Deck type helium airship unmanned aerial vehicle platform and control system thereof
By designing a deck-type helium airship UAV platform, integrating renewable energy power generation and aerial storage functions, the problem of lack of energy and material supply for UAV swarms during long-term, long-distance missions has been solved, realizing the continuous operation capability and safe vertical take-off and landing operation of UAV swarms.
Patent Information
- Application Number
- CN202511559288.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-29
- Publication Date
- 2025-12-16
AI Technical Summary
Existing airships are designed with limited functionality and lack specialized facilities for carrying, scheduling, and resupplying drone swarms. This makes them unable to provide continuous energy and material supplies to drone swarms, resulting in drones lacking the ability to operate continuously during long-duration, long-distance missions.
Design a deck-type helium airship UAV platform that integrates renewable energy power generation, aerial storage, and material resupply functions. It adopts a dual-airbag structure to provide static buoyancy, is equipped with a distributed propulsion unit and energy module, supports the UAV's vertical take-off and landing, charging, and material exchange, and optimizes energy management and flight modes through an intelligent control system.
It enables unobstructed take-off and landing of drone swarms from the top, supports parallel operation of multiple drones, provides continuous energy and material supplies, extends the operating radius and endurance of drone swarms, and has a stable system structure and is simple and safe to operate.
Smart Images

Figure CN121134086A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to an aircraft, and more particularly to a deck-mounted helium airship unmanned aerial vehicle platform and its control system. Background Technology
[0002] Drones are widely used across various industries. However, most drones rely on their own batteries, resulting in limited flight time, while the coverage of corresponding ground charging facilities is limited, thus restricting energy supply. Furthermore, drones cannot obtain energy and resupply mid-journey when performing long-duration, long-distance missions, lacking the ability to operate continuously.
[0003] Currently, there have been some explorations into using airships as high-altitude base stations or platforms for drones. For example, Chinese patent CN201810626016.1 discloses an integrated forest patrol and detection airship, belonging to the field of forest poaching monitoring and combat technology. This invention aims to create an integrated forest patrol and detection airship consisting of a helium-filled airship, a platform, a rope, a drone, an infrared detector, a metal detector, power supply equipment, an alarm device, a camera, and a firing device. The helium-filled airship propels the airship into the air, and various monitoring devices monitor the forest from above. The infrared detector, onboard camera, and metal detector detect poaching activity and the presence of firearms in the forest. A wireless communication device uploads the detected poaching activity and real-time video data to a PC cloud, allowing management personnel to monitor the forest area in real time. The drone provides audible and visual warnings to drive away poachers, while the airship engages in combat. This device provides an effective measure for preventing forest poaching, improving monitoring efficiency and saving significant costs compared to traditional manual monitoring.
[0004] However, in the aforementioned patents, the drone platform is suspended, and its take-off and landing are easily affected by airbag interference.
[0005] For example, US Patent Publication US20210171177A1 discloses an aircraft carrying a platform, including a platform fixed to the top of an aircraft or airship.
[0006] However, due to the limitations of the aircraft's center of gravity design, the platform area on top of the airship is limited, resulting in low space utilization.
[0007] Meanwhile, renewable energy sources such as solar and wind power can effectively supplement the energy of UAV platforms and airships, significantly extending their loiter time. For example, Chinese patent CN201510436440.6 discloses a combined stratospheric aircraft system based on a solar-powered UAV for long-term loiter time, mainly comprising an airship and a solar-powered UAV. The airship, serving as an aerial relay platform, includes the airship body, solar cell array, arresting gear, payload, internal temperature and pressure acquisition module, pressure regulating valve, and airship energy storage battery. The solar-powered UAV is the core of the entire platform, mainly composed of a structural subsystem including the airframe stabilizer, energy subsystem, avionics and flight control subsystem, propulsion subsystem, and payload subsystem. This scheme uses a large airship as the mothership and aerial energy storage station, and multiple solar-powered UAVs as mission execution platforms. The aerial support platform functions as both an aerospace carrier and an aerial refueling aircraft, thus effectively reducing the weight of the solar-powered aircraft platform while extending its continuous flight time at altitudes of 20 km and above.
[0008] Existing airships are designed with limited functionality and lack specialized facilities for carrying, scheduling, and resupplying drone swarms. They are unable to provide continuous energy and material supplies to support long-endurance, high-efficiency aerial operations for drone swarms. Summary of the Invention
[0009] To address the aforementioned shortcomings, the present invention aims to provide a deck-type helium airship unmanned aerial vehicle (UAV) platform that integrates renewable energy power generation, aerial storage, and material resupply functions, providing unobstructed take-off and landing, charging, material resupply, and operation and maintenance support for UAV swarms.
[0010] The objective of this invention is achieved through the following technical solution: a deck-type helium airship unmanned aerial vehicle platform, comprising an unmanned aerial vehicle platform, wherein it further comprises two airbags arranged in parallel on the left and right, at least two sets of distributed propulsion units and an energy module; The drone platform is fixed between two airbags, which are connected to each other by a rigid connection structure and maintain a fixed relative position. The bottom of the drone platform is equipped with a counterweight storage compartment, and the drone platform is equipped with a door connecting the counterweight storage compartment and a berth for drone take-off and landing. Each set of distributed propulsion units is symmetrically arranged on the outside of the left and right airbags; The energy module includes a battery pack, a solar power generation unit, a wind power generation unit, an energy control unit, and an energy bus. The energy control unit controls the solar power generation unit and the wind power generation unit to charge the battery pack or supply power to the energy bus. The battery pack supplies power to the energy bus, and the energy bus supplies power to the load.
[0011] This invention utilizes a dual-airbag structure to provide primary static buoyancy, with the airbag shells constructed from lightweight, high-strength composite materials. A solar power unit converts solar energy into electrical energy, and a wind power unit converts wind energy into electrical energy. A counterweight storage section supports equipment, batteries, mission equipment, and additional loads, maintaining platform balance and optimizing airflow to reduce drag. Distributed propulsion units provide propulsion power and attitude control capabilities.
[0012] Based on the above scheme, the cabin door is located in the center of the drone platform, and at least two berths are evenly distributed around the cabin door. Each berth is equipped with a locking mechanism, a charging unit, a device quick-change interface, and a data interface.
[0013] The drone platform features clearly defined and seamlessly integrated functional areas. Material handover can be conducted at the central cargo door, with drone berths evenly distributed around the door. The remaining areas are open, clean zones, optimizing weight distribution and maintaining platform balance. Each berth provides a safe, independent area for vertical takeoff and landing, supports parallel operation of multiple drones, and offers charging and rapid equipment replacement capabilities.
[0014] Furthermore, the charging unit is a wireless charger, which allows the landed drone to charge automatically.
[0015] Based on the above scheme, the power control unit includes a charging controller, a power converter, a battery management unit, and a load management unit. The solar power generation unit and the wind power generation unit charge the battery pack directly through the charging controller or supply power to the energy bus after processing by the power converter. The battery management unit is connected to the battery pack, and the load management unit is connected to the energy bus.
[0016] Furthermore, when the battery management unit and load management unit detect excess energy, the power bus supplies power to the additional load.
[0017] The battery management unit monitors the battery pack's status in real time, including state of charge, health, and temperature, and optimizes energy usage through intelligent allocation algorithms. The load management unit dynamically adjusts the operating status of each subsystem based on task priority and energy availability to ensure uninterrupted execution of critical tasks. The energy bus employs a dual-redundancy design to improve system reliability. When excess energy is detected, additional loads can be activated to consume the excess energy and maintain system balance.
[0018] Based on the above scheme, the solar power generation unit includes airbags and / or flexible photovoltaic panels laid on the surface of the drone platform.
[0019] Based on the above scheme, the distributed propulsion unit has bidirectional working capability: it acts as a propeller when working in the forward direction and as a wind turbine when working in the reverse direction. Each propulsion unit provides propulsion as a propeller when working in the forward direction and converts wind energy into electrical energy when working in the reverse direction.
[0020] Based on the above scheme, the airbag is equipped with a tail wing, and the interior is divided into multiple independent air chambers by a flexible reinforced diaphragm to ensure safety. An auxiliary airbag is provided at the bottom, which can achieve fine adjustment of buoyancy by inflating and deflating air.
[0021] Another object of the present invention is to provide a control system for the aforementioned deck-type helium airship unmanned aerial vehicle platform.
[0022] The objective of this invention is achieved through the following technical solution: a control system for a deck-type helium airship unmanned aerial vehicle (UAV) platform, comprising an intelligent control system, an energy control system, a power control system, and an UAV platform system. Intelligent control system: The navigation and positioning module provides precise location information based on navigation signal sources, monitors the airship's attitude and motion status in real time, and provides navigation data for other control modules. The wind field perception and prediction module monitors meteorological parameters such as wind speed and wind direction in real time, predicts wind field change trends, assesses wind power generation potential and flight safety conditions, and provides meteorological data for other control modules. The mode switching module switches between tailwind drift mode and position holding mode based on navigation and meteorological data. In tailwind drift mode, the airship automatically identifies suitable meteorological conditions for tailwind drift and controls the airship to drift with the wind to the target position at the optimal speed. In position holding mode, the airship is kept in the current position to perform drone take-off and landing operations. The boundary control module dynamically defines the working boundary of the airship, provides layered warnings based on navigation data, meteorological data, and the distance of the airship relative to the working area boundary, selects in advance whether to trigger the return procedure to prevent exceeding the working area, calculates the energy-optimal return path, and smoothly executes the boundary return action; The altitude management module intelligently adjusts the flight altitude based on mission requirements and real-time weather conditions. Under normal conditions, it selects an altitude strategy that optimizes energy efficiency; when energy is sufficient, it selects the optimal working altitude; when the weather is severe, it selects a safety-first altitude strategy; and when encountering strong winds, it automatically lowers the altitude to avoid the wind, thus balancing mission requirements and energy efficiency. Energy control system: Solar power generation modules provide power through photoelectric conversion and utilize maximum power point tracking to optimize photovoltaic power generation efficiency. The wind power generation module recovers energy through the reverse working mode of the distributed propulsion unit. The wind power generation function is normally activated when the airship is in the downwind drift mode, and is selectively activated during the position correction process when it is in the position holding mode. The energy storage and management module uses high-performance battery packs to store electrical energy, monitors the power consumption and power generation status of different units in real time, adjusts the working mode of each system according to the energy status, intelligently schedules the working status of different power generation units, optimizes power distribution and load management through intelligent allocation algorithms, judges the health status of the battery pack according to the energy status, selects whether to activate the battery pack protection function, optimizes the battery charging and discharging strategy, and extends the battery life. Power control system: The helium management module controls the inflation and deflation of the auxiliary air bladder to fine-tune buoyancy and maintain long-term buoyancy stability. The distributed propulsion module controls the distributed propulsion unit to work in both directions. When working in the forward direction, it provides propulsion power for the airship, enabling attitude control, position adjustment, and maneuvering flight. When working in the reverse direction, it is used for wind power generation, meeting the corresponding power requirements according to different modes. Unmanned Aerial Vehicle Platform System: The drone management module controls the take-off and landing of drones to perform tasks. The berth management module controls the interaction between the equipment in the berth and the drone; The warehouse door management module controls the opening and closing of the warehouse door and facilitates the exchange of supplies with drones.
[0023] Based on the above scheme, the control system includes the following steps: Step 1: System initialization, including self-test and sensor calibration; Step 2: Collect environmental data, including parameters such as wind speed, wind direction, and solar radiation intensity; Step 3: Select and switch to the appropriate mode based on environmental data and task requirements; Step 4: If you select the tailwind drift mode, proceed to steps 5-7; if you select the position hold mode, proceed to steps 8-12. Tailwind Drift Mode: Step 5: Control the airship to drift with the wind at the optimal speed; Step 6: Activate wind power generation function; Step 7: Continuously monitor the airship's current position. When it approaches the boundary, trigger the return procedure in advance. When it reaches the target position, return to step 3. Position holding mode: Step 8: Activate the precise position control algorithm; Step 9: Maintain the airship at the target position; Step 10: Perform drone take-off and landing operations as needed; Step 11: Monitor system status in real time and handle abnormal situations; Step 12: Based on the task completion status or external instructions, decide whether to continue executing the task or end the task and return to Step 3.
[0024] Based on the above solution, the mode switching module includes: Condition judgment is based on the following parameters: Wind speed: when the wind speed is below the threshold, the position holding mode is selected first; when the wind speed is above the threshold, the tailwind drift mode is selected first. Energy status: when the energy is sufficient, both modes are supported; when the energy is insufficient, the more energy-efficient mode is selected first. Task requirements: the position holding mode is selected for precise location requirements, and the tailwind drift mode is selected for area monitoring. Select either the tailwind drift mode or the position hold mode based on the judgment result. Pattern monitoring evaluates the effectiveness of the current pattern in real time. When environmental conditions or task requirements change, it triggers pattern re-evaluation and re-executes condition judgment. Anomaly handling: When a system failure or emergency is detected, the system is forcibly switched to safe mode and preset safety procedures are executed.
[0025] Based on the above scheme, the wind power generation module adjusts its power generation capacity according to the airship's current altitude and the horizontal distance to the relative boundary: When the airship is close to its lowest point, it is made to rise by adjusting buoyancy and counterweight, and then use wind speed and buoyancy energy to brake and recharge. When the airship approaches its highest point, it descends by adjusting buoyancy and counterweight, using wind speed and gravitational potential energy for braking and recharging. When the airship approaches the boundary, it stops charging and triggers the return procedure ahead of schedule.
[0026] Furthermore, in position-keeping mode, the wind power generation module adjusts its ballast via a takeoff and landing drone. When the airship approaches its lowest altitude, the takeoff drone reduces the ballast, and when the airship approaches its highest altitude, the landing drone increases the ballast. This use of the takeoff and landing drone allows for more precise control of the airship's ballast.
[0027] The beneficial effects of this invention are: The platform and dual airbags are rigidly connected in an integrated structure, which is structurally stable, highly wind-resistant, and easy to maintain. The deck-type design provides the drones with a completely unobstructed vertical take-off and landing interface, just like on the ground, making operation simple and safe. It can be used as an "airborne home port" for cluster operation and maintenance, realizing fully automated management of the drone reception, deployment, charging, and data interaction. The control system with wind drift, intelligent boundary control, and wind-solar complementary renewable energy achieves complete energy self-sufficiency, greatly expanding the operating radius and endurance of the drone swarm. Attached Figure Description
[0028] Figure 1 A three-dimensional schematic diagram of the structure of the present invention; Figure 2 A schematic front view of the structure of this invention; Figure 3 A schematic top view of the structure of this invention; Figure 4 A schematic diagram of the energy control system of this invention; Figure 5 The control system flowchart of this invention; Figure 6 The mode switching logic diagram of this invention; Figure 7 Schematic diagram of the wind power generation module of this invention; Explanation of the labels in the diagram: 110 — Unmanned Aerial Vehicle (UAV) Platform; 111 – Warehouse door; 112 – Berth; 113—Counterweight Storage Department; 120 - Airbag; 121 – Tail fin; 122 – Flexible reinforced diaphragm; 130 — Distributed Propulsion Unit; 140 – Energy Module; 141 – Battery pack; 142 – Solar power generation unit; 143 – Wind power generation unit; 144 – Charging controller; 145 – Power converter; 146 – Battery management unit; 147 – Load Management Unit; 148 – Power Bus; 149 — Additional load. Detailed Implementation
[0029] like Figure 1-4 As shown, a deck-type helium airship unmanned aerial vehicle platform includes an unmanned aerial vehicle platform 110, which also includes two airbags 120 arranged in parallel on the left and right, an energy module 140, and two sets of distributed propulsion units 140. The drone platform 110 is fixed between two airbags 120. The airbags 120 are equipped with tail fins 121 and are divided into multiple independent air chambers by flexible reinforcing diaphragms 122. An auxiliary airbag is provided at the bottom. The two airbags 120 are connected to each other by a rigid connection structure and maintain a fixed relative position. The drone platform 110 is equipped with a counterweight storage section 113 at the bottom. The drone platform 110 is equipped with a door 111 that connects to the counterweight storage section 113 and a berth 112 for drone take-off and landing. The door 111 is located in the center of the drone platform 110. Eight berths 112 are evenly distributed around the door 111. Each berth 112 is equipped with a locking mechanism, a wireless charger, a device quick-change interface, and a data interface. Each set of distributed propulsion units 130 is symmetrically arranged on the outside of the left and right airbags 120. The distributed propulsion unit 130 has bidirectional working capability. When working in the forward direction, it is a propeller, and when working in the reverse direction, it is a wind turbine. The energy module 140 includes a battery pack 141, a solar power generation unit 142, a wind power generation unit 143, a charging controller 144, a power converter 145, a battery management unit 146, a load management unit 147, and an energy bus 148. The solar power generation unit 142 includes an airbag 120 and a flexible photovoltaic panel laid on the surface of the drone platform 110. The solar power generation unit 142 and the wind power generation unit 143 charge the battery pack 141 directly through the charging controller 144 or supply power to the energy bus 148 after processing by the power converter 145. The battery management unit 146 is connected to the battery pack 141, and the battery pack 141 supplies power to the energy bus 148. The load management unit 147 is connected to the energy bus 148, and the energy bus 148 supplies power to the load. When the battery management unit 146 and the load management unit 147 detect excess energy, the energy bus 148 supplies power to the additional load 149.
[0030] like Figure 5-7 As shown, a control system for the aforementioned deck-type helium airship unmanned aerial vehicle (UAV) platform includes an intelligent control system, an energy control system, a power control system, and an UAV platform system. Intelligent control system: The navigation and positioning module provides precise location information based on navigation signal sources, monitors the airship's attitude and motion status in real time, and provides navigation data for other control modules. The wind field perception and prediction module monitors meteorological parameters such as wind speed and wind direction in real time, predicts wind field change trends, assesses wind power generation potential and flight safety conditions, and provides meteorological data for other control modules. The mode switching module switches between tailwind drift mode and position holding mode based on navigation and meteorological data. In tailwind drift mode, the airship automatically identifies suitable meteorological conditions for tailwind drift and controls the airship to drift with the wind to the target position at the optimal speed. In position holding mode, the airship is kept in the current position to perform drone take-off and landing operations. The boundary control module dynamically defines the working boundary of the airship, provides layered warnings based on navigation data, meteorological data, and the distance of the airship relative to the working area boundary, selects in advance whether to trigger the return procedure to prevent exceeding the working area, calculates the energy-optimal return path, and smoothly executes the boundary return action; The altitude management module intelligently adjusts the flight altitude based on mission requirements and real-time weather conditions. Under normal conditions, it selects an altitude strategy that optimizes energy efficiency; when energy is sufficient, it selects the optimal working altitude; when the weather is severe, it selects a safety-first altitude strategy; and when encountering strong winds, it automatically lowers the altitude to avoid the wind, thus balancing mission requirements and energy efficiency. Energy control system: Solar power generation modules provide power through photoelectric conversion and utilize maximum power point tracking to optimize photovoltaic power generation efficiency. The wind power generation module recovers energy through the reverse working mode of the distributed propulsion unit. The wind power generation function is normally activated when the airship is in the downwind drift mode, and is selectively activated during the position correction process when it is in the position holding mode. The energy storage and management module uses high-performance battery packs to store electrical energy, monitors the power consumption and power generation status of different units in real time, adjusts the working mode of each system according to the energy status, intelligently schedules the working status of different power generation units, optimizes power distribution and load management through intelligent allocation algorithms, judges the health status of the battery pack according to the energy status, selects whether to activate the battery pack protection function, optimizes the battery charging and discharging strategy, and extends the battery life. Power control system: The helium management module controls the inflation and deflation of the auxiliary air bladder to fine-tune buoyancy and maintain long-term buoyancy stability. The distributed propulsion module controls the distributed propulsion unit to work in both directions. When working in the forward direction, it provides propulsion power for the airship, enabling attitude control, position adjustment, and maneuvering flight. When working in the reverse direction, it is used for wind power generation, meeting the corresponding power requirements according to different modes. Unmanned Aerial Vehicle Platform System: The drone management module controls the take-off and landing of drones to perform tasks. The berth management module controls the interaction between the equipment in the berth and the drone; The warehouse door management module controls the opening and closing of the warehouse door and facilitates the exchange of supplies with drones.
[0031] Based on the above scheme, the control system includes the following steps: Step 1: System initialization, including self-test and sensor calibration; Step 2: Collect environmental data, including parameters such as wind speed, wind direction, and solar radiation intensity; Step 3: Select and switch to the appropriate mode based on environmental data and task requirements; Step 4: If you select the tailwind drift mode, proceed to steps 5-7; if you select the position hold mode, proceed to steps 8-12. Tailwind Drift Mode: Step 5: Control the airship to drift with the wind at the optimal speed; Step 6: Activate wind power generation function; Step 7: Continuously monitor the airship's current position. When it approaches the boundary, trigger the return procedure in advance. When it reaches the target position, return to step 3. Position holding mode: Step 8: Activate the precise position control algorithm; Step 9: Maintain the airship at the target position; Step 10: Perform drone take-off and landing operations as needed; Step 11: Monitor system status in real time and handle abnormal situations; Step 12: Based on the task completion status or external instructions, decide whether to continue executing the task or end the task and return to Step 3.
[0032] Based on the above solution, the mode switching module includes: Condition judgment is based on the following parameters: Wind speed: when the wind speed is below the threshold, the position holding mode is selected first; when the wind speed is above the threshold, the tailwind drift mode is selected first. Energy status: when the energy is sufficient, both modes are supported; when the energy is insufficient, the more energy-efficient mode is selected first. Task requirements: the position holding mode is selected for precise location requirements, and the tailwind drift mode is selected for area monitoring. Select either the tailwind drift mode or the position hold mode based on the judgment result. Pattern monitoring evaluates the effectiveness of the current pattern in real time. When environmental conditions or task requirements change, it triggers pattern re-evaluation and re-executes condition judgment. Anomaly handling: When a system failure or emergency is detected, the system is forcibly switched to safe mode and preset safety procedures are executed.
[0033] Based on the above scheme, the wind power generation module adjusts its power generation capacity according to the airship's current altitude and the horizontal distance to the relative boundary: When the airship is close to its lowest point, it is made to rise by adjusting buoyancy and counterweight, and then use wind speed and buoyancy energy to brake and recharge. When the airship approaches its highest point, it descends by adjusting buoyancy and counterweight, using wind speed and gravitational potential energy for braking and recharging. When the airship approaches the boundary, it stops charging and triggers the return procedure ahead of schedule.
[0034] Furthermore, in position-keeping mode, the wind power generation module adjusts its ballast via a takeoff and landing drone. When the airship approaches its lowest altitude, the takeoff drone reduces the ballast, and when the airship approaches its highest altitude, the landing drone increases the ballast. This use of the takeoff and landing drone allows for more precise control of the airship's ballast.
Claims
1. A deck-mounted helium airship unmanned aerial vehicle (UAV) platform, comprising an UAV platform, characterized in that: It also includes two airbags arranged in parallel on the left and right, at least two sets of distributed propulsion units, and an energy module; The drone platform is fixed between two airbags, which are connected to each other by a rigid connection structure and maintain a fixed relative position. The bottom of the drone platform is equipped with a counterweight storage compartment, and the drone platform is equipped with a door connecting the counterweight storage compartment and a berth for drone take-off and landing. Each set of distributed propulsion units is symmetrically arranged on the outside of the left and right airbags; The energy module includes a battery pack, a solar power generation unit, a wind power generation unit, an energy control unit, and an energy bus. The energy control unit controls the solar power generation unit and the wind power generation unit to charge the battery pack or supply power to the energy bus. The battery pack supplies power to the energy bus, and the energy bus supplies power to the load.
2. The deck-type helium airship unmanned aerial vehicle platform according to claim 1, characterized in that: The aforementioned hatch is located in the center of the drone platform, and at least two berths are evenly distributed around the hatch. Each berth is equipped with a locking mechanism, a charging unit, a device quick-change interface, and a data interface.
3. The deck-mounted helium airship unmanned aerial vehicle platform according to claim 2, characterized in that: The charging unit is a wireless charger.
4. The deck-mounted helium airship unmanned aerial vehicle platform according to claim 1, characterized in that: The power control unit includes a charging controller, a power converter, a battery management unit, and a load management unit. The solar power generation unit and the wind power generation unit charge the battery pack directly through the charging controller or supply power to the energy bus after processing by the power converter. The battery management unit is connected to the battery pack, and the load management unit is connected to the energy bus.
5. The deck-type helium airship unmanned aerial vehicle platform according to claim 4, characterized in that: When the battery management unit and load management unit detect excess energy, the power bus supplies power to the additional load.
6. The deck-type helium airship unmanned aerial vehicle platform according to claim 1, characterized in that: The solar power generation unit includes airbags and / or flexible photovoltaic panels laid on the surface of the drone platform.
7. The deck-type helium airship unmanned aerial vehicle platform according to claim 1, characterized in that: The distributed propulsion unit has bidirectional working capability; it functions as a propeller when working in the forward direction and as a wind turbine when working in the reverse direction.
8. The deck-type helium airship unmanned aerial vehicle platform according to claim 1, characterized in that: The airbag is equipped with a tail fin, and its interior is divided into multiple independent air chambers by a flexible reinforced diaphragm. An auxiliary airbag is located at the bottom.
9. A control system for a deck-mounted helium airship unmanned aerial vehicle platform according to any one of claims 1 to 8, characterized in that: This includes intelligent control systems, energy control systems, power control systems, and unmanned aerial vehicle (UAV) platform systems. Intelligent control system: The navigation and positioning module provides precise location information based on navigation signal sources, monitors the airship's attitude and motion status in real time, and provides navigation data for other control modules. The wind field perception and prediction module monitors meteorological parameters such as wind speed and wind direction in real time, predicts wind field change trends, assesses wind power generation potential and flight safety conditions, and provides meteorological data for other control modules. The mode switching module switches between tailwind drift mode and position holding mode based on navigation and meteorological data. In tailwind drift mode, the airship automatically identifies suitable meteorological conditions for tailwind drift and controls the airship to drift with the wind to the target position at the optimal speed. In position holding mode, the airship is kept in the current position to perform drone take-off and landing operations. The boundary control module dynamically defines the working boundary of the airship, provides layered warnings based on navigation data, meteorological data, and the distance of the airship relative to the working area boundary, selects in advance whether to trigger the return procedure to prevent exceeding the working area, calculates the energy-optimal return path, and smoothly executes the boundary return action; The altitude management module intelligently adjusts the flight altitude based on mission requirements and real-time weather conditions. Under normal conditions, it selects an altitude strategy that optimizes energy efficiency; when energy is sufficient, it selects the optimal working altitude; when the weather is severe, it selects a safety-first altitude strategy; and when encountering strong winds, it automatically lowers the altitude to avoid the wind, thus balancing mission requirements and energy efficiency. Energy control system: Solar power generation modules provide power through photoelectric conversion and utilize maximum power point tracking to optimize photovoltaic power generation efficiency. The wind power generation module recovers energy through the reverse working mode of the distributed propulsion unit. The wind power generation function is normally activated when the airship is in the downwind drift mode, and is selectively activated during the position correction process when it is in the position holding mode. The energy storage and management module uses high-performance battery packs to store electrical energy, monitors the power consumption and power generation status of different units in real time, adjusts the working mode of each system according to the energy status, intelligently schedules the working status of different power generation units, optimizes power distribution and load management through intelligent allocation algorithms, judges the health status of the battery pack according to the energy status, selects whether to activate the battery pack protection function, optimizes the battery charging and discharging strategy, and extends the battery life. Power control system: The helium management module controls the inflation and deflation of the auxiliary air bladder to fine-tune buoyancy and maintain long-term buoyancy stability. The distributed propulsion module controls the distributed propulsion unit to work in both directions. When working in the forward direction, it provides propulsion power for the airship, enabling attitude control, position adjustment, and maneuvering flight. When working in the reverse direction, it is used for wind power generation, meeting the corresponding power requirements according to different modes. Unmanned Aerial Vehicle Platform System: The drone management module controls the take-off and landing of drones to perform tasks. The berth management module controls the interaction between the equipment in the berth and the drone; The warehouse door management module controls the opening and closing of the warehouse door and facilitates the exchange of supplies with drones.
10. The control system according to claim 9, characterized in that: The control system includes the following steps: Step 1: System initialization, including self-test and sensor calibration; Step 2: Collect environmental data, including parameters such as wind speed, wind direction, and solar radiation intensity; Step 3: Select and switch to the appropriate mode based on environmental data and task requirements; Step 4: If you select the tailwind drift mode, proceed to steps 5-7; if you select the position hold mode, proceed to steps 8-12. Tailwind Drift Mode: Step 5: Control the airship to drift with the wind at the optimal speed; Step 6: Activate wind power generation function; Step 7: Continuously monitor the airship's current position. When it approaches the boundary, trigger the return procedure in advance. When it reaches the target position, return to step 3. Position holding mode: Step 8: Activate the precise position control algorithm; Step 9: Maintain the airship at the target position; Step 10: Perform drone take-off and landing operations as needed; Step 11: Monitor system status in real time and handle abnormal situations; Step 12: Based on the task completion status or external instructions, decide whether to continue executing the task or end the task and return to Step 3.
11. The control system according to claim 9, characterized in that: The mode switching module includes: Condition judgment is based on the following parameters: wind speed: when the wind speed is below the threshold, the position holding mode is selected first; when the wind speed is above the threshold, the tailwind drift mode is selected first. energy status: when the energy is sufficient, both modes are supported; when the energy is insufficient, the more energy-efficient mode is selected first. task requirements: for precise location requirements, the position holding mode is selected; for area monitoring, the tailwind drift mode is selected. Select either the tailwind drift mode or the position hold mode based on the judgment result. Pattern monitoring evaluates the effectiveness of the current pattern in real time. When environmental conditions or task requirements change, it triggers pattern re-evaluation and re-executes condition judgment. Anomaly handling: When a system failure or emergency is detected, the system is forcibly switched to safe mode and preset safety procedures are executed.
12. The control system according to claim 9, characterized in that: The wind power generation module adjusts its power generation capacity based on the airship's current altitude and the horizontal distance to the relative boundary. When the airship is close to its lowest point, it is made to rise by adjusting buoyancy and counterweight, and then use wind speed and buoyancy energy to brake and recharge. When the airship approaches its highest point, it descends by adjusting buoyancy and counterweight, using wind speed and gravitational potential energy for braking and recharging. When the airship approaches the boundary, it stops charging and triggers the return procedure ahead of schedule.
13. The control system according to claim 12, characterized in that: In position-keeping mode, the wind power generation module adjusts its ballast by taking off and landing drones. When the airship's altitude approaches a low point, the take-off drone reduces the ballast, and when the airship's altitude approaches a high point, the landing drone increases the ballast.
Citation Information
Patent Citations
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