Modular intelligent unmanned aerial vehicle lighting system and adaptive environment control method thereof

Abstract

The modularized intelligent unmanned aerial vehicle lighting system comprises an unmanned aerial vehicle body, the unmanned aerial vehicle body is a light-weight folding vehicle body, adopts a carbon fiber-titanium alloy composite frame, is provided with a vehicle arm capable of being folded by 180 degrees and a hinge type magnetic attraction folding structure, the storage size is smaller than or equal to 15 cm * 15 cm * 5 cm, and the weight of the whole vehicle is smaller than or equal to 500 g; after unfolding, automatic locking is achieved, and the wind-resistant grade is larger than or equal to 7; the modularized intelligent unmanned aerial vehicle lighting system further comprises a modularized lighting unit, an intelligent lighting control system, a hybrid power supply system and a safety navigation module. The modularized lighting unit is integrated at the bottom of the machine body and comprises a magnetic type quick-release connector, a detachable LED array module, an infrared module and an ultraviolet module. The system is reasonable in design, can solve the problems of short endurance, single function, poor environmental adaptability and the like of traditional camping lighting equipment, and improves the intelligent level and user experience of an unmanned aerial vehicle lighting system.

Description

Technical Field

[0001] The present invention relates to the technical field of unmanned aerial vehicles (UAVs), and in particular to a modular intelligent UAV lighting system and an adaptive environmental control method thereof. Background Art

[0002] Lighting equipment is crucial for outdoor activities like camping. Traditional camping lighting equipment suffers from numerous shortcomings, including short battery life, limited functionality, and poor environmental adaptability. For example, ordinary flashlights or camp lanterns only provide fixed intensity and angle lighting, unable to automatically adjust to environmental changes. These devices are also inconvenient to use in inclement weather or complex terrain. Furthermore, these devices typically lack intelligent user interaction, failing to meet the convenience and intelligence demands of modern outdoor enthusiasts.

[0003] Drone technology has developed rapidly in recent years. It has quickly penetrated from the early military and consumer entertainment fields to many industries such as agriculture, logistics, emergency rescue, and urban management, becoming the core driving force of the low-altitude economy.

[0004] With the development of drone technology, the application of drones in outdoor lighting has great potential. However, existing drone lighting systems still have some problems in structural design, lighting effects, energy management, and safe navigation, which limit their widespread application in outdoor scenarios such as camping. To address these issues, we propose a modular intelligent drone lighting system and its adaptive environmental control method. Summary of the Invention

[0005] The purpose of this invention is to solve the problems existing in the prior art and propose a modular intelligent drone lighting system and its adaptive environmental control method, which can solve the problems of short battery life, single function, poor environmental adaptability, etc. of traditional camping lighting equipment, while improving the intelligence level of the drone lighting system and user experience.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A modular intelligent drone lighting system includes a lightweight folding drone fuselage, which uses a carbon fiber-titanium alloy composite frame, has 180-degree foldable arms, and a hinged magnetic folding structure. The system has a storage volume of ≤15cm×15cm×5cm, a total weight of ≤500g, and automatically locks when unfolded, with a wind resistance rating of ≥7.

[0008] The modular intelligent UAV lighting system also includes a modular lighting unit, an intelligent lighting control system, a hybrid power supply system and a safety navigation module;

[0009] The modular lighting unit is integrated into the bottom of the fuselage and includes a magnetic quick-release interface and detachable LED array modules, infrared modules, and ultraviolet modules, supporting hot-swap switching of light sources within 5 seconds;

[0010] The intelligent lighting control system includes a multispectral sensor and an environmental monitoring module. The intelligent lighting control system also includes an adaptive environment module driven by an AI algorithm to achieve brightness adjustment and dynamically adjust the light spot angle from 15° to 120° through a Fresnel lens array;

[0011] The hybrid power supply system includes a main solid-state lithium battery, a flexible solar film on the top of the machine, and a propeller wind resistance power generation device, and supports wireless charging;

[0012] The safety navigation module integrates a millimeter-wave radar and binocular vision fusion obstacle avoidance system, Beidou / GPS / GLONASS three-mode positioning and UWB indoor positioning chip, and a dynamic path planning algorithm based on reinforcement learning.

[0013] Preferably, the drone body has an IP68 protection design:

[0014] Nano-coating waterproof, supports 50mm / h heavy rain environment;

[0015] Resistant to dust particles ≤50μm and low temperature of -30℃;

[0016] It adopts LoRa+Wi-Fi6 dual-band communication, with a maximum control distance of 5km and a packet loss rate of ≤0.1%.

[0017] Preferably, the light source switching of the modular lighting unit automatically identifies the module type and loads the corresponding driver protocol through the electrical contacts of the magnetic quick-release interface.

[0018] Preferably, the intelligent lighting control system further includes:

[0019] Time of Flight (TOF) sensor for identifying gestures to adjust brightness or switch modes;

[0020] Microphone array, used to locate the sound source with an accuracy of ±0.5m and trigger the SOS strobe and automatically fly towards the sound source.

[0021] Preferably, the voice-controlled positioning function of the microphone array triggers a three-level response protocol by analyzing the direction and intensity of the sound source:

[0022] First-level response: Adjust the lighting angle toward the sound source;

[0023] Secondary response: fly to and hover 3 meters above the sound source;

[0024] Level 3 response: Start SOS strobe and send coordinates to the control terminal.

[0025] Preferably, in the intelligent lighting control system, the adaptive environment module algorithm uses a convolutional neural network (CNN) to model the ambient light distribution in real time and dynamically control the beam angle of the Fresnel lens array.

[0026] Preferably, in the hybrid power supply system, the propeller wind resistance power generation device charges the main battery through the induced electromotive force generated by the passive rotation of the propeller, and the charging circuit is physically isolated from the flight control system.

[0027] Preferably, the safety navigation module includes an emergency protocol:

[0028] When the battery level is less than 10%, the system will automatically return to home and activate the ground beacon light.

[0029] It has a built-in first aid kit airdrop pod with a load capacity of 200g, which can be delivered to the specified coordinates via APP commands.

[0030] An adaptive environmental control method for a modular intelligent unmanned aerial vehicle lighting system, the adaptive environmental control method comprising:

[0031] S1, collects environmental data in real time through multispectral sensors and environmental monitoring modules, including ambient light intensity, temperature and humidity, air pressure, and motion information;

[0032] S2. The collected data is transmitted to the main control chip of the drone, which runs a real-time ambient light distribution modeling algorithm based on a convolutional neural network (CNN) to analyze and process the environmental data.

[0033] S3. Based on the analysis results, the driving circuit of the modular lighting unit is adjusted to achieve automatic brightness adjustment and dynamic control of the light spot shape;

[0034] S4, using the TOF sensor to identify user gesture commands, and adjusting brightness and switching lighting modes according to preset commands;

[0035] S5: Use the microphone array to locate the sound of the distress call, automatically fly to the sound source and turn on the SOS strobe mode;

[0036] S6: When the drone's battery power is less than 10%, the return program is automatically triggered and the ground beacon light is turned on;

[0037] S7. Control the built-in first aid kit airdrop cabin to airdrop the first aid kit according to the specified coordinates input by the APP device.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The modular intelligent UAV lighting system of the present invention realizes a lightweight folding fuselage and modular lighting units through structural design innovation, which is easy to carry and flexible to replace the modular lighting units to meet the needs of different scenarios. The adaptive environmental algorithm of the intelligent lighting system can automatically adjust the brightness and light spot shape according to the ambient light intensity and other environmental factors to provide the best lighting effect. At the same time, the human-computer interaction mode makes the operation more convenient and intelligent. The hybrid power supply system effectively extends the flight time of the UAV, and the multiple charging methods improve the flexibility and reliability of energy acquisition. The design of the safety and navigation module ensures the safety and accuracy of the UAV during flight, and can achieve obstacle avoidance and precise positioning in complex environments. The high protection level and anti-interference communication capability enable the UAV to adapt to various harsh environments and ensure the stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a schematic diagram of the structure of a modular intelligent UAV lighting system proposed by the present invention;

[0041] Figure 2 This is a flow chart of the adaptive environmental control method for a modular intelligent UAV lighting system proposed in the present invention. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0043] Reference Figure 1-Figure 2 A modular intelligent drone lighting system includes a drone body. The drone body is a lightweight, folding frame constructed from a carbon fiber-titanium alloy composite frame. Precise material ratios and processing techniques are employed during the manufacturing process to ensure the frame's strength and lightweight performance. The drone body features 180° foldable arms and a hinged magnetic folding structure. The folding structure utilizes high-precision hinges and magnetic devices, and has undergone multiple tests and optimizations to ensure reliable folding and locking, as well as wind resistance. The hinged magnetic folding structure mechanically self-locks after unfolding, requiring no additional operation. The storage volume is ≤15cm×15cm×5cm, the total weight is ≤500g, and it automatically locks after unfolding, with a wind resistance rating of ≥7. In practical applications, users can easily fold and store the drone in a backpack or other carrying equipment, making it convenient for carrying during outdoor activities such as camping. When unfolded, the arms automatically lock, allowing immediate use.

[0044] The drone body has an IP68 protection design: the entire body is nano-coated and waterproof, and can withstand 50mm / h heavy rain environments; it can withstand sand and dust particles ≤50μm and low temperatures of -30℃.

[0045] Specifically, the entire drone's nanocoating is prepared using specialized materials and processes to ensure its waterproof, dustproof, and corrosion-resistant properties. In harsh environments like heavy rain and sandstorms, the nanocoating effectively protects the drone's internal electronic components and structural parts, ensuring their proper operation. In low-temperature environments, the drone maintains stable operation even at temperatures as low as -30°C by optimizing battery performance and the operating temperature range of its electronic components.

[0046] The drone utilizes LoRa and Wi-Fi 6 dual-band communication, offering a maximum control range of 5km in open areas and a packet loss rate of ≤0.1%. Specifically, the design and optimization of the LoRa and Wi-Fi 6 dual-band communication modules ensure stable communication connections in complex electromagnetic environments. Advanced signal processing techniques and anti-interference algorithms reduce packet loss in signal transmission, ensuring real-time communication between the drone and user devices.

[0047] The modular intelligent drone lighting system also includes modular lighting units, intelligent lighting control systems, hybrid power supply systems and safety navigation modules.

[0048] The modular lighting unit, integrated into the bottom of the device, includes a magnetic quick-release connector and removable LED array, infrared, and UV modules. It supports switching between three light sources: LED array (100-500 lumens), infrared (for night vision assistance), and UV (for insect repellent mode). The magnetic quick-release connector includes standardized circuit contacts that automatically verify the electrical connection upon installation. Light source switching automatically detects the module type and loads the corresponding driver protocol via the magnetic quick-release connector's electrical contacts. Hot-swappable modules are supported, allowing switching between light source types within 5 seconds. The modular lighting unit utilizes standardized connectors and modular circuitry for easy production and replacement. The LED array, infrared, and UV light sources have undergone rigorous performance testing to ensure optimal lighting effects and functionality in various scenarios. The magnetic quick-release connector utilizes high-strength magnetic material to ensure stable connection and quick removal. Users can quickly swap modular lighting units in 5 seconds to meet specific needs, such as nighttime illumination, night vision observation, or insect repellent.

[0049] The intelligent lighting control system includes a multispectral sensor (visible light / infrared / ultraviolet) and an environmental monitoring module (temperature, humidity, air pressure, and motion detection). The intelligent lighting control system also includes an adaptive environmental module driven by an AI algorithm to achieve brightness adjustment and dynamically adjust the light spot angle from 15° to 120° through a Fresnel lens array. That is, when adjusting the brightness, it automatically adjusts within the range of 0.1-500 lux based on the ambient light intensity, with an error of ≤±5%. When controlling the light spot shape, the Fresnel lens array dynamically changes the beam angle, focusing from 15° to a wide angle of 120°.

[0050] Specifically, the multispectral sensor and environmental monitoring module collect environmental data in real time and transmit it to the drone's main control chip. This chip runs a real-time ambient light distribution modeling algorithm based on a convolutional neural network (CNN) to analyze and process information such as ambient light intensity, object position, and motion. Based on this analysis, the driver circuits of the modular lighting units are adjusted to automatically adjust brightness and dynamically control the shape of the light spot. For example, in dimly lit environments, the brightness of the LED array is automatically increased; when long-distance illumination is required, the light spot is adjusted to a spotlight mode. Furthermore, the motion detection function of the environmental monitoring module is linked to the infrared light source, automatically increasing the lighting in that area when biological movement is detected.

[0051] In the intelligent lighting control system, the adaptive environment module algorithm uses a convolutional neural network (CNN) to model the ambient light distribution in real time and dynamically control the beam angle of the Fresnel lens array.

[0052] The intelligent lighting control system also includes a TOF sensor and a microphone array. The TOF (Time of Flight) sensor is used to recognize gesture commands, such as circling to adjust brightness or waving to switch modes. The microphone array is used to locate sound sources with an accuracy of ±0.5m, triggering an SOS strobe and automatically flying toward the sound source.

[0053] Specifically, the TOF sensor monitors user gestures in real time by emitting and receiving light pulses. When the user makes specific gestures, such as drawing a horizontal circle to adjust LED brightness or waving to cycle through the LED / infrared / ultraviolet light source modes, the sensor transmits a signal to the main control chip, which then performs the corresponding operation according to preset instructions. The microphone array monitors the surrounding sounds in real time. When a cry for help is detected, the sound localization algorithm calculates the source's location. Based on this positioning information, the drone automatically flies to the sound source, activates SOS strobe mode, and simultaneously sends the location information to the user's app device.

[0054] The microphone array's voice-controlled positioning function triggers a three-level response protocol by analyzing the direction and intensity of the sound source: Level 1 response: adjust the lighting angle toward the sound source; Level 2 response: fly to 3 meters above the sound source and hover; Level 3 response: activate the SOS strobe and send the coordinates to the control end.

[0055] The hybrid power supply system includes a main solid-state lithium battery, a flexible rooftop solar film, and a propeller wind resistance power generation device, and supports wireless charging. The solid-state lithium battery serves as the main battery, with an energy density of 400Wh / kg, supporting 1.5 hours of full-power lighting. The flexible solar film provides emergency power supply with an efficiency of ≥25%, and can replenish 30% of the power in 5 hours of sunshine. The propeller wind resistance power generation can replenish 5% of the power per hour when the wind speed is ≥3m / s. Capable of solar-kinetic dual-mode charging, the propeller wind resistance power generation device charges the main battery through the induced electromotive force generated by the passive rotation of the propeller, and the charging circuit is physically isolated from the flight control system.

[0056] Specifically, the selection of solid-state lithium batteries and the design of the management system ensure a stable 1.5-hour flight time under full-power lighting. The battery management system monitors the battery charge and status in real time, and automatically switches to emergency power supply mode when the charge falls below the set value. The installation position and angle of the flexible solar film have been optimized to maximize the reception of solar energy. In the presence of sunlight, the solar film converts light energy into electrical energy to charge the battery. At the same time, when the drone is flying, the propeller's wind resistance power generation device converts wind energy into electrical energy to replenish the battery. The wireless charging function uses a wireless charging module that complies with the Qi standard, and users can place the drone on a wireless charging device for charging when needed.

[0057] The safety navigation module integrates a millimeter-wave radar and binocular vision fusion obstacle avoidance system, Beidou / GPS / GLONASS tri-mode positioning, a UWB indoor positioning chip, and a dynamic path planning algorithm based on reinforcement learning. This millimeter-wave radar (77GHz) and binocular vision fusion obstacle avoidance system has a minimum recognition distance of 0.1m and a nighttime obstacle avoidance success rate of ≥99%. Beidou / GPS / GLONASS tri-mode positioning, combined with a UWB indoor positioning chip, offers 10cm accuracy and supports hovering in signal-free environments. A dynamic path planning algorithm based on reinforcement learning (RL) allows for navigation around complex obstacles such as tents and trees.

[0058] Specifically, the millimeter-wave radar and binocular vision system work together to monitor obstacles around the drone in real time. When an obstacle is detected, a dynamic path planning algorithm based on reinforcement learning (RL) plans a safe flight path based on the location and shape of the obstacle, allowing the drone to fly around it.

[0059] The combination of the BeiDou / GPS / GLONASS tri-mode positioning system and the UWB indoor positioning chip ensures accurate positioning of the drone in all environments. In signal-deprived environments, the UWB indoor positioning chip and visual SLAM technology enable the drone to hover and navigate precisely.

[0060] The safety navigation module includes an emergency protocol: when the battery level is less than 10%, the aircraft will automatically return home and activate the ground beacon light, which will flash red and emit a buzzer. It also has a built-in airdrop pod for first aid kits with a load capacity of 200g, which can be delivered to designated coordinates via APP commands.

[0061] Specifically, when the drone's battery level is less than 10%, the main control chip automatically triggers the return program and simultaneously starts the ground beacon light, which flashes red and beeps, prompting the user that the drone is about to return.

[0062] The built-in first aid kit airdrop pod is controlled via an app. Once the user enters the specified coordinates, the drone flies to the target location and drops the first aid kit, providing essential emergency support. The first aid kit airdrop pod uses a pressure-sensitive release mechanism, triggering the pod to open based on the pressure differential upon reaching the target coordinates.

[0063] The present invention also discloses an adaptive environment control method for a modular intelligent unmanned aerial vehicle lighting system, the adaptive environment control method comprising:

[0064] S1, collects environmental data in real time through multispectral sensors and environmental monitoring modules, including ambient light intensity, temperature and humidity, air pressure, and motion information;

[0065] S2. The collected data is transmitted to the main control chip of the drone, which runs a real-time ambient light distribution modeling algorithm based on a convolutional neural network (CNN) to analyze and process the environmental data.

[0066] S3. Based on the analysis results, the driving circuit of the modular lighting unit is adjusted to achieve automatic brightness adjustment and dynamic control of the light spot shape;

[0067] S4, using the TOF sensor to identify user gesture commands, and performing operations such as brightness adjustment and lighting mode switching according to preset commands;

[0068] S5: Use the microphone array to locate the sound of the distress call, automatically fly to the sound source and turn on the SOS strobe mode;

[0069] S6: When the drone's battery power is less than 10%, the return program is automatically triggered and the ground beacon light is turned on;

[0070] S7. Control the built-in first aid kit airdrop cabin to airdrop the first aid kit according to the specified coordinates input by the APP device.

[0071] The present invention can be explained through the following operation mode:

[0072] In this modular intelligent drone lighting system, when the user removes the drone, the arms automatically unlock and unfold. The magnetic device and hinges work together to achieve mechanical self-locking, eliminating the need for additional operation. Once unfolded, the system boasts a wind resistance rating of ≥ 7 and is ready for immediate use. It also boasts strong environmental adaptability, enabling stable operation even in harsh environments.

[0073] Users can replace the LED array, infrared, and ultraviolet modules in 5 seconds through the magnetic quick-release interface. The interface contains standardized circuit contacts and automatically completes electrical connection verification during installation.

[0074] Multi-sensor data collection:

[0075] Multispectral sensor: real-time monitoring of visible light, infrared, and ultraviolet light intensity.

[0076] Environmental monitoring module: collects temperature, humidity, air pressure, and motion information (such as biological movement).

[0077] TOF sensor: recognizes gesture commands (such as drawing a circle to adjust brightness and waving to switch modes).

[0078] Microphone array: locates the sound source (accuracy ±0.5m) and triggers an SOS response.

[0079] AI algorithm-driven regulation:

[0080] Adaptive brightness: Automatically adjusts according to ambient light intensity (0.1-500 lux), with an error of ≤±5%. For example, in a dark environment, the LED brightness is increased.

[0081] Dynamic Light Spot Adjustment: The Fresnel lens array allows the beam angle to be adjusted from a 15° focused beam to a 120° wide-angle beam. It switches to focused mode for long-distance illumination and to wide-angle for close-range coverage.

[0082] Motion and sound source linkage: When biological movement or calls for help are detected, the drone automatically increases the lighting in the target area, turns on the SOS strobe light, and flies towards the sound source.

[0083] In the power supply system:

[0084] Solid-state lithium battery: Energy density 400Wh / kg, full-power lighting life of 1.5 hours. The battery management system monitors the battery level in real time and triggers return when it falls below 10%.

[0085] Solar charging: The flexible solar film on the top of the machine can replenish 30% of the power in 5 hours of sunshine, providing continuous power in emergencies.

[0086] Wind resistance power generation: The passive rotation of the propeller replenishes 5% of the power per hour. The charging circuit is physically isolated from the flight control system to ensure safety.

[0087] Wireless Charging: Supports Qi standard, allowing for quick energy replenishment via wireless devices.

[0088] The obstacle avoidance system uses 77GHz millimeter-wave radar + binocular vision fusion, with a minimum recognition distance of 0.1m and a nighttime obstacle avoidance success rate of ≥99%. It uses a reinforcement learning algorithm to dynamically plan paths and bypass obstacles such as tents and trees.

[0089] The positioning system uses Beidou / GPS / GLONASS triple-mode (accuracy 10cm) + UWB indoor positioning, and achieves hovering through visual SLAM in a signal-free environment.

[0090] When the drone's battery level is less than 10%, it will automatically return home and start the ground beacon light, which will flash red and emit a buzzer to alert the user.

[0091] It can also perform airdrops of first aid kits. After the APP specifies the coordinates, the drone flies to the target point and airdrops a 200g first aid kit through the air pressure sensing release mechanism for emergency rescue.

[0092] The modular intelligent UAV lighting system and its adaptive environment control method include the following processes:

[0093] Data collection: Multispectral sensors and environmental monitoring modules acquire data such as light intensity, temperature, humidity, and motion in real time.

[0094] Data analysis: The main control chip uses the CNN algorithm to model the ambient light distribution and identify the position and movement trends of objects.

[0095] Lighting adjustment: Adjust the brightness and spot angle based on the analysis results, such as focusing for long-distance lighting or wide-angle coverage for large areas.

[0096] Gesture interaction: The TOF sensor recognizes gesture commands, such as drawing a circle to adjust the brightness and waving to switch the lighting mode.

[0097] Sound source response: The microphone array locates the call for help, and the drone flies towards the sound source and turns on the SOS strobe, sending the coordinates to the app.

[0098] Low battery processing: trigger the return program, and the beacon light indicates the location.

[0099] Emergency airdrop: Airdrop the first aid kit according to the APP instructions, and the air pressure sensor opens the cabin to ensure accurate delivery.

[0100] The drone system achieves multi-functional rapid switching through modular design, relies on multi-sensor fusion and AI algorithms to dynamically adapt to the environment, and combines hybrid power supply and intelligent navigation to ensure reliability in complex scenarios, ultimately forming a closed-loop workflow of "environmental perception-intelligent decision-making-precise execution", which is suitable for outdoor rescue, night operations, emergency lighting and other scenarios.

[0101] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A modular intelligent UAV lighting system, comprising a UAV fuselage, characterized in that: The drone has a lightweight foldable fuselage, made of a carbon fiber-titanium alloy composite frame, with 180° foldable arms and a hinged magnetic folding structure. The storage volume is ≤15cm×15cm×5cm, the weight of the whole machine is ≤500g, it automatically locks after unfolding, and has a wind resistance level of ≥7. The modular intelligent UAV lighting system also includes a modular lighting unit, an intelligent lighting control system, a hybrid power supply system and a safety navigation module; The modular lighting unit is integrated into the bottom of the fuselage and includes a magnetic quick-release interface and detachable LED array modules, infrared modules, and ultraviolet modules, supporting hot-swap switching of light sources within 5 seconds; The intelligent lighting control system includes a multispectral sensor and an environmental monitoring module. The intelligent lighting control system also includes an adaptive environment module driven by an AI algorithm to achieve brightness adjustment and dynamically adjust the light spot angle from 15° to 120° through a Fresnel lens array; The hybrid power supply system includes a main solid-state lithium battery, a flexible solar film on the top of the machine, and a propeller wind resistance power generation device, and supports wireless charging; The safety navigation module integrates a millimeter-wave radar and binocular vision fusion obstacle avoidance system, Beidou / GPS / GLONASS three-mode positioning and UWB indoor positioning chip, and a dynamic path planning algorithm based on reinforcement learning.

2. A modular intelligent UAV lighting system according to claim 1, characterized in that: The drone body has an IP68 protection design: Nano-coating waterproof, supports 50mm / h heavy rain environment; Resistant to dust particles ≤50μm and low temperature of -30℃; It adopts LoRa+Wi-Fi6 dual-band communication, with a maximum control distance of 5km and a packet loss rate of ≤0.1%.

3. The modular intelligent UAV lighting system according to claim 1, characterized in that: The light source switching of the modular lighting unit automatically identifies the module type and loads the corresponding driver protocol through the electrical contacts of the magnetic quick-release interface.

4. The modular intelligent UAV lighting system according to claim 1, characterized in that: The intelligent lighting control system further comprises: Time of Flight (TOF) sensor for identifying gestures to adjust brightness or switch modes; Microphone array, used to locate the sound source with an accuracy of ±0.5m and trigger the SOS strobe and automatically fly towards the sound source.

5. The modular intelligent UAV lighting system according to claim 4, characterized in that: The microphone array's voice-activated positioning function triggers a three-level response protocol by analyzing the direction and intensity of the sound source: First-level response: Adjust the lighting angle toward the sound source; Secondary response: fly to and hover 3 meters above the sound source; Level 3 response: Start SOS strobe and send coordinates to the control terminal.

6. The modular intelligent UAV lighting system according to claim 1, characterized in that: In the intelligent lighting control system, the adaptive environment module algorithm uses a convolutional neural network (CNN) to model the ambient light distribution in real time and dynamically control the beam angle of the Fresnel lens array.

7. The modular intelligent UAV lighting system according to claim 1, characterized in that: In the hybrid power supply system, the propeller wind resistance power generation device charges the main battery through the induced electromotive force generated by the passive rotation of the propeller, and the charging circuit is physically isolated from the flight control system.

8. The modular intelligent UAV lighting system according to claim 1, characterized in that: The safety navigation module contains emergency protocols: When the battery level is less than 10%, the system will automatically return to home and start the ground beacon light. It has a built-in first aid kit airdrop pod with a load capacity of 200g, which can be delivered to the specified coordinates via APP commands.

9. An adaptive environmental control method for a modular intelligent unmanned aerial vehicle lighting system, comprising the modular intelligent unmanned aerial vehicle lighting system according to any one of claims 1 to 8, characterized in that: The adaptive environment control method comprises: S1, collects environmental data in real time through multispectral sensors and environmental monitoring modules, including ambient light intensity, temperature and humidity, air pressure, and motion information; S2. The collected data is transmitted to the main control chip of the drone, which runs a real-time ambient light distribution modeling algorithm based on a convolutional neural network (CNN) to analyze and process the environmental data. S3. Based on the analysis results, the driving circuit of the modular lighting unit is adjusted to achieve automatic brightness adjustment and dynamic control of the light spot shape; S4, using the TOF sensor to identify user gesture commands, and adjusting brightness and switching lighting modes according to preset commands; S5: Use the microphone array to locate the sound of the distress call, automatically fly to the sound source and turn on the SOS strobe mode; S6: When the drone's battery power is less than 10%, the return program is automatically triggered and the ground beacon light is turned on; S7. Control the built-in first aid kit airdrop cabin to airdrop the first aid kit according to the specified coordinates input by the APP device.

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