WO2022000222A1

WO2022000222A1 - Information processing method, unmanned aerial vehicle, server, and storage medium

Info

Publication number: WO2022000222A1
Application number: PCT/CN2020/099097
Authority: WO
Inventors: 彭玄; 王焱; 尹小俊
Original assignee: 深圳市大疆创新科技有限公司
Priority date: 2020-06-30
Filing date: 2020-06-30
Publication date: 2022-01-06
Also published as: CN114026517B; CN114026517A

Abstract

An information processing method, an unmanned aerial vehicle, a server, and a storage medium. The method comprises: obtaining signal quality information of a base station, the signal quality information being measured on the basis of communication connection with the base station during a flight process of an unmanned aerial vehicle; obtaining position information of the unmanned aerial vehicle when measuring the signal quality information; and determining signal quality distribution information according to the signal quality information and the position information. According to the present application, the signal quality distribution information is determined according to the signal quality information and the position information, and the signal quality distribution information can be used for guiding the communication connection with the base station during the flight process of the unmanned aerial vehicle, thereby improving the communication quality between the unmanned aerial vehicle and the base station.

Description

Information processing method, drone, server and storage medium

technical field

The embodiments of the present application relate to the field of communication technologies, and in particular, to an information processing method, an unmanned aerial vehicle, a server, and a storage medium.

Background technique

At present, the communication technology of UAV is developing rapidly. Drones can communicate with servers, other drones and other devices through base stations for data transmission. However, since the base station is deployed for terminal equipment such as mobile phones that move on the ground, the signal coverage in the space area near the ground is strong, but the signal coverage in the space area above the ground is poor. When the UAV flies into an area with poor signal quality, the communication quality is likely to be degraded, or even the communication will be interrupted, resulting in poor operation effect of the UAV.

SUMMARY OF THE INVENTION

Embodiments of the present application provide an information processing method, an unmanned aerial vehicle, a server, and a storage medium, which are used to improve the communication quality between the unmanned aerial vehicle and a base station.

In a first aspect, an embodiment of the present application provides an information processing method, the method comprising:

acquiring signal quality information of the base station, the signal quality information is measured based on the communication connection with the base station during the flight of the drone;

Obtain the position information of the UAV when measuring the signal quality information;

Signal quality distribution information is determined according to the signal quality information and the location information.

In a second aspect, an embodiment of the present application provides an information processing method, the method is applied to an unmanned aerial vehicle, and the method includes:

Acquire signal quality information of the base station, where the signal quality information is measured based on the communication connection with the base station during the flight of the drone;

The signal quality information and the location information are sent to a server, where the signal quality information and the location information are used by the server to determine signal quality distribution information.

In a third aspect, an embodiment of the present application provides an information processing method, the method is applied to a server, and the method includes:

Receive the signal quality information and location information sent by the drone, wherein the signal quality information is obtained based on the communication connection with the base station during the flight of the drone, and the location information is the measurement of the signal The location information of the drone in the case of quality information;

In a fourth aspect, an embodiment of the present application provides an information processing method, the method is applied to an unmanned aerial vehicle, and the method includes:

Receive the signal quality distribution information sent by the server;

According to the signal quality distribution information, a base station for establishing a communication connection is selected.

In a fifth aspect, an embodiment of the present application provides an information processing method, the method is applied to a server, and the method includes:

Send signal quality distribution information to UAV;

The signal quality distribution information is used for the drone to select a base station for establishing a communication connection.

In a sixth aspect, an embodiment of the present application provides an electronic device, including:

a communication module for acquiring signal quality information of the base station, the signal quality information is measured based on the communication connection with the base station during the flight of the drone;

The communication module is further configured to obtain the position information of the UAV when measuring the signal quality information;

a processor, configured to determine signal quality distribution information according to the signal quality information and the location information.

In a seventh aspect, an embodiment of the present application provides an unmanned aerial vehicle, including:

a processor, configured to acquire signal quality information of the base station, where the signal quality information is measured based on the communication connection with the base station during the flight of the drone;

The processor is further configured to obtain the position information of the UAV when measuring the signal quality information;

A communication module, configured to send the signal quality information and the location information to a server, where the signal quality information and the location information are used by the server to determine signal quality distribution information.

In an eighth aspect, an embodiment of the present application provides a server, including:

A communication module, configured to receive signal quality information and location information sent by the drone, wherein the signal quality information is measured based on the communication connection with the base station during the flight of the drone, and the location information is the position information of the UAV when measuring the signal quality information;

In a ninth aspect, an embodiment of the present application provides an unmanned aerial vehicle, comprising:

The communication module is used for receiving the signal quality distribution information sent by the server;

The processor is configured to select a base station for establishing a communication connection according to the signal quality distribution information.

In a tenth aspect, an embodiment of the present application provides a server, including:

The communication module is used to send the signal quality distribution information to the UAV;

In an eleventh aspect, an embodiment of the present application provides a readable storage medium, and a computer program is stored on the readable storage medium; when the computer program is executed, the implementation of the first aspect described in the embodiment of the present application is realized. Information processing method.

In a twelfth aspect, an embodiment of the present application provides a readable storage medium, where a computer program is stored on the readable storage medium; when the computer program is executed, the embodiment of the present application according to the second aspect is implemented. Information processing method.

In a thirteenth aspect, an embodiment of the present application provides a readable storage medium, where a computer program is stored on the readable storage medium; when the computer program is executed, the embodiment of the present application according to the third aspect is implemented. Information processing method.

In a fourteenth aspect, an embodiment of the present application provides a readable storage medium, where a computer program is stored on the readable storage medium; when the computer program is executed, the embodiment of the present application according to the fourth aspect is implemented. Information processing method.

In a fifteenth aspect, an embodiment of the present application provides a readable storage medium, where a computer program is stored on the readable storage medium; when the computer program is executed, the embodiment of the present application according to the fifth aspect is implemented. Information processing method.

In the information processing method, unmanned aerial vehicle, server, and storage medium provided by the embodiments of the present application, the signal quality information of the base station is obtained by measuring the signal quality information of the base station based on the communication connection with the base station during the flight of the unmanned aerial vehicle, and when the measured signal quality information is obtained, there is no one The location information of the drone is determined according to the signal quality information and the location information. The signal quality distribution information can be used to guide the communication connection between the drone and the base station during the flight process, thereby improving the communication quality between the drone and the base station.

Description of drawings

In order to explain the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. As far as technical personnel are concerned, other drawings can also be obtained based on these drawings without any creative effort.

FIG. 1 is a schematic scene diagram of an information processing method provided by an embodiment of the present application;

2 is a flowchart of an information processing method provided by an embodiment of the present application;

3 is a flowchart of an information processing method provided by another embodiment of the present application;

4 is a flowchart of an information processing method provided by another embodiment of the present application;

FIG. 5 is a signaling interaction diagram of an information processing method provided by an embodiment of the present application;

FIG. 6 is a flowchart of an information processing method provided by still another embodiment of the present application;

FIG. 7 is a flowchart of an information processing method provided by yet another embodiment of the present application;

8 is a flowchart of an information processing method provided by the next embodiment of the present application;

9 is a flowchart of an information processing method provided by another embodiment of the present application;

10 is a flowchart of an information processing method provided by still another embodiment of the present application;

11 is a flowchart of an information processing method provided by still another embodiment of the present application;

FIG. 12 is a signaling interaction diagram of an information processing method provided by an embodiment of the present application;

13 is a schematic structural diagram of an electronic device provided by an embodiment of the application;

14 is a schematic structural diagram of an unmanned aerial vehicle provided by yet another embodiment of the application;

FIG. 15 is a schematic structural diagram of a server provided by another embodiment of the present application;

16 is a schematic structural diagram of an unmanned aerial vehicle provided by yet another embodiment of the application;

FIG. 17 is a schematic structural diagram of a server provided by yet another embodiment of the present application.

detailed description

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and features in the embodiments may be combined with each other without conflict.

At present, the communication technology of UAV is developing rapidly. Drones can communicate with servers, other drones and other devices through base stations for data transmission. However, since the base station is deployed for terminal equipment such as mobile phones that move on the ground, the signal coverage in the space area near the ground is strong, but the signal coverage in the space area above the ground is poor. When the drone flies into an area with poor signal quality, the communication quality is likely to be degraded, or even the communication will be interrupted.

For example, when the drone communicates with the base station, it may encounter situations including but not limited to the following: Situation 1. The drone switches from a base station with good signal quality to a base station with poor signal quality during flight. resulting in a decrease in communication quality. Case 2. With the change of the flying position of the UAV, the communication channel between the UAV and a base station changes, from the Line of Sight (LOS) channel to the Non-Line of Sight wireless transmission (Non Line of Sight). , NLOS) channel, or the relative position and direction of the UAV and the base station change, and the UAV does not adjust the communication parameters accordingly, resulting in the degradation of communication quality or even interruption. Scenario 3: The drone enters an area where the signal quality of all base stations is relatively poor, resulting in interruption of communication.

In this embodiment of the present application, the signal quality information of the base station is obtained by measuring the signal quality information of the base station based on the communication connection with the base station during the flight of the drone, and the position information of the drone when the signal quality information is measured, and the signal is determined according to the signal quality information and the position information. Mass distribution information, the signal quality distribution information can be used to guide the communication connection between the UAV and the base station during the flight, thereby improving the communication quality between the UAV and the base station.

FIG. 1 is a schematic diagram of a scenario of an information processing method provided by an embodiment of the present application. The drone 11 , the base station 12 , the server 13 and the control terminal 14 are drawn in FIG. 1 .

Wherein, the UAV 11 may include a power system, a flight control system, a communication module and a frame. The power system may include one or more electronic governors, one or more propellers, and one or more electric motors corresponding to the one or more propellers, wherein the electric motors are connected between the electronic governors and the propellers, and the electric motors and the propellers It is arranged on the arm of the unmanned aerial vehicle; the electronic governor is used to receive the driving signal generated by the flight control system, and provide driving current to the motor according to the driving signal to control the speed of the motor. The motor is used to drive the propeller to rotate, thereby providing power for the flight of the UAV 11 , and the power enables the UAV 11 to realize the movement of one or more degrees of freedom. It should be understood that the motor may be a DC motor or an AC motor. In addition, the motor may be a brushless motor or a brushed motor.

The flight control system may include a flight controller and a sensing system. The sensing system is used to measure the attitude information of the UAV, that is, the position information and state information of the UAV 11 in space, such as three-dimensional position, three-dimensional angle, three-dimensional velocity, three-dimensional acceleration and three-dimensional angular velocity, etc. For example, the sensing system may include at least one of a gyroscope, an ultrasonic sensor, an electronic compass, an inertial measurement unit (Inertial Measurement Unit, IMU), a visual sensor, a global navigation satellite system, a barometer, and other sensors. For example, the global navigation satellite system may be the Global Positioning System (GPS). The drone 11 is used to control the flight of the drone 11 , for example, the flight of the drone 11 can be controlled according to the attitude information measured by the sensing system. It should be understood that the drone 11 can control the drone 11 according to pre-programmed instructions, and can also control the drone 11 by responding to one or more remote control signals from the control terminal 14 .

The communication module is used for the drone 11 to communicate with the base station 12 and the control terminal 14 . The communication between the drone 11 and the base station 12 may adopt communication technologies such as 2G, 3G, 4G, and 5G, which are not limited here. The base station 12 can forward the data sent by the drone 11 to the server 13 or the control terminal 14 . Communication between the base station 12 and the server 13 may be performed in a wired communication manner or a wireless communication manner, which is not limited herein. The drone 11 and the control terminal 14 can also communicate directly, for example, wireless fidelity (Wireless Fidelity, Wi-Fi), Bluetooth, Narrow Band Internet of Things (NB-IoT), LoRa, Global System for Mobile Communications (GSM), Zigbee, Ultra Wide Band (UWB), Code Division Multiple Access (CDMA), 4G, 5G and other communication technologies, which are not limited here .

The frame may include a fuselage and a foot stand (also known as a landing gear). The fuselage may include a center frame and one or more arms connected to the center frame, the one or more arms extending radially from the center frame. The tripod is connected with the fuselage, and is used for supporting the UAV 11 when it lands.

The control terminal 14 may include, but is not limited to, one or more of the following: a remote control, a smart phone, a desktop computer, a laptop computer, a wearable device, and the like.

One or more base stations 12 are deployed in the space area, and each base station 12 corresponds to a certain signal coverage. The drone can communicate with a base station 12 when the drone flies within the signal coverage of that base station 12 .

In the embodiment of the present application, when the drone 11 flies to a location point, it can measure the signal quality information of the base station whose signal coverage includes the location point, obtain the location information of the location point, and report the signal quality information and location information to server 13. Optionally, the drone 11 can send the signal quality information and location information to the base station 12 currently establishing the connection, and the base station 12 sends the signal quality information and location information to the service 13; the drone 11 can also send the signal quality information and location information to the service 13. The information and location information are sent to the control terminal 14 , and the control terminal 14 reports the signal quality information and location information to the server 13 .

The server 13 generates the signal quality distribution information according to the signal quality information and the location information, or updates the generated signal quality distribution information according to the signal quality information and the location information, so as to obtain the updated signal quality distribution information. When the drone 11 flies to the location point next time, or when other drones 11 fly to the location point, the server 13 can send the signal quality distribution information to the drone 11, so that the drone 11 can send the signal quality distribution information to the drone 11 according to the signal. Quality distribution information to control the flight and/or communication of itself to avoid flying to a location with poor signal quality, avoid establishing a connection with a base station with poor signal quality, etc. quality of communication between them.

In one scenario, when the drone 11 flies to the location point next time, or when other drones 11 fly to the location point, the server 13 may send a control instruction to the drone 11 according to the signal quality distribution information, For flight control and/or communication control of the drone 11 . In addition, the server 13 can also send the signal quality distribution information to the control terminal 14 of the UAV 11, and the control terminal 14 sends a control command to the UAV 11 according to the signal quality distribution information, so as to control the flight of the UAV 11. and/or communication control, which is not limited here.

The server 13 may be a commercial server of a communication operator, on which the relevant computing programs of the UAV are mounted, so as to update the signal quality distribution information. In addition, the server 13 may also be a background server of the drone. In addition, the server management can manage data related to one or more drones, and can also manage data related to other movable platforms, such as vehicles and ships. It is also possible to manage the relevant data of the control terminals of these mobile platforms, for example, terminal devices such as remote controllers, mobile phones, and tablet computers.

In one scenario, after the UAV 11 measures and obtains the signal quality information and position information, it can send the signal quality information and position information to the control terminal 14, and the control terminal 14 generates or updates the signal according to the signal quality information and the position information. Mass distribution information.

In one scenario, after the UAV 11 measures and obtains the signal quality information and the location information, the UAV 11 itself can generate or update the signal quality distribution information according to the signal quality information and the location information.

It should be noted that the information processing method provided in the embodiments of the present application is not limited to the above scenarios, and may also be applicable to other scenarios, which is not limited.

FIG. 2 is a flowchart of an information processing method provided by an embodiment of the present application. The execution subject of the flowchart is an electronic device, and the electronic device may be a drone, a server, a control terminal, etc. in FIG. 1 , which is not limited. The method can include:

S201. Acquire signal quality information of the base station, where the signal quality information is measured based on the communication connection with the base station during the flight of the drone.

S202. Obtain the position information of the drone when measuring the signal quality information.

In this embodiment, the signal quality information includes but is not limited to one or more of the following: received signal strength indication (Received Signal Strength Indication, RSSI), reference signal received power (Reference Signal Receiving Power, RSRP), reference signal received Quality (Reference Signal Receiving Quality, RSRQ), Signal-to-Noise Ratio (SNR), Signal to Interference plus Noise Ratio (SINR), Channel Quality Indication (CQI) , Channel State Information (CSI), Channel Impulse Response (CIR), Channel Frequency Response (CFR), Channel Matrix, Modulation and Coding Scheme (MCS), Block error rate (Block error rate, BLER), bit error rate (Bit Error Ratio, BER), etc.

Each base station corresponds to its own signal coverage. When the drone flies to a location point, it can communicate with at least some of the base stations whose signal coverage includes the location point to measure the signal quality information of at least some of the base stations at the location point. The UAV can obtain the location information of the location point through positioning devices such as global navigation satellite systems and inertial measurement units. The global navigation satellite system may be BeiDou Navigation Satellite System (BeiDou Navigation Satellite System, BDS), Global Positioning System (Global Positioning System, GPS), and the like. The location information may include three-dimensional space coordinates of the location point.

When the electronic device is other than the drone, such as a server, control terminal, etc., the drone can actively send the signal quality information and location information to the electronic device, or it can receive the electronic device's information. Upon request, the signal quality information and location information are sent to the electronic device.

S203. Determine the signal quality distribution information according to the signal quality information and the location information.

In this embodiment, the signal quality distribution information represents the signal quality distribution in the three-dimensional space. The signal quality distribution information may include location information of multiple location points and corresponding signal quality information. The signal quality distribution information can be displayed and stored in the form of a distribution diagram, a relationship table, etc., which is not limited. For example, the signal quality distribution information may be a signal quality distribution map in a three-dimensional space, and at least some of the position points in the signal quality distribution map correspond to the signal quality information. Wherein, the signal quality information corresponding to each location point includes the signal quality information of at least one base station at the location point.

The electronic device may generate signal quality distribution information according to the signal quality information and the location information. For example, for the space area where the signal quality information is collected for the first time, the electronic device can generate the signal quality distribution information according to the signal quality information and position information measured during the flight of the UAV.

The electronic device can also update the existing signal quality distribution information according to the signal quality information and the location information. For example, the electronic device may search the existing signal quality distribution information to find out whether the corresponding signal quality information already exists in the location information, and if not, store the newly measured signal quality information in association with the location information in the signal quality distribution If yes, judge whether the signal quality information corresponding to the location point is consistent with the newly measured signal quality information, and if not, update it to the newly measured signal quality information.

In the embodiment of the present application, the signal quality information of the base station is obtained by measuring the signal quality information of the base station based on the communication connection with the base station during the flight of the drone, and the position information of the drone when the signal quality information is measured is obtained, and is determined according to the signal quality information and the position information. Signal quality distribution information. Signal quality distribution information can be used to guide the communication connection between the UAV and the base station during flight, thereby improving the communication quality between the UAV and the base station.

In this embodiment of the present application, the signal quality distribution information may be used to guide the UAV to perform flight control and/or communication control, so as to improve the communication quality between the UAV and the base station during the flight. The description will be given below through seven embodiments based on the embodiment of FIG. 2 .

In the first embodiment, the signal quality distribution information is used for the target drone to select a base station for establishing a communication connection.

In this embodiment, the target UAV is a UAV flying in the target space area. The target spatial region is the spatial region corresponding to the signal quality distribution information. The target UAV can be a UAV that measures the signal quality information. When the UAV flies to the target space area next time, the base station for establishing the communication connection can be selected according to the signal quality distribution information. The target UAV may also be a UAV that flies to the target space area other than the UAV for measuring the signal quality information.

The target UAV can determine the signal quality of the base station corresponding to the specified location point according to the signal quality distribution information. When there is one base station corresponding to the designated position point, on the designated position point, the base station corresponding to the designated position point is selected to establish a communication connection. When there are multiple base stations corresponding to the designated location point, at the designated location point, a base station with the best signal quality among the multiple base stations corresponding to the designated location point is selected to establish a communication connection.

Optionally, the specified location point includes but is not limited to at least one of the following: the current location point of the target drone, the next location point where the target drone flies, and the waypoint on the preset route of the target drone. . When there are multiple base stations corresponding to the designated location point, the target UAV can obtain the signal quality information of each base station corresponding to the designated location point from the signal quality distribution information, and determine the signal quality information of each base station according to the signal quality information of each base station and the preset method. The base station with the best signal quality. The preset mode can be determined according to actual needs, which is not limited here. The preset method may be to select a piece of data in the signal quality information for comparison, and determine the base station with the best signal quality, for example, select the base station with the highest RSRQ as the base station with the best signal quality, or select the base station with the highest SINR as the signal quality optimal base station, etc. The preset manner may also be to score the base stations according to multiple pieces of data in the signal quality information, and use the base station with the highest score as the base station with the best signal quality. For example, each base station may be scored according to RSRP, RSRQ, SINR, etc., to obtain the score of each base station.

In this embodiment, the signal quality distribution information can be used for the target UAV to determine the signal quality of the base station corresponding to the specified location point, so that the target UAV does not need to perform base station measurement at each location point, which can reduce the time for base station handover , and then improve the communication quality; when there are multiple base stations corresponding to the specified location point, by selecting the base station with the best signal quality to establish a communication connection, the target UAV can be connected to the base station with relatively good signal quality, thereby improving communication. Quality; by determining in advance the next position point and the base station to be connected to the waypoint on the preset route, the appropriate time and position can be selected in advance to complete the communication link handover between the target UAV and the adjacent base station, thereby reducing the time and cost of base station handover. Time and communication overhead to ensure that the target UAV is always within the coverage of the base station with the best communication quality, thereby improving the communication quality.

In the second embodiment, the signal quality distribution information is used for the target UAV to select the route with the best signal quality from multiple routes according to the signal quality information of each waypoint on the route.

In this embodiment, in the scenario where the target UAV performs route planning, the target UAV can plan multiple routes from the starting position point to the target position point, and then determine each route in each route according to the signal quality distribution information. The signal quality of the point is determined, and the route with the best signal quality is determined from multiple routes.

The target UAV can plan multiple routes from the starting position to the target position according to the electronic map. Wherein, the starting position point and the target position point can be determined according to actual requirements, which are not limited here. For example, in the scenario where the target UAV returns to home automatically, the starting position point can be the current position point of the target UAV, and the target position point is the position point where the control terminal is located; when the user instructs the target UAV to automatically navigate to the image When collecting the position point, the starting position point can be the current position point of the target UAV, and the target position point is the position point of the image collection indicated by the user.

Optionally, the target UAV can search for corresponding signal quality information from the signal quality distribution information according to the position information of each waypoint in each route, so as to determine the signal quality of each waypoint in each route. Then for each route, the target UAV can determine the signal quality of the route according to the signal quality of each waypoint on the route. The target UAV compares the signal quality of each route, so as to determine the route with the best communication quality among the multiple routes.

Taking the scenario of the target drone automatically returning to home as an example, the user sends an instruction through the control terminal to instruct the target drone to automatically navigate from the current position back to the position of the control terminal. The target UAV can plan multiple routes from the current position to the location of the control terminal, and then select the route with the best signal quality from the multiple routes according to the signal quality distribution information, and return to the location of the control terminal along the route.

In this embodiment, the signal quality distribution information is used to determine the route with the best signal quality among the multiple routes when the target UAV is planning a route, so that the target UAV can fly along the route with the best signal quality, and the target UAV can fly along the route with the best signal quality. Communication quality between the machine and the base station.

In the third embodiment, the signal quality distribution information is used for the target UAV to avoid waypoints on the preset route where the signal quality is lower than the first threshold.

In this embodiment, in the scenario where the target UAV flies along the preset route, the waypoints on the preset route where the signal quality is lower than the first threshold can be determined according to the signal quality distribution information, and then the preset route can be adjusted to Make the adjusted preset route avoid waypoints whose signal quality is lower than the first threshold.

Optionally, when the target UAV is flying along the preset route, or before flying, the signal quality of each waypoint on the preset route can be determined according to the signal quality distribution information, and then the signal quality of each waypoint can be compared with the first one. The thresholds are compared, and if there are waypoints whose signal quality is lower than the first threshold, the preset route is adjusted so that the adjusted preset route avoids the waypoints whose signal quality is lower than the first threshold. For example, the target UAV may select one or more new waypoints within a preset range of waypoints whose signal quality is lower than the first threshold to replace the waypoints whose signal quality is lower than the first threshold to form a new waypoint or multiple waypoints. Adjusted preset route. Wherein, the first threshold may be set correspondingly according to the way of determining the signal quality, which is not limited here. For example, if the signal quality is determined by using RSRP, the first threshold may be -85dBm; if the signal quality is determined by using scores of multiple data, the first threshold may be a set score threshold.

This embodiment enables the target UAV to avoid waypoints with poor signal quality on the preset route, thereby improving the communication quality between the target UAV and the base station when flying along the preset route.

In the fourth embodiment, the signal quality distribution information is used to avoid areas where the signal quality is lower than the second threshold when the target UAV is planning a route.

In this embodiment, the target UAV may determine an area where the signal quality is lower than the second threshold according to the signal quality distribution information. When the target UAV performs route planning, a route from the starting position point to the target position point can be planned in an area other than the area where the signal quality is lower than the second threshold.

The signal quality of an area may be determined according to the signal quality of each position point in the area, and the specific determination method is not limited herein. For example, the average value of the signal quality of each position point in the area is taken as the signal quality of the area, or the minimum value of the signal quality of each position point in the area is taken as the signal quality of the area. The division of regions can be set according to actual needs, which is not limited here.

Optionally, the target UAV determines the signal quality of each location point in each area according to the signal quality distribution information, and then determines the signal quality of each area according to the signal quality of each location point in each area. The signal quality of each region is compared to a second threshold to determine regions with signal quality below the second threshold. When the target UAV is planning a route, it can plan a route from the starting position to the target position in the area outside the area where the signal quality is lower than the second threshold.

In this embodiment, the areas with poor signal quality are determined from the signal quality distribution information, and the route is made to bypass these areas when the target UAV performs route planning, so as to prevent the target UAV from flying to the area with poor signal quality, and improve the target unmanned aerial vehicle. Communication quality between the machine and the base station.

In the fifth embodiment, the signal quality distribution information is used for the target drone to send warning information to the control terminal when the target drone is near an area where the signal quality is lower than the second threshold.

In this embodiment, the target UAV may determine, according to preset proximity conditions, an area where the target UAV is in proximity to a region where the signal quality is lower than the second threshold. The preset proximity condition is not limited here. For example, the preset proximity condition may be that the distance between the current position of the target UAV and the area is less than the preset distance threshold, or it may be that the target UAV enters the area with the area as the within the preset space in the center, etc.

For example, in the scenario where the user manually controls the flight of the target UAV through the control terminal, the target UAV can send a warning message to the control terminal to prompt the user to control the proximity of the area where the signal quality is lower than the second threshold. The target drone does not enter the area.

In this embodiment, when the target UAV is close to an area with poor signal quality, the user is prompted with warning information, which can prevent the user from controlling the target UAV to fly to an area with poor signal quality, and improve the relationship between the target UAV and the base station when flying. communication quality between them.

In the sixth embodiment, the signal quality distribution information is used to disconnect the communication connection with the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and establish a communication connection with the control terminal of the target drone communication connection.

In this embodiment, when the target drone has flown to an area where the signal quality is lower than the second threshold, the communication mode of the target drone can be switched from data transmission through the base station to data transmission through the control terminal , so as to ensure that the data transmission of the target UAV is not interrupted.

In the seventh embodiment, the signal quality distribution information is used to stop sending the collected images through the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and after leaving the area where the signal quality is lower than the second threshold, Recover images acquired by sending the base station.

In this embodiment, when the flight task of the target UAV is to collect images, when the target UAV has flown to an area where the signal quality is lower than the second threshold, the transmission of the collected images through the base station can be stopped first to prevent the Image transmission errors caused by poor signal quality. The target drone can continue to acquire images and store the images in the target drone's internal memory. After the target drone flies out of the area, the image in the internal memory is sent to the base station, and the base station sends the image to the server or control terminal.

In this embodiment, when the target drone is located in an area where the signal quality is lower than the second threshold, it stops sending the collected images through the base station, and resumes sending the collected images through the base station after leaving the area, thereby preventing image transmission errors.

As an embodiment of the present application, on the basis of any of the foregoing embodiments, the signal quality information and the location information are further used to update the communication policy model. The method may also include:

According to the signal quality information and location information, the communication strategy model is updated, and the communication strategy model is used for the target UAV to determine the communication parameters to communicate with the base station.

In this embodiment, a communication strategy model is preset in the electronic device. The communication strategy model can be pre-generated according to the location information and the corresponding signal quality information, and is used for the UAV to determine the communication parameters with the base station. The communication parameters may include, but are not limited to, at least one of the following: beamforming parameters, channel coding strategies, channel modulation strategies, channel types, and the like.

The specific form of the communication strategy model is not limited here, for example, the communication strategy model may include a communication parameter prediction model based on deep learning. The input of the communication parameter prediction model is location information, and the output is communication parameters. The generation process of the communication parameter prediction model may be: constructing a communication parameter prediction model based on deep learning in advance; then acquiring a plurality of position information and its corresponding signal quality information, and determining each position information according to the signal quality information corresponding to each position information Corresponding communication parameters; then form a sample set of each location information and its corresponding communication parameters, and use the sample set to train the constructed communication parameter prediction model, thereby generating a communication parameter prediction model, so that the communication parameter prediction model can be based on the input. The location information output predicted communication parameters.

The communication policy model may also include location information and a mapping relationship table of communication parameters. In the mapping relationship table, each location information corresponds to a respective communication parameter. When the UAV is flying on the position point of the position information, the communication quality of the communication with the base station is the best by using the communication parameters. The generation process of the mapping relationship table may be: acquiring a plurality of location information and its corresponding signal quality information; then determining the communication parameters corresponding to each location information according to the signal quality information corresponding to each location information; The communication parameters are associated and stored to obtain a mapping table.

In this embodiment, through the communication strategy model, the UAV can use appropriate communication parameters to communicate with the base station, thereby improving the communication quality with the base station. After the electronic device obtains the signal quality information and the location information, it can update the communication strategy model according to the signal quality information and the location information.

Optionally, when the communication strategy model includes a deep learning-based communication parameter prediction model, the communication strategy model is updated according to the signal quality information and location information, which may specifically include:

Generate training samples according to signal quality information and location information;

Add training samples to the training set;

The communication parameter prediction model is trained according to the training set to update the communication parameter prediction model.

In this embodiment, the training samples include location information and its corresponding communication parameters. The communication parameters corresponding to the location information can be determined according to the signal quality information, and then the location information and its corresponding communication parameters are formed into training samples and added to the training set. The current communication parameter prediction model is trained by using the training set to obtain an updated communication parameter prediction model.

In this embodiment, the communication parameter prediction model is updated through the signal quality information and location information, which can improve the prediction accuracy of the communication parameter prediction model.

Optionally, when the communication strategy model includes the location information and the mapping relationship table of the communication parameters, the communication strategy model is updated according to the signal quality information and the location information, which may specifically include:

Determine the communication parameters corresponding to the location information according to the signal quality information;

Update the location information and the communication parameters corresponding to the location information into the mapping relationship table.

In this embodiment, the mapping relationship table is updated through the signal quality information and the location information, so that the data in the mapping relationship table can be updated in time, so that the mapping relationship table is more complete.

FIG. 3 is a flowchart of an information processing method provided by another embodiment of the present application. The execution subject of this method is the UAV in Figure 1. As shown in Figure 3, the method may include:

S301 , the drone acquires signal quality information of the base station, and the signal quality information is obtained by measurement based on the communication connection with the base station during the flight of the drone.

S302, the drone obtains the position information of the drone when the measurement signal quality information is obtained.

S303. The drone sends signal quality information and location information to the server, where the signal quality information and location information are used by the server to determine signal quality distribution information.

In this embodiment, when the drone flies to a location point during the flight, it can communicate with at least part of the base stations whose signal coverage includes the location point, so as to measure the signal quality information of at least part of the base stations at the location point . The UAV can obtain the location information of the location point through positioning devices such as global navigation satellite systems and inertial measurement units. The signal quality information and the location information are sent to the server, and the server determines the signal quality distribution information according to the signal quality information and the location information.

In the embodiment of the present application, the signal quality information of the base station is obtained by measuring the signal quality information of the base station based on the communication connection with the base station during the flight of the drone, and the position information of the drone when the signal quality information is measured, and the signal quality information and the position are sent to the server. The server determines the signal quality distribution information according to the signal quality information and location information. The signal quality distribution information can be used to guide the communication connection with the base station during the flight of the drone, thereby improving the communication quality between the drone and the base station.

Optionally, S303 may specifically include: sending signal quality information and location information to the server through a base station that establishes a communication connection with the drone or a control terminal of the drone.

In this embodiment, the drone may send the signal quality information and the location information to the base station currently establishing the communication connection, and the base station sends the signal quality information and the location information to the server. The drone can also send signal quality information and location information to the control terminal, and the control terminal sends the signal quality information and location information to the server.

As an embodiment of the present application, on the basis of the embodiment shown in FIG. 3 , the signal quality distribution information includes location information and signal quality information of multiple location points.

In this embodiment of the present application, the signal quality distribution information may be used to guide the UAV to perform flight control and/or communication control, so as to improve the communication quality between the UAV and the base station during the flight. The following description will be given through a plurality of embodiments based on the embodiment of FIG. 3 .

In one embodiment, the signal quality distribution information is used by the target drone to select a base station for establishing a communication connection.

In one embodiment, the signal quality distribution information is used for the target UAV to select the route with the best signal quality from multiple routes according to the signal quality information of each waypoint on the route.

In one embodiment, the signal quality distribution information is used for the target UAV to avoid waypoints on a preset route where the signal quality is lower than the first threshold.

In one embodiment, the signal quality distribution information is used for the target UAV to avoid areas where the signal quality is lower than the second threshold when planning a route.

In one embodiment, the signal quality distribution information is used for the target drone to send warning information to the control terminal when the target drone is in the vicinity of an area where the signal quality is lower than the second threshold.

In one embodiment, the signal quality distribution information is used to disconnect the communication connection with the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and establish communication with the control terminal of the target drone communication connection.

In one embodiment, the signal quality distribution information is used to stop sending the collected images through the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and after leaving the area where the signal quality is lower than the second threshold, Recover images acquired by sending the base station.

Optionally, in the above-mentioned embodiment, the target UAV is a UAV flying in the target space area.

As an embodiment of the present application, on the basis of the embodiment shown in FIG. 3 , or on the basis of any embodiment based on FIG. 3 , the signal quality information and the location information are also used for the server to update the communication strategy model, and the communication The policy model is used for the target UAV to determine the communication parameters to communicate with the base station.

In one implementation, the communication policy model includes a deep learning-based communication parameter prediction model.

In another implementation manner, the communication policy model includes a mapping relationship table of location information and communication parameters.

The information processing method of this embodiment is similar to the technical solution of FIG. 2 and the corresponding method embodiment, and its implementation principle and technical effect are similar, and are not repeated here.

FIG. 4 is a flowchart of an information processing method provided by another embodiment of the present application. The execution body of the method is the server in FIG. 1 . As shown in Figure 4, the method may include:

S401. The server receives the signal quality information and location information sent by the drone, wherein the signal quality information is measured based on the communication connection with the base station during the flight of the drone, and the location information is the signal quality information of the drone when the signal quality information is measured. location information.

S402. The server determines the signal quality distribution information according to the signal quality information and the location information.

In this embodiment, when the drone flies to a location point during the flight, it can communicate with at least part of the base stations whose signal coverage includes the location point, so as to measure the signal quality information of at least part of the base stations at the location point . The UAV can obtain the location information of the location point through positioning devices such as global navigation satellite systems and inertial measurement units. The drone sends signal quality information and location information to the server. The server receives the signal quality information and location information sent by the drone, and determines the signal quality distribution information according to the signal quality information and location information.

In the embodiment of the present application, the signal quality information of the base station is obtained by measuring the signal quality information of the base station based on the communication connection with the base station during the flight of the drone, and the position information of the drone when the signal quality information is measured, and the signal quality information and the position are sent to the server. The server determines the signal quality distribution information according to the signal quality information and location information. The signal quality distribution information can be used to guide the communication connection between the UAV and the base station during the flight process, thereby improving the communication quality between the UAV and the base station.

Optionally, S402 may include: the server receives signal quality information and location information sent by a base station that establishes a communication connection with the drone or a control terminal of the drone.

In this embodiment, the server may receive signal quality information and location information forwarded by the base station, and may also receive signal quality information and location information sent by the control terminal.

Optionally, in this implementation manner, the communication strategy model is updated according to the signal quality information and the location information, which may specifically include:

Add training samples to the training set;

FIG. 5 is a signaling interaction diagram of an information processing method provided by an embodiment of the present application. The execution subjects of the signal interaction diagram include drones and servers. The method includes:

S501 , the drone acquires signal quality information of the base station, and the signal quality information is obtained by measurement based on the communication connection with the base station during the flight of the drone.

S502, the drone obtains the position information of the drone when the measurement signal quality information is obtained.

S503, the drone sends signal quality information and location information to the server.

S504. The server determines the signal quality distribution information according to the signal quality information and the location information.

The information processing method of this embodiment is similar to the technical solutions of FIG. 3 , FIG. 4 and the corresponding method embodiments, and its implementation principle and technical effect are similar, and are not repeated here.

FIG. 6 is a flowchart of an information processing method provided by yet another embodiment of the present application. The execution subject of this method is a drone. As shown in Figure 6, the method may include:

S601, the drone receives the signal quality distribution information sent by the server.

In this embodiment, during the flight of the drone, a request may be sent to the server to request the server to deliver the signal quality distribution information. Optionally, the request may carry the location information of the specified location point, so as to request the server to deliver the signal quality distribution information of the target space area including the specified location point. The specified location point may include, but is not limited to, at least one of the following: the current location point of the drone, the next location point of the drone flight, a waypoint on a preset route of the drone, and the like.

During the flight of the UAV, it can also receive the signal quality distribution information actively sent by the server. The signal quality distribution information can be determined and distributed by the server according to the current position of the UAV, including the position point. Signal quality distribution information for the target spatial region.

S602, the drone selects a base station for establishing a communication connection according to the signal quality distribution information.

In this embodiment, the drone receives the signal quality distribution information sent by the server, and according to the signal quality distribution information, selects the base station to which the communication connection is to be established during the flight, so that the drone can have relatively good communication quality during the flight. The base station establishes a communication connection to improve the communication quality with the base station during the flight.

Optionally, the signal quality distribution information includes location information of multiple location points and signal quality information.

Optionally, during the flight of the drone, on the one hand, according to the signal quality distribution information, select the base station for establishing the communication connection, on the other hand, measure at least some of the base stations whose signal coverage includes the location of the drone to obtain The signal quality information of at least part of the base stations is uploaded to the server, so that the server can update the signal quality distribution information according to the signal quality information and the corresponding location information.

On the basis of the embodiment provided in FIG. 6 , FIG. 7 is a flowchart of an information processing method provided by another embodiment of the present application. As shown in Figure 7, the method may include:

S701, the drone receives the signal quality distribution information sent by the server.

S702, the drone determines the signal quality of the base station corresponding to the specified location point according to the signal quality distribution information.

S703. When there is one base station corresponding to the UAV at the designated position, the UAV selects the base station corresponding to the designated position at the designated position to establish a communication connection; when there are multiple base stations corresponding to the designated position, no At the designated position, the man-machine selects the base station with the best signal quality among the multiple base stations corresponding to the designated position to establish a communication connection.

In this embodiment, the specified position point includes but is not limited to at least one of the following: the current position point of the drone, the next position point of the drone flight, and the waypoint on the preset route of the drone.

When there are multiple base stations corresponding to the designated location point, the UAV can obtain the signal quality information of each base station corresponding to the designated location point from the signal quality distribution information, and determine the signal quality of each base station according to the signal quality information and preset conditions of each base station. The best quality base station. The preset mode can be determined according to actual needs, which is not limited here. The preset method may be to select a piece of data in the signal quality information for comparison, and determine the base station with the best signal quality, for example, select the base station with the highest RSRQ as the base station with the best signal quality, or select the base station with the highest SINR as the signal quality optimal base station, etc. The preset manner may also be to score the base stations according to multiple pieces of data in the signal quality information, and use the base station with the highest score as the base station with the best signal quality. For example, each base station may be scored according to RSRP, RSRQ, SINR, etc., to obtain the score of each base station.

In this embodiment, the UAV determines the signal quality of the base station corresponding to the designated location point according to the signal quality distribution information, so that the UAV does not need to measure the base station at each location point, which can reduce the time for base station handover, thereby improving the Communication quality; when there are multiple base stations corresponding to a designated location, by selecting the base station with the best signal quality to establish a communication connection, the drone can be connected to a base station with relatively good signal quality, thereby improving communication quality; Determine the base station to be connected to the next position point and the waypoint on the preset route, and can select the appropriate time and position in advance to complete the communication link handover between the UAV and the adjacent base station, thereby reducing the time and communication overhead of base station handover, Ensure that the drone is always within the coverage of the base station with the best communication quality, thereby improving the communication quality.

Based on the embodiment provided in FIG. 6 or FIG. 7 , FIG. 8 is a flowchart of an information processing method provided by the next embodiment of the present application. In this embodiment, the UAV determines the route with the best signal quality according to the signal quality distribution information. As shown in Figure 8, the method may further include:

S801, the drone determines multiple routes from the starting position point to the target position point.

In this embodiment, the UAV can plan multiple routes from the starting position point to the target position point according to the electronic map. Wherein, the starting position point and the target position point can be determined according to actual requirements, which are not limited here. For example, in the scenario where the drone automatically returns to home, the starting position point can be the current position point of the drone, and the target position point is the position point where the control terminal is located; when the user instructs the drone to automatically navigate to the position where the image is collected When clicking, the starting position point can be the current position point of the drone, and the target position point is the position point of the image acquisition indicated by the user.

S802, the UAV determines the route with the best signal quality from the multiple routes according to the signal quality distribution information.

In this embodiment, the UAV can determine the signal quality information of each waypoint on each route according to the signal quality distribution information, and then determine the signal quality from multiple routes based on the signal quality information of each waypoint on each route the best route.

Optionally, S802 may include:

According to the signal quality distribution information, determine the signal quality of each waypoint in each route;

For each route, determine the signal quality of the route according to the signal quality of each waypoint on the route;

According to the signal quality of each route, determine the route with the best signal quality.

In this embodiment, the UAV can search for corresponding signal quality information from the signal quality distribution information according to the position information of each waypoint in each route, so as to determine the signal quality of each waypoint in each route. The signal quality of the waypoint can be determined by one or more pieces of data in the signal quality information corresponding to the waypoint, and the specific determination method is not limited here. For example, it can be determined according to the RSRP in the signal quality information corresponding to the waypoint. , RSRQ, SINR to determine the signal quality of the waypoint. The signal quality of a waypoint can be expressed by a score. The higher the score, the better the signal quality. For each route, the UAV can determine the signal quality of the route according to the signal quality of each waypoint on the route. For example, the signal quality of each waypoint corresponds to a score, and the calculation result such as the sum or average of the scores of each waypoint on the route can be used as the signal quality of the route. The UAV compares the signal quality of each route to determine the route with the best communication quality among the multiple routes.

S803, the drone controls the drone to fly according to the route with the best signal quality.

In this embodiment, the UAV can determine the signal quality information of each waypoint on each route according to the signal quality distribution information, and then determine the signal quality from multiple routes based on the signal quality information of each waypoint on each route the best route. The drone controls itself to fly on the route with the best signal quality.

In this embodiment, the UAV determines the route with the best signal quality from multiple routes according to the signal quality distribution information, and then flies according to the route with the best quality, which can improve the communication quality with the base station during flight along the route.

On the basis of any of the embodiments shown in FIGS. 6-8 , the method may further include:

According to the signal quality distribution information, determine the waypoints on the preset route where the signal quality is lower than the first threshold;

The preset route is adjusted so that the adjusted preset route avoids waypoints whose signal quality is lower than the first threshold.

In this embodiment, when the UAV flies along the preset route or before flying, the signal quality of each waypoint on the preset route can be determined according to the signal quality distribution information, and then the signal quality of each waypoint can be compared with the first The thresholds are compared, and if there are waypoints whose signal quality is lower than the first threshold, the preset route is adjusted so that the adjusted preset route avoids the waypoints whose signal quality is lower than the first threshold. For example, the UAV may select other newly added waypoints within a preset range of waypoints whose signal quality is lower than the first threshold to replace the waypoints whose signal quality is lower than the first threshold, forming Adjusted preset route. Wherein, the first threshold may be set correspondingly according to the way of determining the signal quality, which is not limited here. For example, if the signal quality is determined by RSRP, the first threshold may be -85dBm; if the signal quality is determined by using scores of multiple data, the first threshold is a set score threshold.

This embodiment enables the UAV to avoid the waypoints with low signal quality on the preset route, thereby improving the communication quality between the UAV and the base station when the UAV flies along the preset route.

According to the signal quality distribution information, determine the area where the signal quality is lower than the second threshold;

In areas other than the area where the signal quality is lower than the second threshold, a route from the starting location point to the target location point is planned.

In this embodiment, the signal quality of an area may be determined according to the signal quality of each position point in the area, and the specific determination method is not limited herein. For example, the average value of the signal quality of each position point in the area is taken as the signal quality of the area, or the minimum value of the signal quality of each position point in the area is taken as the signal quality of the area. The division of regions can be set according to actual needs, which is not limited here.

The UAV determines the signal quality of each location point in each area according to the signal quality distribution information, and then determines the signal quality of each area based on the signal quality of each location point in each area. The signal quality of each region is compared to a second threshold to determine regions with signal quality below the second threshold. When the UAV is planning a route, it can plan a route from the starting position point to the target position point in the area outside the area where the signal quality is lower than the second threshold.

In this embodiment, the areas with poor signal quality are determined from the signal quality distribution information, and the routes are made to bypass these areas when the UAV performs route planning, so as to prevent the UAV from flying to the area with poor signal quality, and improve the flight time of the UAV. Communication quality with the base station.

When approaching an area where the signal quality is lower than the second threshold, send a warning message to the control terminal of the drone.

In this embodiment, the drone may determine, according to the preset proximity condition, an area where the drone's proximity signal quality is lower than the second threshold. The preset proximity condition is not limited here. For example, the preset proximity condition may be that the minimum distance between the current position of the drone and the area is less than the preset distance threshold, or it may be that the drone enters the area with the area as the minimum distance. within the preset space in the center, etc.

For example, in a scenario where the user manually controls the flight of the UAV through the control terminal, the UAV can send a warning message to the control terminal to prompt the user to control the UAV when it is determined that the area where the signal quality is lower than the second threshold is near. Do not enter this area.

In this embodiment, when the drone is approaching an area with poor signal quality, the user is prompted by warning information, which can prevent the user from controlling the drone to fly to an area with poor signal quality, and improve the communication between the drone and the base station when flying. quality.

When the drone is located in an area where the signal quality is lower than the second threshold, the communication connection with the base station is disconnected, and the communication connection with the control terminal of the drone is established.

In this embodiment, when the drone has flown to an area where the signal quality is lower than the second threshold, the communication mode of the drone can be switched from data transmission through the base station to data transmission through the control terminal, thereby Ensure that the data transmission of the drone is not interrupted.

When the drone is located in an area where the signal quality is lower than the second threshold, stop sending the collected images through the base station, and resume sending the collected images through the base station after leaving the area where the signal quality is lower than the second threshold.

In this embodiment, when the UAV's flight mission is to collect images, when the UAV has flown to an area where the signal quality is lower than the second threshold, the transmission of the collected images through the base station can be stopped first to prevent the communication quality data transmission errors caused by the difference. The drone can continue to acquire images and store the images in the internal memory of the target drone. After the drone leaves the area, the image in the internal memory is sent to the base station, and the base station sends the image to the server or control terminal.

In this embodiment, when the drone is located in an area where the signal quality is lower than the second threshold, it stops sending the collected images through the base station, and resumes sending the collected images through the base station after leaving the area, thereby preventing image transmission errors.

On the basis of any of the embodiments shown in FIG. 6 to FIG. 8 , FIG. 9 is a flowchart of an information processing method provided by another embodiment of the present application. As shown in Figure 9, the method includes:

S901, the drone receives the signal quality distribution information sent by the server.

S902, the drone selects a base station for establishing a communication connection according to the signal quality distribution information.

S903, the UAV determines the communication parameters for the communication between the UAV and the base station according to the communication strategy model.

In this embodiment, the communication strategy model may be preset, or may be sent to the drone by the server, which is not limited herein. The communication strategy model can be pre-generated according to the location information and the corresponding signal quality information, and is used for the UAV to determine the communication parameters with the base station. The communication parameters may include, but are not limited to, at least one of the following: beamforming parameters, channel coding strategies, channel modulation strategies, channel types, and the like.

The specific form of the communication strategy model is not limited here, for example, the communication strategy model may include a communication parameter prediction model based on deep learning. The input of the communication parameter prediction model is location information, and the output is communication parameters. The communication policy model may also include location information and a mapping relationship table of communication parameters. In the mapping relationship table, each location information corresponds to a respective communication parameter.

In this embodiment, the UAV determines the communication parameters for communicating with the base station according to the communication strategy model, so that the UAV can use appropriate communication parameters to communicate with the base station, thereby improving the communication quality between the UAV and the base station .

In addition, the base station can optimize the communication link parameters in advance according to the communication quality distribution information of the flight area that the UAV needs to travel. For example, if it is known that the UAV passes through the target waypoint, the communication coverage quality of the target waypoint can be enhanced by adjusting parameters such as beamforming parameters, channel coding strategy, channel modulation strategy, and channel type.

For specific application scenarios including power line patrol, tower patrol, etc., the base station communication strategy can be further customized according to the signal quality distribution information, such as adding base stations in areas with poor signal, or enhancing the signal of the original base station, etc.

Optionally, on the basis of the embodiment shown in FIG. 9, S903 may include:

Determine the target location point for the drone to fly;

Determine the target communication parameters of the target location point according to the communication strategy model;

Control the drone at the target position, and use the target communication parameters of the target position to communicate with the base station.

In this embodiment, the target position point is the position point of the communication parameter to be determined. For example, the target position point may include, but is not limited to, at least one of the following: the next position point of the drone flight, the preset position point of the drone waypoints on the route, etc.

When the communication strategy model is a communication parameter prediction model based on deep learning, the UAV can input the position information of the target location point into the communication parameter prediction model to obtain the communication parameters output by the communication parameter prediction model, which is the target Target communication parameters for the location point.

When the communication strategy model is a mapping relationship table of location information and communication parameters, the UAV can find the communication parameters corresponding to the location information of the target location point in the mapping relationship table, that is, the target communication parameters of the target location point.

In this embodiment, the UAV determines the target communication parameters of the target position point according to the communication strategy model, and can determine the target communication parameters in advance before reaching the target position point, and then adjust the communication link in advance according to the target communication parameters, Avoid the degradation of communication quality caused by slow adjustment of the communication link, and improve the communication quality between the drone and the base station.

Optionally, on the basis of the embodiment shown in FIG. 9, S903 may include:

Get the current location information of the drone;

Input the current location information into the communication strategy model, and obtain the target communication parameters output by the communication strategy model;

The control drone uses the target communication parameters to communicate with the base station.

In this embodiment, when the communication strategy model is a communication parameter prediction model based on deep learning, the UAV can input the current position information into the communication parameter prediction model to obtain the target communication parameters output by the communication parameter prediction model. When the communication strategy model is a mapping relationship table of location information and communication parameters, the UAV can look up the target communication parameters corresponding to the current location information in the mapping relationship table.

In this embodiment, the UAV determines the target communication parameters of the current position information according to the communication strategy model, and can adjust the communication link of the current position in time according to the target communication parameters, so as to improve the adjustment speed of the communication link and improve the unmanned aerial vehicle. Communication quality between the machine and the base station.

FIG. 10 is a flowchart of an information processing method provided by still another embodiment of the present application. The execution body of this method is the server. As shown in Figure 10, the method may include:

S1001. The server sends signal quality distribution information to the UAV. The signal quality distribution information is used by the UAV to select the base station for establishing the communication connection.

In this embodiment, the server may send the signal quality distribution information to the UAV when receiving the request of the UAV; it may also actively send the signal quality distribution information to the UAV when the UAV is flying.

In this embodiment, the server sends the signal quality distribution information to the UAV, so that the UAV can select the base station to establish a communication connection during the flight according to the signal quality distribution information, so that the UAV can communicate with the UAV during the flight. A base station with relatively good quality establishes a communication connection to improve the communication quality with the base station during the flight.

Optionally, the communication strategy model includes a deep learning-based communication parameter prediction model. Or, the communication strategy model includes a mapping relationship table of location information and communication parameters.

On the embodiment shown in FIG. 10 , FIG. 11 is a flowchart of an information processing method provided by another embodiment of the present application. As shown in Figure 11, the method includes:

S1101. The server sends signal quality distribution information to the drone. The signal quality distribution information is used by the UAV to select the base station for establishing the communication connection.

S1102. The server sends a communication strategy model to the drone, where the communication strategy model is used for the drone to determine communication parameters for communicating with the base station.

In this embodiment, the communication policy model is stored in the server. The server can send the communication strategy model to the drone, so that the drone can determine the communication parameters for communicating with the base station according to the communication strategy model. The server can also update the communication strategy model according to the location information collected when the UAV is flying and the signal quality information of the base station. It should be noted that the execution order of S1101 and S1102 is not limited here, and the two may be executed one after the other, or may be executed in parallel.

The information processing method of this embodiment is similar to the technical solutions of FIG. 6 and the corresponding method embodiment, and its implementation principle and technical effect are similar, and details are not repeated here.

FIG. 12 is a signaling interaction diagram of an information processing method provided by an embodiment of the present application. The main body of the signal interaction diagram is the drone and the server. The method includes:

S1201. The server sends signal quality distribution information to the UAV.

S1202, the drone selects a base station for establishing a communication connection according to the signal quality distribution information.

S1203, the server sends the communication strategy model to the UAV.

S1204, the UAV determines the communication parameters for the communication between the UAV and the base station according to the communication strategy model.

The information processing method of this embodiment is similar to the technical solutions of FIG. 6 , FIG. 10 and the corresponding method embodiments, and its implementation principle and technical effect are similar, and are not repeated here.

FIG. 13 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in FIG. 13 , the electronic device 130 includes: a communication module 1301 and a processor 1302 .

The communication module 1301 is used to obtain the signal quality information of the base station, and the signal quality information is measured based on the communication connection with the base station during the flight of the drone;

The communication module 1301 is further configured to obtain the position information of the drone when measuring the signal quality information;

The processor 1302 is configured to determine signal quality distribution information according to the signal quality information and the location information.

Optionally, the signal quality distribution information is used for the target drone to select a base station for establishing a communication connection.

Optionally, the signal quality distribution information is used for the target UAV to select the route with the best signal quality from multiple routes according to the signal quality information of each waypoint on the route.

Optionally, the signal quality distribution information is used for the target UAV to avoid waypoints on the preset route where the signal quality is lower than the first threshold.

Optionally, the signal quality distribution information is used for the target UAV to avoid areas where the signal quality is lower than the second threshold when planning a route.

Optionally, the signal quality distribution information is used for the target UAV to send warning information to the control terminal when the target drone is near an area where the signal quality is lower than the second threshold.

Optionally, the signal quality distribution information is used to disconnect the communication connection with the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and establish communication with the control terminal of the target drone connect.

Optionally, the signal quality distribution information is used to stop sending the collected images through the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and resume passing after leaving the area where the signal quality is lower than the second threshold. The base station transmits the acquired images.

Optionally, the processor 1302 is further configured to:

Optionally, the communication strategy model includes a deep learning-based communication parameter prediction model.

Optionally, processor 1302 for:

Add training samples to the training set;

Optionally, the communication strategy model includes a mapping relationship table of location information and communication parameters.

Optionally, processor 1302 for:

Optionally, the target UAV is a UAV flying in the target space area.

The electronic device in this embodiment can be used to implement the technical solutions of FIG. 2 and the corresponding method embodiment, and the implementation principles and technical effects thereof are similar, and are not repeated here.

FIG. 14 is a schematic structural diagram of an unmanned aerial vehicle provided by another embodiment of the present application. As shown in FIG. 14 , the drone 140 includes: a processor 1401 and a communication module 1402 .

The processor 1401 is configured to acquire signal quality information of the base station, where the signal quality information is measured based on the communication connection with the base station during the flight of the drone;

The processor 1401 is further configured to obtain the position information of the drone when measuring the signal quality information;

The communication module 1402 is configured to send signal quality information and location information to the server, where the signal quality information and location information are used for the server to determine signal quality distribution information.

Optionally, the signal quality information and the location information are also used for the server to update the communication strategy model, and the communication strategy model is used for the target UAV to determine the communication parameters for communicating with the base station.

Optionally, the target UAV is a UAV flying in the target space area.

Optionally, the communication module 1401 is used for:

Send signal quality information and location information to the server through the base station that establishes a communication connection with the drone or the control terminal of the drone.

The unmanned aerial vehicle of this embodiment can be used to implement the technical solutions of FIG. 3 and the corresponding method embodiment, and the implementation principles and technical effects thereof are similar, and will not be repeated here.

FIG. 15 is a schematic structural diagram of a server provided by another embodiment of the present application. As shown in FIG. 15 , the server 150 includes: a communication module 1501 and a processor 1502 .

The communication module 1501 is used to receive the signal quality information and position information sent by the drone, wherein the signal quality information is measured based on the communication connection with the base station during the flight of the drone, and the position information is not available when measuring the signal quality information. The location information of the man-machine;

The processor 1502 is configured to determine signal quality distribution information according to the signal quality information and the location information.

Optionally, processor 1502 for

Optionally, processor 1502 for:

Add training samples to the training set;

Optionally, processor 1502 for:

Optionally, the target UAV is a UAV flying in the target space area.

Optionally, the communication module 1501 is used for:

Receive signal quality information and location information sent by the base station that establishes a communication connection with the drone or the control terminal of the drone.

The server in this embodiment may be used to execute the technical solutions of FIG. 4 and the corresponding method embodiments, and the implementation principles and technical effects thereof are similar, and are not repeated here.

FIG. 16 is a schematic structural diagram of an unmanned aerial vehicle provided by yet another embodiment of the present application. As shown in FIG. 16 , the drone 160 includes: a communication module 1601 and a processor 1602 .

The communication module 1601 is configured to receive the signal quality distribution information sent by the server.

The processor 1602 is configured to select a base station for establishing a communication connection according to the signal quality distribution information.

Optionally, processor 1602 for:

Determine the signal quality of the base station corresponding to the specified location point according to the signal quality distribution information;

When there is one base station corresponding to the designated location point, the UAV selects the base station corresponding to the designated location point at the designated location point to establish a communication connection;

When there are multiple base stations corresponding to the specified location point, the UAV selects the base station with the best signal quality among the multiple base stations corresponding to the specified location point at the specified location point to establish a communication connection.

Optionally, the specified location point includes at least one of the following:

The current position point of the drone, the next position point of the drone flight, and the waypoint on the preset route of the drone.

Optionally, the processor 1602 is further configured to:

Determine multiple routes from the starting position point to the target position point;

According to the signal quality distribution information, determine the route with the best signal quality from multiple routes;

Control the drone to fly according to the route with the best signal quality.

Optionally, processor 1602 for:

Optionally, the processor 1602 is further configured to:

According to the communication strategy model, the communication parameters for the communication between the UAV and the base station are determined.

Optionally, the communication policy model is preset or sent by the server.

Optionally, processor 1602 for:

Determine the target location point for the drone to fly;

Optionally, processor 1602 for:

Get the current location information of the drone;

The UAV of this embodiment can be used to implement the technical solutions of FIGS. 6 to 9 and the corresponding method embodiments, and the implementation principles and technical effects thereof are similar, and will not be repeated here.

FIG. 17 is a schematic structural diagram of a server provided by yet another embodiment of the present application. As shown in FIG. 17 , the server 170 includes: a communication module 1701 .

A communication module 1701, configured to send signal quality distribution information to the UAV;

The signal quality distribution information is used by the UAV to select the base station for establishing the communication connection.

Optionally, the communication module 1701 is further used for:

The communication strategy model is sent to the UAV, and the communication strategy model is used for the UAV to determine the communication parameters for communicating with the base station.

The server in this embodiment may be used to execute the technical solutions of FIG. 10 and the corresponding method embodiments, and the implementation principles and technical effects thereof are similar, and are not repeated here.

A readable storage medium is also provided in the embodiment of the present application, and a computer program is stored on the readable storage medium; when the computer program is executed, part or all of the information processing method in FIG. 2 and its corresponding embodiments is implemented. step.

Embodiments of the present application also provide a readable storage medium on which a computer program is stored; when the computer program is executed, part or all of the information processing method in FIG. 3 and its corresponding embodiments is implemented. step.

The embodiment of the present application also provides a readable storage medium, on which a computer program is stored; when the computer program is executed, part or all of the information processing method in FIG. 4 and its corresponding embodiments is implemented. step.

Embodiments of the present application also provide a readable storage medium, on which a computer program is stored; when the computer program is executed, the information processing shown in FIG. 6 to FIG. 9 and its corresponding embodiments is implemented. some or all of the steps of the method.

The embodiments of the present application also provide a readable storage medium, on which a computer program is stored; when the computer program is executed, it implements part of the information processing method in FIG. 10 and its corresponding embodiments or all steps.

Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by program instructions related to hardware, the aforementioned program can be stored in a computer-readable storage medium, and when the program is executed, execute Including the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disks or optical disks and other various programs that can store program codes medium.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features thereof can be equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present application. Scope.

Claims

An information processing method, characterized in that the method comprises:

acquiring signal quality information of the base station, the signal quality information is measured based on the communication connection with the base station during the flight of the drone;

Obtain the position information of the UAV when measuring the signal quality information;

Signal quality distribution information is determined according to the signal quality information and the location information.
The method according to claim 1, wherein the signal quality distribution information includes location information and signal quality information of multiple location points.
The method according to claim 1, wherein the signal quality distribution information is used for the target drone to select a base station for establishing a communication connection.
The method according to claim 1, wherein the signal quality distribution information is used for the target UAV to select the route with the best signal quality from multiple routes according to the signal quality information of each waypoint on the route.
The method according to claim 1, wherein the signal quality distribution information is used for the target UAV to avoid waypoints on a preset route where the signal quality is lower than the first threshold.
The method according to claim 1, wherein the signal quality distribution information is used to avoid areas where the signal quality is lower than the second threshold when the target UAV is planning a route.
The method according to claim 1, wherein the signal quality distribution information is used for the target UAV to send warning information to the control terminal when it is near an area where the signal quality is lower than the second threshold.
The method according to claim 1, wherein the signal quality distribution information is used to disconnect the communication connection with the base station when the target drone is located in an area where the signal quality is lower than the second threshold The communication connection between the control terminals of the target UAV.
The method according to claim 1, wherein the signal quality distribution information is used to stop sending the collected images through the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and when leaving the signal quality After the area is lower than the second threshold value, the image collected by sending the base station is resumed.
The method according to claim 1, wherein the method further comprises:

According to the signal quality information and the location information, a communication strategy model is updated, and the communication strategy model is used for the target drone to determine communication parameters for communicating with the base station.
The method according to claim 10, wherein the communication strategy model comprises a communication parameter prediction model based on deep learning.
The method according to claim 11, wherein updating the communication policy model according to the signal quality information and the location information, comprising:

generating training samples according to the signal quality information and the location information;

adding the training samples to the training set;

The communication parameter prediction model is trained according to the training set to update the communication parameter prediction model.
The method according to claim 10, wherein the communication strategy model comprises a mapping relationship table of location information and communication parameters.
The method according to claim 13, wherein updating the communication policy model according to the signal quality information and the location information, comprising:

determining a communication parameter corresponding to the location information according to the signal quality information;

The location information and the communication parameters corresponding to the location information are updated into the mapping relationship table.
The method according to any one of claims 3-14, wherein the target UAV is a UAV flying in the target space area.
An information processing method, wherein the method is applied to an unmanned aerial vehicle, and the method comprises:

Acquire signal quality information of the base station, where the signal quality information is measured based on the communication connection with the base station during the flight of the drone;

Obtain the position information of the UAV when measuring the signal quality information;

The signal quality information and the location information are sent to a server, where the signal quality information and the location information are used by the server to determine signal quality distribution information.
The method according to claim 16, wherein the signal quality distribution information includes location information and signal quality information of a plurality of location points.
The method according to claim 16, wherein the signal quality distribution information is used for the target drone to select a base station for establishing a communication connection.
The method according to claim 16, wherein the signal quality distribution information is used for the target drone to select the route with the best signal quality from multiple routes according to the signal quality information of each waypoint on the route.
The method according to claim 16, wherein the signal quality distribution information is used for the target UAV to avoid waypoints on a preset route where the signal quality is lower than the first threshold.
The method according to claim 16, wherein the signal quality distribution information is used to avoid areas where the signal quality is lower than the second threshold when the target UAV is planning a route.
The method according to claim 16, wherein the signal quality distribution information is used for the target UAV to send warning information to the control terminal when it is near an area where the signal quality is lower than the second threshold.
The method according to claim 16, wherein the signal quality distribution information is used to disconnect the communication connection with the base station when the target drone is located in an area where the signal quality is lower than the second threshold The communication connection between the control terminals of the target UAV.
The method according to claim 16, wherein the signal quality distribution information is used to stop sending the collected images through the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and when leaving the signal quality After the area is lower than the second threshold value, the image collected by sending the base station is resumed.
The method according to claim 16, wherein the signal quality information and the location information are further used for the server to update a communication strategy model, and the communication strategy model is used for the target drone to determine to communicate with the base station communication parameters.
The method according to claim 25, wherein the communication strategy model comprises a communication parameter prediction model based on deep learning.
The method according to claim 25, wherein the communication strategy model comprises a mapping relationship table of location information and communication parameters.
The method according to any one of claims 18-27, wherein the target UAV is a UAV flying in the target space area.
The method according to any one of claims 16-27, wherein sending the signal quality information and the location information to a server comprises:

The signal quality information and the location information are sent to the server through a base station that establishes a communication connection with the drone or a control terminal of the drone.
An information processing method, characterized in that the method is applied to a server, and the method comprises:

Receive the signal quality information and location information sent by the drone, wherein the signal quality information is obtained based on the communication connection with the base station during the flight of the drone, and the location information is the measurement of the signal The location information of the drone in the case of quality information;

Signal quality distribution information is determined according to the signal quality information and the location information.
The method according to claim 30, wherein the signal quality distribution information includes location information and signal quality information of a plurality of location points.
The method according to claim 30, wherein the signal quality distribution information is used for the target drone to select a base station for establishing a communication connection.
The method according to claim 30, wherein the signal quality distribution information is used for the target UAV to select the route with the best signal quality from multiple routes according to the signal quality information of each waypoint on the route.
The method according to claim 30, wherein the signal quality distribution information is used for the target UAV to avoid waypoints on a preset route where the signal quality is lower than the first threshold.
The method according to claim 30, wherein the signal quality distribution information is used to avoid areas where the signal quality is lower than the second threshold when the target UAV is planning a route.
The method according to claim 30, wherein the signal quality distribution information is used for the target drone to send warning information to the control terminal when the target drone is near an area where the signal quality is lower than the second threshold.
The method according to claim 30, wherein the signal quality distribution information is used to disconnect the communication connection with the base station when the target drone is located in an area where the signal quality is lower than the second threshold The communication connection between the control terminals of the target UAV.
The method according to claim 30, wherein the signal quality distribution information is used to stop sending the collected images through the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and when leaving the signal quality After the area is lower than the second threshold value, the image collected by sending the base station is resumed.
The method of claim 30, wherein the method further comprises:

According to the signal quality information and the location information, a communication strategy model is updated, and the communication strategy model is used for the target drone to determine communication parameters for communicating with the base station.
The method according to claim 39, wherein the communication strategy model comprises a communication parameter prediction model based on deep learning.
The method according to claim 40, wherein updating the communication policy model according to the signal quality information and the location information, comprising:

generating training samples according to the signal quality information and the location information;

adding the training samples to the training set;

The communication parameter prediction model is trained according to the training set to update the communication parameter prediction model.
The method according to claim 39, wherein the communication strategy model comprises a mapping relationship table of location information and communication parameters.
The method according to claim 42, wherein updating the communication policy model according to the signal quality information and the location information, comprising:

determining a communication parameter corresponding to the location information according to the signal quality information;

The location information and the communication parameters corresponding to the location information are updated into the mapping relationship table.
The method according to any one of claims 32-43, wherein the target UAV is a UAV flying in the target space area.
The method according to any one of claims 30-43, wherein receiving the signal quality information and location information sent by the unmanned aerial vehicle comprises:

The signal quality information and the location information sent by the base station that establishes a communication connection with the drone or the control terminal of the drone are received.
An information processing method, characterized in that, applied to an unmanned aerial vehicle, the method comprising:

Receive the signal quality distribution information sent by the server;

According to the signal quality distribution information, a base station for establishing a communication connection is selected.
The method according to claim 46, wherein the signal quality distribution information includes location information and signal quality information of a plurality of location points.
The method according to claim 46, wherein selecting a base station for establishing a communication connection according to the signal quality distribution information, comprising:

According to the signal quality distribution information, determine the signal quality of the base station corresponding to the specified location point;

When there is one base station corresponding to the designated location point, the UAV selects the base station corresponding to the designated location point on the designated location point to establish a communication connection;

When there are multiple base stations corresponding to the designated location point, the UAV selects the base station with the best signal quality among the multiple base stations corresponding to the designated location point on the designated location point to establish a communication connection.
The method according to claim 48, wherein the specified location point comprises at least one of the following:

The current position point of the UAV, the next position point of the UAV flying, and the waypoint on the preset route of the UAV.
The method of claim 46, wherein the method further comprises:

Determine multiple routes from the starting point to the target point;

According to the signal quality distribution information, determine the route with the best signal quality from the multiple routes;

The UAV is controlled to fly according to the route with the best signal quality.
The method according to claim 50, wherein, according to the signal quality distribution information, determining the route with the best signal quality from the multiple routes, comprising:

Determine the signal quality of each waypoint in each route according to the signal quality distribution information;

For each route, determine the signal quality of the route according to the signal quality of each waypoint on the route;

According to the signal quality of each route, determine the route with the best signal quality.
The method of claim 46, wherein the method further comprises:

According to the signal quality distribution information, determine the waypoints on the preset route where the signal quality is lower than the first threshold;

The preset route is adjusted so that the adjusted preset route avoids waypoints where the signal quality is lower than a first threshold.
The method of claim 46, wherein the method further comprises:

According to the signal quality distribution information, determine an area where the signal quality is lower than a second threshold;

In areas other than the area where the signal quality is lower than the second threshold, a route from the starting location point to the target location point is planned.
The method of claim 46, wherein the method further comprises:

According to the signal quality distribution information, determine an area where the signal quality is lower than a second threshold;

When approaching an area where the signal quality is lower than the second threshold, send warning information to the control terminal of the UAV.
The method of claim 46, wherein the method further comprises:

According to the signal quality distribution information, determine an area where the signal quality is lower than a second threshold;

When the drone is located in an area where the signal quality is lower than the second threshold, the communication connection with the base station is disconnected, and the communication connection with the control terminal of the drone is established.
The method of claim 46, wherein the method further comprises:

According to the signal quality distribution information, determine an area where the signal quality is lower than a second threshold;

When the drone is located in an area where the signal quality is lower than the second threshold, stop sending the collected images through the base station, and resume sending the collected images through the base station after leaving the area where the signal quality is lower than the second threshold.
The method according to any one of claims 46-56, wherein the method further comprises:

According to the communication strategy model, the communication parameters for the communication between the UAV and the base station are determined.
The method according to claim 57, wherein the communication policy model is preset or sent by the server.
The method of claim 57, wherein the communication strategy model comprises a deep learning-based communication parameter prediction model.
The method according to claim 57, wherein the communication strategy model comprises a mapping relationship table of location information and communication parameters.
The method according to claim 57, wherein determining the communication strategy of the UAV according to the communication strategy model, comprising:

determining the target location point for the drone to fly;

Determine the target communication parameters of the target location point according to the communication strategy model;

The UAV is controlled at the target position point, and the target communication parameter of the target position point is used to communicate with the base station.
The method of claim 57, wherein the method further comprises:

Obtain the current location information of the UAV;

The current location information is input into the communication strategy model, and the target communication parameter output by the communication strategy model is obtained;

The UAV is controlled to communicate with the base station using the target communication parameters.
An information processing method, characterized in that, applied to a server, the method comprising:

Send signal quality distribution information to UAV;

The signal quality distribution information is used for the drone to select a base station for establishing a communication connection.
The method of claim 63, wherein the method further comprises:

A communication strategy model is sent to the drone, where the communication strategy model is used by the drone to determine communication parameters for communicating with the base station.
The method according to claim 63 or 64, wherein the communication strategy model comprises a communication parameter prediction model based on deep learning.
The method according to claim 63 or 64, wherein the communication strategy model includes a mapping relationship table of location information and communication parameters.
An electronic device, comprising:

a communication module for acquiring signal quality information of the base station, the signal quality information is measured based on the communication connection with the base station during the flight of the drone;

The communication module is further configured to obtain the position information of the UAV when measuring the signal quality information;

a processor, configured to determine signal quality distribution information according to the signal quality information and the location information.
The electronic device according to claim 67, wherein the signal quality distribution information includes location information and signal quality information of a plurality of location points.
The electronic device according to claim 67, wherein the signal quality distribution information is used for the target drone to select a base station for establishing a communication connection.
The electronic device according to claim 67, wherein the signal quality distribution information is used for the target drone to select the route with the best signal quality from multiple routes according to the signal quality information of each waypoint on the route.
The electronic device according to claim 67, wherein the signal quality distribution information is used for the target UAV to avoid waypoints on a preset route where the signal quality is lower than the first threshold.
The electronic device according to claim 67, wherein the signal quality distribution information is used to avoid areas where the signal quality is lower than the second threshold when the target UAV is planning a route.
The electronic device according to claim 67, wherein the signal quality distribution information is used for the target drone to send warning information to the control terminal when it is near an area where the signal quality is lower than the second threshold.
The electronic device according to claim 67, wherein the signal quality distribution information is used to disconnect the communication connection with the base station and establish a communication connection with the base station when the target drone is located in an area where the signal quality is lower than the second threshold. A communication connection with the control terminal of the target UAV.
The electronic device according to claim 67, wherein the signal quality distribution information is used to stop sending the collected images through the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and when leaving the signal After the quality of the area is lower than the second threshold value, the image collected through the base station transmission is resumed.
The electronic device according to claim 67, wherein the processor is further configured to:

According to the signal quality information and the location information, a communication strategy model is updated, and the communication strategy model is used for the target drone to determine communication parameters for communicating with the base station.
The electronic device according to claim 76, wherein the communication strategy model comprises a communication parameter prediction model based on deep learning.
The electronic device of claim 77, wherein the processor is configured to:

generating training samples according to the signal quality information and the location information;

adding the training samples to the training set;

The communication parameter prediction model is trained according to the training set to update the communication parameter prediction model.
The electronic device according to claim 76, wherein the communication strategy model comprises a mapping relationship table of location information and communication parameters.
The electronic device of claim 79, wherein the processor is configured to:

determining a communication parameter corresponding to the location information according to the signal quality information;

The location information and the communication parameters corresponding to the location information are updated into the mapping relationship table.
The electronic device according to any one of claims 69-80, wherein the target drone is a drone that flies in the target space area.
An unmanned aerial vehicle, characterized in that it includes:

a processor, configured to acquire signal quality information of the base station, where the signal quality information is measured based on the communication connection with the base station during the flight of the drone;

The processor is further configured to obtain the position information of the UAV when measuring the signal quality information;

A communication module, configured to send the signal quality information and the location information to a server, where the signal quality information and the location information are used by the server to determine signal quality distribution information.
The unmanned aerial vehicle of claim 82, wherein the signal quality distribution information includes location information and signal quality information of a plurality of location points.
The drone according to claim 82, wherein the signal quality distribution information is used for the target drone to select a base station for establishing a communication connection.
The drone according to claim 82, wherein the signal quality distribution information is used for the target drone to select the route with the best signal quality from multiple routes according to the signal quality information of each waypoint on the route .
The UAV according to claim 82, wherein the signal quality distribution information is used for the target UAV to avoid waypoints on a preset route where the signal quality is lower than the first threshold.
The UAV according to claim 82, wherein the signal quality distribution information is used for the target UAV to avoid areas where the signal quality is lower than the second threshold when planning a route.
The drone according to claim 82, wherein the signal quality distribution information is used for the target drone to send warning information to the control terminal when it is near an area where the signal quality is lower than the second threshold.
The drone according to claim 82, wherein the signal quality distribution information is used to disconnect the communication connection with the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and Establish a communication connection with the control terminal of the target UAV.
The drone according to claim 82, wherein the signal quality distribution information is used to stop sending the collected images through the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and when leaving the drone After the signal quality is lower than the area of the second threshold, the image collected by sending the base station is restored.
The drone according to claim 82, wherein the signal quality information and the location information are further used for the server to update a communication strategy model, and the communication strategy model is used for the target drone to determine and communicate with the base station. Communication parameters for communication.
The drone according to claim 91, wherein the communication strategy model comprises a communication parameter prediction model based on deep learning.
The unmanned aerial vehicle of claim 91, wherein the communication strategy model comprises a mapping relationship table of location information and communication parameters.
The UAV according to any one of claims 84-93, wherein the target UAV is a UAV flying in the target space area.
The unmanned aerial vehicle according to any one of claims 82-93, wherein the communication module is used for:

The signal quality information and the location information are sent to the server through a base station that establishes a communication connection with the drone or a control terminal of the drone.
A server, characterized in that it includes:

A communication module, configured to receive signal quality information and location information sent by the drone, wherein the signal quality information is measured based on the communication connection with the base station during the flight of the drone, and the location information is the position information of the UAV when measuring the signal quality information;

a processor, configured to determine signal quality distribution information according to the signal quality information and the location information.
The server according to claim 96, wherein the signal quality distribution information includes location information and signal quality information of a plurality of location points.
The server according to claim 96, wherein the signal quality distribution information is used for the target drone to select a base station for establishing a communication connection.
The server according to claim 96, wherein the signal quality distribution information is used for the target drone to select the route with the best signal quality from multiple routes according to the signal quality information of each waypoint on the route.
The server according to claim 96, wherein the signal quality distribution information is used for the target UAV to avoid waypoints on a preset route where the signal quality is lower than the first threshold.
The server according to claim 96, wherein the signal quality distribution information is used to avoid areas where the signal quality is lower than the second threshold when the target drone is planning a route.
The server according to claim 96, wherein the signal quality distribution information is used for the target drone to send warning information to the control terminal when it is near an area where the signal quality is lower than the second threshold.
The server according to claim 96, wherein the signal quality distribution information is used to disconnect the communication connection with the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and establish a communication connection with the base station. The communication connection between the control terminals of the target UAV.
The server according to claim 96, wherein the signal quality distribution information is used to stop sending the collected images through the base station when the target drone is located in an area where the signal quality is lower than the second threshold, and when leaving the signal quality After the area is lower than the second threshold value, the image collected by sending the base station is resumed.
The server of claim 96, wherein the processor is configured to

According to the signal quality information and the location information, a communication strategy model is updated, and the communication strategy model is used for the target drone to determine communication parameters for communicating with the base station.
The server according to claim 105, wherein the communication strategy model comprises a communication parameter prediction model based on deep learning.
The server of claim 106, wherein the processor is configured to:

generating training samples according to the signal quality information and the location information;

adding the training samples to the training set;

The communication parameter prediction model is trained according to the training set to update the communication parameter prediction model.
The server according to claim 105, wherein the communication policy model comprises a mapping relationship table of location information and communication parameters.
The server of claim 108, wherein the processor is configured to:

determining a communication parameter corresponding to the location information according to the signal quality information;

The location information and the communication parameters corresponding to the location information are updated into the mapping relationship table.
The server according to any one of claims 98 to 109, wherein the target UAV is a UAV flying in the target space area.
The server according to any one of claims 96-109, wherein the communication module is used for:

The signal quality information and the location information sent by the base station that establishes a communication connection with the drone or the control terminal of the drone are received.
An unmanned aerial vehicle, characterized in that it includes:

The communication module is used for receiving the signal quality distribution information sent by the server;

The processor is configured to select a base station for establishing a communication connection according to the signal quality distribution information.
The drone according to claim 112, wherein the signal quality distribution information includes location information and signal quality information of a plurality of location points.
The drone of claim 112, wherein the processor is configured to:

According to the signal quality distribution information, determine the signal quality of the base station corresponding to the specified location point;

When there is one base station corresponding to the designated location point, the UAV selects the base station corresponding to the designated location point on the designated location point to establish a communication connection;

When there are multiple base stations corresponding to the designated location point, the UAV selects the base station with the best signal quality among the multiple base stations corresponding to the designated location point on the designated location point to establish a communication connection.
The drone of claim 114, wherein the designated location point includes at least one of the following:

The current position point of the UAV, the next position point of the UAV flying, and the waypoint on the preset route of the UAV.
The drone of claim 112, wherein the processor is further configured to:

Determine multiple routes from the starting position point to the target position point;

According to the signal quality distribution information, determine the route with the best signal quality from the multiple routes;

The UAV is controlled to fly according to the route with the best signal quality.
The drone of claim 116, wherein the processor is configured to:

Determine the signal quality of each waypoint in each route according to the signal quality distribution information;

For each route, determine the signal quality of the route according to the signal quality of each waypoint on the route;

According to the signal quality of each route, determine the route with the best signal quality.
The drone of claim 112, wherein the processor is further configured to:

According to the signal quality distribution information, determine the waypoints on the preset route where the signal quality is lower than the first threshold;

The preset route is adjusted so that the adjusted preset route avoids waypoints where the signal quality is lower than a first threshold.
The drone of claim 112, wherein the processor is further configured to:

According to the signal quality distribution information, determine an area where the signal quality is lower than a second threshold;

In areas other than the area where the signal quality is lower than the second threshold, a route from the starting location point to the target location point is planned.
The drone of claim 112, wherein the processor is further configured to:

According to the signal quality distribution information, determine an area where the signal quality is lower than a second threshold;

When approaching an area where the signal quality is lower than the second threshold, send warning information to the control terminal of the UAV.
The drone of claim 112, wherein the processor is further configured to:

According to the signal quality distribution information, determine an area where the signal quality is lower than a second threshold;

When the drone is located in an area where the signal quality is lower than the second threshold, the communication connection with the base station is disconnected, and the communication connection with the control terminal of the drone is established.
The drone of claim 112, wherein the processor is further configured to:

According to the signal quality distribution information, determine an area where the signal quality is lower than a second threshold;

When the drone is located in an area where the signal quality is lower than the second threshold, stop sending the collected images through the base station, and resume sending the collected images through the base station after leaving the area where the signal quality is lower than the second threshold.
The drone according to any one of claims 112-122, wherein the processor is further configured to:

According to the communication strategy model, the communication parameters for the communication between the UAV and the base station are determined.
The drone according to claim 123, wherein the communication strategy model is preset or sent by the server.
The drone of claim 123, wherein the communication strategy model comprises a deep learning-based communication parameter prediction model.
The drone according to claim 123, wherein the communication strategy model comprises a mapping relationship table of location information and communication parameters.
The drone of claim 123, wherein the processor is configured to:

determining the target location point for the drone to fly;

Determine the target communication parameters of the target location point according to the communication strategy model;

The UAV is controlled at the target position point, and the target communication parameter of the target position point is used to communicate with the base station.
The drone of claim 123, wherein the processor is configured to:

Obtain the current location information of the UAV;

Inputting the current location information into the communication strategy model to obtain target communication parameters output by the communication strategy model;

The UAV is controlled to communicate with the base station using the target communication parameters.
A server, characterized in that it includes:

The communication module is used to send the signal quality distribution information to the UAV;

The signal quality distribution information is used for the drone to select a base station for establishing a communication connection.
The server according to claim 129, wherein the communication module is further configured to:

A communication strategy model is sent to the drone, where the communication strategy model is used by the drone to determine communication parameters for communicating with the base station.
The server according to claim 129 or 130, wherein the communication strategy model comprises a communication parameter prediction model based on deep learning.
The server according to claim 129 or 130, wherein the communication policy model includes a mapping relationship table of location information and communication parameters.
A readable storage medium, characterized in that a computer program is stored on the readable storage medium; when the computer program is executed, the information processing method according to any one of claims 1-15 is implemented.
A readable storage medium, characterized in that a computer program is stored on the readable storage medium; when the computer program is executed, the information processing method according to any one of claims 16-29 is implemented.
A readable storage medium, characterized in that a computer program is stored on the readable storage medium; when the computer program is executed, the information processing method according to any one of claims 30-45 is implemented.
A readable storage medium, characterized in that a computer program is stored on the readable storage medium; when the computer program is executed, the information processing method according to any one of claims 46-62 is implemented.
A readable storage medium, characterized in that a computer program is stored on the readable storage medium; when the computer program is executed, the information processing method according to any one of claims 63-66 is implemented.