Outdoor energy supply method integrated with Beidou positioning and photovoltaic energy storage mobile fireproof power supply

Abstract

The invention discloses an outdoor energy supply method integrated with Beidou positioning and a photovoltaic energy storage mobile fireproof power supply, and relates to the technical field of outdoor energy supply, and the method comprises the steps: developing micro-control areas, carrying out the cascading, and deploying the micro-control areas in a central control chip in an embedded manner; self-sampling of the environment data is executed, a real-time energy supply task is generated in combination with the consumption requirement and the energy supply state, and the real-time energy supply task comprises an energy management dimension and a function control dimension; decomposing and packaging the real-time energy supply task according to function guidance, importing the real-time energy supply task into the micro control area to execute a multi-area parallel decision, and determining a pre-control strategy; the pre-control strategy responds to a functional component of the photovoltaic energy storage mobile fireproof power supply, and task response control is executed. The technical problems that in the prior art, a mobile power supply cannot meet the long-time field power utilization requirement, and effective positioning and help seeking means are lacked when the mobile power supply encounters danger or gets lost in the field are solved, and the technical effect of improving the safety and reliability of field activities is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of outdoor energy supply, and particularly to an outdoor energy supply method integrating Beidou positioning and a photovoltaic energy storage mobile fireproof power supply. Background Art

[0002] Most of the existing mobile power supplies rely on traditional battery energy storage and cannot meet the long-term electricity demand in the wild. Especially in the wild environment, such as shelters, forest farms or outdoor play areas, due to the lack of continuous power supply, once the power runs out, the mobile power supply cannot continue to be used and cannot provide charging or other power requirements for users. In addition, when encountering danger or getting lost in the wild, the existing devices lack effective positioning and distress functions and cannot provide help in case of emergency, and cannot meet multiple requirements such as long-term power supply, positioning and distress at the same time. Summary of the Invention

[0003] The present application provides an outdoor energy supply method integrating Beidou positioning and a photovoltaic energy storage mobile fireproof power supply, which is used to solve the technical problems that the existing mobile power supply cannot meet the long-term electricity demand in the wild and lacks effective positioning and distress means when encountering danger or getting lost in the wild.

[0004] In view of the above problems, the present application provides an outdoor energy supply method integrating Beidou positioning and a photovoltaic energy storage mobile fireproof power supply.

[0005] In the first aspect of the present application, an outdoor energy supply method integrating Beidou positioning is provided, and the method includes:

[0006] Guided by the functions of the photovoltaic energy storage mobile fireproof power supply, a micro-control area is developed and cascaded, and is embedded in the central control chip; self-sampling of environmental data is performed, and combined with the consumption demand and energy supply status, a real-time energy supply task is generated, where the real-time energy supply task includes an energy management dimension and a function control dimension; the real-time energy supply task is decomposed and encapsulated according to the function orientation, and imported into the micro-control area to perform multi-area parallel decision-making to determine a pre-control strategy; the pre-control strategy responds to the functional components of the photovoltaic energy storage mobile fireproof power supply to perform task response control.

[0007] In the second aspect of the present application, a photovoltaic energy storage mobile fireproof power supply is provided, including:

[0008] The photovoltaic energy storage mobile fireproof power supply includes: a box body and functional components; the functional components at least include a charging component, a lighting component, a Beidou positioning component and an SOS switch; among them, the charging component, the Beidou positioning component, the lighting component and the SOS switch are distributedly deployed on the box body, and the charging component includes a multi-functional component array.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] Guided by the functions of the photovoltaic energy storage mobile fire-proof power supply, this application develops a micro-control area and cascades it, and embeds it in the central control chip for deployment; it performs self-sampling of environmental data, combines the consumption demand and the power supply status to generate a real-time power supply task, where the real-time power supply task includes an energy management dimension and a function control dimension; decomposes and encapsulates the real-time power supply task according to the function orientation, and imports it into the micro-control area to execute multi-area parallel decision-making to determine the pre-control strategy; the pre-control strategy responds to the functional components of the photovoltaic energy storage mobile fire-proof power supply to execute task response control. This invention solves the technical problems of the existing mobile power supply that cannot meet the long-term outdoor power consumption needs and lacks effective positioning and distress means when encountering danger or getting lost in the wild. By combining the photovoltaic energy storage power supply to provide continuous and stable power supply, positioning and sending distress signals, it achieves the technical effects of meeting the long-term outdoor power consumption needs, providing positioning and distress functions in case of emergency, and improving the safety and reliability of outdoor activities. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0012] Figure 1 It is a schematic flowchart of an outdoor power supply method integrating Beidou positioning provided by an embodiment of this application;

[0013] Figure 2 It is a schematic structural diagram of a photovoltaic energy storage mobile fire-proof power supply provided by an embodiment of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] By providing an outdoor power supply method integrating Beidou positioning and a photovoltaic energy storage mobile fire-proof power supply, this application aims to solve the technical problems of the existing mobile power supply that cannot meet the long-term outdoor power consumption needs and lacks effective positioning and distress means when encountering danger or getting lost in the wild. By combining the photovoltaic energy storage power supply to provide continuous and stable power supply, positioning and sending distress signals, it achieves the technical effects of meeting the long-term outdoor power consumption needs, providing positioning and distress functions in case of emergency, and improving the safety and reliability of outdoor activities.

[0015] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0016] It should be noted that any variations of the terms "including" and "having" are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products, or devices.

[0017] Embodiment 1, as Figure 1 shown, the present application provides an outdoor energy supply method integrating Beidou positioning, and the method includes:

[0018] Step S100: Guided by the functions of the photovoltaic energy storage mobile fire prevention power supply, develop a micro-control area and cascade it, and embed it in the central control chip.

[0019] In the embodiments of the present application, guided by the functions of the photovoltaic energy storage mobile fire prevention power supply, first, according to the requirements of photovoltaic power generation, energy storage, and fire safety, multiple micro-control areas are developed. Each micro-control area is specifically responsible for controlling different functional modules in the power supply, such as photovoltaic panels, energy storage batteries, and charging interfaces. These micro-control areas are organized in a cascaded manner to form a hierarchical control structure. The cascaded design ensures that each micro-control area can independently execute specific tasks, and at the same time, improve the overall efficiency through collaborative work. Each micro-control area is responsible for local decision-making and task control, and completes more complex function management through cooperation with other micro-control areas. All micro-control areas are embedded in the central control chip, enabling all control and scheduling tasks to be completed in real time at the hardware level, avoiding the intervention of external computers, and improving the response speed and reliability.

[0020] Furthermore, in the method provided by the embodiments of the application, when developing the micro-control area and cascading it and embedding it in the control center, it further includes:

[0021] Determine the single-thread control logic of the energy transfer network and each functional component, where the energy transfer network includes a self-driven energy network and an external energy network; develop the micro-control area and cascade it according to the single-thread control logic and the energy transfer network, where the micro-control area corresponds to the functional component one by one, and the micro-control area is extensible.

[0022] In the embodiment of this application, first, the single-thread control logic of the energy transfer network and each functional component is determined. Among them, the energy transfer network includes a self-powered energy network and an external energy network. The self-powered energy network is realized by combining photovoltaic panels and energy storage batteries. The photovoltaic panels convert solar energy into electrical energy and store it in the battery through a charge controller. The battery provides electrical energy to different functional modules inside the system as needed during the process of storing electrical energy, such as the lighting system and the USB charging interface. The external energy network allows the device to output the stored electrical energy to external devices through USB or AC interfaces, or to charge from an external source (such as the mains). This energy transfer network ensures that the device can supply power autonomously or exchange electrical energy with an external system in different environments.

[0023] The single-thread control logic of the energy transfer network and each functional component is a commonly used task scheduling method, which ensures that only one control task is executed at any given time. Specifically, the single-thread control logic executes each task in sequence, such as monitoring the power generation of the photovoltaic panels, checking the battery level of the energy storage battery, adjusting the current output of the charging interface, etc. Each task is executed after the previous task is completed.

[0024] Subsequently, based on the single-thread control logic and the energy transfer network, the micro-control area is developed and cascaded. The micro-control area is a small, embedded control unit that is responsible for managing and controlling the operation of specific functional modules. Each micro-control area corresponds to a specific functional component, such as a photovoltaic panel, an energy storage battery, a charging interface, etc. The tasks of each micro-control area are completed in sequence according to the single-thread control logic, and there is no parallel conflict between them. In a multi-functional system, the cascade design means connecting multiple micro-control areas in a certain order to form a hierarchical control structure. Each micro-control area can not only operate independently but also cooperate with other micro-control areas to achieve the overall coordination of the system.

[0025] In addition, the micro-control area is designed to be expandable, that is, when new functions are needed, the system can be expanded by adding new micro-control areas without affecting the operation of the original functional modules. For example, when a new sensor module or other external devices need to be added, only the corresponding micro-control area needs to be added and connected to the existing micro-control areas through cascading to maintain the independence and flexibility of the overall function.

[0026] Furthermore, in the method provided by the application embodiment, developing the micro-control area and cascading it further includes:

[0027] Perform cross-link analysis on the single-thread control logic to determine the thread cascade logic; decouple the energy transfer network based on functional components to determine the single-thread network; develop a micro-control area according to the single-thread control logic and the single-thread network, and develop a cascade control area according to the thread cascade logic and the energy transfer network; associate the micro-control area with the cascade control area, and perform the writing of the central control chip based on programmed gating.

[0028] In the embodiment of the present application, first, perform cross-link analysis on the single-thread control logic, and analyze the dependency relationship and execution order between each control task through the task dependency analysis method. Each control task has a different sequence with other tasks, and some tasks must wait for the previous task to complete before they can start execution. Through cross-link analysis, the priority and execution timing of each task are obtained, thus forming the thread cascade logic.

[0029] Next, decouple the energy transfer network based on functional components, using the modular design method. Through this method, each functional component (such as photovoltaic panels, energy storage batteries, charging interfaces, etc.) in the energy transfer network is decoupled, and each functional module can operate independently and interact with other modules through standard interfaces. This process makes the control of each module more independent and simplified, avoiding mutual interference between modules. Finally, the decoupled energy transfer network manages the energy transfer of each functional component through independent control paths, determining the single-thread network.

[0030] Then, according to the single-thread control logic and the single-thread network, a micro-control area is developed through the embedded control design method. Each micro-control area corresponds one-to-one with a specific functional component (such as photovoltaic panels, energy storage batteries, etc.), and is responsible for managing and controlling the operation of the corresponding module. The micro-control area executes tasks step by step according to the single-thread control logic, executing only one task at a time to ensure the orderliness and stability of control tasks. Finally, through the embedded control design, the micro-control area is developed, and it is ensured that each micro-control area can perform efficient independent control on each functional module according to the single-thread control logic.

[0031] Then, based on the thread cascade logic and the energy transfer network, a cascade control area is developed through the series control design method. This design organizes multiple micro-control areas in a hierarchical series manner, enabling each micro-control area to execute tasks in sequence, ensuring the coordination of each control task and avoiding conflicts caused by parallel tasks. Through the development of the cascade control area, it is ensured that each functional module can work efficiently according to the predetermined execution order and priority. Finally, the cascade control area is developed to achieve the efficient cooperation and coordinated control of the micro-control areas.

[0032] Finally, connect the micro - control area and the cascade control area, and execute task scheduling based on the central control chip through programming gating technology. The programming gating technology ensures that each micro - control area executes according to the priority and conditions of the task through preset control logic, while the central control chip is responsible for coordinating the work of the micro - control areas. Through programming gating, it is ensured that all tasks can start execution at the appropriate time and there are no conflicts in task execution. Finally, the writing of the central control chip with programming gating ensures that all micro - control areas and cascade control areas can execute according to the preset logic under the unified scheduling of the central control chip, ensuring the stability and efficiency of the whole process.

[0033] Step S200: Perform self - sampling of environmental data, combine the consumption demand and power supply status to generate real - time power supply tasks, where the real - time power supply tasks include an energy management dimension and a function control dimension.

[0034] In the embodiment of the present application, first, self - sampling of execution environmental data is carried out, and various data of the surrounding environment, such as light intensity, temperature, humidity, etc., are collected in real - time through pre - deployed environmental monitoring sensors.

[0035] Next, combine the consumption demand and power supply status, and rely on data fusion methods to comprehensively process the data of photovoltaic panels, energy storage batteries, and load devices. The consumption demand refers to the current device's demand for electricity, while the power supply status is the power generation capacity of the photovoltaic panel and the remaining battery power. By fusing these data, it is determined whether the current power is sufficient to meet the demand, or whether the power generation of the photovoltaic panel or the charging strategy needs to be adjusted. For example, when the photovoltaic power generation is high and the battery power is sufficient, the excess electric energy is supplied to external loads or stored; when the battery power is low, the battery is preferentially charged to ensure subsequent use.

[0036] On this basis, the generated real - time power supply tasks include two dimensions: an energy management dimension and a function control dimension. The energy management dimension involves the control of the battery charge - discharge process, the adjustment of the power generation of the photovoltaic panel, and how to effectively allocate power. When the battery power is sufficient, increase the output of the photovoltaic panel to meet the needs of other load devices; when the battery power is insufficient, give priority to ensuring battery charging to guarantee subsequent power supply requirements. The function control dimension focuses on how to adjust the working states of various devices according to the priority of power demand. When the power is limited, non - critical load devices (such as air conditioners, entertainment devices) will be adjusted to low - power modes or turned off to ensure that critical devices (such as lighting, communication, etc.) are preferentially powered.

[0037] Step S300: Decompose and package the real - time power supply tasks according to function orientation, import them into the micro - control area to execute multi - area parallel decision - making, and determine the pre - control strategy.

[0038] In the embodiments of the present application, the real-time power supply task is first decomposed and encapsulated according to function orientation. The purpose of decomposition and encapsulation is to break down complex power supply tasks into independent small tasks, with each small task focusing on the execution of a specific function. This process uses task decomposition methods. By identifying each key link in the power supply task (such as energy supply, energy storage management, functional component drive, etc.), these links are broken down into specific control tasks. For example, the energy supply task is split into the power generation control of photovoltaic panels, the power distribution of external load devices, etc.; the energy storage task is decomposed into the charging control of the battery, the battery power monitoring, etc.; the drive tasks of each functional component include the start and stop of the lighting system, the power allocation of communication devices, etc. Each task forms an independent control module through encapsulation, which can operate independently and work in coordination with other modules at the same time.

[0039] Next, these decomposed and encapsulated tasks are imported into the micro-control area and executed within the micro-control area. The micro-control area performs multi-area parallel decision-making, that is, each micro-control area makes independent decisions simultaneously. Each micro-control area processes according to the tasks it is responsible for. For example, the photovoltaic panel control module independently decides how to adjust the power generation of the photovoltaic panels, the energy storage battery management module will independently decide whether charging is needed, and the load scheduling module decides whether to reduce the load according to the battery state and external demands. Through parallel decision-making, different modules execute their respective tasks simultaneously without having to wait for other tasks to complete.

[0040] Finally, based on these independent tasks and parallel decisions, a pre-control strategy is determined. The pre-control strategy refers to the operation strategy set in advance after determining the task priorities, the relationships between tasks, and resource allocation. This strategy makes decisions based on the current power supply state, environmental conditions, and load demands. For example, when the battery power is low, the pre-control strategy is to give priority to charging and reduce the power consumption of non-critical loads; when the battery power is sufficient, the pre-control strategy is to increase the output of photovoltaic power generation and supply power to external devices.

[0041] Step S400: The pre-control strategy responds to the functional components of the photovoltaic energy storage mobile fire protection power supply and executes task response control.

[0042] In the embodiments of the present application, the pre-control strategy responds to the functional components of the photovoltaic energy storage mobile fire protection power supply and executes task response control. Specifically, the pre-control strategy dynamically adjusts the working states of each functional component according to real-time data, such as the power generation of photovoltaic panels, the power state of the energy storage battery, the demands of load devices, etc. When the photovoltaic power generation increases, the pre-control strategy instructs the photovoltaic panels to reduce power generation or store the excess power in the energy storage battery; when the battery power is low, the pre-control strategy will give priority to charging the battery to ensure that the battery always maintains sufficient power to meet the load demands.

[0043] Task response control performs specific operations on each functional component according to pre-control strategy instructions. For example, when the battery power is lower than the set threshold, the pre-control strategy instructs the micro-control area to start the charging task to ensure that the battery is charged as soon as possible and maintains normal operation; when the battery is fully charged, the charging task may be paused and power is instead provided to external load devices. During this process, task response control ensures that the working status of each functional module can be flexibly adjusted according to the pre-control strategy to ensure that each module can work in coordination to achieve the optimal allocation and utilization of energy.

[0044] Furthermore, in the method provided by the application embodiment, when performing the risk alarm decision in the multi-zone parallel decision-making, it further includes:

[0045] Based on the environmental data, locate environmental risk factors, where the environmental risk factors are marked with factor risk levels; generate an active alarm instruction based on the environmental risk factors; perform risk control tracking management based on Beidou positioning according to the active alarm instruction and the passive alarm instruction, where the passive alarm instruction is an alarm instruction actively triggered by the SOS switch.

[0046] In the embodiment of the present application, environmental data is collected in real time according to environmental data through environmental monitoring sensors (such as temperature, humidity, and light intensity sensors). For example, the temperature sensor monitors the change in environmental temperature. When the temperature exceeds the predetermined threshold, it indicates that there may be a high-temperature risk. At this time, environmental risk factors can be located, such as "high temperature" being identified as a risk factor. Each environmental risk factor corresponds to a risk level. For example, when the temperature exceeds 50°C, the risk level of the temperature risk factor is marked as "high", and when it is 40°C, it is marked as "medium" or "low", reflecting the urgency of the environmental conditions. This process marks and classifies the factors that may pose potential hazards in the environment through the comparison and analysis of real-time environmental data.

[0047] Next, based on the environmental risk factors, such as the risk factor of "high temperature", an active alarm instruction is generated according to the predetermined condition threshold. When the temperature sensor detects that the temperature exceeds the high-risk threshold, the active alarm instruction will be automatically generated and sent immediately. For example, when the temperature exceeds 50°C, an alarm is triggered and relevant personnel are notified to take measures. These active alarm instructions are automatic responses based on preset rules to ensure that alarms are issued in a timely manner in case of emergencies and accidents are avoided.

[0048] In some cases, in addition to the alarms automatically triggered by the environment, passive alarm instructions can also be triggered. For example, when an emergency occurs and the user presses the SOS switch, the alarm instruction triggered by the active SOS switch will be activated, generating a passive alarm instruction. This passive alarm instruction sends an alarm signal to a predetermined emergency response center, indicating that an emergency requiring external intervention has occurred, and at the same time providing information about relevant equipment and the emergency location.

[0049] Finally, through the Beidou positioning system, the precise location information of the device is transmitted together with the alarm instruction. This process is called risk control tracking management. Once an active or passive alarm instruction is generated, the Beidou positioning system will obtain the specific location of the device and provide this location information to the emergency response team, enabling them to reach the scene accurately and quickly. For example, when the alarm signal triggered by high temperature is activated, the Beidou positioning system ensures that the rescue personnel can quickly locate the specific location of the device and take timely measures.

[0050] Furthermore, the method provided by the application embodiment further includes:

[0051] The photovoltaic energy storage mobile fire prevention power supply is communicatively connected to a rescue platform; through a matching microprocessing module, the active alarm instruction or the passive alarm instruction is decoded to determine the alarm response method; according to the alarm response method, through communication interaction with the rescue platform, risk control tracking management is performed using Beidou positioning coordinates.

[0052] In the embodiment of the present application, the photovoltaic energy storage mobile fire prevention power supply is connected to the rescue platform through a communication module. The communication module uses wireless communication technologies such as LTE, Wi-Fi, or low-power wide area networks to ensure that the device can exchange data with the remote rescue platform in real time. When the device detects an emergency (such as too high temperature, equipment failure, etc.), it will send an alarm signal through this communication link to notify the relevant personnel of the rescue platform.

[0053] Next, the alarm signal is decoded by the microprocessing module. The microprocessing module is responsible for analyzing the received alarm signal. For example, if the temperature sensor detects that the temperature exceeds the preset safety threshold, the microprocessing module will interpret this signal as a "fire risk" alarm; if it is an alarm signal triggered by the user pressing the SOS switch, the microprocessing module will identify it as a "personnel seeking help" signal. In this way, the microprocessing module determines the appropriate alarm response method according to the different types of alarms.

[0054] Determine how to conduct emergency response based on the alarm response method. If the alarm is triggered by a fire alarm, the response methods may include locating the device's position, deploying drones for fire inspection, etc.; if it is a personnel distress signal (such as an SOS signal), the response method may be to provide the precise location of the device through communication interaction with the rescue platform to ensure that the rescue personnel can accurately reach the place in need of help.

[0055] Finally, based on the Beidou positioning system, provide the real-time position information of the device to the rescue platform to perform risk control tracking management. When the alarm signal is triggered, obtain the precise coordinates of the device through Beidou positioning and transmit this information to the rescue platform or the emergency response team. If the alarm is a fire or a distress signal requiring device positioning, the Beidou positioning technology can provide the geographical location information of the device in real time to ensure that the rescue personnel can quickly reach the scene and carry out rescue work.

[0056] Furthermore, in the method provided by the application embodiment, for risk control tracking management using Beidou positioning coordinates, it further includes:

[0057] Determine the absolute coordinates through Beidou positioning, where the absolute coordinates are the position coordinates in the world coordinate system; determine a reference target, perform coordinate system transformation on the absolute coordinates to determine the relative coordinates; and perform risk control tracking management according to the relative coordinates.

[0058] In the embodiment of the present application, first obtain the absolute coordinates through the Beidou positioning system. This process uses the triangulation positioning method, which calculates the distance between the device and the satellites by receiving the signals of at least four Beidou satellites. Through the known positions of the satellites, the device calculates its own position by comparing the signal propagation time, thereby obtaining the longitude and latitude coordinates (i.e., the absolute coordinates).

[0059] Next, to obtain the relative coordinates, a coordinate transformation method is adopted. In this step, first determine a reference target, which is a known geographical location or a fixed reference position of the device, such as a certain building, road sign, or rescue center. Then, through the coordinate transformation algorithm, compare the obtained absolute coordinates (the position in the world coordinate system) with the coordinates of the reference target, calculate the difference between them, and thus obtain the relative coordinates of the device and the reference target. For example, if the absolute coordinates of the reference target are longitude 120.0° and latitude 30.0°, and the absolute coordinates of the device are longitude 120.5° and latitude 30.3°, then through simple subtraction operations, calculate the longitude and latitude differences between the device and the reference target to obtain the relative coordinates.

[0060] Finally, based on the calculated relative coordinates, risk control tracking management is executed. In this step, first, a temporary interaction with the drone is established through a communication protocol, and the current position of the drone is used as a reference target. Based on the position of the drone, the absolute coordinates of the device are converted into the first relative coordinates, and these relative coordinates are sent to the drone control system and the rescue platform to ensure that relevant parties can obtain the position of the device in real time. Subsequently, a connection with the rescue platform is established through the communication protocol, and with the preset position range as the reference target, the second relative coordinates of the device are calculated again. Finally, the second relative coordinates are sent to the rescue platform for further risk management and emergency response.

[0061] Further, in the method provided by the application embodiment, when executing risk control tracking management according to the relative coordinates, it further includes:

[0062] Establish a temporary interaction with the drone through a communication protocol, use the drone position as a reference target, convert the absolute coordinates, and determine the first relative coordinates, where the first relative coordinates are sent to the drone control system and the rescue platform; establish a communication connection with the rescue platform through the communication protocol, use the preset position range as a reference target, and determine the second relative coordinates, where the second relative coordinates are sent to the rescue platform.

[0063] In the embodiment of the present application, first, a temporary interaction with the drone is established through a communication protocol. This process uses wireless communication technology, such as LTE, Wi-Fi, or other wireless communication protocols, to establish a data connection between the device and the drone. Once the device and the drone are connected, the device can obtain the position coordinates of the drone in real time and use them as a reference target.

[0064] Next, use the drone position as a reference target to convert the absolute coordinates and determine the first relative coordinates. This step uses a coordinate conversion algorithm. The absolute coordinates are the position of the device in the global coordinate system (such as WGS-84), and the first relative coordinates are the coordinates of the device relative to the drone position. Through the coordinate conversion algorithm, the absolute coordinates of the device are compared with the reference coordinates of the drone, and the longitude and latitude differences between them are calculated to obtain the first relative coordinates. This relative coordinate represents the position of the device relative to the drone and can simplify the judgment of the distance and direction between the device and the drone.

[0065] The first relative coordinate is then sent to the drone control system and the rescue platform, and this process uses a data transmission protocol. The first relative coordinate is transmitted to the drone control system and the rescue platform through a wireless communication protocol. Next, through the communication protocol, based on the communication connection with the rescue platform, the second relative coordinate is determined with the preset position range as a reference target. This step uses geo-fencing technology. The preset position range is usually defined as a safety area or mission area. Using geo-fencing technology, the current position of the device is compared with the range. Geofencing technology determines whether the device is within the range by comparing the absolute coordinates of the device with the preset safety area boundary, and calculates the relative position of the device to the area to obtain the second relative coordinate.

[0066] Finally, the second relative coordinates are sent to the rescue platform, and this process uses the data transmission protocol again. Through the communication connection with the rescue platform, the second relative coordinates are transmitted to the rescue platform, helping rescuers to understand the relative position of the equipment and the preset target area in real time, ensuring that the rescue team can respond quickly and take appropriate measures.

[0067] Furthermore, in the method provided in the embodiment of the application, executing multi-region parallel decision-making also includes:

[0068] Energy supply priorities are introduced, wherein the self-driving energy network and key functional components have a first energy supply priority; based on the energy supply priority, a basic energy storage area is set in the energy storage battery, wherein the storage capacity of the basic energy storage area can meet the energy supply of the self-driving energy network and key functional components in a preset time zone.

[0069] In an embodiment of the present application, energy supply priority is introduced through functional importance evaluation. In this process, the dependence of each functional module on electricity and their criticality in the overall operation are evaluated. The first energy supply priority is given to self-driving energy networks (such as photovoltaic power generation modules and energy storage batteries) and key functional components (such as lighting systems, communication equipment, and emergency response equipment). For example, in an intelligent power system, photovoltaic power generation modules and energy storage batteries are responsible for stable power supply, while emergency communication equipment and lighting systems are regarded as components that are critical to safety and normal operation. Therefore, these modules will get priority to obtain electricity when the power supply is tight to ensure their normal operation.

[0070] Next, the setting of the basic energy storage area is achieved through energy storage demand calculation. This method calculates the amount of electricity that needs to be stored based on the changes in load demand. Specifically, the energy storage demand calculation method takes into account the changes in photovoltaic power generation and load. For example, during the day when the photovoltaic power generation is high, the battery will store the excess electrical energy; at night, the energy storage battery will provide power for lighting and communication equipment. By analyzing these load demands, the energy storage demand calculation ensures that the basic energy storage area can store enough electricity to meet the power supply demands under low-light conditions such as at night and on cloudy days. Suppose the power consumption of lighting and communication equipment at night is 200 watts, and the capacity of the energy storage battery must at least meet this demand for 10 hours, that is, the storage demand of 200 watts × 10 hours = 2000 watt-hours (2 kilowatt-hours). Through calculation, the amount of electricity to be stored in the energy storage area is set.

[0071] Finally, the determination of the stored electricity in the basic energy storage area is completed through the time-period load demand prediction method. This method predicts the power demand of the system at different time periods through historical data and a real-time load demand prediction system. For example, in the cold winter, the power demand of lighting and heating equipment is relatively high. The time-period load demand prediction will predict the power consumption of the system according to temperature changes, seasonal changes, and equipment usage patterns. These predictions help determine how much electricity the energy storage battery should store at different time periods to cope with the power demand peaks. For example, the power demand of lighting and communication equipment at night in winter is usually higher than that in summer. The time-period load demand prediction calculates that the power demand at night in winter is 5000 watt-hours (5 kilowatt-hours), so the stored electricity in the basic energy storage area needs to meet this demand. In this way, the energy storage battery can dynamically adjust its charging and discharging strategies according to the expected load demand to ensure that there is enough power during high-load periods.

[0072] Furthermore, in the method provided by the application embodiment, after the task response control is executed, it further includes:

[0073] Monitoring the operating state of the photovoltaic energy storage mobile fireproof power supply to determine the working state information; using the working state information, through structured integration, to generate a status list, where the status list is updated in real time; and displaying the status list, where the display method includes the on-board interface display of the photovoltaic energy storage mobile fireproof power supply or the interface display accessed by a mobile terminal.

[0074] In the embodiment of the present application, first, the operating state of the photovoltaic energy storage mobile fireproof power supply is monitored. This step uses a multi-sensor data acquisition method, and various components of the photovoltaic energy storage mobile fireproof power supply are monitored in real time through devices such as voltage sensors, current sensors, and temperature sensors. For example, the voltage sensor monitors the voltage of the energy storage battery in real time, and the current sensor monitors the current change to ensure the normal charge and discharge state of the battery; the temperature sensor is used to monitor the temperature inside the device to prevent overheating. The data collected by these sensors reflects the working state of the photovoltaic energy storage power supply in real time, including whether there are abnormal current or voltage fluctuations, the charging state of the battery, etc. Through this process, real-time working state information is finally obtained, covering key parameters such as battery power, power generation state, and temperature.

[0075] Next, based on the working state information, through structured integration, a status single column is generated. This process uses a data structuring method. The original sensor data may be scattered and needs to be cleaned and formatted. Through the data processing unit, information such as the voltage, current, temperature, and photovoltaic power generation of the battery is converted into a unified data format and structured into a clear status single column. For example, the battery power, photovoltaic power generation power, temperature value, etc. will be integrated according to the time stamp and relevant identifiers and formed into a table or data block that is easy to read and analyze. Finally, a real-time updated status single column is obtained, including various operating data of the device at present (such as the percentage of battery power, photovoltaic power generation, etc.).

[0076] Then, the status single column is displayed on the interface. This step uses interface display technologies, including on-board interface display and remote display. For the on-board interface display, the status single column will be displayed on an embedded display screen (such as an LCD or OLED screen), and the display content may include key data such as the battery power bar, photovoltaic power generation power, and device temperature, which is convenient for the operator to view the status of the device at any time. For the interface display accessed by the mobile terminal, through wireless communication technologies (such as Wi-Fi, Bluetooth, etc.), the data of the status single column is transmitted to the mobile device (such as a smart phone, tablet computer, etc.) in real time. The user can view and monitor the device status through a dedicated application program and perform remote control and management. Finally, a real-time device status interface presented by different display methods (on-board display or mobile terminal display) is obtained, providing clear and real-time device operation information for the operator or user.

[0077] In the embodiment of the present application, in summary, the embodiment of the present application has at least the following technical effects:

[0078] This application is functionally oriented towards a photovoltaic energy storage mobile fireproof power source. It develops a micro-control area and cascades it, and is embedded in the central control chip. It performs self-sampling of environmental data, combines the consumption demand and energy supply status to generate a real-time energy supply task. Among them, the real-time energy supply task includes an energy management dimension and a function control dimension. It decomposes and encapsulates the real-time energy supply task according to the functional orientation, imports it into the micro-control area to perform multi-area parallel decision-making, and determines a pre-control strategy. The pre-control strategy responds to the functional components of the photovoltaic energy storage mobile fireproof power source and executes task response control. The present invention solves the technical problems of the prior art that mobile power sources cannot meet the long-term outdoor power consumption needs, and lack effective positioning and distress means when encountering danger or getting lost in the wild. By combining a photovoltaic energy storage power source to provide continuous and stable power supply, positioning and sending a distress signal, it achieves the technical effects of meeting the long-term outdoor power consumption needs, providing positioning and distress functions in case of emergency, and improving the safety and reliability of outdoor activities.

[0079] Embodiment 2. This application also provides a photovoltaic energy storage mobile fireproof power source for implementing the outdoor energy supply method integrating Beidou positioning in Embodiment 1. The photovoltaic energy storage mobile fireproof power source includes: a box body and functional components; the functional components at least include a charging component, a lighting component, a Beidou positioning component, and an SOS switch; among them, the charging component, the Beidou positioning component, the lighting component, and the SOS switch are distributedly deployed on the box body, and the charging component includes a multi-functional component array. Figure 2 It is a schematic structural diagram of an exemplary photovoltaic energy storage mobile fireproof power source of this application.

[0080] It should be noted that the above sequence of embodiments of this application is only for description and does not represent the superiority or inferiority of the embodiments. And the above describes specific embodiments of this specification. The processes depicted in the drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multi-tasking and parallel processing are also possible or may be advantageous.

[0081] The above are only the preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application shall be included within the protection scope of this application.

[0082] This specification and the drawings are only exemplary descriptions of this application and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art can make various changes and modifications to this application without departing from the scope of this application. Thus, if these modifications and variations of this application fall within the scope of this application and its equivalent technologies, this application is intended to include these changes and modifications.

Claims

1. An outdoor power supply method integrating Beidou positioning, characterized in that The method includes: Developing a micro-control area and cascading it, and embedding it in the central control chip in a function-oriented manner for a photovoltaic energy storage mobile fire prevention power supply; Performing self-sampling of environmental data, combining the consumption demand and the power supply status to generate a real-time power supply task, where the real-time power supply task includes an energy management dimension and a function control dimension; Decomposing and encapsulating the real-time power supply task according to the function orientation, importing it into the micro-control area to execute multi-area parallel decision-making, and determining a pre-control strategy; The pre-control strategy responds to the functional components of the photovoltaic energy storage mobile fire prevention power supply and executes task response control.

2. The outdoor power supply method integrating Beidou positioning according to claim 1, characterized in that, Developing a micro-control area and cascading it, and embedding it in the control center, including: Determining the single-thread control logic of the energy transfer network and each functional component, where the energy transfer network includes a self-driven energy network and an external energy network; Developing the micro-control area and cascading it according to the single-thread control logic and the energy transfer network, where the micro-control area corresponds to the functional component one by one, and the micro-control area is extensible.

3. The outdoor power supply method integrating Beidou positioning according to claim 2, wherein Developing the micro-control area and cascading it, including: Performing cross-link analysis on the single-thread control logic to determine the thread cascading logic; Decoupling the energy transfer network based on the functional components to determine a single-thread network; Developing a micro-control area according to the single-thread control logic and the single-thread network, and developing a cascading control area according to the thread cascading logic and the energy transfer network; Associating the micro-control area with the cascading control area and performing central control chip writing based on programming gating.

4. The outdoor energy supply method integrating Beidou positioning according to claim 1, characterized in that Performing risk alarm decision-making in multi-area parallel decision-making, including: Locating environmental risk factors according to the environmental data, where the environmental risk factors are marked with factor risk levels; Generating an active alarm instruction with the environmental risk factors; Performing risk control tracking management based on Beidou positioning according to the active alarm instruction and the passive alarm instruction, where the passive alarm instruction is an alarm instruction actively triggered by the SOS switch.

5. The outdoor energy supply method integrating Beidou positioning according to claim 4, wherein, The photovoltaic energy storage mobile fire prevention power supply is communicatively connected to a rescue platform; Interpreting the active alarm instruction or the passive alarm instruction through a matching microprocessing module to determine the alarm response method; According to the alarm response method, performing risk control tracking management with Beidou positioning coordinates through communication interaction with the rescue platform.

6. The outdoor energy supply method integrating Beidou positioning according to claim 5, characterized in that, Performing risk control tracking management with Beidou positioning coordinates, including: Determining the absolute coordinates through Beidou positioning, where the absolute coordinates are position coordinates in the world coordinate system; Determining a reference target, performing coordinate system conversion on the absolute coordinates to determine relative coordinates; Performing risk control tracking management according to the relative coordinates.

7. The outdoor power supply method integrating Beidou positioning according to claim 6, wherein Performing risk control tracking management according to the relative coordinates, including: Establishing a temporary interaction with a drone through a communication protocol, using the drone position as a reference target, converting the absolute coordinates to determine the first relative coordinates, where the first relative coordinates are sent to the drone control system and the rescue platform; Through a communication protocol, based on the communication connection with the rescue platform, with a preset position range as the reference target, determine the second relative coordinate, and send the second relative coordinate to the rescue platform.

8. The outdoor energy supply method integrating Beidou positioning according to claim 2, characterized in that, Execute multi-region parallel decision-making, including: Introduce the power supply priority, where the self-driven energy network and the key functional components have the first power supply priority; With the power supply priority as a constraint, set a basic energy storage area in the energy storage battery, where the stored power of the basic energy storage area can meet the power supply of the self-driven energy network and the key functional components in a preset time zone.

9. The outdoor power supply method integrating Beidou positioning according to claim 1, characterized in that After executing the task response control, including: Monitor the operating state of the photovoltaic energy storage mobile fire prevention power supply to determine the working state information; Based on the working state information, generate a status list through structured integration, where the status list is updated in real time; Display the status list on the interface, where the display method includes the on-board interface display of the photovoltaic energy storage mobile fire prevention power supply or the interface display accessed by the mobile terminal.

10. A photovoltaic energy storage mobile fireproof power source, characterized in that, For implementing the outdoor energy supply method integrating Beidou positioning as described in claims 1-9, the photovoltaic energy storage mobile fire prevention power supply includes: a box body and functional components; The functional components at least include a charging component, a lighting component, a Beidou positioning component, and an SOS switch; Among them, the charging component, the Beidou positioning component, the lighting component, and the SOS switch are distributedly deployed on the box body, and the charging component includes a multi-functional component array.

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