An airport radar monitoring device and method based on intelligent dispatching monitoring platform

Abstract

The present invention relates to the field of radar monitoring technology, and specifically discloses an airport radar monitoring device and method based on an intelligent scheduling monitoring platform. The method obtains an airport radar working environment condition data set, compares to obtain the airport radar pulse signal sending frequency, obtains an airport radar monitoring signal status data set, compares to obtain an airport radar monitoring identification deviation value, obtains an airport radar monitoring identification feature data set, comprehensively analyzes to obtain an airport radar monitoring identification feature value, imports the airport radar monitoring identification deviation value and the airport radar monitoring identification feature value into an airport radar monitoring identification model, determines whether a monitoring area has risks, and compares a scheduling plan for the monitoring area with risks, thereby solving the problem that the factors considered in traditional airport radar monitoring are single, helps to adapt to rapidly changing environmental conditions and operation requirements, and the dynamic adjustment capability ensures that the radar system can maintain optimal performance in various environments and conditions, thereby improving safety.

Description

Technical Field

[0001] The present invention relates to the field of radar monitoring technology, and in particular to an airport radar monitoring device and method based on an intelligent scheduling monitoring platform. Background Art

[0002] The rapid development of modern air traffic has led to a sharp increase in the number and frequency of flights at airports. In order to effectively manage and ensure the safety of aircraft takeoffs and landings, airports need more advanced monitoring and dispatching systems to handle increasingly complex air traffic. Traditional radar monitoring systems may not be able to fully meet the operational needs of modern airports. Therefore, it is particularly important to study more intelligent radar monitoring methods. Improving the operational efficiency and safety of airports is the primary task of managers of major airports, and providing early warning of potential security threats to better ensure aviation safety.

[0003] Nowadays, there are still some shortcomings in the research on airport radar monitoring based on an intelligent scheduling and monitoring platform. Specifically, the factors considered in traditional airport radar monitoring are single, and it is not flexible to deal with changing and complex situations. The single monitoring range limits the comprehensiveness of the radar system, which may lead to the neglect of other potential threats or interference. Traditional systems usually lack automatic adjustment and adaptability, resulting in blind spots in monitoring or reduced monitoring effects, which in turn affects the safety and efficiency of airport operations. Traditional systems usually rely on a single data source and lack the ability to integrate and process multi-source data, making it difficult to effectively use these multi-source data for intelligent comprehensive analysis and decision support. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an airport radar monitoring device and method based on an intelligent scheduling and monitoring platform, which can effectively solve the problems involved in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides an airport radar monitoring method based on an intelligent scheduling and monitoring platform, comprising the following steps: obtaining an airport radar working environment condition data set, and obtaining the airport radar pulse signal sending frequency by comparison based on the obtained airport radar working environment condition data set; obtaining an airport radar monitoring signal status data set, and obtaining the airport radar monitoring identification deviation value by comparison based on the obtained airport radar monitoring signal status data set; obtaining an airport radar monitoring identification feature data set based on the airport radar pulse signal sending frequency, and obtaining the airport radar monitoring identification feature value by comprehensive analysis based on the obtained airport radar monitoring identification feature data set; importing the airport radar monitoring identification deviation value and the airport radar monitoring identification feature value into the airport radar monitoring identification model to obtain the airport radar monitoring identification evaluation value; judging whether there is a risk in the monitoring area based on the airport radar monitoring identification evaluation value, and comparing the scheduling plan for the monitoring area with risk.

[0006] As a further solution, the airport radar working environment condition data set specifically includes the airport radar working environment altitude, the airport radar working environment background noise decibel value, and the airport radar working environment atmospheric refractive index.

[0007] As a further solution, based on the acquired airport radar working environment condition data set, the airport radar pulse signal sending frequency is obtained by comparison. The specific analysis process is: based on the acquired airport radar working environment condition data set, a comprehensive analysis is performed to obtain the airport radar working environment condition characteristic value, and the airport radar working environment condition characteristic value is used as the analysis basis for comparing the airport radar pulse signal sending frequency; the airport radar working environment condition characteristic value is compared with the airport radar pulse signal sending frequency corresponding to the airport radar working environment condition characteristic value stored in the database to obtain the airport radar pulse signal sending frequency corresponding to the airport radar working environment condition characteristic value.

[0008] As a further solution, based on the acquired airport radar surveillance signal status data set, the airport radar surveillance identification deviation value is obtained by comparison. The specific analysis process is: obtain the airport radar surveillance signal status data set, and the airport radar surveillance signal status data set specifically includes the airport radar surveillance antenna beam width, the airport radar surveillance signal pulse width, and the airport radar surveillance signal transmission power; based on the acquired airport radar surveillance signal status data set, a comprehensive analysis is performed to obtain the airport radar surveillance signal status characteristic value, and the airport radar surveillance signal status characteristic value is used as the analysis basis for comparing the airport radar surveillance identification deviation value; the airport radar surveillance signal status characteristic value is compared with the airport radar surveillance identification deviation value corresponding to each airport radar surveillance signal status characteristic value stored in the database to obtain the airport radar surveillance identification deviation value corresponding to the airport radar surveillance signal status characteristic value.

[0009] As a further solution, the airport radar monitors the signal status characteristic value, and the specific analysis process is as follows:

[0010]

[0011] Wherein, δ is the state characteristic value of the airport radar surveillance signal, sb is the airport radar surveillance antenna beam width, mc is the airport radar surveillance signal pulse width, gl is the airport radar surveillance signal transmission power, σ1 is the compensation factor of the set airport radar surveillance antenna beam width, σ2 is the compensation factor of the set airport radar surveillance signal pulse width, and σ3 is the compensation factor of the set airport radar surveillance signal transmission power.

[0012] As a further solution, based on the acquired airport radar surveillance and identification feature data set, a comprehensive analysis is performed to obtain the airport radar surveillance and identification feature value. The specific analysis process is: based on the airport radar pulse signal sending frequency, an airport radar surveillance and identification feature data set is obtained. The airport radar surveillance and identification feature data set specifically includes the number of birds monitored by the airport radar, the number of people monitored by the airport radar, and the number of vehicles monitored by the airport radar; based on the acquired airport radar surveillance and identification feature data set, a comprehensive analysis is performed to obtain the airport radar surveillance and identification feature value. The airport radar surveillance and identification feature value is used as the analysis basis for determining whether there is a risk in the surveillance area.

[0013] As a further solution, the airport radar monitors and identifies the characteristic values. The specific analysis process is as follows:

[0014]

[0015] Wherein, γ is the characteristic value of airport radar surveillance and identification, nl is the number of birds in the monitoring area identified by the airport radar surveillance, ry is the number of people in the monitoring area identified by the airport radar surveillance, cl is the number of vehicles in the monitoring area identified by the airport radar surveillance, τ1 is the compensation factor for the number of birds in the monitoring area identified by the airport radar surveillance, τ2 is the compensation factor for the number of people in the monitoring area identified by the airport radar surveillance, τ3 is the compensation factor for the number of vehicles in the monitoring area identified by the airport radar surveillance, and e is a natural constant.

[0016] As a further solution, the airport radar surveillance identification evaluation value, the specific analysis process is: import the airport radar surveillance identification deviation value and the airport radar surveillance identification feature value into the airport radar surveillance identification model to obtain the airport radar surveillance identification evaluation value, and the airport radar surveillance identification evaluation value is used as the analysis basis for judging whether there is a risk in the surveillance area.

[0017] As a further solution, it is determined whether there is a risk in the surveillance area, and the scheduling plan for the surveillance area with risk is compared. The specific analysis process is: compare the airport radar surveillance identification evaluation value with the airport radar surveillance identification definition evaluation value stored in the database; if the airport radar surveillance identification evaluation value is higher than or equal to the airport radar surveillance identification definition evaluation value, then the surveillance area corresponding to the airport radar surveillance identification evaluation value is at risk and is marked as a surveillance area with risk, and the difference between the airport radar surveillance identification evaluation value and the airport radar surveillance identification definition evaluation value of the surveillance area with risk is recorded as the airport radar surveillance identification comparison feature value, and the airport radar surveillance identification comparison feature value is compared with the scheduling plan of the surveillance area corresponding to each airport radar surveillance identification comparison feature value stored in the database to obtain the scheduling plan of the surveillance area corresponding to the airport radar surveillance identification comparison feature value, and the scheduling plan of the surveillance area with risk is published based on the intelligent scheduling monitoring platform; if the airport radar surveillance identification evaluation value is lower than the airport radar surveillance identification definition evaluation value, then the surveillance area corresponding to the airport radar surveillance identification evaluation value does not have risk.

[0018] The second aspect of the present invention provides an airport radar monitoring device based on an intelligent scheduling monitoring platform, including a pulse signal sending frequency comparison module, a monitoring identification deviation value comparison module, a monitoring identification feature value acquisition module, a monitoring identification evaluation value acquisition module and a monitoring area risk judgment module, wherein: the pulse signal sending frequency comparison module is used to obtain an airport radar working environment condition data set, and compare the airport radar pulse signal sending frequency based on the obtained airport radar working environment condition data set; the monitoring identification deviation value comparison module is used to obtain an airport radar monitoring signal status data set, and compare the airport radar monitoring signal status data set based on the obtained airport radar monitoring signal status data set. The monitoring identification characteristic value acquisition module is used to obtain the airport radar monitoring identification feature data set based on the airport radar pulse signal sending frequency, and obtain the airport radar monitoring identification feature value through comprehensive analysis based on the obtained airport radar monitoring identification feature data set; the monitoring identification evaluation value acquisition module is used to import the airport radar monitoring identification deviation value and the airport radar monitoring identification feature value into the airport radar monitoring identification model to obtain the airport radar monitoring identification evaluation value; the monitoring area risk judgment module is used to judge whether there is a risk in the monitoring area based on the airport radar monitoring identification evaluation value, and compare the scheduling plan for the monitoring area with risk.

[0019] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0020] (1) The present invention provides an airport radar monitoring device and method based on an intelligent scheduling and monitoring platform, which can provide a more comprehensive understanding of the overall performance and external influencing factors of the radar system. The multi-source data fusion method can provide richer information, lay the foundation for accurate risk assessment and decision support, and help adapt to rapidly changing environmental conditions and operational requirements. The dynamic adjustment capability ensures that the radar system can maintain optimal performance in various environments and conditions. Based on the monitoring identification evaluation value, the scheduling plan of the monitoring area can be formulated or adjusted, which helps to improve the overall operational efficiency of the airport, reduce flight delays and resource waste, and improve safety.

[0021] (2) The present invention obtains the airport radar working environment condition data set, compares the airport radar pulse signal sending frequency, obtains and analyzes the radar working environment condition data set, adjusts the radar pulse signal sending frequency, and optimizes the radar working state. This adaptive adjustment helps to reduce signal attenuation and distortion, improve the accuracy of target detection and recognition, and avoid the interference frequency band of environmental noise, thereby improving the signal-to-noise ratio and enhancing the clarity and detectability of the target signal. By adjusting the radar frequency according to environmental conditions, unnecessary energy consumption can be reduced and the use of system resources can be optimized, which can not only extend the service life of the equipment, but also improve the operational efficiency of the entire radar system.

[0022] (3) The present invention obtains the airport radar monitoring signal status data set and compares it to obtain the airport radar monitoring identification deviation value. The analysis of the deviation value can help identify potential abnormalities in the radar system. By detecting these abnormalities at an early stage, maintenance or adjustment can be carried out in time to avoid affecting the overall performance of the monitoring system. The radar's operating parameters can also be dynamically adjusted, which helps to improve the radar's detection sensitivity and resolution so that it can maintain optimal performance under different environmental conditions. Identifying and correcting the monitoring deviation value helps to enhance the robustness of the radar system so that it can still work reliably in the face of changing environmental conditions. This robustness ensures the long-term stable operation of the system and reduces performance fluctuations caused by environmental changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0024] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0025] Figure 2 It is a schematic diagram of the connection of the device modules of the present invention. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0027] Reference Figure 1 As shown, the first aspect of the present invention provides an airport radar monitoring method based on an intelligent scheduling monitoring platform.

[0028] A data set of airport radar working environment conditions is obtained, and based on the obtained data set of airport radar working environment conditions, the sending frequency of the airport radar pulse signal is obtained by comparison.

[0029] Specifically, the airport radar working environment condition data set includes the airport radar working environment altitude, the airport radar working environment background noise decibel value, and the airport radar working environment atmospheric refractivity. Altitude refers to the vertical height of the airport radar installation location relative to the mean sea level. It is an important parameter in the geographic coordinate system and has a direct impact on the coverage and signal propagation of the radar system. Altitude is usually obtained through high-precision measurement equipment or geographic information system (GIS). The background noise decibel value refers to the environmental noise level in the radar working environment without signal interference. It is measured in decibels (dB) and affects the clarity and quality of the radar received signal. The background noise measurement is usually obtained using a spectrum analyzer. The atmospheric refractivity describes the degree of bending of electromagnetic waves when propagating in the atmosphere. It is affected by factors such as temperature, humidity, and air pressure. It will affect the propagation path of radar waves and thus affect the positioning accuracy of the target. The atmospheric refractivity is usually obtained through an atmospheric sounding instrument.

[0030] It needs to be explained that the above-mentioned altitude has a significant impact on air density. As the altitude increases, the air density decreases and the atmospheric refractive index will change accordingly. Lower air density usually reduces the atmospheric refractive index, thereby affecting the propagation path and bending degree of electromagnetic waves. At high altitudes, the atmospheric refractive index is low, which may lead to a reduction in the bending effect of radar waves during propagation, thereby affecting the detection range and positioning accuracy of the target. Altitude is usually related to the density of human activities. Higher altitudes are often far away from intensive human activities and industrial facilities, which may lead to lower background noise levels. At lower altitudes, especially near cities or industrial areas, the background noise level may be higher, and thus the interference to radar signal reception is also greater. Changes in the atmospheric refractive index will affect the propagation path of electromagnetic waves, which may affect the reception of background noise. Under conditions of high refractive index, the propagation path of electromagnetic waves may be bent, resulting in changes in the distance and direction of noise signal propagation, thereby affecting the background noise level received by the radar.

[0031] Furthermore, based on the acquired data set of airport radar working environment conditions, the airport radar pulse signal sending frequency is obtained by comparison. The specific analysis process is as follows: based on the acquired data set of airport radar working environment conditions, a comprehensive analysis is performed to obtain characteristic values ​​of airport radar working environment conditions, and the characteristic values ​​of airport radar working environment conditions are used as an analysis basis for comparing and obtaining the airport radar pulse signal sending frequency; the characteristic values ​​of airport radar working environment conditions are compared with the airport radar pulse signal sending frequencies corresponding to the characteristic values ​​of each airport radar working environment condition stored in the database to obtain the airport radar pulse signal sending frequency corresponding to the characteristic values ​​of the airport radar working environment conditions.

[0032] It should be explained that the above-mentioned process obtains the airport radar working environment condition data set, compares the airport radar pulse signal sending frequency, obtains and analyzes the radar working environment condition data set, adjusts the radar pulse signal sending frequency, and optimizes the radar's working state. This adaptive adjustment helps to reduce signal attenuation and distortion, improve the accuracy of target detection and recognition, and avoid the interference frequency band of environmental noise, thereby improving the signal-to-noise ratio and enhancing the clarity and detectability of the target signal. By adjusting the radar frequency according to environmental conditions, unnecessary energy consumption can be reduced and the use of system resources can be optimized, which can not only extend the service life of the equipment, but also improve the operational efficiency of the entire radar system.

[0033] It should be explained that the specific analysis process of the above-mentioned characteristic values ​​of the working environment conditions of the airport radar is as follows:

[0034]

[0035] Wherein, β is the characteristic value of the airport radar working environment condition, hb is the altitude of the airport radar working environment, zy is the decibel value of the background noise of the airport radar working environment, zs is the atmospheric refractivity of the airport radar working environment, ε1 is the compensation factor of the set altitude of the airport radar working environment, ε2 is the compensation factor of the set decibel value of the background noise of the airport radar working environment, and ε3 is the compensation factor of the set atmospheric refractivity of the airport radar working environment.

[0036] It needs to be explained that the above-mentioned characteristic values ​​of the working environment conditions of the airport radar are calculated through the altitude of the working environment of the airport radar, the decibel value of the background noise of the working environment of the airport radar, and the atmospheric refractive index of the working environment of the airport radar. The altitude of the working environment of the airport radar, the decibel value of the background noise of the working environment of the airport radar, and the atmospheric refractive index of the working environment of the airport radar are normalized. Taking into account environmental factors such as altitude and atmospheric refractive index, the propagation characteristics of the radar signal can be evaluated more accurately, thereby improving the detection and recognition accuracy of the target. Analysis of the decibel value of background noise can help adjust the radar's signal processing algorithm, reduce the interference of noise on the radar signal, and improve the clarity and reliability of the signal. Understanding the characteristic values ​​under different environmental conditions can optimize the configuration and use of the radar according to the actual working environment, thereby improving the adaptability and operating efficiency of the equipment. Based on the data of environmental characteristic values, more accurate environmental parameters can be embedded in the radar algorithm, thereby improving the prediction ability and reducing the false alarm rate, understanding and quantifying environmental factors. The impact on radar signals helps to reduce failures or performance degradation caused by environmental changes, uses environmental characteristic values ​​for analysis and modeling, promotes the intelligent process of radar technology, and enhances data-driven decision-making capabilities. The set airport radar working environment altitude, airport radar working environment background noise decibel value, and airport radar working environment atmospheric refractive index compensation factor are obtained from the database. According to historical data, a mapping set of historically measured airport radar working environment altitude, airport radar working environment background noise decibel value, and airport radar working environment atmospheric refractive index and airport radar working environment altitude, airport radar working environment background noise decibel value, and airport radar working environment atmospheric refractive index compensation factors is established to obtain the airport radar working environment altitude, airport radar working environment background noise decibel value, and airport radar working environment atmospheric refractive index compensation factors corresponding to the current airport radar working environment altitude, airport radar working environment background noise decibel value, and airport radar working environment atmospheric refractive index.

[0037] In a specific embodiment, the real-time working environment condition characteristic value is compared with the historical data in the database to find the most matching pulse signal transmission frequency. The adaptive adjustment can optimize the signal propagation and reception performance of the radar and improve the accuracy and reliability of target detection. The working environment conditions of the airport radar may change frequently due to factors such as weather changes and seasonal changes. The environmental condition characteristic values ​​are obtained and analyzed in real time, and the corresponding transmission frequencies are compared. The radar system can quickly adapt to these changes and maintain the best operating state. The matching pulse transmission frequency can reduce signal attenuation, interference and distortion, and improve the signal-to-noise ratio (SNR), which not only improves the efficiency and accuracy of target detection, but also reduces the possibility of false alarms and missed alarms, and enhances the overall performance of the radar system. Different transmission frequencies may be affected by different types of noise and interference. Selecting a transmission frequency that best suits the current environmental conditions can effectively avoid the impact of electromagnetic interference and environmental noise on the signal and ensure signal clarity. The current transmission frequency is determined in a data-driven manner, which is not only based on theoretical calculations, but also combined with empirical data in actual operations, providing strong support for decision-making.

[0038] An airport radar surveillance signal status data set is obtained, and based on the obtained airport radar surveillance signal status data set, an airport radar surveillance identification deviation value is obtained by comparison.

[0039] Specifically, based on the acquired airport radar surveillance signal status data set, the airport radar surveillance identification deviation value is obtained by comparison. The specific analysis process is: obtain the airport radar surveillance signal status data set. The airport radar surveillance signal status data set specifically includes the airport radar surveillance antenna beam width, the airport radar surveillance signal pulse width, and the airport radar surveillance signal transmission power. The antenna beam width refers to the angular range of the electromagnetic waves emitted by the radar antenna in a specific direction, expressed in degrees. The narrower the beam width, the higher the spatial resolution of the radar, but the smaller the coverage range. The wide beam has a large coverage range but a lower resolution. Using specific antenna measurement equipment, the antenna beam width can be determined by analyzing the transmitted and received signals. The signal pulse width is the duration of the electromagnetic pulse emitted by the radar, expressed in microseconds. The pulse width affects The distance resolution of the radar, that is, the minimum distance that the radar can distinguish between two adjacent targets, is obtained through an oscilloscope. The signal transmission power is the power of the electromagnetic waves emitted by the radar system, usually expressed in watts. The transmission power determines the detection range of the radar and the strength of the target reflection signal. The transmission power of the radar system is directly measured using a radio frequency power meter. Based on the acquired airport radar surveillance signal status data set, a comprehensive analysis is performed to obtain the airport radar surveillance signal status characteristic value. The airport radar surveillance signal status characteristic value is used as the analysis basis for comparing the airport radar surveillance identification deviation value. The airport radar surveillance signal status characteristic value is compared with the airport radar surveillance identification deviation value corresponding to each airport radar surveillance signal status characteristic value stored in the database to obtain the airport radar surveillance identification deviation value corresponding to the airport radar surveillance signal status characteristic value.

[0040] It needs to be explained that the above-mentioned antenna beam width determines the spatial coverage range of the radar. A narrower beam concentrates the signal energy in a smaller area, which can increase the signal strength and extend the detection distance. Under the same transmission power, a narrow beam can achieve a farther detection range. The narrow beam covers a smaller area, which is not conducive to large-scale surveillance. The narrow beam also improves the spatial resolution of the radar and helps to accurately identify and locate targets, but a narrow beam may require a higher transmission power to cover the same area. Because the signal energy is concentrated in a smaller area, it may cause excessive power density and power loss. The pulse width of the signal directly affects the energy of each pulse. A longer pulse width means more energy accumulation, which helps to increase the echo signal strength of the target, thereby detecting the target at a larger distance. A longer pulse width can make up for the shortcomings of lower transmission power and improve long-range detection capabilities. The combination of narrow beam width and short pulse width is often used to improve the target resolution capability of the radar. The radar can identify and locate multiple targets in a smaller space, as well as distinguish adjacent targets on the range axis.

[0041] It needs to be explained that the above analysis of the airport radar monitoring signal status characteristic values, such as antenna beam width, signal pulse width and signal transmission power, can comprehensively evaluate the performance of the radar system under specific conditions. By comparing these characteristic values ​​with the data in the historical database, it can be determined whether the system has room for optimization. The identification deviation value is the difference between the actual performance of the system and the expected performance. By comparing the radar signal status characteristic values, these deviations can be identified. Clear deviation values ​​can help system engineers identify possible causes, such as equipment aging, environmental changes or improper configuration, so as to take targeted corrective measures. Through continuous monitoring and comparison, the system can detect early signs of abnormal conditions, such as changes in certain parameters beyond the normal range. Timely detection and response can prevent potential problems from further deterioration and ensure the reliability and stability of the radar system. By analyzing the signal status characteristic values ​​and the corresponding identification deviation values, valuable feedback on the optimization of system settings can be obtained. By adjusting parameters such as antenna beam width, pulse width or transmission power, the performance of the radar system can be optimized under different operating conditions.

[0042] It needs to be explained that the above-mentioned airport radar surveillance signal status data set is obtained and compared to obtain the airport radar surveillance identification deviation value. The analysis of the deviation value can help identify potential abnormalities in the radar system. By detecting these abnormalities at an early stage, maintenance or adjustments can be carried out in time to avoid affecting the overall performance of the surveillance system. The radar's operating parameters can also be adjusted dynamically, which helps to improve the radar's detection sensitivity and resolution so that it can maintain optimal performance under different environmental conditions. Identifying and correcting surveillance deviation values ​​helps to enhance the robustness of the radar system so that it can still work reliably in the face of changing environmental conditions. This robustness ensures the long-term stable operation of the system and reduces performance fluctuations caused by environmental changes.

[0043] Furthermore, the airport radar monitoring signal state characteristic value, the specific analysis process is as follows:

[0044]

[0045] Wherein, δ is the state characteristic value of the airport radar surveillance signal, sb is the airport radar surveillance antenna beam width, mc is the airport radar surveillance signal pulse width, gl is the airport radar surveillance signal transmission power, σ1 is the compensation factor of the set airport radar surveillance antenna beam width, σ2 is the compensation factor of the set airport radar surveillance signal pulse width, and σ3 is the compensation factor of the set airport radar surveillance signal transmission power.

[0046] It needs to be explained that the above-mentioned airport radar surveillance signal status characteristic values ​​are calculated through the airport radar surveillance antenna beam width, the airport radar surveillance signal pulse width, and the airport radar surveillance signal transmission power. The airport radar surveillance antenna beam width, the airport radar surveillance signal pulse width, and the airport radar surveillance signal transmission power are normalized. Optimizing the antenna beam width can improve the detection capability of targets in a specific area, reduce the interference of background noise and irrelevant echoes, and enhance the recognition of targets. Reasonable adjustment of the signal pulse width can improve the resolution between different targets, making it easier for the system to distinguish multiple targets at close range. Reasonable calculation of the signal transmission power can reduce energy consumption while ensuring good detection performance, improve the economy and environmental friendliness of the system, and combine the pulse width and transmission power characteristics to enable the system to maintain high accuracy during long-term tracking and effectively reduce dynamic targets. The errors in tracking, with the help of these signal state characteristic values, can provide a more accurate reference basis for the radar data processing algorithm, promote the optimization and improvement of the algorithm, and the set compensation factors of the airport radar surveillance antenna beam width, airport radar surveillance signal pulse width, and airport radar surveillance signal transmission power are obtained from the database. According to historical data, a mapping set of the historically measured airport radar surveillance antenna beam width, airport radar surveillance signal pulse width, airport radar surveillance signal transmission power and the airport radar surveillance antenna beam width, airport radar surveillance signal pulse width, and airport radar surveillance signal transmission power compensation factors is established to obtain the compensation factors of the airport radar surveillance antenna beam width, airport radar surveillance signal pulse width, and airport radar surveillance signal transmission power corresponding to the current airport radar surveillance antenna beam width, airport radar surveillance signal pulse width, and airport radar surveillance signal transmission power.

[0047] Based on the sending frequency of the airport radar pulse signal, an airport radar surveillance identification feature data set is obtained. Based on the obtained airport radar surveillance identification feature data set, a comprehensive analysis is performed to obtain the airport radar surveillance identification feature value.

[0048] Specifically, based on the acquired airport radar surveillance and identification feature data set, a comprehensive analysis is performed to obtain the airport radar surveillance and identification feature value. The specific analysis process is: based on the airport radar pulse signal sending frequency, the airport radar surveillance and identification feature data set is obtained. The airport radar surveillance and identification feature data set specifically includes the number of birds monitored by the airport radar, the number of people monitored by the airport radar, and the number of vehicles monitored by the airport radar. The number of birds monitored by the airport radar refers to the number of birds flying or moving in the airport monitoring area detected and identified by radar technology, and the number of people monitored by the airport radar refers to the number of people monitored and identified in the monitoring area by radar technology. The number of people active in a specific area of ​​an airport and the number of vehicles identified by airport radar in the monitoring area refer to the number of vehicles moving in a specific area of ​​an airport monitored and identified by radar technology. The number of birds, the number of people and the number of vehicles identified by airport radar in the monitoring area are obtained based on K12T bird-detecting radar, L8000 detection and early warning radar, K12 low-altitude surveillance radar and K30 air-to-ground integrated multifunctional radar. Based on the acquired airport radar surveillance and identification feature data set, the airport radar surveillance and identification feature value is obtained through comprehensive analysis. The airport radar surveillance and identification feature value is used as the analysis basis for judging whether there is a risk in the monitoring area.

[0049] It needs to be explained that the above-mentioned birds may have a direct impact on flight safety, and the movement of people and vehicles is related to the efficiency and safety of the overall airport operation. By integrating the monitoring data of birds, people and vehicles, the airport management can have a more comprehensive understanding of the dynamic situation of the airport, thereby formulating more effective emergency plans and safety measures. The activities of birds may be affected by people and vehicles, and traffic activities within the airport may interfere with the habitat and flying habits of birds, leading to changes in bird migration activities.

[0050] It needs to be explained that the above-mentioned monitoring of the number of birds, people and vehicles can timely discover potential safety hazards, prevent bird strike accidents and other safety incidents, and ensure the safety of airport operations. The comprehensive use of characteristic data sets can provide airport management with a quantitative analysis basis, support data-driven decision-making processes, and help identify and evaluate risk levels in different situations. The analysis of characteristic values ​​can realize dynamic monitoring of the surveillance area, effectively adjust flight plans and ground traffic management according to changes in the activities of different birds, people or vehicles, and timely response can greatly reduce the probability of accidents. Establishing a data-based monitoring and decision-making system can improve the management transparency of airports, enhance the public's trust in airport safety measures, and improve the public's satisfaction with airport operations.

[0051] Furthermore, the airport radar monitors and identifies the characteristic values, and the specific analysis process is as follows:

[0052]

[0053] Wherein, γ is the characteristic value of airport radar surveillance and identification, nl is the number of birds in the monitoring area identified by the airport radar surveillance, ry is the number of people in the monitoring area identified by the airport radar surveillance, cl is the number of vehicles in the monitoring area identified by the airport radar surveillance, τ1 is the compensation factor for the number of birds in the monitoring area identified by the airport radar surveillance, τ2 is the compensation factor for the number of people in the monitoring area identified by the airport radar surveillance, τ3 is the compensation factor for the number of vehicles in the monitoring area identified by the airport radar surveillance, and e is a natural constant.

[0054] It needs to be explained that the above-mentioned airport radar surveillance and identification characteristic values ​​are calculated through the number of birds, the number of people and the number of vehicles in the monitoring area identified by the airport radar surveillance. The number of birds, the number of people and the number of vehicles in the monitoring area identified by the airport radar surveillance are normalized to effectively identify the number of birds in the monitoring area, which can provide early warning of potential bird strikes and reduce threats to aircraft safety. It can identify people and vehicles in the monitoring area and promptly discover possible safety hazards to ensure safe management of the airport area. It can accurately identify biological and human activities in the monitoring area so that the airport can respond quickly to emergencies and ensure that effective measures are taken in emergencies. It can accurately understand the dynamic situation in the monitoring area, which helps to reduce false alarms and missed alarms in the security system and improve monitoring efficiency and accuracy. For modern airport operations, it can identify and manage all dynamic factors in the area and help improve To improve the smoothness and safety of the operation process and reduce the probability of accidents, the compensation factors for the number of birds, the number of people and the number of vehicles in the monitoring area identified by airport radar surveillance are obtained from the database. According to historical data, a mapping set of the historically measured number of birds, the number of people and the number of vehicles in the monitoring area and the compensation factors for the number of birds, the number of people and the number of vehicles in the monitoring area are established to obtain the compensation factors for the number of birds, the number of people and the number of vehicles in the monitoring area corresponding to the current number of birds, the number of people and the number of vehicles in the monitoring area.

[0055] The airport radar surveillance identification deviation value and the airport radar surveillance identification feature value are imported into the airport radar surveillance identification model to obtain the airport radar surveillance identification evaluation value.

[0056] Specifically, the airport radar surveillance identification evaluation value, the specific analysis process is: import the airport radar surveillance identification deviation value and the airport radar surveillance identification feature value into the airport radar surveillance identification model to obtain the airport radar surveillance identification evaluation value, and the airport radar surveillance identification evaluation value is used as the analysis basis for judging whether there is a risk in the surveillance area.

[0057] In a specific embodiment, through the modeled evaluation values, the potential risks of the monitoring area can be identified more accurately, thereby improving the accuracy of decision-making. The evaluation values ​​can reflect the dynamic changes in the monitoring area in real time, allowing airport managers to respond quickly and adjust operations in time to deal with emergencies. Based on the quantification of the evaluation values, a unified safety standard can be established, so that the risk situations in different monitoring areas can be compared and evaluated on the same scale. Using the evaluation values, managers can better plan security forces and resource allocation, thereby improving monitoring efficiency and resource utilization.

[0058] It should be explained that the specific analysis process of the above airport radar surveillance and identification model is as follows:

[0059]

[0060] Where ω is the airport radar surveillance identification evaluation value, γ is the airport radar surveillance identification characteristic value, α is the airport radar surveillance identification deviation value, and e is a natural constant.

[0061] It needs to be explained that the above-mentioned airport radar surveillance identification deviation value and airport radar surveillance identification characteristic value are imported into the airport radar surveillance identification model to obtain the airport radar surveillance identification evaluation value. The use of the deviation value and the characteristic value can improve the recognition accuracy of the radar surveillance system and reduce false alarms and missed alarms. The calculation of the evaluation value can realize real-time analysis of radar surveillance data, so that management personnel can timely understand the current air traffic conditions, and can also identify potential safety risk areas, so as to formulate targeted safety management measures, reduce the accident rate, and effectively allocate the airport's safety and monitoring resources to improve the efficiency of resource utilization.

[0062] Based on the airport radar surveillance identification evaluation value, it is determined whether there is a risk in the surveillance area, and the scheduling plan for the surveillance area with risk is compared.

[0063] Specifically, it is determined whether there is a risk in the surveillance area, and the scheduling plan for the surveillance area with risk is compared. The specific analysis process is: compare the airport radar surveillance identification evaluation value with the airport radar surveillance identification definition evaluation value stored in the database; if the airport radar surveillance identification evaluation value is higher than or equal to the airport radar surveillance identification definition evaluation value, then the surveillance area corresponding to the airport radar surveillance identification evaluation value is at risk and is marked as a surveillance area with risk, and the difference between the airport radar surveillance identification evaluation value and the airport radar surveillance identification definition evaluation value of the surveillance area with risk is recorded as the airport radar surveillance identification comparison feature value, and the airport radar surveillance identification comparison feature value is compared with the scheduling plan of the surveillance area corresponding to each airport radar surveillance identification comparison feature value stored in the database to obtain the scheduling plan of the surveillance area corresponding to the airport radar surveillance identification comparison feature value, and the scheduling plan of the surveillance area with risk is published based on the intelligent scheduling monitoring platform; if the airport radar surveillance identification evaluation value is lower than the airport radar surveillance identification definition evaluation value, then the surveillance area corresponding to the airport radar surveillance identification evaluation value does not have risk.

[0064] In a specific embodiment, the system can automatically determine whether there is a risk in the monitoring area, thereby reducing manual intervention and evaluation time, and helping to improve work efficiency. Once a risk monitoring area is identified, the relevant department can immediately take measures to allocate resources to prevent further expansion of safety hazards. By comparing the evaluation value and the stored characteristic value, a more accurate scheduling plan can be formulated to achieve dynamic allocation and optimize the use of airport resources. When the monitoring area is marked as a risk, relevant measures can reduce the possibility of accidents and improve overall safety. By judging the risk status of the monitoring area through the evaluation value, human inputs such as safety inspections and maintenance can be effectively allocated to improve resource utilization. By identifying risk areas, emergency plans can be formulated in advance to enhance the ability to respond to emergencies and improve the overall risk management level.

[0065] It needs to be explained that the above-mentioned airport radar monitoring device and method based on an intelligent scheduling and monitoring platform can provide a more comprehensive understanding of the overall performance and external influencing factors of the radar system. The multi-source data fusion method can provide richer information, lay the foundation for accurate risk assessment and decision support, and help adapt to rapidly changing environmental conditions and operational requirements. The dynamic adjustment capability ensures that the radar system can maintain optimal performance in various environments and conditions. Based on the monitoring identification evaluation value, the scheduling plan of the monitoring area can be formulated or adjusted, which helps to improve the overall operational efficiency of the airport, reduce flight delays and waste of resources, and improve safety at the same time.

[0066] Reference Figure 2As shown, the second aspect of the present invention provides an airport radar monitoring device based on an intelligent scheduling monitoring platform, including a pulse signal sending frequency comparison module, a monitoring identification deviation value comparison module, a monitoring identification feature value acquisition module, a monitoring identification evaluation value acquisition module and a monitoring area risk judgment module.

[0067] The pulse signal sending frequency comparison module is used to obtain the airport radar working environment condition data set, and compare the airport radar pulse signal sending frequency based on the obtained airport radar working environment condition data set.

[0068] The monitoring identification deviation value comparison module is used to obtain the airport radar monitoring signal status data set, and compare the airport radar monitoring identification deviation value based on the obtained airport radar monitoring signal status data set.

[0069] The monitoring identification feature value acquisition module is used to obtain an airport radar monitoring identification feature data set based on the airport radar pulse signal sending frequency, and to obtain an airport radar monitoring identification feature value through comprehensive analysis based on the acquired airport radar monitoring identification feature data set.

[0070] The monitoring identification evaluation value acquisition module is used to import the airport radar monitoring identification deviation value and the airport radar monitoring identification feature value into the airport radar monitoring identification model to obtain the airport radar monitoring identification evaluation value.

[0071] The surveillance area risk judgment module is used to judge whether there is a risk in the surveillance area based on the airport radar surveillance identification evaluation value, and compare the scheduling plan for the surveillance area with risk.

[0072] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An airport radar monitoring method based on an intelligent dispatching monitoring platform, characterized in that: The following steps are involved: Acquire a data set of working environment conditions of an airport radar, and compare and obtain a sending frequency of a pulse signal of an airport radar based on the acquired data set of working environment conditions of the airport radar; Acquire an airport radar surveillance signal status data set, and obtain an airport radar surveillance identification deviation value by comparison based on the acquired airport radar surveillance signal status data set; Based on the airport radar pulse signal transmission frequency, an airport radar surveillance identification feature data set is obtained, and based on the obtained airport radar surveillance identification feature data set, an airport radar surveillance identification feature value is obtained through comprehensive analysis; The airport radar surveillance identification deviation value and the airport radar surveillance identification characteristic value are introduced into the airport radar surveillance identification model to obtain the airport radar surveillance identification evaluation value; Based on the airport radar surveillance identification evaluation value, determine whether there is a risk in the surveillance area, and compare the scheduling plan for the surveillance area with risks; The airport radar working environment condition data set specifically includes the airport radar working environment altitude, the airport radar working environment background noise decibel value, and the airport radar working environment atmospheric refractive index; Based on the obtained airport radar working environment condition data set, the airport radar pulse signal transmission frequency is obtained by comparison. The specific analysis process is as follows: Based on the acquired airport radar working environment condition data set, the characteristic value of the airport radar working environment condition is obtained through comprehensive analysis. The characteristic value of the airport radar working environment condition is used as the analysis basis for comparing the sending frequency of the airport radar pulse signal; Compare the airport radar working environment condition characteristic value with the airport radar pulse signal transmission frequency corresponding to each airport radar working environment condition characteristic value stored in the database to obtain the airport radar pulse signal transmission frequency corresponding to the airport radar working environment condition characteristic value; The characteristic values ​​of the working environment conditions of the airport radar, the specific analysis process is as follows: Wherein, β is the characteristic value of the working environment condition of the airport radar, hb is the altitude of the working environment of the airport radar, zy is the decibel value of the background noise of the working environment of the airport radar, zs is the atmospheric refractive index of the working environment of the airport radar, ε1 is the compensation factor of the set altitude of the working environment of the airport radar, ε2 is the compensation factor of the set decibel value of the background noise of the working environment of the airport radar, and ε3 is the compensation factor of the set atmospheric refractive index of the working environment of the airport radar; Based on the acquired airport radar surveillance signal status data set, the airport radar surveillance identification deviation value is obtained by comparison. The specific analysis process is as follows: Acquire an airport radar surveillance signal status data set, the airport radar surveillance signal status data set specifically including the airport radar surveillance antenna beam width, the airport radar surveillance signal pulse width, and the airport radar surveillance signal transmission power; Based on the acquired airport radar surveillance signal status data set, a comprehensive analysis is performed to obtain the airport radar surveillance signal status characteristic value, and the airport radar surveillance signal status characteristic value is used as the analysis basis for comparing and obtaining the airport radar surveillance identification deviation value; Compare the airport radar surveillance signal state characteristic value with the airport radar surveillance identification deviation value corresponding to each airport radar surveillance signal state characteristic value stored in the database to obtain the airport radar surveillance identification deviation value corresponding to the airport radar surveillance signal state characteristic value; The airport radar monitoring signal state characteristic value, the specific analysis process is: Wherein, δ is the state characteristic value of the airport radar surveillance signal, sb is the airport radar surveillance antenna beam width, mc is the airport radar surveillance signal pulse width, gl is the airport radar surveillance signal transmission power, σ1 is the compensation factor of the set airport radar surveillance antenna beam width, σ2 is the compensation factor of the set airport radar surveillance signal pulse width, and σ3 is the compensation factor of the set airport radar surveillance signal transmission power; Based on the acquired airport radar surveillance identification feature data set, the airport radar surveillance identification feature value is obtained through comprehensive analysis. The specific analysis process is as follows: Based on the frequency of sending airport radar pulse signals, an airport radar surveillance and identification feature data set is obtained. The airport radar surveillance and identification feature data set specifically includes the number of birds monitored and identified by the airport radar in the monitoring area, the number of people monitored and identified by the airport radar in the monitoring area, and the number of vehicles monitored and identified by the airport radar in the monitoring area; Based on the acquired airport radar surveillance identification feature data set, a comprehensive analysis is performed to obtain the airport radar surveillance identification feature value, which is used as the analysis basis for judging whether there is a risk in the surveillance area; The airport radar surveillance identification feature value, the specific analysis process is: Wherein, γ is the characteristic value of airport radar surveillance and identification, nl is the number of birds in the monitoring area identified by the airport radar surveillance and identification, ry is the number of people in the monitoring area identified by the airport radar surveillance and identification, cl is the number of vehicles in the monitoring area identified by the airport radar surveillance and identification, τ1 is the compensation factor of the number of birds in the monitoring area identified by the airport radar surveillance and identification, τ2 is the compensation factor of the number of people in the monitoring area identified by the airport radar surveillance and identification, τ3 is the compensation factor of the number of vehicles in the monitoring area identified by the airport radar surveillance and identification, and e is a natural constant; The specific analysis process of the airport radar surveillance identification evaluation value is as follows: The airport radar surveillance identification deviation value and the airport radar surveillance identification characteristic value are imported into the airport radar surveillance identification model to obtain the airport radar surveillance identification evaluation value, which is used as the analysis basis for judging whether there is a risk in the surveillance area; Airport radar surveillance and recognition model, the specific analysis process is as follows: Where ω is the airport radar surveillance identification evaluation value, γ is the airport radar surveillance identification characteristic value, α is the airport radar surveillance identification deviation value, and e is a natural constant.

2. The airport radar monitoring method based on the intelligent dispatching monitoring platform according to claim 1 is characterized in that: The specific analysis process of judging whether there is a risk in the monitoring area and comparing the scheduling plan for the monitoring area with risk is as follows: comparing the airport radar surveillance identification evaluation value with the airport radar surveillance identification delimitation evaluation value stored in the database; If the airport radar surveillance identification evaluation value is higher than or equal to the airport radar surveillance identification definition evaluation value, then the surveillance area corresponding to the airport radar surveillance identification evaluation value is at risk and is marked as a surveillance area at risk. The difference between the airport radar surveillance identification evaluation value and the airport radar surveillance identification definition evaluation value of the surveillance area at risk is recorded as the airport radar surveillance identification comparison feature value. The airport radar surveillance identification comparison feature value is compared with the scheduling plans of the surveillance areas corresponding to the airport radar surveillance identification comparison feature values ​​stored in the database to obtain the scheduling plan of the surveillance area corresponding to the airport radar surveillance identification comparison feature value, and the scheduling plan of the surveillance area at risk is published based on the intelligent scheduling monitoring platform. If the airport radar surveillance identification assessment value is lower than the airport radar surveillance identification definition assessment value, there is no risk in the surveillance area corresponding to the airport radar surveillance identification assessment value.

3. An airport radar monitoring device based on an intelligent dispatching monitoring platform, characterized in that: An airport radar monitoring method based on an intelligent dispatching monitoring platform as described in any one of claims 1-2, comprising a pulse signal sending frequency comparison module, a monitoring identification deviation value comparison module, a monitoring identification feature value acquisition module, a monitoring identification evaluation value acquisition module and a monitoring area risk judgment module, wherein: The pulse signal transmission frequency comparison module is used to obtain the airport radar working environment condition data set, and compare the airport radar pulse signal transmission frequency based on the obtained airport radar working environment condition data set; The monitoring identification deviation value comparison module is used to obtain an airport radar monitoring signal status data set, and compare and obtain an airport radar monitoring identification deviation value based on the obtained airport radar monitoring signal status data set; The monitoring identification feature value acquisition module is used to acquire an airport radar monitoring identification feature data set based on the airport radar pulse signal transmission frequency, and obtain an airport radar monitoring identification feature value through comprehensive analysis based on the acquired airport radar monitoring identification feature data set; The monitoring identification evaluation value acquisition module is used to import the airport radar monitoring identification deviation value and the airport radar monitoring identification feature value into the airport radar monitoring identification model to obtain the airport radar monitoring identification evaluation value; The monitoring area risk judgment module is used to judge whether there is a risk in the monitoring area based on the airport radar monitoring identification evaluation value, and compare the scheduling plan for the monitoring area with risk.

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