Method and device for powering unmanned aerial vehicle based on hydrogen fuel cell and storage medium

Abstract

The application discloses a method and device for supplying power to unmanned aerial vehicles based on hydrogen fuel cells and a storage medium. The method comprises: obtaining load data of a target area power consumer; obtaining state information of a hydrogen fuel cell unmanned aerial vehicle in a target city, the state information at least including power information and position information; generating a power supply strategy according to the load data and the state information, the power supply strategy being used for controlling the hydrogen fuel cell unmanned aerial vehicle to supply power to the power consumer. The application solves the technical problems of unstable urban power supply and low efficiency caused by insufficient power supply capacity of the urban power grid during peak periods or slow emergency response speed in emergencies.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of unmanned aerial vehicles, in particular to a method and device for supplying power to unmanned aerial vehicles based on hydrogen fuel cells and a storage medium. BACKGROUND

[0002] With the acceleration of urbanization, urban power grids are facing increasingly severe power supply challenges, especially during peak power consumption periods, when grid load increases dramatically, leading to power shortages and even power outages. Traditional energy storage devices such as large battery packs can alleviate some of these problems, but have the disadvantages of high deployment costs and poor flexibility.

[0003] To address the above problems, no effective solutions have been proposed so far. SUMMARY

[0004] The embodiments of the present application provide a method and device for supplying power to unmanned aerial vehicles based on hydrogen fuel cells and a storage medium to at least solve the technical problems of unstable and inefficient urban power supply due to insufficient power supply capacity of urban power grids during peak periods or slow emergency response speed in emergency situations.

[0005] According to an aspect of an embodiment of the present application, a method for supplying power to unmanned aerial vehicles based on hydrogen fuel cells is provided, comprising: obtaining load data of a target area power consumer; obtaining state information of hydrogen fuel cell unmanned aerial vehicles in the target city, the state information at least including: power information, location information; generating a power supply strategy based on the load data and the state information, the power supply strategy being used to control the hydrogen fuel cell unmanned aerial vehicles to supply power to the power consumer.

[0006] Optionally, generating the power supply strategy based on the load data and the state information comprises: determining a target charging point based on the load data of the power consumer; analyzing the state information of the hydrogen fuel cell unmanned aerial vehicles based on the target charging point using an intelligent scheduling algorithm model to determine a flight path of the hydrogen fuel cell unmanned aerial vehicles; generating the power supply strategy based on the target charging point and the flight path, the power supply strategy being used to control the hydrogen fuel cell unmanned aerial vehicles to perform the flight path to charge the target charging point.

[0007] Optionally, determining the target charging point based on the load data of the power consumer comprises: determining whether the load data of the power consumer exceeds a power consumption threshold; in response to the load data of the power consumer exceeding the power consumption threshold, determining the target charging point.

[0008] Optionally, determining the target charging point based on the load data of the power consumer comprises: determining whether the load data of the power consumer is zero; in response to the load data of the power consumer being zero, determining the target charging point.

[0009] Optionally, based on the target charging point, a smart scheduling algorithm model is used to analyze the state information of the hydrogen fuel cell unmanned aerial vehicle, and the flight path of the hydrogen fuel cell unmanned aerial vehicle is determined, including: determining whether the power of the hydrogen fuel cell unmanned aerial vehicle is less than the power threshold; in response to the power of the hydrogen fuel cell unmanned aerial vehicle exceeding the power threshold, the flight path is determined.

[0010] Optionally, determining whether the power of the hydrogen fuel cell unmanned aerial vehicle is less than the power threshold includes: in response to the power of the hydrogen fuel cell unmanned aerial vehicle being less than the power threshold, a stop instruction is generated, and the stop instruction is used to control the hydrogen fuel cell unmanned aerial vehicle to stop flying.

[0011] According to another aspect of the embodiment of the present application, a device powered by a hydrogen fuel cell unmanned aerial vehicle is also provided, which comprises: a first acquisition module, configured to acquire load data of a target area power consumer; a second acquisition module, configured to acquire state information of a hydrogen fuel cell unmanned aerial vehicle in a target city, the state information at least including: power information, position information; and a power supply module, configured to generate a power supply strategy according to the load data and the state information, the power supply strategy being used to control the hydrogen fuel cell unmanned aerial vehicle to supply power to the power consumer.

[0012] According to another aspect of the embodiment of the present application, an electronic device is also provided, which comprises: a memory, storing an executable program; and a processor, configured to run the program, wherein the program performs the method in each embodiment of the present application when running.

[0013] According to another aspect of the embodiment of the present application, a computer readable storage medium is also provided, which comprises a stored executable program, wherein the computer readable storage medium controls the device where the computer readable storage medium is located to perform the method in each embodiment of the present application when the executable program runs.

[0014] According to another aspect of the embodiment of the present application, a computer program product is also provided, which comprises a computer program, and the computer program implements the method in each embodiment of the present application when executed by a processor.

[0015] According to another aspect of the embodiment of the present application, a computer program product is also provided, which comprises a non-volatile computer readable storage medium, and the non-volatile computer readable storage medium stores a computer program, and the computer program implements the method in each embodiment of the present application when executed by a processor.

[0016] According to another aspect of the embodiment of the present application, a computer program is also provided, and the computer program implements the method in each embodiment of the present application when executed by a processor.

[0017] In the embodiment of the present application, by monitoring and analyzing the load data of the target area power consumer and the state information of the hydrogen fuel cell unmanned aerial vehicle in the target city in real time, the purpose of accurately matching power demand and power supply resources is achieved, thereby realizing the technical effects of efficient and flexible city power supply and distribution, and further solving the technical problems of unstable city power supply and low efficiency caused by insufficient power supply capacity of city power grid in peak period or slow emergency response speed in emergency. BRIEF DESCRIPTION OF DRAWINGS

[0018] The drawings described herein are used to provide further understanding of the present application, and form a part of the present application. The illustrative embodiments of the present application and their descriptions serve to explain the present application, and do not constitute improper limitations on the present application. In the drawings:

[0019] Figure 1 A hardware structure block diagram of a computer terminal for implementing the method of power supply based on the hydrogen fuel cell unmanned aerial vehicle is shown;

[0020] Figure 2 is a flowchart of the method of power supply based on the hydrogen fuel cell unmanned aerial vehicle according to the embodiment of the present application;

[0021] Figure 3 is a schematic diagram of the device of power supply based on the hydrogen fuel cell unmanned aerial vehicle according to the embodiment of the present application;

[0022] Figure 4 is a flowchart of the system of power supply based on the hydrogen fuel cell unmanned aerial vehicle according to the embodiment of the present application;

[0023] Figure 5 is a structure block diagram of an electronic device according to the embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the present application.

[0025] It should be noted that the terms "first", "second", and the like in the description and in the claims of the present application and the above-described accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0026] Embodiment 1

[0027] According to the embodiments of the present application, a method embodiment for powering a hydrogen fuel cell based unmanned aerial vehicle is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0028] The method embodiment provided by the embodiment of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 A hardware structure block diagram of a computer terminal (or mobile device) for implementing a method for powering a hydrogen fuel cell based unmanned aerial vehicle is shown. As shown in Figure 1 , the computer terminal 10 (or mobile device) can include one or more processors 102 (the processor 102 can include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it can also include a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which can be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. Those skilled in the art can understand that Figure 1 The structure shown is only schematic, which does not limit the structure of the above-mentioned electronic device. For example, the computer terminal 10 can include more or fewer components than those shown in Figure 1 , or have a different configuration than that shown in Figure 1 .

[0029] It should be noted that the one or more processors 102 and / or other data processing circuitry described above can be referred to herein generally as "data processing circuitry". The data processing circuitry can be embodied in whole or in part as software, hardware, firmware, or any combination thereof. Furthermore, the data processing circuitry can be a single standalone processing module, or incorporated in whole or in part within any of the other elements of the computer terminal 10 (or mobile device). As referred to in embodiments of the present application, the data processing circuitry functions as a processor to control, for example, selection of the variable resistance terminal path in connection with the interface.

[0030] The memory 104 can be used to store software programs of application software and modules, such as program instructions / data storage means corresponding to the Z method in embodiments of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, i.e. implements the Z method described above. The memory 104 can include a high-speed random access memory, and can further include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 can further include a memory disposed remotely with respect to the processor 102, which can be connected to the computer terminal 10 through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0031] The transmission device 106 is used to receive or send data via a network. Specific examples of the network can include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device 106 includes a network interface controller (NIC) that can be connected to other network devices through a base station to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module used to communicate with the Internet in a wireless manner.

[0032] The display can be, for example, a touch screen type liquid crystal display (LCD) that enables a user to interact with the user interface of the computer terminal 10 (or mobile device).

[0033] In the above operating environment, the present application provides a method for powering an unmanned aerial vehicle based on a hydrogen fuel cell as shown in Figure 2 Figure 2 is a flowchart of a method for powering an unmanned aerial vehicle based on a hydrogen fuel cell according to Embodiment 1 of the present application.

[0034] In step S101, load data of a target area power consumer is acquired.

[0035] ​In step S101, the power consumer described above can be a family, a commercial building, or a public setting. The load data is used to represent the power consumption data of the power consumer. The power consumption data can be collected by a smart meter or a sensor installed in the power consumer.

[0036] In step S102, state information of hydrogen fuel cell drones in the target city is obtained, and the state information at least includes: power information, location information.

[0037] In step S102, the hydrogen fuel cell drones described above are multiple, and the state information further includes: the health status of the hydrogen fuel cell drones. The sensors and communication devices on the drones are used to monitor and upload these information to the central dispatching system in real time.

[0038] In step S103, a power supply strategy is generated according to the load data and the state information, and the power supply strategy is used to control the hydrogen fuel cell drones to supply power to the power consumer.

[0039] In step S103, it is necessary to first identify which power consumer has a high load and needs emergency power supply; determine which drone has sufficient power and is suitable for location to be dispatched to perform the power supply task; plan the optimal flight path for the selected drone to ensure that it reaches the destination in the shortest time and with the least power consumption; and reasonably allocate the power supply task according to the load capacity of the drone and the urgency of the demand.

[0040] Through the above steps, by monitoring and analyzing the load data of the power consumer in the target area and the state information of the hydrogen fuel cell drones in the target city in real time, the purpose of accurately matching the power demand and the power supply resource is achieved, thereby realizing the technical effects of efficient and flexible urban power supply and distribution, and solving the technical problems of unstable urban power supply and low efficiency caused by insufficient power supply capacity of the urban power grid during peak periods or slow emergency response speed in emergency events.

[0041] Specifically, the hydrogen fuel cell system carried by the drone platform realizes efficient conversion and supply of clean energy, and combined with the intelligent dispatching algorithm, the optimal flight path and power supply strategy can be automatically planned according to the dynamic changes of the power load and the real-time state of the drone. This intelligent dispatching not only improves the timeliness and accuracy of power supply, but also effectively avoids the problems of long deployment cycle, high cost, and poor flexibility existing in traditional power supply methods. In addition, the method also enhances the emergency response capability of the system through advance prediction and dynamic adjustment of the strategy, ensuring stable and reliable power support in various situations.

[0042] Optionally, in the method for power supply based on hydrogen fuel cell drones provided in the embodiments of the present application, the power supply strategy is generated according to the load data and the state information, including:

[0043] Step S1031, determine the target charging point based on the load data of the electricity user;

[0044] In step S1031, by collecting and analyzing the load data of the target area electricity user, the system can identify which areas or devices have the most urgent power demand and need priority power supply. The key of this step is to accurately judge and predict the electricity demand, so as to determine the effective target charging point.

[0045] Step S1032, based on the target charging point, the state information of the hydrogen fuel cell unmanned aerial vehicle is analyzed by using the intelligent scheduling algorithm model, and the flight path of the hydrogen fuel cell unmanned aerial vehicle is determined;

[0046] In step S1032, after determining the target charging point, the system needs to evaluate the state of all available hydrogen fuel cell unmanned aerial vehicles, including power, location, health status, etc., and based on the intelligent scheduling algorithm model, the optimal flight path is planned for each unmanned aerial vehicle. The algorithm for optimizing the flight path will consider many factors, such as whether the current power of the unmanned aerial vehicle is sufficient to reach the target charging point and complete the charging task, the shortest distance and time of the flight route, and potential obstacles and flight safety on the route. Through dynamic adjustment and multi-objective optimization, it ensures that the unmanned aerial vehicle can complete the task with the lowest energy consumption and the highest efficiency.

[0047] Step S1033, based on the target charging point and the flight path, a power supply strategy is generated, which is used to control the hydrogen fuel cell unmanned aerial vehicle to perform the flight path to the target charging point.

[0048] In step S1033, the above-mentioned power supply strategy can specify the take-off time, flight path, estimated arrival time, charging operation process and possible emergency measures of the unmanned aerial vehicle. Through precise control, the power supply strategy ensures that the unmanned aerial vehicle can smoothly and safely reach the target charging point, perform the charging task, and then return or continue the next task. This strategy fully considers the continuity of the flight task and the rational use of unmanned aerial vehicle resources, avoiding resource waste and task conflicts.

[0049] Through the above steps, through real-time data analysis and intelligent algorithm decision, the best effect of hydrogen fuel cell unmanned aerial vehicle power supply is realized, solving the problems of slow response speed and uneven resource allocation in traditional urban power supply methods.

[0050] Optionally, in the method for supplying power based on the hydrogen fuel cell unmanned aerial vehicle provided in the embodiments of the present application, the target charging point is determined based on the load data of the electricity user, comprising:

[0051] Step S10311, judging whether the load data of the electricity user exceeds the electricity threshold;

[0052] In step S10311, the above-mentioned electricity consumption threshold is a pre-set index to distinguish between normal electricity consumption state and high pressure state. When the load data of the electricity consumption body exceeds this threshold, it indicates that the power demand of the region or device has exceeded the carrying capacity of the conventional power supply system, and may face the risk of power shortage. By continuously monitoring and comparing the load data and the threshold, the system can quickly find the electricity consumption body with abnormal power demand, providing a basis for subsequent determination of the target charging point.

[0053] In step S10312, in response to the load data of the electricity consumption body exceeding the electricity consumption threshold, the target charging point is determined.

[0054] In step S10312, once it is determined that the load data of a certain electricity consumption body exceeds the set electricity consumption threshold, the system needs to take action immediately to determine the target charging point that needs to be supplemented with power. The selection of the target charging point is based on multiple factors, including but not limited to: the location of the electricity consumption body, ensuring that the flight distance and time of the UAV are reasonable; the urgency of electricity consumption, giving priority to regions with the most serious load overload or the most urgent need for power; the current distribution and state of the UAV, selecting the UAV closest to the target electricity consumption body and with sufficient power, to improve response speed and efficiency; the availability and capacity of the charging point, to ensure that the UAV can land safely and that there are enough charging facilities to support the power supply of the UAV.

[0055] Through the above steps, a demand-oriented scheduling mechanism is constructed, which can monitor the load state of the electricity consumption body in real time, quickly determine the region with high power demand, and efficiently deploy hydrogen fuel cell UAVs for power supplementation, effectively solving the technical problem of insufficient power supply capacity of urban power grids during peak periods or sudden situations, and improving the stability and emergency response capability of power supply.

[0056] Optionally, in the method for supplying power based on hydrogen fuel cell UAVs provided in the embodiments of the present application, the target charging point is determined based on the load data of the electricity consumption body, comprising:

[0057] In step S10313, it is determined whether the load data of the electricity consumption body is zero;

[0058] In step S10313, the load data of the electricity consumption body is zero, indicating that the electricity consumption body is in a power-off state, and the hydrogen fuel cell UAV is urgently needed to charge the electricity consumption body.

[0059] In step S10314, in response to the load data of the electricity consumption body being zero, the target charging point is determined.

[0060] In step S10314, once the monitoring system identifies that the load data of a certain power user is zero, i.e. in a power outage state, the system immediately responds to determine the target charging point of the power user or the nearby area as the emergency power supply target. The hydrogen fuel cell unmanned aerial vehicle is dispatched to the target charging point at this time to quickly restore power supply. When selecting the target charging point, the system will comprehensively consider the location, power state and shortest path to the target charging point of the unmanned aerial vehicle to ensure that the power supply is completed in the shortest time.

[0061] Through the above steps, the power outage event can be quickly identified and responded to, and the efficient power conversion and flexible movement characteristics of the hydrogen fuel cell unmanned aerial vehicle are used to provide timely power support for the power user.

[0062] Optionally, in the method for power supply based on the hydrogen fuel cell unmanned aerial vehicle provided in the embodiments of the present application, the state information of the hydrogen fuel cell unmanned aerial vehicle is analyzed based on the target charging point by using an intelligent scheduling algorithm model to determine the flight path of the hydrogen fuel cell unmanned aerial vehicle, including:

[0063] In step S10321, it is determined whether the power of the hydrogen fuel cell unmanned aerial vehicle is less than the power threshold.

[0064] In step S10321, before determining the flight path, the intelligent scheduling algorithm first needs to check whether the power of the hydrogen fuel cell unmanned aerial vehicle meets the minimum requirement for executing the task, i.e. whether the power is less than the power threshold set in advance. The power threshold is a value determined comprehensively according to the performance of the unmanned aerial vehicle, the flight distance, the task power consumption and the safety redundancy, etc. If the power of the unmanned aerial vehicle is lower than the threshold, it means that the unmanned aerial vehicle cannot complete the flight from the current location to the target charging point.

[0065] In step S10322, the flight path is determined in response to the power of the hydrogen fuel cell unmanned aerial vehicle exceeding the power threshold.

[0066] In step S10322, when the system detects that the power of a certain hydrogen fuel cell unmanned aerial vehicle exceeds the power threshold, it means that the unmanned aerial vehicle has the ability to execute the flight and power supply task. At this time, the intelligent scheduling algorithm will plan the optimal flight path according to the current location of the unmanned aerial vehicle and the location of the target charging point, as well as the real-time data in the urban environment (such as weather conditions, flight restrictions, flight paths of other unmanned aerial vehicles, etc.). The determination of the optimal path needs to consider factors such as flight distance, time, safety and energy consumption efficiency to ensure that the unmanned aerial vehicle can safely arrive at the target charging point in the shortest time with the minimum energy consumption and complete the power supply task.

[0067] Through the above steps, it is ensured that the unmanned aerial vehicle is in good condition before performing the task, and the task failure and safety hazards caused by insufficient power are avoided. At the same time, the path planning of the intelligent scheduling algorithm further improves the operation efficiency of the unmanned aerial vehicle, and ensures the rapid response and reasonable allocation of power supply.

[0068] Optionally, in the method for supplying power based on the hydrogen fuel cell unmanned aerial vehicle provided in the embodiments of the present application, the judgment on whether the power of the hydrogen fuel cell unmanned aerial vehicle is less than the power threshold comprises:

[0069] In step S10323, in response to the power of the hydrogen fuel cell unmanned aerial vehicle being less than the power threshold, a stop instruction is generated, and the stop instruction is used to control the hydrogen fuel cell unmanned aerial vehicle to stop flying.

[0070] In step S10323, when the intelligent scheduling system monitors that the power of a certain hydrogen fuel cell unmanned aerial vehicle is lower than the set power threshold, it usually means that the remaining power of the unmanned aerial vehicle is insufficient to safely complete the current task or return to the base, and continuing to fly may cause the power to be depleted, thereby causing flight safety problems such as unmanned aerial vehicle out of control, falling, etc., and even may cause the task to fail, and cannot effectively supplement power to the target charging point.

[0071] Through the above steps, by executing the stop instruction, the system can timely and effectively handle the insufficient power condition, protect the safety of the unmanned aerial vehicle, and at the same time ensure the continuity and efficiency of the power supply task.

[0072] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a group of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0073] Embodiment 2

[0074] The embodiments of the present application also provide a device for supplying power based on a hydrogen fuel cell unmanned aerial vehicle. It should be noted that the device for supplying power based on a hydrogen fuel cell unmanned aerial vehicle according to the embodiments of the present application can be used to execute the method for supplying power based on a hydrogen fuel cell unmanned aerial vehicle provided by the embodiments of the present application. The device for supplying power based on a hydrogen fuel cell unmanned aerial vehicle provided by the embodiments of the present application is introduced as follows.

[0075] According to the embodiments of the present application, a device for implementing the above-mentioned method for supplying power based on a hydrogen fuel cell unmanned aerial vehicle is also provided, such as Figure 3As shown, the device comprises: a first acquisition module 201, the first acquisition module 201 is used for acquiring load data of a target area electricity user; a second acquisition module 202, the second acquisition module 202 is used for acquiring state information of a hydrogen fuel cell unmanned aerial vehicle in a target city, and the state information at least includes: power information, position information; a power supply module 203, the power supply module 203 is used for generating a power supply strategy according to the load data and the state information, and the power supply strategy is used for controlling the hydrogen fuel cell unmanned aerial vehicle to supply power to the electricity user.

[0076] The device based on the hydrogen fuel cell unmanned aerial vehicle power supply provided by the embodiment of the application realizes the technical effects of efficient and flexible urban power supply and distribution by monitoring and analyzing the load data of the target area electricity user and the state information of the hydrogen fuel cell unmanned aerial vehicle in the target city in real time, so as to realize the purpose of accurately matching the power demand and the power supply resource, and further solve the technical problems of unstable urban power supply and low efficiency caused by insufficient power supply capacity of the urban power grid in the peak period or slow emergency response speed in the emergency event.

[0077] Optionally, in the device based on the hydrogen fuel cell unmanned aerial vehicle power supply provided by the embodiment of the application, the power supply module 203 comprises: a first determination module, a second determination module, and a power supply module, wherein the first determination module is used for determining a target charging point based on the load data of the electricity user; the second determination module is used for analyzing the state information of the hydrogen fuel cell unmanned aerial vehicle by using an intelligent scheduling algorithm model based on the target charging point, and determining a flight path of the hydrogen fuel cell unmanned aerial vehicle; and the power supply module is used for generating a power supply strategy based on the target charging point and the flight path, and the power supply strategy is used for controlling the hydrogen fuel cell unmanned aerial vehicle to perform the flight path to charge the target charging point.

[0078] Optionally, in the device based on the hydrogen fuel cell unmanned aerial vehicle power supply provided by the embodiment of the application, the first determination module comprises: a first judgment module and a first determination submodule, the first judgment module is used for judging whether the load data of the electricity user exceeds an electricity consumption threshold value; and the first determination submodule is used for determining the target charging point in response to the load data of the electricity user exceeding the electricity consumption threshold value.

[0079] Optionally, in the device based on the hydrogen fuel cell unmanned aerial vehicle power supply provided by the embodiment of the application, the first determination module comprises: a second judgment module and a second determination submodule, the second judgment module is used for judging whether the load data of the electricity user is zero; and the second determination submodule is used for determining the target charging point in response to the load data of the electricity user being zero.

[0080] Optionally, in the device powered by the hydrogen fuel cell unmanned aerial vehicle provided in the embodiment of the application, the second determination module comprises: a third determination module and a third determination submodule, the third determination module is configured to determine whether the power of the hydrogen fuel cell unmanned aerial vehicle is less than the power threshold, and the third determination submodule is configured to determine the flight path in response to the power of the hydrogen fuel cell unmanned aerial vehicle exceeding the power threshold.

[0081] Optionally, in the device powered by the hydrogen fuel cell unmanned aerial vehicle provided in the embodiment of the application, the third determination module comprises: a stop flight module, the stop flight module is configured to generate a stop instruction in response to the power of the hydrogen fuel cell unmanned aerial vehicle being less than the power threshold, and the stop instruction is configured to control the hydrogen fuel cell unmanned aerial vehicle to stop flying.

[0082] It should be noted that the first acquisition module 201, the second acquisition module 202, and the power supply module 203 correspond to steps S101 to S103 in Embodiment 1, and the three modules have the same instances and application scenarios as the corresponding steps, but are not limited to the content disclosed in Embodiment 1. It should be noted that the above modules or units can be hardware components or software components stored in a memory (for example, the memory 104) and processed by one or more processors (for example, the processors 102a, 102b, …, 102n), and the above modules can also be run in the computer terminal 10 provided in Embodiment 1 as a part of the device.

[0083] Embodiment 3

[0084] The embodiment of the application also provides a system powered by a hydrogen fuel cell unmanned aerial vehicle, as shown in the figure, the system comprises: a hydrogen fuel cell system, an intelligent scheduling system, a power transmission and reception device, and a safety guarantee and monitoring system. Figure 4

[0085] Hydrogen fuel cell system: advanced hydrogen fuel cell technology is adopted to realize efficient and clean energy conversion. The fuel cell system converts hydrogen and oxygen into electricity and water through chemical reaction, and the heat generated can be used for auxiliary unmanned aerial vehicle insulation or other purposes.

[0086] Intelligent scheduling system: an intelligent scheduling algorithm is developed to monitor the load condition of the urban power grid, the power state and position information of the unmanned aerial vehicle in real time, and automatically plan the flight path and charging target point of the unmanned aerial vehicle. When it is detected that the power grid load is too high or a specific area urgently needs power, the scheduling system can quickly dispatch the unmanned aerial vehicle to the area for power supply.

[0087] ​Power transmission and reception devices: Power transmission modules, such as wireless charging devices or wired cables, are installed on the drone, and corresponding power receiving devices are set up at the target charging point. After the drone reaches the designated location, it can transmit power to the target device or power grid wirelessly or via wired means.

[0088] Safety and Monitoring System: Equipping the drone with a comprehensive flight safety system and remote monitoring system to ensure the drone's safety and stability during flight. Simultaneously, through real-time data transmission and remote control technology, it enables real-time monitoring of the drone's status and emergency intervention.

[0089] A system powered by hydrogen fuel cell drones integrates high-efficiency hydrogen fuel cells and intelligent scheduling algorithms, enabling flexible drone movement and power supply within urban areas, providing a new solution for urban energy supply. This system boasts advantages such as high efficiency, cleanliness, and flexibility, improving energy utilization efficiency, alleviating grid pressure, and enhancing emergency response capabilities.

[0090] Example 4

[0091] Embodiments of this application may provide an electronic device. Figure 5 This is a structural block diagram of an electronic device according to an embodiment of this application. Figure 5 As shown, the electronic device may include: one or more ( Figure 5 (Only one is shown) processor 1002, memory 1004, memory controller, and peripheral interface, wherein the peripheral interface is connected to the radio frequency module, audio module and display.

[0092] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the methods and apparatus in the embodiments of this application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby implementing the above-described methods. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0093] The processor can access information and applications stored in memory via a transfer device to perform the following steps:

[0094] Step S101: Obtain load data of the main electricity users in the target area;

[0095] Step S102, obtaining state information of the hydrogen fuel cell unmanned aerial vehicle in the target city, the state information at least including: power information, position information;

[0096] Step S103, generating a power supply strategy according to the load data and the state information, the power supply strategy being used to control the hydrogen fuel cell unmanned aerial vehicle to supply power to the power consumption subject.

[0097] The processor can also call information and application programs stored in the memory through the transmission device to perform the following steps: generating a power supply strategy according to the load data and the state information, including:

[0098] Step S1031, determining a target charging point based on the load data of the power consumption subject;

[0099] Step S1032, analyzing the state information of the hydrogen fuel cell unmanned aerial vehicle based on the target charging point by using an intelligent scheduling algorithm model to determine a flight path of the hydrogen fuel cell unmanned aerial vehicle;

[0100] Step S1033, generating a power supply strategy based on the target charging point and the flight path, the power supply strategy being used to control the hydrogen fuel cell unmanned aerial vehicle to perform the flight path to charge the target charging point.

[0101] The processor can also call information and application programs stored in the memory through the transmission device to perform the following steps: determining a target charging point based on the load data of the power consumption subject, including:

[0102] Step S10311, judging whether the load data of the power consumption subject exceeds a power consumption threshold;

[0103] Step S10312, determining the target charging point in response to the load data of the power consumption subject exceeding the power consumption threshold.

[0104] The processor can also call information and application programs stored in the memory through the transmission device to perform the following steps: determining a target charging point based on the load data of the power consumption subject, including:

[0105] Step S10313, judging whether the load data of the power consumption subject is zero;

[0106] Step S10314, determining the target charging point in response to the load data of the power consumption subject being zero.

[0107] The processor can also call information and application programs stored in the memory through the transmission device to perform the following steps: analyzing the state information of the hydrogen fuel cell unmanned aerial vehicle based on the target charging point by using an intelligent scheduling algorithm model to determine a flight path of the hydrogen fuel cell unmanned aerial vehicle, including:

[0108] Step S10321: Determine whether the power of the hydrogen fuel cell drone is less than the power threshold.

[0109] Step S10322: In response to the hydrogen fuel cell drone's battery power exceeding the battery threshold, a flight path is determined.

[0110] The processor can also access information and applications stored in the memory via a transmission device to perform the following steps: determining whether the hydrogen fuel cell drone's battery power is less than a power threshold, including:

[0111] Step S10323: In response to the hydrogen fuel cell drone's power being less than the power threshold, a stop command is generated. The stop command is used to control the hydrogen fuel cell drone to stop flying.

[0112] This application provides a solution for powering unmanned aerial vehicles (UAVs) based on hydrogen fuel cells. By real-time monitoring and analysis of the load data of electricity users in the target area and the status information of hydrogen fuel cell UAVs in the target city, the goal of accurately matching power demand with power supply resources is achieved. This results in efficient and flexible urban power supplementation and distribution, thereby solving the technical problems of unstable and inefficient urban power supply caused by insufficient power supply capacity of the urban power grid during peak hours or slow emergency response speed in the event of a sudden incident.

[0113] Those skilled in the art will understand that Figure 5 The structure shown is for illustrative purposes only. Electronic devices can also be smartphones (such as Android phones, iOS phones, etc.), tablets, PDAs, mobile Internet Devices (MIDs), PADs, and other terminal devices. Figure 5 This does not limit the structure of the aforementioned electronic device. For example, electronic devices may also include components that are more... Figure 5 The more or fewer components shown (such as network interfaces, display devices, etc.), or having the same Figure 5 The different configurations shown.

[0114] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a computer-readable storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0115] Example 5

[0116] The embodiment of the present application also provides a storage medium. Optionally, in the embodiment, the storage medium can be used to save the program code executed by the method for supplying power based on the hydrogen fuel cell unmanned aerial vehicle provided in the embodiment one.

[0117] Optionally, in the embodiment, the storage medium can be configured to store the computer program for executing the following steps:

[0118] Step S101: acquiring load data of a power consumer in a target region;

[0119] Step S102: acquiring state information of the hydrogen fuel cell unmanned aerial vehicle in the target city, and the state information at least includes power information and position information.

[0120] Step S103: generating a power supply strategy according to the load data and the state information, and the power supply strategy is used to control the hydrogen fuel cell unmanned aerial vehicle to supply power to the power consumer.

[0121] Optionally, in the embodiment, the storage medium can be located in any one of computer terminals in a computer terminal group in a computer network or any one of mobile terminals in a mobile terminal group.

[0122] Optionally, in the embodiment, the storage medium can include but is not limited to a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk and various storage media that can store computer programs.

[0123] Embodiment 6

[0124] The present application also provides a computer program product adapted to execute the steps of the method for supplying power based on the hydrogen fuel cell unmanned aerial vehicle when executed on a data processing device.

[0125] Optionally, in the embodiment, the computer program product can be configured to execute the following steps:

[0126] Step S101: acquiring load data of a power consumer in a target region;

[0127] Step S102: acquiring state information of the hydrogen fuel cell unmanned aerial vehicle in the target city, and the state information at least includes power information and position information.

[0128] Step S103: generating a power supply strategy according to the load data and the state information, and the power supply strategy is used to control the hydrogen fuel cell unmanned aerial vehicle to supply power to the power consumer.

[0129] The above embodiment numbers of the present application are only for description, and do not represent the advantages or disadvantages of the embodiments.

[0130] In the above embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0131] In the several embodiments provided by the present application, it should be understood that the disclosed technology can be implemented in other ways. Of course, the unit embodiment described above is only illustrative, and for example, the division of units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, unit or module, and can be electrical or other forms.

[0132] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they can be located in one place, or they can be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0133] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The above integrated unit can be realized in the form of hardware or in the form of software functional unit.

[0134] If the integrated unit is realized in the form of software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of software product, and the computer software product is stored in a storage medium, including a plurality of instructions to make a computer device (which can be a personal computer, a server or a network device, etc.) execute all or part of the steps of the embodiments of the present application. The foregoing storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and various program codes that can be stored in the medium.

[0135] The above merely preferred embodiments of the present application, it should be noted that for those of ordinary skill in the art, without departing from the principles of the present application, can make several improvements and refinements, these improvements and refinements should also be considered as the scope of protection of the present application.

Claims

1. A method for powering an unmanned aerial vehicle based on hydrogen fuel cells, characterized in that, The method comprises the following steps: obtaining load data of a target area power consumer; obtaining state information of a hydrogen fuel cell unmanned aerial vehicle in a target city, the state information at least including: power information, location information; generating a power supply strategy according to the load data and the state information, the power supply strategy being used to control the hydrogen fuel cell unmanned aerial vehicle to supply power to the power consumer; generating the power supply strategy according to the load data and the state information, comprising: determining a target charging point based on the load data of the power consumer; analyzing the state information of the hydrogen fuel cell unmanned aerial vehicle based on the target charging point by using an intelligent scheduling algorithm model to determine a flight path of the hydrogen fuel cell unmanned aerial vehicle; generating the power supply strategy based on the target charging point and the flight path, the power supply strategy being used to control the hydrogen fuel cell unmanned aerial vehicle to perform the flight path to charge the target charging point; determining the target charging point based on the load data of the power consumer, comprising: judging whether the load data of the power consumer is zero; determining the target charging point in response to the load data of the power consumer being zero.

2. The method for powering unmanned aerial vehicles based on hydrogen fuel cells according to claim 1, characterized in that, determining the target charging point based on the load data of the power consumer, comprising: judging whether the load data of the power consumer exceeds a power consumption threshold; determining the target charging point in response to the load data of the power consumer exceeding the power consumption threshold.

3. The method for powering unmanned aerial vehicles based on hydrogen fuel cells according to claim 1, characterized in that, analyzing the state information of the hydrogen fuel cell unmanned aerial vehicle based on the target charging point by using an intelligent scheduling algorithm model to determine a flight path of the hydrogen fuel cell unmanned aerial vehicle, comprising: judging whether the power of the hydrogen fuel cell unmanned aerial vehicle is less than a power threshold; determining the flight path in response to the power of the hydrogen fuel cell unmanned aerial vehicle exceeding the power threshold.

4. The method for powering unmanned aerial vehicles based on hydrogen fuel cells according to claim 1, characterized in that, judging whether the power of the hydrogen fuel cell unmanned aerial vehicle is less than a power threshold, comprising: generating a stop instruction in response to the power of the hydrogen fuel cell unmanned aerial vehicle being less than the power threshold, the stop instruction being used to control the hydrogen fuel cell unmanned aerial vehicle to stop flying.

5. A device powered by a hydrogen fuel cell based drone, characterized in that, The method comprises the following steps: a first obtaining module is used to obtain load data of a target area power consumer; a second obtaining module is used to obtain state information of a hydrogen fuel cell unmanned aerial vehicle in a target city, the state information at least including: power information, location information; a power supply module is used to generate a power supply strategy according to the load data and the state information, the power supply strategy being used to control the hydrogen fuel cell unmanned aerial vehicle to supply power to the power consumer; generating the power supply strategy according to the load data and the state information, comprising: determining a target charging point based on the load data of the power consumer; analyzing the state information of the hydrogen fuel cell unmanned aerial vehicle based on the target charging point by using an intelligent scheduling algorithm model to determine a flight path of the hydrogen fuel cell unmanned aerial vehicle; generate the power supply strategy based on the target charging point and the flight path, the power supply strategy being used to control the hydrogen fuel cell unmanned aerial vehicle to perform the flight path to charge the target charging point; determine the target charging point based on the load data of the power consumption subject, including: determining whether the load data of the power consumption subject is zero; determining the target charging point in response to the load data of the power consumption subject being zero.

6. An electronic device, comprising: including: a memory storing an executable program; a processor configured to run the program, wherein the program performs the method of any one of claims 1 to 4 when running.

7. A computer-readable storage medium, characterized in that, The computer readable storage medium includes a stored executable program, wherein the executable program controls the device where the storage medium is located to perform the method of any one of claims 1 to 4 when running.

8. A computer program product, characterised in that, including a computer program, the computer program being executed by a processor to implement the method of any one of claims 1 to 4.

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