of a plurality of WLAN access points and a measurement threshold value, wherein the plurality of WLAN access points are located within a communication coverage of the base station; means for measuring, by the drone, received signal strength indications of signals from the plurality of WLAN access points in response to receiving the measurement configuration message; means for determining, by the drone, whether the received signal strength indication is greater than a measurement threshold value; means for sending, by the drone, a measurement report to the base station in response to the received signal strength indication being greater than a measurement threshold value, wherein the measurement report includes the received signal strength indication and an identity of a WLAN access point corresponding to the received signal strength indication; means for transmitting, by the base station, a WLAN access point related information request message to a WLAN access point indicated in the measurement report in response to receiving the measurement report; means for providing, by the WLAN access point, WLAN access point related information to the base station in response to receiving the WLAN access point related information request message, wherein the WLAN access point related information includes load information of the WLAN access point, communication delay information of the WLAN access point, and maximum average data rate information allowed by the WLAN access point; means for determining, by the base station, whether a load of the WLAN access point is greater than a threshold load in response to receiving the WLAN access point related information; means for sending, by the base station, a monitoring information request message to the drone if the load of the WLAN access point is greater than a threshold load; means for transmitting, by the drone, drone operational data to the base station in response to receiving the monitoring information request message.
In a preferred embodiment, the system for collecting monitoring data of the unmanned aerial vehicle based on the internet of things comprises: means for selecting, by the base station, a least loaded WLAN access point based on the load of the WLAN access point if the load of the WLAN access point is less than a threshold load; means for sending, by the base station, an aggregation request to the drone in response to selecting the least loaded WLAN access point, wherein the aggregation request includes an identity of the selected least loaded WLAN access point, communication delay information of the selected least loaded WLAN access point, maximum average data rate information of the selected least loaded WLAN access point, and an identity of a DRB for aggregated communications; means for measuring, by the drone, a received signal strength of a signal from the selected least loaded WLAN access point indicated in the aggregation request in response to receiving the aggregation request; means for determining, by the drone, whether a received signal strength of a signal from the selected least loaded WLAN access point indicated in the aggregation request is greater than a received signal strength threshold built into the drone; means for sending, by the drone, an aggregation rejection message to the base station if a received signal strength of a signal from the selected least loaded WLAN access point indicated in the aggregation request is less than a received signal strength threshold built into the drone; means for transmitting, by the drone, drone operational data to the base station in response to transmitting the aggregation rejection message to the base station.
In a preferred embodiment, the system for collecting monitoring data of the unmanned aerial vehicle based on the internet of things comprises: means for continuing, by the drone, to determine whether the maximum average data rate information for the selected least loaded WLAN access point is greater than a drone-embedded maximum average data rate threshold if the received signal strength of the signal from the selected least loaded WLAN access point indicated in the aggregation request is greater than the drone-embedded received signal strength threshold; means for sending, by the drone, an aggregation rejection message to the base station if the maximum average data rate information of the selected least loaded WLAN access point is less than a maximum average data rate threshold built into the drone; means for transmitting, by the drone, drone operational data to the base station in response to transmitting the aggregation rejection message to the base station.
In a preferred embodiment, the system for collecting monitoring data of the unmanned aerial vehicle based on the internet of things comprises: a unit for continuously judging whether the communication delay of the selected WLAN access point with the minimum load is larger than the built-in communication delay threshold of the unmanned aerial vehicle by the unmanned aerial vehicle if the maximum average data rate information of the selected WLAN access point with the minimum load is larger than the built-in maximum average data rate threshold of the unmanned aerial vehicle; means for sending, by the drone, an aggregation rejection message to the base station if the communication delay of the selected least loaded WLAN access point is greater than a communication delay threshold built into the drone; means for transmitting, by the drone, drone operational data to the base station in response to transmitting the aggregation rejection message to the base station.
The present invention also provides a computer-readable storage medium having stored therein code for: establishing communication connection between the unmanned aerial vehicle and a base station; sending, by a base station, a measurement configuration message to an unmanned aerial vehicle, wherein the measurement configuration message includes identities of a plurality of WLAN access points and a measurement threshold value, and wherein the plurality of WLAN access points are located within a communication coverage of the base station; measuring, by the drone, received signal strength indications of signals from the plurality of WLAN access points in response to receiving the measurement configuration message; judging whether the received signal strength indication is greater than a measurement threshold value by the unmanned aerial vehicle; responding to the received signal strength indication larger than a measurement threshold value, and sending a measurement report to a base station by the unmanned aerial vehicle, wherein the measurement report comprises the received signal strength indication and an identity of a WLAN access point corresponding to the received signal strength indication; in response to receiving the measurement report, transmitting, by the base station, a WLAN access point related information request message to the WLAN access point indicated in the measurement report; providing, by the WLAN access point, WLAN access point related information to the base station in response to receiving the WLAN access point related information request message, wherein the WLAN access point related information includes load information of the WLAN access point, communication delay information of the WLAN access point, and maximum average data rate information allowed by the WLAN access point; in response to receiving the WLAN access point related information, the base station judges whether the load of the WLAN access point is greater than a threshold load; if the load of the WLAN access point is larger than the threshold load, the base station sends a monitoring information request message to the unmanned aerial vehicle; and in response to receiving the monitoring information request message, sending, by the drone, drone operational data to the base station.
Compared with the prior art, the unmanned aerial vehicle monitoring system has the advantages that the unmanned aerial vehicle is very important monitoring equipment, and the appearance, the structure and the control method of the unmanned aerial vehicle, even the automatic flight technology based on artificial intelligence and the like are researched by a plurality of prior arts at present. It should be noted, however, that the most important of the drones is the stability and speed of data transmission of the drones, and if the drones transmit at a low speed, the drones cannot effectively transmit video or at least the drones cannot transmit high definition video. In view of the problems encountered by the existing unmanned aerial vehicle, the invention provides a method and a system for collecting monitoring data of the unmanned aerial vehicle based on the Internet of things. The invention can ensure the stability and the speed of the data transmission of the unmanned aerial vehicle.
Drawings
FIG. 1 is a flow diagram of a method according to an embodiment of the invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Example 1
FIG. 1 is a flow diagram of a method according to an embodiment of the invention. As shown in the figure, the method for collecting unmanned aerial vehicle monitoring data based on the internet of things comprises the following steps:
step 101: establishing communication connection between the unmanned aerial vehicle and a base station;
step 102: sending, by a base station, a measurement configuration message to an unmanned aerial vehicle, wherein the measurement configuration message includes identities of a plurality of WLAN access points and a measurement threshold value, and wherein the plurality of WLAN access points are located within a communication coverage of the base station;
step 103: measuring, by the drone, received signal strength indications of signals from the plurality of WLAN access points in response to receiving the measurement configuration message;
step 104: judging whether the received signal strength indication is greater than a measurement threshold value by the unmanned aerial vehicle;
step 105: responding to the received signal strength indication larger than a measurement threshold value, and sending a measurement report to a base station by the unmanned aerial vehicle, wherein the measurement report comprises the received signal strength indication and an identity of a WLAN access point corresponding to the received signal strength indication;
step 106: in response to receiving the measurement report, transmitting, by the base station, a WLAN access point related information request message to the WLAN access point indicated in the measurement report;
step 107: providing, by the WLAN access point, WLAN access point related information to the base station in response to receiving the WLAN access point related information request message, wherein the WLAN access point related information includes load information of the WLAN access point, communication delay information of the WLAN access point, and maximum average data rate information allowed by the WLAN access point;
step 108: in response to receiving the WLAN access point related information, the base station judges whether the load of the WLAN access point is greater than a threshold load;
step 109: if the load of the WLAN access point is larger than the threshold load, the base station sends a monitoring information request message to the unmanned aerial vehicle;
step 110: in response to receiving the monitoring information request message, the drone operation data (the drone operation data may include status information of the drone itself, such as parameters of the drone's power, motor speed, flight speed, and the like, and may also include data collected by the drone such as wind speed, video, photos, and the like) is sent by the drone to the base station.
Example 2
In a preferred embodiment, the method for collecting the monitoring data of the unmanned aerial vehicle based on the internet of things comprises the following steps: if the load of the WLAN access point is smaller than the threshold load, the base station selects the WLAN access point with the minimum load based on the load of the WLAN access point; in response to selecting the least loaded WLAN access point, sending, by the base station, an aggregation request to the drone, wherein the aggregation request includes an identity of the selected least loaded WLAN access point, communication delay information of the selected least loaded WLAN access point, maximum average data rate information of the selected least loaded WLAN access point, and an identity of a DRB for aggregated communication; in response to receiving the aggregation request, measuring, by the drone, a received signal strength of a signal from the selected least loaded WLAN access point indicated in the aggregation request; judging whether the received signal strength of the signal of the selected WLAN access point with the minimum load indicated in the aggregation request is greater than a received signal strength threshold built in the unmanned aerial vehicle or not by the unmanned aerial vehicle; if the received signal strength of the signal from the selected WLAN access point with the minimum load indicated in the aggregation request is smaller than the built-in received signal strength threshold of the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation rejection message to the base station; in response to sending the aggregation rejection message to the base station, sending, by the drone, drone operational data to the base station.
In a preferred embodiment, the method for collecting the monitoring data of the unmanned aerial vehicle based on the internet of things comprises the following steps: if the received signal strength of the signal of the selected WLAN access point with the minimum load indicated in the aggregation request is greater than the built-in received signal strength threshold of the unmanned aerial vehicle, the unmanned aerial vehicle continuously judges whether the maximum average data rate information of the selected WLAN access point with the minimum load is greater than the built-in maximum average data rate threshold of the unmanned aerial vehicle; if the maximum average data rate information of the selected WLAN access point with the minimum load is smaller than the built-in maximum average data rate threshold of the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation rejection message to the base station; in response to sending the aggregation rejection message to the base station, sending, by the drone, drone operational data to the base station.
Example 3
In a preferred embodiment, the method for collecting the monitoring data of the unmanned aerial vehicle based on the internet of things comprises the following steps: if the maximum average data rate information of the selected WLAN access point with the minimum load is larger than the built-in maximum average data rate threshold of the unmanned aerial vehicle, the unmanned aerial vehicle continuously judges whether the communication delay of the selected WLAN access point with the minimum load is larger than the built-in communication delay threshold of the unmanned aerial vehicle; if the communication delay of the selected WLAN access point with the minimum load is larger than a communication delay threshold built in the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation rejection message to the base station; in response to sending the aggregation rejection message to the base station, sending, by the drone, drone operational data to the base station.
In a preferred embodiment, the method for collecting the monitoring data of the unmanned aerial vehicle based on the internet of things comprises the following steps: if the communication delay of the selected WLAN access point with the minimum load is smaller than a communication delay threshold built in the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation allowing message to the base station; associating, by the drone, with the selected least loaded WLAN access point in response to sending the aggregation allowed message to the base station; in response to completing the association with the selected least loaded WLAN access point, transmitting, by the drone, drone operational data to the least loaded WLAN access point and the base station.
Example 4
The invention also provides a system for collecting unmanned aerial vehicle monitoring data based on the Internet of things, which comprises: means for establishing, by the drone, a communication connection with a base station; means for transmitting, by a base station, a measurement configuration message to a drone, wherein the measurement configuration message includes identities of a plurality of WLAN access points and a measurement threshold value, wherein the plurality of WLAN access points are located within a communication coverage of the base station; means for measuring, by the drone, received signal strength indications of signals from the plurality of WLAN access points in response to receiving the measurement configuration message; means for determining, by the drone, whether the received signal strength indication is greater than a measurement threshold value; means for sending, by the drone, a measurement report to the base station in response to the received signal strength indication being greater than a measurement threshold value, wherein the measurement report includes the received signal strength indication and an identity of a WLAN access point corresponding to the received signal strength indication; means for transmitting, by the base station, a WLAN access point related information request message to a WLAN access point indicated in the measurement report in response to receiving the measurement report; means for providing, by the WLAN access point, WLAN access point related information to the base station in response to receiving the WLAN access point related information request message, wherein the WLAN access point related information includes load information of the WLAN access point, communication delay information of the WLAN access point, and maximum average data rate information allowed by the WLAN access point; means for determining, by the base station, whether a load of the WLAN access point is greater than a threshold load in response to receiving the WLAN access point related information; means for sending, by the base station, a monitoring information request message to the drone if the load of the WLAN access point is greater than a threshold load; means for transmitting, by the drone, drone operational data to the base station in response to receiving the monitoring information request message.
In a preferred embodiment, the system for collecting monitoring data of the unmanned aerial vehicle based on the internet of things comprises: means for selecting, by the base station, a least loaded WLAN access point based on the load of the WLAN access point if the load of the WLAN access point is less than a threshold load; means for sending, by the base station, an aggregation request to the drone in response to selecting the least loaded WLAN access point, wherein the aggregation request includes an identity of the selected least loaded WLAN access point, communication delay information of the selected least loaded WLAN access point, maximum average data rate information of the selected least loaded WLAN access point, and an identity of a DRB for aggregated communications; means for measuring, by the drone, a received signal strength of a signal from the selected least loaded WLAN access point indicated in the aggregation request in response to receiving the aggregation request; means for determining, by the drone, whether a received signal strength of a signal from the selected least loaded WLAN access point indicated in the aggregation request is greater than a received signal strength threshold built into the drone; means for sending, by the drone, an aggregation rejection message to the base station if a received signal strength of a signal from the selected least loaded WLAN access point indicated in the aggregation request is less than a received signal strength threshold built into the drone; means for transmitting, by the drone, drone operational data to the base station in response to transmitting the aggregation rejection message to the base station.
In a preferred embodiment, the system for collecting monitoring data of the unmanned aerial vehicle based on the internet of things comprises: means for continuing, by the drone, to determine whether the maximum average data rate information for the selected least loaded WLAN access point is greater than a drone-embedded maximum average data rate threshold if the received signal strength of the signal from the selected least loaded WLAN access point indicated in the aggregation request is greater than the drone-embedded received signal strength threshold; means for sending, by the drone, an aggregation rejection message to the base station if the maximum average data rate information of the selected least loaded WLAN access point is less than a maximum average data rate threshold built into the drone; means for transmitting, by the drone, drone operational data to the base station in response to transmitting the aggregation rejection message to the base station.
In a preferred embodiment, the system for collecting monitoring data of the unmanned aerial vehicle based on the internet of things comprises: a unit for continuously judging whether the communication delay of the selected WLAN access point with the minimum load is larger than the built-in communication delay threshold of the unmanned aerial vehicle by the unmanned aerial vehicle if the maximum average data rate information of the selected WLAN access point with the minimum load is larger than the built-in maximum average data rate threshold of the unmanned aerial vehicle; means for sending, by the drone, an aggregation rejection message to the base station if the communication delay of the selected least loaded WLAN access point is greater than a communication delay threshold built into the drone; means for transmitting, by the drone, drone operational data to the base station in response to transmitting the aggregation rejection message to the base station.
Example 5
In a preferred embodiment, the system for collecting monitoring data of the unmanned aerial vehicle based on the internet of things comprises: means for sending, by the drone, an aggregation grant message to the base station if a communication delay of the selected least loaded WLAN access point is less than a communication delay threshold built into the drone; means for associating, by the drone, with the selected least loaded WLAN access point in response to sending the aggregation allowed message to the base station; means for transmitting, by the drone, drone operational data to the least loaded WLAN access point and the base station in response to completing the association with the selected least loaded WLAN access point.
Example 6
The present invention also provides a computer-readable storage medium having stored therein code for: establishing communication connection between the unmanned aerial vehicle and a base station; sending, by a base station, a measurement configuration message to an unmanned aerial vehicle, wherein the measurement configuration message includes identities of a plurality of WLAN access points and a measurement threshold value, and wherein the plurality of WLAN access points are located within a communication coverage of the base station; measuring, by the drone, received signal strength indications of signals from the plurality of WLAN access points in response to receiving the measurement configuration message; judging whether the received signal strength indication is greater than a measurement threshold value by the unmanned aerial vehicle; responding to the received signal strength indication larger than a measurement threshold value, and sending a measurement report to a base station by the unmanned aerial vehicle, wherein the measurement report comprises the received signal strength indication and an identity of a WLAN access point corresponding to the received signal strength indication; in response to receiving the measurement report, transmitting, by the base station, a WLAN access point related information request message to the WLAN access point indicated in the measurement report; providing, by the WLAN access point, WLAN access point related information to the base station in response to receiving the WLAN access point related information request message, wherein the WLAN access point related information includes load information of the WLAN access point, communication delay information of the WLAN access point, and maximum average data rate information allowed by the WLAN access point; in response to receiving the WLAN access point related information, the base station judges whether the load of the WLAN access point is greater than a threshold load; if the load of the WLAN access point is larger than the threshold load, the base station sends a monitoring information request message to the unmanned aerial vehicle; and in response to receiving the monitoring information request message, sending, by the drone, drone operational data to the base station.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.

Claims (10)

1. A method for collecting unmanned aerial vehicle monitoring data based on the Internet of things is characterized in that: the method for collecting the unmanned aerial vehicle monitoring data based on the Internet of things comprises the following steps:
establishing communication connection between the unmanned aerial vehicle and a base station;
sending, by the base station, a measurement configuration message to the drone, wherein the measurement configuration message includes identities of a plurality of WLAN access points and a measurement threshold value, wherein the plurality of WLAN access points are located within a communication coverage of the base station;
measuring, by the drone, received signal strength indications of signals from the plurality of WLAN access points in response to receiving the measurement configuration message;
determining, by the drone, whether the received signal strength indication is greater than the measurement threshold value;
sending, by the drone, a measurement report to the base station in response to the received signal strength indication being greater than the measurement threshold value, wherein the measurement report includes the received signal strength indication and an identity of a WLAN access point corresponding to the received signal strength indication;
in response to receiving the measurement report, sending, by the base station, a WLAN access point-related information request message to a WLAN access point indicated in the measurement report;
providing, by the WLAN access point, WLAN access point related information to the base station in response to receiving the WLAN access point related information request message, wherein the WLAN access point related information includes load information of the WLAN access point, communication delay information of the WLAN access point, and maximum average data rate information allowed by the WLAN access point;
in response to receiving the WLAN access point related information, determining, by the base station, whether a load of the WLAN access point is greater than a threshold load;
if the load of the WLAN access point is greater than the threshold load, the base station sends a monitoring information request message to the unmanned aerial vehicle;
and responding to the received monitoring information request message, and sending unmanned aerial vehicle operation data to the base station by the unmanned aerial vehicle.
2. The internet of things-based method for collecting unmanned aerial vehicle monitoring data of claim 1, wherein: the method for collecting the unmanned aerial vehicle monitoring data based on the Internet of things comprises the following steps:
selecting, by the base station, a WLAN access point with a minimum load based on the load of the WLAN access point if the load of the WLAN access point is less than a threshold load;
in response to selecting the least loaded WLAN access point, sending, by the base station, an aggregation request to the drone, wherein the aggregation request includes an identity of the selected least loaded WLAN access point, communication delay information of the selected least loaded WLAN access point, maximum average data rate information of the selected least loaded WLAN access point, and an identity of a DRB for aggregated communication;
in response to receiving the aggregation request, measuring, by the drone, a received signal strength of a signal from the selected least loaded WLAN access point indicated in the aggregation request;
determining, by the drone, whether a received signal strength of the signal from the selected least loaded WLAN access point indicated in the aggregation request is greater than a drone built-in received signal strength threshold;
if the received signal strength of the signal from the selected WLAN access point with the minimum load indicated in the aggregation request is smaller than a received signal strength threshold built in the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation rejection message to the base station;
sending, by the drone, drone operational data to the base station in response to sending the aggregation rejection message to the base station.
3. The internet of things-based method for collecting unmanned aerial vehicle monitoring data of claim 2, wherein: the method for collecting the unmanned aerial vehicle monitoring data based on the Internet of things comprises the following steps:
if the received signal strength of the signal from the selected WLAN access point with the minimum load indicated in the aggregation request is greater than a received signal strength threshold built in the drone, the drone continues to determine whether the maximum average data rate information of the selected WLAN access point with the minimum load is greater than a maximum average data rate threshold built in the drone;
if the maximum average data rate information of the selected WLAN access point with the minimum load is smaller than a maximum average data rate threshold built in the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation rejection message to the base station;
sending, by the drone, drone operational data to the base station in response to sending the aggregation rejection message to the base station.
4. The internet of things-based method for collecting unmanned aerial vehicle monitoring data of claim 3, wherein: the method for collecting the unmanned aerial vehicle monitoring data based on the Internet of things comprises the following steps:
if the maximum average data rate information of the selected WLAN access point with the minimum load is larger than the built-in maximum average data rate threshold of the unmanned aerial vehicle, the unmanned aerial vehicle continuously judges whether the communication delay of the selected WLAN access point with the minimum load is larger than the built-in communication delay threshold of the unmanned aerial vehicle;
if the communication delay of the selected WLAN access point with the minimum load is larger than a communication delay threshold built in the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation rejection message to the base station;
sending, by the drone, drone operational data to the base station in response to sending the aggregation rejection message to the base station.
5. The internet of things-based method for collecting unmanned aerial vehicle monitoring data of claim 4, wherein: the method for collecting the unmanned aerial vehicle monitoring data based on the Internet of things comprises the following steps:
if the communication delay of the selected WLAN access point with the minimum load is smaller than a communication delay threshold built in the unmanned aerial vehicle, the unmanned aerial vehicle sends an aggregation allowing message to the base station;
associating, by the drone, with the selected least loaded WLAN access point in response to sending the aggregation allowed message to the base station;
in response to completing the association with the selected least loaded WLAN access point, transmitting, by the drone, drone operational data to the least loaded WLAN access point and the base station.
6. The utility model provides a system for collect unmanned aerial vehicle monitoring data based on thing networking which characterized in that: the system for collecting unmanned aerial vehicle monitoring data based on the Internet of things comprises:
means for establishing, by the drone, a communication connection with a base station;
means for transmitting, by the base station, a measurement configuration message to the drone, wherein the measurement configuration message includes identities of a plurality of WLAN access points and a measurement threshold value, wherein the plurality of WLAN access points are located within a communication coverage of the base station;
means for measuring, by the drone, received signal strength indications of signals from the plurality of WLAN access points in response to receiving the measurement configuration message;
means for determining, by the drone, whether the received signal strength indication is greater than the measurement threshold value;
means for transmitting, by the drone, a measurement report to the base station in response to the received signal strength indication being greater than the measurement threshold value, wherein the measurement report includes the received signal strength indication and an identity of a WLAN access point corresponding to the received signal strength indication;
means for transmitting, by the base station, a WLAN access point-related information request message to a WLAN access point indicated in a measurement report in response to receiving the measurement report;
means for providing, by a WLAN access point, WLAN access point related information to the base station in response to receiving the WLAN access point related information request message, wherein the WLAN access point related information includes load information of the WLAN access point, communication delay information of the WLAN access point, and maximum average data rate information allowed by the WLAN access point;
means for determining, by the base station, whether a load of the WLAN access point is greater than a threshold load in response to receiving the WLAN access point related information;
means for sending, by the base station, a monitoring information request message to the drone if the load of the WLAN access point is greater than a threshold load;
means for transmitting, by the drone, drone operational data to the base station in response to receiving the monitoring information request message.
7. The internet of things-based system for collecting unmanned aerial vehicle monitoring data of claim 6, wherein: the system for collecting unmanned aerial vehicle monitoring data based on the Internet of things comprises:
means for selecting, by the base station, a least loaded WLAN access point based on the load of the WLAN access point if the load of the WLAN access point is less than a threshold load;
means for sending, by the base station, an aggregation request to the drone in response to selecting a least loaded WLAN access point, wherein the aggregation request includes an identity of the selected least loaded WLAN access point, communication delay information of the selected least loaded WLAN access point, maximum average data rate information of the selected least loaded WLAN access point, and an identity of a DRB for aggregated communication;
means for measuring, by the drone, a received signal strength of a signal from a selected least loaded WLAN access point indicated in the aggregate request in response to receiving the aggregate request;
means for determining, by the drone, whether a received signal strength of the signal from the selected least loaded WLAN access point indicated in the aggregation request is greater than a drone built-in received signal strength threshold;
means for sending, by the drone, an aggregation reject message to the base station if the received signal strength of the signal from the selected least loaded WLAN access point indicated in the aggregation request is less than a drone built-in received signal strength threshold;
means for transmitting, by the drone, drone operational data to the base station in response to transmitting an aggregation rejection message to the base station.
8. The internet of things-based system for collecting unmanned aerial vehicle monitoring data of claim 7, wherein: the system for collecting unmanned aerial vehicle monitoring data based on the Internet of things comprises:
means for continuing, by the drone, to determine whether the maximum average data rate information of the selected least loaded WLAN access point is greater than a drone-embedded maximum average data rate threshold if the received signal strength of the signal from the selected least loaded WLAN access point indicated in the aggregation request is greater than a drone-embedded received signal strength threshold;
means for sending, by the drone, an aggregation rejection message to the base station if the maximum average data rate information of the selected least loaded WLAN access point is less than a drone built-in maximum average data rate threshold;
means for transmitting, by the drone, drone operational data to the base station in response to transmitting an aggregation rejection message to the base station.
9. The internet of things-based system for collecting unmanned aerial vehicle monitoring data of claim 8, wherein: the system for collecting unmanned aerial vehicle monitoring data based on the Internet of things comprises:
means for continuing, by the drone, to determine whether a communication delay of the selected least loaded WLAN access point is greater than a drone-embedded communication delay threshold if the selected least loaded WLAN access point's maximum average data rate information is greater than a drone-embedded maximum average data rate threshold;
means for sending, by the drone, an aggregation rejection message to the base station if a communication delay of the selected least loaded WLAN access point is greater than a drone-embedded communication delay threshold;
means for transmitting, by the drone, drone operational data to the base station in response to transmitting an aggregation rejection message to the base station.
10. A computer-readable storage medium having code stored therein for:
establishing communication connection between the unmanned aerial vehicle and a base station;
sending, by the base station, a measurement configuration message to the drone, wherein the measurement configuration message includes identities of a plurality of WLAN access points and a measurement threshold value, wherein the plurality of WLAN access points are located within a communication coverage of the base station;
measuring, by the drone, received signal strength indications of signals from the plurality of WLAN access points in response to receiving the measurement configuration message;
determining, by the drone, whether the received signal strength indication is greater than the measurement threshold value;
sending, by the drone, a measurement report to the base station in response to the received signal strength indication being greater than the measurement threshold value, wherein the measurement report includes the received signal strength indication and an identity of a WLAN access point corresponding to the received signal strength indication;
in response to receiving the measurement report, sending, by the base station, a WLAN access point-related information request message to a WLAN access point indicated in the measurement report;
providing, by the WLAN access point, WLAN access point related information to the base station in response to receiving the WLAN access point related information request message, wherein the WLAN access point related information includes load information of the WLAN access point, communication delay information of the WLAN access point, and maximum average data rate information allowed by the WLAN access point;
in response to receiving the WLAN access point related information, determining, by the base station, whether a load of the WLAN access point is greater than a threshold load;
if the load of the WLAN access point is greater than the threshold load, the base station sends a monitoring information request message to the unmanned aerial vehicle;
and responding to the received monitoring information request message, and sending unmanned aerial vehicle operation data to the base station by the unmanned aerial vehicle.
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