Floating machine control system and floating machine

Abstract

This floating machine control system controls a floating machine floating in the atmosphere. The floating machine comprises: a power generation device that generates power using sunlight; a power storage device that stores the power generated by the power generation device; a floating device having a balloon that uses a gas lighter than the ground atmosphere; and a propulsion device for executing propulsion movement in the air using the power from the power storage device. The floating machine control system has a navigation control system that moves the floating machine to a destination using an airflow in the atmosphere. The navigation control system instructs an AI to derive a movement route to the destination via a series of airflows over the earth so as to obtain a route for minimizing energy consumption by including a power generation amount of the power generation device according to the duration of solar irradiation into the calculation, instructs the AI to derive information for controlling the floating device and the propulsion device for moving on the derived movement route, and controls the floating device and the propulsion device using the derived information to move the floating machine to the destination.

Description

Floating control system, floating machine

[0001] The present invention relates to a floating machine control system for a floating machine capable of floating at high altitudes and a floating machine. The present invention claims the priority of Japanese Patent Application No. 2025-016201 filed on February 3, 2025, and for designated countries where incorporation by reference is permitted, the contents described in that application are incorporated into the present application by reference.

[0002] As means of movement in the high-altitude stratosphere, techniques using conventional aircraft and balloons are known. These techniques have mainly been used for observation, communication relay, or limited transportation purposes (see Patent Document 1).

[0003] Japanese Patent Application Laid-Open No. 2020-143916

[0004] However, technologies for efficiently utilizing natural phenomena such as jet streams are limited, and their applicability has not been fully developed. Also, among conventional high-altitude means of movement, aircraft that consume a large amount of fuel are mainstream, and the large environmental load has been an issue. On the other hand, while the method using balloons enables long-term hovering, accurate movement to the destination is difficult, and it is not suitable for commercial use or logistics.

[0005] The present invention includes several means for solving at least some of the above problems, but an example is as follows: The present invention is, for example, a flotation device control system for controlling a flotation device floating in the atmosphere, wherein the flotation device includes a power generation device that generates electricity using sunlight, a power storage device that stores the electricity generated by the power generation device, a levitation device having a balloon made of a gas lighter than the ground atmosphere, and a propulsion device that performs propulsion movement in the air using the electricity from the power storage device. The floating machine control system includes a navigation control system that controls the levitation device and the propulsion device to move the floating machine to a destination using atmospheric air currents. The navigation control system instructs the AI ​​to derive a route that minimizes energy consumption by taking into account the amount of power generated by the power generation device based on the duration of sunlight exposure, and to derive information for controlling the levitation device and the propulsion device to move along the derived route. The navigation control system uses the derived information to control the levitation device and the propulsion device to move the floating machine to its destination. The navigation control system may also instruct the AI ​​to derive a route that loops by taking on air currents in order to stay within a predetermined range of the destination. The navigation control system may also acquire air current information obtained from other floating machines and use that air current information to search for the travel route. The navigation control system may acquire airflow information from other flotation devices, determined from the movement speed of those devices, and use that airflow information to search for the movement route. The buoyancy device may adjust the altitude of the flotation device by adjusting the amount of gas filled into the balloon.Another aspect of the present invention is a floating machine that floats in the atmosphere, comprising: a power generation device that generates electricity using sunlight; a power storage device that stores the electricity generated by the power generation device; a levitation device having a balloon made of a gas lighter than the ground atmosphere; a propulsion device that performs propulsion movement in the air using the electricity from the power storage device; and a navigation control system that controls the levitation device and the propulsion device to move the floating machine to a destination using air currents in the atmosphere, wherein the navigation control system instructs an AI to derive a route to reach the destination by taking advantage of air currents on Earth, including the amount of electricity generated by the power generation device based on the amount of sunlight irradiated, in order to find a route that minimizes energy consumption; instructs the AI ​​to derive information for controlling the levitation device and the propulsion device in order to move along the derived route; and uses the derived information to control the levitation device and the propulsion device to move the floating machine to its destination.

[0006] Other issues, configurations, and effects not mentioned above will be clarified by the following description of the embodiments.

[0007] This is a conceptual diagram showing a floating machine control system according to one embodiment. This is a diagram of a floating machine according to one embodiment. This is a diagram of a floating machine according to one embodiment. This is a diagram of a floating machine according to one embodiment. This is a diagram of a floating machine according to one embodiment. This is a diagram of a floating machine according to one embodiment. This is a diagram of a floating machine according to one embodiment. This is a diagram of a floating machine according to one embodiment. This is a diagram of a floating machine according to one embodiment. This is a diagram of a floating machine according to one embodiment. This is a diagram of a floating machine according to one embodiment.

[0008] A floating machine control system applying an embodiment of one aspect of the present invention will be described below with reference to the drawings. In the following embodiments, the description will be divided into multiple sections or embodiments where necessary for convenience. Unless otherwise specified, these are not unrelated, and one may be a modification, detail, or supplementary explanation of part or all of the other.

[0009] Furthermore, in the following embodiments, when referring to the number of elements, etc. (including number, numerical value, quantity, range, etc.), unless specifically stated or clearly limited in principle to a particular number, it is not limited to that particular number, and may be greater than or less than that specific number.

[0010] Furthermore, it goes without saying that in the following embodiments, the constituent elements (including elemental steps, etc.) are not necessarily essential, except in cases where they are specifically indicated or where they are clearly essential in principle.

[0011] Similarly, in the following embodiments, when referring to the shape, positional relationship, etc., of components, unless otherwise specifically stated or when it is clearly not the case in principle, it shall include those that substantially approximate or resemble such shapes, etc. The same applies to the numerical values ​​and ranges mentioned above.

[0012] Furthermore, in all the drawings used to illustrate the embodiments, the same reference numerals are generally used for identical components, and repeated explanations of them are omitted.

[0013] One embodiment of the floating aircraft control system 1, as shown in Figure 1, comprises a floating aircraft 100 and a ground station 200. The floating aircraft 100 is an aircraft capable of floating in the atmosphere and moving in three dimensions. The ground station 200 is a system that includes a computer, communicates with the floating aircraft 100, sends control signals to the floating aircraft 100, and controls the operation of the floating aircraft 100. The ground station 200 may control multiple floating aircraft 100. The floating aircraft 100 is capable of autonomous navigation.

[0014] <Description of the Floating Machine> The floating machine employs technology that efficiently utilizes the jet stream in the stratosphere and obtains propulsion from natural phenomena. Therefore, it has the following elements: a. Buoyancy control device (float device) Equipped with a high-performance airbag system that adjusts internal pressure in real time and precisely controls altitude. b. Propulsion system Equipped with a small, highly efficient propeller that enables aerial propulsion, precise position adjustment and course change. c. Energy supply system Uses solar panels and high-efficiency storage batteries in combination to enable long-term energy supply and enable long-term floating. d. Navigation control system Incorporates an AI (Artificial Intelligence) control system that analyzes weather data in real time and calculates the optimal travel route to the destination by riding the air currents. In addition, some functions of the navigation control system may be provided by a ground station, and sensor values ​​etc. may be sent to the ground station via communication, and the buoyancy control device, propulsion system etc. may be controlled using the received control signals. e. Communication system Equipped with a communication system that enables real-time communication with the ground and inter-aircraft communication. f. The vessel is equipped with devices and functions suited to various applications, including weather observation, environmental monitoring, disaster response, logistics and transportation, and communication relay. The buoyancy control and propulsion systems function as floating motion execution devices.

[0015] The components are explained in detail below. a. Buoyancy Control Device The buoyancy control device consists of the following components: ・Gas bag (balloon): The outer shell of the gas bag is made of polyethylene with a multi-layer film structure or nylon with a special coating. This outer shell contains helium gas and has the strength and flexibility to withstand external pressure changes and temperature fluctuations. It is also specially processed to withstand ultraviolet rays and extreme temperature environments. The gas inside the gas bag expands as the external pressure decreases with ascent. The outer shell is designed to expand from a deflated state or unfold from a folded state to a size that can accommodate the expanded gas. ・Helium supply system: The helium supply system consists of a high-pressure tank, an electric valve, and a piping system. This system manages the amount of helium (filling amount) to be filled into the gas bag in real time and plays a role in maintaining appropriate buoyancy. The high-pressure tank is made of a lightweight alloy with corrosion resistance, and the opening and closing of the electric valve is precisely controlled by a control device. Helium is a gas that is about seven times lighter than atmospheric air, and one cubic meter of helium can generate about 1.1 kg of buoyancy. For example, using a 10 cubic meter gas bag will provide a total buoyancy of about 11 kg, using a 100 cubic meter gas bag will provide a total buoyancy of about 110 kg, and using a 1000 cubic meter gas bag will provide a total buoyancy of about 1100 kg. The amount of buoyancy remaining after subtracting the weight of the aircraft structure, control system, battery, propulsion system, etc., is available as payload. Pressure adjustment mechanism: The pressure adjustment mechanism is a system that works in conjunction with real-time sensors to respond to changes in external atmospheric pressure. This mechanism continuously measures the difference between the external and internal pressures and adjusts the injection or release of helium to prevent excessive expansion or contraction of the gas bag. This mechanism allows the gas bag to always maintain an optimal shape and internal pressure. Furthermore, the high-pressure tank of the helium supply system does not encompass the entire volume of the gas bag (balloon), and it can also function as a pressure adjustment mechanism that allows for the supply and recovery of gas between the gas bag and the tank. In other words, when refilling the gas bag, gas is transferred from the tank to the gas bag, and conversely, when removing gas from the gas bag, the gas is drawn out of the gas bag, pressurized, and transferred to the tank.This allows the tank to be made lighter by using a low-pressure tank corresponding to the amount of gas being moved. • Internal gas distribution piping: The internal gas distribution piping is a device for evenly distributing helium gas within the gas bag. This distribution piping is made of a highly pressure-resistant, flexible material to prevent localized concentration variations of helium. It also plays a role in maintaining uniform buoyancy throughout the gas bag. • Reinforcement frame: The reinforcement frame is a lightweight, high-strength structure made of carbon fiber, such as carbon fiber or graphene-reinforced plastic, which maintains the shape of the gas bag and provides resistance to external impacts. This frame is located inside the gas bag, improving the overall stability of the buoyancy control system.

[0016] These components, working together, enable the buoyancy control system to achieve stable floating and altitude control in the stratospheric environment.

[0017] Furthermore, instead of relying solely on the gas bags mentioned above for all buoyancy, the thrust of the propellers described later may also be used. Alternatively, the system may use gas bags to ascend to a certain altitude, and then utilize a hybrid buoyancy system with propellers and lift. In addition, even if gas bags are present, buoyancy may be obtained solely from the thrust of the propellers without using their buoyancy. Alternatively, the system may be configured to obtain buoyancy solely from the thrust of the propellers without using gas bags. In particular, the weight of the helium supply system can easily become a burden in small flotation devices. Alternatively, hydrogen may be used for the helium supply system. In that case, since hydrogen is highly flammable, safety measures must be taken. The gas bags can be covered with flame-retardant materials to prevent static electricity and sparks, or the hydrogen can be dispersed into multiple small gas bags to localize the risk in case of damage.

[0018] b. Propulsion System (Propellers) The propulsion system is equipped with multiple small propellers, each driven by a highly efficient brushless motor. This system employs a drone-type structure with four propellers, and each propeller is individually controlled. The propulsion system mainly consists of the following elements: ・Brushless motors: Brushless motors are lightweight, highly efficient, and require little maintenance. Each motor has a built-in sensor that can acquire data such as rotation speed, load, and temperature in real time. This allows the AI ​​control unit to precisely adjust the thrust. ・Propellers: The propellers are designed from lightweight carbon fiber or composite materials, achieving both high strength and low weight. The blade shape is optimized for low-density air at high altitudes, providing efficient thrust. In addition, the propeller size and rotation speed are adjustable, allowing it to adapt to various altitude conditions. The aircraft features variable-pitch propellers that allow for adjustment of the propeller pitch (angle) according to altitude, a dual propeller system that can be switched depending on altitude, and a wide propeller blade design that allows for sufficient thrust even in thin air layers. • Propeller mounting mechanism: Each propeller is mounted on a movable arm, allowing for 360-degree angle adjustment. This mobility allows for flexible changes in the direction of thrust, improving aircraft stability and directional control. • Motor drive circuit: A highly efficient inverter circuit is employed to provide precise power to the brushless motor. This improves the motor's efficiency and durability.

[0019] Challenges and Solutions in High-Altitude Environments: At high altitudes, low temperature, low pressure, and low-density air significantly affect the performance of the propulsion system. To address this problem, this embodiment incorporates the following technical features. First, it employs a motor capable of operating even in low-temperature environments, and the internal lubricant maintains its viscosity even at low temperatures. Furthermore, low-temperature resistant materials are used for the motor and circuit board, and a heater is incorporated as needed to maintain a constant operating temperature. In addition, to overcome the thrust deficiency in low-density air, the propeller shape is aerodynamically optimized, and a design that can efficiently capture air is employed. The propeller rotation speed is adjusted in conjunction with the motor output, providing sufficient thrust even in low-density environments. Moreover, a highly efficient inverter circuit is used in the motor drive circuit, enabling stable operation while minimizing energy consumption.

[0020] Low-Temperature Environment Resistance: To ensure proper functioning of the motor and circuitry at high altitudes and low temperatures (below -70°C), the motor is designed to maintain an appropriate temperature by incorporating a heating mechanism inside the motor. This heating mechanism operates with the minimum energy required for motor operation and is designed to prevent friction and power supply issues even in low-temperature environments. Furthermore, the circuit board uses low-temperature resistant materials and has a structure that can withstand extreme temperature changes. This enables long-term operation and maintains stable performance at high altitudes.

[0021] c. Energy Supply System The energy supply system consists of solar panels and high-efficiency batteries located on the top of the aircraft. • Solar Panels The solar panels absorb sunlight during the day to generate electricity, using a portion immediately and storing the remainder in batteries (energy storage devices). At night or on cloudy days, power is supplied from the batteries, ensuring uninterrupted aircraft operation. • Example of Lightweight Solar Panels: Lightweight and highly flexible solar panels using perovskite solar cells are integrated into the wings, fuselage, and balloon sections of the hovercraft. • Example of Folding and Rolling Mechanisms Folding and rolling mechanisms are incorporated to optimize energy efficiency during ascent and descent. During ascent and descent, the solar panels are folded or rolled in multiple stages to minimize air resistance. Deployment is performed by motor-driven or automatic mechanisms using shape memory alloys. When deployed, they form wings, making it easier to catch airflow.

[0022] Solar cells used include CNT electrode solar cells, perovskite solar cells, organic thin-film solar cells (OPVs), CIGS solar cells, quantum dot solar cells, III-V compound solar cells, carbon-14 diamond cells, and vertical solar power poles. CNT electrode solar cells are suitable for use because they offer an excellent balance of lightness, durability, and temperature characteristics. For the purpose of weight reduction, perovskite solar cells, organic thin-film solar cells, and tandem solar cells may be used. Although expensive, III-V compound solar cells and carbon-14 diamond cells may also be used from the standpoint of durability and temperature characteristics.

[0023] d. Navigation Control System The navigation control system consists of a navigation control AI and a sensor group, enabling real-time adjustment of altitude, position, and course. The sensor group includes a barometric pressure sensor, an accelerometer, and a GPS positioning sensor, which collect atmospheric pressure, acceleration, and position information (latitude, longitude, and altitude) and transmit it to the navigation control AI. The navigation control AI analyzes this data and sets the optimal altitude and thrust. It can also respond to changes in the external environment by incorporating weather data. The navigation control AI may be directly installed inside the floating vehicle or installed at a ground station. It is also possible to use external cloud-based AI or generative AI. When the navigation control AI is installed outside the floating vehicle, it transmits control commands while communicating with the floating vehicle. This allows for flexible system design according to the environment.

[0024] To control the movement of such floating vehicles, the navigation control AI is designed to learn the following and perform appropriate control based on this learning. This technical design utilizes deep learning and reinforcement learning, which are used in AI technology, enabling advanced control in complex environments. Furthermore, when using generative AI such as OpenAI's CHAT-GPT® or Google's Gemini, a mechanism is designed to enable integrated control based on data input from sensors and feedback to the control system. The generative AI contributes to operation through the following process. In addition, when using general-purpose generative AI such as CHAT-GPT®, its range of application can be expanded by integrating it with specialized control algorithms.

[0025] First, in analyzing meteorological data, the navigation control AI learns from weather satellite and ground observation data and has the ability to predict the speed, direction, and altitude of jet streams and local currents. In this case, the generation AI can play a role in augmenting the prediction model by analyzing real-time meteorological data. In particular, it needs the ability to quickly detect turbulence and weather changes and reflect them in the movement route and altitude adjustment of the flotation device. Furthermore, in order to enable dynamic altitude adjustment, it also has the ability to learn how to operate the buoyancy control device and make real-time altitude adjustments in response to changes in external pressure and temperature.

[0026] Furthermore, in the precise control of the propulsion system, the navigation control AI learns the operation patterns of the propellers and propulsion motors, enabling accurate course correction to the destination. The generation AI generates optimization patterns based on vast amounts of operation data and proposes algorithms applicable to the actual control system. This includes complex control involving fine adjustments. In addition, in energy management, it has the capability to efficiently manage the energy supply from solar panels and batteries, enabling stable operation day and night.

[0027] In addition, in communication control and data analysis, the navigation control AI has the capability to manage communication between the floating vehicle and the ground station and to send and receive data in real time. Particularly important is the flow of outputting control commands as feedback through inference by the generative AI from sensor data input. Specifically, data such as atmospheric pressure, temperature, and wind speed acquired by sensors are provided to the generative AI, which analyzes this data to calculate optimal control commands such as altitude adjustment and propulsion output adjustment. These commands are transmitted to the floating vehicle's control unit and reflected in real time. The generative AI also contributes to error correction of communication data and selection of the optimal communication route, assisting in maintaining communication stability. It is trained to select the optimal frequency band according to the environment. In this way, by combining the generative AI with existing control AI, it is possible to contribute to more complex data analysis and prediction, further improving the operational accuracy and efficiency of high-altitude floating vehicles.

[0028] Examples of commands to the AI: A command to the AI ​​could be, for example, "Find the optimal route from the current location (calculated from latitude, longitude, and altitude) to the set destination (latitude, longitude, and altitude) by utilizing air currents. Determine the air currents by analyzing past and current weather data." Further commands to the AI ​​could include, "The optimal route is one that allows for more stable flight by avoiding turbulence," or "The optimal route is one that can be reached in the shortest time." To allow the aircraft to stay within a certain range, a command to the AI ​​could be, "Find a route that allows the aircraft to stay within a certain range by utilizing air currents and circling around it." For energy conservation, a command to the AI ​​could be, "Calculate the amount of electricity generated based on the duration (amount) of sunlight exposure and find the most energy-efficient route to the destination." Furthermore, a command to the AI ​​could be, "Find an emergency route to avoid dangerous weather conditions (typhoons, storms, extremely cold areas) predicted from the current location and evacuate to a safe area." Furthermore, when patrolling multiple destinations, the AI ​​may be instructed to "Find a route that efficiently visits each of the specified destinations (latitude, longitude, altitude) and travels to them in the shortest time or with the least energy consumption." Additionally, as an instruction that includes altitude changes, the AI ​​may be instructed to "Analyze the current weather data and air current conditions around the destination, and if flight at a specific altitude is efficient, instruct to ascend or descend to that altitude." Furthermore, for observation and data collection in a designated area, the AI ​​may be instructed to "Stay in the designated area for a long period of time (e.g., ** hours) and collect weather and environmental data using observation equipment. Adjust the route so that communication with the ground station is not interrupted." Finally, for stable flight at a fixed point, the AI ​​may be instructed to "Find a route that maintains stable hovering at a designated point for a certain period of time. Adjust buoyancy and thrust appropriately considering air current fluctuations to minimize energy consumption." Furthermore, considering the balance required for long-distance travel, one could instruct the AI ​​to "plan the journey to the destination while optimizing energy consumption, taking into account the remaining battery level and the performance of the propulsion system."Furthermore, to ensure communication stability, the AI ​​may be instructed to "calculate a route that can only be traveled within a communication-enabled area and prevent communication interruptions." In this case, the communication-enabled area is assumed to be pre-programmed into the AI. Additionally, for operations including cargo delivery, the AI ​​may be instructed to "calculate a dwelling route to safely deliver cargo at a designated location and maintain stable buoyancy while minimizing energy consumption." Furthermore, to improve the accuracy of weather data analysis, the AI ​​may be instructed to "move while collecting weather observation data and continuously update the database so that it can be reflected in the next route calculation." The buoyancy device is equipped with various sensors for collecting weather observation data, and the AI ​​(navigation control AI) is assumed to be able to acquire this data. Additionally, to accommodate special applications including disaster response, the AI ​​may be instructed to "calculate a dwelling route over a disaster area and immediately adjust altitude and position based on the local conditions." The AI ​​is assumed to have data on the disaster area pre-programmed into it.

[0029] Thus, the navigation control AI plays a role in achieving highly accurate operation of the floating aircraft by comprehensively managing weather data analysis, dynamic altitude adjustment, precise control of the propulsion system, energy management, and communication control.

[0030] <Route search using algorithms> It should be noted that navigation control systems can search for routes without necessarily using AI such as machine learning or deep learning.

[0031] The following describes a route search method that utilizes Dijkstra's algorithm and other methods to find the optimal route for a floating device to reach its destination by riding air currents.

[0032] This route-finding method models airflow at various locations on Earth as "links" and constructs a "network" by connecting these links. Each link is assigned a start and end point defined in three-dimensional space, and a "cost" required for travel along the link is calculated and assigned. This cost is evaluated by combining multiple factors, including airflow speed, safety, presence or absence of turbulence, energy consumption, and the time required for travel. This results in the construction of links that accurately reflect the characteristics of the airflow.

[0033] The cost calculation utilizes historical weather data, real-time weather observation data, and weather forecasting models. This dynamically updates the characteristics of each link (e.g., airflow stability, speed, safety, etc.), including the time axis. Using this constructed airflow network as input data, an optimal route search is performed using known methods such as Dijkstra's algorithm.

[0034] Dijkstra's algorithm sets a starting point as a node (latitude, longitude, altitude) and searches for the optimal route to the destination node. The search proceeds by selecting the link with the shortest cost from the starting point. During this process, cumulative costs are considered, and the path that minimizes the overall cost is dynamically calculated. The cumulative cost includes the following elements: travel time based on airflow speed and direction; safety assessment based on airflow stability and the presence or absence of turbulence; energy efficiency considering the amount of power generated by solar panels and the remaining battery capacity; and risk avoidance assessment in case of emergency evacuation.

[0035] This allows the navigation control system to dynamically calculate the route to reach the destination. For example, if the shortest travel time to the destination is the priority, a link with high air current speed is selected. On the other hand, if energy conservation is the priority, a route that uses air currents with low energy consumption, even at a lower travel speed, is chosen. Thus, a key feature is the ability to flexibly change the cost weighting according to the purpose of route searching.

[0036] Furthermore, the system can adapt to real-time changes in weather conditions. For example, if turbulence occurs along the route to the destination, the cost of the link is dynamically recalculated, and a new route is searched for. This allows the flotation device to reach its destination efficiently while maintaining safety.

[0037] Furthermore, the cost of the link also reflects the impact of airflow on power generation efficiency. Specifically, the calculation includes the altitude and time of day when the solar panels can generate the most power. Based on this information, a route that minimizes energy consumption can be selected. Such route planning is particularly useful when the floating vehicle is to be operated for extended periods.

[0038] The following scenarios are possible as examples of applications: (1) Disaster response: A route prioritizing safety and speed is searched to efficiently move over disaster-stricken areas and deliver supplies quickly. (2) Environmental monitoring: When collecting weather observation and air pollution data, a route within a specified area is calculated while minimizing energy consumption. (3) Logistics: A route that efficiently circulates between multiple distribution centers is calculated, minimizing overall operating costs.

[0039] This route planning method offers significant advantages over conventional flight planning technologies, particularly in its ability to flexibly adapt to complex weather conditions and diverse operational requirements. This enables the aircraft to achieve optimized movement in terms of safety, efficiency, and energy consumption, making it promising for use in a wide range of fields, including observation, logistics, and disaster response.

[0040] The navigation control system may also instruct the navigation control AI to use the algorithm described above for route searching. For example, the navigation control AI may be instructed to perform a route search that includes the steps of: analyzing past and current weather data to evaluate the characteristics of airflow and modeling the airflow as links; evaluating the required time, safety, and energy consumption of the links as costs; and calculating the route that minimizes cumulative cost based on the evaluated costs using Dijkstra's algorithm. Alternatively, in order for the floating device to circle and stay within a specific range, the navigation control AI may be instructed to analyze the airflow characteristics within a specified range based on weather data and search for a route that can be circled based on the stability of the airflow.

[0041] e. Communication System The communication system is configured to enable real-time communication with the ground and inter-aircraft communication. The components of the communication system are as follows: ・High-power radio module The high-power radio module forms the core of the communication system and enables data transmission and reception over a wide area. This ensures communication with ground stations and other aircraft. ・Multi-band antenna The multi-band antenna has the function of supporting multiple frequency bands in the communication system and achieves efficient communication by automatically selecting the optimal frequency band according to the surrounding communication environment. ・Communication protocol control unit The communication protocol control unit performs control to maintain the stability and efficiency of communication. This unit monitors the transmission and reception of data and has a mechanism to automatically retransmit in the event of an error. ・Satellite communication module The satellite communication module is installed because communication from the ground may be difficult in high-altitude environments. This module enables reliable communication even in remote locations. ・Encryption function The encryption function applies strong encryption to communication data as a security measure. This prevents unauthorized access from external sources and protects confidential information.

[0042] The communication system collects data obtained from the sensors of the aircraft and the flight control AI, and transmits it to the ground station or other aircraft. When real-time communication is required, the high-power wireless module and the multi-band compatible antenna operate, and data is transferred using the frequency optimal for the environment. Also, the communication protocol control unit monitors the quality of the transmitted data and performs retransmission if an error or communication interruption occurs. Furthermore, when the satellite communication module is connected, data transmission is possible even outside the communication range. All communication data is highly protected by the encryption function, minimizing the risk of eavesdropping and tampering from the outside.

[0043] Such a communication system performs data transmission and reception with a ground station or other floating machines, and shares operation information in real time. It also has a relay function using satellite communication, enabling operation in a wide area.

[0044] f. Functions according to applications The floating machine of this embodiment can achieve various purposes by installing the necessary devices according to each of the following applications.

[0045] ・ Meteorological observation To perform meteorological observation, it is equipped with a temperature sensor, a humidity sensor, a pressure sensor, a wind speed meter, a wind direction meter, and an optical sensor for cloud amount observation. These sensor groups collect meteorological data in the stratosphere and near the ground with high precision. Furthermore, it incorporates an AI processor for data analysis and can analyze the observation data in real time.

[0046] ・ Environmental monitoring For environmental monitoring, it is equipped with sensors that detect fine particles and harmful substances (such as PM2.5, carbon monoxide, nitrogen dioxide, ozone, greenhouse gases, etc.) in the atmosphere. In particular, by using chemical sensors and laser spectroscopy devices, wide-range and high-precision measurements can be realized. Also, a large-capacity data storage device is provided to record global environmental changes over a long period.

[0047] - Disaster Response In disaster response, due to its ability to float for a long time, it is equipped with a communication relay device, a container for relief supplies, an infrared camera, and a high-resolution visible light camera. The communication relay device plays a role in ensuring communication between the disaster-stricken area and the outside using satellite communication or wireless communication even when the ground communication infrastructure is damaged. It also has a robotic arm and an automatic release mechanism for transporting and dropping relief supplies (such as posting flyers for announcements), a loudspeaker for voice announcements, and an LED lamp.

[0048] - Logistics and Transportation For logistics and transportation, it is equipped with a container fixing device and a shock absorption structure for safely and efficiently transporting goods. Also, load sensors and cameras for real-time monitoring of the weight and condition of the loaded items are necessary. Furthermore, by incorporating a navigation AI and an energy management system for optimizing the route to the destination, the transportation efficiency is maximized.

[0049] - Communication Relay When for the purpose of communication relay, it is equipped with a high-power wireless communication module, a multi-band compatible antenna, and a satellite communication unit. This enables data communication with the ground and provides a wide-area communication network. Also, for the purpose of ensuring security, it has an encryption module and a data backup device.

[0050] As described above, the floating machine in the present invention can be operated for a wide range of purposes by mounting devices corresponding to each of the applications of weather observation, environmental monitoring, disaster response, logistics and transportation, and communication relay. These devices maximize the operation efficiency of the floating machine and exhibit high performance under various conditions.

[0051] <Explanation of Examples of Floating Machines with Drawings>Some examples of floating machines will be described using drawings. Figure 2 shows an example of a floating machine 100A and depicts the arrangement of each component in the floating machine 100A. The floating machine 100A in this embodiment includes a solar panel 102A installed at the center of the main body 101A, balloons (in an inflated state) 103A arranged in four directions, and propellers 104A attached to the upper part of each balloon.

[0052] The solar panel 102A functions as the primary energy source for the floating machine 100A and employs a structure that efficiently absorbs sunlight by securing a large surface area. This solar panel 102A generates electricity using daytime sunlight, supplying power to the floating machine 100A's propulsion system and communication system. Furthermore, any surplus electricity generated is stored in a battery, enabling operation at night and on cloudy days.

[0053] The balloons 103A, arranged in four directions, are elements that ensure the buoyancy of the float 100A. These balloons 103A are filled with helium gas and are designed so that each balloon 103A can independently adjust its buoyancy. This structure allows the float 100A to maintain altitude while maintaining a stable attitude.

[0054] The propellers 104A function as propulsion systems for the floating machine 100A, controlling its movement and position. Each propeller 104A is mounted on top of the balloon 103A and is designed to be lightweight and highly efficient. The propellers 104A are individually controlled, allowing for changes in the machine's direction and fine adjustments. Energy consumption associated with the operation of the propulsion system is covered by power supply from solar panels and batteries.

[0055] Furthermore, the frame to which the propeller 104A and balloon 103A are attached is foldable using an adjustable opening / closing wire 105B. This allows the overall size to be changed and air resistance to be controlled.

[0056] As shown in this figure, the flotation device of the present invention enables efficient and stable floating and movement through the coordinated operation of the buoyancy securing device and the propulsion device. Furthermore, long-term operation is possible through sustainable energy supply using the solar panel 102A. In addition, the four-directional balloon arrangement shown in the figure plays a role in optimizing the center of gravity balance of the flotation device and enhancing its stability.

[0057] Figure 3 shows an example configuration of the floating device 100B, which includes a deployable solar panel 102B and a balloon (balloon section) 103B attached to the main body 101B. In this figure, the solar panel 102B is depicted in a partially deployed state, clearly illustrating how this improves the energy efficiency and functionality of the floating device 100B.

[0058] The buoyancy device 100B of this embodiment has a balloon 103B positioned in the center and a foldable solar panel 102B surrounding it. The balloon 103B is the main element that generates buoyancy and plays a role in maintaining the altitude of the buoyancy device by filling it with helium gas. This balloon is made of a material that combines strength and flexibility and is designed to withstand changes in external air pressure and temperature.

[0059] The solar panel 102B is a crucial component of the energy supply system of the levitation device 100B. This figure shows the panel partially deployed, allowing for maximum capture of sunlight. This deployable solar panel is equipped with an opening / closing wire 105B for transitioning from a folded to a deployed state, enabling efficient deployment or retraction as needed. Furthermore, its deployed shape is flexibly adjustable, accommodating configurations such as rolled-up or tiled arrangements. This allows for operation in an appropriate shape depending on transportation and the operating environment.

[0060] Multiple propellers 104B are arranged around the balloon, and these function as a propulsion system. The propellers can be individually controlled, allowing for precise control of the direction and position of the floating device. The propellers are driven by electricity generated by solar panels and stored in batteries.

[0061] In this configuration, the solar panel 102B has a deployable structure that allows for a large surface area, making it possible to efficiently utilize daytime sunlight to generate electricity. Furthermore, by storing surplus power in a battery, a stable energy supply is possible even at night or on cloudy days. In addition, since air resistance is reduced when the panel is folded, the efficiency of the levitation device when it ascends or moves is improved.

[0062] The deployable structure shown in this figure offers flexibility to accommodate a variety of applications, including long-term floating, observation, and communication relay. Furthermore, the overall design, including the opening / closing wire 105B and the propeller control mechanism, is optimized to ensure high-precision operation while maintaining a stable attitude for the floating device 100B.

[0063] Based on the above, the configuration shown in this figure demonstrates that the flotation device of the present invention exhibits excellent performance in terms of energy efficiency, maneuverability, and safety.

[0064] Figure 4 shows an example of a structure in the floating machine 100C in which the solar panel 102C attached to the main body 101C is rolled into a cylindrical shape. This shape is designed to generate efficient speed when moving in a straight line. Furthermore, by making the direction of the propeller 104C variable, it has the flexibility to control thrust and buoyancy simultaneously.

[0065] In this diagram, the solar panel 102C is housed in a cylindrical shape in the center, making it suitable for use when not in use or when minimizing air resistance is desired. This cylindrical panel has a layer on its inner surface that absorbs sunlight, and it is also possible to use both sides. Deployment wires 105C are used to house and deploy the solar panel, and it can be deployed automatically or remotely as needed.

[0066] Furthermore, the flotation device 100C is equipped with four propellers 104C, each designed to be individually controllable. This allows the flotation device to precisely control not only forward, backward, left, and right movement, but also direction changes and altitude adjustments. The main control unit adjusts the propeller angles to provide optimal thrust according to the direction and speed of movement. In addition, the main body 101C extends its wings like an airplane to facilitate horizontal movement and to easily utilize the lift generated by the wings.

[0067] Figure 5 shows the solar panel 102C, which was rolled into a cylindrical shape in Figure 4, in an unfolded state. Here, the solar panel 102C is pulled out by the unfolding wire 105C, achieving a shape that can efficiently absorb sunlight over a wide area.

[0068] The deployed solar panels 102C cover a large area, enough to enclose the entire floating device 100C, allowing for maximum utilization of daytime sunlight. This significantly improves the efficiency of the energy supply system and enables long-term operation. The solar panels are constructed from lightweight and flexible materials and are designed to withstand wind pressure and weather conditions.

[0069] Furthermore, Figure 5 shows a transparent balloon 103C positioned in the center, filled with a gas that generates buoyancy (e.g., helium). This balloon is an important component that supports the altitude maintenance and attitude stabilization of the flotation device 100C. The transparent material allows sunlight to irradiate the solar panel 102C. The transparent material was selected to reduce weight while minimizing the influence of the external environment.

[0070] The propeller 104C is positioned on the outer periphery of the deployed solar panel 102C, providing stable thrust and position control. The propeller's placement and angle are designed to ensure efficient operation even when the solar panel 102C is deployed.

[0071] The floating device 100D shown in Figure 6 has a structure in which a solar panel 102D is attached to the outer surface of a balloon 103D and integrated into it, and is characterized by a design that simultaneously realizes buoyancy and energy supply. The balloon is filled with helium to provide buoyancy, and the solar panel 102D on its outside generates electricity efficiently. This integrates the buoyancy structure and the energy supply device, improving both weight reduction and efficiency.

[0072] As an example of the configuration of the floating machine 100E shown in Figure 7, the solar panel 102E is shown in a mountain-like shape deployed on the main body 101E of the floating machine. In this configuration, a balloon 103E is enclosed in the center, and a design is adopted to absorb sunlight over a wide area while ensuring buoyancy. The solar panel 102E is deployed in a mountain-like shape so as to spread outwards from the balloon 103E, and is designed to efficiently absorb sunlight. The deployed panel is made of a lightweight and flexible material that can withstand wind pressure and weather conditions. During the day, it collects sunlight over a wide area, maximizing energy efficiency and supplying the power necessary for the floating machine's propulsion system and communication system.

[0073] Figure 8 shows an example of a configuration employing a foldable solar panel 102F in the levitation machine 100F. In Figure 8, the solar panel 102F is depicted in a folded state, reducing air resistance while maintaining a compact shape and enabling efficient operation. The solar panel is attached to the main body 101F of the levitation machine and is designed to be deployed when in use and folded when not in use or during transport. This folding mechanism operates using a deployment wire 105F, allowing the panel to be deployed or stored automatically or remotely as needed. Energy collection efficiency is optimized by providing a layer that absorbs sunlight on both sides or one side of the panel.

[0074] By employing the foldable solar panel 102F, the levitation device 100F minimizes air resistance during movement and transport, while enabling power generation over a wide area when deployed. This results in improved energy efficiency and operational flexibility.

[0075] Figure 9 shows a configuration in which two floating units 100G are connected by a connecting unit 106G. In this connection example, the integration of multiple floating units allows for larger size and improved stability. This configuration makes it possible to increase the amount of cargo that can be transported and to efficiently conduct observations over a wide area.

[0076] Figure 10 shows a configuration of the flotation device 100H equipped with ring-shaped balloons 103H. In this design, the balloons 103H are arranged in a ring, efficiently securing buoyancy while enabling stable flight.

[0077] The annular balloon 103H not only provides buoyancy, but can also incorporate a solar panel function on its outside or inside. This solar panel 102H efficiently absorbs sunlight and generates electricity. Furthermore, a curl spring 107H is attached to the balloon 103H, and it is designed to automatically fold inward if the internal pressure of the balloon 103H decreases. This allows for a more compact float 100H and protects the balloon 107H.

[0078] Figure 11 shows a configuration in the floating machine 100J that includes an up-and-down movement mechanism using a balloon 103J and an extension cable 108J to enable the transport and transfer of cargo. In this floating machine 100J, a balloon 103J is placed at the top, supported by a balloon support 1931J, and a solar panel 102J is installed on the balloon 103J. The solar panel 102J is either directly attached to the surface of the balloon 103J or installed to cover the balloon 103J, and plays a role in supplying power to the entire floating machine 100J. The balloon 103J is designed to be inflatable and provides buoyancy by being filled with a lightweight gas (e.g., helium) to maintain the altitude of the machine.

[0079] The balloon 103J and the main unit 101J are connected by an extension cable 108J. A mechanism for winding up this extension cable 108J allows the balloon 103J to be raised and lowered while floating. This function enables stable floating at specific altitudes and efficient transfer of cargo.

[0080] The main body 101J is fitted with four propellers 104J, which are responsible for the thrust and attitude control of the entire flotation device 100J. The main body 101J is also equipped with a "cargo locking mechanism (clamping arm) 109J" and "landing legs," which allow for safe receiving and securing of cargo. The cargo transfer clamp 111J has a function to measure the load and a safety design that sounds an alarm and refuses to accept cargo if it is overloaded.

[0081] The balloon 103J has a connecting section 106 at its top, allowing it to be connected to other aircraft. In this case, the cargo transfer clamp 111J of the other aircraft also functions as a connecting section, allowing them to be connected vertically. By connecting them, it becomes possible to transport heavier loads.

[0082] This configuration allows the floating vehicle to be used for transporting supplies and conducting observation activities over a wide area, making it particularly suitable for use during disasters or in areas with limited access. Furthermore, the combination of the balloon and solar panels enhances energy efficiency, enabling sustainable operation.

[0083] Figure 12 shows a configuration in the floating device 100K that optimizes how light hits the solar panel 102K by moving the balloon 103K up and down, thereby achieving efficient energy absorption.

[0084] The solar panel 102K is installed on top of the main unit 101K and is designed to absorb sunlight over a wide area. By adjusting the length of the extension cable 108K to move the balloon 103K up and down, it is possible to prevent light from being blocked from the solar panel and capture sunlight at the optimal angle. This maximizes power generation efficiency and supports the long-term operation of the floating device 100K. With this configuration, the floating device 100K achieves both optimized energy efficiency and floating stability, making it suitable for a variety of applications such as observation, communication, and logistics. Furthermore, flexible operation according to environmental conditions is achieved by moving the balloon section.

[0085] <Advantages of Floating Vehicles> Floating vehicles, with their characteristic of floating like jellyfish, have unique applications that cannot be achieved with conventional aircraft or balloons. By utilizing the Earth's air currents to move naturally, they can be operated with flexibility and long-term flight capabilities. Such floating vehicles are ideal for weather observation and environmental monitoring. Because they move by relying on air currents, they can automatically cover a wide area. For example, by equipping them with sensors to measure the concentration of particulate matter and gases in the atmosphere, it becomes possible to collect environmental data on a global scale. Also, even when fixed-point observation is required, stable data acquisition can be achieved by analyzing the characteristics of the air currents and gently orbiting the surrounding area. Furthermore, such floating vehicles can be used for observation and communication relay during disasters. If ground infrastructure is destroyed, floating vehicles can function as a platform to temporarily provide a communication network. In particular, by having multiple floating vehicles work together, it becomes possible to build a flexible network that covers the entire disaster area. In addition, such floating vehicles can provide unique experiences in the fields of education and tourism. For example, by broadcasting a stratospheric floating experience in real time, educational institutions can provide opportunities to learn about the global environment. Furthermore, for tourism purposes, cameras mounted on the floating aircraft can record breathtaking scenery, offering a new experience of viewing the Earth from above. Moreover, a key feature of these floating aircraft is their low operating cost and sustainability. Because they move naturally by riding air currents, they can operate over a wide area while minimizing energy consumption. This characteristic makes them suitable for use in remote areas and developing regions, and they are attracting attention as a solution for observation and logistics in places where infrastructure is underdeveloped. Thus, floating aircraft, capable of floating freely in the atmosphere, are expected to be utilized in a variety of fields, leveraging their unique characteristics. This technology, combining flexibility and sustainability, holds the key to opening up new possibilities for use.

[0086] <Description of Ground Station> The ground station is the central component of the floating machine control system of the present invention and consists of multiple elements necessary for communicating with the floating machines and controlling their operation. This station is equipped with the following elements to achieve real-time management of the floating machines: a. Communication Control Unit The communication control unit has the central function of managing data transmission and reception between the ground station and the floating machines. This unit supports multiple communication protocols and receives the floating machines' location information, environmental data, and operating status in real time. It can also transmit control commands to the floating machines and adjust their operation remotely. This unit is equipped with a parallel processing function so that data can be processed efficiently even when there are many floating machines.

[0087] b. Data Analysis Module: The data analysis module analyzes various data transmitted from the flotation device (temperature, atmospheric pressure, wind speed, location information, etc.) in real time, providing information necessary for controlling the device's operation and optimizing its route. This module has the capability to predict weather changes and air current trends using a high-performance database and statistical algorithms. The analysis results are also visualized, allowing operators to quickly grasp the situation.

[0088] c. AI Control System The AI ​​control system makes decisions to optimize the altitude, position, and course of the floating aircraft. Based on real-time data from the floating aircraft, this system dynamically generates optimal control commands using machine learning algorithms. This AI also has the ability to predict future weather conditions and sudden environmental changes by linking with a weather database. It also manages the coordinated operation of floating aircraft and assigns tasks to maximize overall efficiency. For example, if the AI ​​control system detects that a floating aircraft sailing ahead has stronger winds than usual on its current route, or that the wind direction differs from weather data, it will exclude that route from the list of possible routes for subsequent floating aircraft.

[0089] d. User Interface (UI) System The user interface is designed to be intuitive and enable operation of the ground station. This includes a dashboard for real-time monitoring of the flotation vehicle's status and a control panel for manual command input. The UI system is multilingual and allows for mode switching according to the operator's skill level.

[0090] e. Energy Management Module: The energy management module monitors the floating vehicle's energy usage and adjusts the operation of solar panels and batteries as needed. This module plays a role in directing the optimization of energy efficiency from the ground station, helping to ensure the floating vehicle operates stably over long periods.

[0091] f. Backup System The backup system has the function of ensuring data security in case of a ground station failure. This involves periodically saving data to the cloud or other ground stations to enable rapid recovery.

[0092] The ground station, configured as described above, collects data from the floating vehicles in real time, generates and transmits optimal control commands based on the analysis results. These commands are sent to the floating vehicles via a communication control unit, efficiently managing the vehicles' altitude adjustment, propulsion control, energy use, and other functions. Furthermore, the ground station's AI system comprehensively manages multiple floating vehicles, improving observation efficiency and operational accuracy through coordinated operation.

[0093] The ground station, with its flexible configuration and advanced analytical capabilities, plays a crucial role in supporting the safe and efficient operation of the floating aircraft. Therefore, it is designed to handle both single and multiple floating aircraft.

[0094] <Ground Station Hardware Configuration> The ground station is equipped with the necessary hardware configuration to support the operation of the floating spacecraft. This configuration consists of various components for efficiently performing computational processing, data analysis, communication control, power management, and operational monitoring.

[0095] First, the core of the ground station is a high-performance computer server. This server is responsible for processing the vast amount of data transmitted from the floating spacecraft in real time and accurately generating operational commands. In particular, it is equipped with the latest multi-core processors and large-capacity memory to process diverse information such as weather data, sensor information, and floating spacecraft operation logs in parallel. This server also uses machine learning algorithms to analyze data and provides advanced predictive models to optimize the operation of the floating spacecraft.

[0096] Next, the communication control unit plays a crucial role. This unit manages bidirectional communication with the floating spacecraft, enabling accurate transmission and reception of data between the ground and the stratosphere. The communication control unit supports multiple communication protocols and is designed to quickly secure alternative routes in the event of communication failures by combining satellite communication, wireless communication, and fiber optic communication. Furthermore, high security is maintained through encryption technology for communication data.

[0097] The data storage system is also a core element of the ground station. This storage system stores data collected from the levitation vehicle long-term and records operational history and analysis results. By employing a hybrid configuration with SSDs that enable high-speed data access and conventional HDDs, it achieves efficient management of large amounts of data. This system also has a backup function, minimizing the risk of data loss.

[0098] Furthermore, the ground station has an integrated power supply system. This system is equipped with an uninterruptible power supply (UPS) and renewable energy generators, enabling stable operation over long periods. In particular, by utilizing solar and wind power, the system is designed to reduce environmental impact while ensuring uninterrupted energy supply even in emergencies.

[0099] The ground station also features an interface system designed to allow operators to intuitively understand the operational status of the flotation vehicle. This system has multiple high-resolution displays that visually show the vehicle's location, operational status, weather data, and more. It also employs a control panel with touch panel and voice input capabilities, allowing for rapid input of operational commands. The multilingual design enables flexible operation in international settings.

[0100] These hardware components work together to enhance the overall efficiency and reliability of the ground station. This configuration allows the ground station to function as the foundation for the precise and stable operation of the flotation vehicle.

[0101] <Process Flow Until Reaching the Destination> The following describes the process flow of the flotation vehicle, from initial setup on the ground to movement to the destination and final landing. 1. Initial Setup and Preparation for Flotation The destination and optimal route of the flotation vehicle can be set in advance at the ground station, but it is also possible to set the destination after floating. This flexibility is made possible by the navigation control AI's ability to take in weather data and destination information in real time and respond to new instructions while floating. On the ground, the status of the buoyancy control device and propulsion device is checked based on the latest weather data, and the helium supply system is activated to generate buoyancy.

[0102] 2. The flotation device lifts the flotation device off the ground for ascent and stratospheric arrival. The amount of helium gas injected is adjusted in real time by the navigation control AI to provide appropriate buoyancy. The propulsion system during ascent operates with minimal energy consumption and is intended for altitude adjustment. Upon reaching the stratosphere, it is ready to capture the jet stream.

[0103] 3. Capturing and Utilizing Jet Streams: Within the stratosphere, AI analyzes weather data in real time to select the optimal jet stream for heading towards the destination. Altitude adjustments by the buoyancy control system and fine-tuning of the propulsion system work together to efficiently begin movement within the jet stream. Even if no destination is set, the floating device continues to move to an energy-efficient position using the jet stream.

[0104] 4. Long-distance travel: During long-distance travel utilizing the jet stream, the communication system maintains data exchange with ground stations, transmitting aircraft position and status information. The energy supply system generates electricity using solar panels during the day and stores surplus power in batteries. Stable operation is possible at night or on cloudy days by supplying power from the batteries.

[0105] 5. Circling and Staying in Flight Using Airflow When staying in flight or circling around a destination is required, the navigation control AI analyzes local airflow data and calculates a route suitable for staying in flight. This includes a method of continuously utilizing multiple surrounding airflows to make the floating aircraft circle near the destination. Specifically, altitude adjustment using a buoyancy control device and lateral position control using a propulsion system are combined to enable the floating aircraft to maintain a stable orbit. This technology enables long-term operation in specific areas, such as for observation or communication relay.

[0106] 6. If weather conditions change during route changes and air current transfers, the navigation control AI calculates a new route and identifies the next air current to transfer to. At this time, the buoyancy control system and propulsion system work together to adjust altitude and position, allowing for a smooth transition to the next air current.

[0107] 7. Approaching the Destination: If a destination is set, the flotation device gradually descends in altitude as it approaches the destination. The AI ​​control system adjusts the amount of helium gas released (compressed and recovered) to reduce buoyancy and uses the propellers to calculate the optimal descent trajectory. If prolonged flight is required near the destination, another orbital route is planned.

[0108] 8. Once the final landing float reaches its destination, it releases more helium gas and descends safely. The propellers correct its position with minimal thrust and mitigate the impact of landing. The ground station performs final checks and the operation is terminated.

[0109] These processing flows enable the flotation device to offer configuration flexibility and long-term operation around its destination, resulting in precise and safe movement and hovering.

[0110] <Method for circling and staying near a destination using strong air currents> When a floating aircraft circles near a destination, in order to enable stable stay even in harsh environmental conditions such as jet streams and turbulence, the altitude control, propulsion control, and course planning of the floating aircraft must be closely coordinated. The floating aircraft can be provided with a system that effectively circles around the destination by utilizing multiple air currents through flight control AI.

[0111] Explanation of Circular Stay 1. Airflow Data Analysis and Course Planning The navigation control AI onboard the floating machine analyzes the characteristics of multiple airflows around the destination based on meteorological data and real-time observation information. It dynamically calculates a circular route that allows for stable stay, taking into account jet streams and local turbulence. This calculation includes planning for efficient circling by utilizing airflow by raising and lowering the altitude of the floating machine.

[0112] 2. Airflow Switching Through Altitude Adjustment To stay afloat in strong air currents, altitude adjustment using a buoyancy control device is key. The buoyancy device moves to stable air currents at specific altitude ranges, and the navigation control AI controls the injection and release of helium gas in real time. This altitude adjustment enables efficient airflow switching near the destination.

[0113] 3. Fine-tuning by the propulsion system: In addition to altitude adjustment, the propulsion system (propeller) makes fine adjustments to the lateral and longitudinal positions. Even if the flotation device is significantly affected by strong air currents, it is designed to maintain its circular route through precise propulsion control using the propeller.

[0114] 4. Energy Management: The energy supply system is highly optimized to minimize energy consumption during laps. During the day, solar panels store electricity, and batteries are used at night. In addition, the power of the propulsion system is controlled to the minimum necessary.

[0115] 5. Planning a Loop-Type Circular Route A loop-type route is planned that connects multiple air currents around the destination. On this route, the flotation device will use one air current to move to one end of the destination, and then use the air current in the opposite direction to return, repeating the circular process.

[0116] Furthermore, it is not always necessary to establish a return route; other destinations may be planned one after another. Alternatively, the aircraft may land at a designated waiting area on the ground, recover the flotation device for maintenance and inspection, or transport it to another location and plan a route from that location.

[0117] <Detailed explanation of each operation> <Levitation operation> The levitation operation is as follows. Based on a control signal from a ground station, the levitation device of the present invention levitates from the ground in the following procedure. By coordinating each component, the levitation device achieves high-precision and efficient levitation operation.

[0118] 1. Buoyancy Generation The buoyancy control device is responsible for generating buoyancy. First, the helium supply system within the buoyancy control device activates, injecting an appropriate amount of helium gas from a high-pressure tank into the gas bag. Next, the pressure adjustment mechanism works in conjunction with real-time sensors to measure the external atmospheric pressure and optimize the internal pressure. The internal gas distribution pipe evenly distributes the injected helium gas, equalizing the buoyancy throughout the gas bag. The reinforcing frame stabilizes the shape of the gas bag, preventing over-inflation and deformation of the gas bag during buoyancy generation. As described above, the flotation device obtains the basic buoyancy necessary to leave the ground.

[0119] 2. The auxiliary propulsion system provides assistance for buoyancy. Once sufficient buoyancy is secured and the flotation device is ready to leave the ground, the propeller, driven by a brushless motor, begins to rotate. This propeller provides auxiliary thrust vertically to the aircraft. The propeller mounting mechanism automatically adjusts the propeller angle and optimizes the thrust direction to match the direction of buoyancy. The motor drive circuit adjusts the propeller rotation speed in real time, controlling the flotation device to obtain the necessary thrust precisely. As a result, the flotation device utilizes both buoyancy and thrust to begin a stable ascent. The propeller rotation speed is adjusted by a flight controller or similar device.

[0120] 3. Integrated Operation of Energy Supply and Control Systems: The energy supply system and the navigation control AI operate in coordination. During ascent, the energy supply system operates, providing a stable power supply from solar panels and batteries. Power supply from batteries is particularly important during the initial ascent, and it supplies power to the motors and control systems through a high-efficiency inverter circuit. The navigation control AI analyzes data from the sensor array and integrally controls the buoyancy control device and propulsion device. The sensor array collects weather data, wind speed, and barometric pressure information and provides it to the navigation control AI.

[0121] This allows the flotation device to follow the optimal ascent path according to the environment.

[0122] 4. Transition to a Stable Ascent The navigation control AI manages the stable ascent of the flotation device. After the initial ascent, the navigation control AI makes the following adjustments to adapt to air currents and external conditions: The pressure adjustment mechanism adjusts the internal pressure in response to changes in external pressure to maintain appropriate buoyancy. The propulsion system makes fine thrust adjustments to maintain balance during ascent.

[0123] As a result, the flotation device continues to ascend while maintaining a stable posture.

[0124] 5. Reaching the Stratosphere The flotation device continues to ascend until it reaches the target altitude. The navigation control AI continues to make the following adjustments: The pressure adjustment mechanism stabilizes buoyancy and maintains the target altitude. The propulsion system makes course changes and fine adjustments to position. This prepares the flotation device for operation at the target altitude.

[0125] 6. Post-float stabilization control: Even after the flotation device reaches the target altitude, the navigation control AI and each device work together to maintain a stable floating state. The communication system communicates with the ground station in real time and transmits operational data. The navigation control AI adjusts each device according to weather conditions and air current fluctuations.

[0126] These actions allow the flotation device to efficiently and stably ascend from the ground and begin operations in the stratosphere.

[0127] <Movement using air currents> The air currents used by floating aircraft at high altitudes are part of the Earth's atmospheric circulation and are an important factor that influences global climate and weather. Air currents are mainly formed by the difference in heating between the Earth's surface and the atmosphere due to solar energy, the Earth's rotation, and topography. The combination of these factors creates complex wind patterns on Earth, which give rise to characteristic flows such as jet streams and local currents.

[0128] The jet stream is a particularly fast and stable flow of wind within the stratosphere, mainly located at an altitude of around 10-15 km. These streams form bands known as the polar easterlies and subtropical easterlies in the Northern and Southern Hemispheres, respectively, and play a role in global atmospheric circulation. Furthermore, the intensity and location of these streams change depending on the season and weather conditions, and consequently, they also affect the climate at the Earth's surface.

[0129] By efficiently utilizing the jet stream, the floating aircraft enables long-distance travel while minimizing propulsion energy consumption. For example, when traveling from Tokyo to Los Angeles, it can capture the eastward jet stream at an altitude of 10-15 km and cross the Pacific Ocean. By utilizing the jet stream in this way, travel time can be reduced and energy efficiency improved.

[0130] Localized air currents are stable wind flows that form in specific terrains or regions, and are used for lingering near destinations and for fine-tuning one's position. For example, when traveling from Tokyo to Nagano, relatively stable localized air currents are used to optimize short-distance travel.

[0131] These air currents can be likened to a transportation network where you can reach your destination by changing trains or buses. The floating vehicle analyzes the air current conditions in real time through its navigation control AI and selects the optimal route. First, it adjusts its altitude to ride the target air current, and uses that flow to move to the next point. Then, it changes to another air current to approach its destination. By repeatedly changing air currents in this way, it becomes possible to reach any point on Earth with minimal energy.

[0132] The navigation control AI possesses the ability to flexibly respond to air currents, enabling it to cope with sudden weather changes and turbulence. This opens up possibilities for a new mode of transportation that utilizes a global air current network.

[0133] The levitation device of this embodiment is a technology that utilizes tropospheric and stratospheric air currents to achieve travel to and stay at a destination. By using jet streams and localized stable air currents and adjusting altitude and course in real time, efficient and accurate travel is possible over short to long distances. The following will be explained using travel methods from Tokyo to Nagano, Osaka to Fukuoka, and Tokyo to Los Angeles as examples.

[0134] <Example: Travel from Tokyo to Nagano> Travel from Tokyo to Nagano is a short distance of approximately 180 km, and it is suitable to travel within the troposphere near the ground without ascending to the stratosphere. Starting point (Tokyo): Latitude 35.6895°N, Longitude 139.6917°E, Altitude 100 m The buoyancy device is used to ascend to an altitude of 500 m. The propeller is stopped to conserve energy. The buoyancy device is used to catch local winds (northwesterly wind, speed: 15 km / h, direction: northwest) and the buoyancy device is used to travel towards Nagano. Midpoint (near Gunma Prefecture): Latitude 36.3907°N, Longitude 139.0622°E, Altitude 700 m The propeller is activated as the buoyancy device approaches mountainous terrain. The buoyancy device's course is finely adjusted to catch a valley wind, and the altitude is adjusted to 900 m using the valley wind (speed: 10 km / h, direction: north). Destination (Nagano): Latitude 36.6513°N, Longitude 138.1810°E, Altitude 500 m. The aircraft will use its buoyancy control system to gradually descend, utilizing the mountain breeze near Nagano City (speed: 12 km / h, direction: southwest) to maintain stable flight during landing. Estimated time: 2-3 hours.

[0135] <Example: Travel from Osaka to Fukuoka> Travel from Osaka to Fukuoka is a medium distance of approximately 600 km, and it is appropriate to travel within the troposphere (altitude 1,000-2,000 m) without ascending to the stratosphere. Starting point (Osaka): Latitude 34.6937°N, Longitude 135.5023°E, Altitude 100 m Use the buoyancy control device to ascend to an altitude of 1,000 m. Use the propeller to catch the westerlies (speed: 30 km / h, direction: west). Midpoint (near Hiroshima): Latitude 34.3853°N, Longitude 132.4553°E, Altitude 1,200 m Over the Seto Inland Sea, the westerlies weaken, so use the buoyancy control device and propeller to adjust the altitude to 1,500 m and move to a position where you can catch the westerlies. Switch to a new westerly wind (speed: 20 km / h, direction: west-northwest). Destination (Fukuoka): Latitude 33.5902°N, Longitude 130.4017°E, Altitude 800 m. The propellers will be stopped, and the aircraft will use the local wind near Fukuoka (speed: 15 km / h, direction: south-southwest) to reach the vicinity of the destination. Finally, the propellers will be used for fine adjustments before landing at the destination. Estimated time: 4-5 hours

[0136] <Example: Travel from Tokyo to Los Angeles> ・Departure point (Tokyo) Departing from Tokyo (latitude 35.6895°N, longitude 139.6917°E, altitude 100 m), the aircraft ascends to an altitude of 12,000 m using buoyancy control devices. After ascending, it rides the high-altitude jet stream (speed: 300-400 km / h, direction: east-west) and begins moving towards Los Angeles over the Pacific Ocean. The propellers are stopped except when adjusting altitude, and the aircraft moves depending on the speed and direction of the airflow. In addition, the propellers may be controlled to tilt the aircraft relative to the airflow in order to stabilize the aircraft and make effective use of dynamic lift. ・Midpoint (over the Pacific Ocean) Near the midpoint over the Pacific Ocean (latitude 35.0°N, longitude 180.0°W, altitude 12,500 m), if the direction or speed of the jet stream changes, the navigation control AI analyzes weather data and selects a new airflow. At points where the jet stream weakens, the buoyancy control system and propellers are used to adjust the altitude to 13,000 m before switching to the next jet stream. If weather conditions are stable, the aircraft continues to move at an average speed of approximately 350 km / h by utilizing the jet stream. ・Destination (Los Angeles) Upon reaching the vicinity of Los Angeles (latitude 34.0522°N, longitude 118.2437°W, altitude 1,000 m), the buoyancy control system and propellers are activated to gradually lower the altitude. Simultaneously, local winds near the ground (speed: 20-30 km / h, direction: west) are used to maintain stable flight around the destination. Finally, fine adjustments are made using the propellers to ensure a safe landing. ・Travel time The time required to travel from Tokyo to Los Angeles depends on the speed and direction of the jet stream, but under normal weather conditions, it takes approximately 30-36 hours. This time varies depending on the adjustments made at jet stream transition points, altitude changes, and the frequency of propeller use.

[0137] <Hovering Operation of the Hovercraft> To achieve stable hovering around the destination in the troposphere and stratosphere, the flight control AI primarily adjusts the altitude and position of the hovercraft. The hovering operation utilizes regional airflow characteristics, enabling efficient and precise operation. Several examples illustrate this. 1. Hovering over London Over London, the stratospheric jet stream and local stable air currents are utilized. The flight control AI analyzes the westward jet stream located at an altitude of 10-15 km and the eastward local air current at an altitude of around 20 km, and designs a loop-shaped circumferential route combining these. The flight control AI analyzes weather data in real time and instructs altitude adjustments using the buoyancy control device. If turbulence occurs, the flight control AI activates the propulsion system to fine-tune the hovercraft's position and prevent deviation from the route. As a result, the hovercraft hovers over London with efficient energy consumption.

[0138] <Example: Staying over Tokyo> Over Tokyo, the unique jet stream of East Asia is utilized. The jet stream at an altitude of 10-15 km flows from west to east, making it usable for travel from the west side of the destination. By using the stable local air currents at an altitude of 20-25 km, long-term stays near the destination are achieved. The flight control AI optimizes the orbital route around the destination based on airflow data from sensors. The flight control AI controls the propulsion system and makes fine positional adjustments near the destination. As a result, the flotation device maintains a stable stay over Tokyo while maximizing energy efficiency.

[0139] <Example: Staying over Antarctica> Staying over Antarctica is possible by utilizing the polar vortex and polar circulation air currents. The polar vortex at an altitude of 20-30 km is suitable for the flotation device to form a natural circular route. The flight control AI analyzes the movement of the polar vortex and operates the buoyancy control device to keep the flotation device within the polar vortex. If necessary, the flight control AI uses the polar circulation air currents to make localized movements. This enables the flotation device to conduct long-term observations and communication relays in specific areas of Antarctica.

[0140] The above describes the actions of lifting off the ground, moving to the destination, and staying in place.

[0141] Next, we will describe some variations and application examples.

[0142] A system in which multiple floating devices cooperate to share and utilize information enables wide-area observation, efficient operation, and advanced control that cannot be achieved by a single floating device. This system is based on real-time data exchange and integrated decision-making by AI, and is designed to integrate information collection, integrated analysis, autonomous control, and cooperative operation. First, as the foundational structure for information sharing, a robust communication network is necessary for multiple floating devices to share information. This network employs a mesh network method, and since each floating device can communicate directly with each other, information sharing is possible without going through ground stations or satellites. As a result, even if a communication failure occurs, the flow of information can be maintained by utilizing alternative routes.

[0143] Furthermore, a platform has been built to comprehensively analyze the data collected by each floating device. This allows for the real-time integration of data from different perspectives, enabling a highly accurate overall understanding of the environment and situation. This platform is dynamically optimized by AI, automatically adjusting the observation range and mission to minimize energy consumption while improving accuracy.

[0144] The data collected by sensors from multiple floating units covers a wide range of parameters, including temperature, wind speed, humidity, and atmospheric pressure, and this data is shared through a mesh network. This shared data is analyzed by ground stations and cloud-based AI to predict environmental conditions and changes in airflow in real time. Based on these analysis results, each floating unit is instructed to take on new routes and tasks. Furthermore, if some floating units encounter problems, nearby units will take over functions to ensure the continuation of data collection and communication.

[0145] One application of this system is wide-area weather observation. By having multiple floating devices work together, it is possible to collect weather data over a wide area in the stratosphere in real time, enabling early detection of localized weather phenomena. This allows for high-precision tracking of typhoon and jet stream movements, contributing to disaster prediction and damage mitigation.

[0146] Furthermore, its use as a communication platform is also anticipated. In times of disaster or in areas with inadequate communication infrastructure, the floating devices can function as part of a network, providing a stable communication environment over a wide area. In addition, it can be useful for environmental monitoring, enabling wide-area and high-precision monitoring of air pollution and greenhouse gas distribution. This will allow for the integration of observation data from different altitudes and regions, supporting the visualization of environmental problems and the formulation of countermeasures.

[0147] Such systems present technical challenges, including communication stability, energy management, and the advancement of AI. However, these challenges can be adequately addressed by strengthening mesh networks, improving the efficiency of solar charging, and introducing AI technology that enables individual floating units to make autonomous decisions. This system, in which multiple floating units share information and operate in coordination, is a crucial key to maximizing the capabilities of each unit while simultaneously improving overall efficiency and reliability.

[0148] <Cargo Transport Operation> The flotation device of this embodiment is designed to achieve safe and precise transport by utilizing advanced control functions and efficient energy management functions in cargo transport. Cargo transport operations include loading cargo, transport to destination, lowering and handing over cargo, and return operations.

[0149] First, the floating aircraft receives cargo at a loading platform located at a ground station or relay station. This platform is equipped with a crane or automatic lifting mechanism for safely and efficiently loading cargo, which is then stored in the floating aircraft's cargo space. The cargo space consists of lightweight, high-strength carbon fiber containers, allowing for flexible storage according to the shape and size of the cargo. During cargo loading, loading sensors mounted on the floating aircraft measure the weight and center of gravity of the cargo in real time and transmit this information to the flight control AI. Based on this information, the flight control AI adjusts the buoyancy control system and propulsion system, and performs control to enable stable flight even with a loaded cargo.

[0150] After loading the cargo is complete, the flotation vehicle sets the optimal flight route using a ground station or its onboard flight control AI. This flight route is calculated based on weather data, air current information, and the location of geographical obstacles, and it minimizes energy consumption while transporting the cargo to its destination by efficiently utilizing jet streams and local currents. In particular, for long-distance transport, it is possible to maximize transport efficiency by utilizing stable air currents in the stratosphere.

[0151] Based on instructions from the flight control AI, the flotation device activates its buoyancy and propulsion systems to begin ascent and cruise towards its designated destination. During this cruising flight, the buoyancy system adjusts its internal pressure in real time in response to changes in cargo weight and external environmental fluctuations to maintain a stable altitude. The propulsion system drives highly efficient propellers to control direction and fine-tune position toward the destination. Furthermore, the flotation device's energy supply system utilizes solar panels and batteries to stably supply the power necessary for the propulsion and communication systems. In cloudy weather or at night, an auxiliary fuel cell is activated to prevent interruptions in the energy supply.

[0152] When the levitation device reaches its destination, the flight control AI instructs it to begin the cargo descent. At this time, the levitation device lowers the cargo to the ground using a reel-type cable or an automatic descent mechanism. During this descent, the flight control AI monitors wind speed and the surrounding environment in real time and adjusts the position of the levitation device as needed to ensure the cargo is lowered safely and accurately. In addition, an authentication system using QR codes (registered trademark) or RFID tags is activated when the cargo is handed over, providing a function to prevent misdelivery and loss.

[0153] Once the cargo has been delivered, the floating vehicle will either return to the ground station or begin its journey to its next destination, based on instructions from the flight control AI. During this process, the flight control AI optimizes the return route and efficiently utilizes air currents to minimize energy consumption. The battery is recharged during the return journey to prepare for the next operation.

[0154] Furthermore, the cargo transport operations of the floating aircraft incorporate safety measures for emergencies. For example, in the event of a communication failure, the autonomous navigation function on board the floating aircraft activates, continuing its movement to a pre-set safety point. Also, if extreme weather is predicted, the flight control AI quickly changes altitude and route to ensure safety. As a result, the floating aircraft minimizes risks during cargo transport and operates as a highly reliable transport system.

[0155] Through the above operations, the flotation device of the present invention can safely and efficiently transport cargo, and as a technology that contributes to improved logistics efficiency and reduced environmental impact, it can be applied to a variety of operational scenarios. Note that cargo includes living organisms. It may also transport people.

[0156] <Troubleshooting Measures> The floating machine of this embodiment is designed to operate stably for long periods, mainly in the stratosphere. However, its operation is accompanied by technical challenges. This chapter will explain in more detail the main challenges that may be anticipated and their solutions. 1. Energy Supply Challenges and Solutions Challenges Because the floating machine stays airborne for long periods, a stable energy supply is required day and night. However, power generation by solar panels is impossible on cloudy days or at night, and energy shortages may lead to operational interruptions. Solutions The floating machine is equipped with highly efficient solar panels that charge the storage battery using sunlight during the day. Lightweight and highly efficient solar panels such as perovskite type or organic thin film type are used to reduce the overall weight of the floating machine. Wind power generation using propellers etc. during floating, or vibration power generation using vibrations generated by wind etc. may also be adopted. Furthermore, the following specific solutions will be implemented. i) Introduction of a power management system The power management system sets priorities for key functions such as the propulsion system and communication system and efficiently distributes energy. This system uses AI control to monitor energy usage in real time and, if necessary, disable some functions or switch to a low-power mode. ii) Adoption of auxiliary energy supply devices To prepare for cloudy days and nighttime, the adoption of lightweight fuel cells or radioisotope batteries (RTGs) will be considered. Fuel cells have high energy density and can supply sufficient power even at night. These auxiliary devices will also be designed to activate automatically if the solar panels do not generate enough power.

[0157] Furthermore, while on standby on the ground, the system stores energy using solar panels and ground-based auxiliary power sources, improving efficiency when it restarts. By combining these mechanisms, the floating vehicle can ensure a stable energy supply 24 hours a day.

[0158] 2. Buoyancy Loss Due to Airbag Damage If the airbag that provides buoyancy to the flotation device is damaged, buoyancy is lost, creating a risk of crashing to the ground. Solution The airbag is designed as follows to minimize the risk in the event of damage: i) Adoption of a compartment structure The airbag is divided into multiple independent compartments, so that even if one compartment is damaged, the other parts maintain buoyancy. This structure makes it possible to localize the reduction in buoyancy due to damage. ii) Installation of damage detection sensors The airbag is equipped with a highly sensitive damage detection sensor that can immediately detect even minute damage. This sensor identifies the damaged area and sends a signal to the automatic repair system. iii) Automatic repair mechanism The airbag incorporates an automatic repair mechanism that quickly releases repair material to the damaged area. This repair material contains special resins and shape-memory polymers, etc., and instantly seals the damaged area. iv) Built-in auxiliary airbag A small auxiliary airbag is placed inside the airbag to provide supplemental buoyancy. This auxiliary gas bag will automatically deploy if the main gas bag is severely damaged, temporarily ensuring the stability of the flotation device. v) Crash prevention measures As a solution to the risk of crashing to the ground due to loss of control, possible solutions include an automatically deploying parachute, which will automatically deploy in an emergency for safe descent, a lightweight design: reducing the weight of the flotation device's structure to minimize impact, and the selection of a safe area: selecting a safe area to avoid human casualties in the event of a communication outage and descending there. These will be handled by an autonomous navigation AI.

[0159] These features minimize the risk of gas bag rupture, significantly improving safety for the flotation device.

[0160] 3. Issues of Operational Interruption Due to Communication Failures If the floating vehicle loses communication with the ground station, it may become uncontrollable and the mission may be interrupted. Solution The following design measures will be implemented to prepare for communication failures: i) Implementation of Autonomous Navigation Function The floating vehicle will be equipped with AI that will continue to operate autonomously even if communication is lost. This AI will select a pre-set route or a safe dwelling area and continue operations. ii) Redundancy of Communication Methods Multiple communication methods such as satellite communication, wireless communication, and optical communication will be used in parallel. This will allow other methods to function as backups if one communication method fails. iii) Data Logging Function A high-capacity data logging system will be installed in the floating vehicle to prevent the loss of important data when communication is restored. This system will retain all data collected during the communication interruption and transfer it to the ground station after restoration. iv) Ensuring Communication Stability by Selecting Ground Standby or Altitude Change During Abnormal Weather Conditions Where Communication Failures are Likely to Occur Through these mechanisms, the floating vehicle can safely continue operations even if communication failures occur.

[0161] 4. Mission Failure Due to Unexpected Weather Conditions Challenges Extreme weather conditions (typhoons, extreme cold or heat, etc.) can make it difficult to operate the floating vehicle. Solutions i) Enhanced weather analysis by AI The AI ​​installed on the floating vehicle has the ability to analyze weather satellite data and ground observation data in real time and detect extreme weather conditions early. Based on the results of this analysis, it will instruct the vehicle to evacuate to a safe area. ii) Adoption of weather-resistant materials The outer shell of the floating vehicle uses weather-resistant materials that can withstand extreme temperature changes and rainfall. This material has UV resistance and waterproofing properties and maintains its performance even under harsh conditions for extended periods. iii) Avoidance by changing altitude Based on instructions from the AI, the floating vehicle will significantly change its altitude to avoid dangerous weather conditions. This function makes it possible to avoid low-altitude weather conditions such as typhoons. iv) Ensuring safety by waiting on the ground When extreme weather conditions such as typhoons are predicted, the floating vehicle can descend to a safe ground station and wait until the weather conditions stabilize. During this standby period, the design maintains energy supply and communication functions, enabling rapid restart. Furthermore, if communication with ground stations or other floating vehicles is lost due to a malfunction, or if problems occur with the propulsion system, the autonomous navigation AI will wait at a nearby ground station or on the ground and emit an emergency signal. v) Combination of altitude change and ground standby Depending on the size and path of the typhoon, the floating vehicle can choose to either raise its altitude to move into the stratosphere, which is unaffected by the typhoon, or descend to the ground and wait. This allows for flexible responses depending on the situation.

[0162] These measures increase the flotation vehicle's resilience to extreme weather conditions and improve the mission's success rate.

[0163] 5. Issues related to damage from crashes to the ground If the flotation device loses control and crashes to the ground, there is a risk of causing human and property damage. Solution i) Automatic deployment parachute system The flotation device is equipped with a parachute system that automatically deploys in emergencies. When the AI ​​detects an anomaly, this parachute activates immediately, allowing for a safe descent. ii) Lightweight design The structure of the flotation device uses lightweight materials and is designed to minimize impact on the ground. This reduces damage even in the event of a crash. iii) Selection of a safe ground area When communication is lost, the AI ​​selects a pre-set safe ground area for descent. This area has conditions set to avoid human casualties.

[0164] These designs allow the floating aircraft to minimize damage even in the worst-case scenario.

[0165] Thus, the flotation device of this embodiment can implement solutions to challenges such as energy supply, loss of buoyancy, communication failures, extreme weather, and crash risk by utilizing AI technology and redundant design. As a result, the flotation device control system becomes a technology that can be effectively operated in a variety of applications as a system with safety and reliability.

[0166] 1... Floating device control system 100, 100A, 100B, 100C, 100D, 100E, 100F, 100G, 100H, 100K... Floating device 101A, 101B, 101C, 101D, 101E, 101F, 101G, 101H, 101K... Main unit 102A, 102B, 102C, 102D, 102E, 102F, 102G, 102H, 102K... Solar panel 103A, 103B, 103C, 103D, 103E, 103F, 103G, 103H, 103K... Balloon 104A, 1034, 104C, 104D, 104E, 104F, 104G, 104H, 104K... Propeller

Claims

1. A floating machine control system for controlling a floating machine floating in the atmosphere, wherein the floating machine comprises: a power generation device that generates electricity using sunlight; a power storage device that stores the electricity generated by the power generation device; a levitation device having a balloon made of a gas lighter than the ground atmosphere; and a propulsion device that performs propulsion movement in the air using the electricity from the power storage device, the floating machine control system comprises a navigation control system that controls the levitation device and the propulsion device to move the floating machine to a destination using air currents in the atmosphere, the navigation control system instructs an AI to derive a route to reach the destination by riding the air currents on Earth, including in the calculation of the amount of electricity generated by the power generation device based on the amount of sunlight irradiated, instructs the AI ​​to derive information for controlling the levitation device and the propulsion device in order to move along the derived route, and uses the derived information to control the levitation device and the propulsion device to move the floating machine to its destination.

2. A floating machine control system according to claim 1, wherein the navigation control system can instruct the AI ​​to search for and derive a loop route that takes advantage of air currents in order to stay within a predetermined range of the destination.

3. A floating machine control system according to claim 1, wherein the navigation control system can acquire airflow information obtained from another floating machine and use the airflow information to search for the movement route.

4. A floating machine control system according to claim 1, wherein the navigation control system can acquire airflow information from another floating machine, determined from the movement speed of the other floating machine, and use the airflow information to search for the movement route.

5. A flotation device control system according to claim 1, wherein the flotation device adjusts the altitude of the flotation device by adjusting the amount of gas filled into the balloon.

6. A floating machine that floats in the atmosphere, comprising: a power generation device that generates electricity using sunlight; a power storage device that stores the electricity generated by the power generation device; a levitation device having a balloon made of a gas lighter than the ground atmosphere; a propulsion device that performs propulsion movement in the air using the electricity from the power storage device; and a navigation control system that controls the levitation device and the propulsion device to move the floating machine to a destination using air currents in the atmosphere, wherein the navigation control system instructs an AI to derive a route to reach the destination by riding the air currents on Earth, taking into account the amount of electricity generated by the power generation device based on the amount of sunlight exposure time to find a route that minimizes energy consumption; instructs the AI ​​to derive information for controlling the levitation device and the propulsion device in order to move along the derived route; and uses the derived information to control the levitation device and the propulsion device to move the floating machine to its destination.

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