A solar warning system and method for a multi-scene air obstruction light along a line of a regular-speed train

Abstract

A solar-powered warning system and method for conventional train line and multi-scenario aviation obstruction lights, relating to the field of aviation safety warning technology, includes a solar power supply module, an aviation obstruction light module, an environmental perception module, an intelligent control module, and a communication module. The solar power supply module provides power to the system; the aviation obstruction light module adjusts warning signals according to environmental parameters; the environmental perception module collects environmental data; the intelligent control module coordinates the operation of each module based on a preset algorithm; and the communication module enables data interaction between the system and a remote monitoring center. Using solar power eliminates the need for laying mains power lines, reducing construction costs and achieving sustainable energy utilization. The MPPT function of the intelligent charging controller improves the efficiency of solar energy utilization, and the high performance of the lithium iron phosphate battery ensures stable power storage and supply, significantly reducing the system's energy consumption.

Description

Technical Field

[0001] This invention relates to the field of aviation safety warning technology, specifically to a solar-powered warning system and method for aviation obstruction lights along conventional train lines and in various scenarios. Background Technology

[0002] With the continued booming development of the global aviation industry, low-altitude flight activities are becoming increasingly frequent. In recent years, drones have been widely used in aerial surveying, logistics distribution, and agricultural plant protection, and low-altitude tourism projects are also emerging in various places. More and more tourists are choosing to take helicopters, light aircraft, and other aircraft to experience unique aerial sightseeing tours. Against this backdrop, ensuring the safety of low-altitude flights has become a top priority. There are many scenarios along conventional railway lines where aviation obstruction warnings are needed. For example, large bridges along railway lines have towering towers that are difficult to distinguish from the field of vision of low-altitude aircraft; signal towers provide critical support for railway communications, but their prominent height poses a potential risk to low-altitude flights; and there are also tall buildings along the lines, scattered around railways in cities and rural areas. In addition, in many other scenarios, communication towers stand in open fields or urban areas, constantly emitting signals in all directions; chimneys in industrial areas emit smoke day and night, and their height and outline are difficult to discern in complex weather conditions; the huge blades of wind turbines pose a serious threat to the safety of low-altitude aircraft when they rotate. Traditional aviation obstruction warning systems have revealed many obvious shortcomings. In terms of power supply, most rely on mains power. For areas along conventional train lines, where the distribution is extremely wide and power lines need to traverse complex terrain (mountains, rivers, canyons, etc.), not only is a huge amount of money required for infrastructure construction such as cable laying and pole erection, but the construction difficulty is also extremely high, requiring overcoming numerous obstacles posed by the geographical environment. Moreover, in the event of power outages, line faults, or other emergencies, the obstruction lights cannot function properly, rendering their warning function completely ineffective. In terms of functionality, existing solar-powered aviation obstruction light systems are relatively simple. They can usually only achieve simple light-controlled on / off switching based on light intensity, and cannot accurately adapt to the complex environments of different scenarios. For example, in rainy weather, rainwater adhering to the lamp cover may reduce light penetration, while the lamp body cannot automatically increase brightness; in foggy weather, visibility is extremely low, and existing obstruction lights cannot adjust their flashing frequency according to the fog concentration; in dusty weather, dust particles are everywhere, and ordinary obstruction lights are difficult to effectively warn. Meanwhile, it is severely lacking in intelligent interaction with the surrounding environment, unable to make adaptive adjustments based on information such as the layout of surrounding buildings and traffic flow, and lacks versatility and flexibility in multi-scenario applications, making it difficult to meet diverse low-altitude flight safety warning needs. In order to solve the above technical problems, a new technical solution is proposed. Summary of the Invention

[0003] To address the problems mentioned in the background section, a solar-powered warning system and method for aviation obstruction lights along conventional train lines and in various scenarios is proposed. This system solves the problems of inconvenient power supply, limited functionality, and poor adaptability of existing aviation obstruction light warning systems in applications along conventional train lines and in various scenarios. By utilizing solar power and combining it with intelligent control technology, efficient and reliable warnings of obstacles in different scenarios can be achieved, improving low-altitude flight safety.

[0004] This invention proposes a solar-powered warning system for conventional train lines and multi-scenario aviation obstruction lights, comprising a solar power supply module, an aviation obstruction light module, an environmental perception module, an intelligent control module, and a communication module. The solar power supply module provides power to the system, the aviation obstruction light module adjusts the warning signal according to environmental parameters, the environmental perception module collects environmental data, the intelligent control module coordinates the operation of each module based on a preset algorithm, and the communication module enables data interaction between the system and a remote monitoring center.

[0005] As a preferred technical solution, the solar power supply module includes a high-efficiency monocrystalline silicon solar panel, an intelligent charging controller, and a lithium iron phosphate battery; the intelligent charging controller has an MPPT (maximum power point tracking) function, which can optimize the power output of the solar panel in real time and provide overcharge or over-discharge protection for the battery.

[0006] As a preferred technical solution, the aviation obstruction light module adopts an ultra-high brightness LED light source and achieves 360-degree all-round light emission through optical design; the luminous intensity and flashing frequency of the LED light source can be adjusted according to the importance of the scene, and the warning parameters are automatically enhanced in severe weather.

[0007] As a preferred technical solution, the environmental perception module integrates a light sensor, a temperature and humidity sensor, a rain sensor, a fog sensor, and a dust sensor; the sensors collect environmental parameters in real time and transmit them to the intelligent control module as the basis for adjusting the working status of the aviation obstruction lights.

[0008] As a preferred technical solution, the intelligent control module is based on a microprocessor and incorporates a multi-scenario adaptive adjustment algorithm. It can dynamically adjust the luminous intensity and flashing frequency of the aviation obstruction lights and the charging and discharging strategy of the solar power supply module according to environmental parameters. At the same time, it can receive and execute remote monitoring commands through a wireless communication module.

[0009] As a preferred technical solution, the communication module adopts 4G or 5G and LoRa converged communication technology to achieve long-distance low-power data transmission; multiple aviation obstruction lights can form a collaborative working network through the communication module, and when a single device detects an anomaly, it can trigger surrounding devices to synchronously adjust warning parameters.

[0010] A solar-powered warning method for conventional train lines and multi-scenario aviation obstruction lights includes the following steps: S1. Initialization: After the system is powered on, it reads the preset parameters, performs self-tests on each module, and sends alarm information through the communication module if a fault is detected. S2. Solar power management: Utilizes MPPT technology to optimize solar charging, monitors battery power in real time, and automatically reduces aviation obstruction light power consumption when the power level is below a threshold; S3. Environmental perception and adaptive adjustment: Continuously collect environmental parameters, automatically start and stop aviation obstruction lights according to light intensity, and dynamically adjust the light intensity and flashing frequency according to weather parameters such as rain, fog, and dust storms; S4. Communication and Remote Monitoring: Upload system status data to the remote monitoring center periodically, and receive remote commands to remotely adjust parameters.

[0011] As a preferred technical solution, in step S3, when the rain sensor detects that the rainfall exceeds the set threshold, the luminous intensity of the aviation obstruction light is increased to 1.5 times the initial value and the flashing frequency is increased to 1.2 times the initial value; when the fog sensor detects a dense fog level, the luminous intensity is increased to 2 times the initial value and the flashing frequency is increased to 1.5 times the initial value.

[0012] As a preferred technical solution, in step S4, the remote monitoring center can set differentiated parameters for aviation obstruction lights in different scenarios according to the height and importance level of the obstacle. For example, the warning parameters for bridges along ordinary train lines are higher than those for ordinary buildings.

[0013] As a preferred technical solution, the system has a multi-device collaborative working mechanism. When a certain aviation obstruction light detects a malfunction or extreme weather, it triggers adjacent devices to enhance the warning signal through the communication module, ensuring the continuity of the area warning effect.

[0014] Compared with the prior art, the beneficial effects of the present invention are: Powered by solar energy, the system eliminates the need for mains power lines, reducing construction costs and enabling sustainable energy use. The MPPT function of the intelligent charging controller improves solar energy utilization efficiency, while the high performance of the lithium iron phosphate batteries ensures stable power storage and supply, significantly reducing system energy consumption.

[0015] By monitoring environmental parameters in real time through the environmental perception module and automatically adjusting the luminous intensity and flashing frequency of the aviation obstruction lights according to different environmental conditions using the intelligent control module, the system can provide the best warning effect in various complex environments, effectively improving the safety of low-altitude flight.

[0016] The communication module enables real-time data interaction between the system and the remote monitoring center, allowing staff to remotely monitor and manage the system, promptly understand its operational status, and quickly respond to and handle faults and anomalies, thereby improving system reliability and maintenance efficiency.

[0017] This system is applicable to various obstacles along conventional train lines, such as bridges, signal towers, and buildings, as well as communication towers, chimneys, and wind turbines in other scenarios. It has broad versatility and flexibility, and can meet the aviation obstacle warning needs in different scenarios.

[0018] The selected LED light source has a long lifespan, and each module in the system has been carefully designed and selected, with good resistance to impact, lightning, sunlight, rain and snow. It can withstand the onslaught of severe weather such as typhoons and hail, ensuring that the system can work stably and reliably in various extreme environments, greatly reducing maintenance costs. Detailed Implementation

[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] A solar-powered warning system for conventional train lines and multi-scenario aviation obstruction lights includes a solar power supply module, an aviation obstruction light module, an environmental perception module, an intelligent control module, and a communication module. The solar power supply module provides power to the system, the aviation obstruction light module adjusts the warning signal according to environmental parameters, the environmental perception module collects environmental data, the intelligent control module coordinates the operation of each module based on a preset algorithm, and the communication module enables data interaction between the system and a remote monitoring center.

[0021] As a preferred technical solution, the solar power supply module includes a high-efficiency monocrystalline silicon solar panel, an intelligent charging controller, and a lithium iron phosphate battery. The intelligent charging controller has an MPPT (Maximum Power Point Tracking) function, which can optimize the power output of the solar panel in real time and provide overcharge or over-discharge protection for the battery. In terms of energy supply and management principles, during the photoelectric conversion stage, the high-efficiency monocrystalline silicon solar panel converts solar radiation energy into DC power through the photovoltaic effect. Its photoelectric conversion efficiency can reach over 20%, and it can maintain stable output even under different incident light angles (such as oblique or scattered light). The intelligent charging controller uses the MPPT algorithm to scan the voltage-current curve of the solar panel in real time and locks the maximum power output point (e.g., automatically adjusting the operating voltage from 18V to 16V to match the peak power when the light intensity changes). Simultaneously, a three-stage charging mode (constant current charging → constant voltage charging → float charging maintenance) is adopted to avoid overcharging of the battery and subsequent plate sulfation. The lithium iron phosphate battery pack is combined in parallel or series (e.g., a 48V or 100Ah system) to store surplus energy during the day. At night or in rainy weather, the battery supplies power to the system through the discharge circuit, with the discharge cutoff voltage set to 42V (to avoid over-discharge and damage to the battery). When the battery charge is below 20%, the intelligent control module triggers the energy-saving mode, reducing the LED power from 50W to 25W and the flashing frequency from 60 times per minute to 30 times per minute. At the same time, non-core sensors (such as dust sensors) are turned off to ensure that the system can maintain continuous operation for at least 72 hours. During periods of sufficient light, if the environmental sensing module detects no change in environmental parameters for 2 consecutive hours (such as sunny days without rain or fog), the system automatically enters a low-power sleep state (power consumption <1W), waking up every 10 minutes to detect light intensity and avoid unnecessary energy consumption.

[0022] As a preferred technical solution, the aviation obstruction light module adopts an ultra-high brightness LED light source and achieves 360-degree all-round light emission through optical design; the luminous intensity and flashing frequency of the LED light source can be adjusted according to the importance of the scene, and the warning parameters are automatically enhanced in severe weather. The environmental perception and warning adjustment principle involves a light sensor (such as a photoresistor + operational amplifier circuit) that monitors ambient illuminance in real time. When the detected value is <100Lux (default dusk threshold), a high-level signal is output to the intelligent control module to trigger the light-on command; when it is >3000Lux (default morning threshold), the light-off command is triggered. The rain sensor detects the frequency of raindrop impacts through a piezoelectric ceramic plate. When the number of impacts per unit time is >5 times or per second, it is determined to be moderate rain, triggering the first-level enhancement mode; when it is >10 times or per second, it is determined to be heavy rain, triggering the second-level enhancement mode. The fog sensor uses the principle of infrared photodiodes. When the attenuation rate of infrared light caused by fog is >60%, it is determined to be light fog; when it is >80%, it is determined to be dense fog, corresponding to different luminous intensity gain coefficients (e.g., light fog gain 1.2 times, dense fog gain 2 times). The dust sensor uses the principle of laser scattering. When the concentration of suspended particles in the air is >500μg or m³, it is determined to be dusty weather, and the flashing frequency is automatically increased to 90 times or per minute (normally 60 times or per minute). Temperature and humidity sensors (such as the DHT11 chip) provide real-time feedback on ambient temperature and humidity. When the temperature is >40℃ and the humidity is >85% RH, the intelligent control module automatically reduces the LED operating current from 1.5A to 1.2A to lower the junction temperature and extend its lifespan. Simultaneously, it compensates for luminous intensity decay through algorithms (e.g., when the current decreases by 20%, the drive pulse width increases by 20% to maintain luminous flux). The default luminous intensity is 5000 cd, and the flashing frequency is 60 times per minute, suitable for sunny days or ordinary building scenarios. In rainy weather: depending on the rainfall level, the luminous intensity increases to 7500 cd (moderate rain) and 10000 cd (heavy rain), and the flashing frequency increases to 72 times per minute and 84 times per minute, penetrating the rain with high-frequency, strong light. In foggy or dusty weather: the luminous intensity increases to 10000 cd (dense fog) and 8000 cd (dust), and the flashing frequency is fixed at 90 times per minute, using high-contrast flashing to overcome low visibility obstacles. Key facilities such as bridges and communication towers along the regular-speed train line are set to "high priority mode" by default, with a light intensity 30% higher than that of ordinary scenes. The enhanced mode is also triggered in advance under the same weather conditions (e.g., bridges are lit when the light intensity is <150Lux, while ordinary buildings are lit when the light intensity is <100Lux).

[0023] As a preferred technical solution, the environmental perception module integrates a light sensor, a temperature and humidity sensor, a rain sensor, a fog sensor, and a dust sensor; the sensors collect environmental parameters in real time and transmit them to the intelligent control module as the basis for adjusting the working status of the aviation obstruction lights.

[0024] As a preferred technical solution, the intelligent control module is based on a microprocessor and incorporates a multi-scenario adaptive adjustment algorithm. It can dynamically adjust the luminous intensity and flashing frequency of the aviation obstruction lights, as well as the charging and discharging strategy of the solar power module, according to environmental parameters. Simultaneously, it receives and executes remote monitoring commands via a wireless communication module. The intelligent control and collaborative working principle involves the microprocessor (such as an STM32F407 chip) collecting data from the environmental perception module every 50ms and calculating the optimal warning parameters using a fuzzy logic algorithm (with 128 preset rules). For example, when the illuminance is detected to be 80 Lux (near the lighting threshold) and the humidity is 90% RH (high humidity warning), the algorithm will determine it as a "dusk + high humidity" scene, turning on the obstruction lights 5 minutes in advance and increasing the illuminance by 10% to prevent the light transmittance of the lampshade from decreasing due to dew condensation. The built-in RTC real-time clock module supports automatic adjustment of the light control threshold according to the season (e.g., adjusting the threshold illuminance from 100 Lux to 150 Lux when dusk arrives earlier in winter), avoiding delays in lighting due to changes in day and night duration. The remote monitoring center sends parameter adjustment commands via 4G or 5G network (e.g., changing the flashing frequency of obstruction lights in a certain area from 60 times per minute to 90 times per minute). After receiving the command, the communication module verifies its validity using CRC check. The microprocessor completes the parameter update within 500ms and feeds back the execution result. When an obstruction light detects a fault (e.g., a damaged LED causing a sudden drop in light intensity), it will trigger a LoRa alarm. The module sends a "fault compensation signal" to adjacent devices within a 500-meter radius. These devices automatically increase their light intensity by 20%, creating a regional warning coverage until the faulty device is repaired. In scenarios along conventional train lines, this mechanism can ensure continuous warning capability along a railway line of up to 10 kilometers even in the event of a single-point fault.

[0025] As a preferred technical solution, the communication module adopts 4G or 5G and LoRa converged communication technology to achieve long-distance low-power data transmission; multiple aviation obstruction lights can form a collaborative working network through the communication module, and when a single device detects an anomaly, it can trigger surrounding devices to synchronously adjust warning parameters. The communication and fault tolerance principles are implemented using 4G or 5G modules (such as the Quectel RM500Q) for long-distance large-scale data transmission. A complete operation log (containing over 50 parameters including voltage, current, light intensity, and sensor data) is uploaded hourly for remote monitoring center trend analysis (e.g., predicting battery life based on historical data). LoRa modules (such as the SX1278 chip) construct a low-power local area network with a communication distance of up to 2 kilometers (in open environments) for real-time status synchronization between adjacent obstacle lights (e.g., synchronizing weather warnings and fault alarms). Communication power consumption is only 0.1mW, not affecting overall system energy consumption. Level 1 detection (second-level): Monitors the LED driver circuit current using a current sensor. If the instantaneous change exceeds ±30%, a short circuit / open circuit fault is identified, and power is immediately cut off and reported. Level 2 detection (minute-level): Compares environmental parameters of adjacent devices (e.g., light intensity difference > 50%). If a sensor fault is identified, parameters from adjacent devices are automatically switched as temporary input. Level 3 detection (hour-level): Analyzes the battery voltage curve. If the charging efficiency continuously exceeds 3... If the solar panel's performance drops below 50% of the average for an hour, it is determined to be due to dirt or angle misalignment, triggering a cleaning / angle adjustment reminder (dispatched via a remote monitoring center). Key modules (such as the intelligent charging controller and communication module) employ a dual-chip hot backup architecture. When the main chip fails, it switches to the backup chip within 0.5 seconds, ensuring uninterrupted system operation. Through the aforementioned multi-module collaborative working principle, the system achieves full-process intelligent operation from environmental perception and energy management to warning output, solving the adaptability problem of traditional systems in complex scenarios and providing efficient and reliable technical support for low-altitude flight safety.

[0026] A solar-powered warning method for conventional train lines and multi-scenario aviation obstruction lights includes the following steps: S1. Initialization: After the system is powered on, it reads the preset parameters, performs self-tests on each module, and sends alarm information through the communication module if a fault is detected. S2. Solar power management: Utilizes MPPT technology to optimize solar charging, monitors battery power in real time, and automatically reduces aviation obstruction light power consumption when the power level is below a threshold; S3. Environmental perception and adaptive adjustment: Continuously collect environmental parameters, automatically start and stop aviation obstruction lights according to light intensity, and dynamically adjust the light intensity and flashing frequency according to weather parameters such as rain, fog, and dust storms; S4. Communication and Remote Monitoring: Upload system status data to the remote monitoring center periodically, and receive remote commands to remotely adjust parameters.

[0027] As a preferred technical solution, in step S3, when the rain sensor detects that the rainfall exceeds the set threshold, the luminous intensity of the aviation obstruction light is increased to 1.5 times the initial value and the flashing frequency is increased to 1.2 times the initial value; when the fog sensor detects a dense fog level, the luminous intensity is increased to 2 times the initial value and the flashing frequency is increased to 1.5 times the initial value.

[0028] As a preferred technical solution, in step S4, the remote monitoring center can set differentiated parameters for aviation obstruction lights in different scenarios according to the height and importance level of the obstacle. For example, the warning parameters for bridges along ordinary train lines are higher than those for ordinary buildings.

[0029] As a preferred technical solution, the system has a multi-device collaborative working mechanism. When a certain aviation obstruction light detects a malfunction or extreme weather, it triggers adjacent devices to enhance the warning signal through the communication module, ensuring the continuity of the area warning effect. Example

[0030] A fall prevention warning system for mountain railway bridges is designed for areas with large spans and high wind speeds, requiring the system to withstand extreme weather conditions such as strong winds and heavy rain. The system configuration includes solar power supply, intelligent warning, and fall prevention monitoring. Solar power supply utilizes flexible monocrystalline silicon solar panels (22% conversion efficiency) combined with low-temperature resistant lithium iron phosphate batteries (operating at -40℃), ensuring normal operation even during 15 consecutive days of cloudy or rainy weather in winter. Intelligent warning features 360° rotating warning lights (TSY-236LED type) installed on both sides of the bridge railings, with a light intensity of 2000cd. Tilt sensors detect bridge vibration, automatically increasing the flashing frequency to 90 times / minute when the amplitude exceeds 5mm. Fall prevention monitoring uses a lidar system installed under the bridge (detection range 200 meters). When a falling object is detected, it triggers simultaneous red flashing of warning lights within a 2km radius and sends a warning signal to the train dispatching system via a 4G network. Application results: After application on a major bridge on the Chengdu-Kunming Railway, the bridge falling object warning response time was reduced to 0.3 seconds, and the winter failure rate decreased by 92%. Example

[0031] The desert railway sandstorm warning system is designed for desert regions characterized by large diurnal temperature variations (-20℃ to 50℃) and high dust concentrations (>1000μg / m³). System configuration includes solar panel protection, a sandstorm compensation algorithm, and optimized energy storage. Solar panel protection utilizes a nano-hydrophobic coating, reducing sand adhesion by 70%, and is complemented by an automatic cleaning brush (activated every 2 hours). The sandstorm compensation algorithm increases the LED light's operating current by 20% and triggers a 120dB high-decibel alarm when the sandstorm sensor detects a PM10 concentration >500μg / m³. Optimized energy storage features a battery pack with an intelligent temperature control system (automatically adjusting from -30℃ to 60℃) ensuring a discharge efficiency >85% under extreme temperatures. Application results: After installation on the Dunhuang section of the Lanzhou-Xinjiang Railway, the visibility distance of the warning lights during sandstorms increased to 3 kilometers, and battery life was extended to 8 years. Example

[0032] The coastal railway corrosion prevention warning system is designed for high humidity (annual average humidity > 85%) and salt spray corrosion (Cl⁻ concentration > 100mg / m³). The system features corrosion-resistant materials, moisture-proof design, and wave impact protection. For corrosion protection, it uses a 316L stainless steel bracket with a fluorocarbon coating (150μm thickness), and has withstood 1000 hours of salt spray testing without corrosion. For moisture protection, the control module has a built-in humidity sensor that automatically activates the heating and dehumidification function (maintaining a temperature of 40℃) when the humidity exceeds 90% RH. For wave impact protection, in tidal-affected areas, the warning lights have an IP68 waterproof rating, capable of withstanding immersion in 1 meter of water for 24 hours. In a section of the coastal railway, after implementation, the equipment failure rate decreased from an average of 12 times per year to 1 time, and maintenance costs were reduced by 75%. Example

[0033] The airport airspace protection zone communication tower warning system meets ICAO Annex 14 standards and is linked with the airport tower in real time. System configuration includes light intensity grading, synchronized flashing, and remote monitoring. Light intensity grading: The tower is 150 meters high, with a high-intensity Type A obstruction light (white flash, 100,000 cd) installed at the top and a medium-intensity Type B obstruction light (red flash, 2000 cd) installed in the middle. Synchronized flashing uses a GPS synchronization module to ensure that the flashing frequency error of all lights is <0.1 seconds. Remote monitoring transmits the working status to the airport tower via a 4G network, automatically switching to backup power (battery supports 72 hours of continuous operation) in case of failure. Application results: After installation on communication towers around Daxing Airport, the response time for linkage with the airport navigation system is <1 second, meeting the Civil Aviation Administration's acceptance standards.

[0034] Specifically, the system utilizes solar power, eliminating the need for mains power lines, thus reducing construction costs and achieving sustainable energy use. The MPPT function of the intelligent charging controller improves solar energy utilization efficiency, while the high performance of the lithium iron phosphate battery ensures stable power storage and supply, significantly reducing system energy consumption. The environmental sensing module monitors environmental parameters in real time, and the intelligent control module automatically adjusts the intensity and flashing frequency of the aviation obstruction lights according to different environmental conditions, providing optimal warning effects in various complex environments and effectively improving the safety of low-altitude flight. The communication module enables real-time data interaction between the system and a remote monitoring center, allowing staff to remotely monitor and manage the system, promptly understand its operational status, and quickly respond to and handle faults and anomalies, improving system reliability and maintenance efficiency. This system is applicable to various obstacles along conventional train lines, such as bridges, signal towers, and buildings, as well as communication towers, chimneys, and wind turbines in other scenarios, demonstrating broad versatility and flexibility to meet aviation obstruction warning needs in different scenarios. The selected LED light source has a long lifespan, and each module in the system has been carefully designed and selected, with good resistance to impact, lightning, sunlight, rain and snow. It can withstand the onslaught of severe weather such as typhoons and hail, ensuring that the system can work stably and reliably in various extreme environments, greatly reducing maintenance costs.

[0035] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A solar-powered warning system for obstruction lights along conventional train lines and in various aviation scenarios, characterized in that: The system includes a solar power supply module, an aviation obstruction light module, an environmental perception module, an intelligent control module, and a communication module. The solar power supply module provides power to the system, the aviation obstruction light module adjusts warning signals according to environmental parameters, the environmental perception module collects environmental data, the intelligent control module coordinates the operation of each module based on a preset algorithm, and the communication module enables data interaction between the system and a remote monitoring center.

2. The solar-powered warning system for conventional train line obstructions and multi-scenario aviation obstruction lights according to claim 1, characterized in that: The solar power supply module includes a high-efficiency monocrystalline silicon solar panel, an intelligent charging controller, and a lithium iron phosphate battery. The intelligent charging controller has an MPPT (maximum power point tracking) function, which can optimize the power output of the solar panel in real time and provide overcharge or over-discharge protection for the battery.

3. The solar-powered warning system for conventional train line obstructions and multi-scenario aviation obstruction lights according to claim 1, characterized in that: The aviation obstruction light module uses ultra-high brightness LED light sources and achieves 360-degree omnidirectional light emission through optical design; the luminous intensity and flashing frequency of the LED light source can be adjusted according to the importance of the scene, and the warning parameters are automatically enhanced in severe weather.

4. The solar-powered warning system for conventional train line obstructions and multi-scenario aviation obstruction lights according to claim 1, characterized in that: The environmental perception module integrates a light sensor, a temperature and humidity sensor, a rain sensor, a fog sensor, and a dust sensor; the sensors collect environmental parameters in real time and transmit them to the intelligent control module as the basis for adjusting the working status of the aviation obstruction lights.

5. A solar-powered warning system for conventional train line obstructions and multi-scenario aviation obstruction lights according to claim 1, characterized in that, The intelligent control module is based on a microprocessor and incorporates a multi-scenario adaptive adjustment algorithm. It can dynamically adjust the luminous intensity and flashing frequency of the aviation obstruction lights and the charging and discharging strategy of the solar power supply module according to environmental parameters. At the same time, it can receive and execute remote monitoring commands through a wireless communication module.

6. A solar-powered warning system for obstructions along conventional train lines and in various aviation scenarios, as described in claim 1, is characterized in that... The communication module adopts 4G or 5G and LoRa converged communication technology to achieve long-distance low-power data transmission; multiple aviation obstruction lights can form a collaborative working network through the communication module, and when a single device detects an anomaly, it can trigger surrounding devices to synchronously adjust warning parameters.

7. A method for solar-powered warning lights along conventional train lines and in various aviation obstruction scenarios, characterized in that, Includes the following steps: S1. Initialization: After the system is powered on, it reads the preset parameters, performs self-tests on each module, and sends alarm information through the communication module if a fault is detected. S2. Solar power management: Utilizes MPPT technology to optimize solar charging, monitors battery power in real time, and automatically reduces aviation obstruction light power consumption when the power level is below a threshold; S3. Environmental perception and adaptive adjustment: Continuously collect environmental parameters, automatically start and stop aviation obstruction lights according to light intensity, and dynamically adjust the light intensity and flashing frequency according to weather parameters such as rain, fog, and dust storms; S4. Communication and Remote Monitoring: Upload system status data to the remote monitoring center periodically and receive remote commands to remotely adjust parameters.

8. The solar-powered warning method for conventional train line obstruction lights and multi-scenario aviation obstruction lights according to claim 7, characterized in that, In step S3, when the rain sensor detects that the rainfall exceeds the set threshold, the luminous intensity of the aviation obstruction light is increased to 1.5 times the initial value and the flashing frequency is increased to 1.2 times the initial value; when the fog sensor detects dense fog, the luminous intensity is increased to 2 times the initial value and the flashing frequency is increased to 1.5 times the initial value.

9. A solar-powered warning method for conventional train line obstruction lights and multi-scenario aviation obstruction lights according to claim 7, characterized in that, In step S4, the remote monitoring center can set differentiated parameters for aviation obstruction lights in different scenarios based on the height and importance level of the obstacle. For example, the warning parameters for bridges along ordinary train lines are higher than those for ordinary buildings.

10. A solar-powered warning method for conventional train line obstruction lights and multi-scenario aviation obstruction lights according to claim 7, characterized in that, The system has a multi-device collaborative working mechanism. When an aviation obstruction light detects a malfunction or extreme weather, it triggers adjacent devices to enhance the warning signal through the communication module, ensuring the continuity of the area's warning effect.