Method and system for monitoring navigation lights based on power line carrier communication technology

Abstract

The present invention relates to the field of lighting monitoring technology, and in particular to a navigation lighting monitoring method and system based on power line carrier communication technology. The method comprises the following steps: installing a power line carrier communication module on each navigation lighting device, and performing data communication connection, while performing lighting status detection coding and signal modulation processing, to generate each navigation lighting status coding modulation signal; transmitting each navigation lighting status coding modulation signal to a central monitoring system and performing signal restoration demodulation processing and lighting fault monitoring analysis to obtain the navigation lighting device corresponding to the fault anomaly, and generating a navigation lighting device fault alarm signal in response; obtaining the navigation environment conditions corresponding to the navigation lighting device and performing intelligent control processing of the fault anomaly, generating a navigation lighting device fault intelligent control strategy, and executing the corresponding navigation lighting device to adjust the working state. The present invention can realize intelligent monitoring and management of navigation lighting equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of lighting monitoring, and in particular to a navigation lighting monitoring method and system based on power line carrier communication technology. Background Art

[0002] As an important facility to ensure flight safety, navigation lights are widely used in important areas such as airports, airways, and beacons. Since these navigation lighting facilities are usually distributed in a wide area and are mostly located in remote or inaccessible places, traditional monitoring and maintenance methods face many challenges. In addition, power line carrier communication (PLC) technology, as a technology that uses existing power lines for data transmission, has been widely used in smart grids, remote monitoring and other fields in recent years. PLC technology uses power lines themselves as a communication medium by superimposing high-frequency signals on power lines. It has the advantages of simple layout, low cost, and no need for additional infrastructure. In the field of navigation lighting monitoring, the application of PLC technology can realize real-time data transmission and monitoring of navigation lighting facilities through existing power lines, which not only avoids complex wiring and equipment installation processes, but also provides stable communication quality and strong anti-interference capabilities. However, there are still some challenges in the application of existing power line carrier communication technology in navigation lighting monitoring, mainly in how to achieve efficient signal modulation and demodulation in power line transmission and how to ensure the real-time and accuracy of light monitoring. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a method and system for monitoring navigation lights based on power line carrier communication technology to solve at least one of the above technical problems.

[0004] To achieve the above object, a method for monitoring navigation lights based on power line carrier communication technology comprises the following steps:

[0005] Step S1: installing a power line carrier communication module on each navigation light device, and using power lines to connect each power line carrier communication module with a central monitoring system for data communication, so as to generate a navigation light power line carrier communication network, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, a voltage sensor, and a PCL signal modulator; performing light state detection encoding and signal modulation processing on each navigation light device through the power line carrier communication module, so as to generate each navigation light state encoding modulation signal;

[0006] Step S2: using the navigation light power line carrier communication network to transmit the coded modulation signals of the state of each navigation light to the central monitoring system, and based on the central monitoring system, performing signal restoration and demodulation processing on the coded modulation signals of the state of each navigation light to generate light state demodulation data corresponding to each navigation light device, wherein the light state demodulation data includes device light brightness, device light current and device light voltage;

[0007] Step S3: using the central monitoring system to perform lighting fault monitoring and analysis on the lighting status demodulation data corresponding to each navigation lighting device, so as to obtain the navigation lighting device corresponding to the abnormal fault, and generate a navigation lighting device fault alarm signal in response;

[0008] Step S4: Based on the fault alarm signal of the navigation lighting equipment, the navigation environment conditions corresponding to the navigation lighting equipment are obtained through the central monitoring system, and based on the navigation environment conditions, the navigation lighting equipment corresponding to the fault abnormality is intelligently controlled and processed to generate an intelligent control strategy for the navigation lighting equipment fault, so as to execute the corresponding navigation lighting equipment to adjust the working state.

[0009] Further, step S1 includes the following steps:

[0010] Step S11: installing a power line carrier communication module on each navigation light device, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, a voltage sensor and a PCL signal modulator;

[0011] Step S12: using power lines to establish data communication connections between power line carrier communication modules corresponding to each navigation light device and the central monitoring system, so as to generate a navigation light power line carrier communication network;

[0012] Step S13: Performing timing synchronous sampling detection on each navigation light device through the corresponding light brightness sensor, current sensor and voltage sensor in the power line carrier communication module to obtain a device operation timing working status information set corresponding to each navigation light device, including the corresponding device light brightness change, device light current change and device light voltage change at each timing point;

[0013] Step S14: performing light status detection coding on the corresponding navigation light equipment based on the device operation sequence working status information set corresponding to each navigation light equipment, so as to generate status coding data of each navigation light equipment;

[0014] Step S15: performing signal modulation processing on the state coded data of each navigation light device based on the corresponding PCL signal modulator in the power line carrier communication module to generate each navigation light state coded modulation signal.

[0015] Further, step S14 includes the following steps:

[0016] Step S141: drawing a time series variation graph for the device operation time series working state information set corresponding to each navigation lighting device, so as to generate a device working state time series variation graph corresponding to each navigation lighting device;

[0017] Step S142: obtaining a preset equipment light status time window, and performing light status detection and analysis on the equipment working status time sequence change graph corresponding to each navigation light equipment based on the equipment light status time window, so as to generate the equipment light status time sequence change graph corresponding to each navigation light equipment in each status time window;

[0018] Step S143: performing signal change spectrum conversion on the equipment light state time series change spectrum corresponding to each navigation light equipment in each state time window, and generating the equipment light state signal change spectrum corresponding to each navigation light equipment;

[0019] Step S144: performing light status signal encoding on the equipment light status signal variation spectrum corresponding to each navigation light equipment to generate each navigation light equipment status encoding data.

[0020] Further, step S15 includes the following steps:

[0021] Step S151: converting the state encoding data of each navigation light device into a light state signal based on the corresponding PCL signal modulator in the power line carrier communication module to generate a light state signal of each navigation light device;

[0022] Step S152: performing signal frequency bandwidth analysis on the light status signals of each navigation light device to obtain the signal frequency bandwidth corresponding to each navigation light status signal;

[0023] Step S153: performing frequency mapping modulation processing on the corresponding navigation light equipment light status signal based on the signal frequency bandwidth corresponding to each navigation light status signal, to generate each navigation light status coded modulation signal.

[0024] Further, step S2 includes the following steps:

[0025] Step S21: using the navigation light power line carrier communication network to transmit the coded modulation signal of each navigation light status to the central monitoring system, so as to receive and obtain the coded transmission signal of each navigation light status;

[0026] Step S22: using the central monitoring system to perform reverse frequency modulation processing on the coded transmission signals of the status of each navigation light, to obtain reverse frequency modulation signals of the status of each navigation light;

[0027] Step S23: acquiring the corresponding modulation signal amplitude and modulation signal phase through each navigation light state reverse frequency modulation signal, and performing light state demodulation processing on the corresponding navigation light state reverse frequency modulation signal based on the modulation signal amplitude and modulation signal phase to generate each navigation light state demodulation signal;

[0028] Step S24: Based on each navigation light status demodulation signal, the corresponding navigation light device is subjected to signal component restoration, separation and reconstruction processing to generate light status demodulation data corresponding to each navigation light device, wherein the light status demodulation data includes device light brightness, device light current and device light voltage.

[0029] Further, step S3 includes the following steps:

[0030] Step S31: using the central monitoring system to perform time sequence dynamic synchronization processing on the light status demodulation data corresponding to each navigation light device, and generate the corresponding device light brightness, device light current and device light voltage under the same time sequence;

[0031] Step S32: determining the device light brightness, device light current and device light voltage at each time point by the corresponding device light brightness, device light current and device light voltage in the same time sequence, and performing device power quantitative calculation according to the device light current and device light voltage at each time point to obtain the navigation light device power at each time point;

[0032] Step S33: obtaining the light brightness change gradient at each time point according to the device light brightness at each time point, and calculating the brightness change response probability of the corresponding device light brightness based on the light brightness change gradient, to obtain the navigation light device brightness change response probability at each time point;

[0033] Step S34: Based on the navigation light equipment power and the navigation light equipment brightness change response probability at each time point, the corresponding navigation light equipment is calculated using the navigation light fault abnormality calculation formula to obtain the navigation light fault abnormality score value corresponding to each navigation light equipment;

[0034] Step S35: Perform fault monitoring, judgment and analysis on the navigation light fault abnormality score values ​​corresponding to each navigation light device according to the preset navigation light device fault abnormality threshold value; if the navigation light fault abnormality score value is greater than or equal to the preset navigation light device fault abnormality threshold value, the corresponding navigation light device is determined to have a fault abnormality, and a navigation light device fault alarm signal is generated in response; if the navigation light fault abnormality score value is less than the preset navigation light device fault abnormality threshold value, continue to judge the navigation light fault abnormality score value corresponding to the next navigation light device.

[0035] Furthermore, the calculation formula for the abnormality of the navigation light fault in step S34 is specifically:

[0036] ;

[0037] In the formula, Lighting equipment for navigation The corresponding abnormal score value of the navigation light failure, The time range of the integral area for anomaly calculation, is the time variable parameter, Lighting equipment for navigation In time The corresponding power of the navigation lighting equipment, Lighting equipment for navigation In time The corresponding brightness value is is the power-brightness adjustment influence weight coefficient, Lighting equipment for navigation In time The actual brightness response reference value corresponding to Lighting equipment for navigation In time The corresponding response probability of the brightness change of the navigation lighting equipment, is the distribution width of the equipment failure response time, is the weight coefficient affecting the brightness response of the device, It is the correction factor for the abnormal score value of the navigation lighting failure.

[0038] Further, step S4 includes the following steps:

[0039] Step S41: Based on the fault alarm signal of the navigation lighting equipment, the central monitoring system is used to locate the fault of the navigation lighting equipment corresponding to the fault in real time, so as to obtain the location information of the faulty navigation lighting equipment;

[0040] Step S42: Based on the navigation light faulty equipment location information, the current environmental conditions of the corresponding navigation light equipment with abnormal faults are monitored in real time to generate the navigation environment conditions corresponding to the navigation light equipment under the abnormal fault location, wherein the navigation environment conditions include meteorological weather changes, flight flow and electromagnetic interference;

[0041] Step S43: analyzing the equipment fault type of the navigation lighting equipment corresponding to the fault anomaly to generate the fault type of the navigation lighting equipment; performing a fault cause inference analysis on the navigation lighting equipment corresponding to the fault anomaly based on the fault type of the navigation lighting equipment to obtain the fault cause of the navigation lighting equipment;

[0042] Step S44: performing an environmental condition impact assessment analysis on the navigation environment conditions corresponding to the navigation lighting equipment under abnormal fault location based on the cause of the navigation lighting equipment failure, so as to generate a navigation environment condition impact factor corresponding to the navigation lighting equipment failure;

[0043] Step S45: Based on the navigation environment condition influencing factors corresponding to the navigation lighting faulty equipment, the recovery benefit score of the navigation lighting equipment corresponding to the fault anomaly is calculated using the equipment fault recovery benefit score calculation formula to obtain the fault recovery benefit score corresponding to the navigation lighting faulty equipment; based on the fault recovery benefit score corresponding to the navigation lighting faulty equipment and the cause of the navigation lighting equipment failure, the navigation lighting equipment corresponding to the fault anomaly is intelligently controlled to generate an intelligent control strategy for the navigation lighting equipment failure to execute the corresponding navigation lighting equipment to adjust the working state.

[0044] Furthermore, the equipment failure recovery benefit score calculation formula in step S45 is specifically:

[0045] ;

[0046] In the formula, Score the failure recovery benefit, is the total duration of the fault recovery process, To recover the integral time variable parameters, For at the moment The corresponding equipment importance coefficient is For at the moment The corresponding equipment failure recovery cost is is the relative adjustment coefficient for equipment failure recovery, For at the moment The corresponding navigation meteorological impact factor is For at the moment The corresponding navigation flow influencing factor is: For at the moment The corresponding electromagnetic interference factor of the navigation aid is, Correction factor for scoring the failure recovery benefit.

[0047] Furthermore, the present invention also provides a navigation light monitoring system based on power line carrier communication technology, which is used to execute the navigation light monitoring method based on power line carrier communication technology as described above. The navigation light monitoring system based on power line carrier communication technology includes:

[0048] A navigation light status signal modulation module is used to generate a navigation light power line carrier communication network by installing a power line carrier communication module on each navigation light device and using the power line to connect each power line carrier communication module with the central monitoring system for data communication, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, and a voltage sensor; the power line carrier communication module is used to perform light status detection encoding and signal modulation processing on each navigation light device, thereby generating each navigation light status encoding modulation signal;

[0049] The light status signal transmission and demodulation module is used to transmit the coded modulation signals of each navigation light status to the central monitoring system by using the navigation light power line carrier communication network, and perform signal restoration and demodulation processing on each navigation light status coded modulation signal based on the central monitoring system to generate light status demodulation data corresponding to each navigation light device, wherein the light status demodulation data includes the device light brightness, device light current and device light voltage;

[0050] The navigation lighting equipment fault monitoring module is used to use the central monitoring system to perform lighting fault monitoring and analysis on the lighting status demodulation data corresponding to each navigation lighting equipment, so as to obtain the navigation lighting equipment corresponding to the abnormal fault, and generate a navigation lighting equipment fault alarm signal in response;

[0051] The intelligent control module for navigation lighting equipment faults is used to obtain the navigation environment conditions corresponding to the navigation lighting equipment through the central monitoring system based on the navigation lighting equipment fault alarm signal, and based on the navigation environment conditions, perform intelligent control processing on the navigation lighting equipment corresponding to the fault anomaly, generate an intelligent control strategy for the navigation lighting equipment fault, so as to execute the corresponding navigation lighting equipment to adjust the working status.

[0052] Beneficial effects of the present invention:

[0053] 1. The navigation light monitoring method based on power line carrier communication technology proposed in the present invention has the beneficial effect of installing a power line carrier communication module on each navigation light device. The biggest advantage of this step is that traditional navigation light devices are usually unable to achieve real-time status monitoring and remote control. By installing a power line carrier communication module, the existing power lines can be used as a communication medium, avoiding the need to lay additional communication lines, greatly reducing the cost of construction and maintenance. The power line carrier communication module integrates a light brightness sensor, a current sensor and a voltage sensor, and can monitor various parameters of the lighting equipment in real time, so that each device can not only provide power, but also can realize real-time status monitoring and remote control. Transmission, and through the introduction of PCL signal modulator, the signal transmission is made more stable, signal interference or loss is avoided, and the real-time and accuracy of data transmission is ensured. By using power lines to connect the power line carrier communication modules corresponding to each navigation lighting equipment with the central monitoring system for data communication, a communication network based on power line carrier can be created. The core advantage of this design is the efficient use of existing power lines for information transmission, without the need for additional complex communication lines, which simplifies the complexity of infrastructure construction and enables the central monitoring system to obtain the operating status of each lighting equipment in real time, thereby improving the intelligence level and operating efficiency of the entire navigation lighting monitoring process. At the same time, by encoding the light status detection of each navigation lighting device through the power line carrier communication module, the working status of the equipment can be converted into a standardized data format, and by performing signal modulation processing, it is ensured that the equipment status coding data can be stably and efficiently transmitted in the power line carrier communication network. By modulating the status coding data through the PCL signal modulator, the original low-frequency data can be adapted to the transmission environment of the power line, improving the signal's anti-interference ability and transmission efficiency, thereby ensuring the stability and reliability of data transmission. The modulated signal can also effectively reduce the probability of signal loss and data errors, and greatly enhance the practicality and reliability of the power line carrier communication process.Secondly, the navigation light status coded modulation signal is transmitted to the central monitoring system by using the navigation light power line carrier communication network, and each navigation light status coded modulation signal is transmitted to the central monitoring system by using the navigation light power line carrier communication network, and each navigation light status coded modulation signal is restored and demodulated based on the central monitoring system to restore the specific lighting equipment performance data, including key parameters such as brightness, current and voltage. By restoring, separating and reconstructing the demodulated signal, the data that is crucial to the operation of the lighting equipment can be extracted from the complex signal. Specifically, the brightness, current and voltage of the light are the core indicators for evaluating whether the equipment is working normally. They can reflect the working status of the lighting equipment and whether there are any abnormal conditions. Through this detailed data analysis, the lighting equipment can be accurately monitored and faults or abnormalities can be discovered in time, so that efficient signal modulation and demodulation can be achieved in the transmission of the power line, so that the parameters of the lighting equipment can be automatically adjusted or maintenance instructions can be issued. Then, the central monitoring system monitors and analyzes the lighting faults of the lighting status demodulation data corresponding to each navigation lighting device. If the corresponding score value obtained by monitoring exceeds the threshold, an alarm is triggered, which can automatically monitor and respond to the faults of the lighting equipment efficiently and in real time. Through the preset threshold, it can judge whether the equipment is abnormal based on the score, avoiding the need for manual intervention and improving the timeliness and accuracy of the fault response. When the score value exceeds the threshold, an alarm signal can be issued immediately to notify relevant personnel to carry out maintenance or inspection to avoid the expansion of the fault or cause more serious consequences. On the other hand, if the score value is lower than the threshold, it will continue to monitor to ensure that only the equipment with a real fault will be triggered to alarm. This threshold judgment mechanism optimizes the accuracy of the fault alarm, reduces unnecessary alarms, and also improves the efficiency of troubleshooting, thereby ensuring the real-time and accuracy of navigation lighting monitoring. Finally, by obtaining the corresponding navigation environment conditions of the navigation lighting equipment through the central monitoring system based on the fault alarm signal of the navigation lighting equipment, and performing intelligent control and processing of the navigation lighting equipment corresponding to the fault abnormality based on the navigation environment conditions, it is possible to comprehensively consider multiple factors such as the fault type, environmental factors, and the time, cost and benefit of equipment recovery, and give a comprehensive scoring result. According to the scoring result, an intelligent control strategy will be generated to guide operators to take the most effective recovery measures, or adjust the working status of the equipment in some cases to ensure safe operation. For example, if the fault recovery benefit score is low, it will be recommended to extend the repair time or take temporary alternatives, such as starting backup equipment, until the equipment returns to normal working condition. Through the implementation of this intelligent control strategy, the impact on flight safety can be minimized, the operating efficiency of airport facilities can be improved, and it can be ensured that the navigation lighting system can provide continuous and stable protection in various complex environments.

[0054] 2. The navigation light monitoring system based on power line carrier communication technology proposed in the present invention is generally composed of a navigation light status signal modulation module, a light status signal transmission demodulation module, a navigation light equipment fault monitoring module and a navigation light equipment fault intelligent control module. It can realize any navigation light monitoring method based on power line carrier communication technology described in the present invention, and is used to combine the operations between computer programs running on various modules to realize the navigation light monitoring method based on power line carrier communication technology. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient navigation light monitoring process based on power line carrier communication technology, thereby simplifying the operation process of the navigation light monitoring system based on power line carrier communication technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0056] Figure 1 It is a schematic diagram of the steps of the navigation light monitoring method based on the power line carrier communication technology of the present invention;

[0057] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0058] Figure 3 for Figure 2 Detailed step flow chart of step S14 in FIG. DETAILED DESCRIPTION

[0059] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0060] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0061] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0062] To achieve this, please refer to Figures 1 to 3 The present invention provides a method for monitoring navigation lights based on power line carrier communication technology, the method comprising the following steps:

[0063] Step S1: installing a power line carrier communication module on each navigation light device, and using power lines to connect each power line carrier communication module with a central monitoring system for data communication, so as to generate a navigation light power line carrier communication network, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, a voltage sensor, and a PCL signal modulator; performing light state detection encoding and signal modulation processing on each navigation light device through the power line carrier communication module, so as to generate each navigation light state encoding modulation signal;

[0064] Step S2: using the navigation light power line carrier communication network to transmit the coded modulation signals of the state of each navigation light to the central monitoring system, and based on the central monitoring system, performing signal restoration and demodulation processing on the coded modulation signals of the state of each navigation light to generate light state demodulation data corresponding to each navigation light device, wherein the light state demodulation data includes device light brightness, device light current and device light voltage;

[0065] Step S3: using the central monitoring system to perform lighting fault monitoring and analysis on the lighting status demodulation data corresponding to each navigation lighting device, so as to obtain the navigation lighting device corresponding to the abnormal fault, and generate a navigation lighting device fault alarm signal in response;

[0066] Step S4: Based on the fault alarm signal of the navigation lighting equipment, the navigation environment conditions corresponding to the navigation lighting equipment are obtained through the central monitoring system, and based on the navigation environment conditions, the navigation lighting equipment corresponding to the fault abnormality is intelligently controlled and processed to generate an intelligent control strategy for the navigation lighting equipment fault, so as to execute the corresponding navigation lighting equipment to adjust the working state.

[0067] In the embodiment of the present invention, please refer to Figure 1FIG. 1 is a schematic diagram of the steps of the navigation light monitoring method based on the power line carrier communication technology of the present invention. In this example, the navigation light monitoring method based on the power line carrier communication technology includes the following steps:

[0068] Step S1: installing a power line carrier communication module on each navigation light device, and using power lines to connect each power line carrier communication module with a central monitoring system for data communication, so as to generate a navigation light power line carrier communication network, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, a voltage sensor, and a PCL signal modulator; performing light state detection encoding and signal modulation processing on each navigation light device through the power line carrier communication module, so as to generate each navigation light state encoding modulation signal;

[0069] In an embodiment of the present invention, a power line carrier communication module of a suitable type is selected for each navigation light device. The module integrates multiple sensors and modulators, specifically including a light brightness sensor, a current sensor, a voltage sensor and a PCL signal modulator, wherein the light brightness sensor is responsible for real-time monitoring of the brightness changes of the navigation light, the current sensor is used to collect the current data of the navigation light, the voltage sensor is used to detect the voltage fluctuation of the lighting device, and the PCL signal modulator is used to modulate the collected sensor data into a signal suitable for power line transmission, and the power line carrier communication module of each navigation light device is connected to the central monitoring system through the power line. This process realizes signal transmission through power line carrier technology, avoids the laying of traditional communication lines, and thus reduces construction and maintenance costs. The central monitoring system receives the data signals transmitted by each navigation light device in real time through the power line carrier signal receiving module, thereby forming a power line carrier communication network covering all navigation light devices, and also through the sensors in each power line carrier communication module (including light brightness, The current and voltage sensors) collect data from the corresponding navigation lighting equipment at regular intervals according to the set sampling period. The collected data include the changes in light brightness, light current and light voltage at each time point. The light brightness, current and voltage data collected from each navigation lighting equipment are processed to analyze the data, identify the working status of each device at different time points, generate device status coding data according to the status characteristics of the device, generate unique status coding data, and then modulate the previously encoded light status coding data using the corresponding PCL signal modulator in the power line carrier communication module. The PCL signal modulator converts these digital navigation lighting status coding data into analog signals suitable for power line transmission according to the power line carrier communication protocol. The modulated signal is transmitted to the central monitoring system through the power line carrier network for monitoring and analysis. In this way, the central monitoring system can realize equipment fault anomaly monitoring between each device through the modulated signal, and finally generate each navigation lighting status coding modulation signal.

[0070] Step S2: using the navigation light power line carrier communication network to transmit the coded modulation signals of the state of each navigation light to the central monitoring system, and based on the central monitoring system, performing signal restoration and demodulation processing on the coded modulation signals of the state of each navigation light to generate light state demodulation data corresponding to each navigation light device, wherein the light state demodulation data includes device light brightness, device light current and device light voltage;

[0071] In an embodiment of the present invention, the navigation light power line carrier communication network established by the previous connection is used to transmit the previously coded modulation signals of the status of each navigation light to the central monitoring system to ensure that the signal can be stably propagated in the power line, and the central monitoring system is used to perform reverse frequency modulation processing on the received coded transmission signals of the status of each navigation light. The specific operation is that the modulation signal received in the power line carrier communication network is first decoded to extract the modulation signal from the power line carrier through the reverse frequency modulation technology, and the modulation signal is restored to the original navigation light status coded signal to accurately restore the working status of each navigation light device. At the same time, the amplitude and phase information of the signal is further obtained by the reverse modulated modulation signal, and the light status is restored and demodulated. In the specific implementation, the amplitude and phase of the reverse frequency modulation signal are first analyzed, and the received modulation signal is subjected to frequency domain analysis by using a signal processing algorithm and a fast Fourier transform (FFT) to extract the amplitude and phase characteristics of the signal, and the working status of each navigation light can be accurately judged by analyzing the changes in the signal in each frequency channel. For example, the change of signal amplitude represents the change of light brightness, while the change of phase can reflect the switch state of the light. Based on these amplitude and phase information, a specific demodulation algorithm (such as a combination of phase demodulation and amplitude demodulation) is used to restore the actual state data of the navigation light. Then, the electrical signal components of each navigation light device are restored and reconstructed by combining the demodulated signals of each navigation light state, so as to analyze and extract the current, voltage and brightness data of each navigation light device by using the demodulated signal. The specific operation is to compare the demodulated signal with the known characteristics of the navigation light device (such as light power curve, voltage-current relationship, etc.) through the built-in signal processing module to determine the electrical parameters of the device. For the current signal, the actual current value of the lighting device is calculated through precise measurement and algorithm analysis. Similarly, the voltage signal is also obtained by processing the demodulated signal, and the measurement of the light brightness depends on the change of the amplitude in the demodulated signal. After the restoration, separation and reconstruction of the signal components, the light state demodulation data corresponding to each navigation light device is finally generated. The light state demodulation data includes the actual brightness of each device and the current and voltage parameters of the device when it is working.

[0072] Step S3: using the central monitoring system to perform lighting fault monitoring and analysis on the lighting status demodulation data corresponding to each navigation lighting device, so as to obtain the navigation lighting device corresponding to the abnormal fault, and generate a navigation lighting device fault alarm signal in response;

[0073] In the embodiment of the present invention, the demodulated data of the light status of each navigation light device is subjected to time-series dynamic synchronization processing by using a central monitoring system, so as to obtain the light status data of each navigation light device through power line carrier communication technology (PLC), and these data include the light brightness, current and voltage information of the device. By performing time-series calibration on the data of each device, the light brightness, current and voltage data of each device can be synchronized with the data of other devices, and the light brightness, current and voltage of the device at each time point are determined by the corresponding device light brightness, device light current and device light voltage in the same time sequence, and the power quantization calculation is further performed at each time point, so as to calculate the power according to the electric power calculation formula P=U×I Calculate the equipment power at each time point, where U is the voltage value and I is the current value. At the same time, calculate the gradient of the light brightness change according to the equipment light brightness at each time point, and calculate the brightness change rate at each moment through the light brightness data at consecutive time points, that is, by taking the difference between the brightness data at two adjacent moments and dividing it by the time difference. Further, based on the light brightness change gradient, calculate the response probability of brightness change through statistical analysis methods (such as maximum entropy method, probability density function estimation, etc.), and form a suitable fault anomaly calculation formula by combining the navigation lighting equipment power, brightness change response probability and related parameters to perform light fault anomaly calculation on the corresponding navigation lighting equipment, so as to quantitatively calculate the abnormal score value of each device. Then, by using the preset fault anomaly threshold, the fault anomaly score value obtained by the previous quantitative calculation is monitored and judged to set a fault anomaly threshold. The threshold is determined through historical data analysis, expert experience and equipment performance evaluation, and is used to distinguish between normal working conditions and fault conditions. If the fault anomaly score value of a certain device is greater than or equal to the threshold, it is determined that the device has a fault anomaly. At this time, the fault alarm mechanism will be automatically triggered, and a navigation lighting equipment fault alarm signal will be sent to notify relevant personnel to perform maintenance and processing; if the score value is less than the threshold, the next device will be judged. When making a judgment, the score value will be automatically updated through real-time monitoring data and periodic inspections will be performed to ensure timely response when a device fails.

[0074] Step S4: Based on the fault alarm signal of the navigation lighting equipment, the navigation environment conditions corresponding to the navigation lighting equipment are obtained through the central monitoring system, and based on the navigation environment conditions, the navigation lighting equipment corresponding to the fault abnormality is intelligently controlled and processed to generate an intelligent control strategy for the navigation lighting equipment fault, so as to execute the corresponding navigation lighting equipment to adjust the working state.

[0075] In the embodiment of the present invention, during the operation of the navigation lighting equipment, the central monitoring system monitors the working status of all the navigation lighting equipment in real time by receiving the navigation lighting equipment fault alarm signal generated in response. Whenever a device fails or is abnormal, the corresponding alarm signal will be transmitted to the central monitoring system through the power line carrier communication network. The system analyzes the received fault signal and, in combination with the installation location data of the equipment, locates the navigation lighting equipment corresponding to the fault in real time, thereby determining the precise location of the faulty equipment. After locating the specific location of the faulty equipment, it will start to monitor the current environmental conditions of the navigation lighting equipment with the fault based on the positioning information. Real-time monitoring is carried out. These environmental conditions include meteorological factors (such as wind speed, temperature, humidity, etc.), flight flow and electromagnetic interference, etc., so as to obtain corresponding data in real time through interfaces with meteorological stations, flight monitoring systems and electromagnetic interference monitoring equipment. For example, the meteorological monitoring system provides weather conditions in local areas through meteorological radar and satellite data; the flight flow monitoring system obtains flight activities in the current airspace by accessing the civil aviation flow database; the electromagnetic interference monitoring equipment captures electromagnetic wave interference signals that affect the normal operation of the navigation lighting equipment in real time. These environmental data are synchronously transmitted to the central monitoring system, so as to obtain the corresponding navigation environmental conditions of the navigation lighting equipment under the abnormal fault location.At the same time, after obtaining the equipment location and environmental condition data, the central monitoring system will automatically analyze the type of faulty equipment through the built-in fault analysis algorithm. The analysis is based on the equipment's operating data, alarm signal characteristics and historical fault records, and the fault type is determined by comparing the data under normal operating conditions with the monitoring data under the current abnormal state. If the navigation lighting equipment exhibits common faults such as electrical short circuit, light source failure or power supply abnormality, the cause of the fault will be further inferred based on the analysis results for the navigation lighting equipment corresponding to the fault abnormality, such as power supply fluctuations, equipment aging or extreme weather factors in the external environment. After determining the cause of the fault, the central monitoring system will conduct further impact assessment analysis on the corresponding navigation environmental conditions based on the cause of the fault, and analyze the impact of the fault cause on environmental conditions such as meteorological changes, flight flow and electromagnetic interference based on the impact assessment model of the fault type and environmental conditions. By inputting real-time meteorological data, flight flow data and electromagnetic interference information, the system automatically assesses the specific impact of the equipment failure cause on these factors. Then, a suitable scoring formula is formed by combining environmental condition influencing factors such as navigation meteorological influencing factors, navigation flow influencing factors, navigation electromagnetic interference influencing factors and related parameters to calculate the recovery benefit score of the navigation lighting equipment corresponding to the fault anomaly, so as to quantitatively calculate the recovery effect score of the corresponding faulty equipment, and automatically evaluate the priority of fault repair according to the equipment recovery benefit score, and generate the corresponding fault recovery strategy. For example, if the cause of the failure of a certain equipment is the power supply interruption caused by the fluctuation of the external power grid, and the environmental impact factor indicates that the power grid is hopeless to recover in the short term, it is recommended to adopt a temporary solution of replacing the light source or adjusting the equipment status to ensure navigation safety. On the basis of the fault recovery benefit score, an intelligent control strategy for navigation lighting equipment faults will also be automatically generated, such as adjusting the brightness of other navigation lighting equipment, changing the control parameters of the equipment, or optimizing the equipment status. After the intelligent control strategy is executed, the working status of the equipment will be automatically adjusted to ensure the safety of the navigation environment and the normal operation of the navigation lighting.

[0076] Further, step S1 includes the following steps:

[0077] Step S11: installing a power line carrier communication module on each navigation light device, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, a voltage sensor and a PCL signal modulator;

[0078] Step S12: using power lines to establish data communication connections between power line carrier communication modules corresponding to each navigation light device and the central monitoring system, so as to generate a navigation light power line carrier communication network;

[0079] Step S13: Performing timing synchronous sampling detection on each navigation light device through the corresponding light brightness sensor, current sensor and voltage sensor in the power line carrier communication module to obtain a device operation timing working status information set corresponding to each navigation light device, including the corresponding device light brightness change, device light current change and device light voltage change at each timing point;

[0080] Step S14: performing light status detection coding on the corresponding navigation light equipment based on the device operation sequence working status information set corresponding to each navigation light equipment, so as to generate status coding data of each navigation light equipment;

[0081] Step S15: performing signal modulation processing on the state coded data of each navigation light device based on the corresponding PCL signal modulator in the power line carrier communication module to generate each navigation light state coded modulation signal.

[0082] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0083] Step S11: installing a power line carrier communication module on each navigation light device, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, a voltage sensor and a PCL signal modulator;

[0084] In an embodiment of the present invention, a power line carrier communication module of a suitable type is selected for each navigation light device. The module integrates multiple sensors and modulators, including a light brightness sensor, a current sensor, a voltage sensor and a PCL signal modulator. The light brightness sensor is responsible for real-time monitoring of the brightness changes of the navigation light, the current sensor is used to collect the current data of the navigation light, the voltage sensor is used to detect the voltage fluctuation of the lighting device, and the PCL signal modulator is used to modulate the collected sensor data into a signal suitable for power line transmission. The installation of all devices and modules should comply with the relevant standards of power line carrier communication to ensure that the access of the equipment to the power line and the electrical safety meet the requirements.

[0085] Step S12: using power lines to establish data communication connections between power line carrier communication modules corresponding to each navigation light device and the central monitoring system, so as to generate a navigation light power line carrier communication network;

[0086] In an embodiment of the present invention, the power line carrier communication module of each navigation lighting device is connected to the central monitoring system through the power line. This process realizes signal transmission through the power line carrier technology, avoids the laying of traditional communication lines, and thus reduces construction and maintenance costs. The central monitoring system receives the data signal transmitted by each navigation lighting device in real time through the power line carrier signal receiving module, and through the power line carrier communication, the central monitoring system can timely feedback and process the status data of each lighting device, thereby forming a power line carrier communication network covering all navigation lighting devices. This communication network can realize remote monitoring and data interaction of equipment, ensure that the system can timely obtain the operating status of each navigation lighting device at any time, and finally connect to generate the navigation lighting power line carrier communication network.

[0087] Step S13: Performing timing synchronous sampling detection on each navigation light device through the corresponding light brightness sensor, current sensor and voltage sensor in the power line carrier communication module to obtain a device operation timing working status information set corresponding to each navigation light device, including the corresponding device light brightness change, device light current change and device light voltage change at each timing point;

[0088] In an embodiment of the present invention, the sensors (including light brightness, current, and voltage sensors) in each power line carrier communication module collect data from the corresponding navigation lighting equipment at a set sampling period. The collected data include changes in light brightness, light current, and light voltage at each timing point. These data are transmitted to the central monitoring system through the power line carrier module to update the working status of the equipment in real time. To ensure synchronization, the internal clock synchronization mechanism is used to ensure that the data collected by different devices at the same timing point are consistent and synchronized, and finally the equipment operation timing working status information set corresponding to each navigation lighting equipment is obtained.

[0089] Step S14: performing light status detection coding on the corresponding navigation light equipment based on the device operation sequence working status information set corresponding to each navigation light equipment, so as to generate status coding data of each navigation light equipment;

[0090] In an embodiment of the present invention, the light brightness, current, and voltage data collected by each navigation lighting device are processed to analyze the data, identify the working status of each device at different time points, and generate device status coding data according to the status characteristics of the device. For example, for devices whose brightness data is lower than the normal value or whose current current or voltage data deviates from the normal range, a corresponding working status code is generated. Each navigation lighting device will generate unique status coding data according to its corresponding status characteristics, and finally generate status coding data for each navigation lighting device.

[0091] Step S15: performing signal modulation processing on the state coded data of each navigation light device based on the corresponding PCL signal modulator in the power line carrier communication module to generate each navigation light state coded modulation signal.

[0092] In an embodiment of the present invention, the previously encoded light status coded data is modulated by using the corresponding PCL signal modulator in the power line carrier communication module. The PCL signal modulator converts these digital navigation light status coded data into analog signals suitable for power line transmission according to the power line carrier communication protocol. The modulated signal is transmitted to the central monitoring system through the power line carrier network for monitoring and analysis. In this way, the central monitoring system can realize equipment failure and abnormality monitoring between each device through the modulated signal, and complete real-time feedback of the equipment status. This signal modulation processing operation can ensure the stable transmission of the signal on the power line, avoid interference from changes in the power line environment or noise, and finally generate various navigation light status coded modulation signals.

[0093] Further, step S14 includes the following steps:

[0094] Step S141: drawing a time series variation graph for the device operation time series working state information set corresponding to each navigation lighting device, so as to generate a device working state time series variation graph corresponding to each navigation lighting device;

[0095] Step S142: obtaining a preset equipment light status time window, and performing light status detection and analysis on the equipment working status time sequence change graph corresponding to each navigation light equipment based on the equipment light status time window, so as to generate the equipment light status time sequence change graph corresponding to each navigation light equipment in each status time window;

[0096] Step S143: performing signal change spectrum conversion on the equipment light state time series change spectrum corresponding to each navigation light equipment in each state time window, and generating the equipment light state signal change spectrum corresponding to each navigation light equipment;

[0097] Step S144: performing light status signal encoding on the equipment light status signal variation spectrum corresponding to each navigation light equipment to generate each navigation light equipment status encoding data.

[0098] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 Detailed step flow diagram of step S14 in the embodiment, step S14 includes the following steps:

[0099] Step S141: drawing a time series variation graph for the device operation time series working state information set corresponding to each navigation lighting device, so as to generate a device working state time series variation graph corresponding to each navigation lighting device;

[0100] In an embodiment of the present invention, for each navigation lighting device, a set of information about the timing working status of the device in actual operation is obtained, and the information set includes the device switch status (such as on, off, fault, etc.), brightness, flashing mode and corresponding time marks (such as the start time of turning on the light, the off time, etc.). For the timing working status information of each device, a timing change map is established based on the real-time data of the device operation or the preset operation mode. When drawing the timing change map, a suitable time resolution is selected so that the changes in the working status of the device can be clearly observed. For example, if the working status of the device changes once per minute, the drawing is performed in minutes. The time axis in the map represents the passage of time, the vertical axis represents the different working states of the device, and the state change point is marked at the corresponding time position in the map, so as to obtain a map that can intuitively reflect the changes in the working status of the device over time, and finally generate a timing change map of the device working status corresponding to each navigation lighting device.

[0101] Step S142: obtaining a preset equipment light status time window, and performing light status detection and analysis on the equipment working status time sequence change graph corresponding to each navigation light equipment based on the equipment light status time window, so as to generate the equipment light status time sequence change graph corresponding to each navigation light equipment in each status time window;

[0102] In an embodiment of the present invention, a light status time window of each navigation lighting device is defined. This time window is usually a continuous time period, and the length can be set according to actual monitoring needs (such as 10 minutes, 30 minutes, etc. for each time window). The setting of the time window needs to ensure that there is enough space for observation and analysis of device status changes to avoid information loss or excessive redundancy due to being too short or too long. By collecting the working status time series change map of the device, the status information of each device is matched with its corresponding time window, and the light status detection and analysis is performed to generate a light status time series change map of each device in each time window. The map not only presents the normal working status of the device, but also indicates any abnormal points or warning information of the status change, and finally generates a device light status time series change map corresponding to each navigation lighting device in each status time window.

[0103] Step S143: performing signal change spectrum conversion on the equipment light state time series change spectrum corresponding to each navigation light equipment in each state time window, and generating the equipment light state signal change spectrum corresponding to each navigation light equipment;

[0104] In an embodiment of the present invention, a signal change spectrum conversion is performed on the light state time series change spectrum of each device in each state time window to convert the device state change data in the time series spectrum into a numerical signal form. Specifically, if the state of the device is "on", a fixed value such as 1 is assigned; if the state of the device is "off", a value such as 0 is assigned, and the time series data is spectrum converted by using Fourier transform or other spectrum analysis methods. Fourier transform is a common method for converting time domain signals into frequency domain signals, which can reveal the frequency components, periodic characteristics and amplitude characteristics of the signal, and will reveal the state change frequency and its change law of each device, which can effectively help identify abnormal frequency components in the signal, such as equipment failures or unstable operation, and generate a device light state signal change spectrum corresponding to each device, which includes the frequency characteristic information of the device state change, and finally converts and generates a device light state signal change spectrum corresponding to each navigation lighting device.

[0105] Step S144: performing light status signal encoding on the equipment light status signal variation spectrum corresponding to each navigation light equipment to generate each navigation light equipment status encoding data.

[0106] In the embodiment of the present invention, based on the spectrum of the equipment light status signal change obtained in the previous stage, the signal is encoded. This encoding process usually adopts Huffman coding or similar compression coding methods to reduce the amount of data while retaining important spectrum information. When encoding, a unique code is generated for the state change of each device according to the change characteristics of the signal spectrum. The spectrum characteristics are usually converted into a set of binary data. This encoded data not only has a unique identification of the equipment status change, but also the generated status encoding data will provide effective data support for equipment status monitoring, and finally generate the status encoding data of each navigation lighting equipment.

[0107] Further, step S15 includes the following steps:

[0108] Step S151: converting the state encoding data of each navigation light device into a light state signal based on the corresponding PCL signal modulator in the power line carrier communication module to generate a light state signal of each navigation light device;

[0109] In the embodiment of the present invention, the status information of each navigation lighting device is encoded and converted into a corresponding digital signal through the PCL signal modulator in the power line carrier communication module. The status information includes the switch status, brightness, flashing mode, etc. of the light. The signal modulator converts the status information into a power line carrier signal according to the encoding rules. During the modulation process, an appropriate modulation method (such as frequency modulation, phase modulation, etc.) is used to ensure that the signal can be effectively transmitted in the power line and maintain stability. Each navigation lighting device receives and sends a corresponding light status signal through this modulator. The signal conversion accurately corresponds to the current state of the light, and finally generates a light status signal of each navigation lighting device.

[0110] Step S152: performing signal frequency bandwidth analysis on the light status signals of each navigation light device to obtain the signal frequency bandwidth corresponding to each navigation light status signal;

[0111] In an embodiment of the present invention, by performing frequency bandwidth analysis on the light status signal of each navigation light device, real-time frequency bandwidth monitoring is performed on each light status signal output from the power line carrier communication module by using a spectrum analyzer or a similar analysis tool. The spectrum analyzer identifies the frequency distribution of each light status signal by collecting the frequency range of the signal, determines its main frequency components and bandwidth range, and finally obtains the signal frequency bandwidth corresponding to each navigation light status signal.

[0112] Step S153: performing frequency mapping modulation processing on the corresponding navigation light equipment light status signal based on the signal frequency bandwidth corresponding to each navigation light status signal, to generate each navigation light status coded modulation signal.

[0113] In an embodiment of the present invention, frequency mapping modulation processing is implemented based on the previously obtained signal frequency bandwidth, so that the light status signal of each navigation lighting device is appropriately frequency-adjusted according to its corresponding frequency bandwidth through a special modulation processing algorithm. The purpose of frequency mapping modulation is to allocate each light status signal to a different frequency region of the power line carrier signal to avoid interference or conflict between signals. In this process, the frequency mapping algorithm is used to adjust the spectrum of the signal to the target frequency band to ensure that the status signal of each navigation lighting device can be clearly and stably transmitted through the power line. This modulation process not only improves the reliability of signal transmission, but also ensures that the spectrum of each signal does not overlap with other signals, and finally modulates to generate each navigation lighting status coded modulation signal.

[0114] Further, step S2 includes the following steps:

[0115] Step S21: using the navigation light power line carrier communication network to transmit the coded modulation signal of each navigation light status to the central monitoring system, so as to receive and obtain the coded transmission signal of each navigation light status;

[0116] In an embodiment of the present invention, the navigation light power line carrier communication network obtained by the previous connection is used to transmit the previously coded and modulated status coded and modulated signals of each navigation light to the central monitoring system to ensure that the signal can be stably propagated in the power line. In order to avoid interference and ensure efficient transmission of the signal, multi-frequency carrier modulation technology is adopted, and different frequency channels are set to perform parallel transmission of multiple information, and finally the coded transmission signals of the status of each navigation light are received.

[0117] Step S22: using the central monitoring system to perform reverse frequency modulation processing on the coded transmission signals of the status of each navigation light, to obtain reverse frequency modulation signals of the status of each navigation light;

[0118] In an embodiment of the present invention, a reverse frequency modulation process is performed on each received navigation light status coded transmission signal by using a central monitoring system. Specifically, the modulated signal received in the power line carrier communication network is first decoded to extract the modulated signal from the power line carrier by using a reverse frequency modulation technique. The reverse frequency modulation process includes analyzing the spectrum of the power line carrier signal to identify the frequency used by each channel, and then reversely modulating the signal at each frequency to restore it to the original navigation light status coded signal, accurately restoring the working status of each navigation light device, and finally obtaining the reverse frequency modulation signal of each navigation light status.

[0119] Step S23: acquiring the corresponding modulation signal amplitude and modulation signal phase through each navigation light state reverse frequency modulation signal, and performing light state demodulation processing on the corresponding navigation light state reverse frequency modulation signal based on the modulation signal amplitude and modulation signal phase to generate each navigation light state demodulation signal;

[0120] In an embodiment of the present invention, the amplitude and phase information of the signal is further obtained by performing reverse frequency modulation on the state of each navigation light after reverse modulation, and performing light state demodulation processing. In specific implementation, the amplitude and phase of the reverse frequency modulation signal are first analyzed, and the received modulation signal is subjected to frequency domain analysis by using a signal processing algorithm and a fast Fourier transform (FFT) to extract the amplitude and phase characteristics of the signal. By analyzing the change of the signal in each frequency channel, the working state of each navigation light can be accurately determined. For example, the change of the signal amplitude represents the change of the light brightness, and the change of the phase can reflect the switch state of the light. Based on the amplitude and phase information, a specific demodulation algorithm (such as a combination of phase demodulation and amplitude demodulation) is used to restore the actual state data of the navigation light, accurately obtain the working state of each navigation light device, and finally generate each navigation light state demodulation signal.

[0121] Step S24: Based on each navigation light status demodulation signal, the corresponding navigation light device is subjected to signal component restoration, separation and reconstruction processing to generate light status demodulation data corresponding to each navigation light device, wherein the light status demodulation data includes device light brightness, device light current and device light voltage.

[0122] In the embodiment of the present invention, the electrical signal components of each navigation light device are restored and reconstructed by combining each navigation light state demodulation signal, so as to analyze and extract the current, voltage, brightness and other data of each navigation light device by using the demodulation signal. The specific operation is to compare the demodulation signal with the known characteristics of the navigation light device (such as the light power curve, the voltage-current relationship, etc.) through the built-in signal processing module to determine the electrical parameters of the device. For the current signal, the actual current value of the lighting device is calculated through precise measurement and algorithm analysis. Similarly, the voltage signal is also obtained by processing the demodulation signal, and the measurement of the light brightness depends on the change of the amplitude in the demodulation signal. After the restoration, separation and reconstruction of the signal components, the light state demodulation data corresponding to each navigation light device is generated. The light state demodulation data includes the actual brightness of each device, the current and voltage parameters of the device when it is working, and finally the light state demodulation data corresponding to each navigation light device is reconstructed and generated.

[0123] Further, step S3 includes the following steps:

[0124] Step S31: using the central monitoring system to perform time sequence dynamic synchronization processing on the light status demodulation data corresponding to each navigation light device, and generate the corresponding device light brightness, device light current and device light voltage under the same time sequence;

[0125] In an embodiment of the present invention, the demodulated light status data of each navigation light device is dynamically synchronized in time by using a central monitoring system, so as to obtain the light status data of each navigation light device through power line carrier communication technology (PLC). These data include the light brightness, current and voltage information of the device. By performing time calibration on the data of each device, the light brightness, current and voltage data of each device can be synchronized with the data of other devices to ensure that they are processed under the same time sequence. The central monitoring system adopts a timestamp calibration technology to mark each data point as a corresponding time point, and corrects the light brightness, current and voltage of each device through a time alignment algorithm (such as an interpolation algorithm based on a timestamp) so that they are in the same time series. This time series data set will generate a complete device light status data table, including the synchronized time series data of the light brightness, current and voltage of each device, and finally obtain the corresponding device light brightness, device light current and device light voltage under the same time sequence.

[0126] Step S32: determining the device light brightness, device light current and device light voltage at each time point by the corresponding device light brightness, device light current and device light voltage in the same time sequence, and performing device power quantitative calculation according to the device light current and device light voltage at each time point to obtain the navigation light device power at each time point;

[0127] In the embodiment of the present invention, the device light brightness, device light current and device light voltage at each time point are determined by the corresponding device light brightness, device light current and device light voltage in the same timing sequence, and the power quantification calculation at each time point is further performed to calculate the device power at each time point according to the electric power calculation formula P=U×I, where U is the voltage value and I is the current value, and finally the navigation light device power at each time point is obtained.

[0128] Step S33: obtaining the light brightness change gradient at each time point according to the device light brightness at each time point, and calculating the brightness change response probability of the corresponding device light brightness based on the light brightness change gradient, to obtain the navigation light device brightness change response probability at each time point;

[0129] In an embodiment of the present invention, the light brightness change gradient is calculated according to the device light brightness data at each time point, so as to calculate the brightness change rate at each moment through the light brightness data at continuous time points, that is, by taking the difference of the brightness data at two adjacent moments and dividing it by the time difference, the light brightness change gradient at each time point is obtained. These brightness change gradient values ​​reflect the brightness change rate of the navigation lighting equipment and can be used to predict the operation trend of the equipment. Further, based on the light brightness change gradient, the response probability of the brightness change is calculated by a statistical analysis method (such as the maximum entropy method, probability density function estimation, etc.). At this time, by defining a brightness change response probability model (such as a normal distribution model or a Poisson distribution model), the device brightness change response probability at each time point is calculated according to the brightness change gradient and the model parameters at each time point, and finally the navigation lighting equipment brightness change response probability at each time point is obtained.

[0130] Step S34: Based on the navigation light equipment power and the navigation light equipment brightness change response probability at each time point, the corresponding navigation light equipment is calculated using the navigation light fault abnormality calculation formula to obtain the navigation light fault abnormality score value corresponding to each navigation light equipment;

[0131] In an embodiment of the present invention, a suitable navigation lighting fault anomaly calculation formula is formed by combining time variable parameters, navigation lighting equipment power, brightness value, power-brightness adjustment influence weight coefficient, actual brightness response reference value, navigation lighting equipment brightness change response probability, equipment failure response time distribution width, equipment brightness response influence weight coefficient and related parameters to perform lighting fault anomaly calculation on the corresponding navigation lighting equipment, so as to quantitatively calculate the anomaly score value of each device, and finally obtain the navigation lighting fault anomaly score value corresponding to each navigation lighting equipment.

[0132] Step S35: Perform fault monitoring, judgment and analysis on the navigation light fault abnormality score values ​​corresponding to each navigation light device according to the preset navigation light device fault abnormality threshold value; if the navigation light fault abnormality score value is greater than or equal to the preset navigation light device fault abnormality threshold value, the corresponding navigation light device is determined to have a fault abnormality, and a navigation light device fault alarm signal is generated in response; if the navigation light fault abnormality score value is less than the preset navigation light device fault abnormality threshold value, continue to judge the navigation light fault abnormality score value corresponding to the next navigation light device.

[0133] In an embodiment of the present invention, a navigation lighting equipment fault abnormality threshold value that is preset is used to monitor and judge the fault of the navigation lighting equipment fault abnormality score value obtained by the previous quantitative calculation, so as to set a navigation lighting equipment fault abnormality threshold value. The threshold value is determined by historical data analysis, expert experience and equipment performance evaluation, and is used to distinguish between normal working state and fault state. If the fault abnormality score value of a certain device is greater than or equal to the threshold value, it is determined that the device has a fault abnormality. At this time, the fault alarm mechanism is automatically triggered, and a navigation lighting equipment fault alarm signal is sent to notify relevant personnel to perform maintenance and processing; if the score value is less than the threshold value, the next device is judged. When making a judgment, the score value is automatically updated through real-time monitoring data and periodic inspections are performed to ensure timely response when a device fails. Different fault states of the equipment can also be processed in stages, such as different levels such as slight abnormality, moderate abnormality and severe fault, and alarm signals of different priorities are automatically generated according to the level.

[0134] Furthermore, the calculation formula for the abnormality of the navigation light fault in step S34 is specifically:

[0135] ;

[0136] In the formula, Lighting equipment for navigation The corresponding abnormal score value of the navigation light failure, The time range of the integral area for anomaly calculation, is the time variable parameter, Lighting equipment for navigation In time The corresponding power of the navigation lighting equipment, Lighting equipment for navigation In time The corresponding brightness value is is the power-brightness adjustment influence weight coefficient, Lighting equipment for navigation In time The actual brightness response reference value corresponding to Lighting equipment for navigation In time The corresponding response probability of the brightness change of the navigation lighting equipment, is the distribution width of the equipment failure response time, is the weight coefficient affecting the brightness response of the device, It is the correction factor for the abnormal score value of the navigation lighting failure.

[0137] The present invention obtains a navigation lighting fault anomaly calculation formula by using a specific mathematical model and after verification, which is used to calculate the lighting fault anomaly of the corresponding navigation lighting equipment. The navigation lighting fault anomaly calculation formula integrates multiple key factors of the navigation lighting equipment, such as power, brightness, response probability, etc., and can evaluate the working status of each lighting equipment through multi-dimensional data, especially by quantifying the change trend of power and brightness over time, it can more accurately detect whether the equipment has potential faults or anomalies. The formula adopts a time series integration method, and dynamically processes data at different time points, so that the fault evaluation not only depends on the state of a certain moment, but reflects the overall performance of the lighting equipment over a period of time. This method can effectively eliminate short-term anomalies or errors and provide a more reliable basis for judgment. By introducing weighted coefficients of power and brightness, the formula can reflect the relative importance of equipment power and brightness changes to fault anomalies, which enables the calculation to adapt to the working environment or demand changes of different equipment, thereby improving the flexibility and adaptability of the system. By calculating the brightness change gradient and combining it with the brightness response probability, the formula can reflect the brightness change characteristics of lighting equipment under different conditions, which helps to identify those devices that have faults due to abnormal brightness changes. Even if the change is not significant in a short period of time, potential problems can be discovered in advance. (Device Fault Response Time Distribution Width) takes into account the delay of fault response and can simulate the reaction speed of different fault types, which can help accurately predict the actual impact range of equipment failures and avoid safety hazards caused by untimely responses. In addition, the correction coefficient in the formula provides flexible adjustment space, which can optimize the model according to actual conditions and adjust the sensitivity and accuracy of the anomaly score. This allows the entire monitoring process to more accurately identify and handle faults when facing different types of equipment or different working conditions. In summary, this formula fully takes into account the navigation lighting equipment Corresponding abnormal score value of navigation light failure , abnormal calculation integration area time range , time variable parameter , navigation lighting equipment In time The corresponding power of the navigation lighting equipment , navigation lighting equipment In time The corresponding brightness value , power-brightness adjustment influence weight coefficient , navigation lighting equipment In time The actual brightness response reference value corresponding to , navigation lighting equipment In time The corresponding probability of the response to the brightness change of the navigation lighting equipment , equipment failure response time distribution width , device brightness response influences weight coefficient , correction coefficient of abnormal score value of navigation lighting failure , according to the navigation lighting equipment Corresponding abnormal score value of navigation light failure The correlation between the above parameters constitutes a functional relationship This formula can realize the calculation process of the lighting fault anomaly of the corresponding navigation lighting equipment. At the same time, the correction coefficient of the navigation lighting fault anomaly score value is The introduction of can be adjusted according to the error conditions that occur during the calculation process, thereby improving the accuracy and applicability of the calculation formula for abnormal navigation lighting failures.

[0138] Further, step S4 includes the following steps:

[0139] Step S41: Based on the fault alarm signal of the navigation lighting equipment, the central monitoring system is used to locate the fault of the navigation lighting equipment corresponding to the fault in real time, so as to obtain the location information of the faulty navigation lighting equipment;

[0140] In an embodiment of the present invention, during the operation of the navigation lighting equipment, the central monitoring system monitors the working status of all the navigation lighting equipment in real time by receiving the navigation lighting equipment fault alarm signal generated in response. Whenever a device fails or is abnormal, the corresponding alarm signal will be transmitted to the central monitoring system through the power line carrier communication network. The system parses the received fault signal and locates the navigation lighting equipment corresponding to the fault in real time in combination with the installation location data of the equipment. Specifically, the central monitoring system uses a geographic information system (GIS) and an equipment positioning module to match the fault alarm signal with the geographical location of the equipment, thereby determining the precise location of the faulty equipment, ensuring that the location of the faulty equipment is accurately identified, and finally obtaining the positioning information of the navigation lighting faulty equipment.

[0141] Step S42: Based on the navigation light faulty equipment location information, the current environmental conditions of the corresponding navigation light equipment with abnormal faults are monitored in real time to generate the navigation environment conditions corresponding to the navigation light equipment under the abnormal fault location, wherein the navigation environment conditions include meteorological weather changes, flight flow and electromagnetic interference;

[0142] In an embodiment of the present invention, after locating the specific location of the faulty equipment, real-time monitoring of the current environmental conditions of the navigation lighting equipment with the fault abnormality is initiated based on the positioning information. These environmental conditions include meteorological factors (such as wind speed, temperature, humidity, etc.), flight flow and electromagnetic interference, etc., so as to obtain corresponding data in real time through interfaces with meteorological stations, flight monitoring systems and electromagnetic interference monitoring equipment. For example, the meteorological monitoring system provides weather conditions in local areas through meteorological radar and satellite data; the flight flow monitoring system obtains flight activities in the current airspace by accessing the civil aviation flow database; the electromagnetic interference monitoring equipment captures electromagnetic wave interference signals that affect the normal operation of the navigation lighting equipment in real time. These environmental data are synchronously transmitted to the central monitoring system, and further analyzed to obtain the specific environmental conditions of the navigation lighting equipment under the fault abnormality state, and finally obtain the navigation environmental conditions corresponding to the navigation lighting equipment under the fault abnormality positioning.

[0143] Step S43: analyzing the equipment fault type of the navigation lighting equipment corresponding to the fault anomaly to generate the fault type of the navigation lighting equipment; performing a fault cause inference analysis on the navigation lighting equipment corresponding to the fault anomaly based on the fault type of the navigation lighting equipment to obtain the fault cause of the navigation lighting equipment;

[0144] In the embodiment of the present invention, after obtaining the equipment location and environmental condition data, the central monitoring system will automatically analyze the type of faulty equipment through the built-in fault analysis algorithm. The analysis is based on the equipment's operating data, alarm signal characteristics and historical fault records, so as to judge the fault type by comparing the data under normal operating conditions with the monitoring data under the current abnormal state. If the navigation lighting equipment exhibits common faults such as electrical short circuit, light source failure or power supply abnormality, the fault type will be inferred based on the equipment fault mode library, such as voltage abnormality, control system failure, etc., thereby generating the fault type of the navigation lighting equipment. At the same time, based on the analysis results, the cause of the fault is further inferred for the navigation lighting equipment corresponding to the fault abnormality, such as power supply fluctuation, equipment aging or extreme weather factors in the external environment, and finally the cause of the navigation lighting equipment failure is obtained.

[0145] Step S44: performing an environmental condition impact assessment analysis on the navigation environment conditions corresponding to the navigation lighting equipment under abnormal fault location based on the cause of the navigation lighting equipment failure, so as to generate a navigation environment condition impact factor corresponding to the navigation lighting equipment failure;

[0146] In an embodiment of the present invention, after determining the fault type, the central monitoring system will conduct further impact assessment analysis on the corresponding navigation environmental conditions in combination with the fault cause, so as to analyze the impact of the fault cause on environmental conditions such as meteorological changes, flight flow and electromagnetic interference based on the impact assessment model of the fault type and environmental conditions. For example, it will be found that severe weather conditions (such as thunderstorms) cause the electrical system of the lighting equipment to short-circuit, or high-density flight flow causes electromagnetic interference, thereby affecting the signal transmission of the equipment. By inputting real-time meteorological data, flight flow data and electromagnetic interference information, the specific impact of the equipment failure cause on these factors is automatically evaluated, and environmental condition impact factors are generated. These factors are used to quantify the impact of environmental conditions on the fault cause, and finally generate the navigation environmental condition impact factors corresponding to the navigation lighting failure equipment.

[0147] Step S45: Based on the navigation environment condition influencing factors corresponding to the navigation lighting faulty equipment, the recovery benefit score of the navigation lighting equipment corresponding to the fault anomaly is calculated using the equipment fault recovery benefit score calculation formula to obtain the fault recovery benefit score corresponding to the navigation lighting faulty equipment; based on the fault recovery benefit score corresponding to the navigation lighting faulty equipment and the cause of the navigation lighting equipment failure, the navigation lighting equipment corresponding to the fault anomaly is intelligently controlled to generate an intelligent control strategy for the navigation lighting equipment failure to execute the corresponding navigation lighting equipment to adjust the working state.

[0148] In the embodiment of the present invention, a suitable equipment fault recovery benefit score calculation formula is formed by combining the total duration of the fault recovery process, the recovery integral time variable parameter, the equipment importance coefficient, the equipment fault recovery cost, the equipment fault recovery relative adjustment coefficient, the navigation meteorological impact factor, the navigation flow impact factor, the navigation electromagnetic interference impact factor and related parameters to calculate the recovery benefit score of the navigation lighting equipment corresponding to the fault anomaly, so as to quantitatively calculate the recovery effect score of the corresponding faulty equipment, thereby obtaining the fault recovery benefit score corresponding to the navigation lighting faulty equipment. At the same time, according to the equipment recovery benefit score, the priority of fault repair is automatically evaluated, and the corresponding fault recovery strategy is generated. For example, if the cause of the failure of a certain equipment is the power supply interruption caused by the fluctuation of the external power grid, and the environmental impact factor indicates that the power grid is hopeless to recover in the short term, it is recommended to adopt a temporary solution of replacing the light source or adjusting the equipment status to ensure navigation safety. On the basis of the fault recovery benefit score, an intelligent control strategy for the fault of the navigation lighting equipment is automatically generated, such as adjusting the brightness of other navigation lighting equipment, changing the control parameters of the equipment, or optimizing the equipment status. After the intelligent control strategy is executed, the working state of the equipment will be automatically adjusted to ensure the safety of the navigation environment and the normal operation of the navigation lighting.

[0149] Furthermore, the equipment failure recovery benefit score calculation formula in step S45 is specifically:

[0150] ;

[0151] In the formula, Score the failure recovery benefit, is the total duration of the fault recovery process, To recover the integral time variable parameters, For at the moment The corresponding equipment importance coefficient is For at the moment The corresponding equipment failure recovery cost is is the relative adjustment coefficient for equipment failure recovery, For at the moment The corresponding navigation meteorological impact factor is For at the moment The corresponding navigation flow influencing factor is: For at the moment The corresponding electromagnetic interference factor of the navigation aid is, Correction factor for scoring the failure recovery benefit.

[0152] The present invention obtains a device fault recovery benefit score calculation formula by using a specific mathematical model and after verification, which is used to calculate the recovery benefit score of the navigation lighting equipment corresponding to the fault anomaly. The device fault recovery benefit score calculation formula comprehensively considers multiple influencing factors, such as the importance of the equipment, the fault recovery cost, meteorological conditions, flight flow and electromagnetic interference, etc., and can comprehensively and accurately evaluate the benefits of fault recovery. Through the weighted influence of these factors, it can help decision makers better understand the economic benefits and safety benefits of recovery under different conditions. The various parameters in the formula (such as meteorological impact factors, flight flow impact factors, and electromagnetic interference impact factors) are dynamically changing, so they can adapt to environmental changes and different equipment conditions in real time. Through this dynamic adjustment, timely responses can be made to cope with different fault scenarios, thereby effectively reducing the risks and uncertainties in the recovery process. The equipment importance coefficient and fault recovery cost in the formula ensure that different equipment is appropriately weighted in the score according to its importance and recovery difficulty, which enables high-priority equipment (such as critical aviation lighting equipment) to be restored first, while for secondary equipment, recovery resources can be optimally allocated, thereby improving the overall recovery efficiency. By calculating the fault recovery benefit score, the formula provides a quantitative basis for the intelligent control strategy, which means that the system can adjust the fault handling strategy according to the actual scoring results. For example, when the fault recovery benefit score is high, the recovery process can be accelerated; when the score is low, it may be necessary to consider other recovery methods or optimize the recovery process to reduce unnecessary losses. In addition, the correction factor in the formula provides flexibility for the final score, which can be adjusted according to historical data, equipment status or other specific circumstances. Through this correction mechanism, the recovery benefits under different environmental conditions can be more accurately reflected, thereby ensuring the accuracy and reliability of the scoring results. Through mathematical modeling of the recovery process and quantitative analysis of various factors, the formula can provide an accurate benefit assessment, enabling decision makers to quickly identify the most appropriate recovery path and strategy, and reduce resource waste or equipment recovery delays due to misjudgment. In summary, the formula fully considers the fault recovery benefit score. , the total duration of the fault recovery process , restore the integral time variable parameters , at the time The corresponding equipment importance coefficient , at the time The corresponding equipment failure recovery cost , relative adjustment coefficient of equipment failure recovery , at the time The corresponding navigation meteorological factors , at the time The corresponding navigation flow influencing factor , at the time The corresponding electromagnetic interference factor of the navigation aid , the correction factor of the failure recovery benefit score , according to the failure recovery benefit score The correlation between the above parameters constitutes a functional relationship This formula can realize the calculation process of the recovery benefit score of the navigation lighting equipment corresponding to the fault anomaly. At the same time, the correction coefficient of the fault recovery benefit score is used The introduction of can be adjusted according to the errors that occur in the calculation process, thereby improving the accuracy and applicability of the equipment fault recovery benefit score calculation formula.

[0153] Furthermore, the present invention also provides a navigation light monitoring system based on power line carrier communication technology, which is used to execute the navigation light monitoring method based on power line carrier communication technology as described above. The navigation light monitoring system based on power line carrier communication technology includes:

[0154] A navigation light status signal modulation module is used to generate a navigation light power line carrier communication network by installing a power line carrier communication module on each navigation light device and using the power line to connect each power line carrier communication module with the central monitoring system for data communication, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, and a voltage sensor; the power line carrier communication module is used to perform light status detection encoding and signal modulation processing on each navigation light device, thereby generating each navigation light status encoding modulation signal;

[0155] The light status signal transmission and demodulation module is used to transmit the coded modulation signals of each navigation light status to the central monitoring system by using the navigation light power line carrier communication network, and perform signal restoration and demodulation processing on each navigation light status coded modulation signal based on the central monitoring system to generate light status demodulation data corresponding to each navigation light device, wherein the light status demodulation data includes the device light brightness, device light current and device light voltage;

[0156] The navigation lighting equipment fault monitoring module is used to use the central monitoring system to perform lighting fault monitoring and analysis on the lighting status demodulation data corresponding to each navigation lighting equipment, so as to obtain the navigation lighting equipment corresponding to the abnormal fault, and generate a navigation lighting equipment fault alarm signal in response;

[0157] The intelligent control module for navigation lighting equipment faults is used to obtain the navigation environment conditions corresponding to the navigation lighting equipment through the central monitoring system based on the navigation lighting equipment fault alarm signal, and based on the navigation environment conditions, perform intelligent control processing on the navigation lighting equipment corresponding to the fault anomaly, generate an intelligent control strategy for the navigation lighting equipment fault, so as to execute the corresponding navigation lighting equipment to adjust the working status.

[0158] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0159] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for monitoring navigation lights based on power line carrier communication technology, characterized in that: The following steps are involved: Step S1: installing a power line carrier communication module on each navigation light device, and using power lines to connect each power line carrier communication module with a central monitoring system for data communication, so as to generate a navigation light power line carrier communication network, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, a voltage sensor and a PLC signal modulator; The power line carrier communication module performs light status detection encoding and signal modulation processing on each navigation light device to generate a coded modulation signal of each navigation light status; wherein step S1 includes the following steps: Step S11: installing a power line carrier communication module on each navigation light device, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, a voltage sensor and a PLC signal modulator; Step S12: using power lines to establish data communication connections between power line carrier communication modules corresponding to each navigation light device and the central monitoring system, so as to generate a navigation light power line carrier communication network; Step S13: Performing timing synchronous sampling detection on each navigation light device through the corresponding light brightness sensor, current sensor and voltage sensor in the power line carrier communication module to obtain a device operation timing working status information set corresponding to each navigation light device, including the corresponding device light brightness change, device light current change and device light voltage change at each timing point; Step S14: performing light state detection coding on the corresponding navigation light equipment based on the device operation sequence working state information set corresponding to each navigation light equipment, so as to generate state coding data of each navigation light equipment; wherein step S14 includes the following steps: Step S141: drawing a time series variation graph for the device operation time series working state information set corresponding to each navigation lighting device, so as to generate a device working state time series variation graph corresponding to each navigation lighting device; Step S142: obtaining a preset equipment light status time window, and performing light status detection and analysis on the equipment working status time sequence change graph corresponding to each navigation light equipment based on the equipment light status time window, so as to generate the equipment light status time sequence change graph corresponding to each navigation light equipment in each status time window; Step S143: performing signal change spectrum conversion on the equipment light state time series change spectrum corresponding to each navigation light equipment in each state time window, and generating the equipment light state signal change spectrum corresponding to each navigation light equipment; Step S144: performing light status signal encoding on the equipment light status signal variation spectrum corresponding to each navigation light equipment to generate the state encoding data of each navigation light equipment; Step S15: performing signal modulation processing on the state coded data of each navigation light device based on the corresponding PLC signal modulator in the power line carrier communication module to generate a coded modulation signal of each navigation light state; wherein step S15 includes the following steps: Step S151: converting the state encoding data of each navigation light device into a light state signal based on the corresponding PLC signal modulator in the power line carrier communication module to generate a light state signal of each navigation light device; Step S152: performing signal frequency bandwidth analysis on the light status signals of each navigation light device to obtain the signal frequency bandwidth corresponding to each navigation light status signal; Step S153: performing frequency mapping modulation processing on the corresponding navigation light equipment light status signal based on the signal frequency bandwidth corresponding to each navigation light status signal, to generate each navigation light status coded modulation signal; Step S2: using the navigation light power line carrier communication network to transmit the coded modulation signals of the state of each navigation light to the central monitoring system, and based on the central monitoring system, performing signal restoration and demodulation processing on the coded modulation signals of the state of each navigation light to generate light state demodulation data corresponding to each navigation light device, wherein the light state demodulation data includes device light brightness, device light current and device light voltage; Step S3: using the central monitoring system to perform lighting fault monitoring and analysis on the lighting status demodulation data corresponding to each navigation lighting device, so as to obtain the navigation lighting device corresponding to the abnormal fault, and generate a navigation lighting device fault alarm signal in response; wherein, step S3 includes the following steps: Step S31: using the central monitoring system to perform time sequence dynamic synchronization processing on the light status demodulation data corresponding to each navigation light device, and generate the corresponding device light brightness, device light current and device light voltage under the same time sequence; Step S32: determining the device light brightness, device light current and device light voltage at each time point by the corresponding device light brightness, device light current and device light voltage in the same time sequence, and performing device power quantitative calculation according to the device light current and device light voltage at each time point to obtain the navigation light device power at each time point; Step S33: obtaining the light brightness change gradient at each time point according to the device light brightness at each time point, and calculating the brightness change response probability of the corresponding device light brightness based on the light brightness change gradient, to obtain the navigation light device brightness change response probability at each time point; Step S34: Based on the power of the navigation lighting equipment and the response probability of the brightness change of the navigation lighting equipment at each time point, the navigation lighting fault abnormality calculation formula is used to calculate the lighting fault abnormality of the corresponding navigation lighting equipment to obtain the navigation lighting fault abnormality score value corresponding to each navigation lighting equipment; wherein, the navigation lighting fault abnormality calculation formula is specifically: ； In the formula, Lighting equipment for navigation The corresponding abnormal score value of the navigation light failure, The time range of the integral area for anomaly calculation, is the time variable parameter, Lighting equipment for navigation In time The corresponding power of the navigation lighting equipment, Lighting equipment for navigation In time The corresponding brightness value is is the power-brightness adjustment influence weight coefficient, Lighting equipment for navigation In time The actual brightness response reference value corresponding to Lighting equipment for navigation In time The corresponding response probability of the brightness change of the navigation lighting equipment, is the distribution width of the equipment failure response time, is the weight coefficient affecting the brightness response of the device, It is the correction factor of the abnormal score value of the navigation lighting failure; Step S35: performing fault monitoring and judgment analysis on the navigation light fault abnormality score values ​​corresponding to each navigation light device according to the preset navigation light device fault abnormality threshold value; if the navigation light fault abnormality score value is greater than or equal to the preset navigation light device fault abnormality threshold value, the corresponding navigation light device is determined to have a fault abnormality, and a navigation light device fault alarm signal is generated in response; if the navigation light fault abnormality score value is less than the preset navigation light device fault abnormality threshold value, then continue to judge the navigation light fault abnormality score value corresponding to the next navigation light device; Step S4: based on the fault alarm signal of the navigation lighting equipment, the navigation environment conditions corresponding to the navigation lighting equipment are obtained through the central monitoring system, and based on the navigation environment conditions, the navigation lighting equipment corresponding to the fault abnormality is intelligently controlled and processed, and the navigation lighting equipment fault intelligent control strategy is generated to execute the corresponding navigation lighting equipment to adjust the working state; wherein, step S4 includes the following steps: Step S41: Based on the fault alarm signal of the navigation lighting equipment, the central monitoring system is used to locate the fault of the navigation lighting equipment corresponding to the fault in real time, so as to obtain the location information of the faulty navigation lighting equipment; Step S42: Based on the navigation light faulty equipment location information, the current environmental conditions of the corresponding navigation light equipment with abnormal faults are monitored in real time to generate the navigation environment conditions corresponding to the navigation light equipment under the abnormal fault location, wherein the navigation environment conditions include meteorological weather changes, flight flow and electromagnetic interference; Step S43: analyzing the equipment fault type of the navigation lighting equipment corresponding to the fault anomaly to generate the fault type of the navigation lighting equipment; performing a fault cause inference analysis on the navigation lighting equipment corresponding to the fault anomaly based on the fault type of the navigation lighting equipment to obtain the fault cause of the navigation lighting equipment; Step S44: performing an environmental condition impact assessment analysis on the navigation environment conditions corresponding to the navigation lighting equipment under abnormal fault location based on the cause of the navigation lighting equipment failure, so as to generate a navigation environment condition impact factor corresponding to the navigation lighting equipment failure; Step S45: Based on the navigation environment condition influencing factors corresponding to the navigation lighting faulty equipment, the recovery benefit score of the navigation lighting equipment corresponding to the fault abnormality is calculated using the equipment fault recovery benefit score calculation formula to obtain the fault recovery benefit score corresponding to the navigation lighting faulty equipment; based on the fault recovery benefit score corresponding to the navigation lighting faulty equipment and the fault cause of the navigation lighting equipment, the navigation lighting equipment corresponding to the fault abnormality is intelligently controlled to generate the navigation lighting equipment fault intelligent control strategy to execute the corresponding navigation lighting equipment to adjust the working state; wherein, the equipment fault recovery benefit score calculation formula is specifically: ； In the formula, Score the failure recovery benefit, is the total duration of the fault recovery process, To recover the integral time variable parameters, For at the moment The corresponding equipment importance coefficient is For at the moment The corresponding equipment failure recovery cost is is the relative adjustment coefficient for equipment failure recovery, For at the moment The corresponding navigation meteorological impact factor is For at the moment The corresponding influencing factor of the navigation flight flow is For at the moment The corresponding electromagnetic interference factor of the navigation aid is, Correction factor for scoring the failure recovery benefit.

2. The method for monitoring navigation lights based on power line carrier communication technology according to claim 1 is characterized in that: Step S2 includes the following steps: Step S21: using the navigation light power line carrier communication network to transmit the coded modulation signal of each navigation light status to the central monitoring system, so as to receive and obtain the coded transmission signal of each navigation light status; Step S22: using the central monitoring system to perform reverse frequency modulation processing on the coded transmission signals of the status of each navigation light, to obtain reverse frequency modulation signals of the status of each navigation light; Step S23: acquiring the corresponding modulation signal amplitude and modulation signal phase through each navigation light state reverse frequency modulation signal, and performing light state demodulation processing on the corresponding navigation light state reverse frequency modulation signal based on the modulation signal amplitude and modulation signal phase to generate each navigation light state demodulation signal; Step S24: Based on each navigation light status demodulation signal, the corresponding navigation light device is subjected to signal component restoration, separation and reconstruction processing to generate light status demodulation data corresponding to each navigation light device, wherein the light status demodulation data includes device light brightness, device light current and device light voltage.

3. A navigation light monitoring system based on power line carrier communication technology, characterized in that: Used to execute the navigation light monitoring method based on power line carrier communication technology as claimed in claim 1, the navigation light monitoring system based on power line carrier communication technology comprises: A navigation light status signal modulation module is used to generate a navigation light power line carrier communication network by installing a power line carrier communication module on each navigation light device and using the power line to connect each power line carrier communication module with the central monitoring system for data communication, wherein the power line carrier communication module includes a light brightness sensor, a current sensor, and a voltage sensor; the power line carrier communication module is used to perform light status detection encoding and signal modulation processing on each navigation light device, thereby generating each navigation light status encoding modulation signal; The light status signal transmission and demodulation module is used to transmit the coded modulation signals of each navigation light status to the central monitoring system by using the navigation light power line carrier communication network, and perform signal restoration and demodulation processing on each navigation light status coded modulation signal based on the central monitoring system to generate light status demodulation data corresponding to each navigation light device, wherein the light status demodulation data includes the device light brightness, device light current and device light voltage; The navigation lighting equipment fault monitoring module is used to use the central monitoring system to perform lighting fault monitoring and analysis on the lighting status demodulation data corresponding to each navigation lighting equipment, so as to obtain the navigation lighting equipment corresponding to the abnormal fault, and generate a navigation lighting equipment fault alarm signal in response; The intelligent control module for navigation lighting equipment faults is used to obtain the navigation environment conditions corresponding to the navigation lighting equipment through the central monitoring system based on the navigation lighting equipment fault alarm signal, and based on the navigation environment conditions, perform intelligent control processing on the navigation lighting equipment corresponding to the fault anomaly, generate an intelligent control strategy for the navigation lighting equipment fault, so as to execute the corresponding navigation lighting equipment to adjust the working status.

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