Unmanned aerial vehicle power supply system based on electric quantity use prediction function

By introducing power usage prediction function and real-time monitoring system into the drone power supply system, the problem of missing connection caused by low power of the drone is solved, and safe landing and normal use are achieved.

CN120135528APending Publication Date: 2025-06-13ARMY ENG UNIV OF PLA
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Patent Information

Application Number
CN202510491431.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-18
Publication Date
2025-06-13

AI Technical Summary

Technical Problem

The existing drone power supply system cannot land the drone according to actual conditions, resulting in too low battery power, which can easily lead to the drone being lost and affecting normal use.

Method used

A drone power supply system based on the power usage prediction function is designed, including a detection system, a display device, a processing system and a control system. The detection system detects the power in real time and warns. When the power is reduced to 20%, the processing system predicts the return route and distributes the power, and the control system confirms and implements the landing plan.

Benefits of technology

Real-time monitoring and management of power is achieved based on the flight conditions of the drone, preventing too low power, ensuring safe landing of the drone, avoiding loss of contact, and improving the normal use rate of the drone.

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Patent Text Reader

Abstract

The invention discloses an unmanned aerial vehicle power supply system based on an electric quantity use prediction function. The unmanned aerial vehicle power supply system comprises a detection system, a display device, a processing system and a control system, the detection system detects the electric quantity of the power supply in real time, detects the power consumption condition of the unmanned aerial vehicle and transmits data to the interior of the display device, and the electric quantity of the unmanned aerial vehicle is displayed through the display device; the processing system is used after the electric quantity of the unmanned aerial vehicle is reduced to 20%. The system is powered by an unmanned aerial vehicle power supply based on an electric quantity use prediction function, an infrared detection system and a route planning system are arranged, the route planning system plans the shortest route of recall flight of the unmanned aerial vehicle through the electric quantity of the unmanned aerial vehicle, and meanwhile the infrared detection system detects the open position of a flight area of the unmanned aerial vehicle. And when the electric quantity of the unmanned aerial vehicle cannot return to the recall point, the unmanned aerial vehicle lands in an open area detected by the infrared detection system, so that the unmanned aerial vehicle can be conveniently searched subsequently.
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Description

Technical Field

[0001] The present invention relates to the technical field of power supply systems, and particularly to an unmanned aerial vehicle power supply system based on a power consumption prediction function. Background Technique

[0002] An unmanned aerial vehicle (UAV) is an unpiloted aircraft. A UAV is an aircraft without a pilot that is controlled by a radio remote control device and a self - contained program control device, or is operated completely or intermittently autonomously by an on - board computer. UAVs are often more suitable for dangerous tasks. At the same time, according to the application field, UAVs can be divided into military and civilian types. In the military aspect, UAVs are divided into reconnaissance aircraft and target drones. In the civilian aspect, their applications in fields such as aerial photography, agriculture, plant protection, micro - self - shooting, express delivery, disaster relief, observing wild animals, monitoring infectious diseases, mapping, and news reporting have greatly expanded the uses of UAVs themselves. When using a UAV, the prediction function can help users better plan flight tasks, make preparations such as charging or replacing the battery in advance, and ensure flight safety and the successful completion of tasks. At the same time, the power consumption prediction function can collect various parameters during the flight of the UAV, such as flight speed, altitude, and load. By using methods such as machine learning and statistics to establish a power consumption model, according to the current flight state and the model, the remaining power usage and remaining flight time can be detected in real - time. However, the existing UAV power supply systems cannot actually detect the UAV power supply according to the flight situation of the UAV, cannot land the UAV according to the actual situation, easily lead to too low battery power, resulting in the loss of contact of the UAV, and easily affect the normal use of the UAV. Summary of the Invention

[0003] The purpose of the present invention is to provide an unmanned aerial vehicle power supply system based on a power consumption prediction function, so as to solve the problem proposed in the above - mentioned background technique that the UAV cannot be landed according to the actual situation, easily leads to too low battery power, resulting in the loss of contact of the UAV, and easily affects the normal use of the UAV.

[0004] To achieve the above - mentioned purpose, the present invention provides the following technical solution: An unmanned aerial vehicle power supply system based on a power consumption prediction function, including a detection system, a display device, a processing system, and a control system; The detection system real - time detects the power of the power supply, and at the same time detects the power consumption situation of the UAV, and transmits the data to the inside of the display device. The display device displays the UAV power. When the detection system detects that the UAV power drops to 20%, a warning is given; The display device displays the data generated by the detection system, the processing system, and the control system, and regulates the UAV; When the power of the drone drops to 20%, the processing system predicts the return route of the drone, and at the same time allocates and manages the electric energy of the drone to reduce the power consumption of the drone. When the detection system detects that the power of the drone drops to 20%, the control system controls the processing system to confirm the method and command for the return route and power distribution, and the processing system implements the processing method.

[0005] Preferably, the detection system includes: a monitoring module, a power supply module, a prediction module, and a power supply warning system. Monitoring module: Detect the power status inside the power supply module and the power consumption of the drone, and detect the power of the power supply module in real time. Power supply module: Provide the power source for the drone. Prediction module: Predict the usage time of the drone according to the power supply of the drone. Power supply warning system: The monitoring module detects the power in real time. When the power reaches a certain value, the monitoring module transmits the data to the inside of the power supply warning system, and the information is transmitted to the inside of the display device through the power supply warning system.

[0006] Preferably, the monitoring module transmits the power detected by the power supply module to the inside of the display device, and the power supply is displayed in real time through the display device. When the monitoring module detects that the power drops to 20%, the monitoring module transmits a signal to the power supply warning system, and at the same time the power supply warning system transmits the signal to the display device for warning.

[0007] Preferably, the processing system includes: an infrared detection system, a route planning system, a power management system, and a method confirmation system. Infrared detection system: Detect the environment where the drone is located in real time. Route planning system: Plan the nearest route for the drone to return (the same below) through the GPS system and the remaining power of the drone. Power management system: Plan the electric energy of the drone. Method confirmation system: Confirm the electric energy when the drone is turned off and the return route of the drone.

[0008] Preferably, the infrared detection system detects the open space where the drone returns. When the power of the drone is not enough to persist in the return journey, the route planning system and the infrared detection system cooperate to make the drone land in the open space.

[0009] Preferably, the route planning system plans the flight route of the drone based on the battery power of the drone. The power management system detects the parts that consume more power, and transmits the information to the method confirmation system through the route planning system and the power management system. The method confirmation system transmits the information to the display device, and the method of the method confirmation system is confirmed and modified through the display device.

[0010] Preferably, after the user completes the confirmation of the method of the method confirmation system, the method confirmation system transmits the data to the control system, and the control system implements the command.

[0011] Compared with the prior art, the beneficial effects of the present invention are: the drone power supply system based on the power consumption prediction function: 1. An infrared detection system and a route planning system are provided. The route planning system plans the shortest route for the drone to recall flight based on the battery power of the drone. At the same time, the infrared detection system detects the open positions in the flight area of the drone. When the battery power of the drone cannot return to the recall point, the drone lands in the open area detected by the infrared detection system, which is convenient for subsequent search for the drone; 2. A detection system is provided, which can monitor the power supply of the drone in real time. At the same time, the prediction module predicts the subsequent usage duration of the drone according to the power consumption of the monitoring module, controls the power of the power supply, prevents the power module of the drone from having a low power, and at the same time, when the power of the power supply is low, notifies the user through the power warning system and recalls the drone. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a schematic structural diagram of the composition of the present invention; Figure 2 It is a schematic flow chart of the present invention; Figure 3 It is a schematic diagram of the structure included in the detection system of the present invention; Figure 4 It is a schematic diagram of the structure included in the processing system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0013] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. 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] Please refer to Figures 1-4 , the present invention provides a technical solution: a drone power supply system based on the power consumption prediction function, including a detection system, a display device, a processing system and a control system; The detection system detects the power of the power supply in real time, and at the same time detects the power consumption of the drone, and transmits the data to the inside of the display device. The display device displays the power of the drone. When the detection system detects that the power of the drone drops to 20%, a warning is issued; The display device displays the data generated by the detection system, the processing system and the control system, and controls the drone; When the power of the drone drops to 20%, the processing system predicts the return route of the drone, and at the same time distributes and manages the electric energy of the drone to reduce the power consumption of the drone; The control system, when the detection system detects that the power of the drone drops to 20%, controls the processing system to confirm the method and command of the return route and power distribution, and implements the processing method through the processing system; Inside the detection system, the monitoring module first detects the power in the power module and transmits the power to the display device for real-time display of the power. At the same time, the detection system can detect the power consumption of the drone and transmit the detection data to the prediction module. The prediction module predicts the next flight time of the drone according to the power consumption of the power supply, and stipulates the power required for the drone to return. At the same time, the prediction module transmits the predicted information to the display device to notify the user. At this time, when the monitoring module detects that the power of the power module decreases to the power required for the return journey, the monitoring module transmits a warning to the power warning system, and the power warning system transmits the data to the display device to notify the user and remind the user of the drone's return journey; The power warning system transmits a warning to the inside of the processing system. Through the processing system, the infrared detection system is controlled to be turned on. At this time, the infrared detection system can scan and detect the route passed by the drone, identify the open spaces on the route, and the infrared detection system transmits the data to the display device. At the same time, the position where the user can make an emergency landing, and at the same time, the route planning system searches for the return route according to the remaining power of the drone to find the shortest distance. After the planning is completed, the route planning system transmits the data to the surface of the display device to inform the return route of the drone; At the same time, the power management system can detect the applications that consume power of the drone, check the applications that can be turned off, and the power management system transmits the data to the display device. The method confirmation system confirms, modifies and turns off the applications that need to be turned off, and the display device transmits the data to the control system. The control system controls the drone. In the case of low power, the drone can be forced to land in the open area detected by the infrared detection system.

[0015] The detection system includes: a monitoring module, a power module, a prediction module and a power warning system; Monitoring module: Detect the power status inside the power module and the power consumption of the drone, and detect the power of the power module in real time; Power module: Provide the power source for the drone; Prediction module: Predict the usage time of the drone based on the power of the drone; Power warning system: The monitoring module detects the power in real time. When the power reaches a certain value, the monitoring module transmits the data to the inside of the power warning system, and the information is sent to the inside of the display device through the power warning system; The detection system can detect the situation inside the drone, detect and control the power of the drone in real time, and at the same time, when the power is low, it can inform the user through the power warning system.

[0016] The monitoring module transmits the power detected by the power module to the inside of the display device, and the power is displayed in real time through the display device. When the monitoring module detects that the power drops to 20%, the monitoring module transmits a signal to the power warning system, and at the same time, the power warning system transmits the signal to the display device for warning; The monitoring module monitors the power of the power module in real time and transmits the data in real time. When the power is low, the monitoring module can transmit the information to the power warning system, and the user is warned and notified through the power warning system.

[0017] The processing system includes: an infrared detection system, a route planning system, a power management system, and a method confirmation system; Infrared detection system: Detect the environment where the drone is located in real time; Route planning system: Plan the nearest route for the drone to return (the same below) through the GPS system and the remaining power of the drone; Power management system: Plan the electric energy of the drone; Method confirmation system: Confirm the electric energy when the drone is turned off and the return route of the drone; When the power of the drone drops to the power warning system, the processing system can plan the subsequent flight of the drone through the processing system, and the drone can be used to a greater extent.

[0018] The infrared detection system detects the open space for the drone to return. When the power of the drone is not enough to persist in returning, the route planning system and the infrared detection system cooperate to make the drone land in the open space; The infrared detection system can make the drone crash land in the open space, which is convenient for subsequent search for the drone.

[0019] The route planning system plans the flight route of the drone based on the battery power of the drone. The power management system detects the parts that consume more power, and transmits the information to the method confirmation system through the route planning system and the power management system. The method confirmation system transmits the information to the display device, and the method of the method confirmation system is confirmed and modified through the display device; The route planning system predicts the return route based on the battery power, which can improve the safety of the drone.

[0020] After the user completes the confirmation of the method of the method confirmation system, the method confirmation system transmits the data to the control system, and the control system implements the command; The control system can execute the command in real time, turn off power-consuming applications, and improve the practicality of the drone.

[0021] Working principle: When using the power supply system of the drone with the function of predicting power consumption, an infrared detection system and a route planning system are set up to facilitate the detection of the landing location of the drone, increasing the overall practicality.

[0022] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A power supply system for an unmanned aerial vehicle based on a power usage prediction function, characterized in that: It includes detection system, display device, processing system and control system; The detection system detects the power of the power supply in real time, detects the power consumption of the drone, and transmits the data to the display device, which displays the power of the drone. When the detection system detects that the power of the drone is reduced to 20%, an early warning is issued; The display device displays the data generated by the detection system, the processing system and the control system, and controls the drone; When the power of the drone is reduced to 20%, the processing system predicts the return route of the drone and distributes and manages the power of the drone to reduce the power consumption of the drone. The control system, when the detection system detects that the power of the drone is reduced to 20%, the control processing system confirms the method and command of the return route and power distribution, and implements the processing method through the processing system.

2. The power supply system for unmanned aerial vehicle based on power usage prediction function according to claim 1, characterized in that: The detection system includes: a monitoring module, a power module, a prediction module and a power early warning system; Monitoring module: detects the power status inside the power module and the power consumption of the drone, and detects the power level of the power module in real time; Power module: provides power source for the drone; Prediction module: predicts the usage time of the drone based on the drone’s power supply; Power supply early warning system: The monitoring module detects the power supply in real time. When the power supply reaches a certain value, the monitoring module transmits the data to the power supply early warning system, and the information is transmitted to the display device through the power supply early warning system.

3. The power supply system for unmanned aerial vehicle based on power usage prediction function according to claim 2 is characterized in that: The monitoring module transmits the power detected by the power module to the inside of the display device, and displays the power in real time through the display device. When the monitoring module detects that the power is reduced to 20%, the monitoring module transmits a signal to the power warning system, and the power warning system transmits a signal to the display device for warning.

4. The power supply system for unmanned aerial vehicle based on power usage prediction function according to claim 1, characterized in that: The processing system includes: an infrared detection system, a line planning system, a power management system and a method confirmation system; Infrared detection system: real-time detection of the drone’s environment; Route planning system: plans the shortest route for the return trip of the drone through the GPS system and the remaining power of the drone; Power management system: plans the power of the drone; Method confirmation system: confirm the power turned off by the drone and the return route of the drone.

5. The power supply system for unmanned aerial vehicle based on power usage prediction function according to claim 4, characterized in that: The infrared detection system detects the open space for the return trip of the drone. When the drone does not have enough power to continue the return trip, the route planning system cooperates with the infrared detection system to make the drone land in an open space.

6. The power supply system for unmanned aerial vehicle based on power usage prediction function according to claim 4, characterized in that: The route planning system plans the flight route of the drone according to the power of the drone, and the power management system detects the parts that consume more power. The route planning system and the power management system transmit information to the method confirmation system, and the method confirmation system transmits the information to the display device, and the method of the method confirmation system is confirmed and modified through the display device.

7. The power supply system for unmanned aerial vehicle based on power usage prediction function according to claim 4 is characterized in that: When the user completes the method confirmation of the method confirmation system, the method confirmation system transmits the data to the control system, and the control system implements the command.