Efficiency adaptation method applied to stratosphere solar communication unmanned aerial vehicle

Abstract

The invention discloses an efficiency adaptation method applied to a stratosphere solar communication unmanned aerial vehicle, and belongs to the technical field of communication technology and data management. The method comprises the following steps: establishing and updating a solar radiation intensity database; forming a solar radiation intensity geographic information graph; the unmanned aerial vehicle sails according to the planned route; collecting solar radiation intensity data in real time; setting a threshold value and updating data; and the flight condition of the unmanned aerial vehicle is optimized and adjusted. The stratosphere solar radiation intensity database is updated in real time through data such as the solar radiation intensity in the stratosphere environment collected in real time, and the database optimizes and adjusts the flight path, attitude and electric quantity management of the unmanned aerial vehicle within the range specified by the flight task according to the geographic information map, so that the cruising ability of the unmanned aerial vehicle in the stratosphere is improved; and the unmanned aerial vehicle can complete a flight task.

Description

Technical Field

[0001] The present invention relates to the fields of communication technology and data management technology, and in particular to an efficiency adaptation method applied to a stratospheric solar energy communication unmanned aerial vehicle. Background Art

[0002] As solar-powered drones are widely used in fields such as communications and monitoring, controlling their power consumption has become one of the key technologies. However, the charging efficiency and power retention capacity of solar cells are closely dependent on the intensity of solar radiation and the complexity of the intensity of solar radiation in the stratosphere. Existing power prediction methods usually rely on fixed meteorological models or static data, which cannot reflect changes in the flight environment in real time, and therefore have certain limitations.

[0003] Therefore, it is necessary to provide a performance adaptation method for stratospheric solar communication drones. Summary of the invention

[0004] The purpose of the present invention is to provide an efficiency adaptation method applied to a stratospheric solar communication drone to solve the problem that existing power prediction methods usually rely on fixed meteorological models or static data and cannot reflect changes in the flight environment in real time.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A performance adaptation method for a stratospheric solar communication UAV, comprising: S1. Establish and update solar radiation intensity database Collect stratospheric solar radiation intensity data through satellite communications and drone sensors, and establish and update a database of stratospheric solar radiation intensity; S2, forming a geographical information map of solar radiation intensity The database established in step S1 is combined with the navigation system of the UAV to form a geographic information map of the stratospheric solar radiation intensity; S3, the drone flies according to the planned route According to the geographic information map and the flight area in step S2, the database plans the navigation route of the drone, and the drone navigates according to the planned route; S4, real-time collection of solar radiation intensity data During the flight, the drone collects real-time data on the intensity of solar radiation in the stratosphere and transmits it to the database; S5, setting thresholds and updating data A certain threshold is set in advance for updating the database, the difference between the collected data and the pre-stored data is compared with the threshold, and whether to update the database is determined based on the comparison result; S6, optimize and adjust the flight status of the drone Through the updated database, the power consumed by the drone during flight and the power replenished by the solar cells can be predicted, the current power status of the drone can be determined, and the flight path, posture and power management of the drone can be optimized and adjusted in real time.

[0006] Furthermore, in step S1: the database adopts a distributed architecture so that all data is transmitted through a secure communication protocol.

[0007] Furthermore, in step S5: if the difference between the collected data and the pre-stored data exceeds the threshold, the database will request the satellite communication or drone sensor to re-collect the solar radiation intensity data for the same area, and correct the collected data through a specific algorithm, and then perform weighted averaging; if the difference between the collected data and the pre-stored data still exceeds the threshold, the pre-stored data in the database will be updated to the collected data.

[0008] The present invention has the following beneficial effects: 1. The present invention establishes a global stratospheric solar radiation intensity database through satellite communications or drone sensors and other equipment, and combines the sensor data of communication drones to form a solar radiation intensity geographic information map.

[0009] 2. The present invention collects data such as solar radiation intensity in the stratospheric environment in real time to update the stratospheric solar radiation intensity database in real time. The database optimizes and adjusts the flight path, posture, and power management of the UAV within the scope specified by the flight mission based on the geographic information map to improve the UAV's endurance in the stratosphere and ensure that the UAV can complete the flight mission. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A flow chart of a performance adaptation method for a stratospheric solar communication UAV provided in an embodiment of the present invention; Figure 2 A flowchart for establishing a database provided by an embodiment of the present invention; Figure 3 A flowchart of database update provided by an embodiment of the present invention; Figure 4 A flowchart of the drone control provided by an embodiment of the present invention; Figure 5 A schematic diagram of an application scenario provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0012] The present invention provides an efficiency adaptation method for stratospheric solar communication drones. The method aims to optimize the flight path, attitude and power management strategy of communication drones through a real-time updated stratospheric solar radiation intensity database, improve the energy utilization rate and efficiency adaptation capability of communication drones, and enhance the ability of solar communication drones to continue flying in the stratosphere.

[0013] Reference Figure 1-Figure 5 The performance adaptation method for a stratospheric solar communication drone provided in an embodiment of the present invention includes: S1. Establish and update solar radiation intensity database The stratospheric solar radiation intensity data collected by satellite communications and drone sensors are imported into the database, and the stratospheric solar radiation intensity data from all over the world are regularly updated to establish a global stratospheric solar radiation intensity database. The database adopts a distributed architecture, so that all data is transmitted through a secure communication protocol to ensure data security and transmission rate. In addition, the database not only contains historical data, but can also be dynamically updated based on data from sensors, etc., to improve the accuracy and timeliness of the data.

[0014] S2, forming a geographical information map of solar radiation intensity The database established in step S1 is used through a specific geographic information recording technology and combined with the navigation system of the UAV to summarize and manage the data of the stratospheric solar radiation intensity in various regions and form a stratospheric solar radiation intensity geographic information map.

[0015] S3, the drone flies according to the planned route According to the geographic information map in step S2 and the area specified by the flight mission, a route with optimal power management is planned for the drone and transmitted to the drone. The drone navigates according to the planned route.

[0016] S4, real-time collection of solar radiation intensity data During the voyage, the light sensors on the solar communication drones are used to collect data such as the intensity of solar radiation in the stratosphere in real time and transmit them to the database.

[0017] S5, setting thresholds and updating data A certain threshold is pre-set for updating the database, the difference between the collected data and the pre-stored data is compared with the threshold, and whether to update the database is determined based on the comparison result.

[0018] Specifically, if the difference between the collected data and the pre-stored data exceeds the threshold, the database will request satellite communications or drone sensors and other equipment to re-collect solar radiation intensity data for the same area, and correct the collected data through a specific algorithm before performing a weighted average. If the difference between the collected data and the pre-stored data still exceeds the threshold, the pre-stored data in the database will be updated to the collected data to ensure data accuracy and avoid the impact on the database due to measurement deviation.

[0019] S6, optimize and adjust the flight status of the drone Through the updated database, the power consumed by the drone during flight and the power replenished by the solar cells are predicted, the current power status of the drone is determined, and the flight path, posture and power management of the solar communication drone are optimized and adjusted in real time within the scope of the flight mission. This will improve the endurance of the communication drone in the stratosphere and ensure the stability of the drone's power throughout the flight.

[0020] The efficiency adaptation method for stratospheric solar communication drones in the present invention establishes a global stratospheric solar radiation intensity database through satellite communication or drone sensors and other equipment, and forms a solar radiation intensity geographic information map in combination with the sensor data of the communication drone. The stratospheric solar radiation intensity database is updated in real time through real-time collection of data such as solar radiation intensity in the stratospheric environment. The database optimizes and adjusts the flight path, attitude, and power management of the drone within the range specified by the flight mission based on the geographic information map to improve the drone's endurance in the stratosphere and ensure that the drone can complete the flight mission.

[0021] The solar radiation intensity database in the present invention records in detail the stratospheric solar radiation intensity data on a global scale, and can be applied to measuring meteorology, assisting aircraft navigation, etc., thus improving practicality.

[0022] The embodiments described above are only descriptions of the preferred modes of the present invention, and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. A performance adaptation method for a stratospheric solar communication drone, characterized in that: include: S1, establish and update the solar radiation intensity database, Collect stratospheric solar radiation intensity data through satellite communications and drone sensors, and establish and update a database of stratospheric solar radiation intensity; S2, forming a geographical information map of solar radiation intensity, The database established in step S1 is combined with the navigation system of the UAV to form a geographic information map of the stratospheric solar radiation intensity; S3, the drone flies according to the planned route, According to the geographic information map and the flight area in step S2, the database plans the navigation route of the drone, and the drone navigates according to the planned route; S4, real-time collection of solar radiation intensity data, During the flight, the drone collects real-time data on the intensity of solar radiation in the stratosphere and transmits it to the database; S5, setting thresholds and updating data, A certain threshold is set in advance for updating the database, the difference between the collected data and the pre-stored data is compared with the threshold, and whether to update the database is determined based on the comparison result; S6, optimize and adjust the flight status of the drone, Through the updated database, the power consumed by the drone during flight and the power replenished by the solar cells can be predicted, the current power status of the drone can be determined, and the flight path, posture and power management of the drone can be optimized and adjusted in real time.

2. The performance adaptation method for a stratospheric solar communication drone according to claim 1, characterized in that: In step S1: the database adopts a distributed architecture so that all data is transmitted through a secure communication protocol.

3. The performance adaptation method for a stratospheric solar communication drone according to claim 1, characterized in that: In step S5: if the difference between the collected data and the pre-stored data exceeds the threshold, the database will request the satellite communication or drone sensor to re-collect the solar radiation intensity data for the same area, and correct the collected data through a specific algorithm, and then perform weighted averaging; if the difference between the collected data and the pre-stored data still exceeds the threshold, the pre-stored data in the database will be updated to the collected data.

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