Aviation warning lamp intelligent control system based on Internet of Things

Abstract

The invention relates to the technical field of fault detection, in particular to an aviation warning lamp intelligent control system based on the Internet of Things, comprehensive monitoring, intelligent management and flexible control of an aviation warning lamp are achieved by integrating acquisition, transmission, processing, analysis, receiving and control modules, the acquisition module acquires radiation intensity and aerosol concentration data, and the transmission module transmits the radiation intensity and aerosol concentration data to the control module. The transmission module compresses returned data; the data processing module performs calculation; the analysis module judges a working state and corrects parameters to optimize performance; the receiving module receives a user instruction; according to the invention, the problems of high manual dependence, lack of self-repairing capability and failure of the fault lamp in the period of waiting for the movement of the warning lamp in the existing aviation warning lamp are effectively solved, the reliability and the safety of the aviation warning lamp in use are remarkably improved, and an efficient, intelligent and reliable solution is provided for management of the aviation warning lamp.

Description

Technical Field

[0001] The present invention relates to the technical field of fault detection, and in particular to an intelligent control system for aviation warning lights based on the Internet of Things. Background Art

[0002] During the use of aviation warning lights, if a malfunction occurs, personnel usually need to go to the site for inspection and repair. On the one hand, although existing aviation warning lights can detect some simple faults, personnel still need to make on-site judgments and repairs. This inability to automatically repair all faults undoubtedly reduces work efficiency. On the other hand, according to Article 49 of the "Regulations on the Safety Management of Transport Airport Operations" (CCAR-140), once an aviation obstruction light malfunctions, the airport management agency must quickly activate backup lighting measures. However, currently only a few important locations are equipped with fixed backup lighting facilities, and in most cases, mobile aviation warning lights still need to be temporarily installed. Before the mobile aviation warning lights are installed, the original warning lights are no longer functional, which not only poses a safety hazard but also affects the normal operation of the airport.

[0003] Chinese Patent CN 118032048 A proposes a method and storage medium for detecting and processing aviation warning light faults, including: collecting raw data from the operation of the aviation warning light; monitoring and analyzing the raw data to obtain fault information; and encrypting and packaging the fault information and corresponding aviation warning light operating information, which is then sent to a management terminal at the corresponding level for decision-making based on pre-set permissions. This application collects raw data from the operation of the aviation warning light in real time and monitors and analyzes it, enabling timely acquisition of aviation warning light fault information to facilitate personnel in locating and repairing the faulty aviation warning light. However, this patent still relies heavily on manual labor, making it difficult to achieve self-repair. Furthermore, this patent does not address the issue of the original warning light failing while waiting for the mobile warning light to be installed. Therefore, there is an urgent need for an intelligent aviation warning light control system to address the existing issues of the difficulty of self-repairing aviation warning lights and the resulting failure of the warning light while waiting for the mobile warning light to be installed. Summary of the Invention

[0004] The present invention provides an intelligent control system for aviation warning lights based on the Internet of Things, which is used to overcome the problems of existing aviation warning lights, such as excessive reliance on manual operation in the event of a fault, lack of self-repair capability, and inability of the fault warning lights to function effectively while waiting for the mobile aviation warning lights to be set up.

[0005] To this end, the present invention provides an intelligent control system for aviation warning lights based on the Internet of Things, comprising: The collection module includes a plurality of sensors and light scattering particle counters, each sensor is used to periodically collect the radiation intensity of the corresponding aviation warning light, and each light scattering particle counter is used to periodically collect the aerosol concentration of the environment where the aviation warning light is located. The transmission module is connected with the collection module, and is used to compress and return the collected data. The data processing module is connected with the transmission module, and is used to calculate the difference between the irradiance of the corresponding aviation warning light collected by a single sensor in a unit time and the irradiance of the corresponding aviation warning light in the state of non-starting and the state of maximum brightness. The analysis module is connected with the data processing module, and is used to determine the working state of the aviation warning light based on the radiation change state of the aviation warning light in a unit time, determine the abnormal reason of the aviation warning light based on the overall working state of the aviation warning light when the working state of a single aviation warning light is determined to be abnormal, and generate a control instruction of a corresponding processing mode based on the corresponding reason, including correcting the operating parameters of the corresponding aviation warning light, or correcting the compression ratio of the transmission module for the obtained data. The control module is connected with the analysis module and the transmission module, and is used to adjust the operating parameters of the corresponding components based on the control instruction.

[0006] Further, the analysis module is used to determine the working state of a single aviation warning light based on the unit irradiance difference, and determine the abnormal reason based on the overall working state of the aviation warning light when the working state is determined to be abnormal. The unit irradiance difference refers to the difference between the irradiance of the corresponding aviation warning light when the brightness reaches the maximum value and the irradiance in the non-starting state collected by a single sensor in a unit time.

[0007] Further, the analysis module is also used to determine the abnormal reason of the aviation warning light based on the abnormal rate of the aviation warning light, and determine the abnormal reason by combining the unit irradiance difference of the current abnormal state aviation warning light and the unit irradiance difference after N unit times of the aviation warning light when the individual failure is determined. The abnormal rate of the aviation warning light refers to the proportion of the number of abnormal aviation warning lights in the total number of aviation warning lights.

[0008] Further, the analysis module is also used to determine the abnormal reason of the aviation warning light based on the unit irradiance difference, and correct the current of the corresponding aviation warning light or recalibrate the timer of the aviation warning light based on the working time of the aviation warning light according to the determined reason. The unit irradiance difference variance refers to the variance of the unit irradiance difference in the current unit time to N unit times.

[0009] Furthermore, the analysis module is further configured to increase the current of the aviation warning light based on the working time of the aviation warning light, and the increase in the current is proportional to the working time of the aviation warning light.

[0010] Furthermore, the analysis module is further configured to determine the abnormal cause of the aviation warning light based on the abnormal rate of the aviation warning light, and, if a group fault is determined, determine the abnormal cause of the aviation warning light based on the air aerosol state.

[0011] Furthermore, the analysis module is also used to determine the abnormal reason of the aviation warning light based on the average aerosol concentration, and to replace the power supply according to the determined reason, or to correct the current pulse duty cycle based on the difference between the set preset unit irradiance and the unit irradiance difference.

[0012] Furthermore, the analysis module is further configured to increase the duty cycle based on the irradiance difference, and the increase in the duty cycle is proportional to the irradiance difference; The irradiance difference refers to the difference between the preset unit irradiance and the unit irradiance difference.

[0013] Furthermore, the analysis module is also used to determine the transmission status of the transmission module based on the cumulative number of adjustments, and to correct the data compression ratio based on the difference between the abnormal rate of the aviation warning light and the preset abnormal rate of the aviation warning light when the transmission status is determined to be abnormal.

[0014] Furthermore, the analysis module is used to increase the data compression ratio based on the abnormal rate difference, and the increase in the data compression ratio is proportional to the abnormal rate difference; The abnormal rate difference is the difference between the abnormal rate of the aviation warning light and the abnormal rate of the preset aviation warning light.

[0015] Compared with the prior art, the present application has the beneficial effects that the present application provides an aviation warning light intelligent control system based on Internet of Things, which realizes comprehensive monitoring and intelligent management of aviation warning lights by integrating multiple functional modules. The acquisition module can periodically obtain key data such as radiation intensity and aerosol concentration of the aviation warning light, providing accurate basis for subsequent analysis and decision-making. The transmission module compresses and returns the collected data, effectively saving transmission resources and improving data transmission efficiency. The data processing module calculates the collected data to provide data support for the analysis module. The analysis module judges the working state of the aviation warning light based on the radiation change state per unit time, and when an abnormality is found, it can further analyze the abnormal reason and correct the parameters such as the timer, working current intensity, power supply, current pulse duty cycle and data compression ratio of the aviation warning light, realizing intelligent maintenance and optimization of the aviation warning light. The receiving module receives the user's control instructions, and the control module controls the corresponding module according to the instructions of the analysis module or the instructions of the receiving module, so that the system can flexibly respond to user needs. By integrating the acquisition module, transmission module, data processing module, analysis module, receiving module and control module, the system proposed in the present application effectively solves the problems of high dependence on manual operation, lack of self-repairing ability and inability to effectively play the role of the fault warning light during the waiting period for moving the aviation warning light, significantly improves the operation efficiency, reliability and safety of the aviation warning light, and provides an efficient, intelligent and reliable solution for the management of aviation warning lights.

[0016] Further, by comparing the actual unit irradiance difference value with the preset unit irradiance difference value, the analysis module can quickly and accurately identify whether the aviation warning light is in an abnormal working state. This judgment method based on unit irradiance difference not only improves the accuracy of fault detection, but also discovers potential fault hazards in time, which saves valuable time for subsequent fault diagnosis and treatment, and further enhances the reliability and safety of the system.

[0017] Further, the abnormal rate of the aviation warning light refers to the proportion of the number of aviation warning lights in an abnormal working state in the total number of aviation warning lights. This judgment method based on the group state helps maintenance personnel quickly determine the fault range, thereby significantly improving the efficiency and accuracy of judgment. In addition, the claim further proposes that when an individual fault is determined, the variance of the current radiation difference of the aviation warning light and the radiation difference after N unit times of the aviation warning light is further used to judge the abnormal reason, which further refines the fault diagnosis process, provides strong support for accurately locating the fault source, reduces unnecessary inspection and maintenance work, and reduces maintenance costs.

[0018] Furthermore, by analyzing the variance of the unit irradiance difference, the system can quickly identify the specific type of fault, thereby providing maintenance personnel with a more accurate basis for fault diagnosis. Furthermore, the claim also stipulates that when the first cause is determined, the corresponding aviation warning light current is corrected based on the aviation warning light's operating hours, and when the second cause is determined, the aviation warning light timer is recalibrated. This enables targeted treatment of different fault types, improves the success rate of fault repair, further enhances the system's intelligence level and self-repair capabilities, and effectively ensures the normal operation of the aviation warning light.

[0019] Furthermore, the analysis module applies different current correction thresholds based on the operating hours of the aviation warning lights to increase the current of the corresponding aviation warning lights to compensate for brightness loss due to aging. The current increase is proportional to the variance difference. This dynamic adjustment ensures that the aviation warning lights reach the desired intensity within a short period of time while avoiding damage and safety hazards caused by overcompensation. In this way, the system ensures that the aviation warning lights meet the required intensity while maximizing the lifespan of the lights and ensuring system safety and reliability. This effectively reduces long-term operating costs and improves the economic and practicality of the aviation warning lights.

[0020] Furthermore, by monitoring aerosol concentrations, the system can distinguish between true faults and false faults caused by environmental factors, avoiding unnecessary repairs and waste of resources due to misjudgments. This environmentally informed judgment method improves the system's environmental adaptability and stability, ensuring the proper operation of aviation warning lights in complex environments. This enhances the system's reliability and practicality, providing a more accurate and efficient means of fault diagnosis for aviation warning light management in airports and other locations.

[0021] Furthermore, the analysis module determines the abnormal cause based on the average aerosol concentration. When the average aerosol concentration is less than or equal to the preset value, it is determined to be a group fault caused by the third cause. At this time, an instruction to replace the power supply is issued to resolve the fault caused by unstable power supply. If the average aerosol concentration is greater than the preset value, it is determined to be a group fault caused by the fourth cause, that is, insufficient atmospheric visibility due to excessively high aerosol concentration, resulting in a false fault. At this time, the current pulse duty cycle is corrected based on the difference between the unit irradiance difference and the preset unit irradiance difference to compensate for the insufficient brightness. This processing method of taking different measures based on different causes further optimizes the system's processing effect on group faults, improves the system's intelligence level and adaptability, ensures that aviation warning lights can maintain optimal working conditions under different environmental conditions, and provides stronger protection for aviation safety.

[0022] Furthermore, the irradiance difference refers to the difference between the unit irradiance difference and the preset unit irradiance difference. This parameter can reflect the deviation between the current radiation intensity of the aviation warning light and the ideal radiation intensity. By increasing the duty cycle based on the irradiance difference, the system can compensate for insufficient brightness while avoiding overcompensation, and protect the lamps from electrical component overload and thermal effects, thereby extending their service life. The increase in the duty cycle is proportional to the irradiance difference, which enables precise control of the brightness. In addition, in this way, the system can dynamically adjust the brightness according to the real-time monitored irradiance difference, ensuring that the aviation warning lights always maintain the best working condition under complex conditions, effectively avoiding the impact of extreme weather such as heavy fog on the working condition of the aviation warning lights, improving the reliability and adaptability of the system, and providing more reliable protection for aviation safety.

[0023] Furthermore, the analysis module determines the transmission status by the cumulative number of adjustments. When the cumulative number of adjustments exceeds a preset threshold, the transmission status is determined to be abnormal. At this time, the data compression ratio is corrected based on the difference between the abnormal rate of the aviation warning light and the preset abnormal rate of the aviation warning light, and the data compression strategy can be dynamically adjusted to optimize data transmission efficiency. This method not only reduces the network burden and improves transmission stability, but also reduces frequent adjustments caused by transmission problems, thereby improving the operating efficiency and reliability of the system. By dynamically adjusting the data compression ratio, the system can optimize data transmission in real time according to the actual operating status, ensuring efficient data transmission under different network conditions, enhancing the intelligence level and adaptability of the system, and providing strong support for the stable operation of the aviation warning light.

[0024] Furthermore, the analysis module increases the data compression ratio based on the abnormal rate difference, and the increase in the data compression ratio is proportional to the abnormal rate difference. This adjustment method can optimize data transmission in real time according to the system operating status, reduce the amount of transmitted data, and save bandwidth resources. When the abnormal rate is high, appropriately increasing the data compression ratio can effectively reduce the network burden and improve transmission efficiency, while avoiding the risk of system instability caused by data transmission problems. In addition, by dynamically adjusting the data compression ratio, the system can maintain optimal performance under different operating conditions, quickly respond to environmental changes, and ensure that aviation warning lights always maintain optimal working conditions under complex conditions, further improving the system's resource utilization efficiency and adaptability, and providing more reliable guarantees for the efficient operation of aviation warning lights. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a module block diagram of an intelligent control system for aviation warning lights based on the Internet of Things in an embodiment of the present invention; Figure 2 This is a workflow diagram of an intelligent control system for aviation warning lights based on the Internet of Things in an embodiment of the present invention; Figure 3 This is a flow chart of determining the abnormal reason for the aviation warning light based on the unit irradiance difference variance in an embodiment of the present invention; Figure 4 The flowchart of increasing the data compression ratio based on the abnormal rate difference in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0026] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0027] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0028] See also Figure 1 As shown in FIG, it is a module block diagram of an aviation warning light intelligent control system based on the Internet of Things in an embodiment of the present invention. The aviation warning light intelligent control system based on the Internet of Things in an embodiment of the present invention includes: an acquisition module, a transmission module, a data processing module, an analysis module and a control module, wherein: The acquisition module includes several sensors and light scattering particle counters, each sensor is used to periodically collect the radiation intensity of the corresponding aviation warning light, and each light scattering particle counter is used to periodically collect the aerosol concentration of the environment in which the corresponding aviation warning light is located; The transmission module is connected to the acquisition module and is used to compress and transmit the collected data back; The data processing module is connected to the transmission module and is used to calculate the difference in irradiance between the aviation warning light in an inactive state and the state where the brightness reaches the maximum value collected by a single sensor per unit time. The analysis module is connected to the data processing module and is used to determine the operating status of the aviation warning light based on the radiation change state of the aviation warning light per unit time, and, when the operating status of a single aviation warning light is determined to be abnormal, determine the cause of the abnormality based on the overall operating status of the aviation warning light, and generate a control instruction for a corresponding processing method based on the corresponding cause, including modifying the operating parameters of the corresponding aviation warning light, or modifying the compression ratio of the data obtained by the transmission module; The control module is connected to the analysis module and the transmission module, and is used to adjust the operating parameters of the corresponding components based on the control instructions.

[0029] See also Figure 2As shown in FIG, which is a workflow diagram of the aviation warning light intelligent control system based on the Internet of Things in an embodiment of the present invention, the aviation warning light intelligent control system based on the Internet of Things in an embodiment of the present invention includes the following steps when in operation: S1: The collection module periodically collects the radiation intensity and aerosol concentration of the aviation warning light; S2: The transmission module compresses the collected data and transmits it back; S3: The data processing module calculates the collected data; S4: The analysis module determines the operating status of the aviation warning light based on the radiation change state of the aviation warning light per unit time. If the operating status of a single aviation warning light is determined to be abnormal, the analysis module determines the cause of the abnormality based on the overall operating status of the aviation warning light. Based on the cause, the analysis module generates a control instruction for a corresponding treatment method, including modifying the operating parameters of the corresponding aviation warning light or modifying the compression ratio of the acquired data by the transmission module. S5: The control module adjusts the operating parameters of the corresponding components based on the control instructions of the analysis module.

[0030] Furthermore, the analysis module is used to determine the working status of a single aviation warning light based on the unit irradiance difference, and, when it is determined to be in an abnormal working state, determine the abnormal cause based on the overall working state of the aviation warning light; During the operation of aviation warning lights, electrical energy is converted into light energy. During this energy conversion process, the light source will emit energy in the form of electromagnetic waves. This is the so-called "light radiation". Light radiation can fully reflect the energy emitted by the light source, including not only light visible to the human eye (visible light), but also energy of other wavelengths such as infrared and ultraviolet rays. Using light radiation to measure the working status of aviation warning lights can avoid misunderstandings caused by visual differences, thereby providing a more accurate judgment standard for the working status of aviation warning lights. Irradiance refers to the radiation flux per unit area of ​​the illuminated surface, which reflects the radiation power per unit area at a certain moment. For aviation warning lights, their flashing brightness and frequency can be used as a medium for transmitting information. Therefore, in this solution, the unit irradiance difference is used to judge the working status of a single aviation warning light. The unit irradiance difference refers to the difference between the irradiance at which the brightness of the corresponding aviation warning light reaches the maximum value collected by a single sensor per unit time and the irradiance in the non-activated state. For aviation warning lights, whether there is a problem with the frequency or the brightness, the unit irradiance difference cannot be equal to the predetermined level. Therefore, the unit irradiance difference can be used to quickly judge the status of a single aviation warning light, thereby improving detection efficiency.

[0031] In principle, the unit time is not limited. For example, it can be half of the flashing frequency of the aviation warning light, that is, the time from when the aviation warning light is not started to when the brightness of the aviation warning light reaches the maximum value. This is not elaborated here.

[0032] Specifically, the process of the analysis module determining the current working status of a single aviation warning light based on the unit irradiance difference includes: The analysis module obtains the unit irradiance difference A and compares the unit irradiance difference A with a preset unit irradiance difference A1, wherein the preset unit irradiance difference A1 is not limited in principle and can be summarized based on actual conditions and the rules of various historical data; If the unit irradiance difference A is not equal to the preset unit irradiance difference A1, the analysis module determines that the current working state is abnormal. The analysis module determines the abnormal cause based on the overall working state of the aviation warning light.

[0033] Furthermore, the analysis module is further configured to determine the abnormal cause of the aviation warning light based on the abnormal rate of the aviation warning light, and, when determining an individual fault, to determine the abnormal cause by combining the variance of the unit irradiance difference of the aviation warning light in the current abnormal state and the unit irradiance difference of the aviation warning light after N unit times; When determining if an aviation warning light is malfunctioning, this solution calculates the abnormality rate of the lights to provide a preliminary assessment of whether the fault is localized or systemic. The abnormality rate is the ratio of abnormally functioning lights to the total number of lights. A low abnormality rate typically indicates a specific issue with a particular light, such as aging or a timer failure. A high abnormality rate, however, suggests a systemic fault. By analyzing the abnormality rate, the fault can be quickly and preliminarily located, significantly improving the efficiency and accuracy of the diagnosis.

[0034] Specifically, the process of the analysis module determining the abnormal cause of the aviation warning light based on the abnormal rate of the aviation warning light includes: The analysis module obtains the aviation warning light abnormality rate B and compares the aviation warning light abnormality rate B with a preset aviation warning light abnormality rate B1, wherein the preset aviation warning light abnormality rate B1∈[3, 10%]. According to the mandatory provisions of Annex 14 of the International Civil Aviation Organization (ICAO), the lighting rate of the aviation warning light system must be guaranteed to be no less than 95%. Since in this solution, when the brightness of the aviation warning light fails to meet the standard expectation, it is also considered abnormal. Therefore, the preset aviation warning light abnormality rate B1∈[3, 10%] is set; If the aviation warning light abnormal rate B is less than or equal to the preset aviation warning light abnormal rate B1, the analysis module determines that the current fault is an individual fault and the current aviation warning light fault is caused by a fault in an individual lamp. At this time, the abnormal cause is determined based on the variance of the unit irradiance difference of the aviation warning light in the current abnormal state and the unit irradiance difference of the aviation warning light after N unit times. Among them, when there are multiple aviation warning lights that are abnormal, but their overall abnormal rate is less than the preset aviation warning light abnormal rate, the same judgment method and processing method as for individual faults are used for adjustment and correction.

[0035] Furthermore, the analysis module is further configured to determine a cause of abnormality of the aviation warning light based on the unit irradiance difference variance, and to correct a corresponding current of the aviation warning light based on the operating time of the aviation warning light according to the determined cause, or to recalibrate a timer of the aviation warning light; The unit irradiance difference variance refers to the variance of the unit irradiance difference from the current unit time to N unit times. The unit irradiance difference variance reflects the fluctuation of the unit irradiance difference from the current unit time to N unit times. When the flashing frequency of the aviation warning light is normal but the brightness has problems, the unit irradiance difference variance is small. When the brightness of the aviation warning light is normal but the flashing frequency has problems, the unit irradiance difference from the current unit time to N unit times will fluctuate greatly. The unit irradiance difference variance can be used to quickly identify the specific fault type of the aviation warning light, thereby providing maintenance personnel with a more accurate fault diagnosis basis and further improving the efficiency and accuracy of fault detection.

[0036] See also Figure 3 As shown, it is a flow chart of determining the abnormal cause of the aviation warning light based on the unit irradiance difference variance in an embodiment of the present invention; the process of the analysis module determining the abnormal cause of the aviation warning light based on the unit irradiance difference variance includes: The analysis module obtains the unit irradiance difference variance C, and compares the unit irradiance difference variance C with a preset unit irradiance difference variance C1, wherein the preset unit irradiance difference variance C1∈[3,15]; If the unit irradiance difference variance C is less than or equal to the preset unit irradiance difference variance C1, the analysis module determines that the current aviation warning light failure is caused by aging of the aviation warning light. At this time, in order to buy time for the staff to set up a mobile aviation warning light, the analysis module corrects the current size based on the working time of the aviation warning light; If the unit irradiance difference variance C is greater than the preset unit irradiance difference variance C1, the analysis module determines that the aviation warning light timer calibration has failed, and the analysis module issues a timer automatic calibration instruction.

[0037] Furthermore, the analysis module is further configured to increase the current corresponding to the aviation warning light based on the working time of the aviation warning light, and the increase in the current is proportional to the working time of the aviation warning light.

[0038] For most aviation warning lights, there is usually a linear relationship between light intensity and current. This means that within a certain range, increasing the current will directly lead to a linear increase in light intensity. As the use time increases, the light-emitting elements gradually age, and this aging will cause the luminous efficiency to decrease. Even at the same current, the light intensity emitted by the aviation warning light will weaken. Therefore, at this time, the current is increased in exchange for the light intensity requirements of the aviation warning light to be met in a short period of time. However, blindly increasing the current may exceed the maximum allowable current of the lamp, causing damage to the lamp or even causing a safety accident. At this time, correcting the current according to the use time of the aviation warning light helps to ensure that the current increase is adjusted according to the aging degree of the aviation warning light, avoiding too many adjustments causing transmission pressure, or a single compensation that is too high causing safety risks. In this way, while ensuring that the aviation warning light intensity meets the requirements, the service life of the lamp can be maximized, and the safety and reliability of the system can be guaranteed.

[0039] Specifically, the working process of the analysis module increasing the current magnitude based on the working time of the aviation warning light includes: The analysis module obtains the operating time T of the aviation warning light, and compares the operating time T of the aviation warning light with a set first operating time T1 and a set second operating time T2, wherein the first operating time T1 is set to 50% of the expected life of the aviation warning light, and the second operating time T2 is set to 70% of the expected life of the aviation warning light; If the operating time T of the aviation warning light is less than or equal to the first operating time T1, the analysis module uses the first current correction threshold α1 to correct the current of the corresponding aviation warning light, the corrected current I'=I×α1, and the first current correction threshold α1 is set to 1.03; If the operating time T of the aviation warning light is greater than the first operating time T1 and less than or equal to the second operating time T2, the analysis module uses the second current correction threshold α2 to correct the corresponding aviation warning light current, the corrected current I'=I×α2, and the second current correction threshold α2 is set to 1.08; If the operating time T of the aviation warning light is greater than the second operating time T2, the analysis module uses the third current correction threshold α3 to correct the corresponding aviation warning light current, the corrected current I'=I×α3, and the third current correction threshold α3 is set to 1.14.

[0040] Furthermore, the analysis module is further configured to determine the abnormal cause of the aviation warning light based on the abnormal rate of the aviation warning light, and, if a group failure is determined, determine the abnormal cause of the aviation warning light based on the air aerosol state.

[0041] Specifically, the process of the analysis module determining the abnormal cause of the aviation warning light based on the abnormal rate of the aviation warning light includes: The analysis module obtains the abnormal rate B of the aviation warning light, and compares the abnormal rate B with a preset abnormal rate B1 of the aviation warning light, wherein the preset abnormal rate B1∈[3, 10%]; If the aviation warning light abnormal rate B is greater than the preset aviation warning light abnormal rate B1, the analysis module determines that the current situation is a group fault. The current aviation warning light fault is caused by a group fault. At this time, there may be two situations: one is a real fault caused by factors such as power instability, and the other is a false fault caused by weather conditions. Therefore, in an embodiment of the present invention, when the analysis module determines that it is a group fault, it determines the cause of the abnormality of the aviation warning light based on the air aerosol state.

[0042] Furthermore, the analysis module is used to determine the abnormal reason of the aviation warning light based on the average aerosol concentration, and to replace the power supply according to the determined reason, or to correct the current pulse duty cycle based on the difference between the set preset unit irradiance and the unit irradiance difference.

[0043] Aerosol concentration reflects the number or mass distribution of solid or liquid particles suspended in the atmosphere. The particle size of these particles is usually between 0.1 and 1 micron, and they have a strong scattering effect on visible light. As the aerosol concentration increases, light will encounter more particles during propagation, causing a large amount of light to be scattered in all directions, thereby significantly reducing atmospheric visibility. By monitoring the aerosol concentration in the air, it is possible to determine whether the current group failure of aviation warning lights is a "false failure" caused by high aerosol concentration, thereby providing a scientific basis for fault diagnosis and maintenance of aviation warning lights.

[0044] Specifically, the process of the analysis module determining the abnormal reason for the aviation warning light based on the aerosol concentration includes: The analysis module obtains an average aerosol concentration D, and compares the average aerosol concentration D with a preset average aerosol concentration D1, wherein the preset average aerosol concentration D1∈[300,800 μg / m³]; If the aerosol concentration average value D is less than or equal to the preset aerosol concentration average value D1, the analysis module determines that the aviation warning light malfunction is currently caused by unstable power supply, and issues a power supply replacement instruction so that the aviation warning light uses relevant parameters corresponding to the operating power supply standard; If the aerosol concentration average value D is greater than the preset aerosol concentration average value D1, the analysis module determines that the current fault is caused by excessively high aerosol concentration and insufficient atmospheric visibility. At this time, the current pulse duty cycle is corrected based on the difference between the preset unit irradiance and the unit irradiance difference.

[0045] Furthermore, the analysis module is further configured to increase the duty cycle based on the irradiance difference, and the increase in the duty cycle is proportional to the irradiance difference; When the aerosol concentration is too high, resulting in insufficient brightness of the aviation warning lights, which in turn affects their warning effect, it is necessary to increase the brightness of the aviation warning lights. Currently, there are two main ways to adjust the brightness: one is to directly increase the current of the corresponding aviation warning lights, but this method may accelerate the aging of electrical components; the other is to increase the brightness by adjusting the duty cycle of the pulse; by adjusting the duty cycle, the aviation warning lights only work during the high level period of the pulse and do not consume power during the low level period. This method is not only more energy-efficient than directly adjusting the current, but also effectively avoids the increase in internal temperature of the lamp caused by the increase in current, reducing heat accumulation. , thereby extending the service life of the lamp; the irradiance difference refers to the difference between the preset unit irradiance and the unit irradiance difference, which reflects the deviation between the current radiation intensity of the aviation warning light and the ideal radiation intensity. Increasing the duty cycle based on the irradiance difference helps to compensate for insufficient brightness while avoiding overcompensation, and protects the lamp from electrical component overload and thermal effects, extending the service life. The brightness is dynamically adjusted according to the real-time monitored irradiance difference. The present invention can ensure that the aviation warning light always maintains the best working state under complex conditions, so as to avoid the impact of extreme weather such as heavy fog on the working state of the aviation warning light.

[0046] Specifically, the process of the analysis module increasing the duty cycle based on the irradiance difference includes: The analysis module obtains the irradiance difference E and compares the irradiance difference E with the set first irradiance difference E1 and the second irradiance difference E2. In principle, the specific values ​​of the first irradiance difference E1 and the second irradiance difference E2 are not limited. The technicians can summarize them based on the actual situation and the rules of various historical data. Here, the first irradiance difference E1∈[2,10W / cm²) and the second irradiance difference E2∈[10,20W / cm²] are set; If the irradiance difference E is less than or equal to the first irradiance difference E1, the analysis module uses the first duty cycle correction threshold β1 to correct the duty cycle, the corrected duty cycle F'=F×β1, and the first duty cycle correction threshold β1 is set to 1.03; If the irradiance difference E is greater than the first irradiance difference E1 and less than or equal to the second irradiance difference E2, the analysis module uses the second duty cycle correction threshold β2 to correct the duty cycle, and the corrected duty cycle F'=F×β2, and the second duty cycle correction threshold β2 is set to 1.07; If the irradiance difference E is greater than the second irradiance difference E2, the analysis module uses the third duty cycle correction threshold β3 to correct the duty cycle, the corrected duty cycle F'=F×β3, and the third duty cycle correction threshold β3 is set to 1.13.

[0047] Furthermore, the analysis module is also used to judge the transmission status of the transmission module based on the cumulative number of adjustments, and to correct the data compression ratio based on the difference between the aviation warning light abnormal rate and the preset aviation warning light abnormal rate when the transmission status is judged to be abnormal. Frequent adjustments may be caused by poor data transmission status. Therefore, the transmission status is judged based on the cumulative number of adjustments of the aviation warning light as a whole during this working process, and when the transmission status is judged to be poor, the data compression ratio is corrected based on the difference between the aviation warning light abnormal rate and the preset aviation warning light abnormal rate, thereby dynamically adjusting the data compression ratio to adapt to different transmission statuses.

[0048] Specifically, the process of the analysis module determining the transmission status based on the cumulative number of adjustments includes: The analysis module obtains the cumulative adjustment times G and compares the cumulative adjustment times G with the preset cumulative adjustment times G1, wherein the preset cumulative adjustment times G1∈[10,20] is set, and the preset cumulative adjustment times are set to 10-20 times, which can ensure that the system can detect potential faults at an early stage and take timely measures, while avoiding false alarms caused by accidental interference and maintaining system stability; If the cumulative adjustment times G is greater than the preset cumulative adjustment times G1, the analysis module determines that the current transmission state is abnormal, and the analysis module corrects the data compression ratio based on the difference between the aviation warning light abnormal rate and the preset aviation warning light abnormal rate.

[0049] Furthermore, the analysis module is used to increase the data compression ratio based on the abnormal rate difference, and the increase in the data compression ratio is proportional to the abnormal rate difference; The abnormality rate difference is the difference between the aviation warning light abnormality rate and the preset aviation warning light abnormality rate, reflecting the deviation between the system's operating state and the ideal state. Increasing the data compression ratio can reduce the amount of transmitted data, alleviate network burden, and improve transmission efficiency. Dynamically adjusting the data compression ratio can optimize transmission strategies in real time based on changes in the abnormality rate difference, reducing the risk of misjudgment and system instability caused by unstable transmission. Furthermore, this approach conserves bandwidth resources, optimizes system performance, and rapidly responds to environmental changes, ensuring that aviation warning lights maintain optimal operating conditions under complex conditions. The increase in the data compression ratio is proportional to the abnormality rate difference, enabling precise dynamic adjustment within a certain range to ensure efficient data transmission and stable operation of the system under different operating conditions.

[0050] See also Figure 4 As shown, it is a flow chart of increasing the data compression ratio based on the abnormal rate difference in an embodiment of the present invention. The process of the analysis module for increasing the data compression ratio based on the abnormal rate difference includes: The analysis module obtains an abnormal rate difference K, and compares the abnormal rate difference K with a set first abnormal rate difference K1 and a set second abnormal rate difference K2, wherein the first abnormal rate difference K1∈[5,20%) and the second abnormal rate difference K2∈[20,30%] are set. The first abnormal rate difference K1∈[5,20%), and the lower limit of 5% corresponds to the lighting rate requirement in the mandatory regulations of the International Civil Aviation Organization. Airport operation and maintenance practice shows that when the proportion of fault lights is less than 20%, the problem caused by poor data transmission can be corrected by slightly adjusting the data compression ratio. When the abnormal rate further increases, the data compression ratio needs to be further corrected to avoid the impact of poor data transmission on the working state of the aviation warning light. Therefore, the second abnormal rate difference K2∈[20,30%] is set to provide a judgment standard for the optimization of the data compression ratio; If the abnormal rate difference K is less than or equal to the first abnormal rate difference K1, the analysis module uses the first data compression threshold θ1 to correct the data compression ratio Z, and the corrected data compression ratio Z'=Z×θ1, wherein the first data compression threshold θ1 is set to 1.05; If the abnormal rate difference K is greater than the first abnormal rate difference K1 and less than or equal to the second abnormal rate difference K2, the analysis module uses the second data compression threshold θ2 to correct the data compression ratio Z, and the corrected data compression ratio Z'=Z×θ2, wherein the second data compression threshold θ2 is set to 1.11; If the abnormal rate difference K is greater than the second abnormal rate difference K2, the analysis module uses the third data compression threshold θ3 to correct the data compression ratio Z, and the corrected data compression ratio Z'=Z×θ3, wherein the third data compression threshold θ3 is set to 1.17.

[0051] In summary, the present invention discloses an IoT-based intelligent control system for aviation obstruction lights. This system integrates six major functions, namely, on-site perception, data feedback, edge computing, fault diagnosis, remote interaction, and closed-loop control, into an integrated platform to achieve full lifecycle management of aviation obstruction lights. The on-site perception module collects core indicators such as the radiation intensity of the lamp and the surrounding aerosol concentration at a fixed period, providing high-precision raw data for subsequent decision-making. The data feedback module uses a compression algorithm to perform lightweight processing on the collected data, significantly reducing wireless channel occupancy and improving real-time transmission. The edge computing module performs data preprocessing and feature extraction locally, outputting high-quality information that can be directly used by the fault diagnosis module. The fault diagnosis module automatically identifies lamp anomalies by monitoring the radiation change curve per unit time, and further traces the root cause when a fault is detected, dynamically adjusting the timer, current amplitude, power supply strategy, pulse duty cycle, and compression ratio to achieve "self-repairing" maintenance. The remote interaction module allows users to issue control commands through multiple terminals, and the system responds immediately to meet temporary scheduling or manual intervention needs. The closed-loop control module integrates diagnostic results with user commands to accurately drive the various functional modules to work together to form an adaptive closed loop. Compared with the existing model that relies on manual inspections and passive replacement of mobile lamps after failures, this system significantly reduces labor costs, shortens fault response time, and ensures that the lamps continue to play a warning role within the maintenance window, thereby comprehensively improving the reliability, safety and operation and maintenance efficiency of aviation obstruction lights.

[0052] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. An intelligent control system for aviation warning lights based on the Internet of Things, characterized in that: include, The collection module includes several sensors and light scattering particle counters. Each sensor is used to periodically collect the radiation intensity of the corresponding aviation warning light, and each light scattering particle counter is used to periodically collect the aerosol concentration of the environment in which the corresponding aviation warning light is located. A transmission module, connected to the acquisition module, for compressing and transmitting the collected data; A data processing module connected to the transmission module, for calculating the difference in irradiance between the aviation warning light in an inactive state and the state where the brightness reaches the maximum value, collected by a single sensor per unit time, based on the collected data; an analysis module connected to the data processing module, configured to determine the operating status of the aviation warning lights based on a radiation change state per unit time of the aviation warning lights, and, if the operating status of a single aviation warning light is determined to be abnormal, determine the cause of the abnormality based on the overall operating status of the aviation warning lights, and generate control instructions for corresponding processing methods based on the corresponding cause, including modifying operating parameters of the corresponding aviation warning light or modifying a compression ratio of the data acquired by the transmission module; A control module is connected to the analysis module and the transmission module, and is used to adjust the operating parameters of the corresponding components based on the control instructions.

2. The intelligent control system for aviation warning lights based on the Internet of Things according to claim 1 is characterized in that: The analysis module is used to determine the working state of a single aviation warning light based on the unit irradiance difference, and, when it is determined to be in an abnormal working state, determine the cause of the abnormality based on the overall working state of the aviation warning light; The unit irradiance difference refers to the difference between the irradiance at which the brightness of the corresponding aviation warning light reaches the maximum value and the irradiance in the non-activated state collected by a single sensor within a unit time.

3. The intelligent control system for aviation warning lights based on the Internet of Things according to claim 2 is characterized in that: The analysis module is further configured to determine the abnormal cause of the aviation warning light based on the abnormal rate of the aviation warning light, and, when determining an individual fault, to determine the abnormal cause by combining the variance of the unit irradiance difference of the aviation warning light in the current abnormal state and the unit irradiance difference of the aviation warning light after N unit times; The abnormal rate of aviation warning lights refers to the proportion of abnormally working aviation warning lights to the total number of aviation warning lights.

4. The intelligent control system for aviation warning lights based on the Internet of Things according to claim 3 is characterized in that: The analysis module is further configured to determine a cause of abnormality of the aviation warning light based on the unit irradiance difference variance, and to correct a corresponding current of the aviation warning light based on the operating time of the aviation warning light according to the determined cause, or to recalibrate a timer of the aviation warning light; The unit irradiance difference variance refers to the variance of the unit irradiance difference from the current unit time to N unit times.

5. The intelligent control system for aviation warning lights based on the Internet of Things according to claim 4 is characterized in that: The analysis module is further configured to increase the current corresponding to the aviation warning light based on the working time of the aviation warning light, and the increase in the current is proportional to the working time of the aviation warning light.

6. The aviation warning light intelligent control system based on the Internet of Things according to claim 3 is characterized in that: The analysis module is further configured to determine the abnormal cause of the aviation warning light based on the aerosol state when the abnormal cause of the aviation warning light is a group failure based on the abnormal rate of the aviation warning light.

7. The intelligent control system for aviation warning lights based on the Internet of Things according to claim 6 is characterized in that: The analysis module is used to determine the abnormal reason of the aviation warning light based on the average aerosol concentration, and replace the power supply according to the determined reason, or correct the current pulse duty cycle based on the difference between the preset unit irradiance and the unit irradiance difference.

8. The intelligent control system for aviation warning lights based on the Internet of Things according to claim 7 is characterized in that: The analysis module is further configured to increase the duty cycle based on the irradiance difference, and the increase in the duty cycle is proportional to the irradiance difference; The irradiance difference refers to the difference between the preset unit irradiance and the unit irradiance difference.

9. The aviation warning light intelligent control system based on the Internet of Things according to claim 8 is characterized in that: The analysis module is further configured to determine the transmission status of the transmission module based on the cumulative number of adjustments, and to correct the data compression ratio based on the difference between the abnormal rate of the aviation warning light and the preset abnormal rate of the aviation warning light when the transmission status is determined to be abnormal.

10. The aviation warning light intelligent control system based on the Internet of Things according to claim 9 is characterized in that: The analysis module is used to increase the data compression ratio based on the abnormal rate difference, and the increase in the data compression ratio is proportional to the abnormal rate difference; The abnormal rate difference is the difference between the abnormal rate of the aviation warning light and the abnormal rate of the preset aviation warning light.

Images