Optimized arrangement method of solar unmanned aerial vehicle base station in maritime communication blind area

Abstract

The invention discloses an optimal arrangement method of a solar unmanned aerial vehicle base station in a maritime communication blind area, and belongs to the technical field of unmanned aerial vehicle base station communication. The method comprises the following steps: S1, establishing a sea area meteorological environment database; s2, collecting data in real time; s3, setting a data change threshold value; s4, readjusting or self-adapting the unmanned aerial vehicle; if the data change amplitude in the database exceeds a threshold value, readjustment is triggered, and the control terminal replans the flight state, layout and the like of the unmanned aerial vehicle according to the database; if the data change amplitude in the database is smaller than a threshold value, self-adaption is triggered by default; and S5, accurately positioning the unmanned aerial vehicle. Through combination and cooperative work of a communication technology, unmanned aerial vehicle control, dynamic scheduling, high-precision positioning, environment simulation, automation and autonomous technologies and the like, the problem of a sea communication blind area is solved, and efficient and stable communication is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned aerial vehicle (UAV) base station communication, and particularly to an optimization layout method for a solar UAV base station in a marine communication blind area. Background Art

[0002] With the increasing frequency of human marine activities, the role of marine communication guarantee in marine activities has become more prominent. Different from land communication guarantee, marine communication not only provides convenience for the communication of marine vessels, but also provides communication guarantee for marine natural disasters and maritime emergencies. Due to the harsh marine environment and the lack of infrastructure, it has become a difficult problem to reasonably optimize the layout of solar UAVs to build communication links.

[0003] Therefore, it is necessary to provide an optimization layout method for a solar UAV base station in a marine communication blind area. Summary of the Invention

[0004] The purpose of the present invention is to provide an optimization layout method for a solar UAV base station in a marine communication blind area, so as to solve the problem in the prior art that due to the harsh marine environment and the lack of infrastructure, it is impossible to reasonably optimize the layout of solar UAVs to build communication links.

[0005] In order to achieve the above purpose, the present invention adopts the following technical solutions: An optimization layout method for a solar UAV base station in a marine communication blind area, the specific steps are as follows: S1, establish a marine meteorological environment database Collect meteorological and environmental data of each sea area in real time through satellites, establish and update the database; share the database with the UAV; S2, collect data in real time Use various sensors carried by the UAV to collect data affecting the flight and communication quality of the UAV and upload them to the database; S3, set data change thresholds The database sets different thresholds according to the influence degree of meteorological and environmental data on the flight and communication quality of the UAV; S4, readjustment or self-adaptation of the UAV If the data change range in the database exceeds the threshold, readjustment is triggered, and the control terminal will re-plan the flight state, layout, etc. of the UAV according to the database; if the data change range in the database is less than the threshold, self-adaptation is triggered by default; S5, precise positioning of the UAV The UAV is equipped with a Beidou positioning system for positioning ships on the sea area covered by it.

[0006] Further, the drone is equipped with a real-time signal monitoring system for uploading real-time communication quality and signal strength data to the database.

[0007] Further, the drone is equipped with an autonomous decision-making system. When the data change amplitude is less than the threshold, the autonomous decision-making system will adjust the drone's state according to the changed data.

[0008] Further, the influence of environmental factors on the drone's flight state is optimized through the adaptive adjustment, and the changes in communication quality and signal strength are optimized through the readjustment.

[0009] Further, if there are certain differences between the data collected by the satellite and the data collected by the drone, the database will perform reasonable logical inferences through other conditions to obtain relatively reasonable data results.

[0010] Further, in step S3, a data change threshold is set for each data in the database to determine whether the drone performs the readjustment or the adaptive adjustment after the data changes.

[0011] The present invention has the following beneficial effects: The present invention establishes a meteorological environment information database that can be updated in real time through the ocean meteorological environment information collected by meteorological satellites to address the problem of building communication links in different sea areas and sea conditions; sets a data change threshold according to the changes in the meteorological environment of the target sea area. When the data change amplitude in the database does not exceed the threshold, the autonomous decision-making system equipped on the drone will adjust the flight state of the drone in real time; when the data change amplitude in the database exceeds the threshold, the drone control terminal will re-plan the flight state and communication frequency band of the drone to ensure the smooth flight of the drone, the best communication quality, the best signal strength, the smallest communication blind area, and the most reasonable energy consumption, solving the problem in the prior art that due to the harsh marine environment and the lack of infrastructure, it is impossible to reasonably optimize the layout of solar drones to build communication links. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 is the optimization adjustment flowchart of the embodiment of the present application; Figure 2 is the positioning flowchart of the drone and the ship in the embodiment of the present application; Figure 3 is the schematic diagram of the application scenario of the embodiment of the present application. DETAILED DESCRIPTION OF THE INVENTION

[0013] Next, in combination with the embodiments of the present invention, the technical solutions of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0014] This application provides an optimization layout method for a solar unmanned aerial vehicle (UAV) base station in a marine communication blind area, aiming to ensure good communication quality in the target area through this optimization layout method. In case of a marine emergency, other units can know the location of the ship through the UAV, and relevant departments can quickly take measures to ensure the safety of the crew.

[0015] This application establishes a meteorological environment information database that can be updated in real time through the marine meteorological environment information collected by meteorological satellites to address the problem of building communication links in different sea areas and sea conditions. A data change threshold is set according to the change of the meteorological environment in the target sea area. When the data change range in the database does not exceed the threshold, the autonomous decision-making system equipped on the UAV will adjust the flight state of the UAV in real time. When the data change range in the database exceeds the threshold, the UAV control terminal will re-plan the flight state and communication frequency band of the UAV, etc., to ensure stable UAV flight, optimal communication quality, best signal strength, minimum communication blind area, and most reasonable energy consumption, solving the problem in the prior art that due to the harsh marine environment and lack of infrastructure, it is impossible to reasonably optimize the layout of solar UAVs to build communication links.

[0016] Refer to Figure 1 and Figure 2 , the embodiments of this application provide an optimization layout method for a solar UAV base station in a marine communication blind area, and the specific steps are as follows: S1. Establish a sea area meteorological environment database Real-time collect meteorological and environmental data of different sea areas, different sea conditions, and different weathers through satellites, establish and update the database; and share the database with the UAV.

[0017] Specifically, the meteorological satellite will collect the meteorological and environmental data of the target sea area in real time and upload the data to the database. Once the UAV detects a change in the weather or sea condition of the target sea area, the satellite will update the changed data in a timely manner. If the data collected by the satellite is quite different from the data collected by the UAV, the database will perform reasonable logical inferences through other existing conditions such as seasons and weather to obtain a relatively reasonable data result, thereby reducing the error existing in the data.

[0018] S2. Collect data in real time Use a variety of sensors carried by the drone to collect data that affects the flight and communication quality of the drone and upload it to the database.

[0019] It can be understood that some environmental factors that may affect communication quality, signal strength, and the flight state of the drone cannot be accurately measured by meteorological satellites and can only be measured by sensors equipped on the drone itself. The obtained data will be uploaded to the database. In addition, each drone is also equipped with a real-time signal monitoring system, which will upload the communication quality and signal strength at this time as data to the database.

[0020] S3, Set data change thresholds The database sets different thresholds according to the impact of meteorological and environmental data on the flight and communication quality of the drone.

[0021] It should be noted that the database will give different data change thresholds according to the degree of influence of each environmental data on the drone and communication. Each data will be set with a data change threshold, which will determine whether the drone will be readjusted or adapt after the data changes.

[0022] S4, Drone readjustment or adaptation If the data change range in the database exceeds the threshold, readjustment will be triggered, and the control terminal will re-plan the flight state, layout, etc. of the drone according to the database; if the data change range in the database is less than the threshold, adaptation will be triggered by default.

[0023] It should be noted that if the data change range in the database has exceeded the threshold, the drone control terminal will re-plan the flight state of the drone to ensure the best communication quality and flight stability of the drone. For example, the sea wind direction and wind speed change greatly and have exceeded the threshold, seriously affecting the flight stability of the drone. At this time, the control terminal will adjust the flight direction, flight trajectory, and flight speed of the drone according to the current wind speed and wind direction to ensure that the drone can fly stably. If the communication quality or signal strength suddenly weakens, seriously affecting the normal operation of the communication link, the control terminal will first reasonably infer the specific reasons affecting the communication quality and signal strength based on other data, such as multipath propagation effects, electromagnetic interference, etc. After finding the problem reason, it can "prescribe the right medicine". For multipath propagation effects, the flight height of the drone can be increased, etc.; for electromagnetic interference, frequency hopping technology, signal processing technology, etc. can be used to reduce the impact of electromagnetic interference on communication.

[0024] The drone is equipped with an autonomous decision-making system. When the data change range does not exceed the threshold, the autonomous decision-making system will fine-tune the drone state according to the changed data.

[0025] Among them, the adaptation only adjusts according to the influence of environmental factors on the flight state of the UAV, and the changes in communication quality and signal strength can only be optimized through readjustment.

[0026] S5. UAV precise positioning The UAV is equipped with a Beidou positioning system for positioning ships in the sea area it covers. Once a maritime emergency occurs, the UAV will precisely position the target ship, and after obtaining the position information, it will transmit it to the land and nearby ships so that emergency measures can be taken quickly.

[0027] By combining and collaborating with communication technology, UAV control, dynamic scheduling, high-precision positioning, environmental simulation, automation and autonomy technology, etc., the present invention solves the problem of maritime communication blind spots and realizes efficient and stable communication.

[0028] In the present invention, after determining the maritime communication blind spots, considering the influence of ocean environmental changes on the UAV, the flight state, communication quality, etc. of the UAV are reasonably optimized on the premise of not affecting the function implementation, so that there is no problem of poor communication quality or communication blind spots between two UAVs.

[0029] Refer to Figure 3 , taking a maritime channel as an example, the UAV communication link established by the present invention needs to realize communication between cargo ships and two-way communication between cargo ships and the two places of the channel. In case of a maritime emergency, the UAV can precisely position the ship through the Beidou positioning system equipped on itself, so that the land or nearby ships can know the position of the cargo ship and take measures quickly.

[0030] The embodiments described above are only descriptions of the preferred modes of the present invention, and do not limit the scope of the present invention. Without departing from the design spirit of the present invention, various deformations and improvements made by those of ordinary skill in the art to the technical solutions of the present invention shall fall within the protection scope determined by the claims of the present invention.

Claims

1. A method for optimizing the layout of solar-powered UAV base stations in marine communication blind spots, characterized in that: The specific steps are as follows: S1, establish a marine meteorological environment database, Collect weather and environmental data of various sea areas in real time through satellites and establish and update databases; share the databases with drones; S2, real-time data collection, Using various sensors carried by the drone to collect data that affects the flight and communication quality of the drone and upload it to the database; S3, data change threshold setting, The database sets different thresholds according to the degree of influence of meteorological and environmental data on the flight and communication quality of the UAV; S4, drone readjustment or self-adaptation, If the data change in the database exceeds the threshold, re-adjustment is triggered, and the control terminal will re-plan the flight status, layout, etc. of the drone according to the database; if the data change in the database is less than the threshold, adaptation is triggered by default; The drone is equipped with an autonomous decision-making system. When the data change amplitude is less than a threshold, the autonomous decision-making system will adjust the drone state according to the changed data. The influence of environmental factors on the flight state of the UAV is optimized through the adaptive adjustment, and the changes in communication quality and signal strength are optimized through the readjustment; S5, precise positioning of drones, The drone is equipped with the BeiDou positioning system, which is used to locate ships in the sea area it covers.

2. The method for optimizing the arrangement of solar-powered UAV base stations in marine communication blind spots according to claim 1 is characterized in that: The drone is equipped with a real-time signal monitoring system for uploading real-time communication quality and signal strength data to the database.

3. The method for optimizing the arrangement of solar-powered UAV base stations in marine communication blind spots according to claim 1 is characterized in that: If the data collected by the satellite is different from the data collected by the drone, the database will perform reasonable logical inference through other conditions to obtain relatively reasonable data results.

4. The method for optimizing the arrangement of solar-powered UAV base stations in marine communication blind spots according to claim 1 is characterized in that: In step S3, a data change threshold is set for each data in the database to determine whether the drone performs the readjustment or the adaptation after the data changes.

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