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

Abstract

The application discloses an outdoor energy supply method fusing Beidou positioning and a photovoltaic energy storage mobile fireproof power supply, relates to the technical field of outdoor energy supply, and comprises the following steps: developing a micro control area and performing cascade, and embedding the micro control area in a central control chip; performing self-sampling of environmental data, combining energy consumption demand and energy supply state, and generating real-time energy supply tasks, wherein the real-time energy supply tasks comprise an energy management dimension and a function control dimension; decomposing and packaging the real-time energy supply tasks according to function orientation, importing the micro control area to perform multi-area parallel decision, and determining a pre-control strategy; and the pre-control strategy responds to function components of the photovoltaic energy storage mobile fireproof power supply, and performs task response control. The application solves the technical problems that the existing mobile power supply cannot meet the long-time field power supply demand, and lacks effective positioning and help-seeking means when encountering danger or losing direction in the field, and achieves the technical effect of improving the safety and reliability of field activities.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of outdoor power supply, in particular to an outdoor power supply method fusing Beidou positioning and a photovoltaic energy storage mobile fireproof power supply. BACKGROUND

[0002] Most of the existing mobile power supplies rely on traditional battery energy storage and cannot meet the long-term outdoor power supply demand. Especially in the field environment, such as refuge sites, forest sites or outdoor play areas, due to the lack of continuous power supply, once the power is consumed, the mobile power supply cannot continue to be used, and cannot provide charging or other power demand for users. In addition, in the event of danger or getting lost in the field, the existing device lacks effective positioning and help-seeking functions, and cannot provide help in emergency situations, and cannot simultaneously meet the multiple demands of long-term power supply, positioning and help-seeking. SUMMARY

[0003] The application provides an outdoor power supply method fusing 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 outdoor power supply demand, and lacks effective positioning and help-seeking means when encountering danger or getting lost in the field.

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

[0005] In a first aspect of the application, an outdoor power supply method fusing Beidou positioning is provided, which comprises:

[0006] In the function-oriented development of the photovoltaic energy storage mobile fireproof power supply, a micro-control area is developed and cascaded, and is embedded in a central control chip; self-sampling of environmental data is performed, and real-time power supply tasks are generated in combination with the demand for consumption and the state of power supply, wherein the real-time power supply tasks include energy management dimensions and function control dimensions; the real-time power supply tasks are decomposed and packaged according to the function orientation, multi-area parallel decision-making is performed in the micro-control area, a pre-control strategy is determined, and the pre-control strategy responds to the function components of the photovoltaic energy storage mobile fireproof power supply to perform task response control.

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

[0008] The photovoltaic energy storage mobile fireproof power supply comprises a box body and function components; the function components at least include a charging component, an illumination component, a Beidou positioning component and an SOS switch; wherein the charging component, the Beidou positioning component, the illumination component and the SOS switch are distributedly arranged in the box body, and the charging component contains an array of multifunctional components.

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

[0010] The present application develops a micro control area and performs cascading in the function orientation of the photovoltaic energy storage mobile fireproof power supply, and is embedded in the central control chip; self-sampling of environmental data is performed, the real-time power supply task is generated in combination with the accommodation demand and the power supply state, wherein the real-time power supply task includes an energy management dimension and a function control dimension; the real-time power supply task is decomposed and packaged according to the function orientation, multi-area parallel decision is performed in the micro control area, and a pre-control strategy is determined; the pre-control strategy responds to the functional components of the photovoltaic energy storage mobile fireproof power supply, and performs task response control. The present application solves the technical problems that the existing mobile power supply cannot meet the long-time field power demand, and lacks effective positioning and help-seeking means when encountering danger or losing direction in the field, provides continuous and stable power supply by combining the photovoltaic energy storage power supply, positions and sends a help-seeking signal, meets the long-time field power demand, provides positioning and help-seeking functions in an emergency, and improves the safety and reliability of field activities. BRIEF DESCRIPTION OF DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0012] Figure 1 The outdoor power supply method flowchart provided by the embodiment of the present application is fused with Beidou positioning.

[0013] Figure 2 The structure diagram of the photovoltaic energy storage mobile fireproof power supply provided by the embodiment of the present application. DETAILED DESCRIPTION

[0014] The present application provides an outdoor power supply method fused with Beidou positioning and a photovoltaic energy storage mobile fireproof power supply, aiming at solving the technical problems that the existing mobile power supply cannot meet the long-time field power demand, and lacks effective positioning and help-seeking means when encountering danger or losing direction in the field, providing continuous and stable power supply by combining the photovoltaic energy storage power supply, positioning and sending a help-seeking signal, meeting the long-time field power demand, providing positioning and help-seeking functions in an emergency, and improving the safety and reliability of field activities.

[0015] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0016] It should be noted that any variation of the terms "comprise", "have" and "include" is intended to cover non-exclusive inclusion, for example, a process, method, system, product or server comprising a series of steps or units need not be limited to those clearly listed steps or units, but can include other steps or modules not clearly listed or inherent to these processes, methods, products or devices.

[0017] Embodiment one, as shown in the present application provides an outdoor energy supply method fusing Beidou positioning, the method comprises: Figure 1

[0018] Step S100: Guided by the function of the photovoltaic energy storage mobile fireproof power supply, develop micro control areas and cascade them, and embed them in the central control chip.

[0019] In the embodiments of the present application, guided by the function of the photovoltaic energy storage mobile fireproof power supply, first, according to the needs of photovoltaic power generation, energy storage and fire safety, develop multiple micro control areas, each of which is 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 cascading manner to form a hierarchical control structure. The cascading design ensures that each micro control area can independently perform specific tasks, while improving overall efficiency through collaborative work. Each micro control area is responsible for local decision-making and task control, and through cooperation with other micro control areas, it completes more complex functional management. All micro control areas are embedded in the central control chip, so that all control and scheduling tasks can be completed in real time at the hardware level, avoiding external computer intervention, and improving response speed and reliability.

[0020] Further, the method provided by the embodiments of the application, developing micro control areas and cascading them, and embedding them in the control center, further comprises:

[0021] determining the single-thread control logic of the energy flow network and each functional component, wherein the energy flow network comprises a self-driven energy network and an external energy network; developing the micro control areas and cascading them according to the single-thread control logic and the energy flow network, wherein the micro control areas correspond one-to-one to the functional components, and the micro control areas are extensible.

[0022] ​In the embodiments of the present application, the single-thread control logic of the energy flow network and each functional component is first determined. The energy flow network includes a self-driven energy network and an external energy network. The self-driven 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 batteries through a charging controller. The batteries provide different functional modules inside the system, such as the lighting system and the USB charging interface, with electrical energy as needed during the process of storing electrical energy. The external energy network allows the device to output stored electrical energy to external devices through a USB or AC interface, or charge from an external source (such as mains electricity). This energy flow network ensures that the device can be self-powered or exchange electrical energy with external systems in different environments.

[0023] The single-thread control logic of the energy flow network and each functional component is a common task scheduling method that ensures that only one control task is executed at any time. Specifically, the single-thread control logic executes each task in turn, such as monitoring the power generation of the photovoltaic panels, checking the power status of the energy storage batteries, adjusting the current output of the charging interface, etc. Each task is executed after the completion of the previous task.

[0024] Subsequently, according to the single-thread control logic and the energy flow network, a 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 a specific functional module. Each micro-control area corresponds to a specific functional component, such as a photovoltaic panel, an energy storage battery, a charging interface, etc. The task of each micro-control area is completed in turn according to the single-thread control logic, and there is no parallel conflict between them. In a multi-functional system, cascading design refers to connecting multiple micro-control areas in a certain order to form a hierarchical control structure. Each micro-control area can not only run independently, but also work cooperatively with other micro-control areas to achieve overall coordination of the system.

[0025] In addition, the micro-control area is designed to be extensible, that is, when new functions are needed, new micro-control areas can be added for extension without affecting the operation of the original functional modules. For example, when new sensor modules or other external devices are added, only the corresponding micro-control area needs to be added and connected to the existing micro-control area through cascading, maintaining the independence and flexibility of the overall function.

[0026] Further, the method provided by the embodiments of the present application further comprises:

[0027] The single-thread control logic is cross-linked and analyzed to determine thread cascade logic; the energy flow network is decoupled based on functional components to determine a single-thread network; micro-control areas are developed according to the single-thread control logic and the single-thread network, and cascade control areas are developed according to the thread cascade logic and the energy flow network; the micro-control areas and the cascade control areas are associated, and a programmed gate-based central control chip is written.

[0028] In the embodiments of the present application, first, cross-linking analysis of single-thread control logic is performed, and the dependency relationship and execution order between each control task are analyzed by a task dependency analysis method. Each control task has a different order with other tasks, and some tasks must wait for the previous task to complete before starting execution. Through cross-linking analysis, the priority and execution timing of each task are obtained, thereby forming thread cascade logic.

[0029] Next, the energy flow network is decoupled based on functional components using a modular design method. Through this method, each functional component (such as a photovoltaic panel, an energy storage battery, a charging interface, etc.) in the energy flow 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 flow network manages the energy flow of each functional component through independent control paths to determine a single-thread network.

[0030] Then, according to the single-thread control logic and the single-thread network, micro-control areas are developed by an embedded control design method. Each micro-control area corresponds to a specific functional component (such as a photovoltaic panel, an energy storage battery, 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, and only executes one task at a time, ensuring the orderliness and stability of control tasks. Finally, through embedded control design, micro-control areas are developed, and each micro-control area is ensured to be able to efficiently control each functional module according to the single-thread control logic.

[0031] Next, according to the thread cascade logic and the energy flow network, cascade control areas are developed by a series control design method. This design organizes multiple micro-control areas in a hierarchical series, so that each micro-control area executes tasks in order, ensuring coordination between control tasks and avoiding conflicts caused by parallel tasks. Through the development of cascade control areas, each functional module can work efficiently according to the predetermined execution order and priority. Finally, the cascade control area is developed to achieve efficient cooperation and coordinated control of micro-control areas.

[0032] Finally, the micro-control area is associated with the cascade control area, and the task scheduling based on the central control chip is performed through the programmed gate technology. The programmed gate technology ensures that each micro-control area executes according to the priority and condition of the task through the preset control logic, and the central control chip is responsible for coordinating the work of the micro-control area. Through programmed gate, it is ensured that all tasks can start execution at the appropriate time, and the task execution does not conflict. Finally, the programmed gate central control chip writing ensures that all micro-control areas and cascade control areas can execute according to the predetermined logic under the unified scheduling of the central control chip, ensuring the stability and efficiency of the whole process.

[0033] Step S200: self-sampling of execution environment data, combining the accommodation demand and the energy supply state to generate a real-time energy supply task, wherein the real-time energy supply task includes an energy management dimension and a function control dimension.

[0034] In the embodiments of the present application, first, self-sampling of execution environment data is performed, 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, combining the accommodation demand and the energy supply state, the data of the photovoltaic panel, the energy storage battery and the load device are comprehensively processed by relying on a data fusion method. The accommodation demand refers to the demand of the current device for power, and the energy supply state refers to the power generation capacity of the photovoltaic panel and the remaining power of the battery. By fusing these data, it is determined whether the current power is sufficient to meet the demand, or the photovoltaic panel power generation or charging strategy needs to be adjusted. For example, when the photovoltaic power generation is high and the battery power is sufficient, the excess power is supplied to the external load 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 energy supply task includes two dimensions of energy management dimension and function control dimension. The energy management dimension involves the control of the battery charging and discharging process, the adjustment of the photovoltaic panel power generation, and how to effectively distribute the power. When the battery power is sufficient, the output of the photovoltaic panel is increased to meet the demand of other load devices; when the battery power is insufficient, the battery is preferentially charged to ensure subsequent power supply demand. The function control dimension focuses on how to adjust the working state of each device according to the priority of the power demand. When the power is limited, non-critical load devices (such as air conditioners, entertainment devices) will be adjusted to low-power mode or turned off to ensure that critical devices (such as lighting, communication, etc.) are preferentially powered.

[0037] Step S300: decomposing and packaging the real-time energy supply task according to the function orientation, importing the micro-control area to perform multi-area parallel decision-making, and determining a pre-control strategy.

[0038] In the embodiments of the present application, the real-time energy supply task is first decomposed and encapsulated according to the function orientation. The purpose of decomposition and encapsulation is to break down the complex energy supply task into independent small tasks, and each small task focuses on the execution of a specific function. This process uses a task decomposition method to break down each key link in the energy supply task (such as energy supply, energy storage management, function component driving, etc.) into specific control tasks. For example, the energy supply task is split into photovoltaic panel power generation control, external load device power distribution, etc.; the energy storage task is broken down into battery charging control, battery power monitoring, etc.; and the driving task of each function component includes lighting system start-stop, communication device power allocation, etc. Each task forms an independent control module through encapsulation, which can run independently while working with other modules.

[0039] Next, these decomposed and encapsulated tasks are imported into the micro-control area and executed in the micro-control area. The micro-control area performs multi-area parallel decision-making, that is, each micro-control area makes independent decisions simultaneously, and each micro-control area processes according to the task it is responsible for. For example, the photovoltaic panel control module independently decides how to adjust the power generation of the photovoltaic panel, the energy storage battery management module independently decides whether to charge, and the load scheduling module decides whether to reduce the load according to the battery state and external demand. Through parallel decision-making, different modules simultaneously execute their respective tasks without waiting 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 priority, the relationship between tasks, and resource allocation. This strategy makes decisions based on the current energy supply state, environmental conditions, and load demand. For example, when the battery power is low, the pre-control strategy is to prioritize 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 performs task response control in response to the function components of the photovoltaic energy storage mobile fireproof power supply.

[0042] In the embodiments of the present application, the pre-control strategy performs task response control in response to the function components of the photovoltaic energy storage mobile fireproof power supply. Specifically, the pre-control strategy dynamically adjusts the working state of each function component according to real-time data such as the power generation of the photovoltaic panel, the power state of the energy storage battery, and the demand of the load device. When the photovoltaic power generation increases, the pre-control strategy instructs the photovoltaic panel to reduce power generation or store excess power in the energy storage battery; and when the battery power is low, the pre-control strategy prioritizes charging the battery to ensure that the battery always maintains sufficient power to meet the load demand.

[0043] Task response control is to execute specific operations on each functional component according to the 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 work; while the battery power is sufficient, the charging task may be suspended and the power is provided to the external load device. In this process, the task response control ensures that the working state of each functional module can be flexibly adjusted according to the pre-control strategy, so that each module can work in coordination to achieve the optimal allocation and utilization of energy.

[0044] Further, the method provided by the application embodiment further comprises the following steps:

[0045] According to the environmental data, the environmental risk elements are located, wherein the environmental risk elements are identified with element risk levels; the active alarm instruction is generated based on the environmental risk elements; and the risk control tracking management based on Beidou positioning is executed according to the active alarm instruction and the passive alarm instruction, wherein the passive alarm instruction is the alarm instruction triggered by the active trigger of the SOS switch.

[0046] In the application embodiment, the environmental data is collected in real time by the environmental monitoring sensor (such as temperature, humidity, and light intensity sensor) according to the environmental data. For example, the temperature sensor monitors the change of the environmental temperature, and when the temperature exceeds the predetermined threshold, it indicates that there may be a high temperature risk, at which time the environmental risk element such as "high temperature" can be located as a risk element. Each environmental risk element corresponds to a risk level, for example, when the temperature exceeds 50°C, the risk level of the temperature risk element is marked as "high", while at 40°C it is marked as "medium" or "low", reflecting the urgency of the environmental condition. This process marks and classifies the factors that may cause potential harm in the environment by comparing and analyzing real-time environmental data.

[0047] Next, based on the environmental risk element, for example, the risk element of "high temperature", the 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 is automatically generated and immediately issued. For example, when the temperature exceeds 50°C, the alarm is triggered and the relevant personnel is notified to take measures. These active alarm instructions are automatic responses based on preset rules, which ensure that the alarm is issued in time in an emergency to avoid accidents.

[0048] In some cases, in addition to the environmental automatic trigger alarm, passive alarm instructions can also be triggered. For example, when encountering an emergency, the user presses the SOS switch, at which time the alarm instruction under the active trigger of the SOS switch will be activated, generating a passive alarm instruction. This passive alarm instruction sends an alarm signal to the predetermined emergency response center, indicating that an emergency situation requiring external intervention has occurred, while providing information about the 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 the active or passive alarm instruction is generated, the Beidou positioning system obtains the specific location of the device and provides this location information to the emergency response team, enabling them to accurately and quickly reach the scene. For example, when the alarm signal triggered by high temperature occurs, the Beidou positioning system ensures that rescue personnel can quickly locate the specific location of the device and take timely measures.

[0050] Further, the method provided by the application embodiment further comprises:

[0051] The photovoltaic energy storage mobile fireproof power supply and the rescue platform are in communication connection; the active alarm instruction or the passive alarm instruction is interpreted by the matching micro-processing module to determine the alarm response mode; and the alarm response mode is communicated with the rescue platform to perform risk control tracking management through Beidou positioning coordinates.

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

[0053] Next, the alarm signal is interpreted by the micro-processing module. The micro-processing 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 micro-processing module will interpret the signal as a "fire risk" alarm; if it is an alarm signal triggered by the user pressing the SOS switch, the micro-processing module will identify it as a "person seeking help" signal. In this way, the micro-processing module determines the appropriate alarm response mode according to the different types of alarms.

[0054] According to the alarm response mode, it is determined how to carry out emergency response. If it is triggered by fire alarm, the response mode can include positioning the device location, deploying a drone for fire inspection, etc.; if it is a personnel distress signal (such as SOS signal), the response mode can be through communication interaction with the rescue platform, providing the accurate location of the device, ensuring that the rescue personnel can accurately find the place where help is needed.

[0055] Finally, based on the Beidou positioning system, the real-time position information of the device is provided to the rescue platform for risk control and tracking management. When the alarm signal is triggered, the accurate coordinates of the device are obtained through Beidou positioning, and the information is transmitted to the rescue platform or emergency response team. If the alarm is a fire or a distress signal requiring device positioning, the Beidou positioning technology can provide real-time geographic location information of the device, ensuring that the rescue personnel can quickly reach the scene and carry out rescue work.

[0056] Further, the method provided by the application embodiment further comprises:

[0057] By Beidou positioning, the absolute coordinates are determined, wherein the absolute coordinates are position coordinates in the world coordinate system; a reference target is determined, the absolute coordinates are converted in coordinate system to determine the relative coordinates; and the risk control and tracking management is performed according to the relative coordinates.

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

[0059] Next, to obtain the relative coordinates, the coordinate transformation method is used. In this step, a reference target is first determined, which is a known geographic location or a fixed reference position of the device, such as a building, a road sign or a rescue center. Then, through the coordinate conversion algorithm, the obtained absolute coordinates (position in the world coordinate system) are compared with the coordinates of the reference target, and the difference between them is calculated, thereby obtaining the relative coordinates between 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°, the difference in longitude and latitude between the device and the reference target is calculated by simple subtraction operation, and the relative coordinates are obtained.

[0060] Finally, according to the calculated relative coordinates, risk control tracking management is performed. In this step, first, temporary interaction with the unmanned aerial vehicle is established through the communication protocol, and the current position of the unmanned aerial vehicle is taken as the reference target. Based on the position of the unmanned aerial vehicle, the absolute coordinates of the device are converted into first relative coordinates, and the relative coordinates are sent to the unmanned aerial vehicle control system and the rescue platform, ensuring that relevant parties can obtain the position of the device in real time. Then, connection is established with the rescue platform through the communication protocol, and the second relative coordinates of the device are calculated again with the preset position range as the reference target. Finally, the second relative coordinates are sent to the rescue platform for further risk management and emergency response.

[0061] Further, the method provided by the application embodiment further comprises:

[0062] temporary interaction with the unmanned aerial vehicle is established through the communication protocol, and the position of the unmanned aerial vehicle is taken as the reference target, and the absolute coordinates are converted to determine the first relative coordinates, wherein the first relative coordinates are sent to the unmanned aerial vehicle control system and the rescue platform; and the second relative coordinates are determined according to the communication connection with the rescue platform through the communication protocol with the preset position range as the reference target, wherein the second relative coordinates are sent to the rescue platform.

[0063] In the application embodiment, first, temporary interaction with the unmanned aerial vehicle is established through the communication protocol, and this process uses wireless communication technology to establish data connection between the device and the unmanned aerial vehicle through LTE, Wi-Fi or other wireless communication protocols. Once the device and the unmanned aerial vehicle are connected, the device obtains the position coordinates of the unmanned aerial vehicle in real time, which are taken as the reference target.

[0064] Next, the position of the unmanned aerial vehicle is taken as the reference target to convert the absolute coordinates to determine the first relative coordinates, and 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 position of the unmanned aerial vehicle. Through the coordinate conversion algorithm, the absolute coordinates of the device and the reference coordinates of the unmanned aerial vehicle are compared to calculate the difference in longitude and latitude between them, and the first relative coordinates are obtained. This relative coordinate represents the position of the device relative to the unmanned aerial vehicle, which can simplify the distance and direction judgment between the device and the unmanned aerial vehicle.

[0065] The first relative coordinates are then sent to the UAV control system and the rescue platform using a data transmission protocol. The first relative coordinates are transmitted to the UAV control system and the rescue platform through a wireless communication protocol. Next, the second relative coordinates are determined based on the communication connection with the rescue platform, with the preset position range as the reference target, using a geofencing technology. The preset position range is usually defined as a safety zone or a task area. The geofencing technology compares the current location of the device with the range using the geofencing technology. The geofencing technology compares the absolute coordinates of the device with the preset safety zone boundary to determine whether the device is within the range and calculates the relative position of the device with the area to obtain the second relative coordinates.

[0066] Finally, the second relative coordinates are sent to the rescue platform using a data transmission protocol again. The second relative coordinates are transmitted to the rescue platform through the communication connection with the rescue platform, helping the rescue personnel to understand the relative position of the device with the preset target area in real time, ensuring that the rescue team can respond quickly and take appropriate measures.

[0067] Further, the method provided by the application embodiment further comprises:

[0068] A power supply priority is introduced, wherein the self-driven energy network and the key functional components have a first power supply priority; and a basic energy storage area is set in the energy storage battery with the power supply priority as a constraint, wherein the energy storage capacity 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.

[0069] In the application embodiment, the power supply priority is introduced through the function importance evaluation. In this process, the dependence of each functional module on power and their criticality in the overall operation are evaluated. The self-driven energy network (such as a photovoltaic power generation module and an energy storage battery) and the key functional components (such as a lighting system, a communication device, and an emergency response device) are given a first power supply priority. For example, in an intelligent power system, the photovoltaic power generation module and the energy storage battery are responsible for stable power supply, while the emergency communication device and the lighting system are considered as components that are crucial to safety and normal operation. Therefore, these modules will have priority in power supply when the power supply is tight, to ensure their normal operation.

[0070] Next, the setting of the base energy storage area is achieved through energy storage demand calculation. This method calculates the required stored electricity 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, photovoltaic power generation is high, and the battery will store excess electricity; while 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 base energy storage area can store enough electricity to meet the power supply demand during low light conditions such as night and cloudy days. Assuming that the power consumption of lighting and communication equipment at night is 200 watts, and the capacity of the energy storage battery must meet this demand for at least 10 hours, i.e. 200 watts x 10 hours = 2000 watt-hours (2 kilowatt-hours) of storage demand. Through calculation, the required storage capacity of the energy storage area is set.

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

[0072] Further, the method provided by the application embodiment further comprises:

[0073] The photovoltaic energy storage mobile fireproof power supply is monitored for operating state to determine working state information; the working state information is structured and integrated to generate a state single column, wherein the state single column is updated in real time; and the state single column is displayed on an interface, wherein the display mode includes on-board interface display of the photovoltaic energy storage mobile fireproof power supply or interface display of a mobile terminal.

[0074] In the embodiments of the present application, first, the operation state of the photovoltaic energy storage mobile fireproof power supply is monitored. This step uses a multi-sensor data acquisition method to monitor each component of the photovoltaic energy storage mobile fireproof power supply 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, the current sensor monitors the current change, and the temperature sensor monitors 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 is abnormal current or voltage fluctuation, the charging state of the battery, etc. Through this process, real-time working state information is finally obtained, covering key parameters such as battery capacity, power generation state, and temperature.

[0075] Next, based on the working state information, a state single column is generated by structured integration. 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, the battery voltage, current, temperature, photovoltaic power generation, and other information are converted into a unified data format and structured into a clear state single column. For example, battery capacity, photovoltaic power generation, and temperature values are integrated according to time stamps and related identifiers, and form a table or data block that is easy to read and analyze. Finally, a real-time updated state single column is obtained, including the current running data of the device (such as battery capacity percentage, photovoltaic power generation, etc.).

[0076] Then, the state single column is displayed on the interface. This step uses interface display technology, including on-board interface display and remote display. For on-board interface display, the state single column is displayed on the embedded display screen (such as LCD or OLED screen), and the display content may include battery capacity bar, photovoltaic power generation, device temperature, and other key data, which is convenient for operators to check the status of the device at any time. For interface display connected to mobile terminals, through wireless communication technology (such as Wi-Fi, Bluetooth, etc.), the data of the state single column is transmitted to mobile devices (such as smartphones, tablets, etc.) in real time. Users can view and monitor the device status through a dedicated application program, and perform remote control and management. Finally, the real-time device status interface is presented through different display methods (on-board display or mobile terminal display), providing clear and real-time device operation information for operators or users.

[0077] In the embodiments of the present application, as described above, the embodiments of the present application have at least the following technical effects:

[0078] The application develops a micro-control area and performs cascading, and is embedded in a central control chip; self-sampling of environmental data is performed, and real-time power supply tasks are generated in combination with consumption demand and power supply state, wherein the real-time power supply tasks include energy management dimensions and function control dimensions; the real-time power supply tasks are decomposed and packaged according to the function orientation, multi-area parallel decision-making is performed in the micro-control area, and a pre-control strategy is determined; the pre-control strategy responds to function components of the photovoltaic energy storage mobile fireproof power supply, and performs task response control.

[0079] In embodiment two, the application further provides a photovoltaic energy storage mobile fireproof power supply for performing the outdoor power supply method of fusing Beidou positioning in embodiment one, which comprises a box body and function components; the function components at least include a charging component, a lighting component, a Beidou positioning component and an SOS switch; wherein the charging component, the Beidou positioning component, the lighting component and the SOS switch are distributedly arranged in the box body, and the charging component contains an array of multifunctional components. Figure 2 It is a structural schematic diagram of the exemplary photovoltaic energy storage mobile fireproof power supply of the application.

[0080] It should be noted that the above-mentioned sequence of the embodiments of the application is only for description, and does not represent the advantages and disadvantages of the embodiments. The above describes a specific embodiment of the present application. 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-task processing and parallel processing are also possible or can be advantageous.

[0081] The above is only the preferred embodiment of the application, and does not limit the application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application shall be included in the protection scope of the application.

[0082] The present application and the drawings are only exemplary descriptions of the application, and are considered to cover any and all modifications, changes, combinations or equivalents within the scope of the application. Obviously, those skilled in the art can make various modifications and changes to the application without departing from the scope of the application. Thus, if these modifications and changes of the application belong to the scope of the application and its equivalents, the application intends to include these modifications and changes.

Claims

1. A method of outdoor energy supply fused with Beidou positioning, characterized in that, The method comprises: With the function orientation of the photovoltaic energy storage mobile fireproof power supply, micro control areas are developed and cascaded, and embedded in the central control chip; Self-sampling of environmental data is performed, and real-time energy supply tasks are generated in combination with energy consumption demand and energy supply state, wherein the real-time energy supply tasks comprise energy management dimensions and function control dimensions; The real-time energy supply tasks are decomposed and packaged according to the function orientation, multi-area parallel decision is performed in the micro control areas, and a pre-control strategy is determined; The pre-control strategy responds to the functional components of the photovoltaic energy storage mobile fireproof power supply, performs task response control, develops micro control areas and performs cascading, and is embedded in the central control chip, comprising: Determining single-thread control logic of an energy flow network and each functional component, wherein the energy flow network comprises a self-driven energy network and an external energy network; Developing the micro control areas and performing cascading according to the single-thread control logic and the energy flow network, wherein the micro control areas correspond to the functional components one by one, and the micro control areas are extensible; Developing the micro control areas and performing cascading comprises: cross-linking analysis of the single-thread control logic to determine thread cascading logic; decoupling of the energy flow network based on the functional components to determine a single-thread network; developing micro control areas according to the single-thread control logic and the single-thread network, and developing cascading control areas according to the thread cascading logic and the energy flow network; associating the micro control areas with the cascading control areas to perform central control chip writing based on programmed gate control.

2. The method of claim 1, wherein the method is a method of outdoor energy provision fused with Beidou positioning. Risk alarm decision in multi-area parallel decision comprises: Locating environmental risk elements according to the environmental data, wherein the environmental risk elements are identified with element risk levels; Generating active alarm instructions with the environmental risk elements; Performing risk control tracking management based on Beidou positioning according to active alarm instructions and passive alarm instructions, wherein the passive alarm instructions are alarm instructions triggered by active triggering of an SOS switch.

3. The method of claim 2, wherein the method is a method of outdoor energy provision fused with Beidou positioning. The photovoltaic energy storage mobile fireproof power supply is in communication connection with a rescue platform; By matching a micro processing module, active alarm instructions or passive alarm instructions are interpreted to determine alarm response modes; According to the alarm response modes, risk control tracking management is performed in Beidou positioning coordinates through communication interaction with the rescue platform.

4. The method of claim 3, wherein the method is a method of outdoor energy provision fused with Beidou positioning. Risk control tracking management in Beidou positioning coordinates comprises: Determining absolute coordinates through Beidou positioning, wherein the absolute coordinates are position coordinates in a world coordinate system; Determining a reference target, and converting the absolute coordinates to determine relative coordinates; Performing risk control tracking management according to the relative coordinates.

5. The method of claim 4, wherein the method is a method of outdoor energy provision fused with Beidou positioning. Performing risk control tracking management according to the relative coordinates comprises: Through a communication protocol, temporary interaction with a drone is established, the position of the drone is taken as a reference target, the absolute coordinates are converted to determine first relative coordinates, wherein the first relative coordinates are sent to a drone control system and a rescue platform; By a communication protocol, a second relative coordinate is determined according to a communication connection with the rescue platform, with a preset position range as a reference target, wherein the second relative coordinate is sent to the rescue platform.

6. The method of claim 1, wherein the method is a method of outdoor energy provision fused with Beidou positioning. A multi-zone parallel decision is executed, including: A power supply priority is introduced, wherein the self-driven energy network has a first power supply priority with the key functional components; A basic energy storage zone is set in the energy storage battery with the power supply priority as a constraint, wherein the energy storage capacity of the basic energy storage zone can meet the power supply of the self-driven energy network and the key functional components in a preset time zone.

7. The method of claim 1, wherein the method is a method of outdoor energy provision fused with Beidou positioning. After executing the task response control, including: The working state information is determined by performing operation state monitoring on the photovoltaic energy storage mobile fireproof power supply; The state single column is generated by performing structured integration with the working state information, wherein the state single column is updated in real time; The state single column is displayed on an interface, wherein the display mode includes on-board interface display of the photovoltaic energy storage mobile fireproof power supply or interface display of a mobile terminal.

8. A photovoltaic energy storage mobile fire protection power supply, characterized in that, The photovoltaic energy storage mobile fireproof power supply for implementing the outdoor energy supply method of the Beidou positioning fusion according to any one of claims 1-7, comprising: a box body, functional components; The functional components at least include a charging component, a lighting component, a Beidou positioning component and an SOS switch; Wherein, the charging component, the Beidou positioning component, the lighting component and the SOS switch are distributedly arranged in the box body, and the charging component includes an array of multifunctional components.

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