CN111698639B - Control method, system, equipment and storage medium for signal coverage of air route - Google Patents

Control method, system, equipment and storage medium for signal coverage of air route Download PDF

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Publication number
CN111698639B
CN111698639B CN201910198752.6A CN201910198752A CN111698639B CN 111698639 B CN111698639 B CN 111698639B CN 201910198752 A CN201910198752 A CN 201910198752A CN 111698639 B CN111698639 B CN 111698639B
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unmanned aerial
aerial vehicle
target signal
route
base station
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CN111698639A (en
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张文凯
刘艳光
巴航
郑行
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention discloses a control method, a system, equipment and a storage medium for signal coverage of a route, wherein the control method comprises the following steps: selecting a plurality of target signal base stations distributed along the unmanned aerial vehicle route; presetting a target signal coverage area corresponding to each target signal base station; and adjusting the angle of an antenna on the target signal base station according to the actual signal coverage area of the target signal base station covering the unmanned aerial vehicle route until the actual signal coverage area corresponding to the target signal base station contains the target signal coverage area. According to the invention, the operation mode of the novel pipeline type signal covered unmanned aerial vehicle route is established, large-area signal coverage is not needed, and only the pipeline type area formed along the unmanned aerial vehicle route is needed to be subjected to signal coverage, so that the signal full coverage among one station, multiple machines and multiple stations is finally realized, and the operation cost of the conventional logistics unmanned aerial vehicle is greatly reduced while stable data communication transmission is ensured.

Description

Control method, system, equipment and storage medium for signal coverage of air route
Technical Field
The invention relates to the technical field of logistics management, in particular to a control method, a system, equipment and a storage medium for signal coverage of a route.
Background
At present, for a communication data link of a logistics unmanned plane, the flying height of a trunk line large plane is more than 3000 meters, and data communication is generally realized by adopting a satellite relay mode; the flying height of the small end aircraft is in the range of 100-1000 meters, and data communication is realized by adopting a civil radio station or a military data link mode. Specifically, for the terminal logistics unmanned aerial vehicle with the cruising flight height of 300-500 meters, a 4G (fourth generation mobile communication technology) network cannot fully cover the whole cruising route, and generally, a radio station, a networking or a data link mode is adopted for transmission, flight data are firstly sent to a signal base station on the ground, and then the signal base station is transferred to a public network and connected to a logistics distribution scheduling center; for the terminal logistics unmanned aerial vehicle with the cruising flight height below 150 meters, the data communication in the cruising process is realized by adopting a 4G network mode, and the flight data is sent to a logistics distribution scheduling center in real time.
In summary, the existing distribution mode based on the logistics unmanned aerial vehicle has the following defects in the logistics distribution process:
1) The data transmission mode of the 4G network with low cost is limited by the height, and the signal can not be received when the cruising height of an aircraft exceeds 150 meters, so that the distribution communication requirement of the higher cruising height can not be met;
2) For the networking mode of the traditional radio station, networking is performed aiming at a specific route, and strict adaptation is performed on the route of the logistics unmanned aerial vehicle, so that the method has no universality and has the problem of high cost; the system can not cover a plurality of airlines at a time, and the cost of a radio station hardware module is about tens of times of that of a 4G communication module, so that the system is not beneficial to the construction of a large-scale logistics network; the distribution mode of the logistics unmanned aerial vehicle A-B-A (round trip distribution) cannot be met, and if the landing points are covered completely, the cost is doubled;
3) A complete logistics network based on the logistics unmanned aerial vehicle is not established.
Disclosure of Invention
The invention aims to solve the technical problems that in the prior art, the control mode of signal coverage of an unmanned aerial vehicle has the defects of incapability of completely covering, high cost, no universality, no establishment of a complete logistics network based on a logistics unmanned aerial vehicle and the like, and provides a control method, a system, equipment and a storage medium of signal coverage of the unmanned aerial vehicle.
The invention solves the technical problems by the following technical scheme:
the invention provides a control method for signal coverage of an unmanned aerial vehicle route, which comprises the following steps:
Selecting a set number of target signal base stations distributed along the unmanned aerial vehicle route from a plurality of reference signal base stations within a set range from the unmanned aerial vehicle route;
the whole signal coverage area formed by the target signal coverage area of each target signal base station distributed along each unmanned aerial vehicle route covers the whole unmanned aerial vehicle route;
presetting a target signal coverage range corresponding to each target signal base station and covering the unmanned aerial vehicle route;
acquiring an actual signal coverage area of a signal transmitted by an antenna on the target signal base station for covering the unmanned aerial vehicle route;
and adjusting the angle of the antenna on the target signal base station until the actual signal coverage area corresponding to the target signal base station contains the target signal coverage area.
Preferably, the step of adjusting the angle of the antenna on the target signal base station until the actual signal coverage area corresponding to the target signal base station includes the target signal coverage area further includes:
when an unmanned aerial vehicle performs flight test on the unmanned aerial vehicle route, acquiring route signal intensity data corresponding to the unmanned aerial vehicle route acquired by the unmanned aerial vehicle;
And judging whether the route signal intensity data is smaller than a set threshold value, if so, determining the route position corresponding to the route signal intensity data, and adjusting the angle of the antenna on the target signal base station which can cover the route position.
Preferably, the step of adjusting the angle of the antenna on the target signal base station until the actual signal coverage area corresponding to the target signal base station includes the target signal coverage area includes:
and adjusting the angle of the antenna erected on the target signal base station, or adding the antenna on the target signal base station, and adjusting the angle of the added antenna until the actual signal coverage corresponding to the target signal base station comprises the target signal coverage.
Preferably, when a plurality of antennas are erected on the target signal base station, the step of acquiring the actual signal coverage of the unmanned aerial vehicle route covered by the signal transmitted by the antennas on the target signal base station includes:
acquiring a first signal coverage range of signals transmitted by each antenna on the target signal base station to cover the unmanned aerial vehicle route;
And carrying out superposition processing on each first signal coverage area to obtain the actual signal coverage area.
Preferably, the unmanned aerial vehicle comprises a logistics unmanned aerial vehicle;
the step of selecting a set number of target signal base stations distributed along the unmanned aerial vehicle route from a plurality of reference signal base stations within a set range from the unmanned aerial vehicle route further comprises the following steps:
acquiring a pre-planned unmanned aerial vehicle route;
the unmanned aerial vehicle route comprises a route taking a logistics site as a delivery starting point and taking a receiving place as an end point;
the receiving location includes another logistics site and/or other types of receiving locations outside the logistics site.
Preferably, each of said logistics sites comprises a plurality of said unmanned aerial vehicle airlines.
Preferably, after the step of selecting a set number of target signal base stations distributed along the unmanned aerial vehicle route from the plurality of reference signal base stations within a set range from the unmanned aerial vehicle route, the step of presetting a target signal coverage area corresponding to each target signal base station and covering the unmanned aerial vehicle route further includes:
acquiring the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, and the position data and the height data of the unmanned aerial vehicle route;
The step of presetting the target signal coverage range corresponding to each target signal base station and covering the unmanned aerial vehicle route comprises the following steps:
and calculating to obtain a target signal coverage area corresponding to each target signal base station and covering the unmanned aerial vehicle route according to the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, and the position data and the height data of the unmanned aerial vehicle route.
Preferably, two antennas with opposite directions are installed on each target signal base station.
The invention also provides a control system for signal coverage of the unmanned aerial vehicle route, which comprises a target signal base station selection module, a preset module, a coverage area acquisition module, a calculation module and an adjustment module;
the target signal base station selection module is used for selecting a set number of target signal base stations distributed along the unmanned aerial vehicle route from a plurality of reference signal base stations within a set range from the unmanned aerial vehicle route;
the whole signal coverage area formed by the target signal coverage area of each target signal base station distributed along each unmanned aerial vehicle route covers the whole unmanned aerial vehicle route;
The presetting module is used for presetting a target signal coverage range corresponding to each target signal base station and covering the unmanned aerial vehicle route;
the coverage area acquisition module is used for acquiring the actual signal coverage area of the unmanned aerial vehicle route covered by the signal emitted by the antenna on the target signal base station;
the adjustment module is used for adjusting the angle of the antenna on the target signal base station until the actual signal coverage corresponding to the target signal base station contains the target signal coverage.
Preferably, the control system further comprises a signal intensity data acquisition module and a judgment module;
the signal intensity data acquisition module is used for acquiring route signal intensity data corresponding to the unmanned aerial vehicle route acquired by the unmanned aerial vehicle when the unmanned aerial vehicle performs flight test on the unmanned aerial vehicle route;
the judging module is used for judging whether the route signal intensity data is smaller than a set threshold value, if yes, determining the route position corresponding to the route signal intensity data, and adjusting the angle of the antenna on the target signal base station which can cover the route position.
Preferably, the adjusting module is configured to adjust an angle of the antenna that is already installed on the target signal base station, or add an antenna to the target signal base station, and adjust an angle of the added antenna until the actual signal coverage area corresponding to the target signal base station includes the target signal coverage area.
Preferably, when a plurality of antennas are erected on the target signal base station, the coverage area acquisition module comprises a signal first coverage area acquisition unit and an actual coverage area acquisition unit;
the first coverage area acquisition unit is used for acquiring a first signal coverage area of the unmanned aerial vehicle route covered by signals transmitted by each antenna on the target signal base station;
the actual coverage area obtaining unit is configured to perform superposition processing on each of the first signal coverage areas, and obtain the actual signal coverage area.
Preferably, the unmanned aerial vehicle comprises a logistics unmanned aerial vehicle;
the control system also comprises an air route acquisition module;
the route acquisition module is used for acquiring a pre-planned route of the unmanned aerial vehicle;
the unmanned aerial vehicle route comprises a route taking a logistics site as a delivery starting point and taking a receiving place as an end point;
the receiving location includes another logistics site and/or other types of receiving locations outside the logistics site.
Preferably, each of said logistics sites comprises a plurality of said unmanned aerial vehicle airlines.
Preferably, the control system further comprises a first data acquisition module;
the first data acquisition module is used for acquiring the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, the position data and the height data of the unmanned aerial vehicle route;
The preset module is further used for determining a target signal coverage range corresponding to the target signal base station according to the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, the position data of the unmanned aerial vehicle route and the height data.
Preferably, two antennas with opposite directions are installed on each target signal base station.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the control method of the signal coverage of the unmanned aerial vehicle route when executing the computer program.
The present invention also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above-described control method of signal coverage of a unmanned aerial vehicle route.
The invention has the positive progress effects that:
according to the invention, a plurality of unmanned aerial vehicle routes are established at each station, the target signal base station is selected, the cruising high altitude corresponding to the unmanned aerial vehicle route can be fully covered by signals by adjusting the antenna angle on the target signal base station of an operator, meanwhile, the unmanned aerial vehicle routes among different stations also realize the full signal coverage, namely, the unmanned aerial vehicle routes do not need to be covered by large-area signals, and only the pipeline area formed along the unmanned aerial vehicle routes is required to be covered by signals, so that the running cost of the existing logistics unmanned aerial vehicle is greatly reduced while stable data communication transmission is ensured, a brand-new running mode of the logistics unmanned aerial vehicle is constructed, and the development of logistics business based on the logistics unmanned aerial vehicle is effectively promoted.
Drawings
Fig. 1 is a flowchart of a control method of signal coverage of an unmanned aerial vehicle route according to embodiment 1 of the present invention.
Fig. 2 is a schematic diagram of unmanned aerial vehicle route signal coverage according to a control method of unmanned aerial vehicle route signal coverage according to embodiment 1 of the present invention.
Fig. 3 is a flowchart of a control method of signal coverage of an unmanned aerial vehicle route according to embodiment 2 of the present invention.
Fig. 4 is a first schematic diagram of a control method for signal coverage of a unmanned aerial vehicle route according to embodiment 2 of the present invention.
Fig. 5 is a second schematic diagram of a control method for signal coverage of a unmanned aerial vehicle route according to embodiment 2 of the present invention.
Fig. 6 is a flowchart of a control method of signal coverage of an unmanned aerial vehicle route according to embodiment 3 of the present invention.
Fig. 7 is a first schematic diagram of unmanned aerial vehicle route signal coverage of a control method of unmanned aerial vehicle route signal coverage of embodiment 3 of the present invention.
Fig. 8 is a schematic distribution diagram of a target signal base station of a control method for signal coverage of an unmanned aerial vehicle route in embodiment 3 of the present invention.
Fig. 9 is a second schematic diagram of unmanned aerial vehicle route signal coverage of the control method of unmanned aerial vehicle route signal coverage of embodiment 3 of the present invention.
Fig. 10 is a first schematic diagram of a signal intensity distribution of a drone route of a control method of signal coverage of the drone route of embodiment 3 of the present invention.
Fig. 11 is a second schematic diagram of the signal intensity distribution of the unmanned aerial vehicle route according to the control method of signal coverage of the unmanned aerial vehicle route of embodiment 3 of the present invention.
Fig. 12 is a schematic block diagram of a control system for signal coverage of an unmanned aerial vehicle route according to embodiment 4 of the present invention.
Fig. 13 is a schematic block diagram of a control system for signal coverage of an unmanned aerial vehicle route according to embodiment 5 of the present invention.
Fig. 14 is a schematic block diagram of a control system for signal coverage of an unmanned aerial vehicle route according to embodiment 6 of the present invention.
Fig. 15 is a schematic structural diagram of an electronic device for implementing a control method for signal coverage of an unmanned aerial vehicle route in embodiment 7 of the present invention.
Detailed Description
The invention is further illustrated by means of the following examples, which are not intended to limit the scope of the invention.
Example 1
As shown in fig. 1, the control method for signal coverage of the unmanned aerial vehicle route of the present embodiment includes:
s101, selecting a set number of target signal base stations distributed along the unmanned aerial vehicle route from a plurality of reference signal base stations within a set range from the unmanned aerial vehicle route;
the signal base station is a base station of a 4G network provided by an operator (e.g. mobile, telecommunications, etc.). The 4G network is adopted for data communication transmission, so that the operation cost can be effectively reduced.
After comprehensively considering various influencing factors such as surrounding topographic features, the existence of high-rise buildings and the like, selecting a target signal base station from a plurality of established reference signal base stations of an operator.
The target signal base stations distributed along the unmanned aerial vehicle route are selected, so that large-area signal coverage is not needed, and a pipeline type signal coverage area is formed around the unmanned aerial vehicle route, thereby greatly reducing the operation cost.
S102, presetting a target signal coverage range corresponding to each target signal base station and covering an unmanned aerial vehicle route;
the whole signal coverage area formed by the target signal coverage area of each target signal base station distributed along each unmanned aerial vehicle route covers the whole unmanned aerial vehicle route.
S103, acquiring an actual signal coverage range of a signal coverage unmanned aerial vehicle route transmitted by an antenna on a target signal base station;
s104, adjusting the angle of the antenna on the target signal base station until the actual signal coverage corresponding to the target signal base station contains the target signal coverage.
As shown in fig. 2, the target signal base stations distributed along the unmanned aerial vehicle route in this embodiment provide signal coverage of the pipeline type communication network (L represents the unmanned aerial vehicle route, P represents the signal coverage of the pipeline type communication network, and T represents each target signal base station), that is, no large-area signal coverage is needed, so long as the pipeline type area along the unmanned aerial vehicle route is covered by the signal, thus not only greatly reducing the operation cost, but also ensuring stable communication transmission of data, and meeting the communication requirement of the logistics unmanned aerial vehicle in the cruising process of the fixed route.
Specifically, as long as the unmanned aerial vehicle route cruises in the signal range emitted by the antennase:Sub>A of the target signal base station, for example, the signal coverage range is ase:Sub>A low-altitude range of 300-1000 meters, when the cruising height of the unmanned aerial vehicle is kept between 300-1000 meters, the establishment of ase:Sub>A communication link of the unmanned aerial vehicle is ensured, and the stable transmission of datase:Sub>A is ensured, so that the communication requirement of the distribution task of the unmanned aerial vehicle A-B-A (namely, the round trip distribution between A and B) is met; and the problem of signal interruption caused by directional coverage of a traditional radio station or earth curvature in the take-off and landing process of the logistics unmanned aerial vehicle is solved.
In this embodiment, through establishing many unmanned aerial vehicle airlines, select the target signal basic station to through the antenna angle on the target signal basic station of adjustment operator, guarantee that commodity circulation unmanned aerial vehicle can be covered by the signal in the cruising high altitude that unmanned aerial vehicle airlines correspond, realize not needing the signal cover of large tracts of land, only need to carry out signal cover to the pipeline type region that forms along unmanned aerial vehicle airlines can, thereby when guaranteeing steady data communication transmission, the running cost of current commodity circulation unmanned aerial vehicle has been reduced greatly, and the operation mode of brand-new commodity circulation unmanned aerial vehicle has been established, the development of commodity circulation business based on commodity circulation unmanned aerial vehicle has been promoted effectively.
Example 2
As shown in fig. 3, the control method of signal coverage of the unmanned aerial vehicle route of the present embodiment is a further improvement of embodiment 1, specifically:
the unmanned aerial vehicle of this embodiment includes logistics unmanned aerial vehicle, of course also can include the unmanned aerial vehicle that is used as other usage.
The step S101 includes:
s100, acquiring a pre-planned unmanned aerial vehicle route;
the unmanned aerial vehicle route comprises a route taking a logistics site as a delivery starting point and taking a receiving place as an end point;
wherein the receiving site comprises another logistics site and/or other types of receiving sites outside the logistics site.
The logistics site is a site for facilitating take-off and landing of the logistics unmanned aerial vehicle and carrying out cargo transportation.
Specifically, 1) when the receiving site is another type of receiving site (such as a receiving site of a city or county), a represents a receiving site (represented by a square), B represents another type of receiving site (represented by a circle), T represents a target signal base station (represented by a triangle), and L1 represents an unmanned aerial vehicle route (represented by a pipeline shape) having one receiving site as a delivery start point and another type of receiving site outside the receiving site as an end point, as shown in fig. 4.
At this time, each logistics site can establish a plurality of unmanned aerial vehicle routes according to actual demands, and form a plurality of pipeline type signal covered routes of one station and multiple machines.
2) When the receiving site is another logistics site, as shown in fig. 5, A1, A2 and A3 represent three logistics sites (represented by squares), B1 represents other types of receiving sites (represented by circles) outside the logistics site corresponding to the A1 logistics site, B2 represents other types of receiving sites (represented by circles) outside the logistics site corresponding to the A2 logistics site, B3 represents other types of receiving sites (represented by circles) outside the logistics site corresponding to the A3 logistics site, T represents a target signal base station (represented by triangles), and L2 represents an unmanned aerial vehicle route (represented by a pipeline shape) taking one logistics site as a delivery starting point and the other logistics site as an end point.
At this time, each logistics site can establish a plurality of unmanned aerial vehicle routes according to actual demands, and a plurality of pipeline type signal covered routes among the sites are formed.
After step S101 and before step S102, the method includes:
s1020, acquiring height data of a target signal base station, relative position data of the target signal base station and an unmanned aerial vehicle route, position data and height data of the unmanned aerial vehicle route;
Step S102 includes:
s1021, calculating to obtain a target signal coverage range covering the unmanned aerial vehicle route corresponding to each target signal base station according to the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, and the position data and the height data of the unmanned aerial vehicle route.
When a plurality of antennas are installed on the target signal base station, step S103 includes:
s1031, acquiring a first signal coverage area of a first signal coverage unmanned aerial vehicle route of a signal coverage unmanned aerial vehicle which is transmitted by each antenna on a target signal base station;
s1032, carrying out superposition processing on each first signal coverage area to obtain an actual signal coverage area.
Step S104 includes:
s1041, adjusting the angle of the antenna erected on the target signal base station, or adding the antenna on the target signal base station, and adjusting the angle of the added antenna until the actual signal coverage corresponding to the target signal base station contains the target signal coverage.
In the embodiment, compared with the existing network communication mode of adopting satellite relay or private network construction to realize the communication requirement of the logistics unmanned aerial vehicle distribution task, the method greatly reduces the operation cost by adjusting the antenna angle of an operator; and build novel commodity circulation unmanned aerial vehicle's commodity circulation network, the commodity circulation network of pipeline formula signal coverage mode of one station multimachine, multisite promptly has built brand-new commodity circulation unmanned aerial vehicle's operation mode, and once build the completion in commodity circulation network, just can support the transportation flight of many unmanned aerial vehicles on this route, the operation only need pay the flow expense that the operator corresponds can.
In this embodiment, through establishing many unmanned aerial vehicle airlines at every website, select the target signal basic station, and through the antenna angle on the target signal basic station of adjustment operator, guarantee that commodity circulation unmanned aerial vehicle can be covered by the signal is full at the cruising altitude that unmanned aerial vehicle airlines correspond, simultaneously, unmanned aerial vehicle airlines also realize signal full coverage between different websites equally, need not the signal coverage of large tracts of land promptly, only need to carry out signal coverage to the pipeline type region that forms along unmanned aerial vehicle airlines can, thereby when guaranteeing steady data communication transmission, the running cost of current commodity circulation unmanned aerial vehicle has been reduced greatly, and the operation mode of brand-new commodity circulation unmanned aerial vehicle has been built, the development of commodity circulation unmanned aerial vehicle-based logistics business has been promoted effectively.
Example 3
As shown in fig. 6, the control method of signal coverage of the unmanned aerial vehicle route of the present embodiment is a further improvement of embodiment 2, specifically:
step S1041 further includes:
s105, when the logistics unmanned aerial vehicle performs flight test on the unmanned aerial vehicle route, acquiring route signal intensity data corresponding to the unmanned aerial vehicle route acquired by the unmanned aerial vehicle;
s106, judging whether the route signal intensity data is smaller than a set threshold value, if so, determining the route position corresponding to the route signal intensity data, and adjusting the angle of an antenna on a target signal base station which can cover the route position.
The following is a detailed description of the situation:
because the number of signal base stations laid on the ground by an operator is quite dense, after the unmanned aerial vehicle route is planned, a certain number of proper target signal base stations are selected in a certain range (such as within 5 km) around the unmanned aerial vehicle route by combining surrounding terrain features, high-rise buildings and other influencing factors.
After the appropriate target signal base stations are selected, the target signal coverage and the target signal height of each target signal base station, which need to cover the unmanned aerial vehicle route, are determined. Because the height of the logistics unmanned aerial vehicle in the cruising stage is basically fixed, the height of each target signal base station is also fixed, and therefore, after the antenna on the target signal base station is adjusted to a certain angle, the whole unmanned aerial vehicle route can be completely covered.
When the signal emission direction of the antenna is toward the sky direction, the shielding object is small, the antenna with the same power is used, and the signal coverage area is larger than the antenna area toward the ground, so that the signal emission direction of the antenna is adjusted to be toward the sky direction.
Since the signal strength of the coverage area is inversely related to the distance from the antenna, the signal strength of the coverage area is weaker as the distance is greater, so that the signal coverage areas corresponding to two adjacent target signal base stations should overlap. As shown in fig. 7, T1 and T2 respectively represent two target signal base stations, a represents the starting point of the air route, b represents the end point of the air route, the left circular area S1 is the signal coverage corresponding to the target signal base station T1, the right circular area S2 is the signal coverage corresponding to the target signal base station T2, and the middle area S is the signal coverage common to the target signal base stations T1 and T2, so that the signal full coverage of the air route of the unmanned aerial vehicle is ensured, and if the distance between T1 and the starting point a is about 8km, the distance between T2 and the starting point b is about 4km, the distance between T1 and T2 is about 53km, and the signal transmission radius ranges of the target signal base stations T1 and T2 are all 50km, the distance between two adjacent target signal base stations T1 and T2 is between 10 km and 40km, so that the requirements can be satisfied.
After the position of the target signal base station is determined, determining a target signal coverage area corresponding to the target signal base station according to the position of the air route, the height of the target signal base station and the relative position of the target signal base station and the air route, determining the elevation angle of an antenna erected on the target signal base station by an operator according to the target signal coverage area, and adjusting the angle of the antenna according to the calculated elevation angle.
As shown in fig. 8, 3 target signal base stations TA, TB, TC are selected along the periphery of one unmanned aerial vehicle route, and the whole unmanned aerial vehicle route can be covered. Wherein, two opposite antennas can be arranged on each target signal base station, and the signals in two opposite directions of the route are respectively and repeatedly covered.
The shortest distance between the target signal base station TB and the route is about 3km, the area, close to the route, of the target signal base station is mainly cultivated land, no high-rise building exists, the topography is flat, the surrounding topography is uniformly distributed, and the target signal base station TB is an ideal choice for covering the route signals. The flying height of the logistics unmanned aerial vehicle is about 300m, the iron tower height is about 45m, the erection height of the actual target signal base station is about 35m, and the whole course elevation angle calculation result of the antenna on the target signal base station is as follows:
Direction Elevation angle (°) of antenna
Route origin → TB 0.69–5
TB-receiving terminal 5–0.46
After the antenna angle on the target signal base station is set, the pipeline area of the unmanned aerial vehicle route should be covered with signals in theory. However, because the relative positions of each point on the route from the antenna are different, the signal intensity distribution is different, and whether the whole-course communication data transmission requirement can be met in practice is particularly required, the actual logistics unmanned aerial vehicle is required to carry communication equipment for test flight, and further optimization and correction are performed.
For example, after analyzing the signal intensity data of the route acquired after the communication device is mounted on the logistics unmanned aerial vehicle, as shown in fig. 9 and 10, it can be seen that the signal intensity of the route L at the F area is abnormal, as shown in fig. 10 (the horizontal axis represents time, the unit min, and the vertical axis represents signal intensity in dB), that is, the signal intensity F of the route L at the F area is weak, which indicates that the signal coverage condition of the F area is bad, and the angle of the antenna on the corresponding target signal base station nearby needs to be adjusted or the antenna needs to be newly added so that the signal coverage of the F area meets the requirement. Finally, through repeated experimental optimization, the signal coverage effect of the whole unmanned aerial vehicle route reaches the requirement. As shown in fig. 11 (the horizontal axis represents time, the unit is min, the vertical axis represents signal strength, the unit is dB), the signal strength of the route at the F region is no longer abnormal, and the signal coverage requirement is satisfied, so that the problem of poor signal coverage effect is solved; and by analogy, the problem of full signal coverage of each unmanned aerial vehicle route is finally realized.
In this embodiment, through establishing many unmanned aerial vehicle airlines at every website, select the target signal basic station, and through the antenna angle on the target signal basic station of adjustment operator, guarantee that commodity circulation unmanned aerial vehicle can be covered by the signal is full at the cruising altitude that unmanned aerial vehicle airlines correspond, simultaneously, unmanned aerial vehicle airlines also realize signal full coverage between different websites equally, need not the signal coverage of large tracts of land promptly, only need to carry out signal coverage to the pipeline type region that forms along unmanned aerial vehicle airlines can, thereby when guaranteeing steady data communication transmission, the running cost of current commodity circulation unmanned aerial vehicle has been reduced greatly, and the operation mode of brand-new commodity circulation unmanned aerial vehicle has been built, the development of commodity circulation unmanned aerial vehicle-based logistics business has been promoted effectively.
Example 4
As shown in fig. 12, the control system for signal coverage of the unmanned aerial vehicle route in this embodiment includes a target signal base station selection module 1, a preset module 2, a coverage area acquisition module 3, and an adjustment module 4.
The target signal base station selecting module 1 is used for selecting a set number of target signal base stations distributed along the unmanned aerial vehicle route from a plurality of reference signal base stations within a set range from the unmanned aerial vehicle route;
The signal base station is a base station of a 4G network provided by an operator (e.g. mobile, telecommunications, etc.). The 4G network is adopted for data communication transmission, so that the operation cost can be effectively reduced.
After comprehensively considering various influencing factors such as surrounding topographic features, the existence of high-rise buildings and the like, selecting a target signal base station from a plurality of established reference signal base stations of an operator.
The target signal base stations distributed along the unmanned aerial vehicle route are selected, so that large-area signal coverage is not needed, and a pipeline type signal coverage area is formed around the unmanned aerial vehicle route, thereby greatly reducing the operation cost.
The presetting module 2 is used for presetting a target signal coverage range which corresponds to each target signal base station and covers the unmanned aerial vehicle route;
the whole signal coverage area formed by the target signal coverage area of each target signal base station distributed along each unmanned aerial vehicle route covers the whole unmanned aerial vehicle route.
The coverage area acquisition module 3 is used for acquiring the actual signal coverage area of the unmanned aerial vehicle route covered by the signal emitted by the antenna on the target signal base station;
the adjusting module 4 is configured to adjust an angle of the antenna on the target signal base station until the actual signal coverage area corresponding to the target signal base station includes the target signal coverage area.
As shown in fig. 2, the target signal base stations distributed along the unmanned aerial vehicle route in this embodiment provide signal coverage of the pipeline type communication network (L represents the unmanned aerial vehicle route, P represents the signal coverage of the pipeline type communication network, and T represents each target signal base station), that is, no large-area signal coverage is needed, so long as the pipeline type area along the unmanned aerial vehicle route is covered by the signal, thus not only greatly reducing the operation cost, but also ensuring stable communication transmission of data, and meeting the communication requirement of the logistics unmanned aerial vehicle in the cruising process of the fixed route.
Specifically, as long as the unmanned aerial vehicle route cruises in the signal range emitted by the antennase:Sub>A of the target signal base station, for example, the signal coverage range is ase:Sub>A low-altitude range of 300-1000 meters, when the cruising height of the unmanned aerial vehicle is kept between 300-1000 meters, the establishment of ase:Sub>A communication link of the unmanned aerial vehicle is ensured, and the stable transmission of datase:Sub>A is ensured, so that the communication requirement of the distribution task of the unmanned aerial vehicle A-B-A (namely, the round trip distribution between A and B) is met; and the problem of signal interruption caused by directional coverage of a traditional radio station or earth curvature in the take-off and landing process of the logistics unmanned aerial vehicle is solved.
In this embodiment, through establishing many unmanned aerial vehicle airlines at every website, select the target signal basic station, and through the antenna angle on the target signal basic station of adjustment operator, guarantee that commodity circulation unmanned aerial vehicle can be covered by the signal is full at the cruising altitude that unmanned aerial vehicle airlines correspond, simultaneously, unmanned aerial vehicle airlines between the different website also realize signal full coverage promptly, need not extensive signal coverage promptly, only need to carry out signal coverage to the pipeline type region that forms along unmanned aerial vehicle airlines can, thereby when guaranteeing steady data communication transmission, the running cost of current commodity circulation unmanned aerial vehicle has been reduced greatly, and the operation mode of having constructed brand-new commodity circulation unmanned aerial vehicle has promoted the development of commodity circulation business based on commodity circulation unmanned aerial vehicle effectively.
Example 5
As shown in fig. 13, the control system for signal coverage of the unmanned aerial vehicle route of the present embodiment is a further improvement of embodiment 4, specifically:
the unmanned aerial vehicle of this embodiment includes logistics unmanned aerial vehicle, of course also can include the unmanned aerial vehicle that is used as other usage.
The control system comprises an airline acquisition module 5 and a first data acquisition module 6.
The route acquisition module 5 is used for acquiring a pre-planned unmanned aerial vehicle route;
The unmanned aerial vehicle route comprises a route taking a logistics site as a delivery starting point and taking a receiving place as an end point;
wherein the receiving site comprises another logistics site and/or other types of receiving sites outside the logistics site.
The logistics site is a site for facilitating take-off and landing of the logistics unmanned aerial vehicle and carrying out cargo transportation.
Specifically, 1) when the receiving site is another type of receiving site (such as a receiving site of a city or county), a represents a receiving site (represented by a square), B represents another type of receiving site (represented by a circle), T represents a target signal base station (represented by a triangle), and L1 represents an unmanned aerial vehicle route (represented by a pipeline shape) having one receiving site as a delivery start point and another type of receiving site outside the receiving site as an end point, as shown in fig. 4.
At this time, each logistics site can establish a plurality of unmanned aerial vehicle routes according to actual demands, and form a plurality of pipeline type signal covered routes of one station and multiple machines.
2) When the receiving site is another logistics site, as shown in fig. 5, A1, A2 and A3 represent three logistics sites (represented by squares), B1 represents other types of receiving sites (represented by circles) outside the logistics site corresponding to the A1 logistics site, B2 represents other types of receiving sites (represented by circles) outside the logistics site corresponding to the A2 logistics site, B3 represents other types of receiving sites (represented by circles) outside the logistics site corresponding to the A3 logistics site, T represents a target signal base station (represented by triangles), and L2 represents an unmanned aerial vehicle route (represented by a pipeline shape) taking one logistics site as a delivery starting point and the other logistics site as an end point.
At this time, each logistics site can establish a plurality of unmanned aerial vehicle routes according to actual demands, and a plurality of pipeline type signal covered routes among the sites are formed.
The first data acquisition module 6 is used for acquiring the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, the position data and the height data of the unmanned aerial vehicle route;
the preset module 2 is further configured to calculate, according to the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, the position data and the height data of the unmanned aerial vehicle route, to obtain a target signal coverage area corresponding to the target signal base station.
When a plurality of antennas are installed on the target signal base station, the coverage acquisition module 3 includes a first signal coverage acquisition unit 7 and an actual coverage acquisition unit 8.
The first signal coverage area acquisition unit 7 is used for acquiring a first signal coverage area of a signal coverage unmanned aerial vehicle route transmitted by each antenna on the target signal base station;
the actual coverage area obtaining unit 8 is configured to perform superposition processing on each first signal coverage area, and obtain an actual signal coverage area.
The adjusting module 4 is configured to adjust an angle of an antenna already installed on the target signal base station, or add an antenna to the target signal base station, and adjust an angle of the added antenna until an actual signal coverage corresponding to the target signal base station includes the target signal coverage.
In the embodiment, compared with the existing network communication mode of adopting satellite relay or private network construction to realize the communication requirement of the logistics unmanned aerial vehicle distribution task, the method greatly reduces the operation cost by adjusting the antenna angle of an operator; and build novel commodity circulation unmanned aerial vehicle's commodity circulation network, the commodity circulation network of pipeline formula signal coverage mode of one station multimachine, multisite promptly has built brand-new commodity circulation unmanned aerial vehicle's operation mode, and once build the completion in commodity circulation network, just can support the transportation flight of many unmanned aerial vehicles on this route, the operation only need pay the flow expense that the operator corresponds can.
In this embodiment, through establishing many unmanned aerial vehicle airlines at every website, select the target signal basic station, and through the antenna angle on the target signal basic station of adjustment operator, guarantee that commodity circulation unmanned aerial vehicle can be covered by the signal is full at the cruising altitude that unmanned aerial vehicle airlines correspond, simultaneously, unmanned aerial vehicle airlines between the different website also realize signal full coverage promptly, need not extensive signal coverage promptly, only need to carry out signal coverage to the pipeline type region that forms along unmanned aerial vehicle airlines can, thereby when guaranteeing steady data communication transmission, the running cost of current commodity circulation unmanned aerial vehicle has been reduced greatly, and the operation mode of having constructed brand-new commodity circulation unmanned aerial vehicle has promoted the development of commodity circulation business based on commodity circulation unmanned aerial vehicle effectively.
Example 6
As shown in fig. 14, the control system for signal coverage of the unmanned aerial vehicle route of the present embodiment is a further improvement of embodiment 5, specifically:
the control system further comprises a signal strength data acquisition module 9 and a judgment module 10.
The signal intensity data acquisition module 9 is used for acquiring route signal intensity data corresponding to the unmanned aerial vehicle route acquired by the unmanned aerial vehicle when the logistics unmanned aerial vehicle performs flight test on the unmanned aerial vehicle route;
the judging module 10 is configured to judge whether the route signal intensity data is smaller than a set threshold value, and if so, call the adjusting module 4 to adjust the angle of the antenna on the target signal base station that can cover the route position corresponding to the route signal intensity data.
The following is a detailed description of the situation:
because the number of signal base stations laid on the ground by an operator is quite dense, after the unmanned aerial vehicle route is planned, a certain number of proper target signal base stations are selected in a certain range (such as within 5 km) around the unmanned aerial vehicle route by combining surrounding terrain features, high-rise buildings and other influencing factors.
After the appropriate target signal base stations are selected, the target signal coverage and the target signal height of each target signal base station, which need to cover the unmanned aerial vehicle route, are determined. Because the height of the logistics unmanned aerial vehicle in the cruising stage is basically fixed, the height of each target signal base station is also fixed, and therefore, after the antenna on the target signal base station is adjusted to a certain angle, the whole unmanned aerial vehicle route can be completely covered.
When the signal emission direction of the antenna is toward the sky direction, the shielding object is small, the antenna with the same power is used, and the signal coverage area is larger than the antenna area toward the ground, so that the signal emission direction of the antenna is adjusted to be toward the sky direction.
Since the signal strength of the coverage area is inversely related to the distance from the antenna, the signal strength of the coverage area is weaker as the distance is greater, so that the signal coverage areas corresponding to two adjacent target signal base stations should overlap. As shown in fig. 7, T1 and T2 respectively represent two target signal base stations, a represents the starting point of the air route, b represents the end point of the air route, the left circular area S1 is the signal coverage corresponding to the target signal base station T1, the right circular area S2 is the signal coverage corresponding to the target signal base station T2, and the middle area S is the signal coverage common to the target signal base stations T1 and T2, so that the signal full coverage of the air route of the unmanned aerial vehicle is ensured, and if the distance between T1 and the starting point a is about 8km, the distance between T2 and the starting point b is about 4km, the distance between T1 and T2 is about 53km, and the signal transmission radius ranges of the target signal base stations T1 and T2 are all 50km, the distance between two adjacent target signal base stations T1 and T2 is between 10 km and 40km, so that the requirements can be satisfied.
After the position of the target signal base station is determined, determining a target signal coverage area corresponding to the target signal base station according to the position of the air route, the height of the target signal base station and the relative position of the target signal base station and the air route, determining the elevation angle of an antenna erected on the target signal base station by an operator according to the target signal coverage area, and adjusting the angle of the antenna according to the calculated elevation angle.
As shown in fig. 8, 3 target signal base stations TA, TB, TC are selected along the periphery of one unmanned aerial vehicle route, and the whole unmanned aerial vehicle route can be covered. Wherein, two opposite antennas can be arranged on each target signal base station, and the signals in two opposite directions of the route are respectively and repeatedly covered.
The shortest distance between the target signal base station TB and the route is about 3km, the area, close to the route, of the target signal base station is mainly cultivated land, no high-rise building exists, the topography is flat, the surrounding topography is uniformly distributed, and the target signal base station TB is an ideal choice for covering the route signals. The flying height of the logistics unmanned aerial vehicle is about 300m, the iron tower height is about 45m, the erection height of the actual target signal base station is about 35m, and the whole course elevation angle calculation result of the antenna on the target signal base station is as follows:
Direction Elevation angle (°) of antenna
Route origin → TB 0.69–5
TB-receiving terminal 5–0.46
After the antenna angle on the target signal base station is set, the pipeline area of the unmanned aerial vehicle route should be covered with signals in theory. However, because the relative positions of each point on the route from the antenna are different, the signal intensity distribution is different, and whether the whole-course communication data transmission requirement can be met in practice is particularly required, the actual logistics unmanned aerial vehicle is required to carry communication equipment for test flight, and further optimization and correction are performed.
For example, after analyzing the signal intensity data of the route acquired after the communication device is mounted on the logistics unmanned aerial vehicle, as shown in fig. 9 and 10, it can be seen that the signal intensity of the route L at the F area is abnormal, as shown in fig. 10 (the horizontal axis represents time, the unit min, and the vertical axis represents signal intensity in dB), that is, the signal intensity F of the route L at the F area is weak, which indicates that the signal coverage condition of the F area is bad, and the angle of the antenna on the corresponding target signal base station nearby needs to be adjusted or the antenna needs to be newly added so that the signal coverage of the F area meets the requirement. Finally, through repeated experimental optimization, the signal coverage effect of the whole unmanned aerial vehicle route reaches the requirement. As shown in fig. 11 (the horizontal axis represents time, the unit is min, the vertical axis represents signal strength, the unit is dB), the signal strength of the route at the F region is no longer abnormal, and the signal coverage requirement is satisfied, so that the problem of poor signal coverage effect is solved; and by analogy, the problem of full signal coverage of each unmanned aerial vehicle route is finally realized.
In this embodiment, through establishing many unmanned aerial vehicle airlines at every website, select the target signal basic station, and through the antenna angle on the target signal basic station of adjustment operator, guarantee that commodity circulation unmanned aerial vehicle can be covered by the signal is full at the cruising altitude that unmanned aerial vehicle airlines correspond, simultaneously, the second unmanned aerial vehicle airlines also realize signal full coverage between different websites, need not extensive signal coverage promptly, only need to carry out signal coverage to the pipeline type region that forms along unmanned aerial vehicle airlines can, thereby when guaranteeing steady data communication transmission, the running cost of current commodity circulation unmanned aerial vehicle has been reduced greatly, and the operation mode of having constructed brand-new commodity circulation unmanned aerial vehicle has promoted the development of commodity circulation business based on commodity circulation unmanned aerial vehicle effectively.
Example 7
Fig. 15 is a schematic structural diagram of an electronic device according to embodiment 7 of the present invention. The electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the control method of signal coverage of the unmanned aerial vehicle route in any of embodiments 1 to 3 when executing the program. The electronic device 30 shown in fig. 15 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.
As shown in fig. 15, the electronic device 30 may be in the form of a general purpose computing device, which may be a server device, for example. Components of electronic device 30 may include, but are not limited to: the at least one processor 31, the at least one memory 32, a bus 33 connecting the different system components, including the memory 32 and the processor 31.
The bus 33 includes a data bus, an address bus, and a control bus.
Memory 32 may include volatile memory such as Random Access Memory (RAM) 321 and/or cache memory 322, and may further include Read Only Memory (ROM) 323.
Memory 32 may also include a program/utility 325 having a set (at least one) of program modules 324, such program modules 324 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The processor 31 executes various functional applications and data processing, such as the control method of signal coverage of the unmanned aerial vehicle course in any of embodiments 1 to 3 of the present invention, by running a computer program stored in the memory 32.
The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). Such communication may be through an input/output (I/O) interface 35. Also, model-generating device 30 may also communicate with one or more networks, such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet, via network adapter 36. As shown in fig. 15, network adapter 36 communicates with the other modules of model-generating device 30 via bus 33. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in connection with the model-generating device 30, including, but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, data backup storage systems, and the like.
It should be noted that although several units/modules or sub-units/modules of an electronic device are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more units/modules described above may be embodied in one unit/module in accordance with embodiments of the present invention. Conversely, the features and functions of one unit/module described above may be further divided into ones that are embodied by a plurality of units/modules.
Example 8
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs steps in a method of controlling signal coverage of a unmanned aerial vehicle route in any of embodiments 1 to 3.
More specifically, among others, readable storage media may be employed including, but not limited to: portable disk, hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible embodiment, the invention may also be realized in the form of a program product comprising program code for causing a terminal device to carry out the steps of the control method for realizing signal coverage of a drone route in any of embodiments 1 to 3, when the program product is run on the terminal device.
Wherein the program code for carrying out the invention may be written in any combination of one or more programming languages, the program code may execute entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device, partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the principles and spirit of the invention, but such changes and modifications fall within the scope of the invention.

Claims (18)

1. A control method for signal coverage of an unmanned aerial vehicle route, the control method comprising:
selecting a set number of target signal base stations distributed along the unmanned aerial vehicle route from a plurality of reference signal base stations within a set range from the unmanned aerial vehicle route;
presetting a target signal coverage range corresponding to each target signal base station and covering the unmanned aerial vehicle route;
the whole signal coverage area formed by the target signal coverage area of each target signal base station distributed along each unmanned aerial vehicle route forms a pipeline type signal coverage area and covers the whole unmanned aerial vehicle route;
acquiring an actual signal coverage area of a signal transmitted by an antenna on the target signal base station for covering the unmanned aerial vehicle route;
And adjusting the angle of the antenna on the target signal base station until the actual signal coverage area corresponding to the target signal base station contains the target signal coverage area.
2. The method for controlling signal coverage of an unmanned aerial vehicle according to claim 1, wherein the step of adjusting the angle of the antenna on the target signal base station until the actual signal coverage corresponding to the target signal base station includes the target signal coverage further comprises:
when an unmanned aerial vehicle performs flight test on the unmanned aerial vehicle route, acquiring route signal intensity data corresponding to the unmanned aerial vehicle route acquired by the unmanned aerial vehicle;
and judging whether the route signal intensity data is smaller than a set threshold value, if so, determining the route position corresponding to the route signal intensity data, and adjusting the angle of the antenna on the target signal base station which can cover the route position.
3. The method for controlling signal coverage of an unmanned aerial vehicle according to claim 1, wherein the step of adjusting the angle of the antenna on the target signal base station until the actual signal coverage corresponding to the target signal base station includes the target signal coverage comprises:
And adjusting the angle of the antenna erected on the target signal base station, or adding the antenna on the target signal base station, and adjusting the angle of the added antenna until the actual signal coverage corresponding to the target signal base station comprises the target signal coverage.
4. The method for controlling signal coverage of a unmanned aerial vehicle according to claim 1, wherein when a plurality of the antennas are installed on the target signal base station, the step of acquiring the actual signal coverage of the unmanned aerial vehicle by the signals transmitted by the antennas on the target signal base station comprises:
acquiring a first signal coverage range of signals transmitted by each antenna on the target signal base station to cover the unmanned aerial vehicle route;
and carrying out superposition processing on each first signal coverage area to obtain the actual signal coverage area.
5. The method of controlling signal coverage of an unmanned aerial vehicle route of claim 1, wherein the unmanned aerial vehicle comprises a logistical unmanned aerial vehicle;
the step of selecting a set number of target signal base stations distributed along the unmanned aerial vehicle route from a plurality of reference signal base stations within a set range from the unmanned aerial vehicle route further comprises the following steps:
Acquiring a pre-planned unmanned aerial vehicle route;
the unmanned aerial vehicle route comprises a route taking a logistics site as a delivery starting point and taking a receiving place as an end point;
the receiving location includes another logistics site and/or other types of receiving locations outside the logistics site.
6. The method of controlling signal coverage of a drone route of claim 5, wherein each of the logistics sites comprises a plurality of the drone routes.
7. The method for controlling signal coverage of a drone route according to claim 1, wherein after the step of selecting a set number of target signal base stations distributed along the drone route from among a plurality of reference signal base stations within a set range from the drone route, the step of presetting a target signal coverage of the drone route corresponding to each of the target signal base stations further comprises:
acquiring the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, and the position data and the height data of the unmanned aerial vehicle route;
the step of presetting the target signal coverage range corresponding to each target signal base station and covering the unmanned aerial vehicle route comprises the following steps:
And calculating to obtain a target signal coverage area corresponding to each target signal base station and covering the unmanned aerial vehicle route according to the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, and the position data and the height data of the unmanned aerial vehicle route.
8. The method for controlling signal coverage of a unmanned aerial vehicle route according to claim 1, wherein two antennas with opposite directions are installed on each target signal base station.
9. The control system for signal coverage of the unmanned aerial vehicle route is characterized by comprising a target signal base station selection module, a preset module, a coverage area acquisition module and an adjustment module;
the target signal base station selection module is used for selecting a set number of target signal base stations distributed along the unmanned aerial vehicle route from a plurality of reference signal base stations within a set range from the unmanned aerial vehicle route;
the presetting module is used for presetting a target signal coverage range corresponding to each target signal base station and covering the unmanned aerial vehicle route;
the whole signal coverage area formed by the target signal coverage area of each target signal base station distributed along each unmanned aerial vehicle route forms a pipeline type signal coverage area and covers the whole unmanned aerial vehicle route;
The coverage area acquisition module is used for acquiring the actual signal coverage area of the unmanned aerial vehicle route covered by the signal emitted by the antenna on the target signal base station;
the adjustment module is used for adjusting the angle of the antenna on the target signal base station until the actual signal coverage corresponding to the target signal base station contains the target signal coverage.
10. The control system of signal coverage of a unmanned aerial vehicle route of claim 9, wherein the control system further comprises a signal strength data acquisition module and a judgment module;
the signal intensity data acquisition module is used for acquiring route signal intensity data corresponding to the unmanned aerial vehicle route acquired by the unmanned aerial vehicle when the unmanned aerial vehicle performs flight test on the unmanned aerial vehicle route;
the judging module is used for judging whether the route signal intensity data is smaller than a set threshold value, if yes, determining the route position corresponding to the route signal intensity data, and adjusting the angle of the antenna on the target signal base station which can cover the route position.
11. The control system of signal coverage of an unmanned aerial vehicle route according to claim 9, wherein the adjustment module is configured to adjust an angle of the antenna that is already installed on the target signal base station, or to add an antenna to the target signal base station, and to adjust an angle of the added antenna until the actual signal coverage corresponding to the target signal base station includes the target signal coverage.
12. The control system for signal coverage of an unmanned aerial vehicle of claim 9, wherein the coverage acquisition module comprises a signal first coverage acquisition unit and an actual coverage acquisition unit when a plurality of the antennas are installed on the target signal base station;
the first coverage area acquisition unit is used for acquiring a first signal coverage area of the unmanned aerial vehicle route covered by signals transmitted by each antenna on the target signal base station;
the actual coverage area obtaining unit is configured to perform superposition processing on each of the first signal coverage areas, and obtain the actual signal coverage area.
13. The control system for signal coverage of an unmanned aerial vehicle of claim 9, wherein the unmanned aerial vehicle comprises a logistical unmanned aerial vehicle;
the control system also comprises an air route acquisition module;
the route acquisition module is used for acquiring a pre-planned route of the unmanned aerial vehicle;
the unmanned aerial vehicle route comprises a route taking a logistics site as a delivery starting point and taking a receiving place as an end point;
the receiving location includes another logistics site and/or other types of receiving locations outside the logistics site.
14. The control system for signal coverage of a drone route of claim 13, wherein each of the logistics sites comprises a plurality of the drone routes.
15. The control system for signal coverage of a unmanned aerial vehicle of claim 9, wherein the control system further comprises a first data acquisition module;
the first data acquisition module is used for acquiring the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, the position data and the height data of the unmanned aerial vehicle route;
the preset module is further used for calculating to obtain the target signal coverage range corresponding to the target signal base station according to the height data of the target signal base station, the relative position data of the target signal base station and the unmanned aerial vehicle route, the position data of the unmanned aerial vehicle route and the height data.
16. The control system for signal coverage of a unmanned aerial vehicle of claim 9, wherein two antennas are installed on each of the target signal base stations in opposite directions.
17. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements a method for controlling signal coverage of a drone route according to any one of claims 1-8 when the computer program is executed.
18. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the control method of signal coverage of a drone route according to any one of claims 1-8.
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CN115882915A (en) * 2021-09-26 2023-03-31 中兴通讯股份有限公司 Antenna selection method, device, baseband processing unit, base station and storage medium
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106454739A (en) * 2016-11-07 2017-02-22 北京佰才邦技术有限公司 Base station deployment method, network server and unmanned aerial vehicle
WO2017211030A1 (en) * 2016-06-07 2017-12-14 南方科技大学 Communications control method and device for unmanned aerial vehicle
CN107734604A (en) * 2016-08-10 2018-02-23 中国移动通信有限公司研究院 The control device of the low latitude network coverage, the control device and method of unmanned plane
CN107786253A (en) * 2016-08-26 2018-03-09 北京臻迪机器人有限公司 A kind of method of controlling antenna and device
CN109361478A (en) * 2018-10-19 2019-02-19 天宇经纬(北京)科技有限公司 A kind of UAV Communication method of quality control, apparatus and system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017211030A1 (en) * 2016-06-07 2017-12-14 南方科技大学 Communications control method and device for unmanned aerial vehicle
CN107734604A (en) * 2016-08-10 2018-02-23 中国移动通信有限公司研究院 The control device of the low latitude network coverage, the control device and method of unmanned plane
CN107786253A (en) * 2016-08-26 2018-03-09 北京臻迪机器人有限公司 A kind of method of controlling antenna and device
CN106454739A (en) * 2016-11-07 2017-02-22 北京佰才邦技术有限公司 Base station deployment method, network server and unmanned aerial vehicle
CN109361478A (en) * 2018-10-19 2019-02-19 天宇经纬(北京)科技有限公司 A kind of UAV Communication method of quality control, apparatus and system

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