WO2020124356A1

WO2020124356A1 - Coverage information determining method, signal coverage information determining device and unmanned aerial vehicle

Info

Publication number: WO2020124356A1
Application number: PCT/CN2018/121727
Authority: WO
Inventors: 张志鹏; 王焱; 尹小俊; 王乃博
Original assignee: 深圳市大疆创新科技有限公司
Priority date: 2018-12-18
Filing date: 2018-12-18
Publication date: 2020-06-25
Also published as: CN111295904A

Abstract

A signal coverage information determining method, comprising: acquiring a coordinate set of scanning points in an area to be scanned; controlling an unmanned aerial vehicle to traverse each of the scanning points to determine signal coverage information of each scanning point; and according to the signal coverage information of each scanning point, building signal coverage information of the area to be scanned. Further disclosed are a signal coverage information determining device and an unmanned aerial vehicle comprising the device. The unmanned aerial vehicle is used to traverse the scanning points to determine signal coverage information of the scanning points. Because the unmanned aerial vehicle can travel without human participation, the unmanned aerial vehicle, on one hand, is less vulnerable to terrain and thus could traverse the scanning points conveniently, thereby much comprehensively determining signal coverage information of the area to be scanned, and on the other hand, can automatically complete traversing the scanning points without human participation and build the signal coverage information of the area to be scanned, thereby facilitate improving efficiency.

Description

Coverage information determination method, signal coverage information determination device and drone

Technical field

The present disclosure relates to the field of communication technology, and in particular, to a signal coverage information determination method, a signal coverage information determination device, and a drone.

Background technique

In order to ensure good communication quality, the mobile network needs to detect its signal coverage effect and determine the location where the signal coverage effect does not reach the standard, so as to adjust the network deployment.

At present, the detection method for the signal coverage effect is to conduct manual inspection on the ground, for example, the detection person drives the vehicle to move within the signal coverage of the mobile network, and performs detection and records the detection result during the movement.

This detection method requires manual participation, which is not only inefficient, but also severely restricted by factors such as terrain, which affects the measurement effect.

Summary of the invention

The present disclosure provides a signal coverage information determination method, a signal coverage information determination device, and an unmanned aerial vehicle to solve technical problems in related technologies.

According to a first aspect of an embodiment of the present disclosure, a signal coverage information determination method is proposed, which is applicable to a drone, and the method includes:

Get the coordinate set of scanning points in the area to be scanned;

Controlling the drone to traverse each of the scan points to determine the signal coverage information at the scan points;

Based on the signal coverage information of each scanning point, the signal coverage information of the area to be scanned is constructed.

According to a second aspect of the embodiments of the present disclosure, a signal coverage information determination device is proposed, which is applicable to an unmanned aerial vehicle. The device includes a processor, and the processor is used to:

Get the coordinate set of scanning points in the area to be scanned;

According to a third aspect of the embodiments of the present disclosure, a drone is proposed, the drone including the signal coverage information determination device according to any of the above embodiments.

Based on the embodiments of the present disclosure, the scan point is traversed by the drone to determine the signal coverage information of the scan point. Since the drone can fly without human participation, on the one hand, it is not easy to be limited by terrain, and it can easily traverse the scan point In order to determine the signal coverage information in the area to be scanned more comprehensively, on the other hand, it can automatically complete the traversal of the scanning point without human participation, and construct the signal coverage information in the area to be scanned, which is conducive to improving efficiency.

BRIEF DESCRIPTION

In order to more clearly explain the technical solutions in the embodiments of the present disclosure, the drawings required in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present disclosure. For those of ordinary skill in the art, without paying any creative labor, other drawings can also be obtained based on these drawings.

FIG. 1 is a schematic flowchart of a method for determining signal coverage information according to an embodiment of the present disclosure.

FIG. 2 is a schematic flowchart of acquiring a coordinate set of points to be scanned according to an embodiment of the present disclosure.

FIG. 3 is another schematic flowchart of acquiring a coordinate set of points to be scanned according to an embodiment of the present disclosure.

FIG. 4 is a schematic flowchart of traversing each of the scan points according to an embodiment of the present disclosure.

FIG. 5 is a schematic flowchart of automatically generating a traversal path according to the coordinates of the scanning point according to an embodiment of the present disclosure.

FIG. 6 is another schematic flowchart of traversing each of the scan points according to an embodiment of the present disclosure.

FIG. 7 is a schematic flow chart of constructing the signal coverage information of the area to be scanned based on the signal coverage information of each scanning point according to an embodiment of the present disclosure.

FIG. 8 is a schematic flowchart of another method for determining signal coverage information according to an embodiment of the present disclosure.

FIG. 9 shows a method for determining a weak signal coverage effect in at least one area to be scanned according to the signal coverage information of each area to be scanned in at least one area to be scanned according to an embodiment of the present disclosure Schematic flow chart of coverage area.

FIG. 10 shows another example of determining, according to the signal coverage information of each to-be-scanned area in the at least one to-be-scanned area, that the signal coverage effect in the at least one to-be-scanned area does not satisfy the first condition according to an embodiment of the present disclosure. Schematic flow chart of weak coverage area.

11 is a schematic flowchart of still another method for determining signal coverage information according to an embodiment of the present disclosure.

FIG. 12 shows a method for determining that the signal coverage effect in the at least one area to be scanned does not satisfy the second condition according to the signal coverage information of each area to be scanned in the at least one area to be scanned according to an embodiment of the present disclosure Schematic flowchart of the enhanced area.

FIG. 13 is a schematic flow chart showing a drone equipped with a compensation device entering the area to be enhanced according to an embodiment of the present disclosure.

FIG. 14 shows another example of determining, according to the signal coverage information of each to-be-scanned area in the at least one to-be-scanned area, that the signal coverage effect in the at least one to-be-scanned area does not satisfy the second condition according to an embodiment of the present disclosure. Schematic flow chart of the area to be enhanced.

FIG. 15 is another schematic flowchart of controlling a drone equipped with a compensation device to enter the area to be enhanced according to an embodiment of the present disclosure.

detailed description

The technical solutions in the embodiments of the present disclosure will be described clearly and completely in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, but not all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by a person of ordinary skill in the art without making creative efforts fall within the protection scope of the present disclosure. In addition, in the case of no conflict, the following embodiments and the features in the embodiments can be combined with each other.

FIG. 1 is a schematic flowchart of a method for determining signal coverage information according to an embodiment of the present disclosure. The signal coverage information determination method shown in this embodiment can be applied to a drone, and a detection device for determining signal coverage information is provided on the drone. In addition to the drone, the application scenarios of the embodiments of the present disclosure can also be set as needed For example, it can be applied to other unmanned aerial vehicles other than drones, and can also be applied to equipment such as unmanned vehicles and unmanned ships. The following mainly illustrates the case where the embodiments of the present disclosure are applied to drones.

In addition, the signal detected in the embodiment shown in the present disclosure may be a signal of a 4G base station, a signal of a 5G base station, or other network signals, such as a WiFi signal, which is not limited in the present disclosure.

As shown in FIG. 1, the method for determining signal coverage information may include the following steps:

Step S1: Obtain the coordinate set of the scanning points in the area to be scanned;

Step S2, controlling the drone to traverse each of the scan points to determine the signal coverage information at the scan points;

Step S3, based on the signal coverage information of each scanning point, constructing the signal coverage information of the area to be scanned.

In one embodiment, the coordinate set of the scanning points in the area to be scanned may be obtained from other devices, for example, input by the user to a terminal capable of interacting with the drone and transmitted from the terminal to the drone; The coordinate set of the scanning points in the scanning area can also be determined by the drone itself. For different areas to be scanned, based on the shape and scanning accuracy of the area to be scanned (the distance between two adjacent scanning points), no The human-machine can calculate and determine the coordinate set of the points to be scanned in the area to be scanned by itself.

After obtaining the coordinate set of the scan points in the area to be scanned, the drone can be controlled to traverse each scan point. Among them, the drone can move based on the control signals from other devices to complete the traversal of the scan points. It may be that the UAV itself determines the path of traversing the scan points according to the distribution of the scan points, and traverses the scan points according to the calculated path.

At each scan point, the UAV can detect the signal coverage information of the scan point, such as signal strength, packet loss rate, frequency band, beam, etc., through the signal detection device carried by itself, and then based on each scan point The signal coverage information of the area to be scanned can be constructed, for example, to generate an image of the signal coverage information of the area to be scanned, where the intensity of different signals can be represented by different colors, or a table can be generated to record each scan point and Corresponding signal coverage information.

According to an embodiment of the present disclosure, the scan point is traversed by the drone to determine the signal coverage information of the scan point. Since the drone can fly without human participation, on the one hand, it is not easily restricted by terrain, and the scan point can be conveniently traversed In order to determine the signal coverage information in the area to be scanned more comprehensively, on the other hand, it can automatically complete the traversal of the scanning point without human participation, and construct the signal coverage information in the area to be scanned, which is conducive to improving efficiency.

FIG. 2 is a schematic flowchart of acquiring a coordinate set of points to be scanned according to an embodiment of the present disclosure. As shown in FIG. 2, the coordinate set of acquiring the point to be scanned includes:

Step S11: Determine the coordinate set of the points to be scanned in the area to be scanned according to the scanning accuracy in the area to be scanned.

In one embodiment, the coordinate set of the scan points in the area to be scanned may be determined by the UAV itself, and for different areas to be scanned, based on the shape and scanning accuracy of the area to be scanned (of two adjacent scan points) Distance), the UAV can calculate the coordinate set of points to be scanned in the area to be scanned by its own calculation. For example, the area to be scanned is a cube with a side length of 500 meters, and the scanning accuracy is 50 meters. Then, a scan point is determined every 50 meters in the area to be scanned, and a total of 11×11×11 scan points can be determined.

FIG. 3 is another schematic flowchart of acquiring a coordinate set of points to be scanned according to an embodiment of the present disclosure. As shown in FIG. 3, the acquiring the coordinate set of the point to be scanned includes:

Step S12: Obtain the coordinate set of the point to be scanned from other devices.

In one embodiment, the coordinate set of the scanning points in the area to be scanned may be obtained from other devices, for example, input by the user to a terminal capable of interacting with the drone, and transmitted from the terminal to the drone, where The UAV can actively request other devices to send the coordinate set of the point to be scanned by sending a request, or passively receive the coordinate set of the point to be scanned sent by other devices.

FIG. 4 is a schematic flowchart of traversing each of the scan points according to an embodiment of the present disclosure. As shown in FIG. 4, the traversing each of the scan points includes:

Step S21, automatically generating a traversal path according to the coordinates of the scanning point;

Step S22, traverse each scan point according to the traversal path;

Step S23: Acquire the signal coverage information of the scanning point.

FIG. 5 is a schematic flowchart of automatically generating a traversal path according to the coordinates of the scanning point according to an embodiment of the present disclosure. As shown in FIG. 5, the automatically generating a traversal path according to the coordinates of the scan point includes:

Step S211: Determine the shortest path after the coordinates of each of the scan points are connected as the traversal path.

In one embodiment, the path of traversing the scan points can be calculated and determined by the UAV itself, wherein the path can be automatically generated based on the principle of the shortest path, that is, when the path after the coordinates of each scan point is the shortest In order to ensure that the power consumption of the UAV traversing the scan point is as small as possible, thereby improving the endurance of the UAV.

FIG. 6 is another schematic flowchart of traversing each of the scan points according to an embodiment of the present disclosure. As shown in FIG. 6, the traversing each of the scan points includes:

Step S24: Determine the traversal path according to the received command;

Step S25, traverse each scan point according to the traversal path;

Step S26: Acquire signal coverage information of the scanning point.

In one embodiment, the path traversing the scan points can be received from other devices, such as a device that can communicate with the drone, such as the remote control of the drone, and the user can manually connect each on the touch screen of the device Scan the points to generate the traversal path, or just select the start point and end point, and the device calculates the shortest path from the start point to the end point as the traversal path.

FIG. 7 is a schematic flow chart of constructing the signal coverage information of the area to be scanned based on the signal coverage information of each scanning point according to an embodiment of the present disclosure. As shown in FIG. 7, the constructing the signal coverage information of the area to be scanned based on the signal coverage information of each of the scan points includes:

Step S31: Determine the signal coverage information of all positions in the area to be scanned according to the signal coverage information of each of the scanning points and at least one distribution function.

In an embodiment, since the area to be scanned includes not only scanning points, but also points corresponding to positions other than the scanning points, the scanning points may be directly determined to be scanned during the process of controlling the UAV to traverse each scanning point. The signal coverage information of the point, and for the point corresponding to the position other than the scanning point, hereinafter referred to as the target point, the distribution function can be determined according to the propagation law model of the electromagnetic signal in space, and according to the signal coverage information and the distribution function of the scanning point Calculate the signal coverage information of the target point.

For example, the two adjacent scan points are M and N, the target point X is located on the line of M and N, the distance between M and N is D, and the distance between M and X is L, then the signal coverage information about the target point X The distribution function can be constructed as follows:

If the signal strength M (dBm) at point M is equal to the signal strength N (dBm) at point N, then the signal strength at point X (dBm) is equal to the signal strength at point M (dBm);

If the signal strength M (dBm) at point M is greater than the signal strength N (dBm) at point N, then it is assumed that there is a virtual signal source on the side of M away from N, which is on the extension line of the connection between N and M , And the distance to M is d, the signal strength at point X:

X(dBm)=M(dBm)-20lg(D+d)+20lg(L+d);

among them,

If the signal strength M (dBm) at point M is less than the signal strength N (dBm) at point N, then point M and point N are swapped in the above formula.

It should be noted that, for the case where the target point is not a scanning point, the distribution function may be as described above to sequentially determine the signal coverage information of all points in the area to be scanned. You can also choose other distribution functions according to your needs. For example, the target point X is not located on the line between M and N, but is located in the rectangle formed by the four scanning points A, B, C, and D. Then, regarding the target point X The distribution function of the signal coverage information of is based on the reciprocal of the distance from the target point X to the four scanning points A, B, C, and D, and the signal coverage information of the four scanning points, to perform weighted summation.

FIG. 8 is a schematic flowchart of another method for determining signal coverage information according to an embodiment of the present disclosure. As shown in FIG. 8, the method further includes:

Step S4, according to the signal coverage information of each to-be-scanned area in the at least one to-be-scanned area, determine a weak coverage area in the at least one to-be-scanned area whose signal coverage effect does not satisfy the first condition;

Step S5: Mark the weak coverage area in at least one area to be scanned.

In one embodiment, for each area to be scanned, after determining the signal coverage information, it may be further determined whether the signal coverage information satisfies the first condition, and if the area to be scanned does not satisfy the first condition, it is marked as a weak coverage area. Among them, the first condition may be set as needed, and the present disclosure will be exemplarily described in subsequent embodiments.

According to the first condition, a weak coverage area, that is, an area with poor signal coverage can be determined in a plurality of areas to be scanned. By marking the weak coverage area, it is convenient for a user to determine an area with poor signal coverage, so as to do in time Remedial measures are taken to ensure the communication effect of the equipment in the area.

FIG. 9 shows a method for determining a weak signal coverage effect in at least one area to be scanned according to the signal coverage information of each area to be scanned in at least one area to be scanned according to an embodiment of the present disclosure Schematic flow chart of coverage area. As shown in FIG. 9, the determining, according to the signal coverage information of each to-be-scanned area in the at least one to-be-scanned area, the weak coverage area in which the signal coverage effect in the at least one to-be-scanned area does not satisfy the first condition includes:

Step S41: Determine the first average value of the signal coverage information in the area to be scanned for each area to be scanned;

Step S42: Compare the first average value of the signal coverage information of each area to be scanned with the first threshold, and determine that the area to be scanned whose first average value is less than the first threshold is the weak coverage area. In one embodiment, the signal coverage information in the area to be scanned can be directly represented by all the scan points in the area to be scanned, or it can be fitted based on all the scan points in the area to be scanned to obtain the distribution function of the signal. Express signal coverage information.

Wherein, if the signal coverage information in the area to be scanned is directly represented by all the scanning points in the area to be scanned, the first mean value may be obtained by adding and averaging the signal coverage information of all the scanning points in the area to be scanned; if based on the signal To express the signal coverage information, then the distribution function can be integrated in the area to be scanned and then averaged to obtain the first mean value.

The first condition may be that the first mean value is greater than or equal to the first threshold. Based on the first mean value, the overall signal coverage in the area to be scanned can be more comprehensively reflected, and the weak coverage area determined based thereon appears as the overall signal in the area The coverage information is poor, for example, the signal strength is weak.

FIG. 10 shows another example of determining, according to the signal coverage information of each to-be-scanned area in the at least one to-be-scanned area, that the signal coverage effect in the at least one to-be-scanned area does not satisfy the first condition according to an embodiment of the present disclosure. Schematic flow chart of weak coverage area. As shown in FIG. 10, the determining, according to the signal coverage information of each area to be scanned in the at least one area to be scanned, the weak coverage area in which the signal coverage effect in the at least one area to be scanned does not satisfy the first condition includes:

Step S43: For each area to be scanned, determine that the area with the signal coverage information in the area to be scanned is less than the second threshold as the weak coverage area;

Wherein, the labeling the weak coverage area in at least one area to be scanned includes:

Step S51: Mark the weak coverage area in each of the at least one area to be scanned.

In one embodiment, if the signal coverage information in the area to be scanned is directly represented by all the scanning points in the area to be scanned, then it may be determined that the weak coverage of the signal coverage information is less than the second threshold value in all the scanning points in the area to be scanned Point, and then the area formed by the determined one or more weak coverage points is regarded as the weak coverage area. For example, for a weak coverage point, the area with the distance to the weak coverage point less than the first preset distance can be used as the weak coverage area; for example, for multiple weak coverage points, the periphery of the multiple weak coverage points can be The area covered by the weak coverage point line is regarded as the weak coverage area.

In one embodiment, if the signal coverage information is determined based on the distribution function of the signal, the coordinates where the signal coverage information is less than the second threshold can be determined, and then the area formed by these coordinates is determined as the weak coverage area.

The first condition may be that the signal coverage information is greater than or equal to the second threshold. Based on the first condition, the weak coverage area may be determined in the area to be scanned according to the relationship between the signal coverage information of a partial area in the area to be scanned and the second threshold.

Further, if there is a weak coverage area in each area to be scanned, the weak coverage area may be marked in each area to be scanned, so that the user can easily determine the weak coverage area.

11 is a schematic flowchart of still another method for determining signal coverage information according to an embodiment of the present disclosure. As shown in FIG. 11, the method further includes:

Step S6: According to the signal coverage information of each area to be scanned in the at least one area to be scanned, determine the area to be enhanced in which the signal coverage effect in the at least one area to be scanned does not satisfy the second condition;

In step S7, the drone equipped with compensation equipment is controlled to enter the area to be enhanced, and the compensation equipment radiates signals.

FIG. 12 shows a method for determining that the signal coverage effect in the at least one area to be scanned does not satisfy the second condition according to the signal coverage information of each area to be scanned in the at least one area to be scanned according to an embodiment of the present disclosure Schematic flowchart of the enhanced area. As shown in FIG. 12, the determining, according to the signal coverage information of each to-be-scanned area in the at least one to-be-scanned area, the area to be enhanced in which the signal coverage effect in the at least one to-be-scanned area does not satisfy the second condition includes:

Step S61: Determine the second average value of the signal coverage information in the area to be scanned for each area to be scanned;

Step S62: Compare the second average value of the signal coverage information of each area to be scanned with the third threshold, and determine that the area to be scanned whose second average value is less than the third threshold is the area to be enhanced.

In one embodiment, the second mean value may be obtained by adding and averaging the signal coverage information of all scanning points in the area to be scanned, or after integrating based on the distribution function of the signal coverage information of all positions in the area to be scanned It is obtained by averaging.

For each area to be scanned, after determining the signal coverage information, it may be further determined whether the signal coverage information satisfies the second condition, where the second condition may be set as needed, and the present disclosure will be exemplarily described in subsequent embodiments.

According to the second condition, an area to be enhanced can be determined among multiple areas to be scanned, that is, an area with poor signal coverage, where the second condition may be the same as or different from the first condition in the foregoing embodiment.

When the second condition is different from the first condition, for example, the second condition is that the second average value of the signal coverage information of the area to be scanned is greater than or equal to the third threshold, then the third threshold may be less than that corresponding to the first condition in the above embodiment The first threshold of, in this case, the area to be enhanced shows the overall signal coverage effect in the area, which is worse than the overall signal coverage effect in the weak coverage area, which may cause the signal coverage effect of the area to completely fail to meet the device For communication needs, then the signals in the area to be enhanced need to be compensated to improve the signal coverage effect.

By controlling the drone equipped with compensation equipment to enter the area to be enhanced, and radiating signals from the compensation equipment, the signal in the area to be enhanced can be compensated in time to ensure that the signal coverage effect in the area to be enhanced can maintain this Normal communication of devices in the area.

Among them, the signal radiated by the base station carried by the drone may be the same as the signal type radiated by the original base station in the area to be enhanced.

FIG. 13 is a schematic flow chart showing a drone equipped with a compensation device entering the area to be enhanced according to an embodiment of the present disclosure. As shown in FIG. 13, the control of the drone equipped with compensation equipment to enter the area to be enhanced includes:

Step S71: Control the drone equipped with compensation equipment to reach the preset position of the area to be enhanced.

In one embodiment, based on the embodiment shown in FIG. 12, the area to be enhanced appears to have a poor overall signal coverage effect. By controlling the drone to reach the preset position of the area to be enhanced, the area to be enhanced can be made The signal is enhanced. Specifically, the preset position may be the center position of the area to be enhanced, and accordingly, the signal radiated by the base station carried by the drone can better cover the entire area to be enhanced, so as to improve the overall signal in the area to be enhanced The coverage effect ensures that the signal coverage effect in the area meets the needs of the device for communication; or, the preset location may also be the location with the worst signal coverage in the area to be enhanced, for example, the location with the lowest signal strength.

It should be noted that, based on the difference in the second condition, the position where the drone enters the area to be enhanced for compensation is also different. For details, see the subsequent embodiments.

FIG. 14 shows another example of determining, according to the signal coverage information of each to-be-scanned area in the at least one to-be-scanned area, that the signal coverage effect in the at least one to-be-scanned area does not satisfy the second condition according to an embodiment of the present disclosure. Schematic flow chart of the area to be enhanced. As shown in FIG. 14, the determining, according to the signal coverage information of each to-be-scanned area in the at least one to-be-scanned area, the area to be enhanced in which the signal coverage effect in the at least one to-be-scanned area does not satisfy the second condition includes:

In step S63, for each area to be scanned, it is determined that the area in the area to be scanned whose signal coverage information is less than the fourth threshold is the area to be enhanced.

In one embodiment, if the signal coverage information in the area to be scanned is directly represented by all the scan points in the area to be scanned, then it can be determined that the signal coverage information is less than the fourth threshold to be enhanced in all the scan points in the area to be scanned Point, and then the area composed of the determined one or more points to be enhanced is taken as the area to be enhanced. For example, for a point to be enhanced, an area whose distance to the point to be enhanced is less than the second preset distance may be used as the area to be enhanced; for example, for multiple points to be enhanced, the periphery of the multiple points to be enhanced may be The area formed by connecting the points to be enhanced is regarded as the area to be enhanced.

In one embodiment, if the signal coverage information is determined based on the distribution function of the signal, the coordinates where the signal coverage information is less than the fourth threshold can be determined, and then the area formed by these coordinates is determined as the area to be enhanced.

The second condition may be that the second signal coverage information is greater than or equal to the fourth threshold, and the area to be enhanced appears as a signal coverage effect in the area, which is worse than the signal coverage effect in the weak coverage area, which may result in signals in the area to be enhanced The coverage effect cannot meet the communication requirements of the device at all, so the signal in the area to be enhanced needs to be compensated to improve the signal coverage effect, and the corresponding compensation method will be exemplarily described in subsequent embodiments.

FIG. 15 is another schematic flowchart of controlling a drone equipped with a compensation device to enter the area to be enhanced according to an embodiment of the present disclosure. As shown in FIG. 15, the control of the unmanned aerial vehicle equipped with a compensation device to enter the area to be enhanced includes:

Step S72: Control the drone equipped with compensation equipment to reach the preset position of the area to be enhanced.

In one embodiment, based on the embodiment shown in FIG. 14, the area to be enhanced shows that the overall signal coverage effect in the area is very poor. By controlling the drone to reach the preset position of the area to be enhanced, the area to be enhanced can be made The signal is enhanced. Specifically, the preset position may be the center position of the area to be enhanced, and accordingly, the signal radiated by the base station carried by the drone can better cover the entire area to be enhanced, so as to improve the overall signal in the area to be enhanced The coverage effect ensures that the signal coverage effect in the area meets the needs of the device for communication; or, the preset location may also be the location with the worst signal coverage in the area to be enhanced, for example, the location with the lowest signal strength.

The compensation device in the above embodiment may be different based on the detected signal type. For example, the detected signal is a 4G signal, then the compensation device is a 4G base station device, for example, the detected signal is a 5G signal, then the compensation device is For a 5G base station device, for example, the detected signal is a WiFi signal, then the compensation device is a routing device.

Optionally, the area to be scanned includes a two-dimensional space and/or a three-dimensional space.

Optionally, the signal coverage information includes at least one of the following manifestations:

Images, tables.

In one embodiment, if the signal coverage information is represented by an image, then in the case where the area to be scanned is a two-dimensional space, the constructed signal coverage information of the area to be scanned may be a two-dimensional image, and the area to be scanned is a three-dimensional space In this case, the constructed signal coverage information of the area to be scanned may be a three-dimensional image.

It should be noted that, when the embodiments of the present disclosure are applied to unmanned vehicles, unmanned ships and other non-flying equipment, if the area to be scanned is a three-dimensional space, then the equipment may be provided with a telescopic device perpendicular to the plane of motion, A detection device for determining signal coverage information may be provided on the telescopic device, and through the telescopic device, the detection device can detect the signal coverage information in a space perpendicular to the motion plane of the device.

Corresponding to the above embodiments of the signal coverage information determination method, the present disclosure also proposes embodiments of the signal coverage information determination device.

An embodiment of the present disclosure proposes a device for determining signal coverage information, which is applicable to an unmanned aerial vehicle. The device includes a processor, and the processor is used to:

Get the coordinate set of scanning points in the area to be scanned;

In one embodiment, the processor is used to,

According to the scanning accuracy in the area to be scanned, the coordinate set of the points to be scanned in the area to be scanned is determined.

In one embodiment, the processor is used to,

Obtain the coordinate set of the point to be scanned from other devices.

In one embodiment, the processor is used to,

Automatically generate a traversal path according to the coordinates of the scanning point;

Traverse each scan point according to the traversal path;

Acquire the signal coverage information of the scanning point.

In one embodiment, the processor is used to,

According to the signal coverage information of each scanning point and at least one distribution function, the signal coverage information of all positions in the area to be scanned is determined.

In one embodiment, the processor is used to,

The shortest path after the coordinates of each of the scan points are connected is determined as the traversal path.

In one embodiment, the processor is used to,

Determine the traversal path according to the received command;

Traverse each scan point according to the traversal path;

Acquire the signal coverage information of the scanning point.

In one embodiment, the processor is also used for,

Determine, according to the signal coverage information of each area to be scanned in the at least one area to be scanned, a weak coverage area in which the signal coverage effect in the at least one area to be scanned does not satisfy the first condition;

Mark the weak coverage area in at least one area to be scanned.

In one embodiment, the processor is used to,

Determine the first average value of the signal coverage information in the area to be scanned for each area to be scanned;

Comparing the first average value of the signal coverage information of each area to be scanned with the first threshold, and determining that the area to be scanned whose first average value is less than the first threshold is the weak coverage area.

In one embodiment, the processor is used to,

Determining, for each area to be scanned, an area in the area to be scanned whose signal coverage information is less than the second threshold as the weak coverage area;

Mark the weak coverage area in each of the at least one area to be scanned.

In one embodiment, the processor is also used for,

Determine, according to the signal coverage information of each area to be scanned in the at least one area to be scanned, the area to be enhanced in which the signal coverage effect in the at least one area to be scanned does not satisfy the second condition;

The drone equipped with the compensation equipment is controlled to enter the area to be enhanced, and the compensation equipment radiates signals.

In one embodiment, the processor is used to,

Separately determine the second average value of the signal coverage information in the area to be scanned for each area to be scanned;

Comparing the second average value of the signal coverage information of each area to be scanned with a third threshold, and determining that the area to be scanned whose second average value is less than the third threshold is the area to be enhanced.

In one embodiment, the processor is used to,

Control the drone equipped with the compensation equipment to reach the preset position of the area to be enhanced.

In one embodiment, the processor is used to,

For each region to be scanned, it is determined that the region of the region to be scanned whose signal coverage information is less than the fourth threshold is the region to be enhanced.

In one embodiment, the processor is used to,

In one embodiment, the area to be scanned includes a two-dimensional space and/or a three-dimensional space.

In one embodiment, the signal coverage information includes at least one of the following manifestations:

Images, tables.

An embodiment of the present disclosure also proposes a drone including the signal coverage information determination device described in any one of the above embodiments.

In one embodiment, the operation of controlling the UAV to traverse each of the scan points can be implemented by a flight control system (referred to as a flight control system) in the UAV, where the function of the flight control system can be determined by the above signals The processor in the coverage information determination device may also be implemented by another processor in the drone that is different from the processor in the signal coverage information determination device.

The system, device, module or unit explained in the above embodiments may be specifically implemented by a computer chip or entity, or implemented by a product having a certain function. For the convenience of description, when describing the above device, the functions are divided into various units and described separately. Of course, when implementing this application, the functions of each unit may be implemented in one or more software and/or hardware. Those skilled in the art should understand that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.

The embodiments in this specification are described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant part can be referred to the description of the method embodiment.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations There is any such actual relationship or order. The terms "include", "include", or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device that includes a series of elements includes not only those elements, but also others that are not explicitly listed Elements, or also include elements inherent to such processes, methods, objects, or equipment. Without more restrictions, the element defined by the sentence "include one..." does not exclude that there are other identical elements in the process, method, article or equipment that includes the element.

The above is only an embodiment of the present application, and is not intended to limit the present application. For those skilled in the art, this application may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the scope of the claims of this application.

Claims

A method for determining signal coverage information is characterized by being applicable to drones. The method includes:

Get the coordinate set of scanning points in the area to be scanned;

Controlling the drone to traverse each of the scan points to determine the signal coverage information at the scan points;

Based on the signal coverage information of each scanning point, the signal coverage information of the area to be scanned is constructed.
The method according to claim 1, wherein the acquiring the coordinate set of the point to be scanned comprises:

According to the scanning accuracy in the area to be scanned, the coordinate set of the points to be scanned in the area to be scanned is determined.
The method according to claim 1, wherein the acquiring the coordinate set of the point to be scanned comprises:

Obtain the coordinate set of the point to be scanned from other devices.
The method of claim 1, wherein the traversing each of the scan points comprises:

Automatically generate a traversal path according to the coordinates of the scanning point;

Traverse each scan point according to the traversal path;

Acquire the signal coverage information of the scanning point.
The method according to claim 4, wherein the automatically generating a traversal path according to the coordinates of the scanning point comprises:

The shortest path after the coordinates of each of the scan points are connected is determined as the traversal path.
The method of claim 1, wherein the traversing each of the scan points comprises:

Determine the traversal path according to the received command;

Traverse each scan point according to the traversal path;

Acquire the signal coverage information of the scanning point.
The method according to claim 1, wherein the constructing the signal coverage information of the area to be scanned based on the signal coverage information of each of the scanning points includes:

According to the signal coverage information of each scanning point and at least one distribution function, the signal coverage information of all positions in the area to be scanned is determined.
The method according to any one of claims 1 to 7, wherein the method further comprises:

Determine, according to the signal coverage information of each area to be scanned in the at least one area to be scanned, a weak coverage area in which the signal coverage effect in the at least one area to be scanned does not satisfy the first condition;

Mark the weak coverage area in at least one area to be scanned.
The method according to claim 8, wherein, according to the signal coverage information of each area to be scanned in the at least one area to be scanned, it is determined that the signal coverage effect in the at least one area to be scanned does not satisfy the first condition The weak coverage areas include:

Determine the first average value of the signal coverage information in the area to be scanned for each area to be scanned;

Comparing the first average value of the signal coverage information of each area to be scanned with the first threshold, and determining that the area to be scanned whose first average value is less than the first threshold is the weak coverage area.
The method according to claim 8, wherein, according to the signal coverage information of each area to be scanned in the at least one area to be scanned, it is determined that the signal coverage effect in the at least one area to be scanned does not satisfy the first condition The weak coverage areas include:

Determining, for each area to be scanned, an area in the area to be scanned whose signal coverage information is less than the second threshold as the weak coverage area;

The marking the weak coverage area in at least one area to be scanned includes:

Mark the weak coverage area in each of the at least one area to be scanned.
The method according to any one of claims 1 to 7, wherein the method further comprises:

Determine, according to the signal coverage information of each area to be scanned in the at least one area to be scanned, the area to be enhanced in which the signal coverage effect in the at least one area to be scanned does not satisfy the second condition;

The drone equipped with the compensation equipment is controlled to enter the area to be enhanced, and the compensation equipment radiates signals.
The method according to any one of claims 1 to 7, wherein the signal coverage in the at least one area to be scanned is determined according to the signal coverage information of each area to be scanned in the at least one area to be scanned The area to be enhanced whose effect does not satisfy the second condition includes:

Separately determine the second average value of the signal coverage information in the area to be scanned for each area to be scanned;

Comparing the second average value of the signal coverage information of each area to be scanned with a third threshold, and determining that the area to be scanned whose second average value is less than the third threshold is the area to be enhanced.
The method according to claim 12, wherein the controlling the entry of the drone equipped with compensation equipment into the area to be enhanced includes:

Control the drone equipped with the compensation equipment to reach the preset position of the area to be enhanced.
The method according to any one of claims 1 to 7, wherein the signal coverage in the at least one area to be scanned is determined according to the signal coverage information of each area to be scanned in the at least one area to be scanned The area to be enhanced whose effect does not satisfy the second condition includes:

For each region to be scanned, it is determined that the region of the region to be scanned whose signal coverage information is less than the fourth threshold is the region to be enhanced.
The method according to claim 14, wherein the controlling the entry of the drone equipped with compensation equipment into the area to be enhanced includes:

Control the drone equipped with the compensation equipment to reach the preset position of the area to be enhanced.
The method according to any one of claims 1 to 7, wherein the area to be scanned includes a two-dimensional space and/or a three-dimensional space.
The method according to any one of claims 1 to 7, wherein the signal coverage information includes at least one of the following manifestations:

Images, tables.
An apparatus for determining signal coverage information is characterized by being applicable to a drone, and the apparatus includes a processor, and the processor is used to:

Get the coordinate set of scanning points in the area to be scanned;

Controlling the drone to traverse each of the scan points to determine the signal coverage information at the scan points;

Based on the signal coverage information of each scanning point, the signal coverage information of the area to be scanned is constructed.
The apparatus according to claim 18, wherein the processor is used to:

According to the scanning accuracy in the area to be scanned, the coordinate set of the points to be scanned in the area to be scanned is determined.
The apparatus according to claim 18, wherein the processor is used to:

Obtain the coordinate set of the point to be scanned from other devices.
The apparatus according to claim 18, wherein the processor is used to:

Automatically generate a traversal path according to the coordinates of the scanning point;

Traverse each scan point according to the traversal path;

Acquire the signal coverage information of the scanning point.
The apparatus according to claim 21, wherein the processor is used to:

The shortest path after the coordinates of each of the scan points are connected is determined as the traversal path.
The apparatus according to claim 18, wherein the processor is used to:

Determine the traversal path according to the received command;

Traverse each scan point according to the traversal path;

Acquire the signal coverage information of the scanning point.
The apparatus according to claim 18, wherein the processor is used to:

According to the signal coverage information of each scanning point and at least one distribution function, the signal coverage information of all positions in the area to be scanned is determined.
The device according to any one of claims 18 to 24, wherein the processor is further used for,

Determine, according to the signal coverage information of each area to be scanned in the at least one area to be scanned, a weak coverage area in which the signal coverage effect in the at least one area to be scanned does not satisfy the first condition;

Mark the weak coverage area in at least one area to be scanned.
The apparatus according to claim 25, wherein the processor is used to:

Determine the first average value of the signal coverage information in the area to be scanned for each area to be scanned;

Comparing the first mean value of the signal coverage information of each area to be scanned with the first threshold, and determining that the area to be scanned whose first mean value is less than the first threshold is the weak coverage area.
The apparatus according to claim 25, wherein the processor is used to:

Determining, for each area to be scanned, an area in the area to be scanned whose signal coverage information is less than the second threshold as the weak coverage area;

Mark the weak coverage area in each of the at least one area to be scanned.
The device according to any one of claims 19 to 24, wherein the processor is further used for,

Determine, according to the signal coverage information of each area to be scanned in the at least one area to be scanned, the area to be enhanced in which the signal coverage effect in the at least one area to be scanned does not satisfy the second condition;

The drone equipped with the compensation equipment is controlled to enter the area to be enhanced, and the compensation equipment radiates signals.
The device according to any one of claims 19 to 24, wherein the processor is used to:

Separately determine the second average value of the signal coverage information in the area to be scanned for each area to be scanned;

Comparing the second average value of the signal coverage information of each region to be scanned with the third threshold, and determining that the region to be scanned whose second average value is less than the third threshold is the region to be enhanced.
The apparatus according to claim 29, wherein the processor is used to:

Control the drone equipped with the compensation equipment to reach the preset position of the area to be enhanced.
The device according to any one of claims 19 to 24, wherein the processor is used to:

For each region to be scanned, it is determined that the region of the region to be scanned whose signal coverage information is less than the fourth threshold is the region to be enhanced.
The apparatus according to claim 31, wherein the processor is used to:

Control the drone equipped with the compensation equipment to reach the preset position of the area to be enhanced.
The device according to any one of claims 19 to 24, wherein the area to be scanned includes a two-dimensional space and/or a three-dimensional space.
The apparatus according to any one of claims 19 to 24, wherein the signal coverage information includes at least one of the following forms:

Images, tables.
A drone, characterized in that the drone includes the signal coverage information determination device according to any one of claims 18 to 34.